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Search Results (270)

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15 pages, 3387 KiB  
Article
Distribution and Characteristics of Ammonia Concentration by Region in Korea
by In-Ho Song, Hyun-Woong Kim, Jong-Sung Park, Seung-Myung Park, Jae-Yun Lee, Eun-Jung Nam, Yong-Jae Lim, Jung-Min Park, Myung-Soo Yoo, Seog-Yeon Cho and Hye-Jung Shin
Atmosphere 2024, 15(9), 1120; https://doi.org/10.3390/atmos15091120 (registering DOI) - 14 Sep 2024
Viewed by 333
Abstract
In this study, the characteristics of ammonia and their effects on secondary particulate matter (PM) formation were analyzed by region in Korea in 2020. The NH3 concentration was high in GJ (11.4 ppb), a neighboring agricultural area, followed by DJ (9.0 ppb) [...] Read more.
In this study, the characteristics of ammonia and their effects on secondary particulate matter (PM) formation were analyzed by region in Korea in 2020. The NH3 concentration was high in GJ (11.4 ppb), a neighboring agricultural area, followed by DJ (9.0 ppb) and SE (8.6 ppb), which are located in urban areas. On the other hand, BI (2.6 ppb) and JI (4.5 ppb), which are background regions, demonstrated a lower concentration than other areas. Seasonally, ammonia was high in spring and summer, and it generally increased when human activities are active. Therefore, it is believed that the ammonia in the atmosphere not only changes depending on local emissions, but also based on temperature-dependent phase distribution characteristics. For SE and GJ, regions with relatively high ammonia concentrations, investigations into the effect of ammonia on secondary PM formation were conducted. In both regions, the ammonium-to-sulfate mole ratio tended to increase with increasing ammonia or PM2.5 concentration. It can be assumed that the PM2.5 concentration increases as nitrates are formed under the ammonia-sufficient condition. The adjusted gas ratio is generally greater than 4, indicating that there is a lot of free ammonia. Thus, it is estimated that a reduction in ammonia would not be effective to restrain nitrate formation. Full article
(This article belongs to the Section Air Quality)
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Figure 1

Figure 1
<p>Locations of air quality research centers and contributions of individual emissions in each region in 2020.</p>
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<p>(<b>a</b>) Blank and method detection limit (3σ, 300 s) and (<b>b</b>) calibration curves of NH<sub>3</sub> measured at 6 monitoring sites.</p>
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<p>Wind rose and polar plots of NH<sub>3</sub> in GJ (up) and US (down).</p>
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<p>The monthly variations in atmospheric NH<sub>3</sub> concentrations and meteorological parameter (temp., RH, rainfall) in each site.</p>
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<p>The diurnal variations in atmospheric NH<sub>3</sub> and NOx in each site.</p>
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<p>Monthly AdjGR of SE and GJ.</p>
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<p>A/S ratio by concentration level of NH<sub>3</sub> and PM<sub>2.5</sub> in March at SE (<b>up</b>) and GJ (<b>down</b>).</p>
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14 pages, 4052 KiB  
Article
Anti-Inflammatory Effects of the Combined Treatment of Resveratrol- and Protopanaxadiol-Enriched Rice Seed Extract on Lipopolysaccharide-Stimulated RAW264.7 Cells
by Chaiwat Monmai and So-Hyeon Baek
Molecules 2024, 29(18), 4343; https://doi.org/10.3390/molecules29184343 - 13 Sep 2024
Viewed by 214
Abstract
The overproduction of proinflammatory cytokines triggers a variety of diseases. Protopanaxadiol (PPD) and resveratrol are naturally found in plants such as ginseng and have potential anti-inflammatory properties, and resveratrol- and PPD-enriched rice seeds have been previously successfully generated. Herein, the synergistic anti-inflammatory activities [...] Read more.
The overproduction of proinflammatory cytokines triggers a variety of diseases. Protopanaxadiol (PPD) and resveratrol are naturally found in plants such as ginseng and have potential anti-inflammatory properties, and resveratrol- and PPD-enriched rice seeds have been previously successfully generated. Herein, the synergistic anti-inflammatory activities of extracts of these enriched seeds were assessed in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. In comparison with treatment using extract prepared from PPD-producing transgenic rice (DJ-PPD) alone, cotreatment with DJ526 and DJ-PPD (TR_3) markedly enhanced the anti-inflammatory activities at a similar (compared to DJ526) or higher (compared to DJ-PPD) level. Cotreatment with DJ526 and DJ-PPD markedly inhibited the activation of nuclear factor kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways. Thus, DJ526 and DJ-PPD in combination suppressed the expression of phosphorylated (p)-NF-κB p65, p-p38 MAPK, and p-ERK 1/2. Cotreatment with DJ526 and DJ-PPD downregulated the expression of proinflammatory cytokines (IL-1β, IL-6, and TNF-α), LPS receptor (toll-like receptor-4, TLR-4), proinflammatory mediators (nitric oxide and PGE2), and arachidonic acid pathway critical enzyme (COX-2). These findings demonstrate the synergistic potential anti-inflammatory activities of resveratrol- and PPD-enriched rice seed extract. Full article
(This article belongs to the Special Issue Bioactive Phenolic and Polyphenolic Compounds, Volume III)
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Graphical abstract

Graphical abstract
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<p>Effect of resveratrol- and PPD-enriched rice seed extracts on the viability of LPS-stimulated RAW264.7 cells. The concentrations of DMSO, aspirin, and treatments (rice seed extract and mixture) were 0.1%, 200 ng/mL, and 100 µg/mL, respectively.</p>
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<p>Effect of resveratrol- and PPD-enriched rice seed extracts (DJ526 and DJ-PPD, respectively) on the NO production in LPS-stimulated RAW264.7 cells. The concentrations of DMSO, aspirin, and treatments (rice seed extract and mixture) were 0.1%, 200 ng/mL, and 100 µg/mL, respectively. The significant differences in NO production are presented as lowercase letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of resveratrol- and PPD-enriched rice seed extracts (DJ526 and DJ-PPD, respectively) on the immune-related gene expression in LPS-stimulated RAW26.7 cells. The effect on (<b>a</b>) <span class="html-italic">IL-1β</span>, (<b>b</b>) <span class="html-italic">IL-6</span>, (<b>c</b>) <span class="html-italic">TNF-α</span>, (<b>d</b>) <span class="html-italic">TLR-4</span>, (<b>e</b>) <span class="html-italic">iNOS</span>, and (<b>f</b>) <span class="html-italic">COX-2</span> expression. The concentrations of DMSO, aspirin, and treatments (rice seed extract and mixture) were 0.1%, 200 ng/mL, and 100 µg/mL, respectively. The significant differences in gene expression levels are presented as lowercase letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of resveratrol- and PPD-enriched rice seed extracts (DJ526 and DJ-PPD, respectively) on PGE<sub>2</sub> production in LPS-stimulated RAW264.7 cells. The concentrations of DMSO, aspirin, and treatments (rice seed extract and mixture) were 0.1%, 200 ng/mL, and 100 µg/mL, respectively. The significant differences in PGE<sub>2</sub> production are presented as lowercase letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of resveratrol- and PPD-enriched rice seed extracts (DJ526 and DJ-PPD, respectively) on the expression of immune-associated proteins in LPS-stimulated RAW264.7 cells. (<b>a</b>) Representative of blot analysis, (<b>b</b>) densitometric analyses of p-p38 MAPK protein expression, (<b>c</b>) densitometric analyses of p-ERK 1/2 protein expression, and (<b>d</b>) densitometric analyses of p-NF-κB p65 protein expression. The concentrations of DMSO, aspirin, and treatments (rice seed extract and mixture) were 0.1%, 200 ng/mL, and 100 µg/mL, respectively. The significant differences in protein expression are presented as lowercase letters at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The calibration curve of NaNO<sub>2</sub> (0.00–100.00 µM).</p>
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<p>Standard curve of PGE<sub>2</sub> production over the range of 39.0625–2500 pg. OD = optical density.</p>
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26 pages, 1908 KiB  
Article
Development of a Nutrient Profile Model for Dishes in Japan Version 1.0: A New Step towards Addressing Public Health Nutrition Challenges
by Yuko Tousen, Jun Takebayashi, Chika Okada, Mariko Suzuki, Ai Yasudomi, Katsushi Yoshita, Yoshiko Ishimi and Hidemi Takimoto
Nutrients 2024, 16(17), 3012; https://doi.org/10.3390/nu16173012 - 6 Sep 2024
Viewed by 861
Abstract
To address the rising incidence of non-communicable diseases (NCDs) and promote healthier eating habits, Japan requires a culturally tailored Nutrient Profile Model. This study aimed to develop a Nutrient Profile Model for Dishes in Japan version 1.0 (NPM-DJ (1.0)) that corresponds to the [...] Read more.
