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Biomedicines, Volume 12, Issue 4 (April 2024) – 224 articles

Cover Story (view full-size image): Bacterial discrimination at the ‘species’ and ‘strain’ levels using host responses remains elusive. This research aimed to investigate the proof of concept that bacterial ex vivo whole blood responses can provide sufficient data to discriminate bacteria. The pairwise analysis of immune responses allowed for the development of a scheme for bacterial discrimination at the strain level, with threshold values providing decisions to ‘turn left or right’ to identify bacteria. The accuracy of linear discriminant analysis increased in the following order: strain (40%) → species (90%) → genera (95%). Therefore, host responses in the ex vivo whole blood model can be used to discriminate bacteria, paving the way for biomarker development. View this paper
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16 pages, 910 KiB  
Review
Irisin and Its Role in Postmenopausal Osteoporosis and Sarcopenia
by Irene Falsetti, Gaia Palmini, Simone Donati, Cinzia Aurilia, Teresa Iantomasi and Maria Luisa Brandi
Biomedicines 2024, 12(4), 928; https://doi.org/10.3390/biomedicines12040928 - 22 Apr 2024
Cited by 3 | Viewed by 2915
Abstract
Menopause, an extremely delicate phase in a woman’s life, is characterized by a drop in estrogen levels. This decrease has been associated with the onset of several diseases, including postmenopausal osteoporosis and sarcopenia, which often coexist in the same person, leading to an [...] Read more.
Menopause, an extremely delicate phase in a woman’s life, is characterized by a drop in estrogen levels. This decrease has been associated with the onset of several diseases, including postmenopausal osteoporosis and sarcopenia, which often coexist in the same person, leading to an increased risk of fractures, morbidity, and mortality. To date, there are no approved pharmacological treatments for sarcopenia, while not all of those approved for postmenopausal osteoporosis are beneficial to muscles. In recent years, research has focused on the field of myokines, cytokines, or peptides secreted by skeletal muscle fibers following exercise. Among these, irisin has attracted great interest as it possesses myogenic properties but at the same time exerts anabolic effects on bone and could therefore represent the link between muscle and bone. Therefore, irisin could represent a new therapeutic strategy for the treatment of osteoporosis and also serve as a new biomarker of sarcopenia, thus facilitating diagnosis and pharmacological intervention. The purpose of this review is to provide an updated summary of what we know about the role of irisin in postmenopausal osteoporosis and sarcopenia. Full article
(This article belongs to the Special Issue Hormones and Cytokines in Muscle and Bone Diseases)
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<p>Effects of decreased estrogen levels on bone and muscle. This image was created with BioRender software (<a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>).</p>
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<p>Crosstalk between bone and muscle through cytokine and myokine synthesis, with a focus on the role of irisin in muscle, bone, and adipose tissue. OCN: osteocalcin; OPG: osteoprotegerin; FGF: fibroblast growth factor; SOST: sclerostin; RANKL: receptor activator of nuclear factor κB ligand; IL-7: interleukin-7; IGF: insulin-like growth factor 1; LIF: leukemia inhibitory factor; BDNF: brain-derived neurotropic factor. This image was created with BioRender software (<a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>).</p>
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18 pages, 4058 KiB  
Article
Combined Metabolic Activators with Different NAD+ Precursors Improve Metabolic Functions in the Animal Models of Neurodegenerative Diseases
by Ozlem Altay, Hong Yang, Serkan Yildirim, Cemil Bayram, Ismail Bolat, Sena Oner, Ozlem Ozdemir Tozlu, Mehmet Enes Arslan, Ahmet Hacimuftuoglu, Saeed Shoaie, Cheng Zhang, Jan Borén, Mathias Uhlén, Hasan Turkez and Adil Mardinoglu
Biomedicines 2024, 12(4), 927; https://doi.org/10.3390/biomedicines12040927 - 22 Apr 2024
Cited by 4 | Viewed by 3182
Abstract
Background: Mitochondrial dysfunction and metabolic abnormalities are acknowledged as significant factors in the onset of neurodegenerative disorders such as Parkinson’s disease (PD) and Alzheimer’s disease (AD). Our research has demonstrated that the use of combined metabolic activators (CMA) may alleviate metabolic dysfunctions and [...] Read more.
Background: Mitochondrial dysfunction and metabolic abnormalities are acknowledged as significant factors in the onset of neurodegenerative disorders such as Parkinson’s disease (PD) and Alzheimer’s disease (AD). Our research has demonstrated that the use of combined metabolic activators (CMA) may alleviate metabolic dysfunctions and stimulate mitochondrial metabolism. Therefore, the use of CMA could potentially be an effective therapeutic strategy to slow down or halt the progression of PD and AD. CMAs include substances such as the glutathione precursors (L-serine and N-acetyl cysteine), the NAD+ precursor (nicotinamide riboside), and L-carnitine tartrate. Methods: Here, we tested the effect of two different formulations, including CMA1 (nicotinamide riboside, L-serine, N-acetyl cysteine, L-carnitine tartrate), and CMA2 (nicotinamide, L-serine, N-acetyl cysteine, L-carnitine tartrate), as well as their individual components, on the animal models of AD and PD. We assessed the brain and liver tissues for pathological changes and immunohistochemical markers. Additionally, in the case of PD, we performed behavioral tests and measured responses to apomorphine-induced rotations. Findings: Histological analysis showed that the administration of both CMA1 and CMA2 formulations led to improvements in hyperemia, degeneration, and necrosis in neurons for both AD and PD models. Moreover, the administration of CMA2 showed a superior effect compared to CMA1. This was further corroborated by immunohistochemical data, which indicated a reduction in immunoreactivity in the neurons. Additionally, notable metabolic enhancements in liver tissues were observed using both formulations. In PD rat models, the administration of both formulations positively influenced the behavioral functions of the animals. Interpretation: Our findings suggest that the administration of both CMA1 and CMA2 markedly enhanced metabolic and behavioral outcomes, aligning with neuro-histological observations. These findings underscore the promise of CMA2 administration as an effective therapeutic strategy for enhancing metabolic parameters and cognitive function in AD and PD patients. Full article
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<p>The effect of CMA administration in AD-like animal model. (<b>A</b>) Overview of the study design and group information. The left side of the image describes how the AD-like animal model was generated. Group 1 (n = 4) was fed with chow diet (CD) for 5 weeks; Group 2 (n = 4) was fed with CD and treated with streptozotocin (STZ). The syringe icon shows the STZ injection in the third week. Group 3 (n = 4) was fed with a high-fat diet (HFD) for only 3 weeks, and group 4 (n = 4) was fed with HFD for 5 weeks. Group 5 (n = 2) was fed with HFD for 5 weeks and treated with streptozotocin (STZ). The right side of the image describes a drug administration study. Groups 6–13 were fed with HFD for 5 weeks. In the third week, animals were treated with STZ and administered with individual or combined metabolic activators for 2 weeks. (<b>B</b>) Heatmap shows FC-based relative alterations of the clinical variables in the rat study groups. Asterisks (*) indicate statistical significance based on one-way ANOVA or Mann–Whitney U test, <span class="html-italic">p</span>-value &lt; 0.05 is considered statistical significance. HFD: high-fat diet, Ser: L-serine, NAC: N-acetyl-L-cysteine, LCAT: L-carnitine tartrate, NR: nicotinamide riboside, NAM: nicotinamide, TG: triglyceride, TC: total cholesterol, ALP: alkaline phosphatase, AST: aspartate aminotransferase, ALT: alanine aminotransferase, HDL: high-density lipoprotein, LDL: low-density lipoprotein, LDH: lactate dehydrogenase, CMA1: Combined Metabolic Activators 1; CMA2: Combined Metabolic Activators 2; FC: Fold change. The results from CMA1 and its individual components have been reported earlier [<a href="#B35-biomedicines-12-00927" class="html-bibr">35</a>].</p>
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<p>Histopathological, immunohistochemical and immunofluorescence images of rat tissues in the AD-like animal model. Histopathological image analysis results of rat (<b>A</b>) brain and (<b>B</b>) liver tissue. Slides evaluated by two independent pathologists and immunopositivity scores were: None (−), very mild (+), mild (++), moderate (+++), severe (++++), and very severe (+++++). HFD: high-fat diet, STZ: streptozotocin, Ser: L-serine, NAC: N-acetyl-L-cysteine, LCAT: L-carnitine tartrate, NR: nicotinamide riboside, NAM: nicotinamide, CMA1: Combined Metabolic Activators 1, CMA2: Combined Metabolic Activators 2. The results from CMA1 and its individual components have been reported earlier [<a href="#B35-biomedicines-12-00927" class="html-bibr">35</a>].</p>
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<p>Administration of CMA shows beneficial effects on plasma parameters in PD-like animal models. (<b>A</b>) Overview of the study design and group information. The left side of the image describes how the PD-like animal model was generated. Group 1 (n = 3) was fed with a chow diet (CD) for 5 weeks; Group 2 (n = 3) was fed with CD and treated with 6-OHDA. The syringe icon shows the 6-OHDA injection in the third week. Group 3 (n = 3) was fed with a high-fat diet (HFD) for 5 weeks. Group 4 (n = 3) was fed with HFD and treated with 6-OHDA. The right side of the figure describes drug administration studies. Groups 5–12 were fed with HFD for 5 weeks. In the third week, the animals were treated with 6-OHDA and administered with individual or combined metabolic activators for 2 weeks. (<b>B</b>) Heatmap plot shows log2FC of biochemical variables between treated groups (administered with individual or CMA) and HFD plus 6-OHDA group. Asterisk (*) denotes statistical significance (<span class="html-italic">p</span> &lt; 0.05). The difference and <span class="html-italic">p</span>-value are estimated by one-way ANOVA or Mann–Whitney U test. CD: chow diet, 6-OHDA: 6-hydroxydopamine hydrochloride, HFD: high-fat diet, Ser: L-serine, NAC: N-acetyl-L-cysteine, LCAT: L-carnitine tartrate, NR: nicotinamide riboside, NAM: nicotinamide, CMA1: Combined Metabolic Activators 1, CMA2: Combined Metabolic Activators 2, ALP: alkaline phosphatase, ALT: alanine aminotransferase, AST: aspartate transaminase, BUN: blood urea nitrogen, HCT: hematocrit, HDL: high-density lipoprotein, HGB: hemoglobin, LDH: lactate dehydrogenase, LDL: low-density lipoprotein, MCH: mean corpuscular hemoglobin; MCHC: mean corpuscular hemoglobin concentration, MCV: mean corpuscular volume, PLT: platelet (thrombocyte) count, RBC: red blood cell, WBC: white blood cell, log2FC: log transformation fold change. The results from CMA1 and its individual components have been reported earlier [<a href="#B35-biomedicines-12-00927" class="html-bibr">35</a>].</p>
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<p>Immunohistopathological examination of brain and liver tissues in PD-like animal model. (<b>A</b>) Histopathological image analysis results of rat brain and liver tissue. Slides evaluated by two independent pathologists and immunopositivity scores were: None (−), very mild (+), mild (++), moderate (+++), severe (++++), and very severe (+++++). (<b>B</b>) Bar plot shows immunohistochemical and immunofluorescent findings in brain and liver tissues. Asterisk (***) denotes statistical significance (<span class="html-italic">p</span> &lt; 0.05). The difference and <span class="html-italic">p</span>-value are estimated by one-way ANOVA or Mann–Whitney U test. CD: chow diet, 6-OHDA: 6-hydroxydopamine hydrochloride, HFD: high-fat diet, Ser: L-serine, NAC: N-acetyl-L-cysteine, LCAT: L-carnitine tartrate, NR: nicotinamide riboside, NAM: nicotinamide, CMA1: Combined Metabolic Activators 1, CMA2: Combined Metabolic Activators 2, IF: immunofluorescence; IHC: immunohistochemistry. The results from CMA1 and its individual components have been reported earlier [<a href="#B35-biomedicines-12-00927" class="html-bibr">35</a>].</p>
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<p>Administration of CMA shows beneficial effects on behavioral functions in PD-like animal models. Boxplot showing the changes in locomotor activity in each group. The comparison was applied between the treated groups and the HFD plus 6-OHDA group. CD: chow diet, 6-OHDA: 6-hydroxydopamine hydrochloride, HFD: high-fat diet, Ser: L-serine, NAC: N-acetyl-L-cysteine, LCAT: L-carnitine tartrate, NR: nicotinamide riboside, NAM: nicotinamide, CMA1: Combined Metabolic Activators 1, CMA2: Combined Metabolic Activators 2. The results from CMA1 and its individual components have been reported earlier [<a href="#B35-biomedicines-12-00927" class="html-bibr">35</a>].</p>
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16 pages, 7242 KiB  
Article
The Roles of AGTRAP, ALKBH3, DIVERSIN, NEDD8 and RRM1 in Glioblastoma Pathophysiology and Prognosis
by Claudia Alexandra Dumitru, Nikolas Walter, Carl Ludwig Raven Siebert, Frederik Till Alexander Schäfer, Ali Rashidi, Belal Neyazi, Klaus-Peter Stein, Christian Mawrin and Ibrahim Erol Sandalcioglu
Biomedicines 2024, 12(4), 926; https://doi.org/10.3390/biomedicines12040926 - 22 Apr 2024
Viewed by 1574
Abstract
This study determined the expression of five novel biomarker candidates in IDH wild-type glioblastoma (GBM) tissues compared to non-malign brain parenchyma, as well as their prognostic relevance for the GBM patients’ outcomes. The markers were analysed by immunohistochemistry in tumour tissues (n = [...] Read more.
This study determined the expression of five novel biomarker candidates in IDH wild-type glioblastoma (GBM) tissues compared to non-malign brain parenchyma, as well as their prognostic relevance for the GBM patients’ outcomes. The markers were analysed by immunohistochemistry in tumour tissues (n = 186) and healthy brain tissues (n = 54). The association with the patients’ overall survival (OS) and progression-free survival (PFS) was assessed by Kaplan–Meier and log-rank test. The prognostic value of the markers was determined using multivariate Cox proportional hazard models. AGTRAP, DIVERSIN, cytoplasmic NEDD8 (NEDD8c) and RRM1 were significantly overexpressed in tumour tissues compared to the healthy brain, while the opposite was observed for ALKBH3. AGTRAP, ALKBH3, NEDD8c and RRM1 were significantly associated with OS in univariate analysis. AGTRAP and RRM1 were also independent prognostic factors for OS in multivariate analysis. For PFS, only AGTRAP and NEDD8c reached significance in univariate analysis. Additionally, AGTRAP was an independent prognostic factor for PFS in multivariate models. Finally, combined analysis of the markers enhanced their prognostic accuracy. The combination AGTRAP/ALKBH3 had the strongest prognostic value for the OS of GBM patients. These findings contribute to a better understanding of the GBM pathophysiology and may help identify novel therapeutic targets in this type of cancer. Full article
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<p><b>Marker expression in GBM tissues.</b> Representative micrographs showing weak (1 point), medium (2 points) and strong (3 points) cytoplasmic expression of (<b>A</b>) AGTRAP, (<b>B</b>) ALKBH3, (<b>C</b>) DIVERSIN, (<b>D</b>) NEDD8c and (<b>F</b>) RRM1. The H-score was subsequently calculated according to the formula (1 × X) + (2 × Y) + (3 × Z), where X + Y + Z = 100% of the total tumour area. (<b>E</b>) The 5-tier score for nuclear NEDD8 (NEDD8n) according to the percentage of positive cells.</p>
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<p><b>Marker expression in healthy versus GBM tissues.</b> Expression of (<b>A</b>) AGTRAP, (<b>C</b>) ALKBH3, (<b>E</b>) DIVERSIN, (<b>G</b>) NEDD8c and (<b>I</b>) RRM1 in GBM (n = 186) and tumour-free adjacent brain tissues (n = 54). The medians are shown as black lines and the percentiles (25th and 75th) as vertical boxes with error bars. The outliers are indicated by circles. Statistical analysis was performed with the Mann–Whitney U test, and the <span class="html-italic">p</span>-values are indicated in the upper-right corner of each plot. (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) Representative micrographs showing the expression of the markers in the solid tumour area (T) versus the adjacent, tumour-free tissue area (H).</p>
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<p><b>Marker expression and the overall survival of GBM patients—univariate analysis.</b> (<b>A</b>–<b>F</b>) The expression levels of the markers were dichotomised into ‘low’ and ‘high’ according to the median-split method. Kaplan–Meier curves were generated for the 36-month overall survival, and statistical analysis was performed with the log-rank test. The <span class="html-italic">p</span>-values are indicated in the upper-right corner of each plot.</p>
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<p><b>New univariate analysis of DIVERSIN and RRM1 in relation to the overall survival of GBM patients.</b> The expression levels of (<b>A</b>) DIVERSIN and (<b>B</b>) RRM1 were dichotomised into ‘low’ and ‘high’ according to the median values of the healthy tissues. Kaplan–Meier curves were generated for the 36-month overall survival, and statistical analysis was performed with the log-rank test. The <span class="html-italic">p</span>-values are indicated in the upper-right corner of each plot.</p>
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<p><b>Marker expression and the progression-free survival of GBM patients—univariate analysis.</b> (<b>A</b>–<b>F</b>) The expression levels of the markers were dichotomised into ‘low’ and ‘high’ according to the median-split method. Kaplan–Meier curves were generated for the 12-month progression-free survival and statistical analysis was performed with the log-rank test. The <span class="html-italic">p</span>-values are indicated in the upper-right corner of each plot.</p>
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<p><b>Prognostic accuracy of individual and combination markers regarding OS and PFS of GBM patients.</b> Only the markers that reached significance in the univariate survival analysis are included in this overview. Markers with stronger prognostic value are indicated by ‘&gt;’. Markers with approximately equal prognostic value are indicated by ‘≈’.</p>
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24 pages, 2413 KiB  
Review
Pleiotropic Action of TGF-Beta in Physiological and Pathological Liver Conditions
by Michał Jakub Braczkowski, Klaudia Maria Kufel, Julia Kulińska, Daniel Łukasz Czyż, Aleksander Dittmann, Michał Wiertelak, Marcin Sławomir Młodzik, Ryszard Braczkowski and Dariusz Soszyński
Biomedicines 2024, 12(4), 925; https://doi.org/10.3390/biomedicines12040925 - 22 Apr 2024
Cited by 4 | Viewed by 2376
Abstract
The aim of this study is to review and analyze the pleiotropic effects of TGF-β in physiological and pathological conditions of the liver, with particular emphasis on its role in immune suppression, wound healing, regulation of cell growth and differentiation, and liver cell [...] Read more.
