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17 pages, 698 KiB  
Review
Gut Microbiota in Patients Receiving Dialysis: A Review
by Xintian Lim, Lijin Ooi, Uzhe Ding, Henry H. L. Wu and Rajkumar Chinnadurai
Pathogens 2024, 13(9), 801; https://doi.org/10.3390/pathogens13090801 (registering DOI) - 15 Sep 2024
Abstract
The human gut microbiota constitutes a complex community of microorganisms residing within the gastrointestinal tract, encompassing a vast array of species that play crucial roles in health and disease. The disease processes involved in chronic kidney disease (CKD) and end-stage kidney disease (ESKD) [...] Read more.
The human gut microbiota constitutes a complex community of microorganisms residing within the gastrointestinal tract, encompassing a vast array of species that play crucial roles in health and disease. The disease processes involved in chronic kidney disease (CKD) and end-stage kidney disease (ESKD) are now increasingly established to result in dysregulation of gut microbiota composition and function. Gut microbiota dysbiosis has been associated with poor clinical outcomes and all-cause mortality in patients with ESKD, particularly individuals receiving dialysis. Prior studies highlighted various factors that affect gut microbiota dysbiosis in CKD and ESKD. These include, but are not limited to, uraemic toxin accumulation, chronic inflammation, immune dysfunction, medications, and dietary restrictions and nutritional status. There is a lack of studies at present that focus on the evaluation of gut microbiota dysbiosis in the context of dialysis. Knowledge on gut microbiota changes in this context is important for determining their impact on dialysis-specific and overall outcomes for this patient cohort. More importantly, evaluating gut microbiota composition can provide information into potential targets for therapeutic intervention. Identification of specific microbial signatures may result in further development of personalised treatments to improve patient outcomes and mitigate complications during dialysis. Optimising gut microbiota through various therapeutic approaches, including dietary adjustments, probiotics, prebiotics, medications, and faecal transplantation, have previously demonstrated potential in multiple medical conditions. It remains to be seen whether these therapeutic approaches are effective within the dialysis setting. Our review aims to evaluate evidence relating to alterations in the gut microbiota of patients undergoing dialysis. A growing body of evidence pointing to the complex yet significant relationship which surrounds gut microbiota and kidney health emphasises the importance of gut microbial balance to improve outcomes for individuals receiving dialysis. Full article
(This article belongs to the Special Issue Molecular Epidemiology of Pathogenic Agents)
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<p>Key factors that may explain gut dysbiosis in patients receiving dialysis. PBUT: protein-bound uraemic toxin; IS: indoxyl sulfate; PCS: P-cresyl sulfate; SCFAs: short-chain fatty acids; TMAO: trimethylamine N-oxide; PPI: proton pump inhibitor.</p>
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15 pages, 634 KiB  
Perspective
Does Vitamin B6 Act as an Exercise Mimetic in Skeletal Muscle?
by Norihisa Kato, Yongshou Yang, Chanikan Bumrungkit and Thanutchaporn Kumrungsee
Int. J. Mol. Sci. 2024, 25(18), 9962; https://doi.org/10.3390/ijms25189962 (registering DOI) - 15 Sep 2024
Abstract
Marginal vitamin B6 (B6) deficiency is common in various segments worldwide. In a super-aged society, sarcopenia is a major concern and has gained significant research attention focused on healthy aging. To date, the primary interventions for sarcopenia have been physical exercise therapy. Recent [...] Read more.
Marginal vitamin B6 (B6) deficiency is common in various segments worldwide. In a super-aged society, sarcopenia is a major concern and has gained significant research attention focused on healthy aging. To date, the primary interventions for sarcopenia have been physical exercise therapy. Recent evidence suggests that inadequate B6 status is associated with an increased risk of sarcopenia and mortality among older adults. Our previous study showed that B6 supplementation to a marginal B6-deficient diet up-regulated the expression of various exercise-induced genes in the skeletal muscle of rodents. Notably, a supplemental B6-to-B6-deficient diet stimulates satellite cell-mediated myogenesis in rodents, mirroring the effects of physical exercise. These findings suggest the potential role of B6 as an exercise-mimetic nutrient in skeletal muscle. To test this hypothesis, we reviewed relevant literature and compared the roles of B6 and exercise in muscles. Here, we provide several pieces of evidence supporting this hypothesis and discuss the potential mechanisms behind the similarities between the effects of B6 and exercise on muscle. This research, for the first time, provides insight into the exercise-mimetic roles of B6 in skeletal muscle. Full article
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<p>Potential roles of B6 as an exercise-mimetic in skeletal muscle. <b><span style="color:red">↑</span></b>: up-regulation, <b><span style="color:blue">↓</span></b>: down-regulation.</p>
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15 pages, 479 KiB  
Article
Impact of Newly Diagnosed Left Bundle Branch Block on Long-Term Outcomes in Patients with STEMI
by Larisa Anghel, Cristian Stătescu, Radu Andy Sascău, Bogdan-Sorin Tudurachi, Andreea Tudurachi, Laura-Cătălina Benchea, Cristina Prisacariu and Rodica Radu
J. Clin. Med. 2024, 13(18), 5479; https://doi.org/10.3390/jcm13185479 (registering DOI) - 15 Sep 2024
Abstract
Background/Objectives: This study assessed the long-term prognostic implications of newly developed left bundle branch block (LBBB) in patients with ST-elevation myocardial infarction (STEMI) and a single coronary lesion, following primary percutaneous coronary intervention (PCI). Methods: Among 3526 patients admitted with acute myocardial [...] Read more.
Background/Objectives: This study assessed the long-term prognostic implications of newly developed left bundle branch block (LBBB) in patients with ST-elevation myocardial infarction (STEMI) and a single coronary lesion, following primary percutaneous coronary intervention (PCI). Methods: Among 3526 patients admitted with acute myocardial infarction between January 2011 and December 2013, 42 were identified with STEMI, a single coronary lesion, and newly diagnosed LBBB. A control group of 42 randomly selected STEMI patients without LBBB was also included. All participants were prospectively evaluated with a median follow-up duration of 9.4 years. Demographic, clinical, and laboratory data were analyzed to assess the impact of LBBB on long-term outcomes. Results: The baseline characteristics were similar between the groups. The STEMI with new LBBB group had significantly higher rates of new myocardial infarction, revascularization, and mortality, highlighting the severe prognostic implications and elevated risk for adverse outcomes compared to STEMI without LBBB. The multivariate Cox regression analysis demonstrated that the presence of LBBB (HR: 2.15, 95% CI: 1.28–3.62, p = 0.003), lower LVEF (HR: 1.45, 95% CI: 1.22–1.72, p < 0.001), and longer pain-to-admission time (HR: 1.32, 95% CI: 1.09–1.61, p = 0.008) were significant independent predictors of adverse outcomes. Conclusions: Newly acquired LBBB in STEMI patients is associated with poorer long-term outcomes. Early identification and management of factors such as reduced LVEF and timely hospital admission, specifically in patients with new-onset LBBB, can improve prognosis. Full article
(This article belongs to the Special Issue Clinical Management of Patients with Heart Failure)
13 pages, 1096 KiB  
Article
Fibrosis-4 Score Is Associated with Mortality in Hemodialysis Patients with Chronic Viral Hepatitis: A Retrospective Study
by Hao-Hsuan Liu, Chieh-Li Yen, Wen-Juei Jeng, Cheng-Chieh Hung, Ching-Chung Hsiao, Ya-Chung Tian and Kuan-Hsing Chen
Diagnostics 2024, 14(18), 2048; https://doi.org/10.3390/diagnostics14182048 (registering DOI) - 15 Sep 2024
Abstract
BACKGROUND: Chronic hepatitis B and C infections are major causes of morbidity and mortality in end-stage kidney disease (ESKD) patients on hemodialysis (HD). The Fibrosis-4 (FIB-4) score is a non-invasive method to evaluate chronic liver disease. However, it is unclear whether there is [...] Read more.
