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Search Results (2,258)

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13 pages, 3249 KiB  
Article
Machine Learning Diagnostic Model for Early Stage NSTEMI: Using hs-cTnI 1/2h Changes and Multiple Cardiovascular Biomarkers
by Junyi Wu, Yilin Ge, Ke Chen, Siyu Chen, Jiashu Yang and Hui Yuan
Diagnostics 2024, 14(20), 2322; https://doi.org/10.3390/diagnostics14202322 (registering DOI) - 18 Oct 2024
Abstract
Background: This study demonstrates differences in the distribution of multiple cardiovascular biomarkers between non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina (UA) patients. Diagnostic machine learning predictive models measured at the time of admission and 1/2 h post-admission, achieving competitive diagnostic predictive results. [...] Read more.
Background: This study demonstrates differences in the distribution of multiple cardiovascular biomarkers between non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina (UA) patients. Diagnostic machine learning predictive models measured at the time of admission and 1/2 h post-admission, achieving competitive diagnostic predictive results. Objective: This study aims to explore the diagnostic value of changes in high-sensitivity cardiac troponin I (hs-cTnI) levels in patients with suspected NSTEMI. Methods: A total of 267 patients presented with chest pain, requiring confirmation of acute coronary syndrome (ACS) subtypes (NSTEMI vs. UA). Hs-cTnI and other cardiac markers, such as creatine kinase-MB (CK-MB) and Myoglobin (Myo), were analyzed. Machine learning techniques were employed to assess the application of hs-cTnI level changes in the clinical diagnosis of NSTEMI. Results: Levels of CK-MB, Myo, hs-cTnI measured at admission, hs-cTnI measured 1–2 h after admission, and NT-proBNP in NSTEMI patients were significantly higher than those in UA patients (p < 0.001). There was a positive correlation between hs-cTnI and CK-MB, as well as Myo (R = 0.72, R = 0.51, R = 0.60). The optimal diagnostic model, Hybiome_1/2h, demonstrated an F1-Score of 0.74, an AUROC of 0.96, and an AP of 0.89. Conclusions: This study confirms the significant value of hs-cTnI as a sensitive marker of myocardial injury in the diagnosis of NSTEMI. Continuous monitoring of hs-cTnI levels enhances the accuracy of distinguishing NSTEMI from UA. The models indicate that the Hybiome hs-cTnI assays perform comparably well to the Beckman assays in predicting NSTEMI. Moreover, incorporating hs-cTnI measurements taken 1–2 h post-admission significantly enhances the model’s effectiveness. Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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<p>Distribution of log-transformed biomarker values at admission. Histograms represent the log-transformed values of the cardiac biomarkers CK-MB, Beckman-hs-cTnI, Myoglobin (MYO), and NT-proBNP measured at admission. The blue density line overlays the histogram, illustrating the probability distribution of each biomarker. The x-axis represents the log-transformed values, while the y-axis indicates the density.</p>
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<p>Correlation plots between log-transformed cardiac biomarker values at admission. Scatter plots display pairwise correlations between the log-transformed values of CK-MB, Beckman-hs-cTnI, Myoglobin(MYO), and NT-proBNP at admission. The red line represents a locally weighted scatterplot smoothing (LOESS) fit, while the R values and p-values indicate the strength and significance of the correlation. Each plot shows a distinct relationship between two biomarkers, highlighting both linear and non-linear patterns of association across the dataset.</p>
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<p>ROC and Precision–Recall curves for 3-fold cross-validation across (<b>a</b>) Beckman_0h, (<b>b</b>) Hybiome_0h, (<b>c</b>) Beckman_1/2h, and (<b>d</b>) Hybiome_1/2h models. ROC Curves (left panels): The blue line represents the mean ROC curve across the three folds, while the shaded area around the mean curve denotes the standard deviation (SD). This highlights the model’s consistency and reliability in distinguishing between classes across different subsets of data. The Area Under the Curve (AUC) values are also provided for each fold, with the overall mean AUC and its SD indicated, demonstrating the model’s discriminative power. Precision–Recall Curves (Right Panels): Like the ROC curves, the mean Precision–Recall curve is illustrated with a blue line, and the shaded region represents the standard deviation (SD). The Average Precision (AP) values for each fold are provided, alongside the mean AP and its SD.</p>
Full article ">Figure 3 Cont.
<p>ROC and Precision–Recall curves for 3-fold cross-validation across (<b>a</b>) Beckman_0h, (<b>b</b>) Hybiome_0h, (<b>c</b>) Beckman_1/2h, and (<b>d</b>) Hybiome_1/2h models. ROC Curves (left panels): The blue line represents the mean ROC curve across the three folds, while the shaded area around the mean curve denotes the standard deviation (SD). This highlights the model’s consistency and reliability in distinguishing between classes across different subsets of data. The Area Under the Curve (AUC) values are also provided for each fold, with the overall mean AUC and its SD indicated, demonstrating the model’s discriminative power. Precision–Recall Curves (Right Panels): Like the ROC curves, the mean Precision–Recall curve is illustrated with a blue line, and the shaded region represents the standard deviation (SD). The Average Precision (AP) values for each fold are provided, alongside the mean AP and its SD.</p>
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<p>The bar plots display the mean absolute SHAP values of features calculated from models trained using clinical data to predict outcomes of UA and NSTEMI. The left plot represents the feature importance for the Beckman_0h model, while the right plot corresponds to the Beckman_1/2h model. Blue bars indicate the contribution to predicting UA, and red bars show the contribution to predicting NSTEMI.</p>
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13 pages, 2159 KiB  
Article
Oral Administration of a Novel, Synthetic Ketogenic Compound Elevates Blood β-Hydroxybutyrate Levels in Mice in Both Fasted and Fed Conditions
by Maricel A. Soliven, Christopher Q. Rogers, Michael S. Williams, Natalya N. Thomas, Edward Turos and Dominic P. D’Agostino
Nutrients 2024, 16(20), 3526; https://doi.org/10.3390/nu16203526 (registering DOI) - 18 Oct 2024
Abstract
Background/Objectives: Elevating ketone levels with therapeutic nutritional ketosis can help to metabolically manage disease processes associated with epilepsy, diabetes, obesity, cancer, and neurodegenerative disease. Nutritional ketosis can be achieved with various dieting strategies such as the classical ketogenic diet, the modified Atkins diet, [...] Read more.
Background/Objectives: Elevating ketone levels with therapeutic nutritional ketosis can help to metabolically manage disease processes associated with epilepsy, diabetes, obesity, cancer, and neurodegenerative disease. Nutritional ketosis can be achieved with various dieting strategies such as the classical ketogenic diet, the modified Atkins diet, caloric restriction, periodic fasting, or the consumption of exogenous ketogenic supplements such as medium-chain triglycerides (MCTs). However, these various strategies can be unpleasant and difficult to follow, so that achieving and sustaining nutritional ketosis can be a major challenge. Thus, investigators continue to explore the science and applications of exogenous ketone supplementation as a means to further augment the therapeutic efficacy of this metabolic therapy. Methods: Here, we describe a structurally new synthetic triglyceride, glycerol tri-acetoacetate (Gly-3AcAc), that we prepared from glycerol and an acetoacetate precursor that produces hyperketonemia in the therapeutic range (2–3 mM) when administered to mice under both fasting and non-fasting conditions. Animal studies were undertaken to evaluate the potential effects of eliciting a ketogenic response systemically. Acute effects (24 h or less) were determined in male VM/Dk mice in both fasted and unfasted dietary states. Results: Concentration levels of β-hydroxybutyrate in blood were elevated (βHB; 2–3 mM) under both conditions. Levels of glucose were reduced only in the fasted state. No detrimental side effects were observed. Conclusions: Pending further study, this novel compound could potentially add to the repertoire of methods for inducing therapeutic nutritional ketosis. Full article
(This article belongs to the Special Issue Dietary Lipids in Health and Disease Prevention)
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<p>Examples of ketone bodies and relevant exogenous ketones: (<b>A</b>) the ketone bodies, β-hydroxybutyrate, acetoacetate, and acetone; (<b>B</b>) β-hydroxybutyrate salt of sodium; (<b>C</b>) 1,3-butanediol; (<b>D</b>) 3-hydroxy butyl 3-hydroxybutanoate ester; and (<b>E</b>) 1,3-butanediol diacetoacetate diester.</p>
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<p>Synthesis of propane-1, 2, 3-triyl tris (3-oxobutanoate) (common name, glycerol tri-acetoacetate (<b>1</b>)), abbreviated as Gly-3AcAc.</p>
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<p><b>Experiment 1. Mice were fasted from 2 h before gavage to 5 h after gavage.</b> (<b>A</b>) The average of each group’s blood glucose in mg/dL at each timepoint is shown. For the overall responses, compared to the control group (0 mg/kg), the treatment groups showed significant differences as follows: at 2.5 mg/kg <span class="html-italic">p</span> &lt; 0.01; at 5.0 mg/kg <span class="html-italic">p</span> &lt; 0.0001; at 7.5 mg/kg <span class="html-italic">p</span> &lt; 0.0001. (<b>B</b>) The average of each group’s blood BHB in mM at each timepoint is shown. Significant difference from the control group as follows: at 2.5 mg/kg <span class="html-italic">p</span> &lt; 0.001; at 5.0 mg/kg <span class="html-italic">p</span> &lt; 0.0001; at 7.5 mg/kg <span class="html-italic">p</span> &lt; 0.0001. (<b>C</b>) The average of each group’s glucose ketone index (GKI) at each timepoint is shown. Significant difference from the control group as follows: at 2.5 mg/kg <span class="html-italic">p</span> &lt; 0.0001; at 5.0 mg/kg <span class="html-italic">p</span> &lt; 0.0001; at 7.5 mg/kg <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) BHB C<sub>max</sub>, the maximum BHB levels measured for each individual test subject are shown. For all line graphs representing data, horizontal bars indicate timepoints when treatment and control measurements are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05). For all column graphs, groups of data points with shared alphabetic symbols are not significantly different from each other.</p>
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<p><b>Experiment 2: Mice were fasted from 2 h before gavage to 24 h after gavage.</b> Horizontal bars indicate timepoints when treatment and control measurements were significantly different from each other (<span class="html-italic">p</span> &lt; 0.05). (<b>A</b>) The average of each group’s blood glucose in mg/dL at each timepoint is shown. For the overall responses, compared to the control group, the treatment group was significantly different: <span class="html-italic">p</span> &lt; 0.05. (<b>B</b>) The average of each group’s blood BHB in mM at each timepoint is shown. For the overall responses, compared to the control group, the treatment group was significantly different: <span class="html-italic">p</span> &lt; 0.05. (<b>C</b>) The average of each group’s glucose ketone index (GKI) at each timepoint. For the overall responses, compared to the control group, the treatment group was significantly different: <span class="html-italic">p</span> &lt; 0.05. (<b>D</b>) BHB C<sub>max</sub>, the maximum BHB levels measured for each individual test subject are shown. Groups of data points with shared alphabetic symbols are not significantly different.</p>
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<p><b>Experiment 3: Mice were fasted from 2 h before gavage to 4 h after gavage.</b> (<b>A</b>) The average of each group’s blood glucose in mg/dL at each timepoint. (<b>B</b>) The average of each group’s blood BHB in mM at each timepoint. (<b>C</b>) Serum BHB at 4 h as determined by LCMS. <span class="html-italic">p</span> &lt; 0.005. LCMS quantifies both enantiomers of BHB. (<b>D</b>) Serum AcAc at 4 h as determined by LCMS. <span class="html-italic">p</span> &lt; 0.05. Groups of data points with shared alphabetic symbols are not significantly different.</p>
Full article ">Figure 5 Cont.