The aim of this study is to review and analyze the pleiotropic effects of TGF-β in physiological and pathological conditions of the liver, with particular emphasis on its role in immune suppression, wound healing, regulation of cell growth and differentiation, and liver cell apoptosis. A literature review was conducted, including 52 studies, comprising review articles, in vitro and in vivo studies, and meta-analyses. Only studies published in peer-reviewed scientific journals were included in the analysis. TGF-β is a pleiotropic growth factor that is crucial for the liver, both in physiology and pathophysiology. Although its functions are complex and diverse, TGF-β plays a constant role in immune suppression, wound healing, and the regulation of cell growth and differentiation. In concentrations exceeding the norm, it can induce the apoptosis of liver cells. Increased TGF-β levels are observed in many liver diseases, such as fibrosis, inflammation, and steatosis. TGF-β has been shown to play a key role in many physiological and pathological processes of the liver, and its concentration may be a potential diagnostic and prognostic marker in liver diseases. Full article
(This article belongs to the Special Issue The Role of Cytokines in Health and Disease: 2nd Edition)
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<p>Precursor synthesis, fission in the AG, exocytosis of SLC and LCC, hydrolysis, and maturation of TGF-β.</p>
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<p>Integration of mature TGF-β with the membrane receptor; creation of the membrane receptor complex; and induction of the signal to the nucleus via the SMAD family. The dotted line indicates positive feedback induction of the SMAD7 inhibitor.</p>
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<p>Treg impairment in AIH. The imbalance of Treg and Teff cells fuels tissue damage in AIH by allowing overactive T cells to attack liver cells with increased cytotoxicity and secretion of proinflammatory cytokines like IFN-γ and IL-17. The impairment of Treg cells can stem from various factors such as reduced frequency, defective function, an increased tendency to acquire effector cell features (plasticity), and altered metabolism that limit their ability to produce certain molecules like adenosine and IL-10. Consequently, immune cells from AIH patients are less responsive to regulatory control by Tregs.</p>
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<p>HCV modulates Smad signaling at different levels. HCV core protein increases TGF-β transcription and inhibits Smad-2/Smad-3 complex formation and signaling through direct interaction with Smad-3. NS3 also inhibits Smad-3 complex formation. NS5A inhibits R-Smad phosphorylation, in effect reducing TGF-β-induced apoptosis [<a href="#B41-biomedicines-12-00925" class="html-bibr">41</a>].</p>
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<p>(<b>A</b>) As a result of activation of the type I transforming growth factor-β (TGF-β) receptor (TβRI), the serine residues at the C-terminus of the Smad-3 molecule are phosphorylated. The phosphorylated Smad-3C then translocates, together with Smad-4, to the cell nucleus, where it affects cell growth inhibition by stimulating (bold arrow) the expression of the p15INK4B and p21CIP1 genes. (<b>B</b>) Pro-inflammatory cytokines, such as tumor necrosis factor-α (TNF-α), activate the N-terminal c-Jun fragment kinase (JNK), causing phosphorylation of the Smad3 linker region. Phosphorylated at the Smad3 linker region (pSmad3L) translocates with the Smad4 complex into the cell nucleus, leading to the activation of c-Myc expression, which stimulates cell proliferation, and plasminogen activator inhibitor type 1 (PAI-1), which promotes cell invasion and migration.</p>
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19 pages, 10417 KiB  
Article
Chemerin in Participants with or without Insulin Resistance and Diabetes
by Lei Zhao, Jonathan Zhou, Fahim Abbasi, Mohsen Fathzadeh, Joshua W. Knowles, Lawrence L. K. Leung and John Morser
Biomedicines 2024, 12(4), 924; https://doi.org/10.3390/biomedicines12040924 - 22 Apr 2024
Cited by 3 | Viewed by 1997
Abstract
Chemerin is a chemokine/adipokine, regulating inflammation, adipogenesis and energy metabolism whose activity depends on successive proteolytic cleavages at its C-terminus. Chemerin levels and processing are correlated with insulin resistance. We hypothesized that chemerin processing would be higher in individuals with type 2 diabetes [...] Read more.
Chemerin is a chemokine/adipokine, regulating inflammation, adipogenesis and energy metabolism whose activity depends on successive proteolytic cleavages at its C-terminus. Chemerin levels and processing are correlated with insulin resistance. We hypothesized that chemerin processing would be higher in individuals with type 2 diabetes (T2D) and in those who are insulin resistant (IR). This hypothesis was tested by characterizing different chemerin forms by specific ELISA in the plasma of 18 participants with T2D and 116 without T2D who also had their insulin resistance measured by steady-state plasma glucose (SSPG) concentration during an insulin suppression test. This approach enabled us to analyze the association of chemerin levels with a direct measure of insulin resistance (SSPG concentration). Participants were divided into groups based on their degree of insulin resistance using SSPG concentration tertiles: insulin sensitive (IS, SSPG ≤ 91 mg/dL), intermediate IR (IM, SSPG 92–199 mg/dL), and IR (SSPG ≥ 200 mg/dL). Levels of different chemerin forms were highest in patients with T2D, second highest in individuals without T2D who were IR, and lowest in persons without T2D who were IM or IS. In the whole group, chemerin levels positively correlated with both degree of insulin resistance (SSPG concentration) and adiposity (BMI). Participants with T2D and those without T2D who were IR had the most proteolytic processing of chemerin, resulting in higher levels of both cleaved and degraded chemerin. This suggests that increased inflammation in individuals who have T2D or are IR causes more chemerin processing. Full article
(This article belongs to the Special Issue Recent Advances in Adipokines—2nd Edition)
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<p>Characterization of specific antibody against recombinant chem144D. Recombinant chem163S (blue circle), chem158K (orange square), chem157S (red triangle), chem156F (gray triangle), chem155A (yellow diamond), and chem144D (green circle) by anti-chem144D IgY were detected using specific chem144D ELISA as described in the “Materials and Methods” <a href="#sec2dot5-biomedicines-12-00924" class="html-sec">Section 2.5</a>. Only recombinant chem144D is detected. Cognate peptide (green square) competes in the ELISA.</p>
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<p>Levels of chemerin forms in plasma from the participants with and without T2D included in the study. Total chemerin, Chem163S, Chem158K, Chem157S, and Chem156F, Chem155A, and Chem144D levels in human plasma from 116 participants without T2D (<b>A</b>), and 18 participants with T2D (<b>B</b>) were determined using total chemerin ELISA and specific chemerin ELISAs as described in the “Materials and Methods” <a href="#sec2dot5-biomedicines-12-00924" class="html-sec">Section 2.5</a>.</p>
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<p>Levels of plasma total chemerin in individuals who were insulin sensitive (IS, SSPG ≤ 91 mg/dL, <span class="html-italic">n</span> = 39), intermediate (IM, SSPG 92–199 mg/dL, <span class="html-italic">n</span> = 38), insulin resistant (IR, SSPG ≥ 200 mg/dL, <span class="html-italic">n</span> = 39), or had diabetes (T2D, <span class="html-italic">n</span> = 18). In the IS, IM, IR, and T2D groups, total chemerin levels were determined using the total chemerin ELISA described in the “Materials and Methods” <a href="#sec2dot5-biomedicines-12-00924" class="html-sec">Section 2.5</a>. Colored horizontal thick lines show the mean and thin lines ± SEM. *: &lt;0.05, **: &lt;0.01. ***: &lt;0.001, ****: &lt;0.0001.</p>
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<p>Levels of plasma specific chemerin in individuals who were insulin sensitive (IS, SSPG ≤ 91 mg/dL, <span class="html-italic">n</span> = 39), intermediate IR (IM, SSPG 92–199 mg/dL, <span class="html-italic">n</span> = 38), insulin resistant (IR, SSPG &gt; 200 mg/dL <span class="html-italic">n</span> = 39), or had diabetes (T2D, <span class="html-italic">n</span> = 18). (<b>A</b>) Chem163S, Chem158K, Chem157S and Chem156F, Chem155A, and Chem144D levels in plasma of IS, IM, IR, and T2D participants were determined using specific chemerin ELISAs as described in the “Materials and Methods” <a href="#sec2dot5-biomedicines-12-00924" class="html-sec">Section 2.5</a>. Colored horizontal thick lines show the mean and thin lines ± SEM. *: &lt;0.05, **: &lt;0.01. ****: &lt;0.0001. (<b>B</b>) The average fraction of the different chemerin forms in the four study groups are displayed.</p>
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<p>Levels of plasma cleaved and degraded chemerin in samples from individuals who are insulin sensitive (IS, SSPG ≤ 91 mg/dL, <span class="html-italic">n</span> = 39), intermediate IR (IM, SSPG 92–199 mg/dL, <span class="html-italic">n</span> = 38), insulin resistant (IR, SSPG ≥ 200 mg/dL, <span class="html-italic">n</span> = 38), or had diabetes (T2D, <span class="html-italic">n</span> = 18). Cleaved chemerin (<b>A</b>) and degraded chemerin (<b>B</b>) levels in plasma of IS, IM, IR, and T2D participants were determined as described in the “Materials and Methods” <a href="#sec2dot5-biomedicines-12-00924" class="html-sec">Section 2.5</a>. Horizontal lines show the mean (thick line) ± SEM (thin lines). *: &lt;0.05, **: &lt;0.01. ***: &lt;0.001, ****: &lt;0.0001.</p>
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<p>Correlations of levels of total, cleaved, and degraded chemerin with SSPG concentration and BMI. Correlations included all samples and were fitted by regression analysis to exponential growth curves as described in the Materials and Methods <a href="#sec2dot7-biomedicines-12-00924" class="html-sec">Section 2.7</a>. The regression is represented by the solid line with its equation shown and the grey shaded area represents the 95% confidence intervals: (<b>A</b>) SSPG concentration vs. total chemerin (<b>B</b>) SSPG concentration vs. cleaved chemerin (<b>C</b>) SSPG concentration vs. degraded chemerin (<b>D</b>) BMI vs. total chemerin (<b>E</b>) BMI vs. cleaved chemerin (<b>F</b>) BMI vs. degraded chemerin. T2D<sup>+</sup>: participants with diabetes, T2D<sup>−</sup>: participants without diabetes.</p>
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<p>ROC curve of naive Bayes classification model using BMI and FPG in combination with or without total chemerin (<b>A</b>), with or without cleaved chemerin (<b>B</b>) and with or without degraded chemerin (<b>C</b>) in individuals without T2D. Classification models using the naive Bayesian algorithm were constructed as described in the “Materials and Methods” <a href="#sec2dot7-biomedicines-12-00924" class="html-sec">Section 2.7</a>. The ROC curves with total chemerin, cleaved chemerin, or degraded chemerin (displayed in blue) show an improvement in AUC (0.86 ± 0.08, 0.86 ± 0.08 and 0.84 ± 0.09 for total chemerin, cleaved chemerin, or degraded chemerin, respectively) over that of ROC without degraded, cleaved, or total chemerin (displayed in green) (0.77 ± 0.1).</p>
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26 pages, 5045 KiB  
Review
Applications of Hydrogels in Osteoarthritis Treatment
by Xin Gan, Xiaohui Wang, Yiwan Huang, Guanghao Li and Hao Kang
Biomedicines 2024, 12(4), 923; https://doi.org/10.3390/biomedicines12040923 - 22 Apr 2024
Cited by 12 | Viewed by 4938
Abstract
This review critically evaluates advancements in multifunctional hydrogels, particularly focusing on their applications in osteoarthritis (OA) therapy. As research evolves from traditional natural materials, there is a significant shift towards synthetic and composite hydrogels, known for their superior mechanical properties and enhanced biodegradability. [...] Read more.
This review critically evaluates advancements in multifunctional hydrogels, particularly focusing on their applications in osteoarthritis (OA) therapy. As research evolves from traditional natural materials, there is a significant shift towards synthetic and composite hydrogels, known for their superior mechanical properties and enhanced biodegradability. This review spotlights novel applications such as injectable hydrogels, microneedle technology, and responsive hydrogels, which have revolutionized OA treatment through targeted and efficient therapeutic delivery. Moreover, it discusses innovative hydrogel materials, including protein-based and superlubricating hydrogels, for their potential to reduce joint friction and inflammation. The integration of bioactive compounds within hydrogels to augment therapeutic efficacy is also examined. Furthermore, the review anticipates continued technological advancements and a deeper understanding of hydrogel-based OA therapies. It emphasizes the potential of hydrogels to provide tailored, minimally invasive treatments, thus highlighting their critical role in advancing the dynamic field of biomaterial science for OA management. Full article
(This article belongs to the Special Issue Musculoskeletal Diseases: From Molecular Basis to Therapy (Volume II))
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<p>(<b>A</b>) Schematic Diagram of the Pathogenesis of OA and (<b>B</b>) Various Hydrogel Treatments for OA.</p>
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<p>(<b>A</b>) Number of SCI indexed publications on various types of source-based hydrogels used in OA treatment. (<b>B</b>) Number of SCI indexed publications comparing injectable hydrogels to other hydrogel-based treatment methods.</p>
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<p>Classification and Structural Diagram of Hydrogel Raw Material Sources. Natural hydrogels include hyaluronic acid, alginate, chitosan, and gelatin. Synthetic hydrogels encompass poly(N-isopropylacrylamide), polyvinyl alcohol, polyethylene glycol, and polyacrylic acid hydrogels.</p>
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<p>Schematic Diagram of Hydrogel Cross-Linking Methods. (<b>A</b>) Classification and principles of chemical cross-linking in hydrogels. (<b>B</b>) Classification and principles of physical cross-linking in hydrogels. The small balls represent different atoms or ions involved in cross-linking. The gray arrows represent crosslinking reactions. Red and green arrows represent electrostatic forces.</p>
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<p>(<b>A</b>) Drugs and bioactive substances in hydrogel delivery systems used for treating OA. (<b>B</b>) Principles and mechanisms of hydrogel treatment for OA.</p>
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<p>A possible and feasible method of creation and therapeutic process of hydrogel microneedles for treating OA can be described as follows: After successful loading of drugs or bioactive substances and subsequent crosslinking, hydrogel is formed into a microneedle array using 3D printing technology. These microneedles, exceedingly small in size, are designed to penetrate the stratum corneum, the outermost layer of the skin, without affecting underlying nerves. Specifically engineered for targeted joint areas, these hydrogel microneedles, upon penetrating the skin, facilitate the release of the encapsulated medication into the body, thereby providing more precise and localized treatment for OA [<a href="#B126-biomedicines-12-00923" class="html-bibr">126</a>].</p>
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<p>Illustration of the Principles of Microfluidic Technology and Photocuring Molding Technique Using GelMA Hydrogel Microspheres as an Example. GelMA, combined with the desired drugs or bioactive substances, passes through the micro-orifices in the microfluidic device to form uniformly textured microspheres loaded with the drug. These are then solidified and molded under ultraviolet light radiation.</p>
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<p>Multiple Responsive Hydrogels for Treating OA. (<b>A</b>) Diagrammatic representation of OA. (<b>B</b>–<b>G</b>) Illustrations depicting the principles of temperature-responsive, mechanical-responsive, pH-responsive, enzyme-responsive, magnetic-responsive, and ROS-responsive hydrogels, respectively. Black arrows represent responsive reactions.</p>
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<p>Preparation of Decellularized Matrix Hydrogel Derived from Rat Chondrocytes and Its Application in OA Treatment. Rat cartilage undergoes decellularization to form a sol containing the extracellular matrix of chondrocytes. This is then cross-linked with PEGDA to form an injectable, photosensitive decellularized matrix hydrogel drug delivery system, which gels inside the body under blue light radiation.</p>
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<p>Schematic Diagram of Entangled Cross-Linked Protein Hydrogels. The gelation process of entangled protein hydrogels includes four stages: concentration of solution, chemical denaturation, denaturation cross-linking, and renaturation folding.</p>
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<p>Schematic Diagram of Superlubricating Hydrogels. The diagram illustrates the design of ball bearing-inspired superlubricated microsphere, which synergistically treats OA in rats. The advent of this hydrogel marks a significant milestone in the treatment of OA, through enhanced hydration lubrication and sustained drug release [<a href="#B144-biomedicines-12-00923" class="html-bibr">144</a>].</p>
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20 pages, 1820 KiB  
Article
Atorvastatin Treatment Significantly Increased the Concentration of Bone Marrow-Derived Mononuclear Cells and Transcutaneous Oxygen Pressure and Lowered the Pain Scale after Bone Marrow Cells Treatment in Patients with “No-Option” Critical Limb Ischaemia
by Jan Kyselovic, Adriana Adamičková, Andrea Gažová, Simona Valášková, Nikola Chomaničová, Zdenko Červenák and Juraj Madaric
Biomedicines 2024, 12(4), 922; https://doi.org/10.3390/biomedicines12040922 - 22 Apr 2024
Viewed by 1737
Abstract
Background: The present study investigated the outcomes and possible predictive factors of autologous bone marrow cells (BMCs) therapy in patients with ”no-option“ critical limb ischaemia (CLI). It was focused on exploring the clinical background and prior statin and renin-angiotensin system (RAS)-acting agents pharmacotherapy [...] Read more.