To address the rising incidence of non-communicable diseases (NCDs) and promote healthier eating habits, Japan requires a culturally tailored Nutrient Profile Model. This study aimed to develop a Nutrient Profile Model for Dishes in Japan version 1.0 (NPM-DJ (1.0)) that corresponds to the nutritional issues and food culture in Japan. The aim of the NPM-DJ (1.0) was to promote the health of the general population, and to prevent the increase in NCDs in Japan. The NPM-DJ (1.0) categorizes dishes into staples, sides, mains, mixed dishes, and mixed dishes with staples. The model evaluates dishes based on energy, saturated fats, sugars, and sodium as restricted nutrients, while considering protein, dietary fiber, and the weight of certain food groups as recommended nutrients. The distribution of the overall score for each dish category was analyzed and a rating algorithm was created. The baseline, modification points, and final scores were significantly lower for side dishes than for staple dishes. In contrast, the baseline points and final scores were significantly higher for mixed dishes with staple. The model effectively differentiated nutritional profiles across five dishes categories, which may promote healthier dish reformulation by food businesses operators and encourage consumers to select healthier dishes. Full article
(This article belongs to the Section Nutrition Methodology & Assessment)
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Figure 1

Figure 1
<p>Steps to assess the Nutrient Profile Model for Dishes in Japan version 1.0.</p>
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<p>Protein cap calculation algorithm of the Nutrient Profile Model for Dishes in Japan version 1.0.</p>
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<p>The distribution of energy, saturated fatty acid, sugar, sodium, and baseline points using the NPM-DJ (1.0). The number of each category is as follows: staple dish = 20; side dish = 34; main dish = 21; mixed dish = 12; and mixed dish with staple = 18. ○: outside the box indicates an outlier. ×: inside the box indicates the average (excluding the outlier). The top, middle, and bottom of the box indicate the third (75th percentile), second (median), and first (25th percentile) quartiles, respectively. The upper bar of the box plot indicates the maximum value and the lower bar indicates the minimum value. Outliers were values that were more than 1.5 times the first or third quartile range. Comparisons were made between all dish categories using the nonparametric Kruskal–Wallis test, followed by multiple comparisons using the Steel test. Staple dish was used as the control group, and tests were conducted to determine whether the values were significantly higher or lower than those of the staple dish. a, b: values with letters were significantly different from the staple dish. Statistical significance was set at a <span class="html-italic">p</span>-value of less than 0.05.</p>
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<p>The distribution of vegetable (V), protein, dietary fiber, and modification points using the NPM-DJ (1.0). The number of dishes in each category is as follows: staple dish = 20; side dish = 34; main dish = 21; mixed dish = 12; and mixed dish with staple = 18. Modification points are positive points; however, because they are subtracted from the baseline points to calculate the final score, they are shown as negative points. ○: outside the box indicates an outlier. ×: inside the box indicates the average (excluding the outlier). The top, middle, and bottom of the box indicate the third (75th percentile), second (median), and first (25th percentile) quartiles, respectively. The upper bar of the box plot indicates the maximum value and the lower bar indicates the minimum value. Outliers were values that were more than 1.5 times the first or third quartile range. Comparisons were made between all dish categories using the nonparametric Kruskal–Wallis test, followed by multiple comparisons using the Steel test. Staple dishes were used as the control group, and tests were conducted to determine whether the values were significantly higher or lower than those of the staple dish. a, b: values with letters were significantly different from the staple dish. Statistical significance was set at a <span class="html-italic">p</span>-value of less than 0.05.</p>
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<p>The distribution of baseline, modification, and final points using the NPM-DJ (1.0). The number of dishes in each category is as follows: staple dish = 20; side dish = 34; main dish = 21; mixed dish = 12; and mixed dish with staple = 18. Modification points are positive points; however, because they are subtracted from the baseline points to calculate the final score, they are shown as negative points. ○: outside the box indicates an outlier. ×: inside the box indicates the average (excluding the outlier). The top, middle, and bottom of the box indicate the third (75th percentile), second (median), and first (25th percentile) quartiles, respectively. The upper bar of the box plot indicates the maximum value and the lower bar indicates the minimum value. Outliers were values that were more than 1.5 times the first or third quartile range. Comparisons were made between all dish categories using the nonparametric Kruskal–Wallis test, followed by multiple comparisons using the Steel test. Staple dishes were used as the control group, and tests were conducted to determine whether the values were significantly higher or lower than those of the staple dishes. a, b: values with letters were significantly different from the staple dishes. Statistical significance was set at a <span class="html-italic">p</span>-value of less than 0.05.</p>
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26 pages, 11651 KiB  
Article
The GBA1 K198E Variant Is Associated with Suppression of Glucocerebrosidase Activity, Autophagy Impairment, Oxidative Stress, Mitochondrial Damage, and Apoptosis in Skin Fibroblasts
by Laura Patricia Perez-Abshana, Miguel Mendivil-Perez, Marlene Jimenez-Del-Rio and Carlos Velez-Pardo
Int. J. Mol. Sci. 2024, 25(17), 9220; https://doi.org/10.3390/ijms25179220 - 25 Aug 2024
Viewed by 671
Abstract
Parkinson’s disease (PD) is a multifactorial, chronic, and progressive neurodegenerative disorder inducing movement alterations as a result of the loss of dopaminergic (DAergic) neurons of the pars compacta in the substantia nigra and protein aggregates of alpha synuclein (α-Syn). Although its etiopathology agent [...] Read more.
Parkinson’s disease (PD) is a multifactorial, chronic, and progressive neurodegenerative disorder inducing movement alterations as a result of the loss of dopaminergic (DAergic) neurons of the pars compacta in the substantia nigra and protein aggregates of alpha synuclein (α-Syn). Although its etiopathology agent has not yet been clearly established, environmental and genetic factors have been suggested as the major contributors to the disease. Mutations in the glucosidase beta acid 1 (GBA1) gene, which encodes the lysosomal glucosylceramidase (GCase) enzyme, are one of the major genetic risks for PD. We found that the GBA1 K198E fibroblasts but not WT fibroblasts showed reduced catalytic activity of heterozygous mutant GCase by −70% but its expression levels increased by 3.68-fold; increased the acidification of autophagy vacuoles (e.g., autophagosomes, lysosomes, and autolysosomes) by +1600%; augmented the expression of autophagosome protein Beclin-1 (+133%) and LC3-II (+750%), and lysosomal–autophagosome fusion protein LAMP-2 (+107%); increased the accumulation of lysosomes (+400%); decreased the mitochondrial membrane potential (∆Ψm) by −19% but the expression of Parkin protein remained unperturbed; increased the oxidized DJ-1Cys106-SOH by +900%, as evidence of oxidative stress; increased phosphorylated LRRK2 at Ser935 (+1050%) along with phosphorylated α-synuclein (α-Syn) at pathological residue Ser129 (+1200%); increased the executer apoptotic protein caspase 3 (cleaved caspase 3) by +733%. Although exposure of WT fibroblasts to environmental neutoxin rotenone (ROT, 1 μM) exacerbated the autophagy–lysosomal system, oxidative stress, and apoptosis markers, ROT moderately increased those markers in GBA1 K198E fibroblasts. We concluded that the K198E mutation endogenously primes skin fibroblasts toward autophagy dysfunction, OS, and apoptosis. Our findings suggest that the GBA1 K198E fibroblasts are biochemically and molecularly equivalent to the response of WT GBA1 fibroblasts exposed to ROT. Full article
(This article belongs to the Special Issue Autophagy in Health, Aging and Disease, 4th Edition)
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Figure 1

Figure 1
<p>Enzyme activity and expression levels of glucocerebrosidase (GCase) in fibroblasts bearing the mutation GBA1 K198E with in silico molecular docking of glucosylsphingosine (GlcSph) and GCase. (<b>A</b>) Enzyme activity of GCase activity in WT GBA1 (blue bar) and GBA1 K198E fibroblasts (red bar). (<b>B</b>) Protein expression levels of glucocerebrosidase (GCase) in WT GBA1 (blue curve) and GBA1 K198E fibroblasts (red curve) assessed by flow cytometry. (<b>C</b>) Quantification of GCase expression levels. Numbers in histograms represent positive cellular population for the tested marker. (<b>D</b>) Representative CB-Dock2 3D images showing the molecular docking of WT GCase (created by Alphafold2) with GlcSph (PubChem CID: 5280570). (<b>E</b>) Representative enlarged image of (<b>D</b>) showing the molecular docking of WT GCase with GlcSph. (<b>F</b>) Two-dimensional diagram showing conventional hydrogen bond between GCaseGlcSph interaction. (<b>G</b>) Representative CB-Dock2 3D images showing the molecular docking of WT GCase with conduritol-B-epoxide (CBE, CID: 136345). (<b>H</b>) Representative enlarged image of (G) showing the molecular docking of WT GCase with CBE. The data are presented as mean ± SD of two independent experiments in triplicated (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>GBA1 K198E variant induces acute GCase deficiency in the autophagy–lysosome system reflected as acidification of autophagosomes, lysosomes, and autolysosomes in untreated or treated fibroblast with rapamycin (RAP) or bafilomycin A1 (BAF). (<b>A</b>) Representative flow cytometry histograms showing the autophagy–lysosome acidification in untreated WT (blue curve) and GBA1 K198E fibroblasts (red curve), (<b>B</b>) WT and GBA1 K198E fibroblasts treated with rapamycin (RAP, 10 nM) or (<b>C</b>) bafilomycin A1 (BAF, 10 nM). (<b>D</b>) Quantitative analysis of autophagy–lysosome (acidification)-positive cells. (<b>E</b>–<b>G</b>) Representative immunofluorescence images showing autophagy–lysosome acidification in (<b>E</b>) untreated WT fibroblasts, (<b>F</b>) treated with rapamycin (RAP, 10 nM) or (<b>G</b>) treated bafilomycin A1 (BAF, 10 nM). (<b>H</b>–<b>J</b>) Representative immunofluorescence images showing autophagy–lysosome acidification in (<b>H</b>) untreated GBA1 K198E fibroblasts, (<b>I</b>) treated with rapamycin (RAP, 10 nM) or (<b>J</b>) treated bafilomycin A1 (BAF, 10 nM). (<b>K</b>) Quantitative analysis of autophagy lysosome as mean fluorescence intensity (MFI). Numbers in histograms represent positive cellular population for the tested marker. The histograms and photomicrographs represent 1 out of 3 independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001; ns = not significant. Image magnification: 200×.</p>
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<p>GBA1 K198E variant upregulates expression of autophagic Beclin-1, LC3-II, and LAMP-2 proteins in fibroblasts. (<b>A</b>) Representative flow cytometry histogram analysis showing Beclin-1 expression in WT-GBA1 (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Quantitative (%) analysis of Beclin-1 expression in WT (<b>blue bar</b>) and GBA1 K198E fibroblast (red bar); (<b>C</b>) representative immunofluorescence image showing Beclin-1 reactivity in WT GBA1 and (<b>D</b>) K198E GBA1 fibroblasts (red fluorescence). (<b>E</b>) Quantitative (MFI) analysis of Beclin-1. (<b>F</b>) Representative flow cytometry histogram analysis showing LC3-II expression in WT GBA1 (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>G</b>) Quantitative analysis of LC3-II in WT (blue bar) and GBA1 K198E fibroblasts (red bar). (<b>H</b>) Representative immunofluorescence images showing LCIII-2 reactivity in fibroblasts WT-GBA1 and (<b>I</b>) GBA1 K198E fibroblasts (red fluorescence). (<b>J</b>) Quantitative analysis of LC3-II. (<b>K</b>) Representative flow cytometry histogram analysis showing LAMP-2 expression in WT-GBA1 (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>L</b>) Quantitative analysis of LAMP-2 in WT (blue bar) and GBA1 K198E fibroblasts (red bar). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>M</b>) Representative immunofluorescence images showing LAMP-2 reactivity in fibroblasts WT GBA1 and (<b>N</b>) GBA1 K198E fibroblasts (red fluorescence). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>O</b>) Quantitative analysis of LAMP-2. Numbers in histograms represent positive cellular population for the tested marker. Histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: * <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. Image magnification; 200×.</p>