<p><b>Experiment 3: Mice were fasted from 2 h before gavage to 4 h after gavage.</b> (<b>A</b>) The average of each group’s blood glucose in mg/dL at each timepoint. (<b>B</b>) The average of each group’s blood BHB in mM at each timepoint. (<b>C</b>) Serum BHB at 4 h as determined by LCMS. <span class="html-italic">p</span> &lt; 0.005. LCMS quantifies both enantiomers of BHB. (<b>D</b>) Serum AcAc at 4 h as determined by LCMS. <span class="html-italic">p</span> &lt; 0.05. Groups of data points with shared alphabetic symbols are not significantly different.</p>
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<p><b>Experiment 4: Food restriction was not implemented.</b> (<b>A</b>) The average of each group’s blood glucose in mg/dL at each timepoint. (<b>B</b>) The average of each group’s blood BHB in mM at each timepoint. (<b>C</b>) The average of each group’s glucose ketone index (GKI) at each timepoint. (<b>D</b>) BHB C<sub>max</sub>, the maximum BHB levels measured for each individual test subject are shown, <span class="html-italic">p</span> = 0.016. Groups of data points with shared alphabetic symbols are not significantly different. For all line graphs representing data, horizontal bars or asterisks indicate timepoints when treatment and control measurements are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05).</p>
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15 pages, 3095 KiB  
Article
Analyses of Rhizosphere Soil Physicochemical Properties and Microbial Community Structure in Cerasus humilis Orchards with Different Planting Years
by Xiaopeng Mu, Jing Wang, Hao Qin, Jingqian Ding, Xiaoyan Mou, Shan Liu, Li Wang, Shuai Zhang, Jiancheng Zhang and Pengfei Wang
Horticulturae 2024, 10(10), 1102; https://doi.org/10.3390/horticulturae10101102 - 17 Oct 2024
Viewed by 207
Abstract
Cerasus humilis has been widely used as a key ecological improvement plant species in barren lands in Northern China; however, the soil improvement effects of long-term C. humilis planting have rarely been reported. Our study aimed to determine the effects of planting C. [...] Read more.
Cerasus humilis has been widely used as a key ecological improvement plant species in barren lands in Northern China; however, the soil improvement effects of long-term C. humilis planting have rarely been reported. Our study aimed to determine the effects of planting C. humilis after 3, 6, and 10 years on the physicochemical properties and microbial community structures of the rhizosphere soil. pH decreased significantly with increasing time. Organic matter (OM), total phosphorus (TP), available phosphorus (AP), total potassium (TK), and available potassium (AK) increased gradually from 3 to 10 years. Alkaline and total nitrogen increased significantly and peaked at 6 years. Alkaline phosphatase, urease, sucrase, and hydrogen peroxide activities peaked at 6 years and decreased. Significant differences occurred in C. humilis rhizosphere bacterial and fungal community diversity and richness. Ace, Chaol, Shannon, and Simpson indices indicated diversity and richness of bacterial and fungal communities peaked at 3 and 10 years, respectively. Soil physicochemical properties, except pH, were positively significantly correlated with microbial community structure. AK and TK were the main factors for bacteria and fungi, respectively, with time. Increases in C. humilis rhizosphere soil microbial community relative abundance may be attributed to beneficial bacteria (Acidobacteria, Proteobacteria, and Actinobacteria) and fungi (Ascomycota, Mortierellomycota, and Basidiomycota). Physicochemical and soil and microbial community structure properties gradually improved; however, with time, adequate nutritional supplementation was needed to prevent decreased microbial community richness and diversity. Full article
(This article belongs to the Section Plant Nutrition)
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<p>Location map of the <span class="html-italic">Cerasus humilis</span> planting site in this study.</p>
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<p>PCoA of rhizosphere soil bacterial (<b>a</b>) and fungal (<b>b</b>) community structure based on Bray–Curtis results. Note: 3a_RC, 6a_RC, and 10a_RC represented rhizosphere soil of <span class="html-italic">Cerasus humilis</span> planted for 3, 6 and 10 years, respectively.</p>
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<p>Relative abundance of <span class="html-italic">Cerasus humilis</span> rhizosphere soil microbial communities at phylum and genus levels in different planting years. Note: (<b>a</b>,<b>b</b>) represent bacteria abundance at the phylum and the genus level, respectively; (<b>c</b>,<b>d</b>) represent fungi abundance at the phylum and the genus level, respectively.</p>
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<p>RDA analysis of <span class="html-italic">Cerasus humilis</span> rhizosphere soil at 10 dominant bacterial (<b>a</b>) and fungal (<b>b</b>) phylum and soil factors. Note: pH, TN, TP, TK, AN, AP, AK, and OM represent the pH value, total nitrogen, total phosphorus, total potassium, available nitrogen, available phosphorus, available potassium, and soil organic matter, respectively.</p>
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<p>Correlation heat map of <span class="html-italic">Cerasus humilis</span> rhizospheric soil at 10 dominant bacterial (<b>a</b>) and fungal (<b>b</b>) phyla with soil factors. Note: pH, TN, TP, TK, AN, AP, AK, and OM represent the pH value, total nitrogen, total phosphorus, total potassium, available nitrogen, available phosphorus, available potassium, and organic matter, respectively. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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15 pages, 1538 KiB  
Article
Scoliidines: Neuroprotective Peptides in Solitary Scoliid Wasp Venoms
by Carlos Alberto-Silva, Fernanda Calheta Vieira Portaro, Roberto Tadashi Kodama, Lais Gomes, Brenda Rufino da Silva, Felipe Assumpção da Cunha e Silva, Ken-ichi Nihei and Katsuhiro Konno
Toxins 2024, 16(10), 446; https://doi.org/10.3390/toxins16100446 - 17 Oct 2024
Viewed by 175
Abstract
A comprehensive LC-MS study examined the venom components of the solitary scoliid wasp Scolia oculata. Online mass fingerprinting showed that crude venom contains 25 small molecules (amino acids, biogenic amines, and nucleosides/nucleotides) and 45 peptides with MW 400-2700. The small molecules were [...] Read more.
A comprehensive LC-MS study examined the venom components of the solitary scoliid wasp Scolia oculata. Online mass fingerprinting showed that crude venom contains 25 small molecules (amino acids, biogenic amines, and nucleosides/nucleotides) and 45 peptides with MW 400-2700. The small molecules were identified by elemental composition analysis, and peptide sequences were determined by ESI-MS/MS and MALDI-TOF/TOF MS analyses. As major peptide components, a known peptide, β-scoliidine (DYVTVKGFSPLRKA), and three new peptides, γ-scoliidine (YVTVKGFSPLR), δ-scoliidine (YVTVKGFSPLREP) and ε-scoliidine (DYVTVKGFSPLREP) were identified, all of which are closely homologous to each other. Once the neuroprotective effects of β-scoliidine have already been described, the other three new scoliidine peptides were analyzed against oxidative stress-induced toxicity in PC12 neuronal cells by mitochondrial metabolism assay, and the structure-activity relationship was evaluated. Interestingly, pre-treatment with ε-scoliidine increased the mitochondrial metabolism of PC12 cells (106 ± 3.6%; p = 0.007) exposed to H2O2-induced oxidative stress in contrast to γ- and δ-scoliidines (77.6 ± 4.8 and 68.5 ± 4.1%, respectively) in compared to cells treated only H2O2 (75.8 ± 2.4%). These new peptides were also analyzed for enzyme inhibitor/substrate assays with angiotensin-converting enzyme (ACE), neprilysin (NEP), and acetylcholinesterase (AChE). In these assays, only δ- and ε-scoliidines increased the AChE activity (128.7 ± 3.8%; p = 0.01; and 116.8 ± 3.8% p = 0.03; respectively) in relation to basal activity (100.1 ± 1.6%). In addition, the four peptides were analyzed through in silico analysis, and none of them demonstrated possible hemolytic and toxic activities. In our study, the comprehensive LC-MS and MS/MS analyses of Scolia oculate venom identified four major peptide components of the venom β-, γ-, δ- and ε-scoliidines, and small differences in their primary structures are important to their neuroprotective properties. Full article
(This article belongs to the Section Animal Venoms)
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Figure 1
<p>TIC profile was obtained from LC-ESI-MS for the crude venom extract of <span class="html-italic">Scolia oculata</span> by reverse-phase HPLC using CAPCELL PAK C<sub>18</sub> (1.5 × 150 mm) with a linear gradient of 5–65% CH<sub>3</sub>CN/H<sub>2</sub>O/0.1% formic acid over 20 min at flow rate of 200 μL/min.</p>
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<p>Cytotoxic effects of γ-, δ- and ε-scoliidines on PC12 viability. The cells were exposed to peptides at different concentrations and times. The control and DMSO groups correspond to cells that have not been treated and cells that have been treated with a 5% concentration of DMSO, respectively. Data were collected from three separate experiments in triplicate and demonstrated as the mean ± SEM. Statistical analysis was conducted using a one-way analysis of variance (ANOVA), followed by Dunnett’s post-test. The statistical difference when compared to the control group (<span class="html-italic">p</span> &lt; 0.05) was indicated by asterisks.</p>
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<p>Neuroprotective property of γ-, δ- and ε-scoliidines on mitochondrial metabolism of the PC12 cell line against H<sub>2</sub>O<sub>2</sub>-induced oxidative stress. (<b>A</b>) The experiment involved treating cells (5 × 10<sup>3</sup> cells per well in a 96-well plate) with γ, δ, and ε scoliidines (1 μmol·L<sup>−1</sup>) for 4 h at 37 °C. After that, the medium was changed with a solution containing peptide (1 μmol·L<sup>−1</sup>) and H<sub>2</sub>O<sub>2</sub> (0.5 mmol·L<sup>−1</sup>), and the cells were incubated for an additional 20 h. (<b>B</b>) Protective effects of peptides against neurotoxicity caused by oxidative stress. The data from three separate experiments, each conducted six times, were presented in box-and-whisker plots as percentages relative to the control. A one-way ANOVA was followed by Dunnett’s post-test for statistical analyses. * <span class="html-italic">p</span> &lt; 0.05 for differences between the control [C] and experimental groups, and # in relation to the H<sub>2</sub>O<sub>2</sub> group. C (+) represents cells treated with acrylamide at 100 mmol·L<sup>−1</sup>.</p>
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<p>Effects of γ-, δ- and ε-scoliidines on the function of acetylcholinesterase (AChE). The AChE activity was quantified as a percentage of hydrolyzed acetylthiocholine iodine substrate compared to the control (C; blank box). The data obtained from three separate experiments, each performed three times, is presented as mean ± SD. This data was then analyzed using a statistical method, one-way ANOVA, followed by Dunnett’s post-test. * <span class="html-italic">p</span> &lt; 0.05 for differences in relation to the control group; TEPP, which corresponds to tetraethyl pyrophosphate, is shown by the red box.</p>
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20 pages, 5922 KiB  
Article
Differences in Susceptibility to SARS-CoV-2 Infection Among Transgenic hACE2-Hamster Founder Lines
by Scott A. Gibson, Yanan Liu, Rong Li, Brett L. Hurst, Zhiqiang Fan, Venkatraman Siddharthan, Deanna P. Larson, Ashley Y. Sheesley, Rebekah Stewart, Madelyn Kunzler, Irina A. Polejaeva, Arnaud J Van Wettere, Stefan Moisyadi, John D. Morrey, E. Bart Tarbet and Zhongde Wang
Viruses 2024, 16(10), 1625; https://doi.org/10.3390/v16101625 - 17 Oct 2024
Viewed by 317
Abstract
Animal models that are susceptible to SARS-CoV-2 infection and develop clinical signs like human COVID-19 are desired to understand viral pathogenesis and develop effective medical countermeasures. The golden Syrian hamster is important for the study of SARS-CoV-2 since hamsters are naturally susceptible to [...] Read more.