Background: The present study investigated the outcomes and possible predictive factors of autologous bone marrow cells (BMCs) therapy in patients with ”no-option“ critical limb ischaemia (CLI). It was focused on exploring the clinical background and prior statin and renin-angiotensin system (RAS)-acting agents pharmacotherapy related to the therapeutic efficacy of BMCs treatment. Methods: In the present study, we reviewed thirty-three patients (mean age 64.9 ± 10 years; 31 males) with advanced CLI after failed or impossible revascularisation, who were treated with 40 mL of autologous BMCs by local intramuscular application. Patients with limb salvage and wound healing (N = 22) were considered as responders to BMCs therapy, and patients with limb salvage and complete ischemic wound healing (N = 13) were defined as super-responders. Logistic regression models were used to screen and identify the prognostic factors, and a receiver operating characteristics (ROC) curve, a linear regression, and a survival curve were drawn to determine the predictive accuracy, the correlation between the candidate predictors, and the risk of major amputation. Results: Based on the univariate regression analysis, baseline C-reactive protein (CRP) and transcutaneous oxygen pressure (TcPO2) values were identified as prognostic factors of the responders, while CRP value, ankle-brachial index (ABI), and bone marrow-derived mononuclear cells (BM-MNCs) concentration were identified as prognostic factors of the super-responders. An area under the ROC curve of 0.768 indicated good discrimination for CRP > 8.1 mg/L before transplantation as a predictive factor for negative clinical response. Linear regression analysis revealed a significant dependence between the levels of baseline CRP and the concentration of BM-MNCs in transplanted bone marrow. Patients taking atorvastatin before BMCs treatment (N = 22) had significantly improved TcPO2 and reduced pain scale after BMCs transplant, compared to the non-atorvastatin group. Statin treatment was associated with reduced risk for major amputation. However, the difference was not statistically significant. Statin use was also associated with a significantly higher concentration of BM-MNCs in the transplanted bone marrow compared to patients without statin treatment. Patients treated with RAS-acting agents (N = 20) had significantly reduced pain scale after BMCs transplant, compared to the non-RAS-acting agents group. Similar results, reduced pain scale and improved TcPO2, were achieved in patients treated with atorvastatin and RAS-acting agents (N = 17) before BMCs treatment. Results of the Spearman correlation showed a significant positive correlation between CLI regression, responders, and previous therapy before BMCs transplant with RAS-acting agents alone or with atorvastatin. Conclusions: CRP and TcPO2 were prognostic factors of the responders, while CRP value, ABI, and BM-MNCs concentration were identified as predictive factors of the super-responders. Atorvastatin treatment was associated with a significantly increased concentration of BM-MNCs in bone marrow concentrate and higher TcPO2 and lower pain scale after BMCs treatment in CLI patients. Similarly, reduced pain scales and improved TcPO2 were achieved in patients treated with atorvastatin and RAS-acting agents before BMCs treatment. Positive correlations between responders and previous treatment before BMCs transplant with RAS-acting agents alone or with atorvastatin were significant. Full article
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<p>Study flow diagram. NO-CLI, “no-option” critical limb ischaemia.</p>
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<p>Comparison of longitudinal TcPO<sub>2</sub> changes (mean with SEM) in the ischemic limbs of the responders and non-responders (<b>A</b>) and linear regression between TcPO<sub>2</sub> at baseline and at six months post-transplantation, depicted with a solid fitting line, dotted 95% confidence interval bars and lined 95% prediction intervals (<b>B</b>). * The difference between six months and baseline in responders was statistically significant (<span class="html-italic">p</span> = 0.008). TcPO<sub>2</sub>, transcutaneous oxygen pressure.</p>
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<p>Receiver operating characteristics of CRP levels for predicting the BMCs therapeutic response. Area under the receiver operating characteristic (ROC) curve: CRP = 0.768 (CI 0.572–0.96, <span class="html-italic">p</span> = 0.014) (<b>A</b>) and linear regression between CRP and BM-MNCs, with lined 95% confidence interval bars and lined 95% prediction intervals (<b>B</b>). CRP, C-reaction protein; BMCs, bone marrow cells; BM-MNCs, bone marrow-derived mononuclear cells.</p>
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<p>Comparison of longitudinal TcPO<sub>2</sub> changes (mean with SEM) in the ischemic limbs of patients treated with or without atorvastatin prior to BMCs treatment (<b>A</b>); comparison of longitudinal pain scale changes (mean with SEM) in the ischemic limbs of patients treated with or without atorvastatin prior to BMCs treatment (<b>B</b>); Kaplan-Meier curve to six months post-transplantation showing the proportion free of amputation (<b>C</b>). TcPO<sub>2</sub>, transcutaneous oxygen pressure. * The difference between six months and baseline in responders was statistically significant.</p>
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<p>Kaplan-Meier curve to six months post-transplantation showing the proportion free of amputation.</p>
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<p>Kaplan-Meier curve to six months post-transplantation showing the proportion free of amputation.</p>
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10 pages, 500 KiB  
Review
Circulating Tumour DNA and Its Prognostic Role in Management of Muscle Invasive Bladder Cancer: A Narrative Review of the Literature
by Konstantinos Kapriniotis, Lazaros Tzelves, Lazaros Lazarou, Maria Mitsogianni and Iraklis Mitsogiannis
Biomedicines 2024, 12(4), 921; https://doi.org/10.3390/biomedicines12040921 - 21 Apr 2024
Cited by 1 | Viewed by 1542
Abstract
Current management of non-metastatic muscle invasive bladder cancer (MIBC) includes radical cystectomy and cisplatin-based neoadjuvant chemotherapy (NAC), offers a 5-year survival rate of approximately 50% and is associated with significant toxicities. A growing body of evidence supports the role of liquid biopsies including [...] Read more.
Current management of non-metastatic muscle invasive bladder cancer (MIBC) includes radical cystectomy and cisplatin-based neoadjuvant chemotherapy (NAC), offers a 5-year survival rate of approximately 50% and is associated with significant toxicities. A growing body of evidence supports the role of liquid biopsies including circulating tumour DNA (ctDNA) as a prognostic and predictive marker that could stratify patients according to individualised risk of progression/recurrence. Detectable ctDNA levels prior to radical cystectomy have been shown to be correlated with higher risk of recurrence and worse overall prognosis after cystectomy. In addition, ctDNA status after NAC/neoadjuvant immunotherapy is predictive of the pathological response to these treatments, with persistently detectable ctDNA being associated with residual bladder tumour at cystectomy. Finally, detectable ctDNA levels post-cystectomy have been associated with disease relapse and worse disease-free (DFS) and overall survival (OS) and might identify a population with survival benefit from adjuvant immunotherapy. Full article
15 pages, 3246 KiB  
Article
Stimulator of Interferon Genes Pathway Activation through the Controlled Release of STINGel Mediates Analgesia and Anti-Cancer Effects in Oral Squamous Cell Carcinoma
by Minh Phuong Dong, Neeraja Dharmaraj, Estela Kaminagakura, Jianfei Xue, David G. Leach, Jeffrey D. Hartgerink, Michael Zhang, Hana-Joy Hanks, Yi Ye, Bradley E. Aouizerat, Kyle Vining, Carissa M. Thomas, Sinisa Dovat, Simon Young and Chi T. Viet
Biomedicines 2024, 12(4), 920; https://doi.org/10.3390/biomedicines12040920 - 21 Apr 2024
Viewed by 2279
Abstract
Oral squamous cell carcinoma (OSCC) presents significant treatment challenges due to its poor survival and intense pain at the primary cancer site. Cancer pain is debilitating, contributes to diminished quality of life, and causes opioid tolerance. The stimulator of interferon genes (STING) agonism [...] Read more.
Oral squamous cell carcinoma (OSCC) presents significant treatment challenges due to its poor survival and intense pain at the primary cancer site. Cancer pain is debilitating, contributes to diminished quality of life, and causes opioid tolerance. The stimulator of interferon genes (STING) agonism has been investigated as an anti-cancer strategy. We have developed STINGel, an extended-release formulation that prolongs the availability of STING agonists, which has demonstrated an enhanced anti-tumor effect in OSCC compared to STING agonist injection. This study investigates the impact of intra-tumoral STINGel on OSCC-induced pain using two separate OSCC models and nociceptive behavioral assays. Intra-tumoral STINGel significantly reduced mechanical allodynia in the orofacial cancer model and alleviated thermal and mechanical hyperalgesia in the hind paw model. To determine the cellular signaling cascade contributing to the antinociceptive effect, we performed an in-depth analysis of immune cell populations via single-cell RNA-seq. We demonstrated an increase in M1-like macrophages and N1-like neutrophils after STINGel treatment. The identified regulatory pathways controlled immune response activation, myeloid cell differentiation, and cytoplasmic translation. Functional pathway analysis demonstrated the suppression of translation at neuron synapses and the negative regulation of neuron projection development in M2-like macrophages after STINGel treatment. Importantly, STINGel treatment upregulated TGF-β pathway signaling between various cell populations and peripheral nervous system (PNS) macrophages and enhanced TGF-β signaling within the PNS itself. Overall, this study sheds light on the mechanisms underlying STINGel-mediated antinociception and anti-tumorigenic impact. Full article
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<p>STINGel treatment mitigated the pain in mouse oral squamous cell cancer models. Effects of STINGel (blue line) in comparison to vehicle (black line) on (<b>A</b>) facial mechanical nociception (maxillary vestibule model), (<b>B</b>) thermal nociception (paw hind model), and (<b>C</b>) paw withdrawal (paw hind model). The arrow indicates the time of STINGel or MDP (vehicle) injection. The dots show the mean values; the error bars indicate the standard error of the mean. <span class="html-italic">n</span> = 7–8 per group. Two-way ANOVA and Tukey’s multiple comparisons were used, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Single-cell RNA sequencing analysis of STINGel treatment and vehicle in a mouse oral squamous cell cancer model. (<b>A</b>) Uniform manifold approximation and projection (UMAP) plot with clusters denoted by colors and labeled according to canonical markers. (<b>B</b>) UMAP plot with SingleR annotations indicated for individual cells. (<b>C</b>) Heatmap of SingleR scores for the top correlates cell types; each cell is a column, while each row is a label in the reference of the ImmuGen dataset, and the final label for each cell is shown in the top bar.</p>
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<p>STINGel treatment changed the population of monocytes, macrophages, and neutrophils in the mouse oral squamous cell cancer model. (<b>A</b>) Dot plot of average expression of the canonical markers of each cell type. The relative gene expression in percent is represented by the size of dots. The average expression level is indicated by the color. (<b>B</b>) Uniform manifold approximation and projection (UMAP) plot with 11 cell types denoted by color and labeled according to canonical markers. (<b>C</b>) The bar plot represents the number of each cell type in the condition of STNGel treatment (blue) or vehicle (red).</p>
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<p>Enrichment analysis of Gene Ontology (GO) in M1-like macrophages and monocytes. Differentially expressed genes based on the treatment of (<b>A</b>) M1-like macrophages and (<b>B</b>) monocytes underwent the gene concept network of over-representation analysis of GO biological process pathways.</p>
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<p>Enrichment analysis of Gene Ontology (GO) in M2-like macrophages. Dot plot of gene set enrichment GO biological process pathways in M2-like macrophages reveals that STINGel treatment is associated with the regulation of neuron projection development and regeneration (arrow).</p>
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<p>The difference in cell-cell interaction between STINGel treatment and vehicle. (<b>A</b>) Scatter plot of the outgoing and incoming interaction strength of cell clusters in the mouse oral squamous cell carcinoma model with and without STINGel treatment. (<b>B</b>) Scatter plots of specific signaling changes of M1-like macrophages (upper left panel), N1-like neutrophils (upper middle panel), M2-like macrophages (upper right panel), and PNS macrophages (lower left panel) between STINGel treatment and vehicle. (<b>C</b>) Circle plot of the significant ligand-receptor pairs for TGF-β between each cell type in STINGel treatment. Edge colors are consistent with the sources as the sender, and edge weights are proportional to the interaction strength. A thicker edge line indicates a stronger signal.</p>
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16 pages, 6155 KiB  
Article
Artificial Extracellular Vesicles Generated from T Cells Using Different Induction Techniques
by Ekaterina A. Zmievskaya, Sabir A. Mukhametshin, Irina A. Ganeeva, Elvina M. Gilyazova, Elvira T. Siraeva, Marianna P. Kutyreva, Artur A. Khannanov, Youyong Yuan and Emil R. Bulatov
Biomedicines 2024, 12(4), 919; https://doi.org/10.3390/biomedicines12040919 - 20 Apr 2024
Cited by 4 | Viewed by 2076
Abstract
Cell therapy is at the forefront of biomedicine in oncology and regenerative medicine. However, there are still significant challenges to their wider clinical application such as limited efficacy, side effects, and logistical difficulties. One of the potential approaches that could overcome these problems [...] Read more.
Cell therapy is at the forefront of biomedicine in oncology and regenerative medicine. However, there are still significant challenges to their wider clinical application such as limited efficacy, side effects, and logistical difficulties. One of the potential approaches that could overcome these problems is based on extracellular vesicles (EVs) as a cell-free therapy modality. One of the major obstacles in the translation of EVs into practice is their low yield of production, which is insufficient to achieve therapeutic amounts. Here, we evaluated two primary approaches of artificial vesicle induction in primary T cells and the SupT1 cell line—cytochalasin B as a chemical inducer and ultrasonication as a physical inducer. We found that both methods are capable of producing artificial vesicles, but cytochalasin B induction leads to vesicle yield compared to natural secretion, while ultrasonication leads to a three-fold increase in particle yield. Cytochalasin B induces the formation of vesicles full of cytoplasmic compartments without nuclear fraction, while ultrasonication induces the formation of particles rich in membranes and membrane-related components such as CD3 or HLAII proteins. The most effective approach for T-cell induction in terms of the number of vesicles seems to be the combination of anti-CD3/CD28 antibody activation with ultrasonication, which leads to a seven-fold yield increase in particles with a high content of functionally important proteins (CD3, granzyme B, and HLA II). Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>The scheme of the experiment includes the induction of artificial vesicles from primary T lymphocytes and SupT1 cell line with two methods under investigation and further comprehensive study of obtained vesicles.</p>
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<p>Scheme of experiments with primary T cells. Two types of cell sources were used—resting and activated T cells. Additionally, two types of induction were tested—chemical induction with cytochalasin B and physical induction with ultrasonication. Naturally secreted vesicles were used as a control.</p>
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<p>Size distribution measured by nanoparticle tracking analysis of vesicle samples generated from T cells: (<b>A</b>) MVs (naturally secreted from resting T cells); (<b>B</b>) AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); (<b>C</b>) AVs US (artificial vesicles generated with ultrasonication from resting T cells); (<b>D</b>) aMVs (MVs secreted by activated T cells); (<b>E</b>) AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); (<b>F</b>) AVs aUS (artificial vesicles generated with ultrasonication from activated T cells).</p>
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<p>Comparison of yields and sizes of microvesicles generated using different induction techniques: (<b>A</b>) calculated microvesicle yields (number) per donor primary T cell (calculation is based on concentration measured by nanoparticle tracking analysis); (<b>B</b>) mean and mode microvesicle sizes measured by nanoparticle tracking analysis. MVs (naturally secreted from resting T cells); AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); AVs US (artificial vesicles generated with ultrasonication from resting T cells); aMVs (MVs secreted by activated T cells); AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); AVs aUS (artificial vesicles generated with ultrasonication from activated T cells). All samples were analyzed in five repetitions.</p>
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<p>Images of microvesicle samples obtained by atomic force microscopy: (<b>A</b>) MVs (naturally secreted from resting T cells); (<b>B</b>) AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); (<b>C</b>) AVs US (artificial vesicles generated with ultrasonication from resting T cells); (<b>D</b>) aMVs (MVs secreted by activated T cells); (<b>E</b>) AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); (<b>F</b>) AVs aUS (artificial vesicles generated with ultrasonication from activated T cells).</p>
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<p>Adhesion and deformation properties of various microvesicles obtained by atomic force microscopy: (<b>A</b>) relative adhesion of microvesicles; (<b>B</b>) relative deformation of microvesicles, <span class="html-italic">n</span> = 85–220 depending on the sample. MVs (naturally secreted from resting T cells); AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); AVs US (artificial vesicles generated with ultrasonication from resting T cells); aMVs (MVs secreted by activated T cells); AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); AVs aUS (artificial vesicles generated with ultrasonication from activated T cells). <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cytoplasmic compartments to AVs measured by fluorometric assay. ChB 10, ChB 5, and ChB 2.5 refer to AV samples obtained by cytochalasin B induction of cell suspensions diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. US 10, US 5, US 2.5 refer to AV samples obtained by ultrasonication induction of cell suspensions diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. All other samples were prepared from 5 × 10<sup>6</sup> cells/mL SupT1 suspension. Unst—vesicles obtained from unstained cells; DPBS—clear DPBS; DiI or Calcein—DPBS with dye at concentration used for staining: (<b>A</b>) fluorescence of DiI in samples obtained from different cell dilutions; (<b>B</b>) fluorescence of Calcein in samples obtained from different cell dilutions; (<b>C</b>) Calcein fluorescence normalized to lipid level; (<b>D</b>) lipid level normalized to total protein concentration; (<b>E</b>) Calcein fluorescence normalized to total protein concentration; (<b>F</b>) protein concentration in native samples obtained from different cell dilutions. All samples were analyzed in triplets. <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cytoplasmic fluorescent protein Katushka2S and nuclei to AVs measured by fluorometric assay: (<b>A</b>–<b>C</b>) Fluorometric data of Katushka2S transfer into AVs; ChB 10, ChB 5, and ChB 2.5 refer to AV samples induced with cytochalasin B from cell suspension diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. US 10, US 5, and US 2.5 refer to AV samples induced with ultrasonication from cell suspension diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. All other samples were obtained from SupT1 cells at 5 × 10<sup>6</sup> cells/mL. (<b>D</b>–<b>F</b>) Fluorometric data of AVs, stained by Hoechst33258 for detection of double-strand DNA. DPBS—clear DPBS; ChB unst, US unst—samples of vesicles, obtained from non-fluorescent or unstained cells; Hoechst—DPBS with dye at concentration used for staining. All samples were analyzed in triplets. <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cell compartment into AVs measured by immunoblotting analysis: (<b>A</b>) immunoblotting analysis of calnexin (endoplasmic reticulum marker); (<b>B</b>) immunoblotting analysis of Hsp70 (cytosolic marker); (<b>C</b>) immunoblotting analysis of lamin B1 (nuclear marker). Data include immunoblotting images, calculated levels of the normalized target protein, and β-actin.</p>
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<p>Functionally important proteins (CD3, granzyme B, and HLA II) presented in different types of AVs, obtained from resting T cells (MVs, AVs ChB, and AVs US) or activated T cells (aMVs, AVs aChB, and AVs aUS): (<b>A</b>) immunoblotting analysis of CD3; (<b>B</b>) immunoblotting analysis of granzyme B; (<b>C</b>) immunoblotting analysis of HLA II. Data include immunoblotting images, calculated levels of the normalized target protein, and β-actin.</p>
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<p>Formation of artificial vesicles from T cells using physical induction by ultrasonication and chemical induction by cytochalasin B. Ultrasonication causes disruption of the cell membrane with partial leakage of cell contents, while membrane proteins are transferred to vesicles. Cytochalasin B induces vesiculation from the cell surface with effective intracellular transfer of cytoplasmic contents. In both cases, functional components such as granzyme B are transferred to the resulting vesicles.</p>
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15 pages, 2199 KiB  
Review
The Role of Cdo1 in Ferroptosis and Apoptosis in Cancer
by Xiaoyi Chen and Ansgar Poetsch
Biomedicines 2024, 12(4), 918; https://doi.org/10.3390/biomedicines12040918 - 20 Apr 2024
Cited by 3 | Viewed by 2274
Abstract
Cysteine dioxygenase type 1 (Cdo1) is a tumor suppressor gene. It regulates the metabolism of cysteine, thereby influencing the cellular antioxidative capacity. This function puts Cdo1 in a prominent position to promote ferroptosis and apoptosis. Cdo1 promotes ferroptosis mainly by decreasing [...] Read more.
