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Search Results (389)

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15 pages, 17991 KiB  
Article
Non-Targeted Metabolome Analysis with Low-Dose Selenate-Treated Arabidopsis
by Hongqiao Li, Tetsuya Mori, Rintaro Moriyama, Moeka Fujita, Genki Hatanaka, Naoki Shiotsuka, Ryota Hosomi and Akiko Maruyama-Nakashita
Plants 2025, 14(3), 322; https://doi.org/10.3390/plants14030322 (registering DOI) - 22 Jan 2025
Abstract
Selenate, the most common form of selenium (Se) in soil environments, is beneficial for higher plants. Selenate is similar to sulfate in terms of the structure and the manner of assimilation by plants, which involves the reduction of selenate to selenide and the [...] Read more.
Selenate, the most common form of selenium (Se) in soil environments, is beneficial for higher plants. Selenate is similar to sulfate in terms of the structure and the manner of assimilation by plants, which involves the reduction of selenate to selenide and the replacement of an S moiety in the organic compounds such as amino acids. The nonspecific incorporation of seleno-amino acids into proteins induce Se toxicity in plants. Selenate alters the plant metabolism, particularly the S metabolism, which is comparable to the responses to S deficiency (−S). However, previous analyses involved high concentrations of selenate, and the effects of lower selenate doses have not been elucidated. In this study, we analyzed the metabolic changes induced by selenate treatment through a non-targeted metabolome analysis and found that 2 µM of selenate decreased the S assimilates and amino acids, and increased the flavonoids, while the glutathione levels were maintained. The results suggest that the decrease in amino acid levels, which is not detected under −S, along with the disruptions in S assimilation, amino acid biosynthesis pathways, and the energy metabolism, present the primary metabolic influences of selenate. These results suggest that selenate targets the energy metabolism and S assimilation first, and induces oxidative stress mitigation, represented by flavonoid accumulation, as a key adaptive response, providing a novel, possible mechanism in plant stress adaptation. Full article
(This article belongs to the Special Issue Advances in Plant and Food Metabolomics)
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Figure 1
<p>The effects of different concentrations of selenate on plant growth and low-S-inducible gene expressions. Plants were grown for 2 weeks on an agar medium supplemented with various concentrations of K<sub>2</sub>SeO<sub>4</sub> (0, 2, 10, 20, and 50 μM). RNA was extracted from the plants exposed to 0, 2, and 10 μM of selenate and analyzed via quantitative RT-PCR. (<b>A</b>) Representative plant image (top). Shoot (left graph) and root (middle graph) fresh weights, and root-to-shoot ratios (right graph). Bars represent mean ± SE (n = 3). One-way ANOVA followed by the Tukey–Kramer test was performed; significant differences (<span class="html-italic">p</span> &lt; 0.05) are indicated by distinct letters. (<b>B</b>) Transcript levels of <span class="html-italic">BGLU28</span>, <span class="html-italic">APR3</span>, <span class="html-italic">SULTR1;1</span>, and <span class="html-italic">SULTR1;2</span> in the shoots and roots with different treatments. Relative mRNA levels were calculated using the ΔΔCt method, with <span class="html-italic">ACT2</span> as an internal control. Bars represent mean ± SE (n = 3). Asterisks denote significant differences compared to the control (0 μM) (Dunnett’s test; * 0.05 ≤ <span class="html-italic">p</span> &lt; 0.1).</p>
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<p>Metabolomic changes caused by selenate. Plants were grown for 2 weeks on agar media supplemented with 0 or 2 μM of selenate (K<sub>2</sub>SeO<sub>4</sub>). After freeze-drying, the samples were subjected to non-targeted metabolome analysis using LCMS. Peak picking and peak annotation to a metabolite were performed as described in the Materials and Methods section. (<b>A</b>) PCA of the metabolites detected in the plants grown in the presence of 0 and 2 μM of selenate. (<b>B</b>) Metabolites significantly influenced by the 2 μM selenate treatment. We selected the metabolites with PC1 loading values of &gt;0.5 or &lt;−0.5 and curated them for their identities. P and N in the metabolite ID column represent positive and negative ion modes; RT, retention time (min); PC1, loading values for PC1 with the color gradient from magenta to blue representing most minus to most plus values; MSI level [<a href="#B18-plants-14-00322" class="html-bibr">18</a>], metabolites defined by the authentic standard or the MS/MS spectra from the references [<a href="#B19-plants-14-00322" class="html-bibr">19</a>,<a href="#B20-plants-14-00322" class="html-bibr">20</a>,<a href="#B21-plants-14-00322" class="html-bibr">21</a>,<a href="#B22-plants-14-00322" class="html-bibr">22</a>,<a href="#B23-plants-14-00322" class="html-bibr">23</a>]; Ref, reference. −Se, +Se, average of the metabolite intensities when plants were grown 0, 2 µM of selenate with the color gradient from blue to orange representing the lowest to the highest; +Se/−Se, The ratio of intensities between +Se and −Se with the color gradient from green to orange representing the lowest to the highest.</p>
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<p>Effects of selenate on the S-, Se-, N-containing metabolite levels in <span class="html-italic">Arabidopsis thaliana</span>. Plants were grown for 2 weeks on agar media supplemented with 0 or 2 μM of selenate (K<sub>2</sub>SeO<sub>4</sub>). After freeze-drying, the samples were used for the metabolite analysis, as described in the Materials and Methods section. (<b>A</b>) The total S and S contents in protein fractions of the plants grown under 0 or 2 μM of selenate. (<b>B</b>) Sulfate, cysteine, and glutathione contents in the plants. (<b>C</b>) Glucosinolate contents in the plants. (<b>D</b>) Camalexin content in the plants. (<b>E</b>) Amino acid content in the plants. (<b>F</b>) Total Se, Se contents in the protein fractions, and selenocysteine (SeCys), selenite, and selenate contents in the plants. Bars and error bars represent the mean and standard error (n = 3), respectively. Asterisks indicate significant differences between the two conditions, as determined by Student’s <span class="html-italic">t</span>-test (*** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Changes in the metabolite profiles in plants induced by the selenate treatment. Metabolites exhibiting significantly increased and decreased levels are indicated by orange boxes and green boxes, respectively, and the fold changes are indicated by the color gradient, as shown with the boxes on the bottom. Metabolites that were not changed or detected are indicated by open boxes or no background, respectively. Asp and Glu were categorized in the no-change group, as their increase and decrease were not identical between the LCMS and HPLC analyses (<a href="#plants-14-00322-f002" class="html-fig">Figure 2</a>B and <a href="#plants-14-00322-f003" class="html-fig">Figure 3</a>E; <a href="#app1-plants-14-00322" class="html-app">Tables S1 and S2</a>). Continuous arrows represent one-step reactions and dashed arrows indicate a series of biochemical reactions.</p>
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21 pages, 3275 KiB  
Article
Diet, Advanced Maternal Age, and Neonatal Outcomes: Results from the GESTAGE Study
by Maria Puche-Juarez, Juan M. Toledano, Daniel Hinojosa-Nogueira, Catalina de Paco Matallana, Javier Sánchez-Romero, Julio J. Ochoa, Maria Paz Carrillo, Estefanía Martín-Álvarez, Javier Diaz-Castro and Jorge Moreno-Fernandez
Nutrients 2025, 17(2), 321; https://doi.org/10.3390/nu17020321 - 17 Jan 2025
Viewed by 438
Abstract
Maternal nutrition during pregnancy plays a pivotal role in influencing both maternal and fetal health, impacting neonatal anthropometric outcomes and long-term disease susceptibility. An advanced maternal age (AMA ≥ 35 years) has been linked to increased risks of obstetric complications and adverse neonatal [...] Read more.