Animal models that are susceptible to SARS-CoV-2 infection and develop clinical signs like human COVID-19 are desired to understand viral pathogenesis and develop effective medical countermeasures. The golden Syrian hamster is important for the study of SARS-CoV-2 since hamsters are naturally susceptible to SARS-CoV-2. However, infected hamsters show only limited clinical disease and resolve infection quickly. In this study, we describe development of human angiotensin-converting enzyme 2 (hACE2) transgenic hamsters as a model for COVID-19. During development of the model for SARS-CoV-2, we observed that different hACE2 transgenic hamster founder lines varied in their susceptibility to SARS-CoV-2 lethal infection. The highly susceptible hACE2 founder lines F0F35 and F0M41 rapidly progress to severe infection and death within 6 days post-infection (p.i.). Clinical signs included lethargy, weight loss, dyspnea, and mortality. Lethality was observed in a viral dose-dependent manner with a lethal dose as low as 1 × 100.15 CCID50. In addition, virus shedding from highly susceptible lines was detected in oropharyngeal swabs on days 2–5 p.i., and virus titers were observed at 105.5−6.5 CCID50 in lung and brain tissue by day 4 p.i.. Histopathology revealed that infected hACE2-hamsters developed rhinitis, tracheitis, bronchointerstitial pneumonia, and encephalitis. Mortality in highly susceptible hACE2-hamsters can be attributed to neurologic disease with contributions from the accompanying respiratory disease. In contrast, virus challenge of animals from less susceptible founder lines, F0M44 and F0M51, resulted in only 0–20% mortality. To demonstrate utility of this SARS-CoV-2 infection model, we determined the protective effect of the TLR3 agonist polyinosinic-polycytidylic acid (Poly (I:C)). Prophylactic treatment with Poly (I:C) significantly improved survival in highly susceptible hACE2-hamsters. In summary, our studies demonstrate that hACE2 transgenic hamsters differ in their susceptibility to SARS-CoV-2 infection, based on the transgenic hamster founder line, and that prophylactic treatment with Poly (I:C) was protective in this COVID-19 model of highly susceptible hACE2-hamsters. Full article
(This article belongs to the Special Issue Animal Models for Virology Research)
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<p>Diagram of epithelium-specific expression cassette for the hACE2 gene, pK18-hACE2.</p>
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<p>Survival curves for F1 and F2 generations of hACE2-hamster founder lines infected with SARS-CoV-2. In five of the founder lines, F0M16, F0M29, F0M35, F0M39, and F0M41, the susceptibility to a lethal SARS-CoV-2 infectious dose of 10<sup>4.3</sup> CCID<sub>50</sub> appears similar between the F1 and F2 generations. In two founder lines, F0M44 and F0M51, the susceptibility to the virus decreases between the F1 and F2 generations. The varying susceptibilities could be a result of founders exhibiting a mosaic expression of the hACE2 transgene in different founder lines.</p>
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<p>Survival curves for hACE2-hamster founder lines differing in susceptibility to SARS-CoV-2. Groups of 8-week-old hACE2-hamsters (<span class="html-italic">n</span> = 10/virus dose) infected with SARS-CoV-2. (<b>A</b>) Viral challenge in F0F35 <sup>highly susc</sup> line resulted in 90–100% mortality (<b>B</b>) and 100% mortality in F0M41<sup>highly susc</sup> line. (<b>C</b>) Challenge in the F0M44<sup>less susc</sup> line resulted in 0–10% mortality. (<b>D</b>) Infection in the F0M51<sup>less susc</sup> line resulted in 0–20% mortality when challenged with a series of low infectious doses and 60% mortality with a high dose.</p>
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<p>Percent weight loss in hACE2-hamster founder lines differing in susceptibility to SARS-CoV-2. Groups of 8-week-old hACE2-hamsters (<span class="html-italic">n</span> = 10/virus dose) infected with SARS-CoV-2. (<b>A</b>,<b>B</b>) Hamsters from the F035<sup>highly susc</sup> and F041<sup>highly susc</sup> lines lost significant weight prior to mortality when challenged with a low dose (10<sup>0.3</sup> CCID<sub>50</sub>). (<b>C</b>,<b>D</b>) In the F0M44 <sup>highly susc</sup> and F0M51 <sup>highly susc</sup> lines, hamsters experienced significant weight loss only when challenged with the high dose (10<sup>4.3</sup> CCID<sub>50</sub>).</p>
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<p>Clinical scores in hACE2-hamster founder lines differing in susceptibility to SARS-CoV-2. Groups of 8-week-old hACE2-hamsters (n = 10) infected with SARS-CoV-2. Hamsters in the F0M35<sup>highly susc</sup> and F0M41<sup>highly susc</sup> groups were infected with an infectious dose of 10<sup>0.3</sup> CCID<sub>50</sub>, whereas the animals in the F0M44<sup>less susc</sup> and F0M51<sup>less susc</sup> were infected with an infectious dose of 10<sup>4.3</sup> CCID<sub>50</sub>. The clinical scores for all 4 founder lines began to increase at day 2 p.i. and continued to rise until either mortality in F0M35<sup>highly susc</sup> and F0M41<sup>highly susc</sup> or mean peak scores of 4.1 and 3.6 at day 8 p.i. in the F0M44<sup>less susc</sup> and F0M51<sup>less susc</sup> lines, respectively. Following day 8, the F0M44<sup>less susc</sup> and F0M51<sup>less susc</sup> hamsters began to recover from infection at which point clinical scores decreased.</p>
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<p>Virus tissue titers in hACE2-hamster founder lines differing in susceptibility to SARS-CoV-2. Groups of 8-week-old hACE2-hamsters infected with SARS-CoV-2 were sacrificed on days 2, 4, and 6 post-infection (<span class="html-italic">n</span> = 4/day). Titers for F0F35<sup>highly susc</sup> and F0M41<sup>highly susc</sup>, shown in black, are after a 10<sup>0.3</sup> CCID<sub>50</sub> virus challenge dose. Titers for F0F35<sup>highly susc</sup> and F0M41<sup>highly susc</sup> animals, shown in black, are after a 10<sup>0.3</sup> CCID<sub>50</sub> virus challenge dose. Titers for F0M44<sup>less susc</sup> and F0M51<sup>less susc</sup> animals, shown in blue, are after a 10<sup>4.3</sup> CCID<sub>50</sub> challenge dose. (<b>A</b>) SARS-CoV-2 is first detectable at day 2 p.i. and increases to a peak in lung tissue at day 4 p.i., after which it decreases by day 6 p.i.. (<b>B</b>) Virus titer reaches a peak in brain tissue at day 4 p.i. and, like lung tissue, begins to decrease by day 6 p.i.. (<b>C</b>) Infectious virus is detectable in the cardiac tissue at day 4 p.i. for all 4 founder lines and at day 6 p.i. in 1 of F0M41<sup>highly susc</sup> animal. (<b>D</b>) Virus was only detected in renal tissue on day 4 p.i. in 3 of the 4 founder lines (F0F35, F0M41, and F0F44). The only significant difference observed between founder lines post-infection was in lungs on day 4 p.i. (** <span class="html-italic">p</span> &lt; 0.01). In addition, hACE2 mRNA expression is high in in all tissues in which virus replication was observed (See <a href="#app1-viruses-16-01625" class="html-app">Figure S1</a>).</p>
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<p>Summary of histological lesions in ACE2-hamster founder lines differing in susceptibility to SARS-CoV-2. Groups of 8-week-old hACE2-hamsters (<span class="html-italic">n</span> = 3/day) infected with 10<sup>0</sup><sup>.3</sup> CCID<sub>50</sub> SARS-CoV-2. Hamsters from the F0M44<sup>less susc</sup> line had the most respiratory lesions at day 2 p.i. and developed a moderate to severe infection of both upper and lower respiratory tracts. In addition, animals from the F0M35<sup>highly susc</sup>, F0M41<sup>highly susc</sup>, and F0M44<sup>less susc</sup> lines developed moderate meningoencephalitis. However, over the course of infection, the F0M51<sup>less susc</sup> line developed the lowest lesion scores.</p>
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<p>Pulmonary pathology of SARS-CoV-2-infected F035<sup>Highly Susc</sup> hACE2-hamsters. (<b>A</b>–<b>C</b>) SARS-CoV-2 (10<sup>0.3</sup> CCID<sub>50</sub>)-infected hamster at day 6 p.i.. (<b>D</b>–<b>F</b>) SARS-CoV-2-infected hamster at day 8 p.i.. (<b>G</b>–<b>I</b>) Sham-infected hamster. (<b>A</b>) Inflammatory reaction and necrosis centered on bronchi and bronchiole extending into adjacent alveoli. (<b>B</b>) Bronchiolar epithelial cell necrosis with neutrophilic and lymphocytic inflammation. Alveolar septae are thickened by inflammatory cells. (<b>C</b>) Edema fluid, fibrin, neutrophils, and macrophages fill alveoli and expend alveolar septa. (<b>D</b>) Early resolution of bronchointerstitial pneumonia. Alveolar septae are prominent around bronchioles. (<b>E</b>,<b>F</b>) Alveolar septa are prominent due to marked pneumocytes type Il hyperplasia. Alveolar spaces are filled with edema fluid, fibrin, neutrophils, and macrophages. (<b>G</b>–<b>I</b>) Lung of a sham-infected hamster. (<b>H</b>,<b>E</b>) staining. (<b>A</b>,<b>D</b>,<b>E</b>): 40×. Bar = 500 μm. (<b>B</b>,<b>E</b>,<b>H</b>): 200×. Bar = 100 μm. (<b>C</b>,<b>F</b>,<b>I</b>): 400×.</p>
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<p>Neuropathology of SARS-CoV-2-infected F035<sup>Highly Susc</sup> hACE2-hamsters. (<b>A</b>,<b>C</b>) Sham-infected hamster at day 6 p.i.. (<b>B</b>,<b>D</b>) SARS-CoV-2 (10<sup>0.3</sup> CCID<sub>50</sub>)-infected hamster. Figure (<b>B</b>): Mild lymphocytic perivascular cuffing in the thalamus. Figure (<b>D</b>): Gliosis and lymphocytic perivascular cuffing in the thalamus. H&amp;E staining. (<b>A</b>,<b>C</b>): 100×. Bar = 200 μm. (<b>C</b>,<b>D</b>): 400×.</p>