Cysteine dioxygenase type 1 (Cdo1) is a tumor suppressor gene. It regulates the metabolism of cysteine, thereby influencing the cellular antioxidative capacity. This function puts Cdo1 in a prominent position to promote ferroptosis and apoptosis. Cdo1 promotes ferroptosis mainly by decreasing the amounts of antioxidants, leading to autoperoxidation of the cell membrane through Fenton reaction. Cdo1 promotes apoptosis mainly through the product of cysteine metabolism, taurine, and low level of antioxidants. Many cancers exhibit altered function of Cdo1, underscoring its crucial role in cancer cell survival. Genetic and epigenetic alterations have been found, with methylation of Cdo1 promoter as the most common mutation. The fact that no cancer was found to be caused by altered Cdo1 function alone indicates that the tumor suppressor role of Cdo1 is mild. By compiling the current knowledge about apoptosis, ferroptosis, and the role of Cdo1, this review suggests possibilities for how the mild anticancer role of Cdo1 could be harnessed in new cancer therapies. Here, developing drugs targeting Cdo1 is considered meaningful in neoadjuvant therapies, for example, helping against the development of anti-cancer drug resistance in tumor cells. Full article
(This article belongs to the Section Cancer Biology and Oncology)
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<p>Known pathways protecting cells from ferroptosis. The 3 known pathways involve GPX4 (①), FSP1 (②), and BH4 generated from GCH1 (③), respectively. The 3 pathways have the same effect: protecting the cells from further lipid peroxidation by reducing PLOOH levels. Iron [II/III] reacts with PLOOH via the Fenton reaction to produce free radicals, which can induce the peroxidation of polyunsaturated fatty acids (PUFAs), promoting the loss of membrane integrity and cell death. (GSH: glutathione, GSSG: oxidized glutathione, GPX4: glutathione peroxidase 4, PLOOH: phospholipid hydroperoxide, PLOH: the corresponding alcohol of PLOOH, FSP1: ferroptosis suppressing protein 1, GCH1: GTP cyclohydrolase-1, BH4: tetrahydrobiopterin).</p>
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<p>Function of <span class="html-italic">Cdo1</span> in ferroptosis and targets of Erastin and RSL3 for inducing ferroptosis. Erastin inhibits the cystine/glutamate antiporter by binding to the subunit SLC755A, leading to cysteine deprivation by suppressing cystine uptake and triggering ferroptosis. Similarly, p53 inhibits the synthesis of SLC755A, the subunit of the cystine-glutamate antiporter, suppressing the uptake of cysteine. RSL3 directly binds to GPX4, inhibiting its function. Calcium ions inhibit GPX4 function, too. C-Myb is supposed to regulate <span class="html-italic">Cdo1</span> expression in ferroptosis by an unknown mechanism. Enzymatic conversion by <span class="html-italic">Cdo1</span> lowers the cysteine concentration, thereby depleting the pool available for the formation of GSH. Consequently, the autoperoxidation of lipids by the Fenton reaction and PLOOH cannot be inhibited, leading to ferroptosis. (GPX4: glutathione peroxidase 4, PLOOH: phospholipid hydroperoxide, PLOH: the corresponding alcohol of PLOOH, <span class="html-italic">Cdo1</span>: cysteine dioxygenase type 1, GSR: glutathione-disulfide reductase, GSSG: oxidized glutathione, GSH: glutathione, NADPH: triphosphopyridine nucleotide, c-Myb: c-Myb proto-oncogene transcription factor, RSL3: Ras-selective lethal 3).</p>
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<p>Percentage of <span class="html-italic">Cdo1</span> mutations and structural variants in cancers. Overview of cancer types that contain <span class="html-italic">Cdo1</span> mutations and structural variants. Copy number alterations means the change in the number of copies of a particular region of DNA in the genome, involving either a gain or a loss of copies of a specific DNA segment. <span class="html-italic">Cdo1</span> mutations appear in nearly every kind of cancer; the figure displays only cancers with a relatively high percentage of <span class="html-italic">Cdo1</span> genetic variation. Source: CBioportal (2024). Cancers with <span class="html-italic">Cdo1</span> mutation [Pancancer database] (<a href="https://www.cbioportal.org/" target="_blank">https://www.cbioportal.org/</a>).</p>
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<p>Positions of genetic alterations on <span class="html-italic">Cdo1</span>. This lollipop figure shows the mutated amino acid positions on the <span class="html-italic">Cdo1</span> protein and the frequency of observation in patients. Source: CBioportal (2024). Types of <span class="html-italic">Cdo1</span> mutations in cancers [Pancancer database] (<a href="https://www.cbioportal.org/" target="_blank">https://www.cbioportal.org/</a>).</p>
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<p>Theories explaining the methylation of the <span class="html-italic">Cdo1</span> promoter in cancer. (<b>a</b>) When DNA damage occurs to a tumor suppressor gene, the methylation of the promoter occurs to inhibit the expression of the damaged gene while repairing. When the damaged gene is an anticancer gene, this inhibition can be related to carcinogenesis. In this case, by an unknown mechanism, the methylation of this promoter is not re-exposed in cancer cells for removal. (<b>b</b>) Alternative mechanism for <span class="html-italic">Cdo1</span> methylation in cancer cells. Cancer cells contain low levels of 5hmC, an element that inhibits the binding of TET and DNMT to the adjacent shore of the unmethylated CpG island. The binding is guided by H3K4me1. In normal cells, the binding of DNMT and TET is largely inhibited by the methylated DNA and 5hmC. Therefore, the unmethylated CpG island is maintained. However, in cancer cells, the 5hmC level is low, H3K4me1 appears at the border directing the binding of DNMT, and TET activity is lost. Only DNMT works on the shore of the island, and the shore is methylated, shortening the island. With a larger portion of the promoter methylated, the expression of <span class="html-italic">Cdo1</span> is downregulated.</p>
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<p><span class="html-italic">Cdo1</span> partakes in pathways of ferroptosis and apoptosis. <span class="html-italic">Cdo1</span> is involved in converting cysteine to taurine, thereby decreasing the cysteine pool for the production of GSH. GSH is a required cofactor of GPX4 that prevents lipid peroxidation. The reduced function of GPX4 allows lipid peroxidation on the cell membrane, ultimately leading to cell death. Upregulated taurine can increase the level of p53, a vital tumor suppressor. Additionally, p53 can induce cell cycle arrest. Lipid peroxidation increases the likelihood of apoptosis and ferroptosis. p53 contributes to ferroptosis by inhibiting the production of the SLC755A, a subunit in the cystine-glutamate antiporter that uptakes cystine.</p>
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13 pages, 813 KiB  
Article
Associations between the VDR Gene rs731236 (TaqI) Polymorphism and Bone Mineral Density in Postmenopausal Women from the RAC-OST-POL
by Sylwia Górczyńska-Kosiorz, Elżbieta Tabor, Paweł Niemiec, Wojciech Pluskiewicz and Janusz Gumprecht
Biomedicines 2024, 12(4), 917; https://doi.org/10.3390/biomedicines12040917 - 20 Apr 2024
Cited by 4 | Viewed by 1914
Abstract
Background: Postmenopausal osteoporosis is not only related to hormonal factors but is also associated with environmental and genetic factors. One of the latter is the polymorphism of vitamin D receptor (VDR). The aim of the reported study was to comprehensively analyze [...] Read more.
Background: Postmenopausal osteoporosis is not only related to hormonal factors but is also associated with environmental and genetic factors. One of the latter is the polymorphism of vitamin D receptor (VDR). The aim of the reported study was to comprehensively analyze the VDR gene polymorphic variants rs731236 (TaqI), rs1544410 (BsmI) and rs7975232 (ApaI) in the Polish population of postmenopausal women. Methods: The study group consisted of 611 women after menopause (their median age was 65.82 ± 6.29 years). Each of them underwent bone densitometry (DXA) of the non-dominant femoral neck and total hip with a biochemical analysis of vitamin D3 serum concentration and genotyping of the above-mentioned single nucleotide polymorphisms (SNPs); the obtained results were analyzed in the aspect of waist circumference (WC), body mass index (BMI) and past medical history. Results: The genotype prevalence rates of all SNPs were compatible with Hardy–Weinberg equilibrium (p > 0.050). Out of the studied polymorphisms, only rs731236 genotype variants affected DXA, with AG heterozygotes showing the worst bone parameters. Neither patient age nor vitamin D3 concentration, BMI, WC or comorbidities was associated with rs731236 genotype. Conclusions: Out of the polymorphisms studied, only rs731236 genotypes differed among the DXA results, while the AG heterozygotes were characterized by the lowest median bone mineral density. Full article
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<p>The frequency (%) of individual ranges of T-scores for bone mineral density of the femoral neck (<b>A</b>) and total hip (<b>B</b>). Legend: BMD, bone mineral density.</p>
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<p>Median values of bone mineral density (<b>A</b>) and T-score values (<b>B</b>) for rs731236 (TaqI) polymorphism genotypes. Legend: BMD, bone mineral density; FN, femoral neck; TH, total hip; QD, quartile deviation.</p>
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19 pages, 14984 KiB  
Article
New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration
by Luigi Di Rosa, Antonino De Pasquale, Sara Baldassano, Noemi Marguglio, Patrik Drid, Patrizia Proia and Sonya Vasto
Biomedicines 2024, 12(4), 916; https://doi.org/10.3390/biomedicines12040916 - 20 Apr 2024
Cited by 3 | Viewed by 2890
Abstract
This study explores the efficacy of a novel polycomponent formulation (KARISMA Rh Collagen® FACE, Taumedika Srl, Rome, Italy), containing 200 mg/mL of non-crosslinked high-molecular-weight hyaluronic acid (HMW-HA), 200 μg/mL of a human recombinant polypeptide of collagen-1 alpha chain, and 40 mg/mL of [...] Read more.
This study explores the efficacy of a novel polycomponent formulation (KARISMA Rh Collagen® FACE, Taumedika Srl, Rome, Italy), containing 200 mg/mL of non-crosslinked high-molecular-weight hyaluronic acid (HMW-HA), 200 μg/mL of a human recombinant polypeptide of collagen-1 alpha chain, and 40 mg/mL of carboxymethyl cellulose (CMC) as a regenerative medicine for skin regeneration and rejuvenation. This formulation combines non-crosslinked high-molecular-weight hyaluronic acid, human recombinant polypeptide of collagen-1 alpha chain, and carboxymethyl cellulose to stimulate collagen type I production and enhance skin hydration. This study involved 100 subjects with varying skin conditions, divided into three groups based on skin aging, smoking history, and facial scarring, to evaluate the product’s effectiveness in skin regeneration and aesthetic improvement. The methodology included two injections of Karisma (2 mL for each injection) one month apart, with evaluations conducted using FACE-Q questionnaires, the SGAIS Questionnaire, and Antera 3D skin scanner measurements at baseline, 30 days, and 60 days post-treatment. The results demonstrated a significant reduction in skin roughness and an improvement in skin quality across all the groups, with no correlation between the outcomes and the patient’s age. The subjective assessments also indicated high satisfaction with the treatment’s aesthetic results. The analyzed data allow us to conclude that the single-stranded collagen with hyaluronic acid and carboxymethyl-cellulose formulation is able to stimulate the skin’s regenerative response, yielding significant results both in vitro and, through our study, also in vivo. This new polycomponent formulation effectively stimulates skin regeneration, improving skin quality and texture, with significant aesthetic benefits perceived by patients, and a low incidence of adverse events, marking a promising advancement in regenerative medicine. Full article
(This article belongs to the Section Molecular and Translational Medicine)
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<p>Box plot graphs for “normal group” (non-smoker patients) showing the values of skin wrinkle depth using 1 mm filter in the three anatomical areas examined (cheek—eye—neck) and how they change over time from baseline (T0) to last follow-up (T2).</p>
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<p>Box plot graphs for “smoker group” (smoker patients) showing the values of skin wrinkle depth using 1 mm filter in the three anatomical areas examined (cheek—eye—neck) and how they change over time from baseline (T0) to last follow-up (T2).</p>
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<p>Box plot graphs for “acne group” (patients with acne scars) showing the values of skin examined in cheek area only, where scars were much more evident, using 1 mm filter, and how they changed over time from baseline (T0) to last follow-up (T2).</p>
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<p>Example of automatic Antera 3D matching algorithm for finding the exact position during different measurements. Picture taken from cheek area (cheek). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p>
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<p>Picture taken from periocular area (eye). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p>
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<p>Picture taken from neck area (neck). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p>
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<p>Picture taken from cheek area in a patient with acne scars. A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p>
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30 pages, 3991 KiB  
Review
The Phenomenon of Antiretroviral Drug Resistance in the Context of Human Immunodeficiency Virus Treatment: Dynamic and Ever Evolving Subject Matter
by Miruna-Maria Apetroaei, Bruno Ștefan Velescu, Marina Ionela (Ilie) Nedea, Cristina Elena Dinu-Pîrvu, Doina Drăgănescu, Anca Ionela Fâcă, Denisa Ioana Udeanu and Andreea Letiția Arsene
Biomedicines 2024, 12(4), 915; https://doi.org/10.3390/biomedicines12040915 - 20 Apr 2024
Cited by 4 | Viewed by 2507
Abstract
Human immunodeficiency virus (HIV) is a significant global health issue that affects a substantial number of individuals across the globe, with a total of 39 million individuals living with HIV/AIDS. ART has resulted in a reduction in HIV-related mortality. Nevertheless, the issue of [...] Read more.
Human immunodeficiency virus (HIV) is a significant global health issue that affects a substantial number of individuals across the globe, with a total of 39 million individuals living with HIV/AIDS. ART has resulted in a reduction in HIV-related mortality. Nevertheless, the issue of medication resistance is a significant obstacle in the management of HIV/AIDS. The unique genetic composition of HIV enables it to undergo rapid mutations and adapt, leading to the emergence of drug-resistant forms. The development of drug resistance can be attributed to various circumstances, including noncompliance with treatment regimens, insufficient dosage, interactions between drugs, viral mutations, preexposure prophylactics, and transmission from mother to child. It is therefore essential to comprehend the molecular components of HIV and the mechanisms of antiretroviral medications to devise efficacious treatment options for HIV/AIDS. Full article
(This article belongs to the Special Issue Emerging Insights into HIV)
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<p>HIV-1 structure (created with <a href="http://Biorender.com" target="_blank">Biorender.com</a>).</p>
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<p>HIV genome (adapted from [<a href="#B19-biomedicines-12-00915" class="html-bibr">19</a>]) (created with <a href="http://Biorender.com" target="_blank">Biorender.com</a>).</p>
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<p>Drug classes used to treat HIV infection. Legend: NRTI—nucleoside reverse transcriptase inhibitors; NNRTI—non-nucleoside reverse transcriptase inhibitors; INSTI—integrase strand transfer inhibitors; PI—protease inhibitors.</p>
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<p>Global demographic distribution of patients with access to antiretroviral therapy in 2023 (data from [<a href="#B105-biomedicines-12-00915" class="html-bibr">105</a>]).</p>
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<p>WHO reports on antiretroviral medication resistance (Adapted from [<a href="#B106-biomedicines-12-00915" class="html-bibr">106</a>]).</p>
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<p>WHO recommendations for limiting antiretroviral resistance (Adapted from [<a href="#B106-biomedicines-12-00915" class="html-bibr">106</a>]).</p>
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<p>Causes leading to antiretroviral resistance (created with <a href="http://Biorender.com" target="_blank">Biorender.com</a>).</p>
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<p>Drug classes and resistance mutations (created with <a href="http://Biorender.com" target="_blank">Biorender.com</a>).</p>
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11 pages, 258 KiB  
Article
Global DNA Methylation Level in Tumour and Margin Samples in Relation to Human Papilloma Virus and Epstein–Barr Virus in Patients with Oropharyngeal and Oral Squamous Cell Carcinomas
by Jadwiga Gaździcka, Krzysztof Biernacki, Karolina Gołąbek, Katarzyna Miśkiewicz-Orczyk, Natalia Zięba, Maciej Misiołek and Joanna Katarzyna Strzelczyk
Biomedicines 2024, 12(4), 914; https://doi.org/10.3390/biomedicines12040914 - 20 Apr 2024
Cited by 1 | Viewed by 1498
Abstract
Background: Aberrant DNA methylation is a common epigenetic modification in cancers, including oropharyngeal squamous cell carcinoma (OPSCC) and oral squamous cell carcinoma (OSCC). Therefore, the analysis of methylation levels appears necessary to improve cancer therapy and prognosis. Methods: The enzyme-linked immunosorbent assay (ELISA) [...] Read more.
Background: Aberrant DNA methylation is a common epigenetic modification in cancers, including oropharyngeal squamous cell carcinoma (OPSCC) and oral squamous cell carcinoma (OSCC). Therefore, the analysis of methylation levels appears necessary to improve cancer therapy and prognosis. Methods: The enzyme-linked immunosorbent assay (ELISA) was used to analyse global DNA methylation levels in OPSCC and OSCC tumours and the margin samples after DNA isolation. HPV detection was conducted by hybridisation using GenoFlow HPV Array Test Kits (DiagCor Bioscience Inc., Hong Kong, China). EBV detection was performed using real-time PCR with an EBV PCR Kit (EBV/ISEX/100, GeneProof, Brno, Czech Republic). Results: OPSCC tumour samples obtained from women showed lower global DNA methylation levels than those from men (1.3% vs. 3.5%, p = 0.049). The margin samples from OPSCC patients with HPV and EBV coinfection showed global DNA methylation lower than those without coinfection (p = 0.042). G3 tumours from OSCC patients had significantly lower levels of global DNA methylation than G2 tumours (0.98% ± 0.74% vs. 3.77% ± 4.97%, p = 0.010). Additionally, tumours from HPV-positive OSCC patients had significantly lower global DNA methylation levels than those from HPV-negative patients (p = 0.013). In the margin samples, we observed a significant negative correlation between global DNA methylation and the N stage of OSCC patients (rS = −0.33, p = 0.039). HPV-positive OPSCC patients had higher global DNA methylation levels than HPV-positive OSCC patients (p = 0.015). Conclusion: We confirmed that methylation could be changed in relation to viral factors, such as HPV and EBV, as well as clinical and demographical parameters. Full article
(This article belongs to the Special Issue Head and Neck Tumors, 3rd Edition)
21 pages, 1033 KiB  
Review
The Aftermath of COVID-19: Exploring the Long-Term Effects on Organ Systems
by Maryam Golzardi, Altijana Hromić-Jahjefendić, Jasmin Šutković, Orkun Aydin, Pinar Ünal-Aydın, Tea Bećirević, Elrashdy M. Redwan, Alberto Rubio-Casillas and Vladimir N. Uversky
Biomedicines 2024, 12(4), 913; https://doi.org/10.3390/biomedicines12040913 - 20 Apr 2024
Cited by 7 | Viewed by 5134
Abstract
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) is a complicated disease that affects millions of people all over the world. Previous studies have shown that PASC impacts 10% of SARS-CoV-2 infected patients of which 50–70% are hospitalised. It has also been shown that [...] Read more.