BACKGROUND: Chronic hepatitis B and C infections are major causes of morbidity and mortality in end-stage kidney disease (ESKD) patients on hemodialysis (HD). The Fibrosis-4 (FIB-4) score is a non-invasive method to evaluate chronic liver disease. However, it is unclear whether there is a connection between the FIB-4 score and major adverse cardiovascular events (MACEs) and mortality in patients on HD. This study investigates the relationship between FIB-4 scores, MACEs, and mortality in HD patients. METHODS: A 5-year retrospective study included 198 HD patients with chronic hepatitis B and C from Chang Gung Memorial Hospital. FIB-4 scores were categorized into high (>2.071), middle (1.030~2.071), and low (<1.030) tertiles for cross-sectional analyses. MACEs and mortality were tracked longitudinally. RESULTS: Patients with high FIB-4 scores had lower hemoglobin and albumin levels. Cox multivariate analysis showed that high FIB-4 scores (aHR: 1.589) and diabetes mellitus (aHR: 5.688) were significant factors for all-cause mortality. The optimal FIB-4 score for 5-year mortality was 2.942. FIB-4 scores were not significant for predicting 5-year MACEs. CONCLUSIONS: High FIB-4 scores are associated with increased 5-year all-cause mortality risk in HD patients with chronic hepatitis virus infection. Full article
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)
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<p>Flowchart of included patients in this study.</p>
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<p>ROC curve and AUC of the FIB-4 score for identifying 5-year mortality. ROC curve: receiver operating characteristic curve; AUC: area under the curve; FIB-4 score: Fibrosis-4 score.</p>
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<p>Kaplan–Meier plot with the diagnostic point of the FIB-4 score (2.942) for identifying 5-year mortality. Group 1: FIB-4 score ≥ 2.942; Group 2: FIB-4 score &lt; 2.942.</p>
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33 pages, 3210 KiB  
Review
Diet and Nutrients in Rare Neurological Disorders: Biological, Biochemical, and Pathophysiological Evidence
by Marilena Briglia, Fabio Allia, Rosanna Avola, Cinzia Signorini, Venera Cardile, Giovanni Luca Romano, Giovanni Giurdanella, Roberta Malaguarnera, Maria Bellomo and Adriana Carol Eleonora Graziano
Nutrients 2024, 16(18), 3114; https://doi.org/10.3390/nu16183114 (registering DOI) - 15 Sep 2024
Abstract
Background/Objectives: Rare diseases are a wide and heterogeneous group of multisystem life-threatening or chronically debilitating clinical conditions with reduced life expectancy and a relevant mortality rate in childhood. Some of these disorders have typical neurological symptoms, presenting from birth to adulthood. Dietary [...] Read more.
Background/Objectives: Rare diseases are a wide and heterogeneous group of multisystem life-threatening or chronically debilitating clinical conditions with reduced life expectancy and a relevant mortality rate in childhood. Some of these disorders have typical neurological symptoms, presenting from birth to adulthood. Dietary patterns and nutritional compounds play key roles in the onset and progression of neurological disorders, and the impact of alimentary needs must be enlightened especially in rare neurological diseases. This work aims to collect the in vitro, in vivo, and clinical evidence on the effects of diet and of nutrient intake on some rare neurological disorders, including some genetic diseases, and rare brain tumors. Herein, those aspects are critically linked to the genetic, biological, biochemical, and pathophysiological hallmarks typical of each disorder. Methods: By searching the major web-based databases (PubMed, Web of Science Core Collection, DynaMed, and Clinicaltrials.gov), we try to sum up and improve our understanding of the emerging role of nutrition as both first-line therapy and risk factors in rare neurological diseases. Results: In line with the increasing number of consensus opinions suggesting that nutrients should receive the same attention as pharmacological treatments, the results of this work pointed out that a standard dietary recommendation in a specific rare disease is often limited by the heterogeneity of occurrent genetic mutations and by the variability of pathophysiological manifestation. Conclusions: In conclusion, we hope that the knowledge gaps identified here may inspire further research for a better evaluation of molecular mechanisms and long-term effects. Full article
(This article belongs to the Special Issue The Effect of Nutrients on Neurological Disorders)
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<p>Main characteristics of rare neurological diseases and possible investigations for symptomatic treatments (created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 3 September 2024).</p>
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<p>Factors that influence alimentary wellness by modulator effects on the main homeostatic functions (created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 27 June 2024).</p>
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<p><span class="html-italic">In vitro</span> models as tools in rare neurological disease research and therapeutic development (partially created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 7 August 2024).</p>
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<p>Animal models for rare neurological diseases (created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 3 September 2024).</p>
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<p>MeCP2 gene structure and its activity on target genes. The meCP2 gene has N-terminal (NTD); methyl binding (MBD); intervening (ID); transcription repression (TRD); and C-terminal (CTD) domains. MeCP2 recruits a transcriptional corepressor complex containing Sin3A and histone deacetylase (HDAC) to methylated CpG islands and induces transcription inhibition in the target gene (TRD, transcriptional repression domain; MBD, methyl-CpG-binding domain). MeCP2 can activate gene transcription by recruiting CREB and other transcriptional factors to non-methylated CG DNA regions (partially created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>, accessed on 10 August 2024).</p>
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9 pages, 1639 KiB  
Article
Drinking Water Quality in Delta and Non-Delta Counties along the Mississippi River
by Emily V. Pickering, Chunrong Jia and Abu Mohd Naser
Water 2024, 16(18), 2622; https://doi.org/10.3390/w16182622 (registering DOI) - 15 Sep 2024
Abstract
The Mississippi Delta region has worse population health outcomes, including higher overall cardiovascular and infant mortality rates. Water quality has yet to be considered as a factor in these health disparities. The objective of this paper is to determine overall differences in basic [...] Read more.