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<p>Effect of prophylactic treatment with Poly (I:C) on SARS-CoV-2 morbidity and mortality in F041<sup>Highly Susc</sup> hACE2-hamsters. Groups of 8-week-old hACE2-hamsters (<span class="html-italic">n</span> = 10) infected with 10<sup>0.3</sup> CCID<sub>50</sub> SARS-CoV-2. (<b>A</b>) Poly (I:C) treatment significantly increased the MDD for treated hamsters. (<b>B</b>) Treatment with Poly(I:C) prevented weight loss over the course of the infection. (<b>C</b>) Clinical scores of treated hamsters decreased compared to placebo controls. Daily clinical signs and scores following infection consisted of rough coat (1), nasal or ocular discharge (1), hunched posture (1), abnormal gait (2), lethargy (2), and mild to moderate dyspnea (1 to 3), with each animal scored daily. (*** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Prophylactic treatment with Poly(I:C) prevents viral shedding and reduces lung virus titers in F041<sup>Highly Susc</sup> hACE2-hamsters. Groups of 8-week-old hACE2-hamsters (<span class="html-italic">n</span> = 5/day) infected with 10<sup>0.3</sup> CCID<sub>50</sub> SARS-CoV-2. (<b>A</b>) Infectious virus was not observed in oropharyngeal swabs from treated animals, in contrast to placebo-treated hamsters. (<b>B</b>) Virus titer was significantly reduced in the lung tissue from treated hamsters on days 2 and 6 p.i.. (<b>C</b>) Poly (I:C) treatment reduced virus titers in the brain, but the reduction was not significant. (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.1, **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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19 pages, 5406 KiB  
Article
An Automatic Movement Monitoring Method for Group-Housed Pigs
by Ziyuan Liang, Aijun Xu, Junhua Ye, Suyin Zhou, Xiaoxing Weng and Sian Bao
Animals 2024, 14(20), 2985; https://doi.org/10.3390/ani14202985 - 16 Oct 2024
Viewed by 293
Abstract
Continuous movement monitoring helps quickly identify pig abnormalities, enabling immediate action to enhance pig welfare. However, continuous and precise monitoring of daily pig movement on farms remains challenging. We present an approach to automatically and precisely monitor the movement of group-housed pigs. The [...] Read more.
Continuous movement monitoring helps quickly identify pig abnormalities, enabling immediate action to enhance pig welfare. However, continuous and precise monitoring of daily pig movement on farms remains challenging. We present an approach to automatically and precisely monitor the movement of group-housed pigs. The instance segmentation model YOLOv8m-seg was applied to detect the presence of pigs. We then applied a spatial moment algorithm to quantitatively summarize each detected pig’s contour as a corresponding center point. The agglomerative clustering (AC) algorithm was subsequently used to gather the pig center points of a single frame into one point representing the group-housed pigs’ position, and the movement volume was obtained by calculating the displacements of the clustered group-housed pigs’ center points of consecutive frames. We employed the method to monitor the movement of group-housed pigs from April to July 2023; more than 1500 h of top-down pig videos were recorded by a surveillance camera. The F1 scores of the trained YOLOv8m-seg model during training were greater than 90% across most confidence levels, and the model achieved an mAP50-95 of 0.96. The AC algorithm performs with an average extraction time of less than 1 millisecond; this method can run efficiently on commodity hardware. Full article
(This article belongs to the Section Pigs)
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<p>Experimental conditions: (<b>a</b>) draft of the pigpen; (<b>b</b>) installation position of the dual sensor surveillance camera; (<b>c</b>) top-down camera view of the pigsty floor.</p>
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<p>Designed workflow of the pig movement monitoring method.</p>
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<p>Model structure of YOLOv8-seg: the segmentation and detection tasks begin with the (<b>a</b>) original image and output an (<b>b</b>) image with a bounding box and segmentation contour.</p>
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<p>Distinguishing the center point of a predicted pig contour. The images in the columns are described as follows: (1) prediction image, (2) mean coordinate, (3) least squares, (4) signed area, and (5) spatial moment. The different pig behavior patterns depicted in each row are as follows: (<b>a</b>) lying, (<b>b</b>) sitting, and (<b>c</b>) standing.</p>
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<p>Running times of different algorithms based on the test video (1166 frames): (<b>a</b>) Time spent on each frame. (<b>b</b>) Total time spent in progress (average of 30 repetitions).</p>
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<p>Complete distribution information of group pig positions. The information was obtained from 13 May to 8 July 2023, and every pig position was drawn at a given point.</p>
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<p>Changes in the position information over time: (<b>a</b>) Pigs positioned during two periods from 13 May to 9 June 2023 and 10 June to 8 July 2023. (<b>b</b>) The statistical variation in the number of pigs appearing in different regions during the two periods.</p>
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<p>Daily summed movement distances of group-housed pigs from 13 May 2023 to 8 July 2023.</p>
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<p>Movement characteristics of pigs in terms of days with the longest, shortest, and median movement distances; every subfigure starts at 0 a.m. and ends at 12 p.m.</p>
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<p>Various distribution locations of group-housed pigs: (<b>a</b>) pigs lying close to the corner; (<b>b</b>) pigs congregating near the door; (<b>c</b>) herd of pigs eating.</p>
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13 pages, 829 KiB  
Review
Peptide-Based Inhibitors of Protein–Protein Interactions (PPIs): A Case Study on the Interaction Between SARS-CoV-2 Spike Protein and Human Angiotensin-Converting Enzyme 2 (hACE2)
by Aizhan Rakhmetullina, Piotr Zielenkiewicz and Norbert Odolczyk
Biomedicines 2024, 12(10), 2361; https://doi.org/10.3390/biomedicines12102361 - 16 Oct 2024
Viewed by 338
Abstract
Protein–protein interactions (PPIs) are fundamental to many critical biological processes and are crucial in mediating essential cellular functions across diverse organisms, including bacteria, parasites, and viruses. A notable example is the interaction between the SARS-CoV-2 spike (S) protein and the human angiotensin-converting enzyme [...] Read more.
Protein–protein interactions (PPIs) are fundamental to many critical biological processes and are crucial in mediating essential cellular functions across diverse organisms, including bacteria, parasites, and viruses. A notable example is the interaction between the SARS-CoV-2 spike (S) protein and the human angiotensin-converting enzyme 2 (hACE2), which initiates a series of events leading to viral replication. Interrupting this interaction offers a promising strategy for blocking or significantly reducing infection, highlighting its potential as a target for anti-SARS-CoV-2 therapies. This review focuses on the hACE2 and SARS-CoV-2 spike protein interaction, exemplifying the latest advancements in peptide-based strategies for developing PPI inhibitors. We discuss various approaches for creating peptide-based inhibitors that target this critical interaction, aiming to provide potential treatments for COVID-19. Full article
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<p>The complex structure of <span class="html-italic">h</span>ACE2 and SARS-CoV-2 spike proteins (PDB id: 6m0j)— computer-generated, cartoon representation. (<b>a</b>) The interaction interface between <span class="html-italic">h</span>ACE2 (blue) and the spike (orange) is shown as the solvent accessible surface area and highlighted by magenta and cyan colors, respectively; (<b>b</b>,<b>c</b>) depicted amino acid residues forming the interface for a particular protein are shown as sticks in this representation; (<b>d</b>) schematic diagram of interactions between proteins. Residues are colored according to the type: positive (H, K, R); negative (D, E); S, T, N, Q = neutral; A, V, L, I, M = aliphatic; F, Y, W = aromatic; G = Gly. Type of contacts: hydrogen bonds (blue line); salt bridges (red line); nonbonded contacts (gray dash line). Protein visualization was prepared by the PyMOL Molecular Graphics System, Version 3.0.0 Schrödinger, LLC.</p>
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17 pages, 4600 KiB  
Article
Extraction Method Effects on Structural Properties and Functional Characteristics of Dietary Fiber Extracted from Ginseng Residue
by Xiaoyu Feng, Kashif Ameer, Karna Ramachandraiah and Guihun Jiang
Molecules 2024, 29(20), 4875; https://doi.org/10.3390/molecules29204875 (registering DOI) - 14 Oct 2024
Viewed by 324
Abstract
In this research, the dietary fibers (DFs) from ginseng residue were extracted by employing three different extraction methods (alkaline: AL, acidic: AC, enzymatic: EN). The extracted DFs were characterized in terms of their structural and functional properties. The results clearly showed that, regardless [...] Read more.