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<p>GBA1 K198E variant increases the accumulation of lysosomes and decreases the mitochondrial membrane potential (∆Ψm) in mutant fibroblasts, while rotenone aggravates the damage. (<b>A</b>) Representative flow cytometry histogram showing WT (blue curve) or GBA1 K198E fibroblasts (red curve) stained with Lysotracker<sup>®</sup>. (<b>B</b>) Representative flow cytometry histogram showing WT (blue curve) or GBA1 K198E fibroblasts (red curve) exposed to rotenone (ROT, 1 μM) and stained with Lysotracker<sup>®</sup>. (<b>C</b>) Percentage of Lysotracker<sup>®</sup> stain-positive cells in untreated or treated WT (blue bar) and GBA1 K198E fibroblasts (red bar) with ROT. (<b>D</b>) Representative flow cytometry histogram showing WT (blue curve) or GBA1 K198E fibroblasts (red curve) stained with Mitotracker<sup>®</sup>. (<b>E</b>) Representative flow cytometry histogram showing WT (blue curve) or GBA1 K198E fibroblasts (red curve) exposed to rotenone (ROT, 1 μM) stained with Mitotracker<sup>®</sup>. (<b>F</b>) Percentage of Mitotracker<sup>®</sup> stain-positive cells in untreated or treated WT (blue bar) and GBA1 K198E fibroblasts (red bar) with ROT. (<b>G</b>) Representative fluorescence microscopy image showing untreated WT fibroblasts stained with Lysotracker<sup>®</sup> and Mitotracker<sup>®</sup> (red fluorescence), (<b>G’</b>) close-up of image G (white line square); (<b>H</b>) representative fluorescence microscopy image showing untreated GBA1 K198E fibroblasts stained with Lysotracker<sup>®</sup> (green fluorescence) and Mitotracker<sup>®</sup> (red fluorescence). (<b>H’</b>) Close-up of image H (white line square); (<b>I</b>) representative fluorescence microscopy photograph showing WT fibroblasts treated with ROT (1 μM) and stained with Lysotracker<sup>®</sup> (green fluorescence) and Mitotracker<sup>®</sup> (red fluorescence), (<b>I’</b>) close-up of image I (white line square); (<b>J</b>) representative fluorescence microscopy photograph showing GBA1 K198E fibroblasts treated with ROT (1 μM) and stained with Lysotracker<sup>®</sup> (green fluorescence) and Mitotracker<sup>®</sup>. (<b>J’</b>) Close-up of image J (white line square). (<b>K</b>) Quantification of the Lysotracker<sup>®</sup> mean fluorescence intensity (MFI) in untreated or treated WT (blue bar) and GBA1 K198E fibroblasts (red bar) with ROT. (<b>L</b>) Quantification of the MitoTracker<sup>®</sup> high mean fluorescence intensity (MFI) in untreated or treated WT (blue bar) and GBA1 K198E fibroblasts (red bar) with ROT. Nuclei were stained with Hoechst 33342 (blue fluorescence). Histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: * <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. Image magnification, 200×. ns = not significant.</p>
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<p>GBA1 K198E fibroblasts show unchanged expression levels of Parkin and mitochondrial colocalization of Parkin and TOM20 proteins, but Parkin shows a tendency to increase and mitochondrial colocalization upon rotenone exposure. (<b>A</b>) Representative flow cytometry histogram analysis showing the expression of Parkin protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Representative flow cytometry histogram analysis showing the expression of Parkin protein in WT (blue) and GBA1 K198E fibroblasts (red) upon rotenone (ROT, 1 μM) exposure. (<b>C</b>) Quantitative analysis of parkin expression. (<b>D</b>–<b>G</b>) Representative fluorescence merge density images of colocalization of Parkin and the translocase of the outer membrane of mitochondria 20 (TOM20) proteins in (<b>D</b>) WT fibroblasts (white fluorescence), (<b>E</b>) GBA1 K198E fibroblasts, (<b>F</b>) WT fibroblasts treated with rotenone (ROT, 1 μM), and (<b>G</b>) GBA1 K198E fibroblasts exposed to ROT (1 μM). (<b>D’</b>–<b>G’</b>) Representative fluorescence merge images in layer colocalization of Parkin (<b>D’’</b>–<b>G’</b>’, green fluorescence) with TOM20 proteins (<b>D’’’</b>–<b>G”’</b>, red fluorescence). Nuclei were stained with Hoechst 33342 (blue, <b>F’’’’</b>–<b>G’”’</b>). (<b>H</b>) Quantification of the Parkin/mitochondria mean fluorescence intensity (MFI). Flow cytometry histograms represent one out of three conducted experiments. The results are reported as the mean ± standard deviation of 3 independent experiments (dots in bar). Fluorescence microphotographs represent one out of three experiments (n=3). A one-way ANOVA, followed by Tukey’s test, was conducted for statistical analysis. Statistically significant variations are indicated by * <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; ns = no significance.</p>
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<p>GBA1 K198E fibroblasts show an endogenously high percentage of oxidized DJ-1-Cys106-SOH into DJ-1 Cys106SO<sub>3</sub>. (<b>A</b>) Representative flow cytometry histogram analysis showing oxidized DJ-1 (Cys106-SO<sub>3</sub>) protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Representative flow cytometry histogram analysis showing oxidized DJ-1 (Cys106-SO<sub>3</sub>) protein in WT (blue color) and GBA1 K198E fibroblasts (red color) upon rotenone (ROT, 1 μM) exposure. Flow cytometry histograms represent one out of three conducted experiments. The results are reported as the mean ± standard deviation of 3 independent experiments. (<b>C</b>) Quantitative analysis of oxidized DJ-1 (Cys106-SO<sub>3</sub>) protein. (<b>D</b>) Representative immunofluorescence image showing oxidized DJ-1 protein (Cys106-SO<sub>3,</sub> green fluorescence) in WT GBA1 fibroblasts. (<b>E</b>) Representative immunofluorescence image showing oxidized DJ-1 protein (Cys106-SO<sub>3,</sub> green fluorescence) in GBA1 K198E fibroblasts. (<b>F</b>) Representative fluorescence microscopy image showing oxidized DJ-1 protein (Cys106-SO<sub>3,</sub> green fluorescence) in WT GBA1 fibroblast treated with ROT (1 μM). (<b>G</b>) Representative fluorescence microscopy image showing oxidized DJ-1 (Cys106-SO<sub>3,</sub> green fluorescence) protein in GBA1 K198E fibroblast treated with ROT (1 μM). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>H</b>) Quantitative analysis of oxidized DJ-1 protein (Cys106-SO<sub>3</sub>). Numbers in histograms represent positive cellular population for the tested marker. The histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001; ns = not significance. Image magnification: 200×.</p>
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<p>GBA1 K198E fibroblasts show an endogenously high percentage of phosphorylated LRRK2 at Ser935. (<b>A</b>) Representative flow cytometry histogram analysis showing phosphorylated LRRK2 at Ser935 protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Representative flow cytometry histogram analysis showing pSer935 LRRK2 protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve) upon rotenone (ROT, 1 μM) exposure. (<b>C</b>) Quantitative analysis of pSer935 LRRK2 protein. (<b>D</b>) Representative immunofluorescence image showing pSer935 LRRK2 protein (green fluorescence) in WT GBA1 fibroblasts. (<b>E</b>) Representative immunofluorescence image showing pSer935 LRRK2 protein (green fluorescence) in GBA1 K198E fibroblasts. (<b>F</b>) Representative fluorescence microscopy image showing pSer935 LRRK2 protein (green fluorescence) in WT GBA1 fibroblast treated with ROT (1 μM). (<b>G</b>) Representative fluorescence microscopy image showing pSer935 LRRK2 protein (green fluorescence) protein in GBA1 K198E fibroblast treated with ROT (1 μM). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>H</b>) Quantitative analysis of pSer935 LRRK2 protein. Numbers in histograms represent positive cellular population for the tested marker. The histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: * <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. Image magnification: 200×.</p>
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<p>GBA1 K198E fibroblasts show an endogenously high percentage of phosphorylated α-Syn at Ser129. (<b>A</b>) Representative flow cytometry histogram analysis showing phosphorylated α-Syn at Ser129 protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Representative flow cytometry histogram analysis showing pSer129 α-Syn protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve) upon rotenone (ROT, 1 μM) exposure. (<b>C</b>) Quantitative analysis of pSer129 α-Syn protein. (<b>D</b>) Representative immunofluorescence image showing pSer129 α-Syn protein (green fluorescence) in WT GBA1 fibroblasts. (<b>E</b>) Representative immunofluorescence image showing pSer129 α-Syn protein (green fluorescence) in GBA1 K198E fibroblasts. (<b>F</b>) Representative fluorescence microscopy image showing pSer129 α-Syn protein (green fluorescence) in WT GBA1 fibroblast treated with ROT (1 μM). (<b>G</b>) Representative fluorescence microscopy image showing pSer129 α-Syn protein (green fluorescence) in GBA1 K198E fibroblast treated with ROT (1 μM). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>H</b>) Quantitative analysis of pSer129 α-Syn protein. Numbers in histograms represent positive cellular population for the tested marker. The histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001. Image magnification: 200×.</p>
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<p>GBA1 K198E fibroblasts show endogenously high cleaved caspase 3 (CC3) compared to WT fibroblasts. (<b>A</b>) Representative flow cytometry histogram analysis showing cleaved caspase 3 (CC3) protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve). (<b>B</b>) Representative flow cytometry histogram analysis showing CC3 protein in WT (blue curve) and GBA1 K198E fibroblasts (red curve) upon rotenone (ROT, 1 μM) exposure. (<b>C</b>) Quantitative analysis of CC3 protein. (<b>D</b>) Representative immunofluorescence image showing CC3 protein (green fluorescence) in WT GBA1 fibroblasts. (<b>E</b>) Representative immunofluorescence image showing CC3 protein (green fluorescence) in GBA1 K198E fibroblasts. (<b>F</b>) Representative fluorescence microscopy image showing CC3 protein (green fluorescence) in WT GBA1 fibroblast treated with ROT (1 μM). (<b>G</b>) Representative fluorescence microscopy image showing CC3 protein (green fluorescence) protein in GBA1 K198E fibroblast treated with ROT (1 μM). Nuclei were stained with Hoechst 33342 (blue fluorescence). (<b>H</b>) Quantitative analysis of CC3 protein. Numbers in histograms represent positive cellular population for the tested marker. The histograms and photomicrographs represent one out of three independent experiments (n = 3). The data are presented as mean ± SD of three independent experiments (dots in bar). One-way ANOVA followed by Tukey’s test. Statistically significant differences: * <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. Image magnification: 200×.</p>
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<p>Schematic representation of the effect of K198E GCase on the autophagy–lysosomal pathway and apoptosis cell death in skin fibroblasts. (<b>A</b>) <span class="html-italic">Autophagy–lysosomal pathway and K198E GCase.</span> In WT GBA1 fibroblasts, the autophagy process begins with the ensemble of the ULK1 complex (unc-51-like kinase, ULK; autophagy-related protein 13, ATG13; RB1-inducible coiled-coil protein 1, FIP200; ATG101) (<b>1</b>), which then triggers nucleation of the phagophore (<b>2</b>) by phosphorylating components of the class III PI3K complex, involving Class IIIPI3K, vacuolar protein sorting 34 (VPS34) and Beclin 1 (Bc 1), among other proteins. These actions lead to the attachment of the microtubule-associated protein light chain 3 (LC3-II) to the phagophore (<b>3</b>), which further expand and form a sealed double-membrane, forming the autophagosome (<b>4</b>). This last vacuole, helped by lysosomal-associated membrane protein (LAMP-2, <b>5</b>), fused with the lysosome (<b>6</b>) to form the autolysosome (<b>7</b>), where unwanted cytosolic material (damaged mitochondria, protein aggregates, GlcCer (black dots)) is eliminated and recycled. On the other hand, enzymatic alteration of GCase mainly by genetic mutations (e.g., K198E) in at least one of the alleles of GBA1 almost leads to the undigested substrate GlcCer. As a result, lysosomes accumulate, thereby affecting the production line of autophagosomes, and autolysosomes. Indeed, heterozygous K198E GCase induces abnormal upregulation of protein Beclin 1, LC3-II and LAMP-2, and provokes an abnormally high accumulation of autophagosomes, lysosomes, and autolysosomes. Overall, K198E GCase provokes a highly deficient autophagy–lysosomal pathway in skin fibroblasts. (<b>B</b>) <span class="html-italic">Apoptosis pathway and K198E GCase.</span> In parallel, WT GCase interacts the mitochondrial respiratory component complex I (<b>8</b>, upper panel), thereby preserving energy metabolism (e.g., high ∆Ψm) and mitochondrial and nuclei integrity (<b>14</b>, upper panel). On the contrary, malfunction of mitochondrial Complex I due to improper interactions with K198E GCase (<b>8</b>, lower panel) allows electrons to leak, which are taken by molecular dioxygen (O2). Reduction of oxygen ends up in the formation of anion superoxide radicals (O2.-), which then dismutate into H2O2 (<b>9</b>). As a messenger molecule, H2O2 oxidized DJ-1Cys106-SOH (DJ-1red, <b>10</b>) into DJ-1Cys106-SO3 (-<span class="html-italic">sulfonic</span> group, DJ-1oxi, <b>11</b>) and induces the activation of the IKK complex (<b>10</b>), which phosphorylates LRRK2 at residue Ser935 (<b>11</b>). Phosphorylated LRRK2 kinase phosphorylates in turn the following three main targets: DLP-1 (dynamin-like protein), αSyn at residue Ser129, and PRDX3 (<b>12</b>). These three proteins might induce or contribute to mitochondria depolarization (e.g., low ∆Ψm), thereby inducing activation of caspase 3 (CASP3) into cleaved caspase 3 (CC3, <b>13</b>). Lastly, CC3 induces the fragmentation of nuclei (<b>14</b>). All these markers constitute typical signs of apoptosis (<b>8</b>–<b>14</b>).</p>
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16 pages, 2172 KiB  
Article
Adeno-Associated Virus (AAV)-Delivered Exosomal TAT and BiTE Molecule CD4-αCD3 Facilitate the Elimination of CD4 T Cells Harboring Latent HIV-1
by Xiaoli Tang, Huafei Lu, Patrick M. Tarwater, David L. Silverberg, Christoph Schorl and Bharat Ramratnam
Microorganisms 2024, 12(8), 1707; https://doi.org/10.3390/microorganisms12081707 - 18 Aug 2024
Viewed by 825
Abstract
Combinatorial antiretroviral therapy (cART) has transformed HIV infection from a death sentence to a controllable chronic disease, but cannot eliminate the virus. Latent HIV-1 reservoirs are the major obstacles to cure HIV-1 infection. Previously, we engineered exosomal Tat (Exo-Tat) to reactivate latent HIV-1 [...] Read more.