The Mississippi Delta region has worse population health outcomes, including higher overall cardiovascular and infant mortality rates. Water quality has yet to be considered as a factor in these health disparities. The objective of this paper is to determine overall differences in basic water quality indicators, electrolytes of cardiovascular importance, trace elements, heavy metals, and radioactive ions of groundwater in delta and non-delta counties in states along the Mississippi River. Data were sourced from the major-ions dataset of the U.S. Geological Survey. We used the Wilcoxon rank sum test to determine the difference in water quality parameters. Overall, delta counties had lower total dissolved solids (TDS) (47 and 384 mg/L, p-value < 0.001), calcium (7 and 58 mg/L; p-value < 0.001), magnesium (2 and 22 mg/L; p-value < 0.001), and potassium (1.57 and 1.80 mg/L; p-value < 0.001) and higher sodium (38 mg/L and 22 mg/L; p-value < 0.001) compared to non-delta counties. Overall, there were no statistical differences in trace elements, heavy metals, and radioactive ions across delta versus non-delta counties. These results underscore the need for further epidemiological studies to understand if worse health outcomes in delta counties could be partially explained by these parameters. Full article
(This article belongs to the Section Water Quality and Contamination)
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<p>Boxplots comparing basic water quality parameters in delta versus non-delta counties across eight delta states. Statistical significance is represented above each corresponding boxplot where one star (*) represents <span class="html-italic">p</span>-value &lt; 0.05, two stars (**) represent <span class="html-italic">p</span>-value &lt; 0.01, three stars (***) represent <span class="html-italic">p</span>-value &lt; 0.001, four stars (****) represents <span class="html-italic">p</span>-value &lt; 0.0001, and ns represents non-significance. The dots above the solid lines (whiskers) indicate outliers.</p>
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<p>Boxplots comparing major electrolytes concentrations in delta versus non-delta counties across eight delta states. Statistical significance is represented above each corresponding boxplot where one star (*) represents <span class="html-italic">p</span>-value &lt; 0.05, two stars (**) represent <span class="html-italic">p</span>-value &lt; 0.01, three stars (***) represent <span class="html-italic">p</span>-value &lt; 0.001, four stars (****) represent <span class="html-italic">p</span>-value &lt; 0.0001, and ns represents non-significance.</p>
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<p>Boxplots comparing trace element concentrations in delta versus non-delta counties across eight delta states. Statistical significance is represented above each corresponding boxplot where one star (*) represents <span class="html-italic">p</span>-value &lt; 0.05, two stars (**) represent <span class="html-italic">p</span>-value &lt; 0.01, three stars (***) represent <span class="html-italic">p</span>-value &lt; 0.001, and ns represents non-significance.</p>
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<p>Boxplots comparing heavy metals and radioactive ion concentrations in delta versus non-delta counties across eight delta states. Statistical significance is represented above each corresponding boxplot where one star (*) represents <span class="html-italic">p</span>-value &lt; 0.05, two stars (**) represents <span class="html-italic">p</span>-value &lt; 0.01, three stars (***) represents <span class="html-italic">p</span>-value &lt; 0.001, four stars (****) represents <span class="html-italic">p</span>-value &lt; 0.0001, and ns represents non-significance.</p>
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16 pages, 1686 KiB  
Article
Clinical Outcomes and Cost Analysis in Patients with Heart Failure Undergoing Transcatheter Edge-to-Edge Repair for Mitral Valve Regurgitation
by Aleksander Dokollari, Serge Sicouri, Roberto Rodriguez, Eric Gnall, Paul Coady, Farah Mahmud, Stephanie Kjelstrom, Georgia Montone, Yoshiyuki Yamashita, Jarrett Harish, Beatrice Bacchi, Rakesh C Arora, Ashish Shah, Nitin Ghorpade, Sandra Abramson, Katie Hawthorne, Scott Goldman, William Gray, Francesco Cabrucci, Massimo Bonacchi and Basel Ramlawiadd Show full author list remove Hide full author list
J. Pers. Med. 2024, 14(9), 978; https://doi.org/10.3390/jpm14090978 (registering DOI) - 15 Sep 2024
Abstract
Objective: To analyze the clinical and cost outcomes of transcatheter edge-to-edge repair (TEER) for mitral regurgitation (MR) in heart failure (HF) patients. Methods: All 162 HF patients undergoing TEER for MR between January 2019 and March 2023 were included. A propensity-adjusted analysis was [...] Read more.
Objective: To analyze the clinical and cost outcomes of transcatheter edge-to-edge repair (TEER) for mitral regurgitation (MR) in heart failure (HF) patients. Methods: All 162 HF patients undergoing TEER for MR between January 2019 and March 2023 were included. A propensity-adjusted analysis was used to compare 32 systolic vs. 97 diastolic vs. 33 mixed (systolic + diastolic) HF patients. Systolic, diastolic, and mixed HF patients were defined according to AHA guidelines. The primary outcome was the long-term incidence of all-cause death and major adverse cardiovascular and cerebrovascular events (MACCEs, all-cause mortality + stroke + myocardial infarction + repeat intervention). Results: The mean age was 76.3 vs. 80.9 vs. 76 years old, and the mean ejection fraction (EF) was 39.5% vs. 59.8% vs. 39.7% in systolic vs. diastolic vs. mixed HF, respectively. Postoperatively, the diastolic vs. systolic HF group had a higher intensive care unit stay (21 vs. 0 h; HR 67.5 (23.7, 111.4)]; lower ventilation time [2 vs. 2.3 h; HR 49.4 (8.6, 90.2)]; lower EF [38% vs. 58.5%; HR 9.9 (3.7, 16.1)]. In addition, the diastolic vs. mixed HF groups had a lower incidence of EF < 50% (11 vs. 27 patients; HR 6.6 (1.6, 27.3) and a lower use of dialysis (one vs. three patients; HR 18.1 (1.1, 287.3), respectively. At a mean 1.6 years follow-up, all-cause death [HR 39.8 (26.2, 60.5)], MACCEs [HR 50.3 (33.7–75.1)], and new pacemaker implantations [HR 17.3 (8.7, 34.6)] were higher in the mixed group. There was no significant total hospital cost difference among the systolic (USD 106,859) vs. diastolic (USD 91,731) vs. mixed (USD 120,522) HF groups (p = 0.08). Conclusions: TEER for MR evidenced the worst postoperative and follow-up clinical outcomes in the mixed HF group compared to diastolic and systolic HF groups. No total hospital cost differences were observed. Full article
(This article belongs to the Special Issue Heart Valve Disease: Latest Advances and Prospects)
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<p>Propensity-adjusted survival and cumulative incidence curves. Legend: All-cause mortality—MACCEs—Cardiac Death—Myocardial Infarction—Stroke—Repeat intervention Curve.</p>
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<p>HR for all-cause mortality. Dash-lines are deviations from the mean.</p>
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<p>HR for MACCEs; stroke; MI; repeat intervention. Dash-lines are deviations from the mean.</p>
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24 pages, 2304 KiB  
Systematic Review
Targeting NETosis in Acute Brain Injury: A Systematic Review of Preclinical and Clinical Evidence
by Marzia Savi, Fuhong Su, Elda Diletta Sterchele, Elisa Gouvêa Bogossian, Zoé Demailly, Marta Baggiani, Giuseppe Stefano Casu and Fabio Silvio Taccone
Cells 2024, 13(18), 1553; https://doi.org/10.3390/cells13181553 (registering DOI) - 14 Sep 2024
Viewed by 360
Abstract
Acute brain injury (ABI) remains one of the leading causes of death and disability world-wide. Its treatment is challenging due to the heterogeneity of the mechanisms involved and the variability among individuals. This systematic review aims at evaluating the impact of anti-histone treatments [...] Read more.
Acute brain injury (ABI) remains one of the leading causes of death and disability world-wide. Its treatment is challenging due to the heterogeneity of the mechanisms involved and the variability among individuals. This systematic review aims at evaluating the impact of anti-histone treatments on outcomes in ABI patients and experimental animals and defining the trend of nucleosome levels in biological samples post injury. We performed a search in Pubmed/Medline and Embase databases for randomized controlled trials and cohort studies involving humans or experimental settings with various causes of ABI. We formulated the search using the PICO method, considering ABI patients or animal models as population (P), comparing pharmacological and non-pharmacological therapy targeting the nucleosome as Intervention (I) to standard of care or no treatment as Control (C). The outcome (O) was mortality or functional outcome in experimental animals and patients affected by ABI undergoing anti-NET treatments. We identified 28 studies from 1246 articles, of which 7 were experimental studies and 21 were human clinical studies. Among these studies, only four assessed the effect of anti-NET therapy on circulating markers. Three of them were preclinical and reported better outcome in the interventional arm compared to the control arm. All the studies observed a significant reduction in circulating NET-derived products. NETosis could be a target for new treatments. Monitoring NET markers in blood and cerebrospinal fluid might predict mortality and long-term outcomes. However, longitudinal studies and randomized controlled trials are warranted to fully evaluate their potential, as current evidence is limited. Full article
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<p>PRISMA flowchart of the review.</p>
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<p>Summary of preclinical and clinical findings and future directions for the clinical application of research on NETosis (illustration created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>). Acronyms: NET: neutrophil extracellular trap; ABI: acute brain injury; TBI: traumatic brain injury; SAH: subarachnoid aneurysmal haemorrhage; MPO-DNA: myeloperoxidase-deoxy-ribonuclease acid; CSF: cerebral spinal fluid.</p>
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<p>The main pathways of NET formation involved in neuroinflammation (illustration created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>).</p>
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30 pages, 9406 KiB  
Article
Potential Use and Chemical Analysis of Some Natural Plant Extracts for Controlling Listeria spp. Growth In Vitro and in Food
by Abdul-Raouf Al-Mohammadi, Seham Abdel-Shafi, Ahmed H. Moustafa, Nehal Fouad, Gamal Enan and Rehab A. Ibrahim
Foods 2024, 13(18), 2915; https://doi.org/10.3390/foods13182915 (registering DOI) - 14 Sep 2024
Viewed by 343
Abstract
Listeria are Gram-negative intracellular foodborne pathogens that can cause invasive infections with high mortality rates. In this work, the antibacterial activity of ten essential oils, infusion extracts, and decoction extracts of some medicinal plants was tested against Listeria monocytogenes and listeria ivanovii strains. [...] Read more.
