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17 pages, 7640 KiB  
Article
Folic Acid Prevents High-Fat Diet-Induced Postpartum Weight Retention in Rats, Which Is Associated with a Reduction in Endoplasmic Reticulum Stress-Mediated Hepatic Lipogenesis
by Huaqi Zhang, Li Zhang, Xuenuo Zhao, Yanzhen Ma, Dan Sun, Yixian Bai, Weiheng Liu, Xi Liang and Hui Liang
Nutrients 2024, 16(24), 4377; https://doi.org/10.3390/nu16244377 (registering DOI) - 19 Dec 2024
Viewed by 22
Abstract
Background: Proactively preventing postpartum weight retention (PPWR) is one of the effective intervention strategies to reduce the occurrence of obesity in women. Population studies have shown that serum folate levels are closely related to body weight. The regulation of folic acid on lipid [...] Read more.
Background: Proactively preventing postpartum weight retention (PPWR) is one of the effective intervention strategies to reduce the occurrence of obesity in women. Population studies have shown that serum folate levels are closely related to body weight. The regulation of folic acid on lipid metabolism has been fully confirmed in both in vivo and in vitro studies. For many years, folic acid supplementation has been widely used in periconceptional women due to its role in preventing fetal neural tube defects. However, whether folic acid supplementation prior to and throughout pregnancy exerts preventive effects on PPWR remains uncertain. This study aims to investigate the preventive effect of folic acid on PPWR in rats and further explore the underlying mechanisms. Methods: In this study, pregnant rats were administered one of the dietary schedules: control diet (CON), high-fat diet (HF), control diet combined with folic acid (FA) and high-fat diet combined with folic acid (HF + FA). Results: We discovered that folic acid supplementation inhibited high-fat diet-induced elevations in body weight, visceral fat weight, liver weight, hepatic lipid levels and serum lipid levels at 1 week post-weaning (PW). Western blot analysis showed that folic acid supplementation inhibited the expression of endoplasmic reticulum (ER) stress-specific proteins including GRP78, PERK, eIF2α, IRE1α, XBP1 and ATF6, subsequently decreasing the expression of proteins related to lipid synthesis including SREBP-1c, ACC1 and FAS. Conclusions: In conclusion, folic acid supplementation prior to and throughout pregnancy exerts preventive effects on high-fat diet-induced PPWR in rats, and the mechanism is associated with the inhibition of ER stress-mediated lipogenesis signaling pathways in the liver. Folic acid supplementation may serve as a potential strategy for preventing PPWR. In the future, the effectiveness of folic acid in PPWR prevention can be further verified by population studies. Full article
(This article belongs to the Section Nutrition in Women)
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Figure 1

Figure 1
<p>Folic acid supplementation altered the body weights of dams and the birth weights of pups. (<b>A</b>) Body weights of dams. (<b>B</b>) Gestational weight gain. (<b>C</b>) Numbers of pups. (<b>D</b>) Birth weights of pups. (<b>E</b>) Lactational weight loss. (<b>F</b>) Weight loss from weaning to 1 week post-weaning. (<b>G</b>) Body weight changes throughout the experiment. (<b>H</b>) Rates of body weight changes throughout the experiment. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
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<p>Changes in water intake, food intake and energy intake. (<b>A</b>) Water intake. (<b>B</b>) Food intake. (<b>C</b>) Energy intake. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
Full article ">Figure 3
<p>Folic acid supplementation ameliorated serum biochemical profiles in dams. (<b>A</b>) Serum TGs. (<b>B</b>) Serum Hcy. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
Full article ">Figure 4
<p>Folic acid supplementation reduced fat weight and the fat index in dams. (<b>A</b>) Perirenal fat weight. (<b>B</b>) Perirenal fat index. (<b>C</b>) Mesenteric fat weight. (<b>D</b>) Mesenteric fat index. (<b>E</b>) Periovarian fat weight. (<b>F</b>) Periovarian fat index. (<b>G</b>) Total visceral fat weight. (<b>H</b>) Total visceral fat index. (<b>I</b>) Adipocyte size. (<b>J</b>) Pathological changes in periovarian fat. H&amp;E staining of perirenal fat was photographed at 400× magnification. Scale bar = 100 μm. Adipocyte size was measured by using ImageJ software (version 1.8.0). Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
Full article ">Figure 5
<p>Folic acid supplementation reduced liver weight and the liver index and ameliorated hepatic lipids profiles in dams. (<b>A</b>) Liver weight. (<b>B</b>) Liver index. (<b>C</b>) Hepatic TGs. (<b>D</b>) Pathological changes in the liver. H&amp;E staining of the liver tissue was photographed at 200 × magnification. Scale bar = 100 μm. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
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<p>Folic acid supplementation alleviated hepatic oxidative stress in dams. (<b>A</b>) Hepatic MDA. (<b>B</b>) Hepatic GSH-Px. (<b>C</b>) Hepatic SOD. (<b>D</b>) Hepatic CAT. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 10). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
Full article ">Figure 7
<p>Folic acid supplementation alleviated hepatic ER stress and reduced lipid synthesis in dams. (<b>A</b>,<b>B</b>) Protein expression levels related to ER stress. (<b>C</b>) Protein expression levels related to lipid synthesis. Values are presented as the mean ± SD (<span class="html-italic">n</span> = 3). <sup>a</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the CON group. <sup>b</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the HF group. <sup>c</sup> <span class="html-italic">p</span> &lt; 0.05 indicates significant differences in comparison to the FA group.</p>
Full article ">Figure 8
<p>Potential mechanism underlying the preventative effect of folic acid on PPWR.</p>
Full article ">
17 pages, 4794 KiB  
Article
Extended Photoperiod Facilitated the Restoration of the Expression of GH-IGF Axis Genes in Submerged Rainbow Trout (Oncorhynchus mykiss)
by Kang Dong, Zhishuai Hou, Zhao Li, Yuling Xu and Qinfeng Gao
Int. J. Mol. Sci. 2024, 25(24), 13583; https://doi.org/10.3390/ijms252413583 (registering DOI) - 19 Dec 2024
Viewed by 108
Abstract
Salmonids, classified as physostomous fish, maintain buoyancy by ingesting air to inflate their swim bladders. Long-term submergence has been shown to cause body imbalance and reduced growth performance in these fish. Previous studies have demonstrated that extended photoperiod can promote growth in salmonids. [...] Read more.