Maternal nutrition during pregnancy plays a pivotal role in influencing both maternal and fetal health, impacting neonatal anthropometric outcomes and long-term disease susceptibility. An advanced maternal age (AMA ≥ 35 years) has been linked to increased risks of obstetric complications and adverse neonatal outcomes, yet its specific nutritional profile remains underexplored. Background/Objectives: This study aimed to evaluate the nutrient and polyphenol intakes of women at an AMA compared to those of a younger control group and to investigate associations with neonatal anthropometric measures. Methods: A cohort of 200 pregnant women, stratified into AMA and control groups, completed a food frequency questionnaire during the second trimester. Neonatal anthropometric data were collected at delivery. Results: Intakes of fiber, zinc, copper, selenium, vitamins E, B1, B3 and folate were lower in the AMA group in comparison with the control values. Negative correlations were found between fiber, vitamin A and vitamin E and the head circumference of the newborn, with fiber being identified as a potential predictor of this parameter. Conclusions: Despite some limitations, such as the fact that the FFQ was completed only once during pregnancy and the cross-sectional design of the study, the findings highlight notable nutritional deficiencies among AMA women, which may influence neonatal outcomes such as head circumference. These results underscore the need for nutritional guidelines and supplementation strategies tailored to pregnant women over 35 years of age. Full article
(This article belongs to the Section Nutrition in Women)
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Graphical abstract

Graphical abstract
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<p>AMA: advanced maternal age; ns: not significant. Comparison between control and AMA at groups of food level, assessed by a food frequency questionnaire.</p>
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<p>AMA: advanced maternal age; ns: not significant. Comparison between groups of the mean intake macronutrients, evaluated by <span class="html-italic">t</span>-test or U-Mann–Whitney (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>AMA: advanced maternal age; DRV: dietary reference value. Comparison of the mean intake of nutrients by group, with the dietary reference values (DRVs) from the AESAN.</p>
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<p>Correlations between energy and macronutrients, including fiber, and anthropometric measures of the newborn (* <span class="html-italic">p</span> &lt; 0.05, in red square).</p>
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<p>Correlations between vitamins and anthropometric measures of the newborn (* <span class="html-italic">p</span> &lt; 0.05, in red square).</p>
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<p>Regression model and linear regression found between fiber and head circumference.</p>
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19 pages, 5945 KiB  
Article
The Inhibitory Effects of NCT503 and Exogenous Serine on High-Selenium Induced Insulin Resistance in Mice
by Shuo Zhan, Jianrong Wang, Mingyu Zhu, Yiqun Liu, Feng Han, Licui Sun, Qin Wang and Zhenwu Huang
Nutrients 2025, 17(2), 311; https://doi.org/10.3390/nu17020311 - 16 Jan 2025
Viewed by 308
Abstract
Objective: This study aims to identify whether the development of insulin resistance (IR) induced by high selenium (Se) is related to serine deficiency via the inhibition of the de novo serine synthesis pathway (SSP) by the administrations of 3-phosphoglycerate dehydrogenase (PHGDH) inhibitor (NCT503) [...] Read more.
Objective: This study aims to identify whether the development of insulin resistance (IR) induced by high selenium (Se) is related to serine deficiency via the inhibition of the de novo serine synthesis pathway (SSP) by the administrations of 3-phosphoglycerate dehydrogenase (PHGDH) inhibitor (NCT503) or exogenous serine in mice. Method: forty-eight male C57BL/6J mice were randomly divided into four groups: adequate-Se (0.1 mgSe/kg), high-Se (0.8 mgSe/kg), high-Se +serine (240 mg/kg/day), and high-Se +NCT503 (30 mg/kg, twice a week) for 5 months. The glucose tolerance test (GTT) and insulin tolerance test (ITT) were used to confirm the development of IR in mice with high-Se intake, and fasting blood glucose levels were measured monthly. The Se contents in plasma and tissues were detected by ICP-MS. The levels of insulin (INS), homocysteine (HCY), and serine in plasma were tested by ELISA. Western blot analyses were conducted to evaluate the protein expressions of glutathione peroxidase 1 (GPX1), selenoprotein P (SELENOP) and PHGDH, the PI3K-AKT-mTOR pathway, folate cycle (SHMT1, MTHFR), and methionine cycle (MS). Results: An IR model was developed in mice from the high-Se group with elevated fasting blood glucose and INS levels, impaired glucose tolerance, and reduced insulin sensitivity, but not in both the high-Se +serine group and the high-Se +NCT503 group. Compared with the high-Se and high-Se +serine groups, the expressions of GPX1 and SELENOP significantly decreased for the high-Se +NCT503 group in the liver, muscle, and pancreas tissues. The expression of PHGDH of high-Se group was significantly higher than that of the adequate-Se group in the liver (p < 0.05) and pancreas (p < 0.001). Also, the expected high expression of PHGDH was effectively inhibited in mice from the high-Se +serine group but not from the high-Se +NCT503 group. The expression of p-AKT (Ser-473) for the high-Se group was significantly lower than that of the adequate-Se group in the liver, muscle, and pancreas. Conclusions: The IR induced by high-Se intake in the body has been confirmed to be partially due to serine deficiency, which led to the initiation of SSP to produce endogenous serine. The supplementations of exogenous serine or inhibitors of PHGDH in this metabolic pathway could be used for the intervention. Full article
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<p>Animal experiment flowchart.</p>
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<p>Effects of selenium levels (0.1, 0.8 mg Se/kg) and interventions (Ser, NCT503) on weight, glucose metabolism, GTT, and ITT in C57BL/6J mice. (<b>a</b>) Changes in body weight over 5 months. (<b>b</b>) Fasting blood glucose levels measured monthly. (<b>c</b>) Glucose tolerance assessed at the end of the fourth month. (<b>d</b>) Insulin tolerance evaluated at the end of the fourth month. (Data are expressed as mean ± SD, n = 10–12). (* <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, **** <span class="html-italic">p</span> &lt; 0.0001; two-way ANOVA). Both Ser and NCT503 effectively mitigate Se-induced metabolic disturbances, with Ser showing a more substantial improvement in body weight and blood glucose regulation.</p>
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<p>Effects of selenium levels (0.1 mg and 0.8 mg Se/kg) and interventions (Ser, NCT503) on plasma biochemical markers in C57BL/6J mice. (<b>a</b>–<b>c</b>) Changes in plasma biochemical markers: (<b>a</b>) insulin (INS, mIU/L), (<b>b</b>) homocysteine (Hcy, µmol/L), amd (<b>c</b>) serine (Ser, µmol/L). (<b>d</b>) Selenium levels in plasma, liver, muscle, and pancreas. (<b>e</b>) PHGDH enzyme activity in plasma, liver, muscle, and pancreas. (Data are expressed as mean ± SD, n = 7). (*** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001; two-way ANOVA). Supplementation with Ser and NCT503 modulates biochemical markers and PHGDH enzyme activity. Ser supplementation lowers INS and HCY levels, while NCT503 decreases INS and serine levels, and increases HCY levels. The NCT503 inhibitor has a stronger inhibitory effect on PHGDH enzyme activity.</p>
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<p>Effect of 0.1, 0.8 mg Se/kg and Ser or NCT503 intervention group on the Expressions of selenoproteins and enzymes in Liver Tissue. (<b>a</b>) WB images. (<b>b</b>–<b>g</b>) grayscale analysis. (Mean ± SD, n = 3, * <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; two-way ANOVA). NCT503 and Ser differentially modulate liver enzyme expression, with NCT503 enhancing PHGDH activity and reducing SELENOP, while Ser primarily decreases MS expression.</p>