Listeria are Gram-negative intracellular foodborne pathogens that can cause invasive infections with high mortality rates. In this work, the antibacterial activity of ten essential oils, infusion extracts, and decoction extracts of some medicinal plants was tested against Listeria monocytogenes and listeria ivanovii strains. The effects of different physical conditions including temperature, pH, sodium chloride, and some organic acids were studied. The results showed that the water extracts gave the maximum bacterial inhibition, while ethanolic extract was inactive against the tested Listeria spp. The antibiotic sensitivity of L. monocytogenes LMG10470 and L. ivanovii LMZ11352 was tested against five antibiotics including imipenem, levofloxacin, amikacin, ampicillin, and amoxicillin. Imipenem was the most effective antibiotic, resulting in inhibition zones of 40 mm and 31 mm for L. monocytogenes and L. ivanovii, respectively. When imipenem mixed with Syzygium aromaticum oil, Salvia officinalis oil, Pimpinella anisum infusion, and Mentha piperita infusion each, the water extract of Moringa oleifera leaves and seeds against LMG10470 and LMZ11352 resulted in broader antibacterial activity. The antimicrobial activity of both Pimpinella anisum and Mentha piperita plant extracts is related to a variety of bioactive compounds indicated by gas chromatography–mass spectrometry analysis of these two plant extracts. These two plant extracts seemed to contain many chemical compounds elucidated by gas chromatography–mass spectrometry (GC-MS) and infrared radiation spectra. These compounds could be classified into different chemical groups such as ethers, heterocyclic compounds, aromatic aldehydes, condensed heterocyclic compounds, ketones, alicyclic compounds, aromatics, esters, herbicides, saturated fatty acids, and unsaturated fatty acids. The use of these natural compounds seems to be a useful technological adjuvant for the control of Listeria spp. in foods. Full article
(This article belongs to the Special Issue Detection and Control of Food-Borne Pathogens)
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<p>Thermal death point of <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 after 15 min of exposure to different temperatures different temperature exposure.</p>
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<p>Effect of different pH values on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of different NaCl concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of citric acid concentration on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of oxalic acid concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Effect of salicylic acid concentrations on <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 growth.</p>
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<p>Antibacterial activity of different concentrations of infusion extracts of <span class="html-italic">Mentha piperita</span> and <span class="html-italic">Pimpinella anisum</span> against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 by the disc assay method. The numbers 1, 2, 3, 4, and 5 show inhibition zone diameters of 10%, 25%, 50%, 75%, and 100%.</p>
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<p>Growth curves of (<b>A</b>) Pimpinella anisum, (<b>B</b>) Mentha piperita, (<b>C</b>) Zingiber officinalis, (<b>D</b>) Rosemarinus officinalis, (<b>E</b>) Salvia officinalis, and (<b>F</b>) Martricaria chamomilla against L. monocytogenes LMG10470 in nutrient broth incubated at 37 °C for 24 h.</p>
Full article ">Figure 8 Cont.
<p>Growth curves of (<b>A</b>) Pimpinella anisum, (<b>B</b>) Mentha piperita, (<b>C</b>) Zingiber officinalis, (<b>D</b>) Rosemarinus officinalis, (<b>E</b>) Salvia officinalis, and (<b>F</b>) Martricaria chamomilla against L. monocytogenes LMG10470 in nutrient broth incubated at 37 °C for 24 h.</p>
Full article ">Figure 9
<p>Growth curves of (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Mentha piperita</span>, (<b>C</b>) <span class="html-italic">Zingiber officinalis</span>, (<b>D</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>E</b>) <span class="html-italic">Salvia officinalis</span>, and (<b>F</b>) <span class="html-italic">Martricaria chamomilla</span> against <span class="html-italic">L. ivanovii</span> LMZ11352 in nutrient broth incubated at 37 °C for 24 h.</p>
Full article ">Figure 9 Cont.
<p>Growth curves of (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Mentha piperita</span>, (<b>C</b>) <span class="html-italic">Zingiber officinalis</span>, (<b>D</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>E</b>) <span class="html-italic">Salvia officinalis</span>, and (<b>F</b>) <span class="html-italic">Martricaria chamomilla</span> against <span class="html-italic">L. ivanovii</span> LMZ11352 in nutrient broth incubated at 37 °C for 24 h.</p>
Full article ">Figure 10
<p>Quantitative inhibition of decoction extract of the test medicinal plants against <span class="html-italic">L. monocytogenes</span> LMG10470. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
Full article ">Figure 10 Cont.
<p>Quantitative inhibition of decoction extract of the test medicinal plants against <span class="html-italic">L. monocytogenes</span> LMG10470. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
Full article ">Figure 11
<p>Quantitative inhibition of decoction extract of test medicinal plants against <span class="html-italic">L. ivanovii</span> LMZ11352. (<b>A</b>) <span class="html-italic">Pimpinella anisum</span>, (<b>B</b>) <span class="html-italic">Rosemarinus officinalis</span>, (<b>C</b>) <span class="html-italic">Cinnamum zeylanieum</span>, and (<b>D</b>) <span class="html-italic">Syzygium aromaticum</span>.</p>
Full article ">Figure 12
<p>Antibacterial activity of <span class="html-italic">Moringa oleifera</span> extracts (leaves) against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 using disc assay and agar well diffusion methods. WE: water extract of leaves. ME: methanol extract of leaves.</p>
Full article ">Figure 13
<p>Antibacterial activity of <span class="html-italic">Moringa oleifera</span> extracts (Seeds) against <span class="html-italic">L. monocytogenes</span> LMG10470 and <span class="html-italic">L. ivanovii</span> LMZ11352 using disc assay and agar well diffusion methods. WE: water extract of seeds. ME: methanol extract of seeds.</p>
Full article ">Figure 14
<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. monocytogenes</span> by the disc assay method. (<b>A</b>) imipenem against <span class="html-italic">L. monocytogenes</span>. (<b>B</b>) (imipenem–natural extract) mixture combination against <span class="html-italic">L. monocytogenes</span>. (<b>C</b>) natural extract against <span class="html-italic">L. monocytogenes</span>.</p>
Full article ">Figure 14 Cont.
<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. monocytogenes</span> by the disc assay method. (<b>A</b>) imipenem against <span class="html-italic">L. monocytogenes</span>. (<b>B</b>) (imipenem–natural extract) mixture combination against <span class="html-italic">L. monocytogenes</span>. (<b>C</b>) natural extract against <span class="html-italic">L. monocytogenes</span>.</p>
Full article ">Figure 15
<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. ivanovii</span> by the disc assay method. (<b>A</b>): imipenem against <span class="html-italic">L. ivanovii</span>. (<b>B</b>): (imipenem—natural extract) mixture combination against <span class="html-italic">L. ivanovii.</span> (<b>C</b>): natural extract against <span class="html-italic">L. ivanovii</span>.</p>
Full article ">Figure 15 Cont.