Salmonids, classified as physostomous fish, maintain buoyancy by ingesting air to inflate their swim bladders. Long-term submergence has been shown to cause body imbalance and reduced growth performance in these fish. Previous studies have demonstrated that extended photoperiod can promote growth in salmonids. This study aimed to investigate the regulatory effects of prolonged lighting on the growth of submerged rainbow trout (Oncorhynchus mykiss) by examining the transcriptional expression of genes in the growth hormone (GH)-insulin-like growth factor (IGF) axis. Rainbow trout were individually reared in one of the six environments, defined by the combination of three photoperiods (0L:24D, 12L:12D, and 24L:0D) and two spatial rearing modes (routine and submerged), for 16 weeks. We compared the growth performance of rainbow trout in different environments and further analyzed the transcription profiles and correlations of GH-IGF axis genes in the brain, liver, and muscle. The findings of this study were as follows: growth performance of rainbow trout gradually increased with photoperiod duration. Specifically, final body weight (FBW) and specific growth rate (SGR) increased, while feed conversion ratio (FCR) decreased. Extended photoperiod partially mitigated the adverse effects of long-term submergence on rainbow trout growth. Under 24L:0D photoperiod conditions, growth performance (FBW, SGR, and FCR) in submerged and routine rainbow trout was more closely aligned compared to 0L:24D and 12L:12D photoperiod conditions. In response to variations in the photoperiod, GH-IGF axis genes of rainbow trout exhibited significant transcriptional differences, particularly between treatments with 0L:24D and 24L:0D light exposure. An extended photoperiod facilitated the restoration of the expression of GH-IGF axis genes in submerged rainbow trout towards routine levels, including the up-regulation of sst and sstr2 genes in the brain. Correlation analysis implied differentiation of physiological functions of ghr and igfbp paralogs. This study provided insights into the feasibility of enhancing the growth performance of submerged salmonids through photoperiod manipulation. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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Figure 1

Figure 1
<p>Comparative analysis of growth parameters of rainbow trout in various environments. (<b>A</b>) Final body weight (FBW) (<span class="html-italic">n</span> = 36). (<b>B</b>) Specific growth rate (SGR) (<span class="html-italic">n</span> = 3). (<b>C</b>) Feed conversion ratio (FCR) (<span class="html-italic">n</span> = 3). (<b>D</b>) Survival rate (SR) (<span class="html-italic">n</span> = 3). The percentages represent the ratios of growth parameters of rainbow trout between submerged and routine modes under the same photoperiod. Data are expressed as means ± standard deviation. Different uppercase letters indicate statistically significant differences between modes under the same photoperiod, while different lowercase letters indicate statistically significant differences among photoperiods under the same mode, <span class="html-italic">p</span> &lt; 0.05. “ns” indicates no significant differences between groups.</p>
Full article ">Figure 2
<p>Transcriptional profiles of brain GH-IGF axis genes in various environments. (<b>A</b>–<b>C</b>) The heatmap (<b>A</b>), principal component analysis (PCA) (<b>B</b>), and partial least squares discriminant analysis (PLS-DA) (<b>C</b>) of the brain GH-IGF axis genes under different photoperiods in routine mode. (<b>D</b>–<b>F</b>) The heatmap (<b>D</b>), PCA (<b>E</b>), and PLS-DA (<b>F</b>) of the brain GH-IGF axis genes under different photoperiods in submerged mode. (<b>G</b>–<b>I</b>) The heatmap (<b>G</b>), PCA (<b>H</b>), and PLS-DA (<b>I</b>) of the brain GH-IGF axis genes in interactive environments of photoperiod and mode. R0, 0L:24D photoperiod with routine mode; R12, 12L:12D photoperiod with routine mode; R24, 24L:0D photoperiod with routine mode; S0, 0L:24D photoperiod with submerged mode; S12, 12L:12D photoperiod with submerged mode; S24, 24L:0D photoperiod with submerged mode.</p>
Full article ">Figure 3
<p>Transcriptional profiles of liver GH-IGF axis genes in various environments. (<b>A</b>–<b>C</b>) The heatmap (<b>A</b>), principal component analysis (PCA) (<b>B</b>), and partial least squares discriminant analysis (PLS-DA) (<b>C</b>) of liver GH-IGF axis genes under different photoperiods in routine mode. (<b>D</b>–<b>F</b>) The heatmap (<b>D</b>), PCA (<b>E</b>), and PLS-DA (<b>F</b>) of liver GH-IGF axis genes under different photoperiods in submerged mode. (<b>G</b>–<b>I</b>) The heatmap (<b>G</b>), PCA (<b>H</b>), and PLS-DA (<b>I</b>) of liver GH-IGF axis genes in interactive environments of photoperiod and mode. R0, 0L:24D photoperiod with routine mode; R12, 12L:12D photoperiod with routine mode; R24, 24L:0D photoperiod with routine mode; S0, 0L:24D photoperiod with submerged mode; S12, 12L:12D photoperiod with submerged mode; S24, 24L:0D photoperiod with submerged mode.</p>
Full article ">Figure 4
<p>Transcriptional profiles of muscle GH-IGF axis genes in various environments. (<b>A</b>–<b>C</b>) The heatmap (<b>A</b>), principal component analysis (PCA) (<b>B</b>), and partial least squares discriminant analysis (PLS-DA) (<b>C</b>) of muscle GH-IGF axis genes under different photoperiods in routine mode. (<b>D</b>–<b>F</b>) The heatmap (<b>D</b>), PCA (<b>E</b>), and PLS-DA (<b>F</b>) of muscle GH-IGF axis genes under different photoperiods in submerged mode. (<b>G</b>–<b>I</b>) The heatmap (<b>G</b>), PCA (<b>H</b>), and PLS-DA (<b>I</b>) of muscle GH-IGF axis genes in interactive environments of photoperiod and mode. R0, 0L:24D photoperiod with routine mode; R12, 12L:12D photoperiod with routine mode; R24, 24L:0D photoperiod with routine mode; S0, 0L:24D photoperiod with submerged mode; S12, 12L:12D photoperiod with submerged mode; S24, 24L:0D photoperiod with submerged mode.</p>
Full article ">Figure 5
<p>Correlation analysis of GH-IGF axis genes in the brain, liver, and muscle. (<b>A</b>–<b>E</b>) Heatmap of correlations among GH-IGF axis genes (<b>A</b>) and Pearson correlation coefficients of two genes (<b>B</b>–<b>E</b>) in the brain. (<b>F</b>–<b>J</b>) Heatmap of correlations among GH-IGF axis genes (<b>F</b>) and Pearson correlation coefficients of two genes (<b>G</b>–<b>J</b>) in the liver. (<b>K</b>–<b>O</b>) Heatmap of correlations among GH-IGF axis genes (<b>K</b>) and Pearson correlation coefficients of two genes (<b>L</b>–<b>O</b>) in the muscle.</p>
Full article ">Figure 6
<p>Schematic representation of the experimental procedure. (<b>Left</b>) The trout were subjected to a series of acclimation steps prior to the experiment: (I) Freshwater environment. (II) Seawater domestication. (III) Seawater environment. (<b>Middle</b>) Experimental design. Six groups were set up with triplicates: 0L:24D photoperiod with routine mode (R0), 12L:12D photoperiod with routine mode (R12), 24L:0D photoperiod with routine mode (R24), 0L:24D photoperiod with submerged mode (S0), 12L:12D photoperiod with submerged mode (S12), and 24L:0D photoperiod with submerged mode (S24), respectively. (<b>Right</b>) Brain, liver, and dorsal muscle tissues were dissected for the analysis of the GH-IGF axis genes.</p>
Full article ">
21 pages, 7505 KiB  
Article
Evaluating the Efficacy of Levetiracetam on Non-Cognitive Symptoms and Pathology in a Tau Mouse Model
by Jackson C. Thompson, Marselina Levis Rabi, Michelle Novoa, Kevin R. Nash and Aurelie Joly-Amado
Biomedicines 2024, 12(12), 2891; https://doi.org/10.3390/biomedicines12122891 (registering DOI) - 19 Dec 2024
Viewed by 166
Abstract
Background/Objectives: Alzheimer’s disease (AD) is marked by amyloid-β plaques and hyperphosphorylated tau neurofibrillary tangles (NFTs), leading to cognitive decline and debilitating non-cognitive symptoms. This study aimed to evaluate compounds from four different classes in a short-term (7-day) study using transgenic tau mice to [...] Read more.
Background/Objectives: Alzheimer’s disease (AD) is marked by amyloid-β plaques and hyperphosphorylated tau neurofibrillary tangles (NFTs), leading to cognitive decline and debilitating non-cognitive symptoms. This study aimed to evaluate compounds from four different classes in a short-term (7-day) study using transgenic tau mice to assess their ability to reduce non-cognitive symptoms. The best candidate was then evaluated for longer exposure to assess non-cognitive symptoms, cognition, and pathology. Methods: Tg4510 mice, expressing mutated human tau (P301L), were administered with levetiracetam, methylphenidate, diazepam, and quetiapine for 7 days at 6 months old, when pathology and cognitive deficits are established. Drugs were given in the diet, and non-cognitive symptoms were evaluated using metabolic cages. Levetiracetam was chosen for longer exposure (3 months) in 3-month-old Tg4510 mice and non-transgenic controls to assess behavior and pathology. Results: After 3 months of diet, levetiracetam mildly reduced tau pathology in the hippocampus but did not improve cognition in Tg4510 mice. Interestingly, it influenced appetite, body weight, anxiety-like behavior, and contextual fear memory in non-transgenic animals but not in Tg4510 mice. Conclusions: While levetiracetam has shown benefits in amyloid deposition models, it had limited effects on tau pathology and behavior in an animal model of tau deposition, which is crucial for AD context. The differential effects on non-transgenic versus Tg4510 mice warrant further investigation. Full article
(This article belongs to the Topic Translational Advances in Neurodegenerative Dementias)
Show Figures

Figure 1

Figure 1
<p>Total activity (counts) during the last 3 days of drug treatment at night and during the day in 6-month-old non-transgenic mice fed a control diet (ntg chow, white bar), and age-matched Tg4510 mice fed a control diet (chow, black bars) or a diet with diazepam, 0.5 mg/kg/d (dia, blue bars); levetiracetam, 40 mg/kg/d (lev, green bars); methylphenidate, 10 mg/kg/d (mph, yellow bars); or quetiapine, 5 mg/kg/d (quet, purple bars). Data are presented as mean ± SEM; <span class="html-italic">n</span> = 5–8/group. Statistical comparisons were performed using a two-way ANOVA followed by Fisher’s post hoc test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Respiratory exchange rate, i.e., ratio of volume of CO<sub>2</sub> produced of O<sub>2</sub> consumed, (<b>A</b>) and energy expenditure (<b>B</b>) at night and during the day in 6-month-old non-transgenic mice fed a control diet (Ntg chow, white bar), and age-matched Tg4510 mice fed a control diet (chow, black bars) or a diet with diazepam, 0.5 mg/kg/d (Dia, blue bars); levetiracetam, 40 mg/kg/d (Lev, green bars); methylphenidate, 10 mg/kg/d (Mph, yellow bars); or quetiapine, 5 mg/kg/d (Quet, purple bars). Data are presented as mean ± SEM, <span class="html-italic">n</span> = 5–8/group. Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test.</p>