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<p>Effect of 0.1, 0.8 mg Se/kg and Ser or the NCT503 intervention group on the expressions of selenoproteins and enzymes in muscle Tissue. (<b>a</b>) WB images. (<b>b</b>–<b>g</b>) grayscale analysis. (Mean ± SD, n = 3, * <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; two-way ANOVA). NCT503 reduces GPX1 and SELENOP expression in muscle, while Ser mainly reduces MS expression.</p>
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<p>Effect of 0.1, 0.8 mg Se/kg and Ser or the NCT503 intervention group on the expression of selenoproteins and enzymes in Mouse pancreas Tissue. (<b>a</b>) WB images. (<b>b</b>–<b>f</b>) grayscale analysis. (Mean ± SD, n = 3, * <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; two-way ANOVA). NCT503 increases PHGDH expression in the pancreas, while Ser primarily reduces SHMT1 expression.</p>
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<p>Effects of 0.1, 0.8 mg Se/kg, and Ser or the NCT503 intervention group on the PI3K-AKT-mTOR pathway in mice liver. (<b>a</b>) WB images. (<b>b</b>–<b>f</b>) Pathway grayscale analysis (Mean ± SD, n = 3, * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001; two-way ANOVA). Ser and NCT503 supplementation modulate mTOR expression in the liver, with NCT503 and Ser both enhancing mTOR signaling.</p>
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<p>Effects of 0.1, 0.8 mg Se/kg, and Ser or the NCT503 intervention group on the PI3K-AKT-mTOR pathway in mice muscle. (<b>a</b>) WB images. (<b>b</b>–<b>f</b>) Pathway grayscale analysis (Mean ± SD, n = 3, * <span class="html-italic">p</span> &lt; 0.05; two-way ANOVA). While Ser and NCT503 supplementation slightly increased Akt/mTOR pathway markers in muscle, these changes were not significant.</p>
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<p>Effects of 0.1, 0.8 mg Se/kg, and Ser or the NCT503 intervention group on the PI3K-AKT-mTOR pathway in mice muscle pancreas. (<b>a</b>) WB images. (<b>b</b>–<b>f</b>) Pathway grayscale analysis (Mean ± SD, n = 3, * <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; two-way ANOVA). Both Ser and NCT503 supplementation restored Akt/mTOR signaling in the pancreas, with significant increases in mTOR and phosphorylated Akt levels compared to the high-Se group.</p>
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<p>The SSP supports selenium detoxification and metabolic balance. The SSP plays a pivotal role in maintaining redox balance, supporting methylation reactions, and facilitating selenium detoxification under high selenium conditions. Increased PHGDH expression drives serine production, replenishing SAM for methylation and promoting GSH synthesis to combat oxidative stress. Excessive SSP activation burdens the methionine and folate cycles, depleting SAM and disrupting methylation homeostasis. Serine supplementation alleviates these effects by restoring one-carbon metabolism and enhancing selenium detoxification. Similarly, pharmacological inhibition of PHGDH (e.g., NCT-503) reduces SSP overactivation, highlighting its potential as a therapeutic target in Se-induced metabolic dysregulation.</p>
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<p>Integration of mTOR signaling, oxidative stress, and IR. The figure delineates the intricate mechanisms by which mTOR signaling integrates oxidative stress, energy homeostasis, and insulin sensitivity. Oxidative stress activates AMPK, which inhibits mTORC1 via TSC2 phosphorylation and suppresses Rheb, a key mTOR activator. Reduced mTOR signaling impairs AKT activation, disrupting GLUT4 translocation and diminishing glucose uptake. Concurrently, impaired AKT fails to suppress FOXO1 nuclear activity, leading to enhanced gluconeogenesis through the upregulation of key enzymes like PEPCK. Elevated oxidative stress and inflammation further aggravate IR by activating pathways, inducing aberrant IRS1 phosphorylation, and reducing insulin receptor sensitivity. These combined effects underscore the centrality of mTOR in maintaining redox balance, metabolic stability, and insulin signaling integrity.</p>
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13 pages, 5179 KiB  
Article
Coenzyme Q and Selenium Co-Supplementation Alleviate Methionine Choline-Deficient Diet-Induced Metabolic Dysfunction-Associated Steatohepatitis in Mice
by Hyewon Choi, Jiwon Choi, Yula Go and Jayong Chung
Nutrients 2025, 17(2), 229; https://doi.org/10.3390/nu17020229 - 9 Jan 2025
Viewed by 678
Abstract
Background/Objectives: The pathogenesis of metabolic dysfunction-associated steatohepatitis (MASH) is closely associated with increased oxidative stress and lipid peroxidation. Coenzyme Q (CoQ) and selenium (Se) are well-established antioxidants with protective effects against oxidative damage. This study aimed to investigate the effects of CoQ and [...] Read more.
Background/Objectives: The pathogenesis of metabolic dysfunction-associated steatohepatitis (MASH) is closely associated with increased oxidative stress and lipid peroxidation. Coenzyme Q (CoQ) and selenium (Se) are well-established antioxidants with protective effects against oxidative damage. This study aimed to investigate the effects of CoQ and Se in ameliorating MASH induced by a methionine choline-deficient (MCD) diet in mice. Methods: C57BL/6J male mice were fed either a methionine choline-sufficient (MCS) or MCD diet and treated with vehicle, CoQ (100 mg/kg), Se (158 μg/kg), or their combination (CoQ + Se) for 4 weeks. Results: The MCD diet significantly increased hepatic steatosis, inflammation, and fibrosis compared to MCS controls. Treatment with CoQ and Se, particularly in combination, markedly reduced the MAFLD activity score, hepatic inflammation, and fibrosis. Combined supplementation of CoQ and Se significantly decreased serum alanine aminotransferase and aspartate aminotransferase levels and hepatic TG and cholesterol concentrations. CoQ and Se effectively mitigated hepatic oxidative stress by enhancing catalase and superoxide dismutase activities, increasing glutathione peroxidase (GPX) activity, and restoring the GSH/GSSG ratio. Lipid peroxidation markers, such as malondialdehyde and 4-hydroxynonenal, were significantly reduced. Furthermore, the expression of ferroptosis-related markers, including acyl-CoA synthetase long-chain family member 4, arachidonate 12-lipoxygenase, and hepatic non-heme iron content, was significantly downregulated, while GPX4 expression was upregulated by combined CoQ and Se treatment. Conclusions: CoQ and Se synergistically alleviate MASH progression by reducing oxidative stress and lipid peroxidation, which may contribute to the suppression of ferroptosis. Combined CoQ and Se supplementation demonstrates therapeutic potential for managing MASH and related liver injury. Full article
(This article belongs to the Special Issue Effects of Selenium and Other Micronutrient Intake on Human Health)
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Figure 1
<p>Effects of CoQ and Se treatment on liver injury in MCD diet-induced MASH mice. (<b>a</b>) Liver sections stained with H&amp;E (steatosis (Δ), lobular inflammation (*), and ballooning degeneration (<tt>→</tt>)), (<b>b</b>) MAS score, (<b>c</b>) Serum ALT activity, (<b>d</b>) Serum AST activity, (<b>e</b>) Hepatic TG concentration, (<b>f</b>) Hepatic total cholesterol (TC) concentration. Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle, <sup><span>$</span></sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD + CoQ.</p>
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<p>Effects of CoQ and Se treatment on liver injury in MCD diet-induced MASH mice. (<b>a</b>) Liver sections stained with H&amp;E (steatosis (Δ), lobular inflammation (*), and ballooning degeneration (<tt>→</tt>)), (<b>b</b>) MAS score, (<b>c</b>) Serum ALT activity, (<b>d</b>) Serum AST activity, (<b>e</b>) Hepatic TG concentration, (<b>f</b>) Hepatic total cholesterol (TC) concentration. Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle, <sup><span>$</span></sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD + CoQ.</p>