In this research, the dietary fibers (DFs) from ginseng residue were extracted by employing three different extraction methods (alkaline: AL, acidic: AC, enzymatic: EN). The extracted DFs were characterized in terms of their structural and functional properties. The results clearly showed that, regardless of the extraction methods, all DF samples exhibited representative infrared spectral features. The DF extracted by AC (citric acid) had more porous structures with a looser configuration, in conjunction with high apparent viscosity, whereas the DF extracted by EN (α-amylase and protease) exhibited higher thermal stability. Moreover, the monosaccharide composition of the DF samples was significantly influenced by the extraction method type. The DF from ginseng residue extracted by AC had the highest functional properties, such as water holding capacity (8.16 g/g), oil holding capacity (3.99 g/g), water swelling capacity (8.13 g/g), cholesterol-absorption capacity (12.85 mg/g), bile acid absorption capacity (91.51 mg/g), nitrite ion absorption capacity (124.38 ug/g at pH 2.0), glucose absorption capacity (52.67 mg/g at 150 mmol/L), as compared to those of DF extracted by the EN and AL (sodium hydroxide) methods. Hence, ginseng residue-derived DF extracted by the AC method may be potentially employed in the preparation of functional food ingredients. Full article
(This article belongs to the Special Issue Effects of Functional Foods and Dietary Bioactives on Human Health)
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<p>SEM images for G-AC (<b>A</b>), G-AL (<b>B</b>), and G-EN (<b>C</b>).</p>
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<p>FT-IR spectra (<b>A</b>), thermal properties (<b>B</b>), and rheogram plot (<b>C</b>) for G-AC, G-AL, and G-EN.</p>
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<p>HPLC chromatogram of monosaccharide standards and monosaccharide compositions for G-AC, G-AL, and G-EN.</p>
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<p>HPLC chromatogram of monosaccharide standards and monosaccharide compositions for G-AC, G-AL, and G-EN.</p>
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10 pages, 3286 KiB  
Article
Comparative Remediation of Arsenic and Antimony Co-Contaminated Soil by Iron- and Manganese-Modified Activated Carbon and Biochar
by Jiayi Han, Chuang Zhao, Min Yang, Mingheng Ye, Yani Li, Keke Zhou, Junrui Zhang and Peipei Song
Toxics 2024, 12(10), 740; https://doi.org/10.3390/toxics12100740 - 12 Oct 2024
Viewed by 622
Abstract
At present, soil contaminated with arsenic (As) and antimony (Sb) is escalating at an alarming rate, which is harmful to human health. In this study, Fe- and Mn-modified activated carbon (AC) and biochar (BC) were prepared and compared for the remediation of As- [...] Read more.
At present, soil contaminated with arsenic (As) and antimony (Sb) is escalating at an alarming rate, which is harmful to human health. In this study, Fe- and Mn-modified activated carbon (AC) and biochar (BC) were prepared and compared for the remediation of As- and Sb-contaminated soil. The effects on the speciation of As and Sb, soil pH, organic matter (SOM), and enzyme activity with various dosages and remediation times were investigated. The results showed that on the whole, the best stabilization effect of As and Sb was achieved with 3% FeMnBC. Furthermore, with increases in time and dosage, the immobilization effect on As and Sb was more significant. Fe/Mn-modified AC and BC enhanced soil pH, with 3% MnAC being particularly effective; 3% AC and 3% FeMnAC demonstrated the most pronounced enhancement in SOM. The modified carbon materials exhibited a dramatic increase in enzymatic activity. In particular, urease activity showed an increasing trend, and catalase activity first decreased and then increased over 30 days. Among the treatments, 3% MnAC showed the most significant enhancements in catalase and urease activities, whereas 1% FeMnBC had the most pronounced effect on increasing sucrase activity. This study provides theoretical support for the remediation of soil co-contaminated with As and Sb by Fe/Mn-modified AC and BC. Full article
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<p>Changes in As speciation with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>) and Sb speciation with different materials after 10 (<b>d</b>), 20 (<b>e</b>), and 30 days (<b>f</b>). (Note: F1: Residue state. F2: Crystalline iron-aluminium oxide bound state. F3: Amorphous iron-aluminum oxide bound state. F4: Specialized adsorption state. F5: Non-specific adsorption state).</p>
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<p>Changes in soil pH with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>).</p>
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<p>Changes in soil organic matter with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>).</p>
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<p>Changes in urease activity with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>).</p>
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<p>Changes in catalase activity with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>).</p>
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<p>Changes in sucrase activity with different materials after 10 (<b>a</b>), 20 (<b>b</b>), and 30 days (<b>c</b>).</p>
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17 pages, 4898 KiB  
Article
Epigenetic Modifications Are Involved in Transgenerational Inheritance of Cadmium Reproductive Toxicity in Mouse Oocytes
by Jiaqiao Zhu, Shuai Guo, Jiangqin Cao, Hangbin Zhao, Yonggang Ma, Hui Zou, Huiming Ju, Zongping Liu and Junwei Li
Int. J. Mol. Sci. 2024, 25(20), 10996; https://doi.org/10.3390/ijms252010996 - 12 Oct 2024
Viewed by 377
Abstract
Maternal cadmium exposure during pregnancy has been demonstrated to have detrimental effects on offspring development. However, the impact of maternal cadmium exposure on offspring oocytes remains largely unknown, and the underlying mechanisms are not fully understood. In this study, we found that maternal [...] Read more.
Maternal cadmium exposure during pregnancy has been demonstrated to have detrimental effects on offspring development. However, the impact of maternal cadmium exposure on offspring oocytes remains largely unknown, and the underlying mechanisms are not fully understood. In this study, we found that maternal cadmium exposure during pregnancy resulted in selective alteration in epigenetic modifications of mouse oocytes in offspring, including a decrease in H3K4me2 and H4K12ac, as well as an increase in DNA methylation of H19. Although ROS levels and mitochondrial activity remain at normal levels, the DNA damage marker γH2AX was significantly increased and the DNA repair marker DNA-PKcs was remarkably decreased in offspring oocytes from maternal cadmium exposure. These alterations are responsible for the decrease in the quality of mouse oocytes in offspring induced by maternal cadmium exposure. As a result, the meiotic maturation of oocytes and subsequent early embryonic development are influenced by maternal cadmium exposure. RNA-seq results showed that maternal cadmium exposure elicits modifications in the expression of genes associated with metabolism, signal transduction, and endocrine regulation in offspring ovaries, which also contribute to the disorders of oocyte maturation and failures in early embryonic development. Our research provides direct evidence of transgenerational epigenetic inheritance of cadmium reproductive toxicity in mouse germ cells. Full article
(This article belongs to the Section Molecular Toxicology)
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<p>Cadmium exposure during pregnancy reduced the body weight and the ovary coefficient of F1 female mice. (<b>A</b>) The body weight of F1 female mice at 8 weeks old in each group. The total number of mice examined is given in parentheses at the top of each column. The organ coefficients of ovary (<b>B</b>), liver (<b>C</b>), and kidney (<b>D</b>) of F1 female mice. Data are presented as means ± the standard error of the mean (SEM). ** <span class="html-italic">p</span> values of &lt;0.01.</p>
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<p>Cadmium exposure during pregnancy reduced the number of ovulated oocytes and impaired the oocyte maturation in vivo and in vitro. (<b>A</b>) The number of ovulated oocytes from F1 female mice after superovulation. (<b>B</b>) In vivo maturation rate of ovulated oocytes. (<b>C</b>) In vitro maturation rate of GV-oocytes. The total number of females (<b>A</b>) or oocytes (<b>B</b>,<b>C</b>) examined in each group is given in parentheses at the top of each column. *, ** <span class="html-italic">p</span> values of &lt;0.05 and 0.01, respectively.</p>
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<p>Cadmium exposure during pregnancy impairs the embryonic development of in vitro fertilized eggs (IVF) in F1 female mice. Each column indicates the percentages of embryos at different stages at 1–5 days in culture. The data were pooled from 4 experiments. The total number of embryos examined is given in parentheses at the top of each graph.</p>
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<p>Cadmium exposure during pregnancy did not affect meiotic spindle morphology in F1 mouse oocytes. (<b>A</b>) Representative images of F1 mouse oocytes stained with anti-α-tubulin-FITC (green) and DAPI (blue). Scale bar, 20 μm. (<b>B</b>) The rate of abnormal spindle morphology. The total number of oocytes examined is given in parentheses at the top of each column.</p>
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<p>Cadmium exposure during pregnancy decreased H3K4me2 and H4K12ac in F1 mouse oocytes. Representative images of H3K4me2 (<b>A</b>), H3K9me2 (<b>C</b>), H4K12ac (<b>E</b>), and H3K27ac (<b>G</b>) in F1 mouse oocytes. Scale bar, 20 μm. The fluorescence intensity of H3K4me2 (<b>B</b>), H3K9me2 (<b>D</b>), H4K12ac (<b>F</b>), and H3K27ac (<b>H</b>). The total number of oocytes examined is given in parentheses at the top of each column. ** <span class="html-italic">p</span> values of &lt;0.01.</p>
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<p>Cadmium exposure during pregnancy altered the DNA methylation of <span class="html-italic">H19</span> without affecting the global methylation level in F1 mouse oocytes. (<b>A</b>) Representative images of 5-mC (green), 5-hmC (red), and DAPI (blue) in F1 mouse oocytes. Scale bar, 20 μm. (<b>B</b>) The fluorescence intensity of 5-mC. The total number of oocytes examined is given in parentheses at the top of each column. (<b>C</b>) Methylation profiles of the imprinted <span class="html-italic">H19</span> gene were assayed using bisulfite sequencing. Each line represents an individual clone allele. Each circle within the row represents a single CpG site. Black circles and white circles represent methylated and unmethylated CpGs, respectively. The percentage number indicates the DNA methylation level of <span class="html-italic">H19</span> in each group. (<b>D</b>) Methylation patterns of <span class="html-italic">H19</span> detected by COBRA. Restriction enzymes are cleaved only if the recognized TaqI site is methylated. The same bisulfite-treated DNA sample used for sequencing was digested.</p>
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<p>Cadmium exposure during pregnancy caused DNA damage and decreased DNA repair in F1 mouse oocytes. Representative images of γH2AX (<b>A</b>) and DNA-PKcs (<b>C</b>) in F1 mouse oocytes. Scale bar, 20 μm. The fluorescence intensity of γH2AX (<b>B</b>) and DNA-PKcs (<b>D</b>). The total number of oocytes examined is given in parentheses at the top of each column (<b>B</b>,<b>D</b>). ** <span class="html-italic">p</span> values of &lt;0.01.</p>
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<p>Cadmium exposure during pregnancy did not affect the ROS level and mitochondrial activity in F1 mouse oocytes. Representative images of ROS (<b>A</b>) and mitochondria (<b>C</b>) in F1 mouse oocytes. Scale bar, 50 μm. The fluorescence intensity of ROS (<b>B</b>) and mitochondria (<b>D</b>). The total number of oocytes examined is given in parentheses at the top of each column (<b>B</b>,<b>D</b>).</p>
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<p>Cadmium exposure during pregnancy affected the transcriptome in the F1 mouse ovary. (<b>A</b>) The number of differentially expressed genes (DEGs). (<b>B</b>) Heatmap of DEGs in control and cadmium-exposure ovaries. (<b>C</b>) GO pathway enrichment analysis for the DEGs. (<b>D</b>) KEGG enrichment analysis for the DEGs.</p>
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15 pages, 2753 KiB  
Article
Assessing Soil Physical Quality in a Layered Agricultural Soil: A Comprehensive Approach Using Infiltration Experiments and Time-Lapse Ground-Penetrating Radar Surveys
by Simone Di Prima, Gersende Fernandes, Maria Burguet, Ludmila Ribeiro Roder, Vittoria Giannini, Filippo Giadrossich, Laurent Lassabatere and Alessandro Comegna
Appl. Sci. 2024, 14(20), 9268; https://doi.org/10.3390/app14209268 - 11 Oct 2024
Viewed by 519
Abstract
Time-lapse ground-penetrating radar (GPR) surveys, combined with automated infiltration experiments, provide a non-invasive approach for investigating the distribution of infiltrated water within the soil medium and creating three-dimensional images of the wetting bulb. This study developed and validated an experimental protocol aimed at [...] Read more.