Combinatorial antiretroviral therapy (cART) has transformed HIV infection from a death sentence to a controllable chronic disease, but cannot eliminate the virus. Latent HIV-1 reservoirs are the major obstacles to cure HIV-1 infection. Previously, we engineered exosomal Tat (Exo-Tat) to reactivate latent HIV-1 from the reservoir of resting CD4+ T cells. Here, we present an HIV-1 eradication platform, which uses our previously described Exo-Tat to activate latent virus from resting CD4+ T cells guided by the specific binding domain of CD4 in interleukin 16 (IL16), attached to the N-terminus of exosome surface protein lysosome-associated membrane protein 2 variant B (Lamp2B). Cells with HIV-1 surface protein gp120 expressed on the cell membranes are then targeted for immune cytolysis by a BiTE molecule CD4-αCD3, which colocalizes the gp120 surface protein of HIV-1 and the CD3 of cytotoxic T lymphocytes. Using primary blood cells obtained from antiretroviral treated individuals, we find that this combined approach led to a significant reduction in replication-competent HIV-1 in infected CD4+ T cells in a clonal in vitro cell system. Furthermore, adeno-associated virus serotype DJ (AAV-DJ) was used to deliver Exo-Tat, IL16lamp2b and CD4-αCD3 genes by constructing them in one AAV-DJ vector (the plasmid was named pEliminator). The coculture of T cells from HIV-1 patients with Huh-7 cells infected with AAV-Eliminator viruses led to the clearance of HIV-1 reservoir cells in the in vitro experiment, which could have implications for reducing the viral reservoir in vivo, indicating that Eliminator AAV viruses have the potential to be developed into therapeutic biologics to cure HIV-1 infection. Full article
(This article belongs to the Special Issue Viral Diseases: Current Research and Future Directions)
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<p>Cytotoxic T lymphocytes (CTLs) from healthy donor blood clear U1 cells. U1 cells were cocultured with CTLs from healthy donor blood at target:effector = 1:40 in RPMI1640 medium containing 10% fetal bovine serum and 100 units penicillin/100 μg streptomycin/mL. Twenty-four hours later, cells and supernatant were separated by centrifugation. Cell pellets were lysed with Pierce IP Lysis Buffer. The p24 levels in supernatants and cell lysates were measured using an Alliance HIV-1 ELISA Kit (PerkinElmer Inc.) following the manufacturer’s instructions. The OD450nm readouts are shown as relative p24 levels. (<b>A</b>) CTLs kill U1 cells, leading to the release of p24 into culture medium. (<b>B</b>) CTLs kill U1 cells, leading to cell loss and total intracellular p24 level decrease.</p>
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<p>Autologous cytotoxic T cells fail to effectively eliminate CD4+ T cells harboring reactivated HIV-1. Five million T cells from the blood of cART-treated HIV-1-infected individuals were cultured in RPMI 1640 medium supplemented with penicillin-streptomycin, L-glutamine, 0.1 nM IL-7, 1 μM tenofovir, 1 μM nevirapine, 1 μM emtricitabine and treated with control exosomes (Exo-C) or Exo-Tat exosomes for 4 days. On day 5, half of the T cells were used to check the activation of latent HIV-1 by measuring the intracellular HIV-1 mRNA level using RT-qPCR (<b>A</b>). Another half of the T cells were cocultured with MOLT-4/CCR5 cells and irradiated PBMCs in an HIVE assay medium containing 2.5 μg/mL of Phytohemagglutinin (PHA) and 60 U/mL of IL-2 for an additional 14 days. The culture medium was changed every 3 days. The final culture supernatants were used for measuring p24 using Simoa Technology with an analytical sensitivity of 0.0074 pg/mL (<b>B</b>).</p>
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<p>Construction and expression of CD4-αCD3. (<b>A</b>) Schematic structure of CD4-αCD3. The domains 1 and 2 of CD4 are fused to the single-chain variable fragment of anti-CD3 via a linker. An HA-tag is attached to the C-terminus of the fused protein for the convenience of measuring the expression level of the fusion protein. (<b>B</b>) Expression of CD4-αCD3 in HEK293T cells. An empty vector pAAV-MCS (EV) or expression vector pAAV-CD4-αCD3 was transfected into HEK293T cells, respectively. The protein expression level of CD4-αCD3 was determined by Western blot. (<b>C</b>) Secretion of CD4-αCD3 into culture medium of MOLT-4 cells. MOLT-4 cells were transfected with EV or pAAV-CD4-αCD3. Forty-eight hours post-transfection, the supernatants were collected and precipitated with anti-HA rabbit monoclonal antibody (sepharose beads conjugate). The precipitates were used for Western blot to measure levels of secreted CD4-αCD3.</p>
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<p>CD4αCD3 mediates the killing of U1 cells by cytotoxic T lymphocytes. U1 cells and CTLs from healthy donor blood were cocultured at target:effector = 1:40 in RPMI1640 medium plus control solution (control) or CD4αCD3 solution. Twenty-four hours later, cells and supernatant were separated by centrifugation. Cell pellets were lysed with Pierce IP Lysis Buffer. The p24 levels in supernatants and cell lysates were measured using an Alliance HIV-1 ELISA Kit (PerkinElmer Inc.) following the manufacturer’s instructions. (<b>A</b>) CD4αCD3 facilitates the killing of U1 cells by CTLs leading to further increase in extracellular p24 level. (<b>B</b>) CD4αCD3 facilitates the killing of U1 cells by CTLs leading to further cell loss and total intracellular p24 level decrease.</p>
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<p>CD4-αCD3 mediates the elimination of HIV-1-infected resting CD4+ T cells ex vivo. (<b>A</b>) CD4-αCD3 mediates the elimination of CD4+ T cells with HIV-1 reactivated by PMA/I. Five million T cells from the blood of cART-treated HIV-1-infected individuals were cultured in control or CD4-αCD3 medium supplemented with penicillin-streptomycin, L-glutamine, 0.1 nM IL-7, 1 μM tenofovir, 1 μM nevirapine, 1 μM emtricitabine and treated with solvent control or PMA/I for 18 h. The cells were washed three times with regular RPMI 1640 culture medium to remove PMA/I. Half of the T cells were cocultured with 2 million MOLT-4/CCR5 cells and irradiated PBMCs in an HIVE assay medium containing 2.5 μg/mL of PHA and 60 U/mL of IL-2 for a further 14 days. The culture medium was changed every 3 days. The final culture supernatants were used for measuring p24 levels using Simoa technology. (N = 4, <span class="html-italic">p</span> &lt; 0.01). (<b>B</b>) The combination of Exo-Tat and CD4-αCD3 eliminates latent HIV-1 reservoir ex vivo. The experimental procedure was the same as mentioned in <a href="#microorganisms-12-01707-f005" class="html-fig">Figure 5</a>A, except that the T cells were treated with Exo-C exosomes or Exo-Tat exosomes instead of solvent control or PMA/I for 4 days. On day 5, half of the T cells were cocultured with 2 million MOLT-4/CCR5 cells and irradiated PBMCs in an HIVE assay medium containing 2.5 μg/mL of PHA and 60 U/mL of IL-2 for a further 14 days. The final culture supernatants were used for measuring p24 levels using Simoa technology(N = 5, <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) LRAs PMA/I or Exo-Tat reactivate latent HIV-1. T cells treated with or without PMA/I or Exo-Tat were used to detect intracellular HIV-1 mRNA level using RT-qPCR on theViiA 7Real-Time PCR System.</p>
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<p>AAV delivered protein expression in vitro. Molt-4/CCR5 cells were infected with AAV-Eliminator at MOI = 1 × 10<sup>4</sup>. Three days post inoculation, cells and supernatant were separated by centrifugation. The cell pellet was used to prepare cell lysate using IP lysis buffer. Twenty μL of cell lysate were used for Western blot to determine the expression levels of HA-tagged proteins. The supernatant was used to purify exosomes. Twenty μL of exosomes were used for checking the expression levels of HA-tagged proteins by Western blot. The exosome-free supernatant was used to measure CD4-αCD3 expression level by immunoprecipitation-Western blot method. (<b>A</b>) Exo-Tat, IL16lamp2b and CD4-αCD3 expressed in AAV-Eliminator-infected Molt-4 cells. (<b>B</b>) Exo-Tat and IL16lamp2b were detected in the exosomes purified from the supernatant of AAV-Eliminator-infected Molt-4 cells. (<b>C</b>) CD4-αCD3 was detected in the exosome-free.</p>
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<p>AAV delivered protein expression in vivo. AAV-DJ-GFP viruses (control) or AAV-Eliminator viruses (Eliminator) were injected intravenously into Balb/cJ mice via tail veins (1 × 10<sup>12</sup> GC/mouse in 100 μL PBS). Thirty-one days post injection, the mice were euthanized with overdose isoflurane and various tissues were taken out for Western blot, immunohistochemistry (IHC) or H&amp;E staining. (<b>A</b>) Western blot showing HA-tagged proteins expressed in various tissues. (<b>B</b>) IHC staining showing HA-tagged proteins express in various tissues (Brown color). (<b>C</b>) H&amp;E staining showing AAV delivered target proteins do not change the structures of the tissues.</p>
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<p>AAV-Eliminator reduces latent HIV-1 reservoir in T cells isolated from HIV-1-infected, cART-treated patients. One million Huh-7 cells were infected with control AAV-GFP (Control) or AAV-Eliminator (Eliminator) at MOI = 2 × 10<sup>4</sup>. Two days post infection, the cells were washed with PBS and cocultured with 4 million T cells isolated from HIV-1-infected patient PBMCs in RPMI 1640 medium supplemented with penicillin-streptomycin, L-glutamine, 0.1 nM IL-7, 1 μM tenofovir, 1 μM nevirapine, 1 μM emtricitabine. Four days later, T cells were collected and used for total DNA preparation. Three μL out of 120 μL DNA were used for each ddPCR reaction. Three replicates of ddPCR reactions were performed for each patient sample. (<b>A</b>) AAV-Eliminator reduces latent HIV-1 reservoir in T cells isolated from patient #Lu210. (<b>B</b>) AAV-Eliminator reduces latent HIV-1 reservoir in T cells isolated from patient #Lu107. (<b>C</b>) AAV-Eliminator reduces latent HIV-1 reservoir in T cells isolated from patient #Lu223.</p>
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17 pages, 2700 KiB  
Article
Estimating Total Methane Emissions from the Denver-Julesburg Basin Using Bottom-Up Approaches
by Stuart N. Riddick, Mercy Mbua, Abhinav Anand, Elijah Kiplimo, Arthur Santos, Aashish Upreti and Daniel J. Zimmerle
Gases 2024, 4(3), 236-252; https://doi.org/10.3390/gases4030014 - 5 Aug 2024
Viewed by 623
Abstract
Methane is a powerful greenhouse gas with a 25 times higher 100-year warming potential than carbon dioxide and is a target for mitigation to achieve climate goals. To control and curb methane emissions, estimates are required from the sources and sectors which are [...] Read more.