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) is a complicated disease that affects millions of people all over the world. Previous studies have shown that PASC impacts 10% of SARS-CoV-2 infected patients of which 50–70% are hospitalised. It has also been shown that 10–12% of those vaccinated against COVID-19 were affected by PASC and its complications. The severity and the later development of PASC symptoms are positively associated with the early intensity of the infection. Results: The generated health complications caused by PASC involve a vast variety of organ systems. Patients affected by PASC have been diagnosed with neuropsychiatric and neurological symptoms. The cardiovascular system also has been involved and several diseases such as myocarditis, pericarditis, and coronary artery diseases were reported. Chronic hematological problems such as thrombotic endothelialitis and hypercoagulability were described as conditions that could increase the risk of clotting disorders and coagulopathy in PASC patients. Chest pain, breathlessness, and cough in PASC patients were associated with the respiratory system in long-COVID causing respiratory distress syndrome. The observed immune complications were notable, involving several diseases. The renal system also was impacted, which resulted in raising the risk of diseases such as thrombotic issues, fibrosis, and sepsis. Endocrine gland malfunction can lead to diabetes, thyroiditis, and male infertility. Symptoms such as diarrhea, nausea, loss of appetite, and taste were also among reported observations due to several gastrointestinal disorders. Skin abnormalities might be an indication of infection and long-term implications such as persistent cutaneous complaints linked to PASC. Conclusions: Long-COVID is a multidimensional syndrome with considerable public health implications, affecting several physiological systems and demanding thorough medical therapy, and more study to address its underlying causes and long-term effects is needed. Full article
(This article belongs to the Section Microbiology in Human Health and Disease)
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<p>Graphical representation of organ systems affected by long-COVID. The figure was created with BioRender.</p>
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13 pages, 821 KiB  
Review
Casimersen (AMONDYS 45™): An Antisense Oligonucleotide for Duchenne Muscular Dystrophy
by Milyard Assefa, Addison Gepfert, Meesam Zaheer, Julia M. Hum and Brian W. Skinner
Biomedicines 2024, 12(4), 912; https://doi.org/10.3390/biomedicines12040912 - 20 Apr 2024
Cited by 6 | Viewed by 3190
Abstract
Casimersen (AMONDYS 45TM) is an antisense oligonucleotide of the phosphorodiamidate morpholino oligomer subclass developed by Sarepta therapeutics. It was approved by the Food and Drug Administration (FDA) in February 2021 to treat Duchenne muscular dystrophy (DMD) in patients whose DMD gene [...] Read more.
Casimersen (AMONDYS 45TM) is an antisense oligonucleotide of the phosphorodiamidate morpholino oligomer subclass developed by Sarepta therapeutics. It was approved by the Food and Drug Administration (FDA) in February 2021 to treat Duchenne muscular dystrophy (DMD) in patients whose DMD gene mutation is amenable to exon 45 skipping. Administered intravenously, casimersen binds to the pre-mRNA of the DMD gene to skip a mutated region of an exon, thereby producing an internally truncated yet functional dystrophin protein in DMD patients. This is essential in maintaining the structure of a myocyte membrane. While casimersen is currently continuing in phase III of clinical trials in various countries, it was granted approval by the FDA under the accelerated approval program due to its observed increase in dystrophin production. This article discusses the pathophysiology of DMD, summarizes available treatments thus far, and provides a full drug review of casimersen (AMONDYS 45TM). Full article
(This article belongs to the Special Issue Musculoskeletal Diseases: From Molecular Basis to Therapy (Volume II))
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<p>(<b>a</b>) The structure of the dystrophin gene is shown with all 79 exons and corresponding domains: N terminus (Actin binding), central rod domain, cysteine-rich domain, and C-terminal domain. (<b>b</b>) Antisense-induced exon skipping in DMD patients. Deletion of exons 49 and 50 resulted in premature stop codon and disrupted the production of dystrophin. Exon skipping of 51 in this case produced a truncated and partly functional dystrophin protein. (<b>c</b>) Structure of casimersen.</p>
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26 pages, 1349 KiB  
Review
Role of Nutrients in Pediatric Non-Dialysis Chronic Kidney Disease: From Pathogenesis to Correct Supplementation
by Flavia Padoan, Matteo Guarnaroli, Milena Brugnara, Giorgio Piacentini, Angelo Pietrobelli and Luca Pecoraro
Biomedicines 2024, 12(4), 911; https://doi.org/10.3390/biomedicines12040911 - 19 Apr 2024
Cited by 3 | Viewed by 2546
Abstract
Nutrition management is fundamental for children with chronic kidney disease (CKD). Fluid balance and low-protein and low-sodium diets are the more stressed fields from a nutritional point of view. At the same time, the role of micronutrients is often underestimated. Starting from the [...] Read more.
Nutrition management is fundamental for children with chronic kidney disease (CKD). Fluid balance and low-protein and low-sodium diets are the more stressed fields from a nutritional point of view. At the same time, the role of micronutrients is often underestimated. Starting from the causes that could lead to potential micronutrient deficiencies in these patients, this review considers all micronutrients that could be administered in CKD to improve the prognosis of this disease. Full article
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<p>Dietary sources, physiological roles and dietary reference intakes (DRIs) of sodium, potassium and magnesium [<a href="#B37-biomedicines-12-00911" class="html-bibr">37</a>,<a href="#B74-biomedicines-12-00911" class="html-bibr">74</a>].</p>
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<p>Dietary sources, physiological roles and dietary reference intakes (DRIs) of calcium, phosphate and vitamin D [<a href="#B74-biomedicines-12-00911" class="html-bibr">74</a>].</p>
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<p>Dietary sources, physiological roles and dietary reference intakes (DRIs) of iron, selenium and zinc [<a href="#B139-biomedicines-12-00911" class="html-bibr">139</a>,<a href="#B140-biomedicines-12-00911" class="html-bibr">140</a>,<a href="#B158-biomedicines-12-00911" class="html-bibr">158</a>,<a href="#B231-biomedicines-12-00911" class="html-bibr">231</a>].</p>
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<p>Dietary sources, physiological roles and dietary reference intakes (DRIs) of copper, manganese and iodine [<a href="#B139-biomedicines-12-00911" class="html-bibr">139</a>,<a href="#B140-biomedicines-12-00911" class="html-bibr">140</a>,<a href="#B202-biomedicines-12-00911" class="html-bibr">202</a>,<a href="#B203-biomedicines-12-00911" class="html-bibr">203</a>].</p>
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13 pages, 1594 KiB  
Article
The Effects of Volatile Anesthetics on Renal Sympathetic and Phrenic Nerve Activity during Acute Intermittent Hypoxia in Rats
by Josip Krnić, Katarina Madirazza, Renata Pecotić, Benjamin Benzon, Mladen Carev and Zoran Đogaš
Biomedicines 2024, 12(4), 910; https://doi.org/10.3390/biomedicines12040910 - 19 Apr 2024
Viewed by 1652
Abstract
Coordinated activation of sympathetic and respiratory nervous systems is crucial in responses to noxious stimuli such as intermittent hypoxia. Acute intermittent hypoxia (AIH) is a valuable model for studying obstructive sleep apnea (OSA) pathophysiology, and stimulation of breathing during AIH is known to [...] Read more.
Coordinated activation of sympathetic and respiratory nervous systems is crucial in responses to noxious stimuli such as intermittent hypoxia. Acute intermittent hypoxia (AIH) is a valuable model for studying obstructive sleep apnea (OSA) pathophysiology, and stimulation of breathing during AIH is known to elicit long-term changes in respiratory and sympathetic functions. The aim of this study was to record the renal sympathetic nerve activity (RSNA) and phrenic nerve activity (PNA) during the AIH protocol in rats exposed to monoanesthesia with sevoflurane or isoflurane. Adult male Sprague-Dawley rats (n = 24; weight: 280–360 g) were selected and randomly divided into three groups: two experimental groups (sevoflurane group, n = 6; isoflurane group, n = 6) and a control group (urethane group, n = 12). The AIH protocol was identical in all studied groups and consisted in delivering five 3 min-long hypoxic episodes (fraction of inspired oxygen, FiO2 = 0.09), separated by 3 min recovery intervals at FiO2 = 0.5. Volatile anesthetics, isoflurane and sevoflurane, blunted the RSNA response to AIH in comparison to urethane anesthesia. Additionally, the PNA response to acute intermittent hypoxia was preserved, indicating that the respiratory system might be more robust than the sympathetic system response during exposure to acute intermittent hypoxia. Full article
(This article belongs to the Section Drug Discovery, Development and Delivery)
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<p>Outline of the experimental preparation and protocol in urethane (<span class="html-italic">n</span> = 12), isoflurane (<span class="html-italic">n</span> = 6) and sevoflurane (<span class="html-italic">n</span> = 6) groups. The acute intermittent hypoxia (AIH) protocol consisted in delivering five 3 min-long hypoxic episodes (fraction of inspired oxygen; FiO<sub>2</sub> = 0.09), separated by 3 min recovery intervals (FiO<sub>2</sub> = 0.5) at measured experimental time points (T0: baseline; TH1 to TH5: five hypoxic episodes; T15: 15 min following the AIH protocol). ABP: arterial blood pressure; ABS: acid–base status; Freq: ventilator frequency; MAC: minimum alveolar concentration; PNA: phrenic nerve activity; RSNA: renal sympathetic nerve activity; T<sub>i</sub>: inspiratory time.</p>
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<p>Compressed neurograms of the renal sympathetic nerve activity (RSNA) and phrenic nerve activity (PNA) at baseline (T0) during five hypoxic episodes (TH1 to TH5) and at 15 min following the acute intermittent hypoxia protocol (T15) in three studied groups: (<b>a</b>) urethane; (<b>b</b>) isoflurane; (<b>c</b>) sevoflurane. From top to bottom: arterial blood pressure (ABP) expressed in mmHg; integrated RSNA signal (IRSNA); raw RSNA signal; integrated PNA signal (IPNA) and raw PNA signal, all expressed in arbitrary units (a.u.). Scale bar represents 20 s.</p>
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<p>Fold changes in activities of (<b>a</b>) renal sympathetic nerve (RSNA) and (<b>b</b>) phrenic nerve (PNA) plotted as median and interquartile ranges at baseline (T0) during 5 hypoxic episodes (TH1 to TH5) and at 15 min following the acute intermittent hypoxia protocol (T15) in urethane, isoflurane and sevoflurane groups.</p>
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<p>Fold changes in activities of (<b>a</b>) renal sympathetic nerve (RSNA) and (<b>b</b>) phrenic nerve (PNA) plotted as median and interquartile ranges during the first hypoxic episode (TH1) in urethane, isoflurane and sevoflurane groups. Dashed line represents baseline activity.</p>
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<p>Changes from baseline in (<b>a</b>) renal sympathetic (RSNA) and (<b>b</b>) phrenic nerve activity (PNA) during 2nd to 5th episodes of hypoxia (TH2 to TH5) in urethane, isoflurane and sevoflurane groups. Data are expressed as changes in nerve activity per hypoxic episode and plotted as median and interquartile ranges.</p>
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24 pages, 7974 KiB  
Article
Exploring MiR-484 Regulation by Polyalthia longifolia: A Promising Biomarker and Therapeutic Target in Cervical Cancer through Integrated Bioinformatics and an In Vitro Analysis
by Jiaojiao Niu, Yeng Chen, Hwa Chia Chai and Sreenivasan Sasidharan
Biomedicines 2024, 12(4), 909; https://doi.org/10.3390/biomedicines12040909 - 19 Apr 2024
Viewed by 1847
Abstract
Background: MiR-484, implicated in various carcinomas, holds promise as a prognostic marker, yet its relevance to cervical cancer (CC) remains unclear. Our prior study demonstrated the Polyalthia longifolia downregulation of miR-484, inhibiting HeLa cells. This study investigates miR-484’s potential as a biomarker and [...] Read more.
Background: MiR-484, implicated in various carcinomas, holds promise as a prognostic marker, yet its relevance to cervical cancer (CC) remains unclear. Our prior study demonstrated the Polyalthia longifolia downregulation of miR-484, inhibiting HeLa cells. This study investigates miR-484’s potential as a biomarker and therapeutic target in CC through integrated bioinformatics and an in vitro analysis. Methods: MiR-484 levels were analyzed across cancers, including CC, from The Cancer Genome Atlas. The limma R package identified differentially expressed genes (DEGs) between high- and low-miR-484 CC cohorts. We assessed biological functions, tumor microenvironment (TME), immunotherapy, stemness, hypoxia, RNA methylation, and chemosensitivity differences. Prognostic genes relevant to miR-484 were identified through Cox regression and Kaplan–Meier analyses, and a prognostic model was captured via multivariate Cox regression. Single-cell RNA sequencing determined cell populations related to prognostic genes. qRT-PCR validated key genes, and the miR-484 effect on CC proliferation was assessed via an MTT assay. Results: MiR-484 was upregulated in most tumors, including CC, with DEGs enriched in skin development, PI3K signaling, and immune processes. High miR-484 expression correlated with specific immune cell infiltration, hypoxia, and drug sensitivity. Prognostic genes identified were predominantly epidermal and stratified patients with CC into risk groups, with the low-risk group showing enhanced survival and immunotherapeutic responses. qRT-PCR confirmed FGFR3 upregulation in CC cells, and an miR-484 mimic reversed the P. longifolia inhibitory effect on HeLa proliferation. Conclusion: MiR-484 plays a crucial role in the CC progression and prognosis, suggesting its potential as a biomarker for targeted therapy. Full article
(This article belongs to the Section Cancer Biology and Oncology)
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<p>The detailed flow chart of this study.</p>
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<p>The analysis of miR-484 expression in pan-cancers. miR-484 expression is significantly upregulated in UCEC (<span class="html-italic">n</span> = 583) (<b>A</b>), STAD (<span class="html-italic">n</span> = 407) (<b>C</b>), BLCA (<span class="html-italic">n</span> = 430) (<b>D</b>), ESCA (<span class="html-italic">n</span> = 173) (<b>G</b>), BRCA (<span class="html-italic">n</span> = 1217) (<b>H</b>), KIRC (<span class="html-italic">n</span> = 607) (<b>J</b>), HNSC (<span class="html-italic">n</span> = 546) (<b>K</b>), LUAD (<span class="html-italic">n</span> = 585) (<b>M</b>), LUSC (<span class="html-italic">n</span> = 550) (<b>Q</b>), PCPG (<span class="html-italic">n</span> = 186) (<b>R</b>), PRAD (<span class="html-italic">n</span> = 551) (<b>S</b>), and CESC (<span class="html-italic">n</span> = 308) (<b>T</b>), while it is downregulated in THCA (<span class="html-italic">n</span> = 568) (<b>B</b>), COAD (<span class="html-italic">n</span> = 512) (<b>F</b>), PAAD (<span class="html-italic">n</span> = 182) (<b>O</b>), and READ (<span class="html-italic">n</span> = 177) (<b>P</b>). Moreover, there was no significant difference in the expression level of miR-484 among CHOL (<b>E</b>) (<span class="html-italic">n</span> = 45), KICH (<b>I</b>) (<span class="html-italic">n</span> = 89), HNSC (<b>L</b>) (<span class="html-italic">n</span> = 546) and KIRP (<b>N</b>) (<span class="html-italic">n</span> = 321). The value of ‘<span class="html-italic">n</span>’ represents the number of samples in each cancer type and ‘e’ represents exponent; <span class="html-italic">p</span> &lt; 0.05 indicates statistical significance.</p>
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<p>The analysis of miR-484-related DEGs. (<b>A</b>) The volcano plot shows 4 upregulated and 69 downregulated genes between high-miR-484 and low-miR-484 groups. The red and blue dots represent upregulated genes and downregulated genes, respectively. (<b>B</b>) The heatmap displays the expression level of 73 DEGs in each sample of different subgroups, with rows representing samples and columns representing DEGs. Samples were classified into the high-miR-484 and low-miR-484 groups, represented by red and blue bars in the figure, respectively. (<b>C</b>) A bar plot of GO enrichment in biological process terms, cellular component terms, and molecular function terms, respectively. (<b>D</b>) The gene set enrichment analysis (GSEA) of the altered signaling pathways in the 142 CC tissues based on the miR-484-associated DEGs. (<b>E</b>) The mutation landscape of miR-484-associated DEGs in CC tissues.</p>
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<p>Analysis of immune landscape, tumor stemness, hypoxic landscape, and RNA modification in high- and low-miR-484 groups. (<b>A</b>) CIBERSORT algorithm showing differential infiltration levels of 22 immune cells between two subgroups. (<b>B</b>) Differential levels of ICPs between two subgroups in CC tissues. (<b>C</b>,<b>D</b>) Mutation landscape in high- and low-miR-484 groups of TCGA cohort. Differential levels of HLA family genes (<b>E</b>), tumor stemness genes (<b>F</b>), hypoxic scores (<b>G</b>), and RNA methylation regulators (<b>H</b>) between two subgroups in CC tissues (**** <span class="html-italic">p</span> &lt; 0.0001; *** <span class="html-italic">p</span> &lt; 0.001; ** <span class="html-italic">p</span> &lt; 0.01; * <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The box plots illustrate the IC<sub>50</sub> values of six therapeutic agents between high- and low-miR-484-expression groups. Camptothecin, NVP.BEZ235, Parthenolide, and Temsirolimus exhibited lower IC<sub>50</sub> values in the high-miR-484 group, while Shikonin and Vinorelbine exhibited lower IC<sub>50</sub> values in the low-miR-484 group. <span class="html-italic">p</span> &lt; 0.05 indicates statistical significance.</p>
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<p>Associations between miR-484-DEG expression and OS outcomes based on the Kaplan–Meier models. Patients were categorized into high- and low-expression cohorts based on the median expression level of miR-484 DEGs. Patients had better OS with elevated expressions of ADH7 (<b>A</b>), CALML3 (<b>B</b>), CALML5 (<b>C</b>), AYP4B1 (<b>D</b>), FGFR3 (<b>E</b>), PSCA (<b>F</b>), RAPGEFL1 (<b>G</b>), and SCNN1B (<b>H</b>).</p>
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<p>Construction and validation of miR-484-DEG-related prognostic models. (<b>A</b>) Among DEGs relevant to miR-484, three prognostic genes were screened by multivariate Cox analysis (stepAIC). (<b>B</b>) Kaplan–Meier survival curves showing OS outcomes according to relative high-risk and low-risk patients in TCGA-CESC data (<span class="html-italic">n</span> = 283). (<b>C</b>) Point plots for assessing risk distribution of patients between high- and low-risk groups from TCGA-CESC data. (<b>D</b>) Kaplan–Meier survival curves showing OS outcomes according to relative high-risk and low-risk patients in GSE44001 data (<span class="html-italic">n</span> = 300). (<b>E</b>) Point plots for assessing risk distribution of patients between high- and low-risk groups from GSE44001 data. * <span class="html-italic">p</span> &lt; 0.05 indicates statistical significance.</p>
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<p>Single-cell sequencing analysis of GSE168652 and the cell localization of 8 prognostic genes associated with OS. (<b>A</b>) Cluster analysis and dimension reduction. All cells in GSE168652 were divided into 8 cell clusters. (<b>B</b>) The cells are categorized into epithelial cells, macrophages, NK cells, and T cells based on surface marker genes. (<b>C</b>,<b>D</b>) UMAP plots of the three prognostic genes.</p>
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<p>Enrichment-based assessments for DEGs linked with risk score. (<b>A</b>) Volcano plot showing DEGs associated with risk group and red/blue reflect up/downregulated genes, respectively. (<b>B</b>) GO enrichment of risk-score-related DEGs. (<b>C</b>,<b>D</b>) Gene set enrichment analysis (GSEA) identifying the altered signaling pathways of risk-score-related DEGs in CC.</p>
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<p>Immune landscape between high- and low-risk groups. (<b>A</b>) Differential expression of ESTIMATE score, immune score, stromal score, and tumor purity between two subgroups using ESTIMATE algorithm. (<b>B</b>) Differences in the infiltration levels of 22 immune cell types between two subgroups using CIBERSORT algorithm. Differential expression of ICP-related genes (<b>C</b>,<b>D</b>) and HLA genes (<b>E</b>) in the high- and low-risk groups. (<b>F</b>,<b>G</b>) Mutation landscape in the high- and low-risk groups of TCGA cohort (**** <span class="html-italic">p</span> &lt; 0.0001; *** <span class="html-italic">p</span> &lt; 0.001; ** <span class="html-italic">p</span> &lt; 0.01; * <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The expression of key prognostic genes was analyzed between tumor and normal cell lines using qRT-PCR through Student’s <span class="html-italic">t</span>-test. FGFR3 was significantly downregulated in SiHa and Caski cells compared to the normal cell line ECt1/E6E7. (<b>A</b>–<b>C</b>) represent FGFR3, SCNN1B, and CALML5, respectively. The data are expressed as the mean ± SD (<span class="html-italic">n</span> = 3), where * <span class="html-italic">p</span> ˂ 0.05 indicates statistical significance, ns = not significant.</p>
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<p>Cell viability of HeLa cells with different treatments by MTT assay. The data are expressed as mean ± SD (<span class="html-italic">n</span> = 3). Different letters (a–c) indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) using one-way ANOVA, followed by Tukey’s multiple comparison tests.</p>
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19 pages, 6156 KiB  
Article
The Impact of Gut Microbiota Changes on Methotrexate-Induced Neurotoxicity in Developing Young Rats
by Yu-Chieh Chen, Chih-Yao Hou, Mei-Hsin Hsu, Li-Tung Huang, Chih-Cheng Hsiao and Jiunn-Ming Sheen
Biomedicines 2024, 12(4), 908; https://doi.org/10.3390/biomedicines12040908 - 19 Apr 2024
Cited by 1 | Viewed by 1531
Abstract
Methotrexate (MTX) is an essential part of therapy in the treatment of acute lymphoblastic leukemia (ALL) in children, and inferior intellectual outcomes have been reported in children who are leukemia survivors. Although several studies have demonstrated that the interaction between gut microbiota changes [...] Read more.