<p>Antibacterial activity of mixed combinations of natural extracts and an antibiotic (imipenem) against <span class="html-italic">L. ivanovii</span> by the disc assay method. (<b>A</b>): imipenem against <span class="html-italic">L. ivanovii</span>. (<b>B</b>): (imipenem—natural extract) mixture combination against <span class="html-italic">L. ivanovii.</span> (<b>C</b>): natural extract against <span class="html-italic">L. ivanovii</span>.</p>
Full article ">Figure 16
<p>IR spectrum of <span class="html-italic">Pimpinella anisum.</span> Growth of <span class="html-italic">L. monocytogenes</span> LMG10470 (CFU/mL) in the presence of <span class="html-italic">L. delbreukii</span> subsp. <span class="html-italic">bulgaricus</span> Z55, <span class="html-italic">E. faecium</span> NM2, and <span class="html-italic">L. plantarum</span> LPS10 in vitro.</p>
Full article ">Figure 17
<p>IR spectrum of <span class="html-italic">Mentha pipertia</span>.</p>
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15 pages, 2673 KiB  
Systematic Review
Timing of Tracheostomy in ICU Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
by Raffaele Merola, Carmine Iacovazzo, Stefania Troise, Annachiara Marra, Antonella Formichella, Giuseppe Servillo and Maria Vargas
Life 2024, 14(9), 1165; https://doi.org/10.3390/life14091165 (registering DOI) - 14 Sep 2024
Viewed by 237
Abstract
Background: The ideal timing for tracheostomy in critically ill patients is still debated. This systematic review and meta-analysis examined whether early tracheostomy improves clinical outcomes compared to late tracheostomy or prolonged intubation in critically ill patients on mechanical ventilation. Methods: We conducted a [...] Read more.
Background: The ideal timing for tracheostomy in critically ill patients is still debated. This systematic review and meta-analysis examined whether early tracheostomy improves clinical outcomes compared to late tracheostomy or prolonged intubation in critically ill patients on mechanical ventilation. Methods: We conducted a comprehensive search of randomized controlled trials (RCTs) assessing the risk of clinical outcomes in intensive care unit (ICU) patients who underwent early (within 7–10 days of intubation) versus late tracheostomy or prolonged intubation. Databases searched included PubMed, Embase, and the Cochrane Library up to June 2023. The primary outcome evaluated was mortality, while secondary outcomes included the incidence of ventilator-associated pneumonia (VAP), ICU length of stay, and duration of mechanical ventilation. No language restriction was applied. Eligible studies were RCTs comparing early to late tracheostomy or prolonged intubation in critically ill patients that reported on mortality. The risk of bias was evaluated using the Cochrane Risk of Bias Tool for RCTs, and evidence certainty was assessed via the GRADE approach. Results: This systematic review and meta-analysis included 19 RCTs, covering 3586 critically ill patients. Early tracheostomy modestly decreased mortality compared to the control (RR −0.1511 [95% CI: −0.2951 to −0.0070], p = 0.0398). It also reduced ICU length of stay (SMD −0.6237 [95% CI: −0.9526 to −0.2948], p = 0.0002) and the duration of mechanical ventilation compared to late tracheostomy (SMD −0.3887 [95% CI: −0.7726 to −0.0048], p = 0.0472). However, early tracheostomy did not significantly reduce the duration of mechanical ventilation compared to prolonged intubation (SMD −0.1192 [95% CI: −0.2986 to 0.0601], p = 0.1927) or affect VAP incidence (RR −0.0986 [95% CI: −0.2272 to 0.0299], p = 0.1327). Trial sequential analysis (TSA) for each outcome indicated that additional trials are needed for conclusive evidence. Conclusions: Early tracheostomy appears to offer some benefits across all considered clinical outcomes when compared to late tracheostomy and prolonged intubation. Full article
(This article belongs to the Special Issue New Trends in Otorhinolaryngology)
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Figure 1

Figure 1
<p>PRISMA 2020 flow diagram for new systematic reviews.</p>
Full article ">Figure 2
<p>Forest plot of estimated risk ratio comparing risk of mortality in the early tracheostomy vs. control group [<a href="#B10-life-14-01165" class="html-bibr">10</a>,<a href="#B12-life-14-01165" class="html-bibr">12</a>,<a href="#B13-life-14-01165" class="html-bibr">13</a>,<a href="#B20-life-14-01165" class="html-bibr">20</a>,<a href="#B21-life-14-01165" class="html-bibr">21</a>,<a href="#B22-life-14-01165" class="html-bibr">22</a>,<a href="#B23-life-14-01165" class="html-bibr">23</a>,<a href="#B24-life-14-01165" class="html-bibr">24</a>,<a href="#B25-life-14-01165" class="html-bibr">25</a>,<a href="#B26-life-14-01165" class="html-bibr">26</a>,<a href="#B27-life-14-01165" class="html-bibr">27</a>,<a href="#B28-life-14-01165" class="html-bibr">28</a>,<a href="#B29-life-14-01165" class="html-bibr">29</a>,<a href="#B30-life-14-01165" class="html-bibr">30</a>,<a href="#B32-life-14-01165" class="html-bibr">32</a>,<a href="#B33-life-14-01165" class="html-bibr">33</a>].</p>
Full article ">Figure 3
<p>Forest plot of estimated risk ratio comparing risk of VAP in the early tracheostomy vs. control group [<a href="#B10-life-14-01165" class="html-bibr">10</a>,<a href="#B12-life-14-01165" class="html-bibr">12</a>,<a href="#B13-life-14-01165" class="html-bibr">13</a>,<a href="#B20-life-14-01165" class="html-bibr">20</a>,<a href="#B21-life-14-01165" class="html-bibr">21</a>,<a href="#B22-life-14-01165" class="html-bibr">22</a>,<a href="#B23-life-14-01165" class="html-bibr">23</a>,<a href="#B24-life-14-01165" class="html-bibr">24</a>,<a href="#B25-life-14-01165" class="html-bibr">25</a>,<a href="#B26-life-14-01165" class="html-bibr">26</a>,<a href="#B27-life-14-01165" class="html-bibr">27</a>,<a href="#B28-life-14-01165" class="html-bibr">28</a>,<a href="#B29-life-14-01165" class="html-bibr">29</a>,<a href="#B30-life-14-01165" class="html-bibr">30</a>,<a href="#B32-life-14-01165" class="html-bibr">32</a>,<a href="#B33-life-14-01165" class="html-bibr">33</a>].</p>
Full article ">Figure 4
<p>Forest plot of estimated standardized mean difference comparing ICU length of stay in the early tracheostomy vs. control group [<a href="#B10-life-14-01165" class="html-bibr">10</a>,<a href="#B12-life-14-01165" class="html-bibr">12</a>,<a href="#B20-life-14-01165" class="html-bibr">20</a>,<a href="#B24-life-14-01165" class="html-bibr">24</a>,<a href="#B25-life-14-01165" class="html-bibr">25</a>,<a href="#B26-life-14-01165" class="html-bibr">26</a>,<a href="#B27-life-14-01165" class="html-bibr">27</a>,<a href="#B28-life-14-01165" class="html-bibr">28</a>,<a href="#B29-life-14-01165" class="html-bibr">29</a>,<a href="#B30-life-14-01165" class="html-bibr">30</a>,<a href="#B31-life-14-01165" class="html-bibr">31</a>,<a href="#B32-life-14-01165" class="html-bibr">32</a>,<a href="#B33-life-14-01165" class="html-bibr">33</a>].</p>
Full article ">Figure 5
<p>Forest plot of estimated standardized mean difference comparing duration of mechanical ventilation in the early tracheostomy vs. control group [<a href="#B10-life-14-01165" class="html-bibr">10</a>,<a href="#B12-life-14-01165" class="html-bibr">12</a>,<a href="#B20-life-14-01165" class="html-bibr">20</a>,<a href="#B24-life-14-01165" class="html-bibr">24</a>,<a href="#B25-life-14-01165" class="html-bibr">25</a>,<a href="#B26-life-14-01165" class="html-bibr">26</a>,<a href="#B27-life-14-01165" class="html-bibr">27</a>,<a href="#B28-life-14-01165" class="html-bibr">28</a>,<a href="#B29-life-14-01165" class="html-bibr">29</a>,<a href="#B30-life-14-01165" class="html-bibr">30</a>,<a href="#B31-life-14-01165" class="html-bibr">31</a>,<a href="#B32-life-14-01165" class="html-bibr">32</a>,<a href="#B33-life-14-01165" class="html-bibr">33</a>].</p>
Full article ">Figure 6
<p>GRADE evidence profile for the considered outcomes.</p>
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<p>Trial sequential analysis performed for each considered outcome.</p>
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19 pages, 7242 KiB  
Article
Proteomics and Microbiota Conjoint Analysis in the Nasal Mucus: Revelation of Differences in Immunological Function in Manis javanica and Manis pentadactyla
by Qing Han, Yepin Yu, Hongbin Sun, Xiujuan Zhang, Ping Liu, Jianfeng Deng, Xinyuan Hu and Jinping Chen
Animals 2024, 14(18), 2683; https://doi.org/10.3390/ani14182683 (registering DOI) - 14 Sep 2024
Viewed by 245
Abstract
All eight pangolin species, especially captive Manis pentadactyla, are critically endangered and susceptible to various pathogenic microorganisms, causing mass mortality. They are involved in the complement system, iron transport system, and inflammatory factors. M. pentadactyla exhibited a higher abundance of opportunistic pathogens, [...] Read more.