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<p>Weekly food intake (<b>A</b>) over the course of drug treatment and total fat mass (<b>B</b>) at the end of the treatment in 6-month-old mice non-transgenic mice fed a control diet (ntg chow, white bar) and age-matched Tg4510 mice fed a control diet (chow, black bars) or a diet with diazepam, 0.5 mg/kg/d (Dia, blue bars); levetiracetam, 40 mg/kg/d (Lev, green bars); methylphenidate, 10 mg/kg/d (Mph, yellow bars); and quetiapine, 5 mg/kg/d (Quet, purple bars). Data are presented as mean ± SEM, <span class="html-italic">n</span> = 5–8/group<tt>. </tt>Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test: * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>(<b>A</b>) Body weight, (<b>B</b>) brain weight, (<b>C</b>) food intake, and (<b>D</b>) adipose tissue weight comparisons between Ntg and Tg4510 mice fed chow (black bars) and a levetiracetam diet (lev, white bars). Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001. Data are represented as means ± SEM.</p>
Full article ">Figure 5
<p>Open field test: (<b>A</b>) total distance traveled, (<b>B</b>) time in center, and (<b>C</b>) time in perimeter for Ntg and Tg4510 mice fed chow (black bars) and Lev diet (white bars). Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Data are represented as means ± SEM.</p>
Full article ">Figure 6
<p>Latency to fall during Rotarod test represented as total time (<b>A</b>) and as trials (<b>B</b>) in Ntg and Tg4510 mice fed chow (black bars) and Lev diet (white bars). Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test and repeated measures ANCOVA: * <span class="html-italic">p</span> &lt; 0.05. Data are represented as means ± SEM.</p>
Full article ">Figure 7
<p>Radial arm water maze represented as blocks, with the average of number of errors per three trials (<b>A</b>) and total number of errors (<b>B</b>), and reversal represented as blocks (<b>C</b>) and total errors (<b>D</b>) in non-transgenic and Tg4510 mice fed chow (black bars) and a Lev diet (white bars). Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test or repeated measures ANOVA: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Data are represented as means ± SEM.</p>
Full article ">Figure 8
<p>Cued (<b>A</b>) and contextual (<b>B</b>) fear conditioning tests with training (<b>C</b>) in Ntg and Tg4510 mice fed chow (black bars) and Lev diet (white bars). Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test or a repeated measures ANOVA: ** <span class="html-italic">p</span> &lt; 0.01. Data are represented as means ± SEM.</p>
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<p>Levetiracetam content in the brain (<b>A</b>) and plasma (<b>B</b>) following 3 months of treatment in Ntg and Tg4510 mice fed a Lev diet. Statistical comparisons using Student’s <span class="html-italic">t</span>-test. Data are represented as means ± SEM.</p>
Full article ">Figure 10
<p>(<b>A</b>) Quantification of band densitometry of total tau (Tau 46, H150), (<b>B</b>) tau phosphorylated at serine 396, and (<b>C</b>) serine 199 and 202 in the hippocampus of Tg4510 mice fed chow (black) and mice fed a Lev diet (white). (<b>D</b>) Micrograph representation of Western blotting with H150, pSer396, and pSer199/202 (pTau) markers. Statistical comparisons using <span class="html-italic">t</span>-test. Data are represented as means ± SEM. * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 11
<p>Quantification (<b>A</b>) of positive area stained with Gallyas’ silver stain in the anterior cortex (ACX), hippocampus (HPC), and posterior cortex (PCX) in Tg4510 mice fed a control chow diet (black bars) or a levetiracetam diet (white bars) for 3 months. Micrographic representation of Gallyas’ silver stain (Nissl) in non-transgenic (Ntg) (<b>B</b>) and Tg4510 mice fed with a control chow diet (<b>C</b>) or a levetiracetam diet (<b>D</b>) for 3 months. Statistical comparisons using two-way ANOVA followed by Fisher’s post hoc test. Data are represented as means ± SEM. Scale bar 100 μm for main picture and 20 μm for insert.</p>
Full article ">Figure 12
<p>(<b>A</b>) Quantification of band densitometry for synaptic vesicle glycoprotein 2A (SV2A) in the hippocampus of Tg4510 mice fed chow (black) and mice fed a Lev diet (white). (<b>B</b>) Micrograph representation of Western blotting for SV2A and control proteins. Data are represented as means ± SEM. Statistical comparisons using two-way ANOVA followed by Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns: not significant.</p>
Full article ">Figure 13
<p>Quantification of band densitometry for synaptotagmin (<b>A</b>), PSD-95 (<b>B</b>), and synaptophysin (<b>C</b>) in the hippocampus of Tg4510 mice fed chow (black) and mice fed a Lev diet (white). Micrograph representation of Western blotting and total protein (<b>D</b>). Statistical comparisons using one-way ANOVA followed by Tukey’s post hoc test * <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. Please note, synaptotagmin was probed on the same gel as pSer199/202 (<a href="#biomedicines-12-02891-f010" class="html-fig">Figure 10</a>); thus, the same total protein was used. We found no differences in non-transgenic mice fed a control diet or treated with Lev; therefore, these groups were pooled together for analysis.</p>
Full article ">
15 pages, 2091 KiB  
Article
A Study on the Function of Arginine in the Growth, Immunity, Antioxidant Activity, and Oxygen Carrying-Capacity of Juvenile Gibel Carp (Carassius auratus gibelio)
by Yuqun Li, Lu Zhang, Mingchun Ren, Hualiang Liang, Haifeng Mi and Dongyu Huang
BioTech 2024, 13(4), 56; https://doi.org/10.3390/biotech13040056 (registering DOI) - 19 Dec 2024
Viewed by 157
Abstract
An eight-week trial was designed to study the effects of arginine (Arg) supplemented diets on the growth, immunity, antioxidant activity, and oxygen-carrying capacity of juvenile Gibel carp (Carassius auratus gibelio). A total of 300 fish (27.53 ± 0.03 g) were randomized [...] Read more.
An eight-week trial was designed to study the effects of arginine (Arg) supplemented diets on the growth, immunity, antioxidant activity, and oxygen-carrying capacity of juvenile Gibel carp (Carassius auratus gibelio). A total of 300 fish (27.53 ± 0.03 g) were randomized into 15 equal groups and fed on diets with graded Arg levels: 0 (control), 0.2%, 0.4%, 0.6%, and 0.8% (w/w). The results showed that final body weight (FBW), weight gain rate (WGR), and specific growth rate (SGR) all increased and then declined with increasing levels of Arg supplementation, while feed conversion ratio (FCR) showed the opposite trend. In addition, the fish’s whole-body crude protein and ash content had no remarkable difference at different levels of Arg addition (p > 0.05). Supplementation with 0.6% and 0.8% Arg significantly increased plasma alanine transaminase (ALT) activity (p < 0.05). The malondialdehyde (MDA) levels and superoxide dismutase (SOD) activities of the liver were not significantly different between the different levels of Arg supplementation (p > 0.05), while catalase (CAT) activity was significantly increased with 0.4% Arg supplementation levels (p < 0.05). The 0.8% Arg supplementation greatly increased the expression of hepatic-related genes to the Nrf2 signaling pathway, including sod and gpx (p < 0.05). However, the 0.8% Arg supplementation did not significantly increase the relative expression of genes related to the NF-κB signaling pathway, including il-1β, il-8, and tnf-α (p > 0.05). Similarly, the relative expression of hif-1 signaling pathway-related genes at 0.8% Arg supplementation was significantly elevated, including hif-1α, epo, and vegf (p < 0.05). Hence, Arg supplementation could promote growth and improve immune, antioxidant, and oxygen-carrying capacity in juvenile Gibel carp. Full article
(This article belongs to the Section Agricultural and Food Biotechnology)
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<p>Quadratic regression model analysis of specific growth rate (SGR) against graded different supplementation levels of Arg.</p>
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<p>Quadratic regression model analysis of feed conversion ratio (FCR) against graded different supplementation levels of Arg.</p>
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<p>The anti-inflammatory gene expression in Gibel carp. Those significantly different from each other are represented by different letters (a and b).</p>
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<p>The pro-inflammatory gene expression in Gibel carp.</p>
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<p>The antioxidant-related gene expression in Gibel carp. Those significantly different from each other are represented by different letters (a and b).</p>
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<p>The HIF-1 pathway-related gene expression in Gibel carp. Those significantly different from each other are represented by different letters (a and b).</p>
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11 pages, 1221 KiB  
Article
Association Between Visceral Fat and Lung Function Impairment in Overweight and Grade I Obese Women: A Cross-Sectional Study
by Anamei Silva-Reis, Boris Brill, Maysa Alves Rodrigues Brandao-Rangel, Renilson Moraes-Ferreira, Dobroslav Melamed, Helida Cristina Aquino-Santos, Claudio Ricardo Frison, Regiane Albertini, Rodrigo Álvaro Brandao Lopes-Martins, Luís Vicente Franco de Oliveira, Gustavo Paixao-Santos, Carlos Rocha Oliveira, Asghar Abbasi and Rodolfo P. Vieira
Adv. Respir. Med. 2024, 92(6), 548-558; https://doi.org/10.3390/arm92060048 - 18 Dec 2024
Viewed by 329
Abstract
Beyond the common comorbidities related to obesity, such as type 2 diabetes and cardiovascular diseases, impaired lung function is already known, but whether the fat distribution (sub-cutaneous, visceral) affects the lung function and pulmonary immune response are poorly known. Few evidence has shown [...] Read more.
