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21 pages, 2263 KiB  
Systematic Review
Can Vitamin D Levels Influence Bone Metabolism and Osseointegration of Dental Implants? An Umbrella Review
by Eduardo Tallon, José Paulo Macedo, Ana Faria, José Maria Tallon, Marta Pinto and Jorge Pereira
Healthcare 2024, 12(18), 1867; https://doi.org/10.3390/healthcare12181867 (registering DOI) - 17 Sep 2024
Abstract
Introduction: Due to the large amount of scientific evidence on the subject and the limitations and incongruities in previous reviews, the primary aim of this umbrella review is to gather all the information regarding the importance of vitamin D levels in the osseointegration [...] Read more.
Introduction: Due to the large amount of scientific evidence on the subject and the limitations and incongruities in previous reviews, the primary aim of this umbrella review is to gather all the information regarding the importance of vitamin D levels in the osseointegration of dental implants. Methods: The literature search was performed in PubMed, Web of Science, CINAHL Plus, Cochrane Library, and Academic Search Complete throughout the search expression [“vitamin D” AND (“dental implant” OR “dental implants”)]. Results: The initial search yielded 351 results, but at the end of the process, only five systematic reviews were selected. Conclusions: Vitamin D seems to have a positive effect on the osseointegration of dental implants and on the reduction of dental implant failures; however, it is recommended that future studies take into account the limitations mentioned in this study in order to increase the validity and quality of scientific evidence on the subject. Full article
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Figure 1
<p>Recommendations for the prevention of vitamin D deficiency in adults.</p>
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<p>Recommendations for treatment of vitamin D deficiency in adults.</p>
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<p>Algorithm for Vitamin D deficiency screening and treatment. Adapted from Pludowsky et al., (2022) [<a href="#B20-healthcare-12-01867" class="html-bibr">20</a>].</p>
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<p>Literature selection process, according to the PRISMA statement. Adapted from Page et al., (2020) [<a href="#B36-healthcare-12-01867" class="html-bibr">36</a>].</p>
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16 pages, 966 KiB  
Article
Real-World Outcomes of First-Line Chemotherapy in Metastatic Pancreatic Cancer: A Nationwide Population-Based Study in Korea
by Chan Su Park, Byung Kyu Park, Joung-Ho Han, Kyong Joo Lee and Kang Ju Son
Cancers 2024, 16(18), 3173; https://doi.org/10.3390/cancers16183173 - 16 Sep 2024
Viewed by 194
Abstract
Background/Objectives: This nationwide population-based study investigated the overall survival (OS) of patients with metastatic pancreatic cancer (mPC) receiving first-line chemotherapy. Methods: Data from the National Health Insurance Service linked to the Korea Central Cancer Registry were used. Patients with mPC receiving first-line chemotherapy [...] Read more.
Background/Objectives: This nationwide population-based study investigated the overall survival (OS) of patients with metastatic pancreatic cancer (mPC) receiving first-line chemotherapy. Methods: Data from the National Health Insurance Service linked to the Korea Central Cancer Registry were used. Patients with mPC receiving first-line chemotherapy (2012–2019) were included and followed up until 2020. The gemcitabine plus nab-paclitaxel (GnP) and FOLFIRINOX groups were matched according to age, sex, and comorbidities. Results: In total, 8652 patients with mPC were treated with chemotherapy. GnP and FOLFIRINOX have been administered since 2016 and 2017, respectively. The median OS increased annually from 6 months in 2012–2013 to 10 months in 2018–2019. The median OSs in the GnP and FOLFIRINOX groups were significantly longer than those in patients receiving gemcitabine ± erlotinib. A total of 1134 patients from both the GnP and FOLFIRINOX groups were selected using propensity score matching. Before matching, the median OS was longer in the FOLFIRINOX group than in the GnP group (p = 0.0029). After matching, however, there was no significant difference in the median OS between the two groups (11 vs. 11 months, respectively, p = 0.2438). Conclusions: Patients with mPC receiving chemotherapy have shown improved OS since the introduction of GnP and FOLFIRINOX. After matching, OS did not differ between the GnP and FOLFIRINOX groups. Full article
(This article belongs to the Section Cancer Metastasis)
16 pages, 3237 KiB  
Article
A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithms
by Thitaree Lertliangchai, Birol Dindoruk, Ligang Lu, Xi Yang and Utkarsh Sinha
Fuels 2024, 5(3), 548-563; https://doi.org/10.3390/fuels5030030 (registering DOI) - 16 Sep 2024
Viewed by 294
Abstract
Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation. However, DPP presents challenges in terms of predictability. Acknowledging these complexities, we introduce a state-of-the-art [...] Read more.
Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation. However, DPP presents challenges in terms of predictability. Acknowledging these complexities, we introduce a state-of-the-art approach for DPP estimation utilizing advanced machine learning (ML) techniques. Our methodology is juxtaposed against published empirical correlation-based methods on two datasets with limited sizes and diverse inputs. With superior performance over correlation-based estimators, our ML approach demonstrates adaptability and resilience even with restricted training datasets, spanning various fluid classifications. We acquired condensate PVT data from publicly available sources and GeoMark RFDBASE, encompassing dew point pressure (the target variable), as well as compositional data (mole percentages of each component), temperature, molecular weight (MW), and specific gravity (SG) of heptane plus, which served as input variables. Before initiating the study, thorough assessments of measurement quality and results using statistical methods were conducted leveraging domain expertise. Subsequently, advanced ML techniques were employed to train predictive models with cross-validation to mitigate overfitting to the limited datasets. Our models were juxtaposed against the foremost published DDP estimators utilizing empirical correlation-based methods, with correlation-based estimators also trained on the underlying datasets for equitable comparison. To improve outcomes, pseudo-critical properties and artificial proxy features were utilized, leveraging generalized input data. Full article
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Figure 1