Methane is a powerful greenhouse gas with a 25 times higher 100-year warming potential than carbon dioxide and is a target for mitigation to achieve climate goals. To control and curb methane emissions, estimates are required from the sources and sectors which are typically generated using bottom-up methods. However, recent studies have shown that national and international bottom-up approaches can significantly underestimate emissions. In this study, we present three bottom-up approaches used to estimate methane emissions from all emission sectors in the Denver-Julesburg basin, CO, USA. Our data show emissions generated from all three methods are lower than historic measurements. A Tier 1/2 approach using IPCC emission factors estimated 2022 methane emissions of 358 Gg (0.8% of produced methane lost by the energy sector), while a Tier 3 EPA-based approach estimated emissions of 269 Gg (0.2%). Using emission factors informed by contemporary and region-specific measurement studies, emissions of 212 Gg (0.2%) were calculated. The largest difference in emissions estimates were a result of using the Mechanistic Air Emissions Simulator (MAES) for the production and transport of oil and gas in the DJ basin. The MAES accounts for changes to regulatory practice in the DJ basin, which include comprehensive requirements for compressors, pneumatics, equipment leaks, and fugitive emissions, which were implemented to reduce emissions starting in 2014. The measurement revealed that normalized gas loss is predicted to have been reduced by a factor of 20 when compared to 10-year-old normalization loss measurements and a factor of 10 less than a nearby oil and production area (Delaware basin, TX); however, we suggest that more measurements should be made to ensure that the long-tail emission distribution has been captured by the modeling. This study suggests that regulations implemented by the Colorado Department of Public Health and Environment could have reduced emissions by a factor of 20, but contemporary regional measurements should be made to ensure these bottom-up calculations are realistic. Full article
(This article belongs to the Section Gas Emissions)
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<p>Methane sources across the Denver-Julesburg basin, Colorado, USA.</p>
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<p>Change in production (white circles) and methane loss normalized against production (black circles) in the DJ basin between 2012 and 2022 [<a href="#B19-gases-04-00014" class="html-bibr">19</a>,<a href="#B26-gases-04-00014" class="html-bibr">26</a>,<a href="#B27-gases-04-00014" class="html-bibr">27</a>].</p>
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16 pages, 801 KiB  
Article
Interactions between Stress Levels and Hormonal Responses Related to Sports Performance in Pro Women’s Basketball Team
by Álvaro Miguel-Ortega, Julio Calleja-González and Juan Mielgo-Ayuso
J. Funct. Morphol. Kinesiol. 2024, 9(3), 133; https://doi.org/10.3390/jfmk9030133 - 31 Jul 2024
Viewed by 618
Abstract
The testosterone to cortisol ratio (T:C ratio) is a measure of whether elite athletes are recovering from their training. This study described this hormone balance stress in elite women’s basketball. (1) Objectives: to analyse the fluctuation of T:C ratio over a 16-week period [...] Read more.
The testosterone to cortisol ratio (T:C ratio) is a measure of whether elite athletes are recovering from their training. This study described this hormone balance stress in elite women’s basketball. (1) Objectives: to analyse the fluctuation of T:C ratio over a 16-week period and explore itis relation to their athletic performance. The participants characteristics were: (height: 177.6 ± 6.4 cm; body mass: 77.808 ± 12.396 kg age: 26.0 ± 5.9 years; and a playing experience of 14.7 ± 2.9 years with 5.0 ± 1.2 years at the elite level. The T:C ratio at Time 1 is: 4.0 ± 2.4 (n = 12); and at Time 2 is: 5.1 ± 4.3 (n = 12). (2) Methods: during 16 weeks of competition, participants underwent analysis of blood samples to assess various biochemical parameters including hormone levels. In addition, their athletic performance was assessed with the following tests: jumping (SJ, CMJ, ABK, DJ); throwing test with a medicine ball (3 kg); Illinois COD agility test; sprint repeatability with change of direction; 20-m speed test without change of direction; and Yo-yo intermittent endurance test IET (II). (3) Results: The main alterations observed were an increase in T levels (1.687%) and a decrease in C levels (−7.634%) between moments, with an improvement (26.366%) in the T:C ratio. Improvements were also observed in some of the tests developed, such as jumping (SJ: 11.5%, p = 0.029; CMJ: 10.5%, p = 0.03; DJ: 13.0%, p = 0.01), upper body strength (MBT: 5.4%, p = 0.03), translation ability (20 m: −1.7%), repeated sprint ability (RSA: −2.2%), as well as intermittent endurance test (Yy (IET): 63.5%, p = 0.01), with significant changes in some of the performance tests. (4) Conclusions: T:C ratio may differ in a manner unrelated to training volume, showing some variation. These results may be attributed to the accumulation of psychophysiological stress during the season. Full article
(This article belongs to the Special Issue Health and Performance through Sports at All Ages 3.0)
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<p>Order of testing (5 min pause between attempts).</p>
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<p>Significant correlation between DJ (cm) and C (μg/dL) levels in T1. The dotted line is the trend line in the relationship between jumping ability and blood Cortisol levels and each of the blue marks represents each of the participants.</p>
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18 pages, 859 KiB  
Article
Inclusion Effect of Various Levels of Jack Mackerel Meal in Olive Flounder (Paralichthys olivaceus) Diets Substituting 50% Fish Meal with Duck By-Product Meal on Growth and Feed Utilization
by Md Rabiul Islam, Sung Hwoan Cho and Taeho Kim
Animals 2024, 14(15), 2184; https://doi.org/10.3390/ani14152184 - 26 Jul 2024
Viewed by 580
Abstract
This experiment was performed to evaluate the inclusion impact of various levels of jack mackerel meal (JMM) in olive flounder (P. olivaceus) feeds substituting 50% FM by duck by-product meal (DBM) on growth, feed availability, and economic efficiency. Seven experimental diets [...] Read more.
This experiment was performed to evaluate the inclusion impact of various levels of jack mackerel meal (JMM) in olive flounder (P. olivaceus) feeds substituting 50% FM by duck by-product meal (DBM) on growth, feed availability, and economic efficiency. Seven experimental diets were prepared. The control (Con) diet contained 60% FM. Fifty percent FM in the Con diet was substituted with DBM, and then the graded levels (0%, 10%, 20%, 30%, 40%, and 50%) of JMM were added instead of FM, named the DJ0, DJ10, DJ20, DJ30, DJ40, and DJ50 diets, respectively. All feeds were assigned to triplicate fish groups. At the end of 56 days’ feeding, fish fed the DJ40 and DJ50 diets exhibited comparable weight gain and specific growth rate to fish fed the Con diet. Higher feed consumption was observed in fish fed the Con, DJ40, and DJ50 diets compared to fish fed the DJ0 and DJ10 diets. Lower feed conversion ratio was observed in fish fed the Con diet compared to fish fed the DJ0, DJ10, DJ20, and DJ30 diets. Furthermore, the DJ50 diet led to the highest economic profit index (EPI). In conclusion, inclusion of 50% JMM in the olive flounder diet replacing 50% FM with DBM seems to be the most recommendable dietary treatment based on growth and feed consumption of olive flounder and EPI. Full article
(This article belongs to the Section Animal Nutrition)
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<p>Weight gain (g/fish) of olive flounder (<span class="html-italic">Paralichthys olivaceus</span>) fed the experimental diets for 56 days (mean of triplicate ± SE) (<span class="html-italic">p</span> &lt; 0.001). Con: 60% FM; DJ0–DJ50: 50% DBM with 0% to 50% JMM. (Orthogonal polynomial contrast (linear; <span class="html-italic">p</span> = 0.001, quadratic; <span class="html-italic">p</span> = 0.080, cubic; <span class="html-italic">p</span> = 0.156); Y = 1.166689X + 48.4182, <span class="html-italic">p</span> &lt; 0.001, R<sup>2</sup> = 0.8524).</p>
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<p>Specific growth rate (SGR, %/day) of olive flounder (<span class="html-italic">Paralichthys olivaceus</span>) fed the experimental diets for 56 days (mean of triplicate ± SE) (<span class="html-italic">p</span> &lt; 0.001). Con: 60% FM; DJ0–DJ50: 50% DBM with 0% to 50% JMM. (Orthogonal polynomial contrast (linear; <span class="html-italic">p</span> = 0.001, quadratic; <span class="html-italic">p</span> = 0.177, cubic; <span class="html-italic">p</span> = 0.334); Y = 0.027709X + 2.1858, <span class="html-italic">p</span> &lt; 0.001, R<sup>2</sup> = 0.8237).</p>
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<p>Feed consumption (g/fish) of olive flounder (<span class="html-italic">Paralichthys olivaceus</span>) fed the experimental diets for 56 days (mean of triplicate ± SE) (<span class="html-italic">p</span> &lt; 0.001). Con: 60% FM; DJ0–DJ50: 50% DBM with 0% to 50% JMM. (Orthogonal polynomial contrast (linear; <span class="html-italic">p</span> = 0.001, quadratic; <span class="html-italic">p</span> = 0.638, cubic; <span class="html-italic">p</span> = 0.195); Y = 0.929921X + 49.2673, <span class="html-italic">p</span> &lt; 0.001, R<sup>2</sup> = 0.7368).</p>
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22 pages, 6028 KiB  
Article
Effects of Premortem Stress on Protein Expression, Steak Color, Oxidation, and Myofibrillar Fragmentation Index in the Longissimus Lumborum
by Reganne K. Briggs, Jerrad F. Legako, Paul R. Broadway, Jeff A. Carroll, Nicole C. Burdick Sanchez, Nikole E. Ineck, Zachary K. Smith, Ranjith Ramanathan and Kara J. Thornton
Animals 2024, 14(15), 2170; https://doi.org/10.3390/ani14152170 - 25 Jul 2024
Viewed by 602
Abstract
Forty castrated Holstein calves underwent an adrenocorticotropic hormone (ACTH) challenge to assess the effects of premortem stress on the longissimus lumborum (LL) following harvest. LL biopsies were collected before the challenge, at different harvest times (2, 12, 24, and 48 h; n = [...] Read more.