Methotrexate (MTX) is an essential part of therapy in the treatment of acute lymphoblastic leukemia (ALL) in children, and inferior intellectual outcomes have been reported in children who are leukemia survivors. Although several studies have demonstrated that the interaction between gut microbiota changes and the brain plays a vital role in the pathogenesis of chemotherapy-induced brain injury, preexisting studies on the effect of MTX on gut microbiota changes focused on gastrointestinal toxicity only. Based on our previous studies, which revealed that MTX treatment resulted in inferior neurocognitive function in developing young rats, we built a young rat model mimicking MTX treatment in a child ALL protocol, trying to investigate the interactions between the gut and brain in response to MTX treatment. We found an association between gut microbiota changes and neurogenesis/repair processes in response to MTX treatment, which suggest that MTX treatment results in gut dysbiosis, which is considered to be related to MTX neurotoxicity through an alteration in gut–brain axis communication. Full article
(This article belongs to the Section Neurobiology and Clinical Neuroscience)
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<p>Experimental paradigm.</p>
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<p>(<b>A</b>) Alpha diversity index, measured by Chao1 richness estimator, and Shannon index were not significantly changed. (<b>B</b>) Beta diversity index measured by unweighted unifraction distance revealed that local species within groups were changed by MTX treatment. (<b>C</b>) PCoA coordinate matrix analysis demonstrated that local species within groups were changed by MTX treatment. (<b>D</b>) Firmicutes/Bacteroidetes ratio was decreased in the MTX-treated group. (<b>E</b>) Relative abundances of the top 10 clusters of bacteria at the phylum level were changed in the MTX-treated group. (<b>F</b>) Relative abundances of the top 10 clusters of bacteria at the family level were changed in the MTX-treated group (values were shown as percentage). (<b>G</b>) Linear discriminant analysis (LDA) effect size (LEfSe) analysis found change in bacteria at the genus level after MTX stimulation. (green bar: taxa found in greater relative abundance in the CTP group; red bars: taxa found in greater relative abundance in XTP). LDA scores higher than 3 were shown with significant changes. CTP: sham groups; XTP: MTX-treated groups. *: <span class="html-italic">p</span> &lt; 0.05 vs. CTP; **: <span class="html-italic">p</span> &lt; 0.01 vs. CTP. N = 10 in CTP; N = 12 in XTP.</p>
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<p>Significant changes in relative abundance of bacteria at the genus level were examined via LEfSe analysis. The left panel represented bacteria down-regulated in responses to MTX treatment (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>). The right panel represented bacteria up-regulated in responses to MTX treatment (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>). LDA scores higher than 3 were shown with significant changes. Mann–Whitney U test was performed to examine the significant differences between CTP and XTP groups. CTP: sham groups; XTP: MTX-treated groups. N = 10 in CTP; N = 12 in XTP.</p>
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<p>KEGG pathway under metabolism and enriched KEGG pathways in categories of metabolism (<b>A</b>), genetic information processing (<b>B</b>), and the organismal system (<b>C</b>), at classification levels 2 and 3. The bar plots show relative abundance (%). Statistical analysis was performed by independent <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>KEGG pathway under metabolism and enriched KEGG pathways in categories of metabolism (<b>A</b>), genetic information processing (<b>B</b>), and the organismal system (<b>C</b>), at classification levels 2 and 3. The bar plots show relative abundance (%). Statistical analysis was performed by independent <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Scheme of short-chain fatty acid metabolism pathway affected by MTX. Genes highlighted in red were verified by real-time PCR followed by <span class="html-italic">t</span>-test statistical analysis. Up arrow indicates up-regulated genes compared to the CTP group, <span class="html-italic">p</span> &lt; 0.05; down arrow shows down-regulated genes compared to the CTP group, <span class="html-italic">p</span> &lt; 0.05. CTP: sham groups; XTP: MTX-treated groups. N = 8 in each group.</p>
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<p>Neurotransmitter dysregulation and alteration in neurosynaptic communication following MTX treatment. The genes labeled in green and italics were down-regulated following MTX by independent <span class="html-italic">t</span>-test compared to the CTP group, <span class="html-italic">p</span> &lt; 0.05. The genes labeled in red and italics were up-regulated following MTX by an independent <span class="html-italic">t</span>-test compared to the CTP group, <span class="html-italic">p</span> &lt; 0.05. The red arrows with a down direction represented a decreased production of the corresponding metabolites. The red arrows with an up direction represented an increased production of the corresponding metabolites. Glul: K01915 Glutamine synthetase; Comt: K00545 Catechol O-methyltransferase; Maoa: K00274 Monoamine oxidase; Pld1/2: K01115 Phospholipase D1/2; Ddc:K01593 Aromatic-<span class="html-small-caps">l</span>-amino-acid/<span class="html-small-caps">l</span>-tryptophan decarboxylase; Gad 1/2: K01580 Glutamate decarboxylase; Gls: K01425 Glutaminase; Tyr: K00505 Tyrosinase.</p>
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<p>Levels of plasma SCFA and hippocampus NT metabolites were highly affected by MTX treatment. (<b>A</b>) Plasma levels of SCFAs including acetic acid, butyric acid, and propionic acid were significantly reduced in MTX groups. (<b>B</b>) Changes in 17 NT metabolites in the hippocampus after MTX treatment, analyzed by UHPLC-MS/MS, are shown in the heat map. Values were calculated as the z-score and an independent <span class="html-italic">t</span>-test analysis was performed. *: compared to CTP, <span class="html-italic">p</span> &lt; 0.05; **: compared to CTP, <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>) Correlations between genus and metabolites in the plasma and hippocampus. The 17 bacteria, on the genus level, were selected in metagenomeSeq data. Spearman’s coefficients were indicated by a color gradient from blue (negative correlation) to red (positive correlation). *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01. Tyr: <span class="html-small-caps">l</span>-Tyrosine; LDOPA: 3,4-Dihydroxyphenylalanine; DA: dopamine; Trp: <span class="html-small-caps">l</span>-Tryptophan; 5HTP: 5-Hydroxytryptophan; TrpA: Tryptamine; 5HT: Serotonin; GSH: Glutathione; Asp: <span class="html-small-caps">l</span>-Aspartate; Asn: <span class="html-small-caps">l</span>-Asparagine; Glu: <span class="html-small-caps">l</span>-Glutamate; GABA: 4-Aminobutyric acid; Gln: <span class="html-small-caps">l</span>-Glutamine; Ach: Acetylcholine; E: Epinephrine; NE: Norepinephrine; Hist: Histamine. Metabolites shown in red were associated with learning and memory function in the brain.</p>
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13 pages, 5942 KiB  
Article
Antitumor Efficacy of Arylquin 1 through Dose-Dependent Cytotoxicity, Apoptosis Induction, and Synergy with Radiotherapy in Glioblastoma Models
by Ann-Shung Lieu, Yu-Chi Pan, Jia-Hau Lee, Yuan-Chin Hsieh, Chien-Ju Lin, Ya-Ling Hsu, Kung-Chao Chang, Shih-Hsun Kuo, Tzu-Ting Tseng and Hung-Pei Tsai
Biomedicines 2024, 12(4), 907; https://doi.org/10.3390/biomedicines12040907 - 19 Apr 2024
Viewed by 1350
Abstract
Glioblastoma (GBM), the most aggressive form of brain cancer, is characterized by rapid growth and resistance to conventional therapies. Current treatments offer limited effectiveness, leading to poor survival rates and the need for novel therapeutic strategies. Arylquin 1 has emerged as a potential [...] Read more.
Glioblastoma (GBM), the most aggressive form of brain cancer, is characterized by rapid growth and resistance to conventional therapies. Current treatments offer limited effectiveness, leading to poor survival rates and the need for novel therapeutic strategies. Arylquin 1 has emerged as a potential therapeutic candidate because of its unique mechanism of inducing apoptosis in cancer cells without affecting normal cells. This study investigated the efficacy of Arylquin 1 against GBM using the GBM8401 and A172 cells by assessing its dose-dependent cytotoxicity, apoptosis induction, and synergy with radiotherapy. In vitro assays demonstrated a significant reduction in cell viability and increased apoptosis, particularly at high concentrations of Arylquin 1. Migration and invasion analyses revealed notable inhibition of cellular motility. In vivo experiments on NU/NU nude mice with intracranially implanted GBM cells revealed that Arylquin 1 substantially reduced tumor growth, an effect magnified by concurrent radiotherapy. These findings indicate that by promoting apoptosis and enhancing radiosensitivity, Arylquin 1 is a potent therapeutic option for GBM treatment. Full article
(This article belongs to the Special Issue Gliomas: Signaling Pathways, Molecular Mechanisms and Novel Therapies)
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<p>Effect of Arylquin 1 on glioblastoma (GBM) cell viability. The graph illustrates the dose-dependent cytotoxicity of Arylquin 1 on GBM8401 and A172 cells. Cell viability was assessed at various concentrations of Arylquin 1 (ranging from 0 to 10 μM). A steep decline in cell viability was observed with increasing concentrations of Arylquin 1, with significant cytotoxic effects noticeable at lower concentrations that became more pronounced with each successive increase in dosage. Statistical significance is indicated by asterisks, with one asterisk (*) denoting <span class="html-italic">p</span> &lt; 0.05, three asterisks (***) denoting <span class="html-italic">p</span> &lt; 0.01, four asterisks (****) denoting <span class="html-italic">p</span> &lt; 0.0001, reflecting a highly significant reduction in cell viability after Arylquin 1 treatment.</p>
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<p>Arylquin 1 modulates cell cycle distribution in GBM8401 and A172 cells. Flow cytometry histograms display the DNA content profiles, reflecting the distribution of cells across different phases of the cell cycle in GBM8401 and A172 cells treated with Arylquin 1 at concentrations of 0, 1, 2.5, and 5 μM. Histograms represent the percentage of cells in the G0/G1, S, and G2/M phases, with the Sub G1 peak indicating apoptotic cells. The bar graphs quantify the percentage of cells in each phase of the cell cycle corresponding to each treatment. GBM8401 cells showed an increase in the Sub G1 population with higher doses of Arylquin 1, indicating increased apoptosis. Similarly, A172 cells exhibited a dose-dependent increase in Sub G1, with a marked escalation at 2.5 μM and 5 μM, suggesting enhanced apoptosis. Notable changes in cell cycle phases, such as a decrease in the S and G2/M phases at higher concentrations, indicated cell cycle arrest and reduced proliferation. Asterisks indicate statistical significance compared to the untreated control: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Arylquin 1 induces dose-dependent apoptosis in GBM8401 and A172 cells. Flow cytometric apoptosis profiles of GBM8401 and A172 cells treated with various concentrations of Arylquin 1 (0, 1, 2.5, and 5 μM). The quadrants represent live (bottom left), early apoptotic (bottom right), late apoptotic/dead (top right), and dead (top left) cells. The corresponding bar graphs summarize the percentage of apoptotic cells, combining the early and late apoptotic populations, for each treatment group. Data indicate a significant increase in apoptosis with higher concentrations of Arylquin 1 in both cells, with GBM8401 showing a notable rise in apoptosis at both at 2.5 μM (* <span class="html-italic">p</span> &lt; 0.05) and 5 μM (*** <span class="html-italic">p</span> &lt; 0.001) and A172 cells displaying a significant increase at both 2.5 μM (** <span class="html-italic">p</span> &lt; 0.01) and 5 μM (*** <span class="html-italic">p</span> &lt; 0.001) compared to the untreated control.</p>
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<p>Effects of Arylquin 1 on GBM cell invasiveness in Matrigel invasion assays. Microscopic images depicting the invasive properties of GBM8401 and A172 cells through Matrigel matrices following treatment with Arylquin 1. The left panels show untreated control cells with dense cellular invasion, whereas the right panels show cells post–Arylquin 1 treatment, displaying reduced invasion. The quantified invasion rates for GBM8401 and A172 cells illustrated a significant decline in cell invasion upon Arylquin 1 treatment compared to the controls. Asterisks indicate statistical significance compared to the untreated control: *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Impact of Arylquin 1 on GBM cell migration in a wound healing essay. Displayed are the results of a wound healing assay performed on GBM8401 and A172 cells to assess the impact of Arylquin 1 on cellular migration. Time-lapse images captured at 0, 8, 12, and 24 h post–Arylquin 1 application documented the changes in wound closure. The images show a noticeable decrease in the wound closure rate of GBM8401 cells after Arylquin 1 treatment compared to that of the control, which was more pronounced at higher concentrations of the drug. A172 cells exhibited a similar reduction in wound-healing capability after treatment. The bar graphs on the right quantitatively depict the percentage of wound closure over time, underlining the inhibitory effect of Arylquin 1 on cell migration in both GBM8401 and A172 cells, with a notable dose-dependent reduction in the migration rate relative to the untreated controls. Asterisks indicate statistical significance compared to the untreated control: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Enhancing radiosensitivity in GBM cells with Arylquin 1 treatment. The graphs display the surviving fractions of GBM8401 and A172 cells post-irradiation with increasing doses of radiation (0 to 8 Gy) in the presence of varying concentrations of Arylquin 1 (0, 1, 2.5, and 5 μM). For GBM8401 cells, survival decreased with increasing doses of Arylquin 1, indicating a synergistic effect that enhanced radiosensitivity. The surviving fraction was dramatically reduced at the highest concentration of Arylquin 1, particularly at higher radiation doses, as indicated by the steep decline in the red lines. A similar pattern was observed in A172 cells, where Arylquin 1 treatment leads to a substantial decrease in cell survival upon radiation exposure, suggesting increased radiosensitivity. These results demonstrated that Arylquin 1 could potentially be used to sensitize GBM cells to radiation therapy, lowering the surviving fraction of cells more effectively than radiation alone. Statistical significance is denoted by asterisks, indicating a potentiated reduction in survival at each dose level compared to the control. Asterisks indicate statistical significance compared to the untreated control: ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><b>Arylquin 1 impact on tumor growth with and without radiotherapy.</b> (<b>A</b>) The luminescence intensity measurements reveal tumor progression over time in groups treated with different concentrations of Arylquin 1. Compared to the control, both 1 μM and 5 μM doses of Arylquin 1 manifest a clear reduction in tumor growth, with the 5 μM concentration exhibiting a more pronounced suppressive effect. (<b>B</b>) This panel highlights the comparative tumor progression between the control group, a group treated with 1 μM Arylquin 1, and another group receiving a combination of 1 μM Arylquin 1 and radiotherapy (RT). Treatment with 1 μM Arylquin 1 shows a reduction in tumor growth, and, when combined with RT, this effect is significantly amplified, indicating a synergistic interaction that greatly diminishes tumor proliferation. Asterisks indicate statistical significance compared to the untreated control: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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8 pages, 5629 KiB  
Case Report
Management of Double-Seropositive Anti-Glomerular Basement Membrane and Anti-Neutrophil Cytoplasmic Antibodies with 100% Crescentic Glomerulonephritis and Nephrotic Range Proteinuria in a Young Female
by Lalida Kunaprayoon, Emily T. C. Scheffel and Emaad M. Abdel-Rahman
Biomedicines 2024, 12(4), 906; https://doi.org/10.3390/biomedicines12040906 - 19 Apr 2024
Viewed by 1565
Abstract
Nephrotic range proteinuria in the setting of dual-positive anti-glomerular basement membrane (AGBM) and anti-neutrophil cytoplasmic antibodies (ANCAs) is rare. Furthermore, using rituximab as a primary immunosuppressant along with steroids and plasmapheresis has not been widely studied. We present a case of dual AGBM [...] Read more.