Time-lapse ground-penetrating radar (GPR) surveys, combined with automated infiltration experiments, provide a non-invasive approach for investigating the distribution of infiltrated water within the soil medium and creating three-dimensional images of the wetting bulb. This study developed and validated an experimental protocol aimed at quantifying and visualizing water distribution fluxes in layered soils under both unsaturated and saturated conditions. The 3D images of the wetting bulb significantly enhanced the interpretation of infiltration data, enabling a detailed analysis of water movement through the layered system. We used the infiltrometer data and the Beerkan Estimation of Soil Transfer parameters (BEST) method to determine soil capacitive indicators and evaluate the physical quality of the upper soil layer. The field survey involved conducting time-lapse GPR surveys alongside infiltration experiments between GPR repetitions. These experiments included both tension and ponding tests, designed to sequentially activate the soil matrix and the full pore network. The results showed that the soil under study exhibited significant soil aeration and macroporosity (represented by AC and pMAC), while indicators related to microporosity (such as PAWC and RFC) were notably low. The RFC value of 0.55 m3 m−3 indicated the soil’s limited capacity to retain water relative to its total pore volume. The PAWC value of 0.10 m3 m−3 indicated a scarcity of micropores ranging from 0.2 to 30 μm in diameter, which typically hold water accessible to plant roots within the total porosity. The saturated soil hydraulic conductivity, Ks, values ranged from 192.2 to 1031.0 mm h−1, with a mean of 424.4 mm h−1, which was 7.9 times higher than the corresponding unsaturated hydraulic conductivity measured at a pressure head of h = −30 mm (K−30). The results indicated that the upper soil layer supports root proliferation and effectively drains excess water to the underlying limestone layer. However, this layer has limited capacity to store and supply water to plant roots and acts as a restrictive barrier, promoting non-uniform downward water movement, as revealed by the 3D GPR images. The observed difference in hydraulic conductivity between the two layers suggests that surface ponding and overland flow are generated through a saturation excess mechanism. Water percolating through the soil can accumulate above the limestone layer, creating a shallow perched water table. During extreme rainfall events, this water table may rise, leading to the complete saturation of the soil profile. Full article
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<p>Flowchart outlining the process to generate a 3D image of the wetting bulb. The arrow indicates the funneling flow path through the limestone layer.</p>
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<p>Three-dimensional representations of the wetting zones obtained from ground-penetrating radar surveys conducted before and after wetting, during (<b>a</b>) tension and (<b>e</b>) ponding infiltrometer experiments at the Ottava site. Panels (<b>b</b>,<b>f</b>) illustrate horizontal cross-sections taken from the 3D models at a depth of −0.1m from the soil surface. Panels (<b>c</b>,<b>g</b>) present vertical cross-sections oriented north–south with a view to the east, while panels (<b>d</b>,<b>h</b>) show vertical cross-sections oriented west–east within a view to the north. The red arrows highlight the detected flow channeling through the limestone layer (see <a href="#applsci-14-09268-f001" class="html-fig">Figure 1</a> for reference).</p>
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<p>Example of the procedure adopted for detecting flow impedance owing to the hydraulic resistance exerted by the underlying limestone layer. (<b>a</b>): Entire cumulative infiltration curve [<span class="html-italic">I</span>(<span class="html-italic">t</span>) vs. <span class="html-italic">t</span>]. (<b>b</b>): Data linearized according to the cumulative linearization (CL, Smiles and Knight, 1976) method (<span class="html-italic">I</span>√<span class="html-italic">t</span> vs. √<span class="html-italic">t</span>). The abscissa (√<span class="html-italic">t</span>) of the intersection point of the two straight lines splits the infiltration data into two subsets. (<b>c</b>): Cumulative infiltration data representative of the first stage when water infiltrates into the upper layer.</p>
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<p>θ<span class="html-italic"><sub>PWP</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the permanent wilting point soil water content, corresponding to <span class="html-italic">h</span> = −150 m. θ<span class="html-italic"><sub>FC</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the field capacity (gravity drained) soil water content, corresponding to <span class="html-italic">h</span> = −1 m. θ<span class="html-italic"><sub>m</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the saturated volumetric water content of the soil matrix, corresponding to <span class="html-italic">h</span> = −0.1 m. θ<span class="html-italic"><sub>TI</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the final volumetric water content at the end of the TI test (corresponding to <span class="html-italic">h</span> = −0.03 m), θ<span class="html-italic"><sub>s</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the saturated volumetric water content. <span class="html-italic">AC</span> [m<sup>3</sup> m<sup>−3</sup>] is the air capacity. <span class="html-italic">PAWC</span> [m<sup>3</sup> m<sup>−3</sup>] is the plant-available water capacity. <span class="html-italic">RFC</span> [−] is the relative field capacity. <span class="html-italic">p<sub>MAC</sub></span> [m<sup>3</sup> m<sup>−3</sup>] is the soil macroporosity. <sup>†</sup> Water content values determined from wet soil samples collected after the tension (θ<span class="html-italic"><sub>TI</sub></span>) and Beerkan (θ<span class="html-italic"><sub>s</sub></span>) infiltration tests.</p>
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25 pages, 17813 KiB  
Article
Transcriptomic Analysis of the Response of the Dioryctria abietella Larva Midgut to Bacillus thuringiensis 2913 Infection
by Ruting Chen, Yutong Zhuang, Meiling Wang, Jia Yu and Defu Chi
Int. J. Mol. Sci. 2024, 25(20), 10921; https://doi.org/10.3390/ijms252010921 - 10 Oct 2024
Viewed by 484
Abstract
Dioryctria abietella Denis Schiffermuller (Lepidoptera: Pyralidae) is an oligophagous pest that mainly damages Pinaceae plants. Here, we investigated the effects of the Bacillus thuringiensis 2913 strain (Bt 2913), which carries the Cry1Ac, Cry2Ab, and Vip3Aa genes, on the D. [...] Read more.