<p>Brief Summary of the loss function minimized in XGBboost [<a href="#B12-fuels-05-00030" class="html-bibr">12</a>,<a href="#B13-fuels-05-00030" class="html-bibr">13</a>].</p>
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<p>Feature correlation with dew point pressure heatmap for XGBoost [<a href="#B9-fuels-05-00030" class="html-bibr">9</a>] with Sutton [<a href="#B22-fuels-05-00030" class="html-bibr">22</a>] pseudocritical properties.</p>
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<p>Cross-plots of measured <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>p</mi> </mrow> <mrow> <mi>d</mi> <mi>e</mi> <mi>w</mi> </mrow> </msub> </mrow> </semantics></math> vs. predicted <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>p</mi> </mrow> <mrow> <mi>d</mi> <mi>e</mi> <mi>w</mi> </mrow> </msub> </mrow> </semantics></math> using (<b>a</b>) XGBoost [<a href="#B9-fuels-05-00030" class="html-bibr">9</a>] with Sutton [<a href="#B22-fuels-05-00030" class="html-bibr">22</a>] pseudocritical properties and APF; (<b>b</b>) XGBoost [<a href="#B12-fuels-05-00030" class="html-bibr">12</a>,<a href="#B13-fuels-05-00030" class="html-bibr">13</a>]; (<b>c</b>) tuned Ahmadi and Elsharkawy [<a href="#B4-fuels-05-00030" class="html-bibr">4</a>] correlation; (<b>d</b>) tuned Elsharkawy [<a href="#B3-fuels-05-00030" class="html-bibr">3</a>] correlation; (<b>e</b>) tuned El-hoshoudy et al. [<a href="#B5-fuels-05-00030" class="html-bibr">5</a>] correlation; (<b>f</b>) tuned Nemeth and Kennedy [<a href="#B2-fuels-05-00030" class="html-bibr">2</a>] correlation.</p>
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<p>Prediction error distribution plots using (<b>a</b>) XGBoost [<a href="#B12-fuels-05-00030" class="html-bibr">12</a>,<a href="#B13-fuels-05-00030" class="html-bibr">13</a>] with Sutton [<a href="#B22-fuels-05-00030" class="html-bibr">22</a>] pseudocritical properties and APF; (<b>b</b>) XGBoost [<a href="#B12-fuels-05-00030" class="html-bibr">12</a>,<a href="#B13-fuels-05-00030" class="html-bibr">13</a>]; (<b>c</b>) tuned Ahmadi and Elsharkawy [<a href="#B4-fuels-05-00030" class="html-bibr">4</a>] correlation; (<b>d</b>) tuned Elsharkawy [<a href="#B3-fuels-05-00030" class="html-bibr">3</a>] correlation; (<b>e</b>) tuned El-hoshoudy et al. [<a href="#B5-fuels-05-00030" class="html-bibr">5</a>] correlation; (<b>f</b>) tuned Nemeth and Kennedy [<a href="#B2-fuels-05-00030" class="html-bibr">2</a>] correlation.</p>
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<p>Cross-plots of measured <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>p</mi> </mrow> <mrow> <mi>d</mi> <mi>e</mi> <mi>w</mi> </mrow> </msub> </mrow> </semantics></math> vs. predicted <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>p</mi> </mrow> <mrow> <mi>d</mi> <mi>e</mi> <mi>w</mi> </mrow> </msub> </mrow> </semantics></math> using (<b>a</b>) XGBoost; (<b>b</b>) LightGBM; (<b>c</b>) random forest regressor; (<b>d</b>) NN regressor (8 neurons in 1 hidden layer).</p>
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<p>Prediction error distribution plots of (<b>a</b>) XGBoost; (<b>b</b>) LightGBM; (<b>c</b>) random forest regressor; (<b>d</b>) NN regressor (8 neurons in 1 hidden layer).</p>
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9 pages, 556 KiB  
Article
Addition of Bempedoic Acid to Statin–Ezetimibe versus Statin Titration in Patients with High Cardiovascular Risk: A Single-Centre Prospective Study
by Giuseppe Marazzi, Giuseppe Caminiti, Marco Alfonso Perrone, Giuseppe Campolongo, Luca Cacciotti, Domenico Mario Giamundo, Ferdinando Iellamo, Paolo Severino, Maurizio Volterrani and Giuseppe Rosano
J. Cardiovasc. Dev. Dis. 2024, 11(9), 286; https://doi.org/10.3390/jcdd11090286 - 14 Sep 2024
Viewed by 231
Abstract
Reducing levels of low-density lipoprotein cholesterol (LDL-C) below recommended thresholds is a core component of cardiovascular prevention strategies. We hypothesized that the addition of bempedoic acid to patients already on statin–ezetimibe therapy was more effective than titrating the statin dose in reducing LDL-C. [...] Read more.
Reducing levels of low-density lipoprotein cholesterol (LDL-C) below recommended thresholds is a core component of cardiovascular prevention strategies. We hypothesized that the addition of bempedoic acid to patients already on statin–ezetimibe therapy was more effective than titrating the statin dose in reducing LDL-C. The study enrolled 120 patients at high cardiovascular risk and with LDL-C above 70 mg/dL. They were randomly divided into two groups: the bempedoic acid (BA) group, taking bempedoic acid in addition to statin plus ezitimibe, and the statin titration (ST) group, including patients who doubled the dose of statin. At 12 weeks, the BA group presented a more significant decrease in LDL-C compared to the ST group (−22.9% vs. 7.5% p 0.002). The total cholesterol decreased significantly in the BA group compared to ST (−14.8% vs.−4.7%; p 0.013) No significant between-group changes in HDL and triglycerides occurred. At 12 weeks, the number of patients who reached LDL-C lower than 70 mg/dL was 38 (63%) in the BA group versus 22 (37%) in the ST group (between groups, p 0.034). In the BA group, the LDL-lowering effect of bempedoic acid was similar between patients taking atorvastatin and rosuvastatin. No side effects occurred during the follow up period. In conclusion, the addition of bempedoic acid to statin–ezetimibe combined treatment was more effective than doubling the dose of statin in reducing LDL-C levels and increased the number of patients reaching the LDL-C goal. Full article
(This article belongs to the Special Issue Effects of Pharmaceutical Intervention on Cardiovascular Risk)
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<p>Study flow chart.</p>
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<p>Percentage changes (12 week versus baseline) in lipids in the BA group (dark bars) and ST group (light bars). Serum levels of total cholesterol and LDL cholesterol decreased significantly in the BA group (ac bempedoic + statin + ezetimobe) compared to ST (statin titration + ezetimibe) group after 12 weeks.</p>
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11 pages, 3964 KiB  
Article
Adverse Events in Targeted Therapy for Unresectable Hepatocellular Carcinoma Predict Clinical Outcomes
by Kenji Imai, Koji Takai, Masashi Aiba, Shinji Unome, Takao Miwa, Tatsunori Hanai, Atsushi Suetsugu and Masahito Shimizu
Cancers 2024, 16(18), 3150; https://doi.org/10.3390/cancers16183150 - 14 Sep 2024
Viewed by 261
Abstract
To assess the impact of adverse event (AE) severity, caused by targeted therapy, on overall survival (OS) and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (HCC), a total of 183 patients with HCC treated with atezolizumab plus bevacizumab (40), lenvatinib (57), [...] Read more.