Nephrotic range proteinuria in the setting of dual-positive anti-glomerular basement membrane (AGBM) and anti-neutrophil cytoplasmic antibodies (ANCAs) is rare. Furthermore, using rituximab as a primary immunosuppressant along with steroids and plasmapheresis has not been widely studied. We present a case of dual AGBM and ANCA with nephrotic range proteinuria in a young female, where rituximab was used as a primary immunosuppressant with partial recovery. Full article
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<p>Light microscopy shows cellular crescent formation. Presence of diffuse interstitial edema with mixed interstitial inflammatory infiltrate (Magnification X 400).</p>
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<p>Electron microscopy shows severe epithelial foot process effacement. No evidence of an immune complex deposition observed (x6000).</p>
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13 pages, 292 KiB  
Article
Vitamin D Levels in COVID-19 and NonCOVID-19 Pediatric Patients and Its Relationship with Clinical and Laboratory Characteristics
by Maria Totan, Ioana-Octavia Matacuta-Bogdan, Adrian Hasegan and Ionela Maniu
Biomedicines 2024, 12(4), 905; https://doi.org/10.3390/biomedicines12040905 - 18 Apr 2024
Cited by 1 | Viewed by 1967
Abstract
25-hydroxyvitamin D [25(OH)D] is a marker with an important role in regulating the inflammatory response. Low concentrations of this vitamin are often found among the population, correlated with increased risk of respiratory tract infections. The aim of the study is to evaluate the [...] Read more.
25-hydroxyvitamin D [25(OH)D] is a marker with an important role in regulating the inflammatory response. Low concentrations of this vitamin are often found among the population, correlated with increased risk of respiratory tract infections. The aim of the study is to evaluate the relationship between vitamin D levels and clinical and laboratory markers in children and adolescents hospitalized with and without COVID-19. A retrospective study, including all patients tested for SARS-CoV-2 and having vitamin D measured, was performed. All included hospitalized cases, 78 COVID-19 patients and 162 NonCOVID-19 patients, were divided into subgroups according to their 25(OH)D serum levels (<20 ng/mL—deficiency, 20–30 ng/mL—insufficiency, ≥30 ng/mL—normal or <30 ng/mL, ≥30 ng/mL) and age (≤2 years, >2 years). Vitamin D deficiency and insufficiency increased with age, in both COVID-19 and NonCOVID-19 groups. All symptoms were encountered more frequently in cases of pediatric patients with COVID-19 in comparison with NonCOVID-19 cases. The most frequently encountered symptoms in the COVID-19 group were fever, loss of appetite, and nasal congestion. In the NonCOVID-19 group, serum 25(OH)D concentrations were positively correlated with leukocytes, lymphocytes, and LMR and negatively correlated with neutrophils, NLR, and PLR while no significant correlation was observed in the case of COVID-19 group. Differences between vitamin D status and clinical and laboratory parameters were observed, but their clinical significance should be interpreted with caution. The results of this study may offer further support for future studies exploring the mechanisms of the relationship between vitamin D and clinical and laboratory markers as well as for studies investigating the implications of vitamin D deficiency/supplementation on overall health/clinical outcomes of patients with/without COVID-19. Full article
(This article belongs to the Section Molecular and Translational Medicine)
21 pages, 34472 KiB  
Article
Verapamil Attenuates the Severity of Tendinopathy by Mitigating Mitochondrial Dysfunction through the Activation of the Nrf2/HO-1 Pathway
by Zengguang Wang, Zhenglin Dong, Yiming Li, Xin Jiao, Yihao Liu, Hanwen Chang and Yaokai Gan
Biomedicines 2024, 12(4), 904; https://doi.org/10.3390/biomedicines12040904 - 18 Apr 2024
Cited by 2 | Viewed by 3937
Abstract
Tendinopathy is a prevalent condition in orthopedics patients, exerting a profound impact on tendon functionality. However, its underlying mechanism remains elusive and the efficacy of pharmacological interventions continues to be suboptimal. Verapamil is a clinically used medicine with anti-inflammation and antioxidant functions. This [...] Read more.
Tendinopathy is a prevalent condition in orthopedics patients, exerting a profound impact on tendon functionality. However, its underlying mechanism remains elusive and the efficacy of pharmacological interventions continues to be suboptimal. Verapamil is a clinically used medicine with anti-inflammation and antioxidant functions. This investigation aimed to elucidate the impact of verapamil in tendinopathy and the underlying mechanisms through which verapamil ameliorates the severity of tendinopathy. In in vitro experiments, primary tenocytes were exposed to interleukin-1 beta (IL−1β) along with verapamil at a concentration of 5 μM. In addition, an in vivo rat tendinopathy model was induced through the localized injection of collagenase into the Achilles tendons of rats, and verapamil was injected into these tendons at a concentration of 5 μM. The in vitro findings highlighted the remarkable ability of verapamil to attenuate extracellular matrix degradation and apoptosis triggered by inflammation in tenocytes stimulated by IL−1β. Furthermore, verapamil was observed to significantly suppress the inflammation-related MAPK/NFκB pathway. Subsequent investigations revealed that verapamil exerts a remediating effect on mitochondrial dysfunction, which was achieved through activation of the Nrf2/HO-1 pathway. Nevertheless, the protective effect of verapamil was nullified with the utilization of the Nrf2 inhibitor ML385. In summary, the in vivo and in vitro results indicate that the administration of verapamil profoundly mitigates the severity of tendinopathy through suppression of inflammation and activation of the Nrf2/HO-1 pathway. These findings suggest that verapamil is a promising therapeutic agent for the treatment of tendinopathy, deserving further and expanded research. Full article
(This article belongs to the Section Gene and Cell Therapy)
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<p>Toxicity of verapamil on tenocytes at different concentrations. (<b>A</b>) The effects of verapamil on cell viability were assessed via a CCK8 assay at 24, 48, and 72 h. (<b>B</b>) Live/dead cell staining of tenocytes treated with 0, 0.625, 1.25, 2.5, or 5 μM verapamil. Scale bar, 250 μm. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3. A difference was deemed no significant (ns) if the <span class="html-italic">p</span>-value was greater than 0.05.</p>
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<p>Verapamil protects tenocytes from extracellular matrix degradation, inflammation, and apoptosis induced by IL−1β. (<b>A</b>) The relative mRNA expression of IL6, COX2, MMP3, MMP9, and MMP13 analyzed via qPCR. (<b>B</b>) The protein level of BAX, BCL2, IL6, MMP3, MMP9, and MMP13 detected by means of Western blot. (<b>C</b>) Quantitative results of BAX, BCL2, IL6, MMP3, MMP9, and MMP13 detected by means of Western blot. (<b>D</b>) Immunofluorescent images of MMP13 obtained in combination with DAPI staining for the cell nucleus. Scale bar, 100 μm. (<b>E</b>) Quantitative results of MMP13 immunofluorescence. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>RNA sequencing and analysis comparing normal tenocytes with those stimulated by IL −1β. (<b>A</b>) Heatmap of genes differentially expressed between normal tenocytes and those stimulated with IL−1β. (<b>B</b>) Volcanol plot of genes differentially expressed between normal tenocytes and those stimulated by IL−1β. (<b>C</b>) Chart of differentially upregulated and downregulated genes between normal tenocytes and those stimulated with IL−1β; genes with |log2FC| &gt; 1 and <span class="html-italic">p</span>-adjust &lt; 0.05 were considered to be significantly different expressed genes. (<b>D</b>) Gene Ontology (GO) enrichment analysis of differentially expressed genes; rich factor is the ratio of differentially expressed protein number annotated in this pathway term to all protein number annotated. (<b>E</b>) Inflammatory activity-, apoptosis-, extracellular matrix degradation-, and oxidative stress-related genes. (<b>F</b>) Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis; rich factor is the ratio of differentially expressed protein numbers annotated in this pathway term to all annotated protein numbers. <span class="html-italic">n</span> = 3.</p>
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<p>Expression of the NFκB and MAPK signaling pathways after IL−1β and verapamil administration. (<b>A</b>) The phosphorylation levels of IκBα and P65 in tenocytes of the control, IL−1β, and IL−1β + verapamil groups examined by means of Western blot. (<b>B</b>) Quantitative results of phosphorylation levels of P65 and IκBα and quantitative results of IκBα. (<b>C</b>) The phosphorylation levels of P38 and ERK1/2 in tenocytes of the control, IL−1β, and IL−1β + verapamil groups examined by means of Western blot. (<b>D</b>) Quantitative results of phosphorylation levels of P38 and ERK1/2. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>Protective effect of verapamil on IL−1β-induced oxidative stress in tenocytes. (<b>A</b>) DCFH-DA probe and DAPI staining for nucleus. Scale bar, 200 μm. (<b>B</b>) Quantitative results of DCFH-DA. (<b>C</b>) Dihydroethidium probe and DAPI staining for nucleus. Scale bar, 200 μm. (<b>D</b>) Quantitative results of DHE. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>Protective effect of verapamil on IL−1β-induced mitochondrial dysfunction in tenocytes. (<b>A</b>) Fluorescent images of JC-1 staining. Scale bar, 20 μm. (<b>B</b>) Quantitative results of JC-1. (<b>C</b>) MitoTracker Green staining for the mitochondria and MitoSOX probe for the superoxide combined with DAPI staining for the nucleus. Scale bar, 20 μm. (<b>D</b>) Quantitative results of MitoSOX. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>Verapamil facilitates Nrf2 entry into the nucleus to exert its protective effects. (<b>A</b>) The levels of Nrf2 translocation to the nucleus and the expression level of HO-1 in tenocytes of the control, IL−1β, and IL−1β + verapamil groups examined by Western blot. (<b>B</b>) Quantitative results of Nrf2 and HO-1. (<b>C</b>) DCFH-DA probe and DAPI staining for nucleus among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. Scale bar, 200 μm. (<b>D</b>) Quantitative results of DCFH-DA. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>ML385 reverses the protective effect of verapamil. (<b>A</b>) Immunofluorescent images of HO-1 obtained in combination with DAPI staining for the cell nucleus among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. Scale bar, 150 μm. (<b>B</b>) Quantitative results of HO-1 staining among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. (<b>C</b>) Immunofluorescent images of MMP13 obtained in combination with DAPI staining for the cell nucleus among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. Scale bar, 150 μm. (<b>D</b>) Quantitative results of MMP13 staining among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>ML385 has the capacity to reverse the protective function of verapamil on the mitochondrial membrane potential. (<b>A</b>) Fluorescent images of JC-1 staining among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. (<b>B</b>) Quantitative results of JC-1 staining among the control, IL−1β, IL−1β + verapamil, and IL−1β + verapamil + 2 μM ML385 groups. Scale bar, 20μm. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 3.</p>
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<p>Evaluation of the protective effect of verapamil on rat tendons in vivo. (<b>A</b>) HE and Masson’s trichrome staining of tendons. Scale bar, 100 μm. (<b>B</b>) Histology score of HE staining among the four groups. Scale bar, 100 μm. (<b>C</b>) TUNEL staining among the four groups. (<b>D</b>) Quantitative results of TUNEL staining. (<b>E</b>) Immunohistochemical staining of MMP13 and COX2 among the four groups. Scale bar, 100 μm. (<b>F</b>) Quantitative results of immunohistochemical staining of MMP13 and COX2. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 6.</p>
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<p>Evaluation of the protective effect of verapamil on rat tendons in vivo. (<b>A</b>) Immunohistochemical staining of HO-1, P-ERK1/2, P-P38, and P-P65 among the four groups. Scale bar, 100 μm. (<b>B</b>) Quantitative results of immunohistochemical staining of HO-1, P-ERK1/2, P-P38, and P-P65. Data are presented in the form of mean ± standard deviation, <span class="html-italic">n</span> = 6.</p>
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12 pages, 1072 KiB  
Article
The Role of Pretreatment Serum Interleukin 6 in Predicting Short-Term Mortality in Patients with Advanced Pancreatic Cancer
by Se Jun Park, Ju Yeon Park, Kabsoo Shin, Tae Ho Hong, Younghoon Kim, In-Ho Kim and MyungAh Lee
Biomedicines 2024, 12(4), 903; https://doi.org/10.3390/biomedicines12040903 - 18 Apr 2024
Viewed by 1530
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is notorious for its aggressive progression and dismal survival rates, with this study highlighting elevated interleukin 6 (IL-6) levels in patients as a key marker of increased disease severity and a potential prognostic indicator. Analyzing pre-treatment serum from 77 [...] Read more.
Pancreatic ductal adenocarcinoma (PDAC) is notorious for its aggressive progression and dismal survival rates, with this study highlighting elevated interleukin 6 (IL-6) levels in patients as a key marker of increased disease severity and a potential prognostic indicator. Analyzing pre-treatment serum from 77 advanced PDAC patients via ELISA, the research determined optimal cutoff values for IL-6 and the IL-6:sIL-6Rα ratio using receiver operating characteristic curve analysis, which then facilitated the division of patients into low and high IL-6 groups, showing significantly different survival outcomes. Notably, high IL-6 levels correlated with adverse features such as poorly differentiated histology, higher tumor burden, and low albumin levels, indicating a stronger likelihood of poorer prognosis. With a median follow-up of 9.28 months, patients with lower IL-6 levels experienced markedly better median overall survival and progression-free survival than those with higher levels, underscoring IL-6’s role in predicting disease prognosis. Multivariate analysis further confirmed IL-6 levels, alongside older age, and elevated neutrophil-to-lymphocyte ratio, as predictors of worse outcomes, suggesting that IL-6 could be a critical biomarker for tailoring treatment strategies in advanced PDAC, warranting further investigation into its role in systemic inflammation and the tumor microenvironment. Full article
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<p>Kaplan–Meier survival curves depicting overall survival based on serum interleukin-6 levels and the ratio of interleukin-6 to soluble interleukin-6 receptor. Panels (<b>A</b>,<b>B</b>) show survival across all study participants (<span class="html-italic">n</span> = 77), while panels (<b>C</b>,<b>D</b>) focus on patients who underwent systemic treatment (<span class="html-italic">n</span> = 65).</p>
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<p>Progression-free survival (PFS) in patients with advanced pancreatic cancer who received palliative systemic chemotherapy, (<b>A</b>) categorized by serum interleukin-6 levels and (<b>B</b>) differentiated by the ratio of interleukin-6 to its soluble receptor.</p>
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<p>The relationship between interleukin-6 levels and the proportion and absolute count of neutrophils and lymphocytes in patients with advanced pancreatic cancer. (<b>A</b>) Correlation between serum IL-6 and neutrophil-to-lymphocyte ratio (NLR), (<b>B</b>) difference in NLR values between IL-6 high and low groups, (<b>C</b>) differences in neutrophil proportion, (<b>D</b>) lymphocyte proportion, (<b>E</b>) absolute neutrophil count, and (<b>F</b>) absolute lymphocyte count between the two groups according to IL-6 levels, differences in (<b>G</b>) CD4+ and (<b>H</b>) CD8+ T cell subpopulations between the two groups based on IL-6 levels.</p>
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16 pages, 14885 KiB  
Article
N-Acetylcysteine Attenuates Sepsis-Induced Muscle Atrophy by Downregulating Endoplasmic Reticulum Stress
by Renyu Chen, Yingfang Zheng, Chenchen Zhou, Hongkai Dai, Yurou Wang, Yun Chu and Jinlong Luo
Biomedicines 2024, 12(4), 902; https://doi.org/10.3390/biomedicines12040902 - 18 Apr 2024
Cited by 2 | Viewed by 1607
Abstract
(1) Background: Sepsis-induced muscle atrophy is characterized by a loss of muscle mass and function which leads to decreased quality of life and worsens the long-term prognosis of patients. N-acetylcysteine (NAC) has powerful antioxidant and anti-inflammatory properties, and it relieves muscle wasting caused [...] Read more.