Forty castrated Holstein calves underwent an adrenocorticotropic hormone (ACTH) challenge to assess the effects of premortem stress on the longissimus lumborum (LL) following harvest. LL biopsies were collected before the challenge, at different harvest times (2, 12, 24, and 48 h; n = 10), and after 14 d aging. The expression of small heat shock proteins (SHSPs), deglycase 1 (DJ-1), and troponin were analyzed. Blood was analyzed throughout the ACTH challenge and at harvest for cortisol, oxidative stress, and complete blood count (CBC). Color and myofibrillar fragmentation index (MFI) were measured in aged samples. Unexpectedly, calves from different harvest times differed (p = 0.05) in cortisol response. Calves were divided into two different cortisol response groups (high or low; n = 20). Statistical analysis assessed the effects of cortisol response (n = 20), harvest time (n = 10), and their interaction. Harvest time altered SHSPs (p = 0.03), DJ-1 (p = 0.002), and troponin (p = 0.02) expression. Harvest time and cortisol response impacted steak color (p < 0.05), and harvest time altered steak pH (p < 0.0001). Additionally, various CBCs were changed (p < 0.05) by harvest time. Harvest time changed (p = 0.02) MFI. These data demonstrate that the protein expression, color, and MFI of the LL may be influenced by premortem stress. Full article
(This article belongs to the Special Issue Carcass Traits and Meat Quality in Cattle)
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<p>Timeline of sample collection during the adrenocorticotropic hormone (ACTH) challenge. CBC = complete blood count, BEG = beginning of ACTH challenge, END = end of ACTH challenge.</p>
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<p>Representative Western blot images from the castrated Holstein calves. The representative proteins are heat shock protein β-1 (HSPβ-1), phosphorylated heat shock protein β-1 (PHSP-β1), protein deglycase (DJ-1), and troponin at harvest and after 14 d of aging. Samples were randomized by treatment groups and harvest time across each blot. Each blot is a representation of each target protein that was analyzed.</p>
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<p>Different quartile groupings of castrated Holstein calves (103.5 kg ± 1.6) based on the delta area under the curve (AUC) cortisol. This was measured by finding the difference between the AUC of cortisol −2 to 0 h before initiation of the adrenocorticotropic hormone (ACTH) challenge (0.1 IU/kg of body weight) to initiate a stress response and the AUC of cortisol 0 to 2 h after ACTH was given. Castrated calves were grouped as having a low or high delta AUC cortisol (<span class="html-italic">n</span> = 20). Differently shaped data points represent different harvest times following ACTH challenge. Individual data points represent the delta AUC cortisol response of each individual castrated calf within each group. Shaded boxes represent the delta AUC cortisol. Error bars represent the minimum and maximum data point in each cortisol response group.</p>
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<p>(<b>A</b>): Cortisol concentration in serum of castrated Holstein calves (103.5 ± 1.6 kg) relative to the beginning of the adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight. Treatment groups consisted of four groups of calves that were harvested at different time points (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10) following the ACTH challenge. Values represent the least squares means ± SEM of cortisol concentration in serum collected relative to the ACTH challenge for harvest times. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times at that specific time point. (<b>B</b>): Differences in the delta area under the curve (ΔAUC) of cortisol calculated as the AUC from 0 to 2 h of the challenge–AUC from −2 to 0 h of the challenge between animals harvested at different time points. Bars with different letters indicate a difference (<span class="html-italic">p</span> &lt; 0.05) among the different harvest times.</p>
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<p>Rectal temperature of castrated Holstein calves (103.5 ± 1.6 kg) relative to the beginning of the ACTH challenge given at a dose of 0.1 IU/kg of body weight. (<b>A</b>): Treatment groups consisted of four groups of calves that were harvested at different time points (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10) following the ACTH challenge. (<b>B</b>): Calves were grouped based on cortisol response relative to ACTH challenge and were split into two different groups (low or high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, time, harvest time × time, and harvest time × cortisol response. Values represent the least squares mean ± SEM for (<b>A</b>) harvest times or (<b>B</b>) cortisol responses.</p>
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<p>Concentration of blood components of castrated Holstein calves (103.5 ± 1.6 kg) ((<b>A</b>): red blood cells; (<b>B</b>): hemoglobin; (<b>C</b>): hematocrit; (<b>D</b>): platelets) measured every 2 h relative to adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight between calves grouped into harvest time (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). Repeated measures analyses were completed to determine the effects of harvest time, time, and harvest time × time. Values represent the least squares mean ± SEM for the respected blood component. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times at each time point.</p>
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<p>Concentration of blood components of castrated Holstein calves (103.5 ± 1.6 kg) ((<b>A</b>): white blood cells, (<b>B</b>): neutrophils, (<b>C</b>): monocytes, (<b>D</b>): eosinophils, (<b>E</b>): lymphocytes, (<b>F</b>): basophils) measured every 2 h relative to adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight between calves grouped into harvest time (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). Repeated measures analyses were completed to determine the effects of harvest time (treatment), time, and treatment × time. Values represent the least squares mean ± SEM for the respected blood component. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times at each time point.</p>
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<p>Neutrophil and lymphocyte ratio (neut:lymph) of castrated Holstein calves (103.5 ± 1.6 kg) relative to the beginning of the adrenocorticotropic hormone (ACTH) challenge. (<b>A</b>): Calves were grouped based on time of harvest following ACTH challenge given at a dose of 0.1 IU/kg of body weight (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). (<b>B</b>): Calves were grouped based on cortisol response relative to the ACTH challenge and were split into two different groups (low and high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, time, harvest time x time, cortisol response x time, and harvest time × cortisol response. Values represent the least squares mean ± SEM of neut:lymph.</p>
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<p>a* (redness) color measurement from the <span class="html-italic">longissimus lumborum</span> of castrated Holstein calves (103.5 ± 1.6 kg) after 14 d of aging. (<b>A</b>): Calves were grouped based on time of harvest following adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). (<b>B</b>): Calves were grouped based on cortisol response relative to the ACTH challenge and were split into two different groups (low and high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, retail day, harvest time × retail day, harvest time × cortisol response, and harvest time × retail day × cortisol response. Values represent the least squares mean ± SEM of a* measurements. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times or cortisol responses at each time point.</p>
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<p>b* (yellowness) color measurement from the <span class="html-italic">longissimus lumborum</span> of castrated Holstein calves (103.5 ± 1.6 kg) after 14 d of aging. (<b>A</b>): Calves were grouped based on time of harvest following adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). (<b>B</b>): Calves were grouped based on cortisol response relative to the ACTH challenge and were split into two different groups (low and high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, retail day, harvest time × retail day, harvest time × cortisol response, and harvest × retail day × cortisol response. Values represent the least squares mean ± SEM of b* measurements. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times or cortisol responses at each time point.</p>
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<p>L* (lightness) color measurement from the <span class="html-italic">longissimus lumborum</span> of castrated Holstein calves (103.5 ± 1.6 kg) after 14 d of aging. (<b>A</b>): Calves were grouped based on time of harvest following adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). (<b>B</b>): Calves were grouped based on cortisol response relative to the ACTH challenge and were split into two different groups (low and high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, retail day, harvest time × retail day, harvest time × cortisol response, and harvest × retail day × cortisol response. Values represent the least squares mean ± SEM of L* measurements. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times or cortisol responses at each time point.</p>
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<p>Steak pH measurement from the <span class="html-italic">longissimus lumborum</span> of castrated Holstein calves (103.5 ± 1.6 kg) after 14 d of aging. (<b>A</b>): Calves were grouped based on time of harvest following adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10). (<b>B</b>): Calves were grouped based on cortisol response relative to the ACTH challenge and were split into two different groups (low and high; <span class="html-italic">n</span> = 20). Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, retail day, harvest time × retail day, harvest time × cortisol response, and harvest × retail day × cortisol response. Values represent the least squares mean ± SEM of steak pH measurements. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) among harvest times or cortisol responses at each time point.</p>
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<p>Concentration of TBARSs in serum of castrated Holstein calves (103.5 ± 1.6 kg) collected every 2 h relative to adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight. Panel (<b>A</b>) describes TBARSs concentration in serum relative to the ACTH challenge in calves that were harvested at different time points (2 h,12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10) following the ACTH challenge. Panel (<b>B</b>) describes TBARSs concentration in serum relative to the ACTH challenge in calves that had different cortisol responses (low and high; <span class="html-italic">n</span> = 20) relative to the ACTH challenge. Repeated measures analyses were completed to determine the effects of harvest time, cortisol response, time, harvest × time, time x cortisol response, harvest time × cortisol response, and harvest time × time × cortisol response. Values represent the least squares mean ± SEM of TBARSs concentration in the serum. Points with different letters differ (<span class="html-italic">p</span> &lt; 0.05) within harvest time or cortisol response at each time point.</p>
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<p>Myofibrillar fragmentation index (MFI) of 14 d aged muscle tissue collected from the <span class="html-italic">longissimus lumborum</span> of castrated Holstein calves (103.5 ± 1.6 kg). Panel (<b>A</b>) describes the MFI of samples collected from calves that were harvested at different time points (2 h, 12 h, 24 h, and 48 h; <span class="html-italic">n</span> = 10) following adrenocorticotropic hormone (ACTH) challenge given at a dose of 0.1 IU/kg of body weight. Panel (<b>B</b>) describes the MFI of samples collected from calves that had different cortisol responses (low and high; <span class="html-italic">n</span> = 20) after the initiation of the ACTH challenge. Values represent the least squares mean ± SEM of MFI for 14 d aged muscle tissue. The <span class="html-italic">p</span>-value above each time point represents the effect of harvest time (<b>A</b>) or cortisol response (<b>B</b>). Bars with different letters are different (<span class="html-italic">p</span> &lt; 0.05) from one another.</p>
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26 pages, 2025 KiB  
Article
Phytochemical, Antimicrobial, and Antioxidant Activity of Different Extracts from Frozen, Freeze-Dried, and Oven-Dried Jostaberries Grown in Moldova
by Viorica Bulgaru, Angela Gurev, Alexei Baerle, Veronica Dragancea, Greta Balan, Daniela Cojocari, Rodica Sturza, Maria-Loredana Soran and Aliona Ghendov-Mosanu
Antioxidants 2024, 13(8), 890; https://doi.org/10.3390/antiox13080890 - 23 Jul 2024
Viewed by 624
Abstract
In this paper, the qualitative and quantitative profile is evaluated of the bioactive compounds, antioxidant activity (AA), microbiostatic properties, as well as the color parameters of jostaberry extracts, obtained from frozen (FJ), freeze-dried (FDJ), and oven-dried berries (DJ). The optimal extraction conditions by [...] Read more.