To assess the impact of adverse event (AE) severity, caused by targeted therapy, on overall survival (OS) and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (HCC), a total of 183 patients with HCC treated with atezolizumab plus bevacizumab (40), lenvatinib (57), sorafenib (79), cabozantinib (3), ramucirumab (3), and regorafenib (1) were included in this study. Age-, AFP-, and ALBI score-adjusted hazard ratios (HRs) of AE grades 1 to 3 versus grade 0 for OS and PFS were calculated using Cox proportional hazards models. The linear trend of the HRs was assessed by calculating the p values for this trend. The most common AEs were appetite loss (AE grade 0/1/2/3 = 97/23/55/12), general fatigue (102/31/44/6), hypertension (120/6/40/17), hand-foot syndrome (HFS) (135/21/24/3), proteinuria (140/13/16/14), and hypothyroidism (148/12/23/0). The adjusted HRs for OS of these AEs were 0.532–1.450–2.361 (p for trend 0.037), 1.057–1.691–3.364 (p for trend 0.004), 1.176–0.686–0.281 (p for trend 0.002), 0.639–0.759–1.820 (p for trend 0.462), 1.030–0.959–0.147 (p for trend 0.011), and 0.697–0.609 (p for trend 0.119), respectively. Those for PFS of the corresponding AEs were 0.592–1.073–2.811 (p for trend 0.255), 1.161–1.282–4.324 (p for trend 0.03), 0.965–0.781–0.655 (p for trend 0.095), 0.737–0.623–2.147 (p for trend 0.153), 1.061–0.832–0.800 (p for trend 0.391), and 1.412–0.560 (p for trend 0.081), respectively. Appetite loss and general fatigue negatively affected clinical outcomes, whereas hypertension, HFS, proteinuria, and hypothyroidism had positive effects. Full article
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Figure 1
<p>Overall survival (OS) curves for each grade of targeted therapy-induced adverse event. The differences between the survival curves (<b>a</b>–<b>f</b>) were assessed using the log-rank test, with multiple comparisons adjusted via Bonferroni correction.</p>
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<p>Hazard ratios for overall survival comparing adverse event grades 1 to 3 with 0. * Adjusted for age, alpha-fetoprotein, and ALBI score.</p>
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<p>Progression-free survival (PFS) curves for each grade of targeted therapy-induced adverse event. The differences between the survival curves (<b>a</b>–<b>f</b>) were assessed using the log-rank test, with multiple comparisons adjusted via Bonferroni correction.</p>
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<p>Hazard ratios for progression-free survival comparing adverse event grades 1 to 3 with 0. * Adjusted for age, alpha-fetoprotein, and ALBI score.</p>
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25 pages, 4233 KiB  
Article
Characterization of the Immune-Modulating Properties of Different β-Glucans on Myeloid Dendritic Cells
by Hannah Rainer, Alexandra Goretzki, Yen-Ju Lin, Hannah Ruth Schiller, Maren Krause, Sascha Döring, Daniel Strecker, Ann-Christine Junker, Sonja Wolfheimer, Masako Toda, Stephan Scheurer and Stefan Schülke
Int. J. Mol. Sci. 2024, 25(18), 9914; https://doi.org/10.3390/ijms25189914 (registering DOI) - 13 Sep 2024
Viewed by 327
Abstract
In allergen-specific immunotherapy, adjuvants are explored for modulating allergen-specific Th2 immune responses to re-establish clinical tolerance. One promising class of adjuvants are β-glucans, which are naturally derived sugar structures and components of dietary fibers that activate C-type lectin (CLR)-, “Toll”-like receptors (TLRs), and [...] Read more.
In allergen-specific immunotherapy, adjuvants are explored for modulating allergen-specific Th2 immune responses to re-establish clinical tolerance. One promising class of adjuvants are β-glucans, which are naturally derived sugar structures and components of dietary fibers that activate C-type lectin (CLR)-, “Toll”-like receptors (TLRs), and complement receptors (CRs). We characterized the immune-modulating properties of six commercially available β-glucans, using immunological (receptor activation, cytokine secretion, and T cell modulating potential) as well as metabolic parameters (metabolic state) in mouse bone marrow-derived myeloid dendritic cells (mDCs). All tested β-glucans activated the CLR Dectin-1a, whereas TLR2 was predominantly activated by Zymosan. Further, the tested β-glucans differentially induced mDC-derived cytokine secretion and activation of mDC metabolism. Subsequent analyses focusing on Zymosan, Zymosan depleted, β-1,3 glucan, and β-1,3 1,6 glucan revealed robust mDC activation with the upregulation of the cluster of differentiation 40 (CD40), CD80, CD86, and MHCII to different extents. β-glucan-induced cytokine secretion was shown to be, in part, dependent on the activation of the intracellular Dectin-1 adapter molecule Syk. In co-cultures of mDCs with Th2-biased CD4+ T cells isolated from birch allergen Bet v 1 plus aluminum hydroxide (Alum)-sensitized mice, these four β-glucans suppressed allergen-induced IL-5 secretion, while only Zymosan and β-1,3 glucan significantly suppressed allergen-induced interferon gamma (IFNγ) secretion, suggesting the tested β-glucans to have distinct effects on mDC T cell priming capacity. Our experiments indicate that β-glucans have distinct immune-modulating properties, making them interesting adjuvants for future allergy treatment. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Allergy and Asthma: 3rd Edition)
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Figure 1
<p>β-glucans differ in their activation of mDC metabolism and the secretion of pro- and anti-inflammatory cytokines. Bone marrow of C57BL/6 mice was isolated, differentiated into mDCs for 8 days, and subsequently stimulated with either 20 µg/mL of the indicated β-glucans or 1 µg/mL of LPS as a positive control (<b>A</b>). The Warburg Effect was measured at OD<sub>570nm</sub>, and the inverted values were normalized to the unstimulated controls (<b>B</b>). The glucose concentration in the cell culture supernatant was determined using the Glucose (GO) assay kit and measuring the absorption at OD<sub>540nm</sub> (<b>C</b>). The secretion of the cytokines IL-6, IL-1β, IL-10, and IL-12p70 was measured via sandwich ELISA at OD<sub>450nm</sub>. Data are mean results ± SD of three independent experiments (<b>D</b>). Statistical comparison was performed by 1-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: no indication = not significant <span class="html-italic">p</span>-value &gt; 0.05, * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, or **** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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<p>Stimulation of mDCs with β-glucans results in increased metabolic activity. Bone marrow of C57BL/6 mice was isolated, differentiated into mDCs for 8 days, and subsequently analyzed in extracellular flux assays using Agilent Seahorse technology (<b>A</b>). mDCs were seeded overnight into Seahorse XF96 cell culture microplates, stimulated with increasing doses of the indicated β-glucan for 14 cycles (84 min), and analyzed for ECAR and OCR. Afterward, ATP synthase, ETC, and glycolysis were inhibited by sequentially injecting oligomycin, Rotenone/antimycin A (Rot/AA), and 2-deoxyglucose (2-DG), respectively, for 8 cycles (48 min) each. Data are representative of three independent experiments (<b>B</b>). The red arrow indicates the measurement cycle used for statistical analysis. Data are mean results ± SD of three independent experiments (<b>C</b>). Statistical comparison was performed by 1-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: no indication = not significant <span class="html-italic">p</span>-value &gt; 0.05, *** <span class="html-italic">p</span>-value &lt; 0.001, or **** <span class="html-italic">p</span>-value &lt; 0.0001. Abbreviations: ECAR: extracellular acidification rate, OCR: oxygen consumption rate, Rot/AA: rotenone/antimycin A, 2-DG: 2-deoxyglucose.</p>
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<p>β-glucans upregulate the expression of the pattern recognition receptors TLR2 and Dectin-1 on mDCs. Bone marrow of C57BL/6 mice was isolated and differentiated for 8 days into mDCs that were subsequently stimulated with either 12 µg/mL of the indicated β-glucans or 10 µg/mL LPS as a positive control for 24 h (<b>A</b>). Cells were harvested, and surface expression of the indicated pattern recognition receptors was analyzed via flow cytometry. Stimulated samples (colored) were compared to either unstimulated controls (light grey filled) or fluorescence-minus-one (FMO)-stained cells (dashed lines). Co-expression of CD11b and CD18 forming the complement receptor 3 on LPS and β-glucan-stimulated mDCs was investigated by flow cytometry (<b>D</b>). FMOs are shown in blue for PE-Cy7 and green for PE, respectively. Data are representative results from one out of three independent experiments (<b>B</b>,<b>D</b>) or geometric mean fluorescence intensities (Geo. MFI) from three independent experiments (<b>C</b>,<b>E</b>). Dashed lines indicate the expression level of the unstimulated control. Statistical comparison was performed by 1-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: no indication = not significant and <span class="html-italic">p</span>-value &gt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, or **** <span class="html-italic">p</span>-value &lt; 0.0001. Abbreviations: MFI: mean fluorescence intensity, FMO: fluorescence-minus-one.</p>