(1) Background: Sepsis-induced muscle atrophy is characterized by a loss of muscle mass and function which leads to decreased quality of life and worsens the long-term prognosis of patients. N-acetylcysteine (NAC) has powerful antioxidant and anti-inflammatory properties, and it relieves muscle wasting caused by several diseases, whereas its effect on sepsis-induced muscle atrophy has not been reported. The present study investigated the effect of NAC on sepsis-induced muscle atrophy and its possible mechanisms. (2) Methods: The effect of NAC on sepsis-induced muscle atrophy was assessed in vivo and in vitro using cecal ligation and puncture-operated (CLP) C57BL/6 mice and LPS-treated C2C12 myotubes. We used immunofluorescence staining to analyze changes in the cross-sectional area (CSA) of myofibers in mice and the myotube diameter of C2C12. Protein expressions were analyzed by Western blotting. (3) Results: In the septic mice, the atrophic response manifested as a reduction in skeletal muscle weight and myofiber cross-sectional area, which is mediated by muscle-specific ubiquitin ligases—muscle atrophy F-box (MAFbx)/Atrogin-1 and muscle ring finger 1 (MuRF1). NAC alleviated sepsis-induced skeletal muscle wasting and LPS-induced C2C12 myotube atrophy. Meanwhile, NAC inhibited the sepsis-induced activation of the endoplasmic reticulum (ER) stress signaling pathway. Furthermore, using 4-Phenylbutyric acid (4-PBA) to inhibit ER stress in LPS-treated C2C12 myotubes could partly abrogate the anti-muscle-atrophy effect of NAC. Finally, NAC alleviated myotube atrophy induced by the ER stress agonist Thapsigargin (Thap). (4) Conclusions: NAC can attenuate sepsis-induced muscle atrophy, which may be related to downregulating ER stress. Full article
(This article belongs to the Section Immunology and Immunotherapy)
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<p>N–acetylcysteine prevents sepsis-induced muscle atrophy in vivo. (<b>A</b>) Chemical structure of N–acetylcysteine. (<b>B</b>) Body weight changes after surgery in each group (<span class="html-italic">n</span> = 4–6). (<b>C</b>) Probability of survival after surgery. (<b>D</b>,<b>E</b>) Muscle weight of TA and GA (<span class="html-italic">n</span> = 4–6). (<b>F</b>) Representative immunofluorescent staining of myofiber cross-section of TA. The scale bar represents 100 μm. (<b>G</b>) Average CSA for TA of each group. (<b>H</b>) Quantification of fiber size measured by CSA (<span class="html-italic">n</span> = 3). (<b>I</b>–<b>M</b>) Western blot and quantitative analysis of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins (<span class="html-italic">n</span> = 3). GAPDH is used as internal control. TA: tibialis anterior muscle; GA: gastrocnemius muscle; CSA: cross-sectional area. Black: Sham-operation group; Red: CLP group; Blue: CLP + NAC(0.5g/kg) group; Green: CLP + NAC(1g/kg) group. Differences are considered significant at levels of * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 versus the sham group. Differences are considered significantly at levels of # <span class="html-italic">p</span> &lt; 0.05, ### <span class="html-italic">p</span> &lt; 0.001, and #### <span class="html-italic">p</span> &lt; 0.0001 versus the CLP group.</p>
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<p>N–acetylcysteine attenuates LPS-induced myotube atrophy in vitro. (<b>A</b>) The protocol of cell experiments. (<b>B</b>) C2C12 myotubes were treated with different concentrations (0.1 mM, 0.5 mM, 1 mM, 5 mM) of NAC for 24 h. Cell viability was detected by a CCK-8 assay. (<b>C</b>) Representative images of immunofluorescence of MyHC in the four groups (<span class="html-italic">n</span> = 3). Scale bar = 100 μm. (<b>D</b>) Measurement of myotube diameters after stimulation of LPS with or without the addition of NAC. (<b>E</b>) The expression levels of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins were measured in LPS-induced myotubes with or without NAC treatment by Western blot analysis (<span class="html-italic">n</span> = 3). (<b>F</b>–<b>I</b>) Quantification of the proteins indicated above. Ctrl: control group; LPS: lipopolysaccharide; NAC:N–acetylcysteine. Black: control group; Red: LPS group; Blue: LPS + NAC (0.1 mM) group; Green: LPS + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference. ns = not statistically significant.</p>
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<p>N–acetylcysteine attenuates LPS-induced myotube atrophy in vitro. (<b>A</b>) The protocol of cell experiments. (<b>B</b>) C2C12 myotubes were treated with different concentrations (0.1 mM, 0.5 mM, 1 mM, 5 mM) of NAC for 24 h. Cell viability was detected by a CCK-8 assay. (<b>C</b>) Representative images of immunofluorescence of MyHC in the four groups (<span class="html-italic">n</span> = 3). Scale bar = 100 μm. (<b>D</b>) Measurement of myotube diameters after stimulation of LPS with or without the addition of NAC. (<b>E</b>) The expression levels of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins were measured in LPS-induced myotubes with or without NAC treatment by Western blot analysis (<span class="html-italic">n</span> = 3). (<b>F</b>–<b>I</b>) Quantification of the proteins indicated above. Ctrl: control group; LPS: lipopolysaccharide; NAC:N–acetylcysteine. Black: control group; Red: LPS group; Blue: LPS + NAC (0.1 mM) group; Green: LPS + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference. ns = not statistically significant.</p>
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<p>N–acetylcysteine inhibits endoplasmic reticulum stress in sepsis. (<b>A</b>) Western blot assay for ER stress biomarkers: GRP78, IRE1, sXBP1, eIF2α, GADD34, and CHOP in septic mice (<span class="html-italic">n</span> = 3). (<b>B</b>–<b>G</b>) Quantifications of (<b>A</b>). (<b>H</b>) Expression of the aforementioned ER stress proteins in C2C12 myotubes were assessed by Western blot (<span class="html-italic">n</span> = 3). (<b>I</b>–<b>N</b>) Quantifications of (<b>H</b>) are shown. For (<b>B</b>–<b>G</b>), Black: Sham-operation group; Red: CLP group; Blue: CLP + NAC (0.5 g/kg) group; Green: CLP + NAC (1 g/kg) group. For (<b>I</b>–<b>N</b>), Black: control group; Red: LPS group; Blue: LPS + NAC (0.1 mM) group; Green: LPS + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference.</p>
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<p>N–acetylcysteine inhibits endoplasmic reticulum stress in sepsis. (<b>A</b>) Western blot assay for ER stress biomarkers: GRP78, IRE1, sXBP1, eIF2α, GADD34, and CHOP in septic mice (<span class="html-italic">n</span> = 3). (<b>B</b>–<b>G</b>) Quantifications of (<b>A</b>). (<b>H</b>) Expression of the aforementioned ER stress proteins in C2C12 myotubes were assessed by Western blot (<span class="html-italic">n</span> = 3). (<b>I</b>–<b>N</b>) Quantifications of (<b>H</b>) are shown. For (<b>B</b>–<b>G</b>), Black: Sham-operation group; Red: CLP group; Blue: CLP + NAC (0.5 g/kg) group; Green: CLP + NAC (1 g/kg) group. For (<b>I</b>–<b>N</b>), Black: control group; Red: LPS group; Blue: LPS + NAC (0.1 mM) group; Green: LPS + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference.</p>
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<p>The protective effect of NAC on sepsis-induced muscle atrophy is partly mediated by ER stress. (<b>A</b>) Experimental protocol. (<b>B</b>) Indicated molecules of ER stress were determined by Western blot (<span class="html-italic">n</span> = 3). 4-PBA was used as an ER stress inhibitor. (<b>C</b>) Representative immunofluorescent images of each group (<span class="html-italic">n</span> = 3). (<b>D</b>) Statistics of myotube diameters. Scale bar = 100 μm. (<b>E</b>–<b>I</b>) The expression and quantifications of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins (<span class="html-italic">n</span> = 3). 4-PBA: 4-Phenylbutyric acid. Black: control group; Red: LPS group; Green: LPS + NAC group; Grey: LPS + 4-PBA group; Yellow: LPS + NAC + 4-PBA group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference. ns = not statistically significant.</p>
Full article ">Figure 4 Cont.
<p>The protective effect of NAC on sepsis-induced muscle atrophy is partly mediated by ER stress. (<b>A</b>) Experimental protocol. (<b>B</b>) Indicated molecules of ER stress were determined by Western blot (<span class="html-italic">n</span> = 3). 4-PBA was used as an ER stress inhibitor. (<b>C</b>) Representative immunofluorescent images of each group (<span class="html-italic">n</span> = 3). (<b>D</b>) Statistics of myotube diameters. Scale bar = 100 μm. (<b>E</b>–<b>I</b>) The expression and quantifications of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins (<span class="html-italic">n</span> = 3). 4-PBA: 4-Phenylbutyric acid. Black: control group; Red: LPS group; Green: LPS + NAC group; Grey: LPS + 4-PBA group; Yellow: LPS + NAC + 4-PBA group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference. ns = not statistically significant.</p>
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<p>N–acetylcysteine attenuates ER stress-induced myotube atrophy. (<b>A</b>) Experimental protocol of this section. (<b>B</b>) Expression of ER stress biomarkers at varied concentrations of Thap (0.01, 0.1, 0.5 μM) (<span class="html-italic">n</span> = 3). (<b>C</b>) Immunofluorescence images of C2C12 myotubes treated with Thap with or without NAC (<span class="html-italic">n</span> = 3). Scale bar = 100 μm. (<b>D</b>) Measurement of myotube diameter after stimulation of Thap with or without NAC treatment. (<b>E</b>) Western blot of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins after Thap treatment with or without NAC pretreatment (<span class="html-italic">n</span> = 3). (<b>F</b>–<b>I</b>) Quantifications of A. Thap: Thaspigargin. Black: control group; Red: Thapsigargin group; Blue: Thapsigargin + NAC (0.1 mM) group; Green: Thapsigargin + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference.</p>
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<p>N–acetylcysteine attenuates ER stress-induced myotube atrophy. (<b>A</b>) Experimental protocol of this section. (<b>B</b>) Expression of ER stress biomarkers at varied concentrations of Thap (0.01, 0.1, 0.5 μM) (<span class="html-italic">n</span> = 3). (<b>C</b>) Immunofluorescence images of C2C12 myotubes treated with Thap with or without NAC (<span class="html-italic">n</span> = 3). Scale bar = 100 μm. (<b>D</b>) Measurement of myotube diameter after stimulation of Thap with or without NAC treatment. (<b>E</b>) Western blot of Atrogin-1, MuRF1, MyHC, and poly-ubiquitinated proteins after Thap treatment with or without NAC pretreatment (<span class="html-italic">n</span> = 3). (<b>F</b>–<b>I</b>) Quantifications of A. Thap: Thaspigargin. Black: control group; Red: Thapsigargin group; Blue: Thapsigargin + NAC (0.1 mM) group; Green: Thapsigargin + NAC (1 mM) group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 represent a significant difference.</p>
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Article
Isocitrate Dehydrogenase 1/2 Wildtype Adult Astrocytoma with WHO Grade 2/3 Histological Features: Molecular Re-Classification, Prognostic Factors, Clinical Outcomes
by Meetakshi Gupta, Mustafa Anjari, Sebastian Brandner, Naomi Fersht, Elena Wilson, Steffi Thust and Michael Kosmin
Biomedicines 2024, 12(4), 901; https://doi.org/10.3390/biomedicines12040901 - 18 Apr 2024
Cited by 1 | Viewed by 1484
Abstract
Background: Isocitrate Dehydrogenase 1/2 (IDH 1/2)-wildtype (WT) astrocytomas constitute a heterogeneous group of tumors and have undergone a series of diagnostic reclassifications over time. This study aimed to investigate molecular markers, clinical, imaging, and treatment factors predictive of outcomes in WHO grade 2/3 [...] Read more.
Background: Isocitrate Dehydrogenase 1/2 (IDH 1/2)-wildtype (WT) astrocytomas constitute a heterogeneous group of tumors and have undergone a series of diagnostic reclassifications over time. This study aimed to investigate molecular markers, clinical, imaging, and treatment factors predictive of outcomes in WHO grade 2/3 IDH-WT astrocytomas (‘early glioblastoma’). Methodology: Patients with WHO grade 2/3 IDH-WT astrocytomas were identified from the hospital archives. They were cross-referenced with the electronic medical records systems, including neuroimaging. The expert neuro-pathology team retrieved data on molecular markers—MGMT, TERT, IDH, and EGFR. Tumors with a TERT mutation and/or EGFR amplification were reclassified as glioblastoma. Results: Fifty-four patients were identified. Sixty-three percent of the patients could be conclusively reclassified as glioblastoma based on either TERT mutation, EGFR amplification, or both. On imaging, 65% showed gadolinium enhancement on MRI. Thirty-nine patients (72%) received long-course radiotherapy, of whom 64% received concurrent chemotherapy. The median follow-up of the group was 16 months (range: 2–90), and the median overall survival (OS) was 17.3 months. The 2-year OS of the whole cohort was 31%. On univariate analysis, older age, worse performance status (PS), and presence versus absence of contrast enhancement on diagnostic MRI were statistically significant for poorer OS. Conclusion: IDH-WT WHO grade 2/3 astrocytomas are a heterogeneous group of tumors with poor clinical outcomes. The majority can be reclassified as glioblastoma, based on current WHO classification criteria, but further understanding of the underlying biology of these tumors and the discovery of novel targeted agents are needed for better outcomes. Full article
(This article belongs to the Special Issue Glioblastoma: Current Status and Future Prospects)
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<p>T2-weighted and FLAIR images showing glioma locations in the right temporal lobe (patient 1—<b>A</b>,<b>B</b>), right parietal lobe (patient 2—<b>C</b>,<b>D</b>) with infiltration into the deep white, matter and thalamus, and in the left paracentral lobule (patient 3—<b>E</b>,<b>F</b>).</p>
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<p>T2-weighted and FLAIR images, ADC maps and contrast-enhanced T1-weighted images in 3 different patients showing gadolinium enhancement patterns with no contrast uptake (patient 1, <b>A</b>–<b>D</b>), patchy-solid contrast uptake (patient 2, <b>E</b>–<b>H</b>) and limited rim-enhancement surrounding central necrosis (patient 3, <b>I</b>–<b>L</b>). Of note, the rim-enhancement in L is less pronounced than in typical WHO grade 4 glioblastoma.</p>
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<p>Kaplan–Meier curves for overall survival (OS) of the entire cohort (<b>a</b>) and effect of MRI contrast enhancement on OS (<b>b</b>): blue = presence of contrast enhancement; red = absence of contrast enhancement.</p>
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16 pages, 1380 KiB  
Review
What Is the Role of Basal Weekly Insulin in Clinical Practice? The State of the Art
by Christiano Argano, Laura Priola, Francesco Manno and Salvatore Corrao
Biomedicines 2024, 12(4), 900; https://doi.org/10.3390/biomedicines12040900 - 18 Apr 2024
Cited by 1 | Viewed by 2184
Abstract
Despite the advent of innovative therapies in the treatment of diabetes, ever-increasing awareness is still directed to the role of insulin since it has continued to be at the centre of diabetes therapy for decades, as a therapeutic integration of innovative agents in [...] Read more.
Despite the advent of innovative therapies in the treatment of diabetes, ever-increasing awareness is still directed to the role of insulin since it has continued to be at the centre of diabetes therapy for decades, as a therapeutic integration of innovative agents in type 2 diabetes mellitus (T2DM), as the only replacement therapy in type 1 diabetes mellitus (T1DM) and also in gestational diabetes. In this context, the study of molecules such as weekly basal insulins, both for their technological and pharmacodynamic innovation and their manageability and undoubted benefits in compliance with drug therapy, can only be a turning point in diabetes and for all its phenotypes. This review aims to provide insight into the knowledge of basal weekly insulins and their use in type 1 and 2 diabetes mellitus by examining their safety, efficacy, manageability and increased therapeutic compliance. Full article
(This article belongs to the Special Issue New Advances in Insulin—100 Years since Its Discovery)
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<p>Schematic structure of basal weekly insulin Fc (BIF).</p>
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<p>Basal weekly insulin Fc (BIF) pharmacokinetic profile.</p>
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<p>Schematic description and biological properties of basal weekly insulin icodec. The insulin icodec structure shows changes to the human insulin amino acid sequence and chemical modification attached to the lysine in position B29 of insulin.</p>
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<p>Pharmacokinetic properties (steady state) of weekly insulin.</p>
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13 pages, 1902 KiB  
Article
Optimal Volume Assessment for Serous Fluid Cytology
by Konstantinos Christofidis, Maria Theochari, Stylianos Mavropoulos Papoudas, Lamprini Kiohou, Stylianos Sousouris, Areti Dimitriadou, Nikolaos Volakakis, Nicoletta Maounis and Panagiota Mikou
Biomedicines 2024, 12(4), 899; https://doi.org/10.3390/biomedicines12040899 - 18 Apr 2024
Cited by 1 | Viewed by 2309
Abstract
Objective: This study aimed to investigate the optimal volume of serous fluid needed for accurate diagnosis using The International System for Reporting Serous Fluid Cytopathology (TIS), as well as to provide information on the distribution of serous effusion cases in the TIS categories [...] Read more.
Objective: This study aimed to investigate the optimal volume of serous fluid needed for accurate diagnosis using The International System for Reporting Serous Fluid Cytopathology (TIS), as well as to provide information on the distribution of serous effusion cases in the TIS categories (ND: non-diagnostic, NFM: negative for malignancy, AUS: atypia of undetermined significance, SFM: suspicious for malignancy, MAL: malignant) and relevant epidemiological data. Methods: A retrospective analysis of 2340 serous effusion cases (pleural, peritoneal, and pericardial) from two hospitals between 2018 and 2020 was conducted. TIS categories were assigned to each case, and for 1181 cases, these were correlated with the volume of the analyzed fluid. Results: Our study found statistically significant differences in volume distributions between certain TIS categories. Statistically lower volumes were observed in NFM compared to MAL, in UNCERTAIN (ND, AUS, SFM) compared to both MAL and NFM, and in NOT MAL (ND, NFM, AUS, SFM) compared to MAL. However, these differences were not substantial enough to hold any clinical relevance. Conclusions: This study suggests that while fluid volume may slightly influence the TIS category, it does not impact the diagnostic accuracy of serous effusion cytology. Therefore, the ideal serous effusion specimen volume can be defined solely by practical parameters. Full article
(This article belongs to the Special Issue Next Generation Cytopathology: Current Status and Future Prospects)
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<p>Malignant pleural effusions: tumor type/origin. The most common site of origin/type of neoplasm is lung carcinoma, followed by breast carcinoma, mesothelioma, and lymphoma.</p>
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<p>Malignant peritoneal effusions: tumor type/origin. The most common site of origin/type of neoplasm is ovarian carcinoma, followed by stomach, breast and colon adenocarcinomas.</p>
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<p>Boxplots of TIS~volume.</p>
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<p>Boxplots of TIS~volume for MAL and NFM.</p>
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<p>Boxplots of TIS~volume for MAL, NFM, and UNCERTAIN.</p>
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<p>Boxplots of TIS~volume for MAL and NOT MAL.</p>
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