Dioryctria abietella Denis Schiffermuller (Lepidoptera: Pyralidae) is an oligophagous pest that mainly damages Pinaceae plants. Here, we investigated the effects of the Bacillus thuringiensis 2913 strain (Bt 2913), which carries the Cry1Ac, Cry2Ab, and Vip3Aa genes, on the D. abietella midgut transcriptome at 6, 12, and 24 h after infection. In total, 7497 differentially expressed genes (DEGs) were identified from the midgut transcriptome of D. abietella larvae infected with Bt 2913. Among these DEGs, we identified genes possibly involved in Bt 2913-induced perforation of the larval midgut. For example, the DEGs included 67 genes encoding midgut proteases involved in Cry/Vip toxin activation, 74 genes encoding potential receptor proteins that bind to insecticidal proteins, and 19 genes encoding receptor NADH dehydrogenases that may bind to Cry1Ac. Among the three transcriptomes, 88 genes related to metabolic detoxification and 98 genes related to immune defense against Bt 2913 infection were identified. Interestingly, 145 genes related to the 60S ribosomal protein were among the DEGs identified in the three transcriptomes. Furthermore, we performed bioinformatic analysis of zonadhesin, GST, CYP450, and CarE in the D. abietella midgut to determine their possible associations with Bt 2913. On the basis of the results of this analysis, we speculated that trypsin and other serine proteases in the D. abietella larval midgut began to activate Cry/Vip prototoxin at 6 h to 12 h after Bt 2913 ingestion. At 12 h after Bt 2913 ingestion, chymotrypsin was potentially involved in degrading the active core fragment of Vip3Aa toxin, and the detoxification enzymes in the larvae contributed to the metabolic detoxification of the Bt toxin. The ABC transporter and several other receptor-protein-related genes were also downregulated to increase resistance to Bt 2913. However, the upregulation of 60S ribosomal protein and heat shock protein expression weakened the resistance of larvae to Bt 2913, thereby enhancing the expression of NADH dehydrogenase and other receptor proteins that are highly expressed in the larval midgut and bind to activating toxins, including Cry1Ac. At 24 h after Bt 2913 ingestion, many activated toxins were bound to receptor proteins such as APN in the larval midgut, resulting in membrane perforation. Here, we clarified the mechanism of Bt 2913 infection in D. abietella larvae, as well as the larval immune defense response to Bt 2913, which provides a theoretical basis for the subsequent control of D. abietella using B. thuringiensis. Full article
(This article belongs to the Special Issue Progress of Molecular Biology and Physiology in Lepidopteran Insects)
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<p>Insecticidal mechanism of <span class="html-italic">Bacillus thuringiensis</span> (produced by Figdraw <a href="https://www.figdraw.com/" target="_blank">https://www.figdraw.com/</a>, 8 October 2024).</p>
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<p>PCR amplification results of the <span class="html-italic">Cry</span>/<span class="html-italic">Vip</span> genes and PCR-RFLP identification fingerprints. (<b>a</b>) From left to right, the PCR amplification results of Marker, K5un2/K3un2, S5un2/S3un2, and SPvip3A(+)/SPvip3A(−) are shown; (<b>b</b>) PCR-RFLP patterns of PstI+XbaI double-digestion primer K5un2/K3un2; (<b>c</b>) PCR-RFLP patterns of HincII+MspI double-digestion primer S5un2/S3un2.</p>
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<p>Parasporal crystal metabolism at 30 °C and 200 r/min (observed with a 40× oil lens). (<b>a</b>) Culture for 24 h; (<b>b</b>) culture for 26 h; (<b>c</b>) culture for 30 h; (<b>d</b>) culture for 48 h. The red rod shape in the form shown in ① represents the <span class="html-italic">Bt</span> 2913 strain; the light red oval shape in the form shown in ② represents the spore; and the dark irregular crystals in the form shown in ③ represent parasporal crystals.</p>
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<p>DEGs in the midgut tissues of <span class="html-italic">Bt</span> 2913-treated <span class="html-italic">D. abietella</span> larvae at different time points. (<b>a</b>–<b>c</b>) DEGs in the midgut of the <span class="html-italic">D. abietella</span> larvae fed on <span class="html-italic">Bt</span> 2913 for 6 h, 12 h, and 24 h, respectively; (<b>d</b>) Venn diagram showing the number of <span class="html-italic">D. abietella</span> genes that were differentially expressed (upregulated or downregulated) at only 6 h, only 12 h, or only 24 h or at multiple time points after treatment with <span class="html-italic">Bt</span> 2913.</p>
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<p>(<b>a</b>,<b>b</b>) Heatmaps of 60S ribosomal-protein-related DEGs in the midgut transcriptome at different periods after <span class="html-italic">D. abietella</span> was fed <span class="html-italic">Bt</span> 2913 (log2<sup>(TPM+1)</sup> normalization was applied).</p>
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<p>Heatmaps of DEGs in the midgut transcriptome at different time points after <span class="html-italic">D. abietella</span> was fed <span class="html-italic">Bt</span> 2913 (log2<sup>(TPM+1)</sup> normalization was chosen). (<b>a</b>) Midgut proteases involved in <span class="html-italic">Bt</span> activation toxin; (<b>b</b>) potential <span class="html-italic">Bt</span> toxin receptor proteins; (<b>c</b>) metabolic detoxification genes; (<b>d</b>) genes associated with the immune defense response; (<b>e</b>) NADH-dehydrogenase-related genes.</p>
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<p>Bioinformatic analysis of zonadhesin in <span class="html-italic">D. abietella</span>. (<b>a</b>) Conserved zonadhesin structure domain; (<b>b</b>) sequence analysis of zonadhesin. The protease binding site is indicated in red. Yellow represents the reactive center loop (RCL); (<b>c</b>) protein tertiary structure of zonadhesin. The sphere representation area is a protease binding site. The stick representation area indicates the RCL.</p>
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<p>Bioinformatic analysis of GSTs in <span class="html-italic">D. abietella</span>. (<b>a</b>) Conserved GST structural domain; (<b>b</b>) sequence analysis of GSTs. Red represents the GSH-binding site (G-site). Yellow indicates the dimer interface. The underline indicates the C-terminal domain interface. GST-N-Delta-Epsilon is shown in bold. The dimer interface is shown in blue, the substrate-binding pocket (H site) is shown in gray, and the N-terminal domain interface is shown in yellow. The following part in bold indicates GST-C-Delta-Epsilon; (<b>c</b>) protein tertiary structure of GST. The pink color represents GST-N-Delta-Epsilon. GST-C-Delta-Epsilon is shown in green. The stick representation region is the G-site. The sphere representation area is the H-site.</p>
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<p>Bioinformatic analysis of CYP450 in <span class="html-italic">D. abietella</span>. (<b>a</b>) Conserved structure domain of CYP450; (<b>b</b>) sequence analysis of CYP450. Red represents a heme-binding site, and yellow represents a putative chemical substrate-binding pocket; (<b>c</b>) protein tertiary structure of CYP450. The stick representation region is a heme-binding site. The sphere representation area is a putative chemical substrate-binding pocket.</p>
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<p>Bioinformatic analysis of CarE in <span class="html-italic">D. abietella</span>. (<b>a</b>) CarE conserved structural domain; (<b>b</b>) sequence analysis of CarE. Red indicates the substrate-binding pocket. Yellow indicates the catalytic triad. The transmembrane domain is shown in blue; (<b>c</b>) protein tertiary structure of CarE in. The stick representation region represents the catalytic triad. The sphere representation area represents the substrate-binding pocket.</p>
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<p>Quantitative real-time PCR (qRT-PCR) validation of selected DEGs from the midgut transcriptome of <span class="html-italic">D. abietella</span> larvae at different time points of infection with <span class="html-italic">Bt</span> 2913. Different lowercase letters of the same gene indicated that the difference between different time periods was statistically significant (Duncan test, <span class="html-italic">p</span> &lt; 0.05).</p>
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15 pages, 1059 KiB  
Article
Elevated Cardiac Troponin Levels as a Predictor of Increased Mortality Risk in Non-Cardiac Critically Ill Patients Admitted to a Medical Intensive Care Unit
by Turkay Akbas
J. Clin. Med. 2024, 13(20), 6025; https://doi.org/10.3390/jcm13206025 - 10 Oct 2024
Viewed by 480
Abstract
Background: Cardiac troponin I (TnI) is a specific marker of myocardial damage used in the diagnosis of acute coronary syndrome (ACS). TnI levels can also be elevated in patients without ACS, which is linked to a worse prognosis and mortality. We evaluated [...] Read more.
Background: Cardiac troponin I (TnI) is a specific marker of myocardial damage used in the diagnosis of acute coronary syndrome (ACS). TnI levels can also be elevated in patients without ACS, which is linked to a worse prognosis and mortality. We evaluated the clinical implications and prognostic significance of serum TnI levels in critically ill non-cardiac patients admitted to the intensive care unit (ICU) at a tertiary-level hospital. Materials and Methods: A three-year retrospective study including the years 2017–2020 was conducted to evaluate in-hospital mortality during ICU stay and mortality rates at 28 and 90 days, as well as one and two years after admission, in 557 patients admitted to the medical ICU for non-cardiac causes. Results: TnI levels were elevated in 206 (36.9%) patients. Patients with elevated TnI levels were significantly older and had higher rates of comorbidities, including chronic heart failure, coronary heart disease, and chronic kidney disease (p < 0.05 for all). Patients with elevated TnI levels required more invasive mechanical ventilation, vasopressor infusion, and dialysis in the ICU and experienced more shock within the first 72 h (p = 0.001 for all). High TnI levels were associated with higher Acute Physiological and Chronic Health Evaluation (APACHE) II (27.6 vs. 20.3, p = 0.001) and Sequential Organ Failure assessment (8.8 vs. 5.26, p = 0.001) scores. Elevated TnI levels were associated with higher mortality rates at 28 days (58.3% vs. 19.4%), 90 days (69.9% vs. 35.0%), one year (78.6% vs. 46.2%), and two years (82.5% vs. 55.6%) (p < 0.001 for all). Univariate logistic regression analysis revealed that high TnI levels were a strong independent predictor of mortality at all time points: 28 days (OR = 1.2, 95% CI: 1.108–1.3, p < 0.001), 90 days (OR = 1.207, 95% CI: 1.095–1.33, p = 0.001), one year (OR = 1.164, 95% CI: 1.059–1.28, p = 0.002), and two year (OR = 1.119, 95% CI: 1.026–1.22, p = 0.011). Multivariate analysis revealed that age, albumin level, APACHE II score, and requirements for dialysis and vasopressor use in the ICU were important predictors of mortality across all timeframes, but elevated TnI levels were not. Conclusions: Elevated TnI levels in critically ill non-cardiac patients are markers of disease severity. While elevated TnI levels were significant predictors of mortality in the univariate analysis, they lost significance in the multivariate model when adjusted for other factors. Patients with elevated TnI levels had higher mortality rates across all timeframes, from 28 days to two years. Full article
(This article belongs to the Section Cardiology)
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<p>Patients’ exclusion flowchart.</p>
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<p>(<b>A</b>) ROC curves for the 28 motality; (<b>B</b>) ROC curves for the 90 days mortality; (<b>C</b>) ROC curves for the 1-year motality; (<b>D</b>) ROC curves for the 2-years motality.</p>
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<p>(<b>A</b>) ROC curves for the 28 motality; (<b>B</b>) ROC curves for the 90 days mortality; (<b>C</b>) ROC curves for the 1-year motality; (<b>D</b>) ROC curves for the 2-years motality.</p>
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17 pages, 7887 KiB  
Article
Integrated Precision High-Frequency Signal Conditioner for Variable Impedance Sensors
by Miodrag Brkić, Jelena Radić, Kalman Babković and Mirjana Damnjanović
Sensors 2024, 24(20), 6501; https://doi.org/10.3390/s24206501 - 10 Oct 2024
Viewed by 409
Abstract
In this paper, a signal conditioner intended for use in variable impedance sensors is presented. First, an inductive linear displacement sensor design is described, and the signal conditioner discrete realization is presented. Second, based on this system’s requirements, the integrated conditioner is proposed. [...] Read more.