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<p>Effects of CoQ and Se treatment on hepatic inflammation and fibrosis in MCD diet-induced MASH mice. (<b>a</b>): Liver sections stained with Sirius Red staining (200× magnification); The arrow indicates collagen staining, (<b>b</b>) % Fibrotic area, (<b>c</b>) the mRNA levels of fibrotic markers, (<b>d</b>) Hepatic mRNA levels of pro-inflammatory cytokines, (<b>e</b>) Hepatic protein levels of COX2 with representative blot (upper panel). Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle, <sup><span>$</span></sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD + CoQ.</p>
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<p>Effects of CoQ and Se treatment on hepatic lipid peroxidation in MCD diet-induced MASH mice. (<b>a</b>) Hepatic MDA concentration, (<b>b</b>) Hepatic protein levels of 4-HNE with representative blot (upper panel). Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle.</p>
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<p>Effects of CoQ and Se treatment on hepatic ferroptosis markers in MCD diet-induced MASH mice. Hepatic protein levels of (<b>a</b>) ACSL4, (<b>b</b>) LOX, and (<b>c</b>) GPX4. Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle.</p>
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<p>Effects of CoQ and Se treatment on hepatic non-heme iron concentrations and hepatic ferritin protein level in MCD diet-induced MASH mice. (<b>a</b>) Hepatic non-heme iron concentration, (<b>b</b>) Hepatic protein levels of ferritin. Data are shown as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05 vs. MCS vehicle, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. MCD vehicle.</p>
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13 pages, 249 KiB  
Article
Assessing the Nutrient Composition of a Carnivore Diet: A Case Study Model
by Sylvia Goedeke, Tamzyn Murphy, Amy Rush and Caryn Zinn
Nutrients 2025, 17(1), 140; https://doi.org/10.3390/nu17010140 - 31 Dec 2024
Viewed by 5207
Abstract
Background/Objectives: The rise in chronic metabolic diseases has led to the exploration of alternative diets. The carnivore diet, consisting exclusively of animal products, has gained attention, anecdotally, for imparting benefit for inflammatory conditions beyond that possible by other restrictive dietary approaches. The aim [...] Read more.
Background/Objectives: The rise in chronic metabolic diseases has led to the exploration of alternative diets. The carnivore diet, consisting exclusively of animal products, has gained attention, anecdotally, for imparting benefit for inflammatory conditions beyond that possible by other restrictive dietary approaches. The aim was to assess the micronutrient adequacy of four versions of the carnivore diet against national nutrient reference values (NRVs). Methods: This study assessed the nutrient adequacy of the carnivore diet against national NRVs from the Australian National Health and Medical Research Council (NHMRC) and New Zealand Ministry of Health. Four meal plans for hypothetical average Australian adults were developed and analysed using Foodworks.online (Version 1, Xyris Pty Ltd., Brisbane, Australia, 2024), dietary software. Two female and two male plans were included; one set including dairy products and the other set including offal. Results: The carnivore diet met several NRV thresholds for nutrients such as riboflavin, niacin, phosphorus, zinc, Vitamin B6, Vitamin B12, selenium, and Vitamin A, and exceeded the sodium threshold. However, it fell short in thiamin, magnesium, calcium, and Vitamin C, and in iron, folate, iodine and potassium in some cases. Fibre intake was significantly below recommended levels. Conclusion: The carnivore diet may offer benefits for managing certain chronic conditions. Whether the metabolic contexts from consuming such a diet facilitates a lower requirement of certain nutrients, or whether it poses risks of micronutrient inadequacies remains to be determined. Tailored nutritional guidance and supplementation strategies are recommended to ensure careful consideration of micronutrient intake to prevent deficiencies. Full article
(This article belongs to the Section Micronutrients and Human Health)
11 pages, 524 KiB  
Article
Micronutrient Deficiencies in Heart Failure and Relationship with Exocrine Pancreatic Insufficiency
by Marlene A. T. Vijver, Nils Bomer, Robert C. Verdonk, Peter van der Meer, Dirk J. van Veldhuisen and Olivier C. Dams
Nutrients 2025, 17(1), 56; https://doi.org/10.3390/nu17010056 - 27 Dec 2024
Viewed by 689
Abstract
Background: Micronutrient deficiencies are common and play a significant role in the prognosis of many chronic diseases, including heart failure (HF), but their prevalence in HF is not well known. As studies have traditionally focused on causes originating within the intestines, exocrine pancreatic [...] Read more.
Background: Micronutrient deficiencies are common and play a significant role in the prognosis of many chronic diseases, including heart failure (HF), but their prevalence in HF is not well known. As studies have traditionally focused on causes originating within the intestines, exocrine pancreatic insufficiency (EPI) has been overlooked as a potential contributor. The exocrine pancreas enables the absorption of various (fat-soluble) micronutrients and may be insufficient in HF. We hypothesize that EPI contributes to micronutrient deficiencies in HF. Objectives: To evaluate micronutrient concentrations in HF cases and their association with clinical characteristics and EPI. Materials and Methods: Plasma samples from 59 consecutive hospitalized patients with HF were analyzed for vitamins A, D, and E and the minerals selenium and zinc. EPI was defined as fecal elastase 1 level < 206 μg/g. Results: The mean age of patients was 59 ± 14 years, with 24 (41%) being women, and a median NT-proBNP concentration of 3726 [2104–6704] pg/mL was noted. Vitamin A deficiency occurred in eight (14%) of the patients, and 12 (20%) exceeded the upper limit. More than half (51%) were vitamin D-deficient. No patients showed vitamin E deficiency, but 14 (24%) had elevated levels. Selenium deficiency was common, affecting 36 (61%) patients, while zinc was below the normal range in seven patients (12%). Micronutrient levels did not differ significantly based on the presence of EPI. Conclusions: This study provides novel insights into the micronutrient status of patients with HF. Deficiencies in vitamins A and D, selenium, and zinc are prevalent in HF, but these findings are not associated with exocrine pancreatic function. Full article
(This article belongs to the Section Micronutrients and Human Health)
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<p>Visual representation of distribution of nutrients in patients with HF compared to population-based reference values. Distribution of nutrients is indicated by the upper blue boxplot, displaying the median and interquartile ranges for vitamins A and D and the means with standard deviations for vitamin E, selenium, and zinc. The black lines refer to the minimum and maximum values. Reference values (0.025–0.975 of the population range) are indicated by the green bar. The red arrow bars indicate the number of patients who exceeded the lower or upper limit of normality. (<b>A</b>) Distribution of vitamin A. (<b>B</b>) Distribution of vitamin D. (<b>C</b>) Distribution of vitamin E. (<b>D</b>) Distribution of selenium. (<b>E</b>) Distribution of zinc.</p>
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23 pages, 2936 KiB  
Review
Effects and Impact of Selenium on Human Health, A Review
by Song Bai, Miaohe Zhang, Shouying Tang, Miao Li, Rong Wu, Suran Wan, Lijun Chen, Xian Wei and Shuang Feng
Molecules 2025, 30(1), 50; https://doi.org/10.3390/molecules30010050 - 26 Dec 2024
Viewed by 723
Abstract
Selenium (Se) is an essential trace element that is crucial for human health. As a key component of various enzymes and proteins, selenium primarily exerts its biological functions in the form of selenoproteins within the body. Currently, over 30 types of selenoproteins have [...] Read more.