Beyond the common comorbidities related to obesity, such as type 2 diabetes and cardiovascular diseases, impaired lung function is already known, but whether the fat distribution (sub-cutaneous, visceral) affects the lung function and pulmonary immune response are poorly known. Few evidence has shown that visceral fat is associated with insulin resistance, low-grade inflammation, and reduced lung function. In the present study, the body composition and fat distribution were evaluated by multi-frequency octopolar bioimpedance. This study demonstrated a possible association of increased visceral fat with impaired lung function in obesity grade I (n = 28; 45.46 ± 10.38 years old) women that was not observed in normal weight (n = 20; 43.20 ± 10.78 years old) and in overweight women (n = 30; 47.27 ± 10.25 years old). We also identified a negative correlation in FVC% (R2 = 0.9129; p < 0.0236), FEV1% (R2 = 0.1079; p < 0.0134), PEF% (R2 = 0.1673; p < 0.0018), and VC IN% (R2 = 0.1330; p < 0.0057) in the obesity grade I group, clearly demonstrating that higher levels of visceral fat correlate with reduced lung function, but not with sub-cutaneous fat. In addition, for the first time, a negative correlation among anti-fibrotic protein klotho (R2 = 0.09298; p < 0.0897) and anti-inflammatory IL-10 (R2 = 0.1653; p < 0.0487) in plasma was observed, in contrast to increased visceral fat. On the contrary, in breath condensate, a positive correlation for adiponectin (R2 = 0.5665; p < 0.0120), IL1-Ra (R2 = 0.2121; p < 0.0544), and IL1-Beta (R2 = 0.3270; p < 0.0084) was found. Thus, increased visceral fat directly influences the impairment of lung function and the systemic and pulmonary immune response of women with obesity grade I. Full article
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<p>Effects of visceral fat on the lung function test (spirometry). (<b>A</b>) Correlation of visceral fat with FVC% in women with obesity grade 1; (<b>B</b>) correlation of visceral fat with FEV1% in obesity grade 1 women; (<b>C</b>) correlation of visceral fat with PEF% in women with obesity grade 1; (<b>D</b>) correlation of visceral fat with VC IN% in women with obesity grade 1; (<b>E</b>) correlation of visceral fat with FVC% in normal weight women; (<b>F</b>) correlation of visceral fat with FEV1% in normal weight women, and (<b>G</b>) correlation of visceral fat with FEV1% VC MAX (L) in normal weight women.</p>
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<p>Effects of visceral fat on systemic immune response. (<b>A</b>) Correlation of visceral fat with plasma levels of anti-inflammatory and anti-fibrotic protein klotho in women in the obesity grade 1 group; (<b>B</b>) correlation of visceral fat with the plasma levels of the anti-inflammatory cytokine IL-10 in women in the obesity grade 1 group; (<b>C</b>) correlation of visceral fat with the plasma levels of the natural inhibitor of the pro-inflammatory effect of IL1β cytokine IL1-RA in overweight women; (<b>D</b>) correlation of visceral fat with the plasma levels of the anti-inflammatory cytokine IL-10 in overweight women; (<b>E</b>) correlation of visceral fat with the plasma levels of the anti-inflammatory cytokine IL-10 in the normal weight group.</p>
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<p>Effects of visceral fat on pulmonary immune response. (<b>A</b>) Correlation of visceral fat with the pulmonary levels of the anti-inflammatory adipokine adiponectin in women with obesity grade 1; (<b>B</b>) correlation of visceral fat with the pulmonary levels of the natural inhibitor of the pro-inflammatory effect of IL1β cytokine IL1-RA in the group with obesity; (<b>C</b>) correlation of visceral fat with the pulmonary levels of the pro-inflammatory interleukin IL1-1β in the group with obesity; (<b>D</b>) correlation of visceral fat with the pulmonary levels of the anti-inflammatory adipokine adiponectin in overweight women; (<b>E</b>) correlation of visceral fat with levels of the pulmonary anti-inflammatory cytokine IL-10 in overweight women; (<b>F</b>) correlation of visceral fat with the pulmonary levels of IGF-1 in the overweight group; (<b>G</b>) correlation of visceral fat with levels of the pulmonary anti-inflammatory cytokine IL-10 in women in the normal weight group; (<b>H</b>) correlation of visceral fat with the pulmonary levels of IGF-1 in the normal weight group.</p>
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14 pages, 702 KiB  
Article
The Role of Inflammatory and Nutritional Indices in Postmenopausal Osteoporosis: A Retrospective Study
by Busra Demir Cendek, Burak Bayraktar, Mehmet Alican Sapmaz, Ayse Ecenaz Yıldırım, Mujde Can Ibanoglu and Yaprak Engin Ustun
J. Clin. Med. 2024, 13(24), 7741; https://doi.org/10.3390/jcm13247741 - 18 Dec 2024
Viewed by 245
Abstract
Background: Postmenopausal osteoporosis is characterized by impaired bone metabolism, inflammation, and nutritional deficiencies. This study aimed to evaluate the potential of inflammatory and nutritional markers in identifying decreased bone mineral density (BMD) in postmenopausal women. Methods: This cross-sectional study retrospectively analyzed [...] Read more.
Background: Postmenopausal osteoporosis is characterized by impaired bone metabolism, inflammation, and nutritional deficiencies. This study aimed to evaluate the potential of inflammatory and nutritional markers in identifying decreased bone mineral density (BMD) in postmenopausal women. Methods: This cross-sectional study retrospectively analyzed postmenopausal women from January 2018 and December 2023. A total of 368 women were divided into three groups based on T-scores: 61 women with osteoporosis (T-score ≤ −2.5), 153 women with osteopenia (−1 > T-score > −2.5), and 154 women with normal BMD (T-score > −1). Inflammatory and nutritional biomarkers included the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), pan-immune inflammation value (PIV), geriatric nutritional risk index (GNRI), triglycerides, total cholesterol, and body weight index (TCBI), prognosis nutritional index (PNI), hemoglobin, albumin, lymphocyte, and platelet (HALP) score, 25-OH Vitamin D level, Na, K, Ca, Mg, and their ratios. Results: The GNRI was significantly lower in the osteoporosis group compared to the control group. The NLR, PLR, SII, SIRI, PIV, TCBI, PNI, and HALP were similar between the groups. The GNRI and TCBI showed a positive correlation with T-scores. The Mg level was lower in the osteoporosis group than in the control group and osteopenia group, and the Na/Mg ratio was higher. Additionally, the Ca/Mg ratio was lower in the osteoporosis group than in the control group. The T-score was positively correlated with Mg and Ca/Mg, while the Na/Mg ratio showed a significant negative correlation. Vitamin D, other minerals, and their ratios did not show significant differences between the groups. Conclusions: Our findings suggest that the GNRI could serve as a useful indicator for assessing bone health and the risk of osteoporosis. Furthermore, maintaining appropriate levels of Mg and balanced Na/Mg and Ca/Mg ratios appears crucial for BMD. Full article
(This article belongs to the Section Obstetrics & Gynecology)
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<p>Receiver operating characteristic (ROC) curves to evaluate the usefulness of age, duration of menopause, and Na/Mg in differentiating osteoporosis.</p>
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<p>Receiver operating characteristic (ROC) curves to evaluate usefulness of BMI, GNRI, Mg, and Ca/Mg in differentiating osteoporosis.</p>
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26 pages, 5952 KiB  
Article
Network Long-Term Evolution Quality of Service Assessment Using a Weighted Fuzzy Inference System
by Julio Ernesto Zaldivar-Herrera, Luis Pastor Sánchez-Fernández and Luis Manuel Rodríguez-Méndez
Mathematics 2024, 12(24), 3985; https://doi.org/10.3390/math12243985 - 18 Dec 2024
Viewed by 276
Abstract
The United Nations has pushed for improved mobile connectivity, ensuring that 97% of the world’s population lives within reach of a mobile cellular signal. This is within the framework of objective nine regarding industry, innovation, and infrastructure for sustainable development. The next challenge [...] Read more.