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<p>β-glucans upregulate the expression of MHCII; surface activation-, and co-stimulatory markers on mDCs. Bone marrow of C57BL/6 mice was isolated and differentiated for 8 days into mDCs that were subsequently stimulated with either 12 µg/mL of the indicated β-glucans or 10 µg/mL LPS as a positive control for 24 h (<b>A</b>). Cells were harvested, and surface expression of MHCII, the indicated activation markers, and co-stimulatory molecules were analyzed via flow cytometry. Stimulated samples (colored) were compared to either unstimulated controls (light grey filled) or fluorescence-minus-one (FMO)-stained cells (dashed lines). Data are representative results from one out of three independent experiments (<b>B</b>) or quantified as geometric mean fluorescence intensities (Geo. MFI) from three independent experiments (<b>C</b>). Dashed lines indicate the expression level of the unstimulated control. Statistical comparison was performed by 1-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: no indication = not significant and <span class="html-italic">p</span>-value &gt; 0.05, * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, or **** <span class="html-italic">p</span>-value &lt; 0.0001. Abbreviations: MFI: mean fluorescence intensity.</p>
Full article ">Figure 5
<p>β-glucan-induced cytokine secretion in part depends on Syk-activation. Bone marrow of C57BL/6 mice was isolated, differentiated into mDCs for 8 days, pre-treated with 0.5 µM of the Syk-inhibitor TAK-659 for 90 min, and subsequently stimulated with either 12 µg/mL of the indicated β-glucans or 10 µg/mL of LPS as a positive control for additional 72 h (<b>A</b>). Bars with solid filling: stimulation without inhibitor pre-treatment, dashed bars: pre-treatment with 0.5 µM TAK-659 followed by the indicated stimulation. The Warburg Effect was measured at OD<sub>570nm</sub>, and the inverted values were normalized to the unstimulated controls (<b>B</b>). The glucose concentration in the cell culture supernatant was determined by using the Glucose (GO) assay kit and measuring the absorption at OD<sub>540nm</sub> (<b>C</b>). The secretion of the cytokines IL-6, IL-1β, IL-10, and IL-12p70 was measured via sandwich ELISA at OD<sub>450nm</sub> (<b>D</b>). Data are mean results of three independent experiments. Statistical comparison was performed by 2-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: ns = not significant and <span class="html-italic">p</span>-value &gt; 0.05, * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, or **** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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<p>β-glucan-stimulated mDCs can suppress both IL-5 and IFNγ production from Th2-primed Bet v 1-specific CD4<sup>+</sup> T cells. Bone marrow of BALB/c mice was isolated and differentiated into mDCs for 8 days. CD4<sup>+</sup> T cells were isolated from BALB/c mice that were previously sensitized twice with 10 µg of the major birch pollen allergen Bet v 1 and 2 mg Alum i.p. The differentiated mDCs and the isolated T cells were co-cultured in 48-well plates and either stimulated with 8 µg of the respective β-glucan (lighter colors) or re-stimulated with 4.3 µg Bet v 1 in the presence of 8 µg of the respective β-glucan (darker colors) for additional 72 h (<b>A</b>). The Warburg Effect was measured at OD<sub>570nm</sub> normalized to the unstimulated controls with or without Bet v 1, respectively (<b>B</b>). Secretion of IL-2, IL-5, IFNγ, IL-10, and IL-13 were determined via sandwich ELISA. Data are mean results ± SD of three independent experiments. Statistical comparison was performed by 1-way ANOVA with correction for multiple comparisons according to Dunnett and indicated as follows: no indication = not significant and <span class="html-italic">p</span>-value &gt; 0.05, * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, or **** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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10 pages, 1634 KiB  
Article
Audit of Antimicrobial Prescribing Trends in 1447 Outpatient Wound Assessments: Baseline Rates and Impact of Bacterial Fluorescence Imaging
by Nancy Trafelet, Scott Johnson, Jill Schroder and Thomas E. Serena
Diagnostics 2024, 14(18), 2034; https://doi.org/10.3390/diagnostics14182034 - 13 Sep 2024
Viewed by 208
Abstract
In the field of wound care, the prescription of antibiotics and antimicrobials is haphazard and irrational, which has led to unchecked overprescribing. Recent Joint Commission guidelines mandate that hospital outpatient clinics develop and implement antimicrobial stewardship programs (ASPs). Yet few ASPs exist in [...] Read more.
In the field of wound care, the prescription of antibiotics and antimicrobials is haphazard and irrational, which has led to unchecked overprescribing. Recent Joint Commission guidelines mandate that hospital outpatient clinics develop and implement antimicrobial stewardship programs (ASPs). Yet few ASPs exist in wound clinics across the United States (US). Understanding baseline prescribing practices and rates in the US is a critical first step toward rational antimicrobial use and effective ASPs. This prospective study was conducted across eight outpatient wound clinics from January–December 2022. Data from consecutive patients attending single-time-point initial visits were recorded, including clinical findings, antimicrobial prescribing trends, and sampling practices. A total of 1438 wounds were included; 964 were assessed by clinical examination (standard of care, SoC), and 474 by clinical examination plus fluorescence imaging. SoC patients were prescribed more concurrent medications on average than fluorescence patients (1.4 vs. 1 per patient). Prescriptions were preferentially topical in the fluorescence group (92% vs. 64%, p > 0.0001), and systemic antibiotics represented 36% of the single items prescribed under SoC (vs. 8% in fluorescence group p < 0.0001). Fluorescence imaging provided objective and actionable information at the bedside, which led to a decrease in the use of antibiotics. Real-time diagnostic technologies are essential in establishing a meaningful ASP. Full article
(This article belongs to the Special Issue The Rise of Diagnostics in the Treatment of Chronic Wounds 2.0)
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<p>(<b>a</b>) Comparative proportional distribution of the treatment selections per single item prescribed (systemic antibiotics versus topical antibiotics and antiseptics, and/or antimicrobial dressings) showing a statistically significant preference for systemic antibiotics in the standard-of-care (SoC group, grey bars) group. Conversely, patients assessed by the standard of care in conjunction with fluorescence imaging (FL group, black bars) were prescribed significantly more topical/local measures and medications. (<b>b</b>) Comparative proportional distribution of treatment selections per patient (systemic antibiotics alone or in combination with topical versus only topical/local treatments) reveals a preference for systemic antibiotics in the SoC (grey bars) group (<span class="html-italic">p</span> &lt; 0.001). Conversely, wound assessments involving fluorescence imaging (black bars) resulted in more topical/local measures and medications.</p>
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<p>Distribution of the types of treatment selected in each one of the study groups. A statistically significant preference for systemic antibiotics is evidenced (in black) in the SoC (standard-of-care) group, representing a third of the chosen prescriptions; however, this type of medication is used in only 8% of the patients assessed in conjunction with fluorescence imaging. In this group, the preferential treatment was antimicrobial dressings, underscoring a marked preference towards local treatment.</p>