Selenium (Se) is an essential trace element that is crucial for human health. As a key component of various enzymes and proteins, selenium primarily exerts its biological functions in the form of selenoproteins within the body. Currently, over 30 types of selenoproteins have been identified, with more than 20 of them containing selenocysteine residues. Among these, glutathione peroxidases (GPXs), thioredoxin reductases (TrxRs), and iodothyronine deiodinases (DIOs) have been widely studied. Selenium boasts numerous biological functions, including antioxidant properties, immune system enhancement, thyroid function regulation, anti-cancer effects, cardiovascular protection, reproductive capability improvement, and anti-inflammatory activity. Despite its critical importance to human health, the range between selenium’s nutritional and toxic doses is very narrow. Insufficient daily selenium intake can lead to selenium deficiency, while excessive intake carries the risk of selenium toxicity. Therefore, selenium intake must be controlled within a relatively precise range. This article reviews the distribution and intake of selenium, as well as its absorption and metabolism mechanisms in the human body. It also explores the multiple biological functions and mechanisms of selenium in maintaining human health. The aim is to provide new insights and evidence for further elucidating the role of selenium and selenoproteins in health maintenance, as well as for future nutritional guidelines and public health policies. Full article
(This article belongs to the Special Issue Organosulfur and Organoselenium Chemistry II)
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<p>Structural formulas of selenocysteine (SeCys) and selenomethionine (SeMet).</p>
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<p>Distribution of selenium [<a href="#B35-molecules-30-00050" class="html-bibr">35</a>,<a href="#B36-molecules-30-00050" class="html-bibr">36</a>]. (<b>A</b>) Selenium distribution at the global scale: in the world map, red indicates sufficient selenium, pink indicates selenium deficiency, and white indicates no selenium content data. (<b>B</b>) Distribution pattern of soil selenium concentration in China.</p>
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<p>The concentration of selenium in blood and human health (range of blood selenium concentrations with possible related health effects from deficiency to toxicity) [<a href="#B55-molecules-30-00050" class="html-bibr">55</a>].</p>
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<p>Metabolic pathway of selenium.</p>
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<p>The role of catalase and glutathione peroxidase in the removal of hydrogen peroxide in the human body [<a href="#B55-molecules-30-00050" class="html-bibr">55</a>].</p>
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<p>Role of thioredoxin in the reduction of ribonucleosides-5′-diphosphates to deoxyribonucleosides-5′-diphosphate.</p>
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<p>Formulae of thyroxine and triiodothyronine.</p>
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<p>The process of thyroid hormone synthesis.</p>
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<p>The role of deiodinases in the conversion between different thyroid hormones.</p>
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22 pages, 3177 KiB  
Article
Soil Application of Selenium in Wheat (Triticum aestivum L.) Under Water Stress Improves Grain Quality and Reduces Production Losses
by Leônidas Canuto dos Santos, Gabryel Silva Martins, Pedro Antônio Namorato Benevenute, Jucelino de Sousa Lima, Fernanda Ribeiro dos Santos, Otávio Vitor Souza Andrade, Indira Pereira de Oliveira, Fábio Henrique Alves Bispo, Lívia Botelho, Flávio Henrique Silveira Rabêlo, Paulo Eduardo Ribeiro Marchiori, Luiz Roberto Guimarães Guilherme and Guilherme Lopes
Plants 2024, 13(24), 3460; https://doi.org/10.3390/plants13243460 - 10 Dec 2024
Viewed by 792
Abstract
Selenium (Se) is an essential element for humans. However, much of the world’s human population is deficient in this element, which has become a public health problem. This study aimed to evaluate whether applying severe water stress to wheat plants (Triticum aestivum [...] Read more.
Selenium (Se) is an essential element for humans. However, much of the world’s human population is deficient in this element, which has become a public health problem. This study aimed to evaluate whether applying severe water stress to wheat plants (Triticum aestivum L.) could allow Se to reduce the production losses and increase the grain quality, thereby contributing to the reduction in hidden hunger. The experiment was conducted in a randomized block design with four replications in a 5 × 2 factorial scheme, with five doses of Se (0.00, 0.25, 0.50, 1.00, and 2.00 mg dm−3) and two irrigation conditions (with and without water deficit). When sodium selenate (Na2SeO4) was applied to the soil, the grains were rich in Se. Under low doses, there was an enrichment of the grains in sulfur, iron, copper, and zinc as well as total free amino acids and total soluble proteins, and lower losses in productivity under severe water stress. Higher doses decreased the concentration of malondialdehyde (MDA) and hydrogen peroxide (H2O2), increased the catalase activity, and increased the water use efficiency (WUE). Therefore, applying Se at a dose of 0.25 mg dm−3 is effective for the biofortification of wheat grains. It enhances grain nutritional quality, increases Se bioaccessibility, and reduces production losses under water stress conditions. Full article
(This article belongs to the Special Issue Plant Nutrition in Alleviating Abiotic Stress)
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<p>Effect of Se application on the grain yield (<b>a</b>) and dry mass of 100 grains (<b>b</b>) in wheat (<span class="html-italic">Triticum aestivum</span> L.) plants with and without water deficit. Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare irrigation conditions within each Se dose. Equal letters did not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Visualization of water stress in wheat (<span class="html-italic">Triticum aestivum</span> L.) plants and the effect of Se application on the photosynthetic rate—<span class="html-italic">A</span> (<b>a</b>) and water use efficiency—WUE (<b>b</b>). Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare the irrigation conditions within each Se dose. Equal letters did not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Effect of Se application and water deficit on hydrogen peroxide (<b>a</b>), malondialdehyde (<b>b</b>), superoxide dismutase (<b>c</b>), and catalase (<b>d</b>) in wheat (<span class="html-italic">Triticum aestivum</span> L.) plants. For the variables superoxide dismutase (<b>c</b>) and catalase (<b>d</b>), there was no significant interaction between the factors (<span class="html-italic">p</span> &gt; 0.05), indicating that the effects of each factor are independent. Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare the irrigation conditions within each Se dose. Equal letters did not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Effect of Se application and water deficit in nitrogen—N concentration (<b>a</b>), sulfur—S concentration (<b>b</b>), total free amino acids—TFAAs (<b>c</b>), and total soluble proteins—TSPs (<b>d</b>) in wheat (<span class="html-italic">Triticum aestivum</span> L.) plants. Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare the irrigation conditions within each Se dose. Equal letters do not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Effect of Se application and water deficit on the concentrations of iron—Fe (<b>a</b>), manganese—Mn (<b>b</b>), zinc—Zn (<b>c</b>), and copper—Cu in grains (<b>d</b>) of wheat (<span class="html-italic">Triticum aestivum</span> L.) plants. Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare the irrigation conditions within each Se dose. Equal letters did not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Effect of Se application and water deficit on selenium—Se concentration in the shoot (<b>a</b>) and Se concentration in the grains (<b>b</b>) in wheat (<span class="html-italic">Triticum aestivum</span> L.) plants. Lowercase letters compare the means among Se doses within each irrigation condition, and capital letters compare the irrigation conditions within each Se dose. Equal letters did not differ statistically by the Duncan test (<span class="html-italic">p</span> &lt; 0.05). The error bar represents the standard error of the means (n = 4).</p>
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<p>Percentage of elements’ bioaccessibility in wheat (<span class="html-italic">Triticum aestivum</span> L.) grain powder in the in vitro simulated human gastrointestinal system. Bioaccessibility of selenium—Se (<b>a</b>), copper—Cu (<b>b</b>), iron—Fe (<b>c</b>), zinc—Zn (<b>d</b>), and manganese—Mn (<b>e</b>). Means followed by the same capital letter within the condition and lowercase letters between conditions did not differ statistically at the 5% (<span class="html-italic">p</span> &lt; 0.05) probability level by the Duncan test. The error bars represent the standard error of the means (n = 4). Asterisks (*) refer to the significant difference regarding the total bioaccessibility of the elements when comparing the conditions.</p>
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<p>Principal component analysis and Pearson of physiological, metabolic, and nutritional responses in the wheat (<span class="html-italic">Triticum aestivum</span> L.) leaves and grains cultivated with different Se under water deficit. In leaves: CAT—catalase; SOD—superoxide dismutase; MDA—malondialdehyde; H<sub>2</sub>O<sub>2</sub>—hydrogen peroxide; WUE—water use efficiency; and proline. In grains: TSPs—total soluble proteins; TFAAs—total free amino acids; NG—nitrogen; SG—sulfur; FeG—iron; CuG—copper; ZnG—zinc; MnG—manganese; SeG—selenium. Significant correlation coefficients (<span class="html-italic">p</span> &lt; 0.005) are indicated by colored circles where negatives are closer to black and positives to blue, respectively. Blank spaces indicate non-significance.</p>
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<p>Soil water retention curve used in the experiment. The blue line represents the soil moisture in conditions without water deficit, and the red line represents the soil moisture on the last day of water restriction.</p>
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16 pages, 5488 KiB  
Article
Unraveling the Strength and Nature of Se∙∙∙O Chalcogen Bonds: A Comparative Study of SeF2 and SeF4 Interactions with Oxygen-Bearing Lewis Bases
by Renhua Chen, Fengying Lei, Deze Jin, Ke Peng, Qingyu Liu, Yeshuang Zhong, Liang Hong, Xiaolong Li, Zhu Zeng and Tao Lu
Molecules 2024, 29(23), 5739; https://doi.org/10.3390/molecules29235739 - 5 Dec 2024
Viewed by 560
Abstract
Chalcogen bonds (ChBs) involving selenium have attracted substantial scholarly interest in past years owing to their fundamental roles in various chemical and biological fields. However, the effect of the valency state of the electron-deficient selenium atom on the characteristics of such ChBs remains [...] Read more.