In this paper, the qualitative and quantitative profile is evaluated of the bioactive compounds, antioxidant activity (AA), microbiostatic properties, as well as the color parameters of jostaberry extracts, obtained from frozen (FJ), freeze-dried (FDJ), and oven-dried berries (DJ). The optimal extraction conditions by ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) were selected after determination of the total polyphenol content (TPC), total flavonoid content (TFC), total antocyanin content (TA), AA by 2,2-diphenyl-1-picrylhydrazyl-hydrate (DPPH), and the free radical cation 2,2-azinobis-3-ethylbenzothiazoline-6-sulfonates (ABTS). Non-conventional extraction methods are less destructive to anthocyanins, while drying the berries reduced TA, regardless of the extraction method. The oven-drying process reduced the concentration of TA in DJ extracts by 99.4% and of ascorbic acid by 92.42% compared to FJ. AA was influenced by the jostaberry pretreatment methods. The DPPH and ABTS tests recorded values (mg Trolox equivalent/g dry weight) between 17.60 and 35.26 and 35.64 and 109.17 for FJ extracts, between 7.50 and 7.96 and 45.73 and 82.22 for FDJ, as well as between 6.31 and 7.40 and 34.04 and 52.20 for DJ, respectively. The jostaberry pretreatment produced significant changes in all color parameters. Mutual information analysis, applied to determine the influence of ultrasound and microwave durations on TPC, TFC, TA, AA, pH, and color parameters in jostaberry extracts, showed the greatest influence on TA (0.367 bits) and TFC (0.329 bits). The DPPH and ABTS inhibition capacity of all FJ’ extracts had higher values and varied more strongly, depending on pH, heat treatment, and storage time, compared to the AA values of FDJ’ and DJ’ extracts. A significant antimicrobial effect was observed on all bacterial strains studied for FJP. FDJP was more active on Bacillus cereus, Staphylococcus aureus, and Escherichia coli. DJP was more active on Salmonella Abony and Pseudomonas aeruginosa. The antifungal effect of DJP was stronger compared to FDJP. Jostaberry extracts obtained under different conditions can be used in food production, offering a wide spectrum of red hues. Full article
(This article belongs to the Special Issue Plant Materials and Their Antioxidant Potential, 2nd Edition)
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<p>TPC, TFC, TA, and AA in UAE and MAE extracts of FJ, FDJ and DJ (60% EtOH (<span class="html-italic">v</span>/<span class="html-italic">v</span>), sample/solvent ratio 1:100 (<span class="html-italic">m</span>/<span class="html-italic">v</span>)). (<b>a</b>,<b>b</b>) TPC (mg GAE/g DW) in UAE and MAE extracts of FJ, FDJ and DJ; (<b>c</b>,<b>d</b>) TFC (mg RuE/g DW) in UAE and MAE extracts of FJ, FDJ and DJ; (<b>e</b>,<b>f</b>) TA (mg Cy3GE/g DW) in UAE and MAE extracts of FJ, FDJ and DJ; (<b>g</b>,<b>h</b>) AA by ABTS assay in UAE and MAE extracts of FJ, FDJ and DJ. FJ—frozen jostaberry; FDJ—freeze-dried jostaberry; DJ—oven-dried jostaberry; TPC—total polyphenol content; GAE—gallic acid equivalent; DW—dry weight; TFC—total flavonoid content; RuE—rutin equivalent; TA—total anthocyanin; Cy3GE—cyanidin-3-glucoside equivalent; AA—antioxidant activity; TE—Trolox equivalent. The results are presented as the mean of three measurements ± standard deviation (SD). Different letters (<sup>a–m</sup>) designate statistically different results (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>The AA by DPPH (<b>a</b>) and ABTS (<b>b</b>) in jostaberry UAE and MAE extracts obtained under optimal conditions (60% EtOH (<span class="html-italic">v</span>/<span class="html-italic">v</span>), sample/solvent ratio 1:20 (<span class="html-italic">m</span>/<span class="html-italic">v</span>)) depending on extracts pH. FJ′—frozen jostaberry; FDJ′—freeze-dried jostaberry; DJ′—oven-dried jostaberry, obtained in optimal conditions. UAE-20—jostaberry extract obtained by ultrasound-assisted extraction 20 min; MAE 100-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 100 W, 6 min; MAE 180-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 180 W, 6 min; MAE 300-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 300 W, 6 min. The results are presented as the mean of three measurements ± standard deviation (SD). Different letters (<sup>a–l</sup>) designate statistically different results (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>The AA by DPPH (<b>a</b>) and ABTS (<b>b</b>) in jostaberry UAE and MAE extracts obtained under optimal conditions (60% EtOH (<span class="html-italic">v</span>/<span class="html-italic">v</span>), sample/solvent ratio 1:20 (<span class="html-italic">m</span>/<span class="html-italic">v</span>)) depending on extracts pH. FJ′—frozen jostaberry; FDJ′—freeze-dried jostaberry; DJ′—oven-dried jostaberry, obtained in optimal conditions. UAE-20—jostaberry extract obtained by ultrasound-assisted extraction 20 min; MAE 100-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 100 W, 6 min; MAE 180-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 180 W, 6 min; MAE 300-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 300 W, 6 min. The results are presented as the mean of three measurements ± standard deviation (SD). Different letters (<sup>a–l</sup>) designate statistically different results (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>AA by DPPH (<b>a</b>) and ABTS (<b>b</b>) in UAE and MAE jostaberry extracts obtained under optimal conditions (60% EtOH (<span class="html-italic">v</span>/<span class="html-italic">v</span>), sample/solvent ratio 1:20 (<span class="html-italic">m</span>/<span class="html-italic">v</span>)) depending on the storage conditions of the extracts. FJ′—frozen jostaberry; FDJ′—freeze-dried jostaberry; DJ′—oven dried jostaberry, obtained in optimal conditions. UAE-20—jostaberry extract obtained by ultrasound-assisted extraction 20 min; MAE 100-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 100 W, 6 min; MAE 180-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 180 W, 6 min; MAE 300-6—jostaberry extract obtained by microwave-assisted extraction, magnetron power 300 W, 6 min. The results are presented as the mean of three measurements ± standard deviation (SD). Different letters (<sup>a–g</sup>) designate statistically different results (<span class="html-italic">p</span> ≤ 0.05).</p>
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10 pages, 668 KiB  
Article
The Association between Body Composition and the Parameters of Muscle Fitness in Selected Young Judokas
by Nikola Milošević, Dušan Stupar, Nemanja Stanković, Saša Pantelić, Nikola Stojanović, Stevan Stamenković, Nebojša Trajković and Igor Potparić
Appl. Sci. 2024, 14(14), 6327; https://doi.org/10.3390/app14146327 - 20 Jul 2024
Viewed by 497
Abstract
This study aimed to determine the influence of body composition on the muscle fitness of selected judokas. This study was conducted on a sample of 23 judokas (cadets n = 12, juniors n = 11), members of the male national team of Serbia. [...] Read more.
This study aimed to determine the influence of body composition on the muscle fitness of selected judokas. This study was conducted on a sample of 23 judokas (cadets n = 12, juniors n = 11), members of the male national team of Serbia. The assessment of body composition was performed using the InBody 720 (Biospace Co., Ltd., Seoul, Republic of Korea) and calipers. Muscle fitness was assessed using “Optojump” (Microgate, Bolzano, Italy), Fitrodine Premium (Fitronic, Bratislava, Slovakia), and a digital force instrument IMADA Z2H-1100 (Imada Inc., Northbrook, IL, USA). Regression analysis revealed a notable association between muscle mass and measures of explosive strength (countermovement jump (CMJ) p = 0.023; drop jump (DJ) p = 0.026). Moreover, this study’s results showed that back extension (p = 0.006; R2 = 0.61) and hand grip (p = 0.009; R2 = 0.52) provide a strong positive association with muscle mass. The findings suggest that tailored training and nutritional strategies that improve muscle mass might significantly enhance muscle fitness in young judokas, optimizing their performance. Full article
(This article belongs to the Special Issue Athletes Performance and Analysis in Combat Sports and Martial Arts)
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<p>Relationship between muscle mass and various performance metrics. This figure shows the association between muscle mass and measures of explosive strength (panels (<b>A</b>–<b>D</b>)), isometric strength (panels (<b>E</b>–<b>G</b>)), and local muscular endurance (panels (<b>H</b>–<b>J</b>)). Each panel presents the observed data points and the fitted regression line with muscle mass as the predictor. The output statistics in each panel include R<sup>2</sup> (coefficient of determination), F (F-statistic), <span class="html-italic">p</span> (<span class="html-italic">p</span>-value), β (beta coefficient), and t (t-value).</p>
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12 pages, 2457 KiB  
Article
2D Ruddlesden–Popper Perovskites with Polymer Additive as Stable and Transparent Optoelectronic Materials for Building-Integrated Applications
by Adianne Alamban, Muneeza Ahmad and Nicholas Rolston
Nanomaterials 2024, 14(14), 1184; https://doi.org/10.3390/nano14141184 - 11 Jul 2024
Viewed by 842
Abstract
We report on the use of 2D Ruddlesden–Popper (RP) perovskites as optoelectronic materials in building-integrated applications, addressing the challenge of balancing transparency, photoluminescence, and stability. With the addition of polyvinylpyrrolidone (PVP), the 2D RP films exhibit superior transparency compared to their 3D counterparts [...] Read more.
We report on the use of 2D Ruddlesden–Popper (RP) perovskites as optoelectronic materials in building-integrated applications, addressing the challenge of balancing transparency, photoluminescence, and stability. With the addition of polyvinylpyrrolidone (PVP), the 2D RP films exhibit superior transparency compared to their 3D counterparts with an average visible transmittance (AVT) greater than 50% and photoluminescence stability under continuous illumination and 85 °C heat for up to 100 h as bare, unencapsulated films. Structural investigations show a stress relaxation in the 3D perovskite films after degradation from thermal aging that is not observed in the 2D RP films, which retain their phase after thermal and light aging. We also demonstrate ultrasmooth, wide-bandgap 2D Dion–Jacobson (DJ) films with PVP incorporation up to 2.95 eV, an AVT above 70%, and roughnesses of ~2 nm. These findings contribute to the development of next-generation solar materials, paving the way for their integration into built structures. Full article
(This article belongs to the Section Solar Energy and Solar Cells)
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<p>Schematic of the structure of 3D perovskites, n = 1 Dion-Jacobson (DJ) and n = 1 Ruddlesden-Popper (RP) perovskites, and the polymer additive polyvinylpyrrolidone (PVP), respectively. The gray dashed lines in the DJ schematic represent hydrogen bonding between slabs of lead iodide octahedra. The blue and red dots in the PVP schematic denote nitrogen and oxygen heteroatoms, respectively.</p>
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<p>Transparency, Efficiency, and STability (TEST) Criteria. Suitability of BIPV absorber materials was gauged via these three characteristics.</p>
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<p>Morphology, Thickness, and Roughness. (<b>a</b>–<b>e</b>) Optical microscope images of 3D, RP, RP–PVP, DJ, and DJ–PVP films, respectively. Inset are camera images of the 1″ × 1″ samples. (<b>f</b>) Table of thickness and roughness values for each sample.</p>
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<p>Optoelectronic and Structural Properties. (<b>a</b>) UV–Vis transmittance spectra of all five samples, including glass, were collected with air as the baseline. (<b>b</b>) Steady-state PL curves. (<b>c</b>) XRD spectra of 3D, RP, RP–PVP, and DJ samples. The DJ–PVP spectrum was not included due to issues in crystallization.</p>
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<p>Light and Heat Aging Studies. (<b>a</b>–<b>c</b>) Steady-state PL spectra of 3D, RP, and RP–PVP films subject to 1 sun illumination for 96 h, collected in 24-h intervals. (<b>d</b>–<b>f</b>) Steady-state PL spectra of films subject to 85 °C accelerated thermal aging for 96 h, collected in 24-h intervals. (<b>g</b>–<b>i</b>) XRD spectra of films before and after the aging studies.</p>
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<p>The Metric. A visual representation of the candidate materials’ suitability for BIPV windows based on the TEST criteria. Maximum PL intensities vs. AVT for each sample are plotted both before and after aging with heat (85 °C) and demarcated accordingly.</p>
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15 pages, 2742 KiB  
Article
Knockdown of DJ-1 Resulted in a Coordinated Activation of the Innate Immune Antiviral Response in HEK293 Cell Line
by Keren Zohar and Michal Linial
Int. J. Mol. Sci. 2024, 25(14), 7550; https://doi.org/10.3390/ijms25147550 - 10 Jul 2024
Viewed by 799
Abstract
PARK7, also known as DJ-1, plays a critical role in protecting cells by functioning as a sensitive oxidation sensor and modulator of antioxidants. DJ-1 acts to maintain mitochondrial function and regulate transcription in response to different stressors. In this study, we showed that [...] Read more.