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<p>Description of the wound imaging technology employed in select wound care centers within the study, designed to bolster prescription and intervention practices directly at the patient’s bedside. (<b>a</b>) The hand-held fluorescence imaging device capturing standard images and digital wound measurement in ambient light. (<b>b</b>) Fluorescence signals are captured in darkness and appear on the screen once bacterial loads surpass 10<sup>4</sup> CFU/gr of tissue, which corresponds to moderate/heavy accumulation. (<b>c</b>) Lower limb ulcer. (<b>d</b>) Corresponding fluorescence image shows cyan fluorescence (arrow), which appears as a glowing white center surrounded by a blue/green hue. A swab taken from the area of cyan fluorescence (not the wound center) detected heavy growth of <span class="html-italic">Pseudomonas aeruginosa</span>. (<b>e</b>) Hip pressure ulcer. (<b>f</b>) Red fluorescence indicates the presence of a multitude of gram −/+ bacterial species. This wound had a positive growth of <span class="html-italic">Staphylococcus lugdunensi</span> and <span class="html-italic">Providencia stuartii</span> at levels &gt; 10<sup>5</sup> CFU/gr of tissue (sample images courtesy of MolecuLight<sup>®</sup> Inc., Toronto, ON, Canada).</p>
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<p>Example scenarios where fluorescence (FL) imaging guided the best course of action promoting rational use of antimicrobials. On fluorescence images, regions of red indicate chronic inhibitory bacterial loads or bacterial hotspots; normal tissue appears green. Case 1 (<b>a</b>–<b>d</b>): images showed bacterial loads persisted in a larger region than could be debrided. (<b>a</b>) Pre-cleansing/debridement standard image (ST) of a non-healing post-amputation wound site (toes were amputated on a diabetic foot). (<b>b</b>) Corresponding FL image showing extensive bacterial involvement (red) of the wound and surrounding peri-wound tissues. (<b>c</b>) Post-cleansing/debridement ST image. (<b>d</b>) Corresponding FL of the same wound showing persistence of bacterial presence (red) after debridement. The bacterial infiltration is clearly into intact skin; further debridement was not possible. In this case, an antimicrobial dressing and oral antibiotics were used. Case 2: Standard images (<b>e</b>) showing a diabetic foot ulcer (DFU). Its corresponding FL image (<b>f</b>) shows bacterial loads near the surface (red), which are best addressed topically. Systemic antibiotics are unlikely to reach this tissue in patients with poor vascularity. Case 3: (<b>g</b>) standard image of a plantar DFU post-debridement. Post-debridement FL image assessment (<b>h</b>) shows that bacterial loads could not be eliminated completely as evidenced by residual fluorescence. Bacterial fluorescence imagining objectively demonstrates the need for topical antimicrobial use.</p>
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15 pages, 3636 KiB  
Article
Effects of Kimchi Intake on the Gut Microbiota and Metabolite Profiles of High-Fat-Induced Obese Rats
by Dong-Wook Kim, Quynh-An Nguyen, Saoraya Chanmuang, Sang-Bong Lee, Bo-Min Kim, Hyeon-Jeong Lee, Gwang-Ju Jang and Hyun-Jin Kim
Nutrients 2024, 16(18), 3095; https://doi.org/10.3390/nu16183095 - 13 Sep 2024
Viewed by 353
Abstract
With rising global obesity rates, the demand for effective dietary strategies for obesity management has intensified. This study evaluated the potential of kimchi with various probiotics and bioactive compounds as a dietary intervention for high-fat diet (HFD)-induced obesity in rats. Through a comprehensive [...] Read more.
With rising global obesity rates, the demand for effective dietary strategies for obesity management has intensified. This study evaluated the potential of kimchi with various probiotics and bioactive compounds as a dietary intervention for high-fat diet (HFD)-induced obesity in rats. Through a comprehensive analysis incorporating global and targeted metabolomics, gut microbiota profiling, and biochemical markers, we investigated the effects of the 12-week kimchi intake on HFD-induced obesity. Kimchi intake modestly mitigated HFD-induced weight gain and remarkably altered gut microbiota composition, steroid hormones, bile acids, and metabolic profiles, but did not reduce adipose tissue accumulation. It also caused significant shifts in metabolomic pathways, including steroid hormone metabolism, and we found substantial interactions between dietary interventions and gut microbiota composition. Although more research is required to fully understand the anti-obesity effects of kimchi, our findings support the beneficial role of kimchi in managing obesity and related metabolic disorders. Full article
(This article belongs to the Section Prebiotics and Probiotics)
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<p>Comparison of gut microbiota’s relative abundance after 12 weeks of kimchi intervention. (<b>A</b>) Bar charts showing the overall microbial composition at genus levels in feces from rats fed ND, HFD, and KHD diets, with the average relative abundance. (<b>B</b>) Chao1 and Shannon indices calculated after rarefying to an equal number of sequence reads. (<b>C</b>) Principal-coordinate analysis plots of weighted UniFrac distance dissimilarities (PC1 and PC2). (<b>D</b>) Relative abundances of bacteria at the genus level. ND, control; HFD; high-fat diet; KHD, high-fat-kimchi diet. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt;0.001, # <span class="html-italic">p</span>-value &lt; 0.0001. Data represent the relative abundance of microbes analyzed from six samples. Different letters on the bar and box plot indicate significant differences in the <span class="html-italic">t</span>-test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>(<b>A</b>) Metabolite analysis of rats fed HFD and KHD. Partial least-squares discriminant analysis (PLS-DA) score plot obtained from UPLC-Q-TOF MS data of plasma, urine, large intestine, liver, and kidney (<span class="html-italic">n</span> = 10). (<b>B</b>) Fold change of identified metabolites. Metabolites were analyzed using UPLC-Q-TOF MS via an Acquity BEH C18 column (2.1 mm × 100 mm, 1.7 μm) with a positive ESI mode. The qualification of PLS-DA models was evaluated by R2X, R2Y, Q2, and <span class="html-italic">p</span>-values. R2X and R2Y show the fitting quality of the models, while Q2 shows their prediction quality. ND, control; HFD; high-fat diet; KHD, high-fat-kimchi diet.</p>
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<p>Proposed metabolomic pathway associated with HFD and kimchi intake and the relative abundance of metabolites. Box plots present the relative abundance of metabolites analyzed by UPLC-Q-TOF MS, with significant differences determined by <span class="html-italic">t</span>-tests at <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.01 (**), &lt;0.001 (***), and &lt;0.0001 (#). N, normal-diet group; H, high-fat-diet group; K, kimchi-high-fat-diet group; P, plasma; L, liver; K, kidney; LI, large intestinal residues.</p>
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<p>Proposed bile acid and steroid hormone pathway associated with HFD and kimchi intake and their relative abundances. Box plots present the relative abundance of bile acids and steroid hormones analyzed by UPLC-Q-TOF MS, with significant differences determined using <span class="html-italic">t</span>-tests at <span class="html-italic">p</span>-values of &lt;0.05 (*), &lt; 0.01 (**), &lt;0.001 (***), and &lt;0.0001 (#). N, normal-diet group; H, high-fat-diet group; K, kimchi-high-fat-diet group.</p>
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<p>Analysis of correlations of gut microbiota with bile acid and steroid hormones (<b>A</b>), and gut microbiota with identified metabolites’ data (<b>B</b>). The correlation matrix was analyzed and visualized with a heat map. Positive correlations are shown in blue, and negative correlations are shown in red. A dark color means a stronger correlation.</p>
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24 pages, 11964 KiB  
Article
Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China
by Xiaoyuan Zhang, Shudong Wang, Kai Liu, Xiankai Huang, Jinlian Shi and Xueke Li
Remote Sens. 2024, 16(18), 3410; https://doi.org/10.3390/rs16183410 - 13 Sep 2024
Viewed by 360
Abstract
Exploring the dynamic response of land use and ecological vulnerability (EV) to future climate change and human ecological restoration policies is crucial for optimizing regional ecosystem services and formulating sustainable socioeconomic development strategies. This study comprehensively assesses future land use changes and EV [...] Read more.