Chalcogen bonds (ChBs) involving selenium have attracted substantial scholarly interest in past years owing to their fundamental roles in various chemical and biological fields. However, the effect of the valency state of the electron-deficient selenium atom on the characteristics of such ChBs remains unexplored. Herein, we comparatively studied the σ-hole-type Se∙∙∙O ChBs between SeF2/SeF4 and a series of oxygen-bearing Lewis bases, including water, methanol, dimethyl ether, ethylene oxide, formaldehyde, acetaldehyde, acetone, and formic acid, using ab initio computations. The interaction energies of these chalcogen-bonded heterodimers vary from −5.25 to −11.16 kcal/mol. SeF2 participates in a shorter and stronger ChB than SeF4 for all the examined heterodimers. Such Se∙∙∙O ChBs are closed-shell interactions, exhibiting some covalent character for all the examined heterodimers, except for SeF4∙∙∙water. Most of these chalcogen-bonded heterodimers are predominantly stabilized through orbital interactions between the lone pair of the O atom in Lewis bases and the σ*(Se–F) antibonding orbitals of Lewis acids. The back-transfer of charge from the lone pair of selenium into the σ* or π* antibonding orbitals of Lewis bases is also observed for all systems. Energy decomposition analysis reveals that the electrostatic component significantly stabilizes the targeted heterodimers, while the induction and dispersion contributions cannot be ignored. Full article
(This article belongs to the Section Computational and Theoretical Chemistry)
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<p>MEP maps of SeF<sub>2</sub> and SeF<sub>4</sub> on the 0.001 electron/Bohr<sup>3</sup> isosurface. The blue and red areas correspond to the negative and positive electrostatic potentials, respectively. The <span class="html-italic">V</span><sub>s,max</sub> values are reported in kcal/mol.</p>
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<p>The optimized geometrical structures of the examined heterodimers, marked with the <span class="html-italic">R</span>(Se∙∙∙O) distance (Å). The Se∙∙∙O ChBs and C/O–H∙∙∙F HBs uncovered using the NCIplot approach are depicted by the blue and orange dotted lines, respectively.</p>
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<p>Correlation plots of the Se∙∙∙O distance (<span class="html-italic">R</span>) versus the electron density (<span class="html-italic">ρ</span>, (<b>a</b>)) and its Laplacian (∇<sup>2</sup><span class="html-italic">ρ</span>, (<b>b</b>)) at the Se∙∙∙O BCP.</p>
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<p>RDG isosurfaces (<span class="html-italic">s</span> = 0.55 a.u) and scatter plots of RDG versus sign(λ<sub>2</sub>)<span class="html-italic">ρ</span> for the investigated heterodimers. The weak and strong attractive interactions are represented by the green- and blue-colored isosurfaces, respectively, and the repulsive interactions are indicated by the red-colored isosurfaces.</p>
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<p>Plots of the NBOs in both SeF<sub>2</sub>∙∙∙HCOOH (<b>a</b>) and SeF<sub>4</sub>∙∙∙HCOOH (<b>b</b>) heterodimers related to the Se∙∙∙O ChBs and H∙∙∙F HBs.</p>
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<p>Summary of the attractive and repulsive components for the SeF<sub>2</sub> (<b>a</b>) and SeF<sub>4</sub> (<b>b</b>) heterodimers. The interpolated values represent the percentage contribution of each attractive component to the total attractive energy of each heterodimer.</p>
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15 pages, 3238 KiB  
Article
Effects of Trace Elements and Vitamins on the Synthesis of Steroid Hormones in Follicular Granulosa Cells of Yak
by Yanbing Lou, Tingting Yang, Yanqiu Zhu, Chenglong Xia, Hengmin Cui, Huidan Deng, Yixin Huang, Jing Fang, Zhicai Zuo and Hongrui Guo
Vet. Sci. 2024, 11(12), 619; https://doi.org/10.3390/vetsci11120619 - 3 Dec 2024
Viewed by 759
Abstract
Yak (Bos grunniens), a special breed of cattle on the Qinghai–Tibet Plateau, has low fertility due to nutritional deficiency, especially the trace elements. The steroid hormones estradiol (E2) and progesterone (P4) synthesized by yak follicular granulosa cells (BGCs) are involved in [...] Read more.