The United Nations has pushed for improved mobile connectivity, ensuring that 97% of the world’s population lives within reach of a mobile cellular signal. This is within the framework of objective nine regarding industry, innovation, and infrastructure for sustainable development. The next challenge is for users to know the quality of this service. The Long-Term Evolution (LTE) network’s quality of service (QoS) is evaluated with key performance indicators (KPI) that only specialists can interpret. This work aims to assess the QoS and effectiveness of the fourth-generation (4G) LTE network using a weighted fuzzy inference system. Analytic Hierarchy Process (AHP) is integrated to rank the fuzzy rules. The KPIs that are considered for the evaluation are download speed, upload speed, latency, jitter, packet loss rate, reference received signal power (RSRP), and reference received signal quality (RSRQ). The evaluated data were collected collaboratively with end-user equipment (UEs). Different usage scenarios are contemplated to define the importance according to the positive impact of the QoS of the LTE mobile network. The advantage of the weighted fuzzy inference system concerning the fuzzy inference system is that each KPI is assigned a different weight, which implies having rules with hierarchies. In this way, the weighted fuzzy inference system provides two indices of quality and effectiveness. It can be a valuable tool for end users and regulatory bodies to identify the quality of the LTE mobile network. Full article
(This article belongs to the Section Fuzzy Sets, Systems and Decision Making)
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<p>Block diagram of weighted fuzzy inference system.</p>
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<p>Architecture of the weighted fuzzy inference system for evaluating the LTE mobile network’s quality of service (QoS) and data transfer effectiveness.</p>
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<p>Membership functions, (<b>a</b>) Example of a sigmoid membership function, with its defining parameters. (<b>b</b>) Output membership functions used to obtain both the quality of service (QoS) and effectiveness (E) indices of the LTE mobile network.</p>
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<p>Example of the operation of a fuzzy rule to obtain the effectiveness index. The assignment of weights <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>w</mi> </mrow> <mrow> <mi>P</mi> <mi>L</mi> <mi>R</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>w</mi> </mrow> <mrow> <mi>R</mi> <mi>S</mi> <mi>R</mi> <mi>P</mi> </mrow> </msub> </mrow> </semantics></math> is chosen according to the membership function determining the output rule. In this case, the packet loss rate membership function and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>w</mi> </mrow> <mrow> <mi>P</mi> <mi>L</mi> <mi>R</mi> </mrow> </msub> </mrow> </semantics></math> define the maximum output rule.</p>
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<p>Fuzzy inference architecture for 4G LTE network QoS assessment using rules 240 and 241. The output rule membership values are used to truncate the QoS membership function. Then, all the truncated functions (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>μ</mi> </mrow> <mrow> <mi>Q</mi> <mi>o</mi> <mi>S</mi> </mrow> </msub> </mrow> </semantics></math>) are combined to create a final membership function (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>μ</mi> </mrow> <mrow> <mi>g</mi> </mrow> </msub> </mrow> </semantics></math>). Subsequently, the centroid method (<math display="inline"><semantics> <mrow> <mi>C</mi> <mi>M</mi> </mrow> </semantics></math>) is used to calculate the output score.</p>
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<p>Analysis of each KPI of the repository of information collected with user equipment, (<b>a</b>) download speed, (<b>b</b>) upload speed, (<b>c</b>) latency, (<b>d</b>) jitter, (<b>e</b>) packet loss rate, (<b>f</b>) RSRP, and (<b>g</b>) RSRQ.</p>
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<p>Analysis of each KPI of the repository of information collected with user equipment, (<b>a</b>) download speed, (<b>b</b>) upload speed, (<b>c</b>) latency, (<b>d</b>) jitter, (<b>e</b>) packet loss rate, (<b>f</b>) RSRP, and (<b>g</b>) RSRQ.</p>
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<p>Comparison between the evaluations obtained from QoS-FIS and the proposed QoS-AHP.</p>
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<p>Comparison between the evaluations obtained from Effectiveness-FIS and the proposed Effectiveness-AHP.</p>
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<p>Correlation between index (<b>a</b>) assessment between the quality of service index obtained with the proposed Analytic Hierarchy Process (QoS-AHP) and the quality of service index obtained with the fuzzy inference system (QoS-FIS). (<b>b</b>) estimation between the effectiveness index obtained with the proposed Analytic Hierarchy Process (E-AHP) and the effectiveness index obtained with the fuzzy inference system (E-FIS).</p>
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15 pages, 2241 KiB  
Article
Apocynin, a Selective NADPH Oxidase (Nox2) Inhibitor, Ameliorates Behavioural and Learning Deficits in the Fragile X Syndrome Mouse Model
by Yolanda de Diego-Otero, Rajaa El Bekay, Francisco García-Guirado, Lourdes Sánchez-Salido and Rosa María Giráldez-Pérez
Biomedicines 2024, 12(12), 2887; https://doi.org/10.3390/biomedicines12122887 - 18 Dec 2024
Viewed by 359
Abstract
Background/Objectives: Fragile X Syndrome (FXS) is associated with intellectual disability, hyperactivity, social anxiety and signs of autism. Hyperactivation of NADPH oxidase has been previously described in the brain of the male Fmr1-KO mouse. This work aims to demonstrate the efficacy of Apocynin, [...] Read more.
Background/Objectives: Fragile X Syndrome (FXS) is associated with intellectual disability, hyperactivity, social anxiety and signs of autism. Hyperactivation of NADPH oxidase has been previously described in the brain of the male Fmr1-KO mouse. This work aims to demonstrate the efficacy of Apocynin, a specific NADPH oxidase inhibitor, in treating Fragile X mouse hallmarks. Methods: Free radicals, lipid and protein oxidation markers and behavioural and learning paradigms were measured after chronic treatment with orally administered vehicle, 10 mg/kg/day or 30 mg/kg/day of Apocynin. Results: The results revealed a reduction in testis weight, an increase in peritoneal fat, and no variation in body weight after chronic treatment. Furthermore, a reduction in hyperactivity was detected in Apocynin-treated male Fmr1-KO mice. Additionally, the higher dose of 30 mg/kg/day also improves behaviour and learning in the male Fmr1-KO mice, normalising free radical production and oxidative parameters. Moreover, a reduction in phospho-EKR1 and P47-Phox protein signals was observed in specific brain areas. Conclusions: Thus, chronic treatment with Apocynin could lead to a new therapeutic option for the Fragile X Syndrome. Full article
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<p>Measurement of the effect of Apocynin on ROS production in macrophages (<b>A</b>) and brain slices (<b>B</b>). A reduction of ROS production was observed after chronic treatment with 30 mg/kg/day of Apocynin. The data show the mean luminescence (arbitrary units) measured in three mice per group for each time point ± SEM (* <span class="html-italic">p</span> &lt; 0.05 Fmr1-KO versus WT).</p>
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<p>Apocynin treatment reduced oxidation levels in lipids (<b>A</b>) and proteins (<b>B</b>,<b>C</b>). Apocynin reduced brain TBARS levels when the Fmr1-KO group was compared to the WT-control group. Determination of the membrane lipid peroxidation fraction from the brain by quantification of the spectrophotometry conducted for TBARS in WT and Fmr1-KO mice after chronic treatment with vehicle and Apocynin (10 mg/kg/day and 30 mg/kg/day). Carbonyl content of protein from the membrane and cytosolic fractions isolated from WT-control and Fmr1-KO brains after chronic treatment with vehicle and Apocynin (10 mg/kg/day and 30 mg/kg/day). Data are expressed as mean values ± S.E.M. Statistical significance was determined using the unpaired <span class="html-italic">t</span>-test, and * <span class="html-italic">p</span> values &lt; 0.05 were considered significant when the Fmr1-KO group was compared to the WT-control group.</p>