Exploring the dynamic response of land use and ecological vulnerability (EV) to future climate change and human ecological restoration policies is crucial for optimizing regional ecosystem services and formulating sustainable socioeconomic development strategies. This study comprehensively assesses future land use changes and EV in the Yellow River Basin (YRB), a climate-sensitive and ecologically fragile area, by integrating climate change, land management, and ecological protection policies under various scenarios. To achieve this, we developed an EV assessment framework combining a scenario weight matrix, Markov chain, Patch-generating Land Use Simulation model, and exposure–sensitivity–adaptation. We further explored the spatiotemporal variations of EV and their potential socioeconomic impacts at the watershed scale. Our results show significant geospatial variations in future EV under the three scenarios, with the northern region of the upstream area being the most severely affected. Under the ecological conservation management scenario and historical trend scenario, the ecological environment of the basin improves, with a decrease in very high vulnerability areas by 4.45% and 3.08%, respectively, due to the protection and restoration of ecological land. Conversely, under the urban development and construction scenario, intensified climate change and increased land use artificialization exacerbate EV, with medium and high vulnerability areas increasing by 1.86% and 7.78%, respectively. The population in high and very high vulnerability areas is projected to constitute 32.75–33.68% and 34.59–39.21% of the YRB’s total population in 2040 and 2060, respectively, and may continue to grow. Overall, our scenario analysis effectively demonstrates the positive impact of ecological protection on reducing EV and the negative impact of urban expansion and economic development on increasing EV. Our work offers new insights into land resource allocation and the development of ecological restoration policies. Full article
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<p>Study region. (<b>a</b>) Overview of geographical location and the DEM. (<b>b</b>) Photos taken in July 2023 regarding sediment and topography in the Inner Mongolia reach of the Yellow River Basin. (<b>c</b>) Timeline of critical policy interventions.</p>
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<p>Integrated assessment framework for ecological vulnerability in the YRB under Multi-scenarios coupled with Markov-PLUS–ESA models. Note: LULC: land use/land cover; ECMS: ecological conservation management scenario; HTS: historical trend scenario; UDCS: urban development and construction scenario; PLUS: patch-generating land use simulation; ESA: exposure–sensitivity–adaptation; EV: ecological vulnerability.</p>
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<p>Logistic regression analysis of factors driving land use patterns in the Yellow River Basin. EXP(B) refers to e<sup>B</sup>, where B is the beta coefficient of each variable in the logistic regression model. “―” means that <span class="html-italic">p</span> ≤ 0.05 does not pass the test and is excluded.</p>
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<p>Spatial pattern of LULC in (<b>a</b>) 2010 and 2020 (Ground Truth) and (<b>b</b>) 2020 by PLUS model simulation. (<b>c</b>) The LULC transferred information from 2010 to 2020. PA: Producer’s Accuracy.</p>
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<p>Land use modeling under different scenarios in the YRB from 2030 to 2070. (<b>a</b>) The spatial pattern of LULC; (<b>b</b>) the area statistics for different LULC.</p>
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<p>(<b>a</b>) The spatial distribution of future ecological vulnerability and (<b>b</b>) the percentage of ecological vulnerability area at different levels (2020, 2040, 2060) in the YRB under different scenarios.</p>
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<p>(<b>a</b>) EVSI values under different scenarios in the YRB, and (<b>b</b>) EVSI change rates under the ecological conservation management scenario and the urban development and construction scenario compared to the historical trend scenario.</p>
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<p>Populations under different levels of ecological vulnerability in future scenarios in the YRB.</p>
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15 pages, 878 KiB  
Article
Qualitative Analysis of Student Reflections on Preclinical Dental Implant Education
by Hassan Ziada, Michael Webberson, Rassilee Sharma and Neamat Hassan Abubakr
Dent. J. 2024, 12(9), 293; https://doi.org/10.3390/dj12090293 - 13 Sep 2024
Viewed by 386
Abstract
Dental implant education is required to prepare students for independent general practice. This investigation aimed to assess students’ perceptions of their educational experience and training in a preclinical dental implant introduction course, using reflective logs anonymously extracted from course portfolios. Methods: This study [...] Read more.
Dental implant education is required to prepare students for independent general practice. This investigation aimed to assess students’ perceptions of their educational experience and training in a preclinical dental implant introduction course, using reflective logs anonymously extracted from course portfolios. Methods: This study employed qualitative research methodology to analyze second-year dental students’ reflections on their educational and development of psychomotor skills in a preclinical course focusing on dental implants at the University of Nevada, Las Vegas. These reflections served as the primary data source for qualitative analysis. The analysis was facilitated using NVivo software version 12 plus, which assisted in data coding and the organization of these codes into meaningful units, patterns, and themes. Results: Four themes emerged, which interrelated to each other and to the research question. Students reported positive course outcomes in dental implant learning, improvements in applying theoretical implant knowledge while developing practical skills, digitally scanning implant cases for the final restoration, and enhancement of their insight in evidence-based restoratively driven implant planning. They generally found the hands-on experience to have improved their understanding of the dental implant as an option for restoration. Although there were challenges, students viewed these as learning opportunities. For us, as educators, it provided invaluable feedback to understand students’ perceptions of difficulties in knowledge acquisition and psychomotor skill development in placing and restoring dental implants. Conclusions: Within the limitation of this study, students expressed a positive perception of their learning experience in the introductory course on dental implants. Full article
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<p>An introduction to dental implants in dental education illustrated with a conceptual framework.</p>
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<p>Images taken by students from reflection logs. (<b>a</b>) socket preservation, (<b>b</b>) implant placement, (<b>c</b>) closed tray impression, (<b>d</b>) open tray impression, and (<b>e</b>) digital implant impression.</p>
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9 pages, 221 KiB  
Article
Vacuum Erection Device Plus Once-Daily Tadalafil Improve Clinical Outcomes after Extracorporeal Shock Wave Therapy in Men Affected by Erectile Dysfunction Associated with Peyronie’s Disease
by Lucio Dell’Atti, Viktoria Slyusar, Piero Ronchi and Chiara Cambise
Life 2024, 14(9), 1162; https://doi.org/10.3390/life14091162 - 13 Sep 2024
Viewed by 231
Abstract
Background: The purpose of this study is to examine the combination of the mechanical effects of penile therapy with vacuum erection devices (VEDs) plus PDE5i, which improve clinical outcomes after extracorporeal shockwave therapy (ESWT) in men affected by erectile dysfunction (ED) associated with [...] Read more.