Yak (Bos grunniens), a special breed of cattle on the Qinghai–Tibet Plateau, has low fertility due to nutritional deficiency, especially the trace elements. The steroid hormones estradiol (E2) and progesterone (P4) synthesized by yak follicular granulosa cells (BGCs) are involved in the entire reproductive process. In the present study, we investigated the effects of trace elements and vitamins on yak follicular GCs, including the cellular activity, the synthesis of E2 and P4, and the expression of genes related to steroid hormone synthesis. The results showed that moderate supplementation of vitamin D3 (VD3), strontium (Sr), manganese (Mn), and selenium (Se) enhanced granulosa cell activity. Within the safe dose range, the addition of vitamin A (VA), VD3, cobalt (Co), Sr, copper (Cu), Mn, Se, and chromium (Cr) significantly increased the synthesis of E2 by GCs, while the addition of VA, vitamin C (VC), VE, zinc (Zn), Sr, Cu, and Cr enhanced the production of P4 in GCs. The changes in steroid synthesizing genes were consistent with the changes in hormone synthesis. This study provides an experimental basis for the addition of trace elements to improve the production performance of yaks. Full article
(This article belongs to the Section Nutritional and Metabolic Diseases in Veterinary Medicine)
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<p>Identification of ovarian granulosa cells in yak. Bright-field image of yak follicular granulosa cell (<b>A</b>). The marker of ovarian granular cells was detected with antibodies against FSHR (diluted 1:200). Red indicates FSHR-positive cells with immunofluorescence staining (<b>B</b>), and blue indicates the cell nucleus with DAPI staining (<b>C</b>). MERGE is the overlap combination plot of the red and blue fluorescence maps (<b>D</b>). Magnification of MERGE (<b>E</b>). Original magnification × 500.</p>
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<p>Effect of vitamins on the viability of follicular granulosa cells in yak. Changes in follicular granulosa cell activity after treatment with different concentrations of vitamin A (<b>A</b>), vitamin B12 (<b>B</b>), vitamin C (<b>C</b>), vitamin D3 (<b>D</b>), vitamin E (<b>E</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effect of different trace elements on the activity of follicular granulosa cells in yaks. Changes in follicular granulosa cell activity after treatment with different concentrations of zinc (<b>A</b>), cobalt (<b>B</b>), nickel (<b>C</b>), strontium (<b>D</b>), copper (<b>E</b>), manganese (<b>F</b>), selenium (<b>G</b>), chromium (<b>H</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of different vitamins on hormone secretion in follicular granulosa cells of yaks. Note: Changes in hormone secretion in follicular granulosa cells after treatment with different concentrations of vitamin A (<b>A</b>), vitamin B12 (<b>B</b>), vitamin C (<b>C</b>), vitamin D3 (<b>D</b>), vitamin E (<b>E</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of different trace elements on hormone secretion in follicular granulosa cells of yaks. Changes in hormone secretion in follicular granulosa cells after treatment with different concentrations of zinc (<b>A</b>), cobalt (<b>B</b>), nickel (<b>C</b>), strontium (<b>D</b>), copper (<b>E</b>), manganese (<b>F</b>), selenium (<b>G</b>), chromium (<b>H</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of different trace elements on genes related to steroid hormone synthesis in yak follicular granulosa cells. Changes in steroid hormone synthesis genes in follicular granulosa cells after treatment with different concentrations of zinc (<b>A</b>), cobalt (<b>B</b>), nickel (<b>C</b>), strontium (<b>D</b>), copper (<b>E</b>), manganese (<b>F</b>), selenium (<b>G</b>), chromium (<b>H</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects of different vitamins on genes related to steroid hormone synthesis in yak follicular granulosa cells. Changes in steroid hormone synthesis genes in follicular granulosa cells after treatment with different concentrations of vitamin A (<b>A</b>), vitamin B12 (<b>B</b>), vitamin C (<b>C</b>), vitamin D3 (<b>D</b>), vitamin E (<b>E</b>) for 24 h. Data are presented with the means ± standard deviation (n = 6). Compared with the control group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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15 pages, 291 KiB  
Review
The Impact of Nutritional Components on Periodontal Health: A Literature Review
by Yarden Berg, Eran Gabay, Darko Božić, Jamil Awad Shibli, Ofir Ginesin, Thabet Asbi, Leila Takakura and Yaniv Mayer
Nutrients 2024, 16(22), 3901; https://doi.org/10.3390/nu16223901 - 15 Nov 2024
Viewed by 1899
Abstract
Periodontitis is a chronic inflammatory disease driven by the accumulation of bacterial plaque and the host’s immune response, leading to the destruction of periodontal tissues. Nutrition, particularly the intake of micronutrients with anti-inflammatory and antioxidant properties, plays a crucial role in maintaining periodontal [...] Read more.
Periodontitis is a chronic inflammatory disease driven by the accumulation of bacterial plaque and the host’s immune response, leading to the destruction of periodontal tissues. Nutrition, particularly the intake of micronutrients with anti-inflammatory and antioxidant properties, plays a crucial role in maintaining periodontal health. This review explores the impact of various micronutrients—vitamins (A, B, C, D, E), minerals (calcium, iron, zinc, potassium, copper, manganese, selenium), and omega-3 fatty acids—on periodontal disease prevention and management. Deficiencies in these nutrients can exacerbate periodontal tissue damage by impairing immune responses, promoting oxidative stress, and reducing bone and tissue regeneration capabilities. While certain populations may be more vulnerable to these deficiencies, such as those following Western diets or living in low- and middle-income countries, even in developed nations, suboptimal nutrient intake is associated with worse periodontal outcomes. Although some studies suggest that supplementation of specific micronutrients may benefit periodontal therapy, the evidence remains inconclusive, necessitating further randomized clinical trials. This review underscores the importance of considering nutritional guidance in periodontal treatment protocols and highlights the need for tailored recommendations based on recent findings. Full article
(This article belongs to the Section Micronutrients and Human Health)
14 pages, 284 KiB  
Article
Impact of Nutritional Minerals Biomarkers on Cognitive Performance Among Bangladeshi Rural Adolescents—A Pilot Study
by Berna Rahi, Fahmida Rashid, Rasheda Sultana, Julia Benoit, Faruque Parvez and Khalid Khan
Nutrients 2024, 16(22), 3865; https://doi.org/10.3390/nu16223865 - 13 Nov 2024
Viewed by 1125
Abstract
Background: Nutritional metals (NM) are essential for neurodevelopment and cognitive performance during growth. Nevertheless, epidemiological evidence regarding the associations between NM and brain function remains understudied, particularly among adolescents. Therefore, the objective of this pilot study was to examine the effects of NM [...] Read more.
Background: Nutritional metals (NM) are essential for neurodevelopment and cognitive performance during growth. Nevertheless, epidemiological evidence regarding the associations between NM and brain function remains understudied, particularly among adolescents. Therefore, the objective of this pilot study was to examine the effects of NM biomarkers such as iron (Fe), selenium (Se), zinc (Zn), magnesium (Mg), and copper (Cu) on neurobehavioral functions among a group of rural Bangladeshi adolescents. Methodology: We conducted a cross-sectional study involving 105 adolescents aged 13–17 from Araihazar, Bangladesh. Cognitive function was assessed using the computer-based Behavioral Assessment and Research System (BARS), focusing attention, memory, and executive function, and blood NM levels (Fe, Se, Zn, Mg, and Cu) were measured. Associations between individual minerals, NM composite scores, and cognition were analyzed using multiple linear regressions. Results: This study included 47 boys and 58 girls with an average age of 15 years. Fe levels were correlated with Continuous Performance Test (CPT) latency (r = −0.42, p < 0.05) and Se levels correlated with Match-to-Sample (MTS) correct count (r = 0.32, p < 0.01). Linear regressions showed that Se was associated with MTS correct count (b = 0.02, 95%CI: 0.01, −0.04), reflecting visual memory, and Fe was associated with CPT latency (b = −0.68, 95%CI: −1.11, −0.26), reflecting improved attention. The same BARS measures were also significantly associated with the 3-NM composite score. Conclusions: Our findings suggest that NM, particularly Fe, Se, and NM mixtures, could play a crucial role in brain development and neurocognitive function during adolescence. Further studies will help design national public health policies and strategies to address and mitigate brain health deficiencies among adolescents. Full article
(This article belongs to the Section Micronutrients and Human Health)
11 pages, 1951 KiB  
Article
Bioavailable Selenium Concentration and Bioavailability in Tissues of Beef Cattle
by Marta Juszczak-Czasnojć, Małgorzata Bąkowska, Dariusz Gączarzewicz, Bogumiła Pilarczyk and Agnieszka Tomza-Marciniak
Animals 2024, 14(22), 3210; https://doi.org/10.3390/ani14223210 - 8 Nov 2024
Viewed by 573
Abstract
The aim of the study was to compare the levels of bioavailable Se between different organs in beef cattle with regard to selenium status. The animals were divided into two groups based on serum selenium concentration, viz. normal and deficient Se status. Bioavailable [...] Read more.