All eight pangolin species, especially captive Manis pentadactyla, are critically endangered and susceptible to various pathogenic microorganisms, causing mass mortality. They are involved in the complement system, iron transport system, and inflammatory factors. M. pentadactyla exhibited a higher abundance of opportunistic pathogens, Moraxella, which potentially evaded complement-mediated immune response by reducing C5 levels and counteracting detrimental effects through transferrin neutralization. In addition, we found that the major structure of C5a, an important inflammatory factor, was lacking in M. javanica. In brief, this study revealed the differences in immune factors and microbiome between M. javanica and M. pentadactyla, thus providing a theoretical basis for subsequent immunotherapy. Full article
(This article belongs to the Section Mammals)
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Figure 1

Figure 1
<p>PCA and differentially expressed proteins statistics of the nasal mucus in pangolins. (<b>a</b>, <b>left</b>) PCA of <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>; (<b>a</b>, <b>right</b>) PCA of male and female pangolins; the dots named M− mean <span class="html-italic">M. javanica</span>, and the dots named Z− mean <span class="html-italic">M. pentadactyla</span>, the detailed information about samples were provided in <a href="#app1-animals-14-02683" class="html-app">Supplementary Table S1</a>. (<b>b</b>) Numbers of up-/down-regulated proteins in different species and sexuality (based on the expression of proteins in <span class="html-italic">M. pentadactyla</span> and male pangolins).</p>
Full article ">Figure 2
<p>GO classification of differentially expressed proteins between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. (<b>a</b>) Increased enrichment (<span class="html-italic">M. javanica</span> compared with <span class="html-italic">M. pentadactyla</span>); (<b>b</b>) Decreased enrichment (<span class="html-italic">M. javanica</span> compared with <span class="html-italic">M. pentadactyla</span>). The numbers indicated the number of proteins significantly enriched in each term. The statistical significances were achieved using <span class="html-italic">t</span> test, with <span class="html-italic">p</span> &lt; 0.05, Fold change &gt; 1.2.</p>
Full article ">Figure 3
<p>KEGG classification of differentially expressed proteins between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla.</span> (<b>a</b>) Increased enrichment (<span class="html-italic">M. javanica</span> compared with <span class="html-italic">M. pentadactyla</span>); (<b>b</b>) Decreased enrichment (<span class="html-italic">M. javanica</span> compared with <span class="html-italic">M. pentadactyla</span>). The numbers indicated the number of proteins significantly enriched in each term. The statistical significances were achieved using <span class="html-italic">t</span> test, with <span class="html-italic">p</span> &lt; 0.05, Fold change &gt; 1.2.</p>
Full article ">Figure 4
<p>Venn diagram of OTUs (<b>a</b>) and rarefaction curve (<b>b</b>) of the nasal microbiota in <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>.</p>
Full article ">Figure 5
<p>Alpha (<b>a</b>) and beta (<b>b</b>) diversity analyses of nasal microbiota between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>.</p>
Full article ">Figure 6
<p>Composition and difference analysis of nasal microbiota between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. (<b>a</b>) Composition of nasal microbiota at the phylum (<b>up</b>) and species (<b>down</b>) levels; (<b>b</b>) LEfSe analysis of bacteria with significantly different abundance in <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>; (<b>c</b>) Significantly different bacteria in the nasal mucus between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. Bars represented the results from four/five pangolins. Significant differences in the abundance of bacteria were indicated with an asterisk (<span class="html-italic">p</span> &lt; 0.05) or two asterisks (<span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">Figure 7
<p>KEGG function forecast and difference analysis of nasal microbiota between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. (<b>a</b>) KEGG function forecast of nasal microbiota at the species level with level two functional hierarchy; (<b>b</b>) Significantly different predicted functions between <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. Bars represented the results from four/five pangolins. Significant differences in functions were indicated with an asterisk (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 8
<p>Proteomics and microbiotas conjoint analysis of nasal mucus in <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. (<b>a</b>) The correlation between differentially expressed proteins and discrepant bacteria. Squares represented proteins of pangolins, circles represented bacteria in the nasal mucosa, and the volumes represented the abundance. The green lines represented positive correlation, red lines represented negative correlation, and the line thickness represented the levels of correlation. Coefficient of correlation, ≥0.6; <span class="html-italic">p</span>-value ≤ 0.05. (<b>b</b>) The correlation between significantly discrepant bacteria and complement proteins in <span class="html-italic">M. javanica</span> (<b>left</b>) and <span class="html-italic">M. pentadactyla</span> (<b>right</b>), respectively. The green boxes represented positive correlation; red boxes represented negative correlation. Significant differences were indicated with an asterisk (<span class="html-italic">p</span> &lt; 0.05) or two asterisks (<span class="html-italic">p</span> &lt; 0.01). (<b>c</b>) The correlation between significantly discrepant bacteria and iron transport proteins in <span class="html-italic">M. javanica</span> (<b>left</b>) and <span class="html-italic">M. pentadactyla</span> (<b>right</b>), respectively. The green boxes represented positive correlation; red boxes represented negative correlation. Significant differences were indicated with an asterisk (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 9
<p>Bioinformatics analysis of complement C5 in <span class="html-italic">M. javanica</span>, <span class="html-italic">M. pentadactyla</span>, and <span class="html-italic">H. sapiens</span>. (<b>a</b>) Serum complement C5 of <span class="html-italic">M. javanica</span> expressed significantly lower versus <span class="html-italic">M. pentadactyla</span> (<span class="html-italic">p</span> &lt; 0.05); (<b>b</b>) Protein sequence alignment of complement C5 (partial) and C5a; (<b>c</b>) Comparison of functional motifs of complement C5. The functional motifs were indicated in the named color boxes. (<b>d</b>) Comparison of 3D models of complement C5. The yellow sections in the box showed C5a in pangolins and humans. The parameters in the 3D model are: (<span class="html-italic">M. javanica</span>) GMQE: 0.74, QMEAN: 0.76; (<span class="html-italic">M. pentadactyla</span>) GMQE: 0.7, QMEAN: 0.71; (<span class="html-italic">H. sapiens</span>) GMQE: 0.69, QMEAN: 0.71.</p>
Full article ">Figure 10
<p>Gene amplification and prokaryotic recombinant protein expression of <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>. (<b>a</b>) Amplification of C5a full-length from the cDNA of pangolins. M: marker, 1: C5a of <span class="html-italic">M. javanica</span>, C5a of <span class="html-italic">M. pentadactyla</span>; (<b>b</b>) SDS-PAGE analysis of C5a connected with a carrier. M: marker, 1: recombinant protein of C5a from <span class="html-italic">M. javanica</span> without induction; 2: recombinant protein of C5a from <span class="html-italic">M. javanica</span> with induction; 3: recombinant protein of C5a from <span class="html-italic">M. pentadactyla</span> without induction; 4: recombinant protein of C5a from <span class="html-italic">M. pentadactyla</span> with induction. The red arrows represent the C5a recombinant proteins of <span class="html-italic">M. javanica</span> and <span class="html-italic">M. pentadactyla</span>, respectively.</p>
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19 pages, 6389 KiB  
Article
A Breast Tumor Monitoring Vest with Flexible UWB Antennas—A Proof-of-Concept Study Using Realistic Breast Phantoms
by Rakshita Dessai, Daljeet Singh, Marko Sonkki, Jarmo Reponen, Teemu Myllylä, Sami Myllymäki and Mariella Särestöniemi
Micromachines 2024, 15(9), 1153; https://doi.org/10.3390/mi15091153 (registering DOI) - 14 Sep 2024
Viewed by 254
Abstract
Breast cancers can appear and progress rapidly, necessitating more frequent monitoring outside of hospital settings to significantly reduce mortality rates. Recently, there has been considerable interest in developing techniques for portable, user-friendly, and low-cost breast tumor monitoring applications, enabling frequent and cost-efficient examinations. [...] Read more.