In this paper, a signal conditioner intended for use in variable impedance sensors is presented. First, an inductive linear displacement sensor design is described, and the signal conditioner discrete realization is presented. Second, based on this system’s requirements, the integrated conditioner is proposed. The conditioner comprises an amplifier, a tunable band-pass filter, and a precision high-frequency AC-DC converter. It is designed in a low-cost AMS 0.35 µm CMOS process. The presented conditioner measures the sensor’s impedance magnitude by using a simplified variation of the sensor voltage and current vector measurement. It can be used for the real-time measurement of fast sensors, having small output impedance. The post-layout simulation results show that the integrated conditioner has an inductance measurement range from 10 nH to 550 nH with a nonlinearity of 1.2%. The operating frequency in this case was 8 MHz, but the circuit can be easily adjusted to different operating frequencies (due to the tunable filter). The designed IC area is 500 × 330 μm2, and the total power consumption is 93.8 mW. Full article
(This article belongs to the Special Issue CMOS Integrated Circuits for Sensor Applications)
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<p>(<b>a</b>) Sensor element for the detection of x-displacement. (<b>b</b>) Measurement setup with the discrete signal conditioner.</p>
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<p>Conditioner block diagram.</p>
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<p>Schematic of the fully differential folded amplifier.</p>
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<p>Schematic of the CMFB circuit.</p>
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<p>Schematic of the differential Tow–Thomas biquad filter in MOSFET-C topology.</p>
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<p>Schematic of the filter tuning circuit.</p>
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<p>Schematic of the proposed Gm voltage current converter (conveyor).</p>
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<p>Schematic of the CMOS AB current rectifier.</p>
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<p>Comparison of the conditioner discrete realization measurement to the impedance analyzer measurement.</p>
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<p>The integrated conditioner layout.</p>
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<p>Post-layout simulation results: amplitude and phase characteristics of the designed operational amplifier in a closed-loop (gain of 2) configuration.</p>
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<p>Post-layout simulation results: (<b>a</b>) LPF and BPF amplitude characteristics, (<b>b</b>) control of the BPF center frequency by the external resistor, and (<b>c</b>) BPF amplitude characteristics at the temperature change.</p>
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<p>Post-layout simulation results: (<b>a</b>) LPF and BPF amplitude characteristics, (<b>b</b>) control of the BPF center frequency by the external resistor, and (<b>c</b>) BPF amplitude characteristics at the temperature change.</p>
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<p>Post-layout simulation results: V<sub>od</sub> output signal of the CMOS AC-DC converter.</p>
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<p>Post-layout simulation results: transfer function of the proposed AC-DC converter.</p>
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<p>Post-layout simulation results: dependence of the integrated conditioner output voltage on the input impedance.</p>
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<p>Post-layout simulation results: the integrated conditioner input-referred noise.</p>
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16 pages, 15224 KiB  
Article
Immunogenicity and Protectivity of Sputnik V Vaccine in hACE2-Transgenic Mice against Homologous and Heterologous SARS-CoV-2 Lineages Including Far-Distanced Omicron BA.5
by Inna V. Dolzhikova, Amir I. Tukhvatulin, Daria M. Grousova, Ilya D. Zorkov, Marina E. Komyakova, Anna A. Ilyukhina, Anna V. Kovyrshina, Artem Y. Shelkov, Andrey G. Botikov, Ekaterina G. Samokhvalova, Dmitrii A. Reshetnikov, Andrey E. Siniavin, Daria M. Savina, Dmitrii V. Shcheblyakov, Fatima M. Izhaeva, Alina S. Dzharullaeva, Alina S. Erokhova, Olga Popova, Tatiana A. Ozharovskaya, Denis I. Zrelkin, Polina P. Goldovskaya, Alexander S. Semikhin, Olga V. Zubkova, Andrey A. Nedorubov, Vladimir A. Gushchin, Boris S. Naroditsky, Denis Y. Logunov and Alexander L. Gintsburgadd Show full author list remove Hide full author list
Vaccines 2024, 12(10), 1152; https://doi.org/10.3390/vaccines12101152 - 8 Oct 2024
Viewed by 522
Abstract
Background: The SARS-CoV-2 virus continuously acquires mutations, leading to the emergence of new variants. Notably, the effectiveness of global vaccination efforts has significantly declined with the rise and spread of the B.1.1.529 (Omicron) variant. Methods: The study used virological, immunological and histological research [...] Read more.
Background: The SARS-CoV-2 virus continuously acquires mutations, leading to the emergence of new variants. Notably, the effectiveness of global vaccination efforts has significantly declined with the rise and spread of the B.1.1.529 (Omicron) variant. Methods: The study used virological, immunological and histological research methods, as well as methods of working with laboratory animals. In this study, we evaluated the Gam-COVID-Vac (Sputnik V), an adenoviral vaccine developed by the N.F. Gamaleya National Research Center for Epidemiology and Microbiology, and conducted experiments on hemizygous K18-ACE2-transgenic F1 mice. The variants studied included B.1.1.1, B.1.1.7, B.1.351, B.1.1.28/P.1, B.1.617.2, and B.1.1.529 BA.5. Results: Our findings demonstrate that the Sputnik V vaccine elicits a robust humoral and cellular immune response, effectively protecting vaccinated animals from challenges posed by various SARS-CoV-2 variants. However, we observed a notable reduction in vaccine efficacy against the B.1.1.529 (Omicron BA.5) variant. Conclusions: Our results indicate that ongoing monitoring of emerging mutations is crucial to assess vaccine efficacy against new SARS-CoV-2 variants to identify those with pandemic potential. If protective efficacy declines, it will be imperative to develop new vaccines tailored to current variants of the virus. Full article
(This article belongs to the Section COVID-19 Vaccines and Vaccination)
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<p>(<b>A</b>) Study design. (<b>B</b>) RBD-specific IgG antibody levels in the blood sera of Sputnik V-vaccinated mice (<span class="html-italic">n</span> = 5) to SARS-CoV-2 variants B.1.1.1, B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.5. (<b>C</b>) Levels of NtAb in the blood sera of Sputnik V-vaccinated mice (<span class="html-italic">n</span> = 10) to the SARS-CoV-2 variants B.1.1.1, B1.1.7 (Alpha), B.1.351 (Beta), B.1.1.28/P.1 (Gamma), B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.2, BA.5. (<b>D</b>) The number of proliferating CD4+ T cells derived from spleens of Sputnik V- and PBS-vaccinated mice (<span class="html-italic">n</span> = 5 per group) in response to restimulation by recombinant glycoproteins of the B.1.1.1, B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.5. (<b>E</b>) The number of proliferating CD8+ T cells derived from spleens of Sputnik V- and PBS-vaccinated mice (<span class="html-italic">n</span> = 5 per group) in response to restimulation by recombinant glycoproteins of the B.1.1.1, B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.5. (<b>F</b>) Concentration of IFN-γ in the medium from splenocytes restimulated with glycoproteins of the B.1.1.1, B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.5. (<b>G</b>) Concentration of IL-2 in the medium from splenocytes restimulated with glycoproteins of the B.1.1.1, B.1.617.2 (Delta) and B.1.1.529 (Omicron) sublineages BA.1, BA.5. Dots represent individual data points. In B-C horizontal lines represent geometric mean titers (values are indicated above each group), and whiskers are 95% CIs. In D-G horizontal lines represent mean (values are indicated above each group), and whiskers are SD. Groups were compared by non-parametric ANOVA (Friedman’s test) with Dunn’s multiple comparison post-test (ns—not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Experiment scheme. K18-hACE2-transgenic mice were immunized twice with vaccine or placebo (PBS buffer). At day 7 after second vaccine/placebo dose mice were challenged with SARS-CoV-2 virus.</p>
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<p>(<b>A</b>) Macrophotographs and slide scans of the lungs of unvaccinated (bottom row) and vaccinated with Sputnik V (top row) K18-hACE2 mice challenged with SARS-CoV-2; hematoxylin and eosin (H&amp;E) staining; bar = 2 mm. (<b>B</b>) Histopathological analysis of K18-hACE2 mouse lungs: perivascular space (left column) and peribronchiolar space (right column) of mouse lungs; H&amp;E; bar = 100 µm. (<b>C</b>) Acute lung injury (ALI) score; 5-point score for peribronchiolar inflammation; 5-point assessment of perivascular inflammation. The boxes show the interquartile range, the whiskers show the range from minimum to maximum, and the horizontal line shows the median value. Each point on the graph corresponds to 1 field of view/1 vessel/1 bronchiole, 10 points were measured for each mouse, the data are summarized for all animals of one experimental group. The red color of the boxes corresponds to the placebo group, the light blue color represents the vaccinated group, and the white color of the boxes to the group of intact mice. Significant differences between vaccinated Sputnik V and non-vaccinated mice were measured using the two-tailed Mann–Whitney test (**** <span class="html-italic">p</span> &lt; 0.0001, ns—not significant).</p>
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<p>(<b>A</b>) Viral load (lgTCID<sub>50</sub>/<sub>mL</sub>) in lungs of vaccinated with Sputnik V (Vaccine) and non-vaccinated (placebo) mice at day 4 after SARS-CoV-2 challenge (<span class="html-italic">n</span> = 4 per Wuhan-Delta groups, <span class="html-italic">n</span> = 5 per Omicron BA.5 group). Significant differences between vaccinated Sputnik V and non-vaccinated mice were measured using the two-tailed Mann-Whitney test (* <span class="html-italic">p</span> &lt; 0.05). (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>,<b>L</b>) Weight dynamics (mean ± SEM) in Vaccine and Control groups after challenge with SARS-CoV-2 variants B.1.1.1 (<b>B</b>), B.1.1.7 (<b>D</b>), B.1.351 (<b>F</b>), B.1.1.28/P.1 (<b>H</b>), B.1.617.2 (<b>J</b>), B.1.1.529 BA.5 (<b>L</b>) (<span class="html-italic">n</span> = 8/per group). Survival (%) in Vaccine and Control groups after challenge with SARS-CoV-2 variants B.1.1.1 (<b>C</b>), B.1.1.7 (<b>E</b>), B.1.351 (<b>G</b>), B.1.1.28/P.1 (<b>I</b>), B.1.617.2 (<b>K</b>), B.1.1.529 BA.5 (<b>L</b>,<b>M</b>) (<span class="html-italic">n</span> = 8/per group). Significant differences between vaccinated Sputnik V and non-vaccinated mice were measured using the Log-rank (Mantel–Cox) test (*** <span class="html-italic">p</span> &lt;0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure A1
<p>Histopathological analysis of the lungs of K18-hACE2 mice 7 days after infection with SARS-CoV-2 (B.1.1.529 (Omicron) sublineage BA.5 or B.1.1.1 (Wuhan)) with Sputnik V vaccination (vaccine group) or without vaccination (placebo group). (<b>A</b>) Architecture of the perivascular space (left column) and peribronchiolar space (middle column), H&amp;E, bar = 100 µm; architecture of a full mouse lung section (right column), H&amp;E, bar = 2 mm. (<b>B</b>) 5-point assessment of perivascular inflammation; 5-point score for peribronchiolar inflammation; acute lung injury (ALI) score. The boxes show the interquartile range, the whiskers show the range from minimum to maximum, and the horizontal line shows the median value. Each point on the graph corresponds to 1 field of view/1 vessel/1 bronchiole, 10 points were measured for each mouse, the data are summarized for all animals of one experimental group. The red color of the boxes corresponds to the placebo group, the light blue color represents the vaccinated group. Significant differences between vaccinated Sputnik V and non-vaccinated mice were measured using the two-tailed Mann-Whitney test (**** <span class="html-italic">p</span> &lt; 0.0001, * <span class="html-italic">p</span> &lt; 0.0332).</p>
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