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<p>The open field maze was used to assess hyperlocomotion in a novelty condition. The mice’s activity in the maze was tracked with a digital video camera coupled with Smart 3.0—Video Tracking System (SMART30) Harvard Bioscience (<a href="https://www.panlab.com/es/productos/smart-video-tracking-software-panlab" target="_blank">https://www.panlab.com/es/productos/smart-video-tracking-software-panlab</a>, accessed on 14 December 2024). (<b>A</b>) Distance runs in each 10-min interval during the first day (novelty) of the open field maze, <span class="html-italic">Fmr1</span>-KO mice treated with vehicle (<span class="html-italic">n</span> = 10) and 10 mg/kg/day Apocynin (<span class="html-italic">n</span> = 8) covered more distance than WT mice that received the same treatment (<span class="html-italic">n</span> = 8 and <span class="html-italic">n</span> = 7, respectively). However, the <span class="html-italic">Fmr1</span>-KO mice (<span class="html-italic">n</span> = 5) treated with 30 mg/kg/day Apocynin displayed no significant difference between WT (<span class="html-italic">n</span> = 7) mice with the same treatment. (<b>B</b>) Locomotion activity during the 15-min test in the open-field maze in the familiarity environment of Fmr1-KO and WT-control male mice chronically treated with vehicle and 10 mg/kg/day and 30 mg/kg/day Apocynin. Data are presented as mean values of activity ± S.E.M. # <span class="html-italic">p</span> &lt; 0.05 treated-<span class="html-italic">Fmr1</span>-KO versus vehicle-<span class="html-italic">Fmr1</span>-KO; * <span class="html-italic">p</span> &lt; 0.05 Fmr1-KO versus WT-control. Values of <span class="html-italic">p</span> &lt; 0.05 were considered significant. (<b>C</b>) Correction of anxiety with chronic Apocynin treatment. The effects of two concentrations of Apocynin (10 mg/kg/day and 30 mg/kg/day) on the behaviour of <span class="html-italic">Fmr1</span>-KO male mice in the elevated-plus-maze. Vehicle and 10 mg/kg/day Apocynin did not affect anxiety response (average time spent in the open arms was elevated in <span class="html-italic">Fmr1</span>-KO). After chronic daily treatment with 30 mg/kg/day Apocynin, the anxiety response was normalised (significantly affected the amount of time mice spent in the open arms of the maze). The elevated plus maze assesses time spent in the open arm. Data are presented as the mean percentage of time in the open arms ± S.E.M (<span class="html-italic">n</span> = 5–10). # <span class="html-italic">p</span> &lt; 0.05 treated-KO versus vehicle-KO; * <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">Fmr1</span>-KO versus WT-control. Values of <span class="html-italic">p</span> &lt; 0.05 were considered significant.</p>
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<p>(<b>A</b>) The lack of FMRP protein disrupts cued fear conditioning, while chronic treatment with 30 mg/kg/day Apocynin alleviates the learning deficits observed in the <span class="html-italic">Fmr1</span>-KO mouse model. Twenty-four hours after a training session, mice underwent testing for cued fear conditioning. <span class="html-italic">Fmr1</span>-KO groups treated with vehicle or 10 mg/kg/day Apocynin exhibited significantly lower freezing levels during the test compared to the WT-control group. Nevertheless, chronic administration of 30 mg/kg/day Apocynin restored these learning impairments, highlighting hippocampal and amygdala memory deficits in the Fmr1-KO mice. Data are presented as % freezing means ± S.E.M., with a sample size of 5–10 mice per group. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05, where # <span class="html-italic">p</span> &lt; 0.05 indicates differences between treated-KO and vehicle-KO groups; * <span class="html-italic">p</span> &lt; 0.05 indicates differences between <span class="html-italic">Fmr1</span>-KO and WT-control. (<b>B</b>) Learning, encompassing both short-term and long-term memory, was assessed using the object recognition test. High-dose Apocynin treatment reduced the time <span class="html-italic">Fmr1</span>-KO mice spent exploring the novel object compared to vehicle-treated <span class="html-italic">Fmr1</span>-KO mice (# <span class="html-italic">p</span> &lt; 0.05 indicates significant differences between treated-KO and vehicle-KO groups; * <span class="html-italic">p</span> &lt; 0.05 for <span class="html-italic">Fmr1</span>-KO versus WT-control). Data represent the mean object exploration time ± S.E.M. (<span class="html-italic">n</span> = 8–10 mice).</p>
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<p>pERK1/2 and p47 were highly phosphorylated in the brain of Fmr1-KO compared with WT-control mice, and no differences were detected in ERK1/2. The animals treated with a high dose of Apocynin showed a significant reduction of the phosphorylated forms compared with vehicle-treated Fmr1-KO (* <span class="html-italic">p</span> &lt; 0.05 Fmr1-KO versus WT-control; # <span class="html-italic">p</span> &lt; 0.05 Fmr1-KO Apocynin-treated versus vehicle-treated Fmr1-KO). The data in the graph represent the mean ± SEM (<span class="html-italic">n</span> = 4). Whole brains from 4-month-old Fmr1-KO and WT-control mice were lysed as described in Materials and Methods. An amount of 45 μg/lane of protein extracts was subjected to SDS-PAGE, therefore transferred to PVDF membrane, and subsequently probed with anti-phospho-ERK1/2, anti-ERK1/2 or anti-p47, and then, accordingly to the protocol, the corresponding bands were detected by luminol-enhanced chemiluminescence. To verify even protein loading, the blots were subsequently stripped and reprobed with antibodies against β-actin. Blots are representative of a set of two experiments that generated similar results.</p>
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44 pages, 1052 KiB  
Article
Integral Neuron: A New Concept for Nonlinear Neuron Modeling Using Weight Functions—Creation of XOR Neurons
by Kostadin Yotov, Emil Hadzhikolev and Stanka Hadzhikoleva
Mathematics 2024, 12(24), 3982; https://doi.org/10.3390/math12243982 - 18 Dec 2024
Viewed by 179
Abstract
In the present study, an extension of the idea of dynamic neurons is proposed by replacing the weights with a weight function that is applied simultaneously to all neuron inputs. A new type of artificial neuron called an integral neuron is modeled, in [...] Read more.
In the present study, an extension of the idea of dynamic neurons is proposed by replacing the weights with a weight function that is applied simultaneously to all neuron inputs. A new type of artificial neuron called an integral neuron is modeled, in which the total signal is obtained as the integral of the weight function. The integral neuron enhances traditional neurons by allowing the signal shape to be linear and nonlinear. The training of the integral neuron involves finding the parameters of the weight function, where its functional values directly influence the total signal in the neuron’s body. This article presents theoretical and experimental evidence for the applicability and convergence of standard training methods such as gradient descent, Gauss–Newton, and Levenberg–Marquardt in searching for the optimal weight function of an integral neuron. The experimental part of the study demonstrates that a single integral neuron can be trained on the logical XOR function—something that is impossible for single classical neurons due to the linear nature of the summation in their bodies. Full article
(This article belongs to the Section Computational and Applied Mathematics)
15 pages, 285 KiB  
Article
Genetic Profiles of Purine, Uric Acid, Superoxide Dismutase, and Growth in Thai Slow-Growing Chickens
by Wuttigrai Boonkum, Vibuntita Chankitisakul, Srinuan Kananit, Veeraya Tuntiyasawasdikul, Vatsana Sirisan and Wootichai Kenchaiwong
Animals 2024, 14(24), 3658; https://doi.org/10.3390/ani14243658 - 18 Dec 2024
Viewed by 195
Abstract
The objective of this study was to estimate genetic parameters and genetic correlations between growth characteristics and purine and uric acid in the breast and liver and superoxide dismutase (SOD) in the blood. The growth characteristics included body weight (BW) at hatching (BW0), [...] Read more.
The objective of this study was to estimate genetic parameters and genetic correlations between growth characteristics and purine and uric acid in the breast and liver and superoxide dismutase (SOD) in the blood. The growth characteristics included body weight (BW) at hatching (BW0), BW at 2, 4, 6, 8, and 10 weeks of age, average daily gain (ADG) at 0–2, 2–4, 4–6, 6–8, and 8–10 weeks of age, and breast circumference at 6, 8, and 10 weeks of age (BrC6, BrC8, and BrC10) were recorded from 300 Thai native chickens (Shee breed). In total, 30 chickens (15 males and 15 females) were randomly euthanized to collect breast meat, liver, and blood samples to determine the purine content. A multiple-trait animal model and an average information-restricted maximum likelihood (AI-REML) were used to estimate the variance components and genetic parameters. The estimated heritability values for all growth traits were moderate and ranged from 0.304 to 0.485, 0.270 to 0.335, and 0.286 to 0.314 for BW, ADG, and BrC, respectively. The estimated heritability values for various biochemical traits, including purine content, uric acid, and SOD levels, were low to moderate and ranged from 0.035 to 0.143, and 0.050 to 0.213 in breast meat and liver, respectively. In genetic correlations, total purine content showed a strong negative correlation with growth traits, whereas uric acid and SOD levels exhibited varying degrees of correlation with BW and ADG. These results highlight the importance of genetic parameters between growth and biochemical traits in Thai native chickens and provide valuable insights for breeding programs aimed at improving growth performance and meat quality. This study indicated the potential use of heritability values and genetic correlations to enhance selective breeding strategies using the multiple-trait genetic evaluation method for optimal trait combinations in poultry. Full article
12 pages, 1071 KiB  
Case Report
Monitoring of Training Load and Body Composition in Elite Male Kayakers
by José Augusto Rodrigues dos Santos, Giorjines Boppre and Rodrigo Zacca
Appl. Sci. 2024, 14(24), 11826; https://doi.org/10.3390/app142411826 - 18 Dec 2024
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Abstract
Background: Elite kayaking demands peak conditioning, and tracking these athletes reveals the science behind world-class performance. Physiological demands and body composition changes in elite male kayakers were tracked during the preparatory and transition periods of a kayaking competitive season. Methods: Laboratory (body composition [...] Read more.