Background: The purpose of this study is to examine the combination of the mechanical effects of penile therapy with vacuum erection devices (VEDs) plus PDE5i, which improve clinical outcomes after extracorporeal shockwave therapy (ESWT) in men affected by erectile dysfunction (ED) associated with Peyronie’s disease (PD). Methods: A total of 153 medical records of patients affected by PD in stable stage with ED and treated with ESWT were divided into two groups. Group A (GA) included 72 men treated with ESWT, mechanical stretching with VEDs and PDE5ì (Tadalafil 5 mg), and Group B (GB) included 81 men who received only ESWT plus Tadalafil 5 mg with the same protocol of GA. The patients in both groups were assessed at baseline and follow-up for erectile function, painful erections, penile plaque size, and penile curvature. The results were evaluated at baseline and 3, 6, and 12 months after the treatments. Results: Three months after the treatment, GA patients had a reduction in penile curvature degree from a mean ± SD of 33.91 ± 8.34° at baseline to a mean ± SD of 19.46 ± 7.15° after 12 months, whereas pain in an erection or during intercourse was resolved completely in 88.9% of the patients. The mean ± SD IIEF-15 score of patients affected by severe/moderate ED further improved significantly in the GA group (p < 0.001) after 3, 6, and 12 months of treatment. There were no permanent adverse sequelae after treatments. Conclusions: The regular use of a VED plus Tadalafil in patients who had undergone ESWT significantly provided more benefit in patients with PD in terms of penile deformity, pain, and erectile function. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Management of Peyronie’s Diseases)
12 pages, 264 KiB  
Article
Breaking Siloed Policies: Applying a Gender-Based Analysis Plus (GBA+) to Homelessness during Pregnancy in Canada
by Barbara Chyzzy, Sepali Guruge, Kaitlin Schwan, Joon Lee and Stacia Stewart
Soc. Sci. 2024, 13(9), 486; https://doi.org/10.3390/socsci13090486 - 13 Sep 2024
Viewed by 354
Abstract
Amongst women and gender diverse (WGD) populations experiencing homelessness in Canada, one of the most vulnerable and understudied subgroups are those who are pregnant. A key barrier to accessing housing for this population are policies that lead to siloed sector work and complicated [...] Read more.
Amongst women and gender diverse (WGD) populations experiencing homelessness in Canada, one of the most vulnerable and understudied subgroups are those who are pregnant. A key barrier to accessing housing for this population are policies that lead to siloed sector work and complicated and inaccessible services. Frequent relocation and fragmented access to essential prenatal and postnatal support are the result. Experiences of homelessness for WGD people are distinct from that of cisgender men; the former tend to experience ‘hidden homelessness’ and are more likely to rely on relational, precarious, and sometimes dangerous housing options. The homelessness sector, its policies, and services tend to be cis-male-centric because of the greater visibility of homelessness in cis-men and fail to meet pregnant WGD people’s needs. This paper describes the findings from a one-day symposium that was held in Toronto, Canada, in June 2023 that aimed to address the siloed approach to housing provision for pregnant WGD people experiencing homelessness. A key focus was to understand how to incorporate a gendered and intersectional discourse into practice and policy. Adopting a gender-based analysis plus (GBA+) approach within policymaking can help illuminate and address why certain groups of WGD people are disproportionately affected by homelessness, including Indigenous Peoples, recent immigrants, racialized people, and those experiencing intimate partner violence, poverty, and substance use. Full article
14 pages, 3860 KiB  
Article
Analysis of the Genetic Diversity and Genetic Structure of Jiangshan Black Pigs Using Single Nucleotide Polymorphism (SNP) Chips
by Mingfei Zhu, Litong Wang, Zhibo Ma, Yangcang Mao, Guoshui Wang, Rong Zheng, Bo Zuo and Yizhen Wang
Animals 2024, 14(18), 2660; https://doi.org/10.3390/ani14182660 - 12 Sep 2024
Viewed by 189
Abstract
The Jiangshan black pig is an indigenous pig breed in China, renowned for its superior meat quality and adaptability to roughage. However, the population of Jiangshan black pigs has dwindled due to the introduction of cosmopolitan pig breeds and the outbreak of African [...] Read more.
The Jiangshan black pig is an indigenous pig breed in China, renowned for its superior meat quality and adaptability to roughage. However, the population of Jiangshan black pigs has dwindled due to the introduction of cosmopolitan pig breeds and the outbreak of African swine fever, putting them at risk of extinction. To offer insights into the conservation and breeding of Jiangshan black pigs, this study involved 118 Jiangshan black pigs as the research subjects and employed the Zhongxin-1 Porcine Breeding Array PLUS chip to detect whole-genome SNPs. Additionally, various software tools were utilized to accurately analyze the genetic diversity, phylogenetic relationship, inbreeding coefficient, and pedigree structure of the Jiangshan black pig conservation population. The findings indicated that the effective population size (Ne) of the Jiangshan black pig was 4.9, with an average inbreeding coefficient of 0.253 within the population. A genetic relationship analysis identified that the 16 male pigs were clustered into four families, and the 100 female pigs were also assigned to these familial groups. Furthermore, two female pigs were classified as “other” due to their distant genetic relatedness to all the males. These results contribute to a better understanding of the current status of the conservation of the Jiangshan black pig population and offer a theoretical foundation for the development of conservation strategies. Full article
(This article belongs to the Special Issue Genetic Improvement in Pigs)
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<p>Distribution of SNPs on each chromosome before and after quality control. The abscissa represents the chromosome number, and the ordinate represents the number of SNPs.</p>
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<p>(<b>A</b>) Distribution of PIC. The abscissa represents the PIC interval value, and the ordinate represents the SNP proportion. (<b>B</b>) Distribution of MAF. The abscissa represents the MAF interval, and the ordinate represents the SNP proportion.</p>
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<p>(<b>A</b>) Visualization results of the genetic relationship analysis based on the IBS distance matrix. The figure illustrates the genetic distance between two individuals, with color proximity indicating a closer genetic relationship. The individual ID is represented by the vertical and horizontal coordinates. (<b>B</b>) Visualization results of the genetic relationship analysis based on the G matrix. The figure illustrates the coefficient of the genetic relationship between two individuals, where the color proximity indicates the closeness of the genetic relationship. The abscissa and ordinate axes represent the individual IDs.</p>
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<p>(<b>A</b>) Distribution of ROH length in Jiangshan black pig population. (<b>B</b>) Distribution of ROH quantity on each chromosome in Jiangshan black pig population. (<b>C</b>) Distribution of ROH sample numbers in Jiangshan black pigs. The abscissa represents the length interval of ROH, and the ordinate represents the number of individuals. (<b>D</b>) Distribution of ROH quantities in the Jiangshan Black Pig Population. (<b>E</b>) Distribution ratio of inbreeding coefficient (F<sub>ROH</sub>) based on ROH in Jiangshan black pigs. The violin plot is primarily utilized to illustrate the distribution of data. The central white dot represents the median of the group, and the upper and lower edges of the black box in the middle correspond to the upper and lower quartiles of the group, respectively. The width of the violin plot indicates the probability density distribution of the group, a wider violin plot suggests a higher number of samples at that level, and conversely, a narrower plot indicates fewer samples.</p>
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<p>(<b>A</b>) Cluster analysis results for boars in Jiangshan black pig population. (<b>B</b>) Cluster analysis results for all Jiangshan black pigs. The color in the evolutionary tree is the boar sample, and one color represents a family.</p>
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13 pages, 1564 KiB  
Article
Genotype by Environment Interaction (GEI) Effect for Potato Tuber Yield and Their Quality Traits in Organic Multi-Environment Domains in Poland
by Beata Ewa Tatarowska, Jarosław Plich, Dorota Milczarek, Dominika Boguszewska-Mańkowska and Krystyna Zarzyńska
Agriculture 2024, 14(9), 1591; https://doi.org/10.3390/agriculture14091591 - 12 Sep 2024
Viewed by 313
Abstract
Potatoes (Solanum tuberosum L.) are an important plant crop, whose yield may vary significantly depending on pedo-climatic conditions and genotype. Therefore, the analysis of the genotype × environment interaction (GEI) is mandatory for the setup of high-yielding and stable potato genotypes. This [...] Read more.