Breast cancers can appear and progress rapidly, necessitating more frequent monitoring outside of hospital settings to significantly reduce mortality rates. Recently, there has been considerable interest in developing techniques for portable, user-friendly, and low-cost breast tumor monitoring applications, enabling frequent and cost-efficient examinations. Microwave technique-based breast cancer detection, which is based on differential dielectric properties of malignant and healthy tissues, is regarded as a promising solution for cost-effective breast tumor monitoring. This paper presents the development process of the first proof-of-concept of a breast tumor monitoring vest which is based on the microwave technique. Two unique vests are designed and evaluated on realistic 3D human tissue phantoms having different breast density types. Additionally, the measured results are verified using simulations carried out on anatomically realistic voxel models of the electromagnetic simulations. The radio channel characteristics are evaluated and analyzed between the antennas embedded in the vest in tumor cases and reference cases. Both measurements and simulation results show that the proposed vest can detect tumors even if only 1 cm in diameter. Additionally, simulation results show detectability with 0.5 cm tumors. It is observed that the detectability of breast tumors depends on the frequency, antenna selection, size of the tumors, and breast types, causing differences of 0.5–30 dB in channel responses between the tumorous and reference cases. Due to simplicity and cost-efficiency, the proposed channel analysis-based breast monitoring vests can be used for breast health checks in smaller healthcare centers and for user-friendly home monitoring which can prove beneficial in rural areas and developing countries. Full article
(This article belongs to the Special Issue Biomaterials, Biodevices and Tissue Engineering, Second Edition)
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Figure 1

Figure 1
<p>(<b>a</b>) Three cylindrical-shaped glandular phantoms: (1) reference, (2) with 1 cm tumor, and (3) with a 2 cm tumor; (<b>b</b>) breast phantom “Very Dense” with 0.5 cm thick fat layer; (<b>c</b>) breast phantom “Dense” with the glandular phantom inserted into the fat phantom; (<b>d</b>) measurement setup with phantoms set on the mannequin torso (1), above which the muscle phantom is first assembled (2), fat (3), glandular (4), and skin (5) phantoms [<a href="#B30-micromachines-15-01153" class="html-bibr">30</a>].</p>
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<p>Antennas used in the vest. (<b>a</b>) UWB monopole antenna design, (<b>b</b>) UWB monopole with flexible laminate substrate, (<b>c</b>) UWB monopole with conductive textile material, (<b>d</b>) Kapton polyamide substrate-based larger monopole [<a href="#B31-micromachines-15-01153" class="html-bibr">31</a>].</p>
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<p>(<b>a</b>) Tissue layer model used in antenna characteristics simulations, (<b>b</b>) S11 parameters of small and larger flexible antennas, (<b>c</b>–<b>h</b>) radiation patterns of small flexible antenna (left side of figure) and larger flexible antenna (right side of figure) at 3 GHz, 5 GHz, and 7 GHz.</p>
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<p>(<b>a</b>) Tissue layer model used in antenna characteristics simulations, (<b>b</b>) S11 parameters of small and larger flexible antennas, (<b>c</b>–<b>h</b>) radiation patterns of small flexible antenna (left side of figure) and larger flexible antenna (right side of figure) at 3 GHz, 5 GHz, and 7 GHz.</p>
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<p>The developed breast tumor monitoring vest types used in the evaluations: (<b>a</b>) Vest I with smaller flexible antennas and (<b>b</b>) Vest II with larger flexible antennas [<a href="#B31-micromachines-15-01153" class="html-bibr">31</a>]. The numbers above the antenna pockets indicate the antenna number.</p>
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<p>(<b>a</b>) Emma (<b>left</b>) and Laura (<b>right</b>) voxel models used in the simulations, (<b>b</b>) cross-section of Emma voxel (scattered fibroglandular tissue, <b>left</b>) and cross-section of Laura voxel (heterogeneous glandular breast tissue, <b>right</b>).</p>
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<p>Channel evaluations between (<b>a</b>) antennas 2 and 5 (Case 1a) and (<b>b</b>) antennas 2 and 7 (Case 1b) for Vest I with Antenna 1 and “Dense” breast phantom.</p>
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<p>Channel evaluations between the (<b>a</b>) antennas 2 and 5 (Case 2a) and (<b>b</b>) antennas 2 and 7 (Case 2b) for Vest I with Antenna 1 and “Less Dense” breast phantom.</p>
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<p>Channel evaluations in Case 3 between the (<b>a</b>) antennas 2 and 5 (Case 3a) and (<b>b</b>) antennas 2 and 7 (Case 3b) for Vest I with Antenna 2 and “Dense” breast phantom.</p>
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<p>Channel evaluations between in Case 4 (<b>a</b>) antennas 2 and 5 (Case 4a) and (<b>b</b>) antennas 2 and 7 (Case 4b) for Vest I with Antenna 2 and “Less Dense” breast phantom.</p>
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<p>Channel evaluations for Case 5 between the (<b>a</b>) antennas 1 and 6 (Case 5a) and (<b>b</b>) antennas 3 and 6 (Case 5b) for Vest II with Antenna 3 and “Dense” breast phantom.</p>
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<p>Channel evaluations for Case 6 between (<b>a</b>) antennas 1 and 6 (Case 6a) and (<b>b</b>) antennas 3 and 6 (Case 6b) for Vest II with Antenna 3 and “Less Dense” breast phantom.</p>
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<p>Case 7: Simulation-based channel evaluations with different tumor sizes: (<b>a</b>) S26 results using Emma voxel (Case 7a) and (<b>b</b>) S16 results using Laura voxel (Case 7b).</p>
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<p>Time-domain channel evaluations with different tumor sizes and different IFFT lengths: (<b>a</b>) Impulse response IR26 results using Emma voxel with full band IFFT conversion, (<b>b</b>) IR16 results using Laura voxel, with full band IFFT conversion, (<b>c</b>) IR16 results using Laura, with IFFT conversion to 4.5–5.8 GHz.</p>
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10 pages, 305 KiB  
Article
Determinants of Neurological Outcome Following Elective and Emergency Open Thoracoabdominal Aortic Aneurysm Repair—A Retrospective Multi-Center Study
by Jelle Frankort, Panagiotis Doukas, Christian Uhl, Nelly Otte, Julia Krabbe, Barend Mees, Michael J. J Jacobs and Alexander Gombert
J. Clin. Med. 2024, 13(18), 5473; https://doi.org/10.3390/jcm13185473 (registering DOI) - 14 Sep 2024
Viewed by 246
Abstract
Background/Objectives: This study aimed to evaluate and establish the incidence of all types of neurological complications at our high-volume reference center for open TAAA repair in the Netherlands and Germany. Additionally, we sought to identify predictors for various neurological complications. Methods: [...] Read more.