Background: Elite kayaking demands peak conditioning, and tracking these athletes reveals the science behind world-class performance. Physiological demands and body composition changes in elite male kayakers were tracked during the preparatory and transition periods of a kayaking competitive season. Methods: Laboratory (body composition assessment and a 4 min all-out test in a kayak ergometer) on-field tests (4 × 1500 m incremental intermittent protocol with 30 s rest intervals in a kayaking/rowing track) were applied on separate days to follow eight elite male kayakers (23.1 ± 5.6 y; 80 ± 8.8 kg; 177.0 ± 6.8 cm) at the beginning of the kayaking season (preparatory period, M1; first week of October), 22 weeks later, at the beginning of the transition period (M2; last week of February), and 5 weeks later, at the end of the transition period, i.e., beginning of the competitive period of the season (M3; first week of April). M3 corresponded to the participation in international competitions. Results: Distance at peak oxygen uptake (V˙O2peak) on the kayak ergometer improved by 36.7 m from M1 to M3, the pace at V4 (aerobic capacity) was reduced (improved) by 25.2 s·km−1 from M1 to M2, and 25.6 s·km−1 by M3. Body weight decreased by 2.3 kg from M1 to M2, and fat mass percentage and kilograms decreased by 1.8% and 3.1%, respectively. Fat-free mass increased by 1.9% and 3.1%, respectively. Skinfold measurements showed a decrease in subscapular, suprailiac, abdominal, and geminal skinfold. Aerobic power (V˙O2peak) in absolute values (in L·min−1) improved by 0.7 L·min−1 from M1 to M2, and by 1.1 L·min−1 by M3, and from M2 to M3 was ~0.5 L·min−1. Aerobic power in relative values improved by 15.0 from M1 to M2, and by 6.4 mL·kg−1·min−1 from M2 to M3. Conclusions: Elite male kayakers improved their physiological performance and body composition during the preparatory and transition phases of the competitive season. Notable gains in performance were mainly due to enhanced aerobic power, and positive body composition changes. These findings provide insights for optimizing training strategies and boosting competitive performance. Full article
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<p>Study design.</p>
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<p>Percentage changes from baseline to the preparatory and transition periods of a competitive season of elite male kayakers (N = 8).</p>
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12 pages, 2309 KiB  
Article
Evaluation of the Body Burden of Short- and Medium-Chain Chlorinated Paraffins in the Blood Serum of Residents of the Czech Republic
by Denisa Parizkova, Aneta Sykorova, Jakub Tomasko, Ondrej Parizek and Jana Pulkrabova
J. Xenobiot. 2024, 14(4), 2003-2014; https://doi.org/10.3390/jox14040107 - 18 Dec 2024
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Abstract
Short- and medium-chain chlorinated paraffins (SCCPs and MCCPs) are environmental contaminants known for their persistence and bioaccumulation in fatty tissues. SCCPs are considered potential carcinogens and endocrine disruptors, with similar effects expected for MCCPs. This study investigated the body burden of SCCPs and [...] Read more.
Short- and medium-chain chlorinated paraffins (SCCPs and MCCPs) are environmental contaminants known for their persistence and bioaccumulation in fatty tissues. SCCPs are considered potential carcinogens and endocrine disruptors, with similar effects expected for MCCPs. This study investigated the body burden of SCCPs and MCCPs in residents of two regions of the Czech Republic with different levels of industrial pollution. Blood serum samples from 62 individuals in Ceske Budejovice (control area) and Ostrava (industrial area) were analysed. The results showed higher concentrations of SCCPs (<120–650 ng/g lipid weight (lw)) and MCCPs (<240–1530 ng/g lw) in Ostrava compared to Ceske Budejovice (SCCPs: <120–210 ng/g lw, MCCPs: <240–340 ng/g lw). The statistical analysis revealed no significant correlations between chemical concentrations and demographic variables such as age, BMI, or gender. The findings are consistent with European and Australian studies but significantly lower than levels reported in China. This is the first comprehensive survey of SCCPs and MCCPs in human blood serum in the Czech Republic and the second study in Europe. The data collected in this study are essential for assessing SCCPs and MCCPs. They will contribute to a better understanding the potential health risks associated with exposure to these chemicals. Full article
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<p>The frequency of findings above the LOQ/LOD values (<b>a</b>) The frequency of findings above the LOQ/LOD of SCCPs in control area (Ceske Budejovice) and industrial area (Ostrava); (<b>b</b>) The frequency of findings above the LOQ/LOD of MCCPs in control area (Ceske Budejovice) and industrial area (Ostrava).</p>
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<p>Concentrations of SCCPs and MCCPs in blood serum in both localities. The boxplots illustrate the lower quartile (25% of the results, Q1) or the value that defines the lowest quarter of the values, and the upper quartile (75% of the results, Q3) or the value that separates the highest quarter. The so-called “whiskers” indicate the minimum and maximum values that fall within a range that results from multiplying the value by 1.5 and the variance between Q3 and Q1. The values outside the boxplot with whiskers are outliers (circle). The line between Q1 and Q3 indicates the median, while the cross in this case indicates the mean value.</p>
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<p>Concentration of SCCPs and MCCPs in blood serum by gender (<b>a</b>), concentration of SCCPs and MCCPs in blood serum in age groups (<b>b</b>) and concentration of SCCPs and MCCPs in blood serum in BMI groups (<b>c</b>). The boxplots illustrate the lower quartile (25% of the results, Q1) or the value that defines the lowest quarter of the values, and the upper quartile (75% of the results, Q3) or the value that separates the highest quarter. The so-called “whiskers” indicate the minimum and maximum values that fall within a range that results from multiplying the value by 1.5 and the variance between Q3 and Q1. The values outside the boxplot with whiskers are outliers (circle). The line between Q1 and Q3 indicates the median, while the cross in this case indicates the mean value.</p>
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<p>Relative abundance of CPs (<b>a</b>) Relative abundance of SCCPs congener groups in blood serum samples from the Czech Republic; (<b>b</b>) Relative abundance of MCCPs congener groups in blood serum samples from the Czech Republic.</p>
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<p>Comparison of SCCP and MCCP concentrations in blood serum based on published studies.</p>
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18 pages, 28989 KiB  
Article
In Vitro Evaluation of Probiotic Activities and Anti-Obesity Effects of Enterococcus faecalis EF-1 in Mice Fed a High-Fat Diet
by Hongying Cai, Qingya Wang, Xiling Han, Haiou Zhang, Na Wang, Yuyin Huang, Peilong Yang, Rui Zhang and Kun Meng
Foods 2024, 13(24), 4095; https://doi.org/10.3390/foods13244095 - 18 Dec 2024
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Abstract
This research sought to assess the anti-obesity potential of Enterococcus faecalis EF-1. An extensive and robust in vitro methodology confirmed EF-1’s significant potential in combating obesity, probably due to its excellent gastrointestinal tract adaptability, cholesterol-lowering property, bile salt hydrolase activity, α-glucosidase inhibition, and [...] Read more.
This research sought to assess the anti-obesity potential of Enterococcus faecalis EF-1. An extensive and robust in vitro methodology confirmed EF-1’s significant potential in combating obesity, probably due to its excellent gastrointestinal tract adaptability, cholesterol-lowering property, bile salt hydrolase activity, α-glucosidase inhibition, and fatty acid absorption ability. Moreover, EF-1 exhibited antimicrobial activity against several pathogenic strains, lacked hemolytic activity, and was sensitive to all antibiotics tested. To further investigate EF-1’s anti-obesity properties in vivo, a high-fat diet (HFD) was used to induce obesity in C57BL/6J mice. Treatment with EF-1 (2 × 109 CFU/day) mitigated HFD-induced body weight gain, reduced adipose tissue weight, and preserved liver function. EF-1 also ameliorated obesity-associated microbiota imbalances, such as decreasing the Firmicutes/Bacteroidetes ratio and boosting the levels of bacteria (Faecalibacterium, Mucispirillum, Desulfovibrio, Bacteroides, and Lachnospiraceae_NK4A136_group), which are responsible for the generation of short-chain fatty acids (SCFAs). Concurrently, the levels of total SCFAs were elevated. Thus, following comprehensive safety and efficacy assessments in vitro and in vivo, our results demonstrate that E. faecalis EF-1 inhibits HFD-induced obesity through the regulation of gut microbiota and enhancing SCFA production. This strain appears to be a highly promising candidate for anti-obesity therapeutics or functional foods. Full article
(This article belongs to the Special Issue Functional Foods and Their Benefits for Health Regulation)
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<p>Visual representation of BSH acidity of <span class="html-italic">E. faecalis</span> EF-1.</p>
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<p>Detection result of hemolysis test.</p>
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<p>The effect of <span class="html-italic">E. faecalis</span> EF-1 intervention on HFD-induced obese mice. (<b>A</b>) The average food intake across the weeks. (<b>B</b>) Body weight variations throughout the weeks. (<b>C</b>) The organ index (liver, white adipose tissue, kidney, and spleen). CT refers to the control group, HFD to the high-fat diet group, PC to the positive group, and EF-1 to the <span class="html-italic">E. faecalis</span> EF-1 intervention group. <span class="html-italic">n</span> = 8 mice per group. The symbols *, **, and *** indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 levels, respectively, when comparing the HFD and CT groups. Similarly, the symbol # denotes significant differences at <span class="html-italic">p</span> &lt; 0.05 for the comparison between the EF-1 and HFD groups or between the PC and HFD groups.</p>
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<p><span class="html-italic">E. faecalis</span> EF-1 alleviated serum and liver biochemical indices in obese mice fed a HFD. (<b>A</b>) The role of <span class="html-italic">E. faecalis</span> EF-1 in altering serum biochemical indices. (<b>B</b>) The role of <span class="html-italic">E. faecalis</span> EF-1 in altering liver biochemical indices. (<b>C</b>) The observation of liver tissues stained with Oil Red O, with a scale reference of 100 μm. <span class="html-italic">n</span> = 8 mice per group. The symbols *, **, and *** indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.001 levels, respectively, when comparing the HFD and CT groups. Similarly, the symbols #, ##, and ### denote significant differences at the same significance levels for the comparison between the EF-1 and HFD groups or between the PC and HFD groups.</p>
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<p><span class="html-italic">E. faecalis</span> EF-1 intervention alleviated the pathological state of the liver and WATs in mice fed a HFD. H&amp;E staining of liver tissue (<b>A</b>) and WATs (<b>B</b>), with a scale reference of 100 μm. <span class="html-italic">n</span> = 4 mice per group.</p>
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<p>The effect of <span class="html-italic">E. faecalis</span> EF-1 on the structure of gut microbiota. (<b>A</b>) The Chao 1 index. (<b>B</b>) The ACE index. (<b>C</b>) The Simpson index. (<b>D</b>) The Shannon index. (<b>E</b>) PCoA analysis. (<b>F</b>) The relative abundance of gut microbiota at the phylum level. (<b>G</b>) A heatmap displaying the hierarchical clustering of bacterial genera profiles at the genus level. <span class="html-italic">n</span> = 5 mice per group. Differences that are significant at the <span class="html-italic">p</span> &lt; 0.05 level between EF-1 and HFD groups are marked with #.</p>
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<p>Effects of <span class="html-italic">E. faecalis</span> EF-1 intervention on SCFA production. <span class="html-italic">n</span> = 5 mice per group. The symbols * and ** indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively, when comparing HFD and CT groups. Similarly, the symbols # and ## denote significant differences at the same significance levels for the comparison between the EF-1 and HFD groups.</p>
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12 pages, 1185 KiB  
Article
Hydroxylated-Benz[a]anthracenes Induce Two Apoptosis-Related Gene Expressions in the Liver of the Nibbler Fish Girella punctata
by Muhammad Ahya Rafiuddin, Hajime Matsubara, Kaito Hatano, Masato Honda, Kenji Toyota, Kouhei Kuroda, Keito Tsunoda, Yukihiro Furusawa, Yoshiaki Tabuchi, Tetsushi Hirano, Akihiro Sakatoku, Chun-Sang Hong, Ajai K. Srivastav, Thumronk Amornsakun, Nobuaki Shimizu, Mohamed I. Zanaty, Tatsuo Harumi, Kohei Yamauchi, Tamás Müller, Ning Tang, Atsuhiko Hattori, Kazuichi Hayakawa and Nobuo Suzukiadd Show full author list remove Hide full author list
Toxics 2024, 12(12), 915; https://doi.org/10.3390/toxics12120915 - 18 Dec 2024
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Abstract
Polycyclic aromatic hydrocarbons (PAHs) are known to have toxic effects on fish. In this study, we examined the effects of benz[a]anthracene (BaA), a type of PAH, on fish liver metabolism. Nibbler fish (Girella punctata) were intraperitoneally injected with BaA (10 ng/g [...] Read more.