Potatoes (Solanum tuberosum L.) are an important plant crop, whose yield may vary significantly depending on pedo-climatic conditions and genotype. Therefore, the analysis of the genotype × environment interaction (GEI) is mandatory for the setup of high-yielding and stable potato genotypes. This research evaluated the tuber yield (t ha−1) and yield characteristic of nine potato cultivars over 3 years and 4 organic farms in Poland by additive main effects and multiplicative interactions (AMMIs) and genotype plus genotype environment interaction (GGE) biplot analyses. The results of these analyses indicated significant differentiation of tuber yield among genotypes in individual environments. It was found that the environment (E, where E = L (localization) × Y (year)), genotype (G) and GEI, but not replication, significantly affected tuber yield. The AMMI analysis showed that the environment factor explained the most considerable part of tuber yield variations (52.3%), while the GEI and G factors explained a much lower part of the variations. The AMMI and GGE analyses identified five cvs.: Twister (46.4 t ha−1), Alouette (35.8 t ha−1), Kokra (34.8 t ha−1), Levante (33.1 t ha−1), and Gardena (30.4 t ha−1), as leading cultivars in the studied organic farms due to their high productivity coupled with yield stability. The statistical measure Kang (YSi) showed that these cvs. can be considered as adaptable to a wide range of organic environments. In the case of morphological traits of tubers (tuber shape and depth of tuber eyes), the most important factor influencing both these traits was genotype (G). Influence of other factors, like localization (L), year (Y), and all interactions (double and triple), were much less significant or insignificant. In case of taste and non-darkening of tuber flesh, the main effects which significantly affected the values of these traits were genotype (G) and localization (L). We observed that cooking type can vary depending on the year (Y) and the localization (L). Full article
(This article belongs to the Section Crop Genetics, Genomics and Breeding)
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<p>Map of Poland with location of organic farms.</p>
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<p>Biplot analysis of GGE for first two IPC scores (IPC1 vs. IPC2) for tuber yield (2020–2022).</p>
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<p>Biplot analysis of GGE for the IPC1 scores and tuber yield of 9 potato cultivars across 12 environments (2020–2022).</p>
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<p>Taste of potato cultivars (2020–2021).</p>
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Article
Unveiling Niaprazine’s Potential: Behavioral Insights into a Re-Emerging Anxiolytic Agent
by Hanna Trebesova, Martina Monaco, Sara Baldassari, Giorgia Ailuno, Edilio Lancellotti, Gabriele Caviglioli, Anna Maria Pittaluga and Massimo Grilli
Biomedicines 2024, 12(9), 2087; https://doi.org/10.3390/biomedicines12092087 - 12 Sep 2024
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Abstract
Ongoing global research actions seek to comprehensively understand the adverse impact of stress and anxiety on the physical and mental health of both human beings and animals. Niaprazine (NIA) is a chemical compound that belongs to the class of piperazine derivatives. This compound [...] Read more.
Ongoing global research actions seek to comprehensively understand the adverse impact of stress and anxiety on the physical and mental health of both human beings and animals. Niaprazine (NIA) is a chemical compound that belongs to the class of piperazine derivatives. This compound has recently gained renewed attention due to its potential therapeutic properties for treating certain conditions such as anxiety. Despite its potential benefits, the behavioral effects of NIA have not been thoroughly investigated. This study aimed to examine NIA’s potential as an anti-anxiety and anti-stress agent. After administering either vehicle or NIA in their drinking water to mice for 14 days, we conducted behavioral analyses using the Marble Burying Test and the Elevated Plus Maze test. NIA-treated mice spend more time in the open arms and bury fewer marbles. Moreover, a stability study confirmed the linear relationship between NIA concentration and its response across concentrations encompassing the NIA mother solution and the NIA solutions administered to mice. Also, a preliminary synaptic toxicity analysis showed no direct damage to cortical nerve endings. Here, we show that NIA can modulate anxiety-related behaviors without significantly impacting exploratory activity or adverse effects. Our work describes new findings that contribute to the research on safer and more tolerable anxiety management options. Full article
(This article belongs to the Section Drug Discovery, Development and Delivery)
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<p>Cytofluorimetric analysis of cortical synaptosomes exposed to increasing concentrations of NIA for 1 h. Representative histograms of labeled synaptosomes with Calcein AM (<b>A</b>) and synaptosomes labeled with Annexin V (<b>B</b>). Representative double labeling of synaptosomes with Calcein-AM/Annexin-V PE and the percentage of apoptotic particles after 1 µM NIA (upper right corner) (<b>C</b>). Box plot representation of the mean of three experiments (n = 3 independent mice) performed in triplicate. Data are expressed as mean ± SEM (<b>D</b>). Analysis of variance was performed by ANOVA followed by Tukey’s multiple comparison test.</p>
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<p>Body weight (<b>A</b>) and the amount of water consumed (<b>B</b>) were monitored during the treatment period. Data are expressed as mean ± SEM. Analysis of variance was performed by ANOVA followed by Tukey’s multiple comparison test. No significant difference was registered when comparing the body weight of control (CTRL) with that of treated (NIA) mice. Treated mice did not drink significantly more than control mice.</p>
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<p>Experimental design of Niaprazine study based on ARRIVE 2.0 guidelines.</p>
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<p>Representative chromatograms of NIA aqueous solutions after 4-day storage at room temperature.</p>
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<p>Bidimensional representation of Principal Component Analysis (PCA) shows the relationships among variables and two observed groups (the disposition of animals in the environment). Green arrows point in the direction of each variable. The control group was represented in light blue (n = 6) and the treated group in green (n = 8). Light blue dots represent each control mouse, while dark blue dots represent treated mice. Each group is described by a polygon.</p>
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<p>PCA analysis was performed using locomotor and exploratory parameters obtained from MT and EPM. Tridimensional representation shows the disposition of animals in the environment (<b>A</b>). Arrows point in the direction of each variable. The control group is represented in green and the treated group in light blue. (<b>B</b>) The contribution and strength of the variables to the principal components.</p>
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<p>Representative trajectories for control and NIA-treated mice in the MT arena are displayed in (<b>A</b>,<b>B</b>), respectively. (<b>C</b>) Frequency of instantaneous speed. Analysis of variance was performed by ANOVA followed by Tukey’s multiple comparison test (n = 14).</p>
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<p>Immobility parameters during the Marble Test. Panel (<b>A</b>) shows the Frozen events (less than 3 mm movement in 5 s) in the control (white) and in the treated (grey) groups. Panel (<b>B</b>) illustrates the total time frozen in the control (white) and in the treated (grey) groups. Blue and black dots indicate the mean of control and treated groups, respectively; error bars indicate the standard error of the mean (SEM). The NIA group statistically increased the number of frozen events compared to the control group (<b>A</b>), <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> = 0.021; there was no significant difference in total time frozen between the two groups.</p>
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<p>Representative heatmap in Marble Test. Each image shows preferred spots of frozen events in control (<b>A</b>) and NIA-treated (<b>B</b>).</p>
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<p>The time spent in the open arm was significantly higher in the NIA group compared to the control during EPM, represented by box plots (<b>A</b>). The number of transitions between the open and closed areas of the maze does not show statistical difference, represented by a bar chart (<b>B</b>). The white box and bar represent the control group (n = 6); the grey box and bar are used for the NIA group (n = 8). Data are expressed as mean ± SEM. * <span class="html-italic">p</span> = 0.025 vs. control, two-tailed Student’s <span class="html-italic">t</span>-test.</p>
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