PARK7, also known as DJ-1, plays a critical role in protecting cells by functioning as a sensitive oxidation sensor and modulator of antioxidants. DJ-1 acts to maintain mitochondrial function and regulate transcription in response to different stressors. In this study, we showed that cell lines vary based on their antioxidation potential under basal conditions. The transcriptome of HEK293 cells was tested following knockdown (KD) of DJ-1 using siRNAs, which reduced the DJ-1 transcripts to only 12% of the original level. We compared the expression levels of 14k protein-coding transcripts and 4.2k non-coding RNAs relative to cells treated with non-specific siRNAs. Among the coding genes, approximately 200 upregulated differentially expressed genes (DEGs) signified a coordinated antiviral innate immune response. Most genes were associated with the regulation of type 1 interferons (IFN) and the induction of inflammatory cytokines. About a quarter of these genes were also induced in cells treated with non-specific siRNAs that were used as a negative control. Beyond the antiviral-like response, 114 genes were specific to the KD of DJ-1 with enrichment in RNA metabolism and mitochondrial functions. A smaller set of downregulated genes (58 genes) was associated with dysregulation in membrane structure, cell viability, and mitophagy. We propose that the KD DJ-1 perturbation diminishes the protective potency against oxidative stress. Thus, it renders the cells labile and responsive to the dsRNA signal by activating a large number of genes, many of which drive apoptosis, cell death, and inflammatory signatures. The KD of DJ-1 highlights its potency in regulating genes associated with antiviral responses, RNA metabolism, and mitochondrial functions, apparently through alteration in STAT activity and downstream signaling. Given that DJ-1 also acts as an oncogene in metastatic cancers, targeting DJ-1 could be a promising therapeutic strategy where manipulation of the DJ-1 level may reduce cancer cell viability and enhance the efficacy of cancer treatments. Full article
(This article belongs to the Special Issue Antiviral Agents and Antiviral Defense)
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<p>Cell lines characterization in view of DJ-1 and antioxidant activity: (<b>A</b>) PARK7 expression levels extracted from neuroblastoma and non-cancerous cell lines. Experimental data were normalized and harmonized to allow confidence in comparing different cells within and across groups (using nTPM). (<b>A</b>) The expression levels of the SH-SY5Y among neuroblastoma cell lines (17 cells, 423 nTPM). Red arrow marks the cell of interest. (<b>B</b>) PARK7 expression levels in HEK293 is 493.5 nTMP. Substantial difference is recorded in PARK7 expression levels among the 63 non-cancerous cell lines. Red arrow marks the cell of interest. Data were extracted from HPA (see <a href="#sec3-ijms-25-07550" class="html-sec">Section 3</a>). (<b>C</b>) Gene expression in cell cultures of SH-SY5Y (gray) and HEK293 (blue) cell lines for selected genes associated with antioxidant activity (76 genes, GO: 0016209). Full list is available in <a href="#app1-ijms-25-07550" class="html-app">Supplementary Table S1</a>.</p>
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<p>Knockdown of PARK7/DJ-1 using siRNA: (<b>A</b>) RT-PCR of the cells prior to treatment, following RULC and PARK-7 siRNA. PCR amplicons were separated by agarose gel separation. Each sample was compared to β-actin, a normalization control (196 nt). The siRNA was tested for 26 and 48 h following transfection. (<b>B</b>) PCA for 9 cell samples, based on the top 1000 differentially expressed genes (DEGs) colored by the three experimental groups: the non-treated cells (N.T.), negative control transfection with esiRNA-RULC (RULC), and cells transfected with esiRNA-PARK7 (DJ-1). Each sample is represented by a colored dot. The variance explained is indicated for PC1 and PC2. The explained variance of PC1 and PC2 reached 41.6%. (<b>C</b>) The results from B for the level of expression of DJ-I are shown. Each sample was normalized by TMM methods for 1 M reads accounted for 18,158 transcripts.</p>
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<p>Quantitative summary of the differentially expressed transcripts of DJ-1 siRNA relative to control.. Partition of the significant differentially expressed genes (DEGs) that meet the threshold of FDR &lt; 0.05 and are marked as Up- and Downregulated (log<sub>2</sub>(FC) &gt; |0.5|) for the pairs of cellular settings. Each analysis shows the number of DEGs according to coding (blue) and noncoding RNAs (orange). Partition of the DEGs to those that are upregulated (Up, green) and downregulated (Down, gray) are shown for each of the subsets of protein-coding and non-coding sets. N.T., non-treated cells.</p>
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<p>Network of interferon signaling induced by non-specific siRNA: STRING view for 75 significantly upregulated DEGs (FDR &lt; 0.05 and log<sub>2</sub>(FC) &gt; 0.5) from analysis of siRNA RULC vs. non-treated (N.T.) cells. STRING PPI confidence is &gt;0.9 (top). Several significant Reactome pathways are enriched (bottom). The nodes in the graph of Interferon alpha/beta signaling (HAS 909733) are colored green. The other enriched pathways (bottom) are strongly connected to the immune system and antiviral IFN-induced mechanism (uncolored).</p>
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<p>Differentially expressed transcripts of DJ-1 siRNA relative to control: (<b>A</b>) A Venn diagram of the experiment groups. The number of overlapping genes is indicated for comparing KD of DJ-1 vs. siRNA of RULC and vs. non-treated cell. The mark of c-f-up indicates the use of filters by coding genes (c), FDR (&lt;0.05, f) and only upregulated DEGs (up). (<b>B</b>) MA plot is shown as the log<sub>2</sub>(FC) for each gene (<span class="html-italic">y</span>-axis) vs. its mean expression between the two groups as a log<sub>2</sub>(CPM) (counts per million reads; <span class="html-italic">x</span>-axis). DEGs included refers to KD of DJ-1 compared to siRNA-RULC. Blue and red points indicate genes that are downregulated and upregulated, respectively. (<b>C</b>) STRING view for 275 significantly upregulated DEGs (FDR &lt; 0.05 and log<sub>2</sub>(FC) &gt; 0.5) from analysis in which all 75 genes identified by the siRNA-RULC vs. non-treated (N.T.) cells were omitted. STRING PPI confidence is &gt;0.9 and the <span class="html-italic">p</span>-value for PPI enrichment is &lt;1.0 × 10<sup>−16</sup>. The light red color marks immune response genes (GO cellular process: immune system process). The network includes only DEGs that meet the thresholds of FDR &lt; 0.05 and log<sub>2</sub>(FC) of &gt;0.5, and are connected with ≥2 genes.</p>
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<p>DJ-1 dependent effects on DEGs: (<b>A</b>) STRING-based network for all genes that were significantly downregulated with threshold of FDR &lt; 0.05 and log<sub>2</sub>(FC) &lt; −0.5. STRING PPI confidence score &gt; 0.4. (<b>B</b>) STRING-based network for 129 genes that were significantly upregulated with threshold of FDR &lt; 0.05 and log<sub>2</sub>(FC) &gt; 0.5. In inset, a Venn diagram of KD of DJ-1 relative to N.T. cells (red), compared to siRNA-RULC relative to N.T. cells (blue). The analysis was performed on the unshared 19 and 110 genes. STRING PPI confidence score &gt; 0.7. Genes enriched by Reactome pathway HSA-1280215: cytokine signaling in immune system (<span class="html-italic">q</span>-value 0.0097) are colored purple.</p>
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15 pages, 1119 KiB  
Article
Body Composition and Physical Performance by Playing Position in Amateur Female Soccer Players
by Jordan Hernandez-Martinez, Joaquin Perez-Carcamo, Sebastian Canales-Canales, Bayron Coñapi-Union, Izham Cid-Calfucura, Tomás Herrera-Valenzuela, Braulio Henrique Magnani Branco and Pablo Valdés-Badilla
Appl. Sci. 2024, 14(13), 5665; https://doi.org/10.3390/app14135665 - 28 Jun 2024
Viewed by 700
Abstract
This study analyzed differences in body composition, jump performance, running speed, and ball-kicking speed according to playing position in amateur female soccer players. This cross-sectional study involved 160 females distributed into groups of goalkeepers (n = 20), defenders (n = 38), [...] Read more.
This study analyzed differences in body composition, jump performance, running speed, and ball-kicking speed according to playing position in amateur female soccer players. This cross-sectional study involved 160 females distributed into groups of goalkeepers (n = 20), defenders (n = 38), midfielders (n = 52), and forwards (n = 50), with a mean age of 27.1 ± 3.23 years. They were assessed for body fat percentage (BFP), fat-free mass (FFM), squat jump, countermovement jump, drop jump (DJ), and running sprint speed for 10 m, 20 m, and 30 m, and ball-kicking speed (BKS) with both feet. Significant differences were found between groups in FFM (F(3,96) = 17.4; p = 0.000) and BFP (F(3,96) = 7.00; p = 0.000), with a higher FFM in midfielders with respect to goalkeepers (p = 0.00; ES = 1.77; ∆ = 27%), defenders (p = 0.00; ES = 2.14; ∆ = 26.5%), and forwards (p = 0.00; ES = 1.13; ∆ = 15.8%), and a lower BFP in midfielders with respect to goalkeepers (p = 0.00; ES = 1.41; ∆ = 26.7%) and forwards (p = 0.00; ES = 1.05; ∆ = 27%). In addition, significant differences were found between groups in DJ (F(3,96) = 20.8; p = 0.000), with midfielders achieving greater height compared to goalkeepers (p = 0.00; ES = 1.94; ∆ = 25.1%), defenders (p = 0.00; ES = 1.59; ∆ = 19%), and forwards (p = 0.00; ES = 1.73; ∆ = 16.3%). Significant differences were found between groups in BKS for dominant (F(3,96) = 5.84; p = 0.001) and non-dominant (F(3,96) = 3.29; p = 0.02) feet, and these were lower in goalkeepers than defenders (p = 0.00; ES = 0.99; ∆ = 8.83%) and midfielders (p = 0.00; ES = 1.21; ∆ = 11.8%). In conclusion, midfielders presented significantly better body composition and physical performance than other playing positions. Full article
(This article belongs to the Special Issue Advances in Sports, Exercise and Health)
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<p>Procedure for measuring body composition and physical performance according to playing position in amateur female soccer players.</p>
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<p>Flowchart of the recruitment process.</p>
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<p>Comparison of body composition by playing position in female soccer players. Legends: * = <span class="html-italic">p</span> &lt; 0.05. ** = <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Comparison of physical performance by playing position in female soccer players. Note: CMJ = countermovement jump; SJ = squat jump; DJ =drop jump; m = meters; cm = centimeters; km/h = kilometers per hour; s = seconds; * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01.</p>
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1 pages, 129 KiB  
Correction
Correction: Ghansah, F.A.; Edwards, D.J. Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0. Buildings 2024, 14, 844
by Frank Ato Ghansah and David John Edwards
Buildings 2024, 14(6), 1749; https://doi.org/10.3390/buildings14061749 - 11 Jun 2024
Viewed by 356
Abstract
In the publication [...] Full article
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