Polycyclic aromatic hydrocarbons (PAHs) are known to have toxic effects on fish. In this study, we examined the effects of benz[a]anthracene (BaA), a type of PAH, on fish liver metabolism. Nibbler fish (Girella punctata) were intraperitoneally injected with BaA (10 ng/g body weight) four times over a 10-day period. BaA significantly decreased known bone metabolism-related plasma factors such as calcium and inorganic phosphorus. Moreover, significant reductions were observed in the plasma levels of known liver metabolism-related factors, including ferrous ions, total bile acids, total bilirubin, free bilirubin, aspartate aminotransferase, and alkaline phosphatase. Interestingly, mono-hydroxylated metabolites of BaA, such as 3 hydroxylbenz[a]anthracene (3-OHBaA), were detected in the bile of BaA-injected nibbler fish. This hydroxylated form of BaA was found in its free form, rather than conjugated with glucuronic acid or sulfuric acid. Due to the lack of whole-genome sequence data for the nibbler fish, two nibbler fish-specific apoptosis-related factors (TNF receptor superfamily member 1A: tnfrsf1a and TNF superfamily member 10: tnfsf10) were isolated by De novo RNA sequencing. In a liver tissue culture, 3-OHBaA (10−6 M) significantly upregulated the expression of tnfrsf1a and tnfsf10 in the liver. These results provide the first evidence that 3-OHBaA metabolites exhibit toxic effects on the liver in teleost. Full article
(This article belongs to the Section Human Toxicology and Epidemiology)
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<p>Effects of BaA on plasma Ca<sup>2+</sup> (<b>a</b>), iP (<b>b</b>), and Fe<sup>2+</sup> (<b>c</b>) levels in BaA-treated nibbler fish. Plasma Ca<sup>2+</sup>, iP and Fe<sup>2+</sup> in the saline-treated control group (n = 11) are shown in white columns, and those in the BaA-treated experimental group (n = 12) are shown in black columns. Statistically significant differences, denoted by asterisks, were observed at <span class="html-italic">p</span> &lt; 0.05 and were found when compared to the control group.</p>
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<p>Effects of BaA on plasma total bile acid (<b>a</b>), total bilirubin (<b>b</b>), and free bilirubin (<b>c</b>) levels in the BaA-treated nibbler fish. Plasma total bile acid, total bilirubin, and free bilirubin in the saline-treated control group (n = 11) are shown in white columns, and those in the BaA-treated experimental group (n = 12) are shown in black columns. Statistically significant differences, indicated by asterisks (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01), were found when compared to the control group.</p>
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<p>Effects of BaA on plasma AST (<b>a</b>) and ALP (<b>b</b>) activities in BaA-treated nibbler fish. Plasma activities of AST and ALP in the saline-treated control group (n = 11) are shown in white columns, and those in the BaA-treated experimental group (n = 12) are shown in black columns. Statistically significant differences, indicated by asterisks (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01), were observed when compared to the control group.</p>
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<p>Detection of 3-OHBaA in the bile of BaA-treated nibbler fish. 3-OHBaA in the bile was not found in controls (n = 11) and was only identified in BaA-treated fish (red: n = 12). Standard 3-OHBaA solution shown by blue line.</p>
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<p>Effects of 3-OHBaA on two apoptosis-related gene expressions in the cultured liver of nibbler fish. The expression of <span class="html-italic">tnfrsf1a</span> (<b>a</b>) and t <span class="html-italic">tnfsf10</span> (<b>b</b>) in the liver is shown in white columns for the control group (n = 5) and black columns for the experimental group (n = 5). Statistically significant differences, indicated by asterisks, were observed at <span class="html-italic">p</span> &lt; 0.05 compared to the control group.</p>
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12 pages, 1834 KiB  
Article
Assessment of the Diagnostic Performance of MUAC in Malnutrition Screening and Its Correlation with Other Anthropometric Indicators in Healthy Children and Adolescents
by Hatice Esra Durukan, Burçe Emine Dörtkardeşler, Merve Tosyalı, Şule Gökçe, Nuri Zafer Kurugöl and Feyza Koç
Children 2024, 11(12), 1535; https://doi.org/10.3390/children11121535 - 18 Dec 2024
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Abstract
Background/Objectives: This study aimed to evaluate the correlation of mid-upper arm circumference (MUAC) z-scores with body mass index (BMI) and weight-for-height (WFH) z-scores to determine its reliability in identifying malnutrition and its potential in clinical practice in healthy children and adolescents. Methods: Our [...] Read more.
Background/Objectives: This study aimed to evaluate the correlation of mid-upper arm circumference (MUAC) z-scores with body mass index (BMI) and weight-for-height (WFH) z-scores to determine its reliability in identifying malnutrition and its potential in clinical practice in healthy children and adolescents. Methods: Our study included 906 healthy children and adolescents aged between 2 months and 18 years who were admitted to University Hospital’s General Pediatrics Clinic and attended 12 primary schools in 6 additional Izmir provinces. Anthropometric measurements (weight, length/standing height, MUAC, BMI, WFH) were performed. The relationship between MUAC z-scores, BMI, and WFH z-scores of cases with malnutrition were evaluated. Results: According to the WHO BMI z-score classification, 6 (0.7%) of the children were defined as having severe undernutrition, 43 (4.7%) as moderate undernutrition, 146 (16.1%) as mild undernutrition, 486 (53.6%) as normal, 142 (15.7%) as overweight, and 83 (9.2%) as obese. At any age over two years, fair agreement was observed between MUAC z-scores and WHO BMI z-scores in defining malnutrition alone compared to other growth measures (weighted kappa = 0.371). Under two years of age, the correlation between MUAC z-scores and BMI z-scores showed moderate agreement in detecting overweight and obesity (weighted kappa = 0.479), and between MUAC and WHO WFH z-scores showed moderate agreement (kappa = 0.252). Conclusions: The study found a moderate and fair connection between MUAC z-scores and other criteria. However, further MUAC z-score screening and diagnostic power testing in larger pediatric populations are needed to validate its use alongside other key anthropometric indicators in malnutrition diagnosis. MUAC measurement should be popularized in routine pediatric outpatient clinics to detect malnutrition quickly. Full article
(This article belongs to the Section Global Pediatric Health)
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<p>Prototype MUAC Z-score tape [<a href="#B13-children-11-01535" class="html-bibr">13</a>].</p>
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