Background/Objectives: This study aimed to evaluate and establish the incidence of all types of neurological complications at our high-volume reference center for open TAAA repair in the Netherlands and Germany. Additionally, we sought to identify predictors for various neurological complications. Methods: This retrospective study was conducted in accordance with the STROBE guidelines, with the aim of reporting neurological outcomes for all patients who underwent open thoracoabdominal aortic aneurysm repair at two centers (Maastricht-Aachen) from 2000 to 2023, and to examine the association between these outcomes and pre- and perioperative parameters. The primary endpoints of the study were all-cause mortality, spinal cord ischemia (SCI), stroke, intracerebral bleeding (ICB), critical illness polyneuropathy/myopathy (CIP/CIM), and recurrent laryngeal nerve paralysis. Results: A total of 577 patients were operated on for open TAAA repair in two centers. The total in-hospital mortality rate was 20.6%, while the elective cases in-hospital mortality rate was 14.6%. In all, 28.2% of patients experienced neurological complications. The spinal cord ischemia rate was 7.5%, intracerebral bleeding 3.6%, stroke 5.9%, critical illness polyneuropathy 3.5%, and laryngeal nerve paresis 5.7%. Crawford extent II was significantly associated with increased neurological complications (OR 2.05, 95% CI 1.39–3.03, p = 0.003), while Crawford extent III and IV were significantly associated with fewer postoperative neurological complications (OR 0.61 (0.38–0.98) p = 0.04) (OR 0.52 (0.30–0.92) p = 0.02). Preoperative ASA score > 3 (OR 1.76, 95% CI 1.16–2.67, p = 0.007), COPD (OR 1.82, 95% CI 1.19–2.78, p = 0.006), massive intraoperative transfusion (OR 1.48, 95% CI 1.01–2.17, p = 0.04), and reinterventions during hospital stay (OR 1.98, 95% CI 1.36–2.89, p < 0.001) and surgery time (p = <0.001) were significantly associated with neurological complications. Patients with neurological complications had higher rates of other postoperative morbidities. Conclusions: Neurological complications after open TAAA repair remain a significant concern, with identified risk factors associated with increased morbidity, mortality, and resource utilization. Identifying at-risk patients could potentially lead to a reduction in neurological complications. Full article
(This article belongs to the Section Cardiovascular Medicine)
9 pages, 574 KiB  
Article
Prevalence of Cardiotoxicity Secondary to Trastuzumab in Patients with HER-2-Positive Breast Cancer in Southeast Mexico
by Luz I. Pascual-Mathey, Midory I. Velez-Figueroa, Joel J. Díaz-Vallejo, Gustavo Mendez-Hirata and Gustavo F. Mendez-Machado
Reports 2024, 7(3), 76; https://doi.org/10.3390/reports7030076 (registering DOI) - 14 Sep 2024
Viewed by 172
Abstract
In Mexico, breast cancer (BC) is the principal cause of death in women over 30 years old, with an annual mortality rate of 14.61 deaths per a 100,000 population. Chemotherapy, in combination with trastuzumab (TTZ), improves the survival of cancer patients; however, cardiotoxicity [...] Read more.
In Mexico, breast cancer (BC) is the principal cause of death in women over 30 years old, with an annual mortality rate of 14.61 deaths per a 100,000 population. Chemotherapy, in combination with trastuzumab (TTZ), improves the survival of cancer patients; however, cardiotoxicity (CT) is the principal consequence. CT prevalence occurs between 10% and 30% of patients; however, there are no data about the prevalence of CT in the Mexican population. This study aims to establish the prevalence of CT in patients treated with anti-HER-2 therapy among BC women in southeast Mexico. A retrospective cross-sectional study was carried out from January 2015 to July 2019. The records of 46 patients diagnosed with HER-2-positive BC who attended the Mexican Social Security Institute in the Ambulatory Care Medicine Unit were analyzed. The diagnostic criterion for CT was a decrease in LVEF > 10% from baseline or a final LVEF < 53%. CT prevalence was observed in 19 (41.3%) of women with cancer, with an average decrease in LVEF of 13%. In the population, we found an association between weight, surface area, and the loading dose of TTZ with CT. Nutritional follow-up and the administration of cardioprotective drugs are necessary to recover LVEF and avoid cardiovascular failure in women with BC and survivors. Full article
(This article belongs to the Section Oncology)
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<p>The flow diagram of the retrospective cross-sectional study performed is shown. After selection, thirty records were excluded; records of forty-six HER-positive BC patients were included in this study.</p>
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12 pages, 2555 KiB  
Article
Plastics at an Offshore Fish Farm on the South Coast of Madeira Island (Portugal): A Preliminary Evaluation of Their Origin, Type, and Impact on Farmed Fish
by Mariana Martins, Ana Pombo, Susana Mendes and Carlos A. P. Andrade
Environments 2024, 11(9), 202; https://doi.org/10.3390/environments11090202 (registering DOI) - 14 Sep 2024
Viewed by 150
Abstract
Plastic pollution is a global problem affecting all ecosystems, and it represents most of the marine litter. Offshore aquaculture is a sector particularly vulnerable to this issue. To investigate this concern, the present study employed videography to monitor macroplastics at an offshore fish [...] Read more.
Plastic pollution is a global problem affecting all ecosystems, and it represents most of the marine litter. Offshore aquaculture is a sector particularly vulnerable to this issue. To investigate this concern, the present study employed videography to monitor macroplastics at an offshore fish farm on Madeira Island (Portugal) and analysis of fish gut content to evaluate macroplastic ingestion by farmed sea bream Sparus aurata. Our analysis revealed that the majority of identified plastic debris originated from domestic use (66.66%) and fisheries/aquaculture activities (24.99%). While the number of dead fish suitable for sampling was limited (1.05% of the total mortality), macroplastic debris ingestion was identified in 5.15% of the total mortalities and reported for the first time in species in offshore farming conditions. Fish ingested fragmented plastic sheets, with the amount positively correlated with fish weight (r = 0.621, p = 0.031, n = 12). Notably, the stretched length of these fragments exceeded 50% of the standard length of most fish. Inconsistencies were observed in the number of samples collected per cage and per week. To ensure robust results, these discrepancies should be rectified in future studies. Additionally, extending the sampling period to encompass all seasons would be beneficial for a more comprehensive understanding of seasonal variations in plastic occurrence. Full article
(This article belongs to the Special Issue Plastics Pollution in Aquatic Environments)
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<p>Marismar’s fish farm location and its offshore cages. (<b>a</b>) Madeira Island’s map; (<b>b</b>) location of offshore cages; (<b>c</b>) fish farm concession area; (<b>d</b>) display of fish farm cages.</p>
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<p>The main ocean current directions (<b>A</b>) at the fish farm and the number of plastics found at each cage and quadrant (fish farm cages identified from 1 to 10) and (<b>B</b>) Diagram of frequency (%) of ocean current directions observed at the fish farm.</p>
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<p>Average (and standard deviation) of the condition factor (K) of individuals that died of natural/unknown causes (dead fish) with and without plastic and of individuals that were sampled monthly (fish captured alive) from cages 4, 5, 6, and 9 of Marismar’s fish farm. Symbols * and # represent significant differences (i.e., whenever <span class="html-italic">p</span>-value &lt; 0.05).</p>
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<p>Sea bream <span class="html-italic">Sparus aurata</span> sampled from Marismar’s fish farm, (<b>A</b>,<b>B</b>). In the foreground, plastic removed from the gastrointestinal tract from each fish.</p>
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<p>Correlation between weight of fish and amount (weight) of macroplastics found in the digestive tract (n = 12; r = 0.621; <span class="html-italic">p</span> = 0.031).</p>
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