The aim of the study was to compare the levels of bioavailable Se between different organs in beef cattle with regard to selenium status. The animals were divided into two groups based on serum selenium concentration, viz. normal and deficient Se status. Bioavailable selenium was extracted from the organs by simulated in vitro digestion, and its concentration was determined by spectrofluorimetry. The percentage of bioavailable Se was calculated in the liver, kidney, lung, spleen, heart, and longissimus dorsi muscle, based on the total Se content. In all animals tested, the highest bioavailable selenium concentrations were found in the kidney (0.175–0.408 µg/g) and the lowest in the longissimus dorsi muscle (0.04–0.042 µg/g), regardless of Se status. The highest bioavailability of Se was recorded in bulls, reaching 56.6% in the longissimus dorsi muscle, and the lowest in the kidney (21.4%). The study showed that cattle with Se deficiency had a higher percentage of bioavailable Se in their tissues than those with normal Se levels. This is most likely related to the fact that the body seeks to ensure optimal levels of the element in the organs during insufficient supply. Despite balanced feeding, there was a deficiency of Se. This is most likely related to the fact that, in plants, it occurs mainly in its inorganic form, which is less well-utilised by the animals and does not cover their needs for this element. Full article
(This article belongs to the Special Issue Beef Cattle Feedlot: Nutrition, Production and Management)
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<p>Se<sub>B</sub> concentration in individual organs (µg/g) of cows with normal and deficient Se status (*—statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in Se<sub>B</sub> concentration in a given organ between animals with normal and Se-deficient status).</p>
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<p>Se<sub>B</sub> concentration in individual organs (µg/g) of bulls with normal and deficient Se status (*—statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in Se<sub>B</sub> concentration in a given organ between animals with normal and Se-deficient status).</p>
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<p>Se<sub>B</sub> concentration in individual organs (µg/g i.m.) of heifers with normal and deficient Se status.</p>
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<p>Percentage share of Se<sub>B</sub> with regard to total Se content in individual organs in cows.</p>
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<p>Percentage of Se<sub>B</sub> in total Se content in individual organs in bulls (*—statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in a given organ between animals with normal and Se-deficient status).</p>
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<p>Percentage of Se<sub>B</sub> in total Se content in individual organs in heifers (*—statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in a given organ between animals with normal and Se-deficient status).</p>
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11 pages, 2693 KiB  
Article
Erythrocyte Selenium as a Potential Key Indicator for Selenium Supplementation in Low-Selenium Populations: A Selenium Supplementation Study Based on Wistar Rats
by Cunqi Lv, Ruixiang Wang, Qingyu Zeng, Chen Feng, Guijin Li, Shuxiu Hao, Jiacheng Li, Cheng Wang, Huixin Sun, Linlin Du, Yu Zhang, Xinshu Wang, Tong Wang and Qi Li
Nutrients 2024, 16(22), 3797; https://doi.org/10.3390/nu16223797 - 5 Nov 2024
Viewed by 940
Abstract
Background: Selenium (Se) is an essential trace element for maintaining human health, with significant antioxidant and immunoregulatory functions. Inadequate Se intake may be associated with Keshan disease, Kashin–Beck disease, and hypothyroidism. However, effective indicators for scientifically guiding Se supplementation in Se-deficient populations are [...] Read more.
Background: Selenium (Se) is an essential trace element for maintaining human health, with significant antioxidant and immunoregulatory functions. Inadequate Se intake may be associated with Keshan disease, Kashin–Beck disease, and hypothyroidism. However, effective indicators for scientifically guiding Se supplementation in Se-deficient populations are still lacking. Objectives: This study aims to explore the dynamic distribution of Se across various nutritional biomarkers and major organs in rats through a Se supplementation experiment, as well as the pairwise correlations between them, in order to identify reliable nutritional indicators for evaluating Se levels in the body. Methods: Se levels in hair, blood, and major tissues and organs were determined by atomic fluorescence spectrometry, and glutathione peroxidase (GSH-Px) levels were measured using an ELISA. Results: Se supplementation significantly increased Se levels in rat blood, hair, and major organs, as well as GSH-Px levels in blood. Se primarily accumulated in the liver and kidneys, followed by myocardium, spleen, and muscles. Serum and plasma Se were found to be the best indicators of short-term Se intake, while erythrocyte Se levels showed a stronger correlation with Se levels in tissues and organs, making it a better marker for assessing long-term Se nutritional status compared to hair Se. Conclusions: This study demonstrates the potential of erythrocyte Se levels as an indicator for evaluating long-term Se nutritional status, providing scientific evidence for Se nutritional assessments. Full article
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<p>Dietary intake, body weight, and organ coefficients of rats in the control group and the Sodium selenite (SS) group at different time points. Flowchart of the selenium (Se) supplementation experiment in rats (<b>A</b>). Changes in water intake (<b>B</b>), feed intake (<b>C</b>), Se intake from diet (<b>D</b>), body weight (<b>E</b>), liver organ coefficient (<b>F</b>), kidney organ coefficient (<b>G</b>), spleen organ coefficient (<b>H</b>), and heart organ coefficient (<b>I</b>) at different time points. Asterisk indicates statistically significant differences between the SS group and the control group at corresponding time points, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Changes in Se nutritional biomarkers in rats from the control group and SS group at different time points. Changes in dorsal hair Se (<b>A</b>), ventral hair Se (<b>B</b>), whole blood Se (<b>C</b>), serum Se (<b>D</b>), plasma Se (<b>E</b>), erythrocyte Se (<b>F</b>), whole blood GSH-Px (<b>G</b>), serum GSH-Px (<b>H</b>), and plasma GSH-Px (<b>I</b>) levels at different time points in rats. Asterisk indicates statistically significant differences in Se levels and GSH-Px activity between the SS group and the control group at corresponding time points, * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Changes in Se levels in various tissues and organs of rats from the control group and SS group at different time points. The Se level changes in liver (<b>A</b>), kidneys (<b>B</b>), spleen (<b>C</b>), myocardium (<b>D</b>), and muscles (<b>E</b>) at different time points in rats. Asterisk indicates statistically significant differences in Se levels between the SS group and the control group at the corresponding time points, * <span class="html-italic">p</span> &lt; 0.05.</p>
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24 pages, 802 KiB  
Review
Selenium Utilization, Distribution and Its Theoretical Biofortification Enhancement in Rice Granary of China
by Qian Li, Fan Zheng, Xinying Huang, Minxia Cai, Yifan Li and Hongyan Liu
Agronomy 2024, 14(11), 2596; https://doi.org/10.3390/agronomy14112596 - 4 Nov 2024
Viewed by 1160
Abstract
Selenium, as an essential trace element, is intricately linked to the onset and progression of numerous diseases due to deficiencies in selenium intake. Selenium compounds exhibit tumor specificity and can efficiently inhibit the growth of tumor cells, making them potential candidates for cancer [...] Read more.
Selenium, as an essential trace element, is intricately linked to the onset and progression of numerous diseases due to deficiencies in selenium intake. Selenium compounds exhibit tumor specificity and can efficiently inhibit the growth of tumor cells, making them potential candidates for cancer treatment. Nevertheless, given its status as one of the most widely consumed crops globally, increasing the selenium content in rice could prove advantageous in alleviating the prevailing issue of selenium intake deficiency, particularly in China. This review explored the regulatory role of selenium in rice growth, the regional distribution characteristics of soil selenium content in various rice-growing regions in China, and the impact of cultivation practices on selenium fortification in rice, aiming to suggest improved rice cultivation management strategies to enhance the capacity for rice selenium biofortification. The findings revealed that: (1) In Northeast and North China, characterized by alkaline soils and severe selenium deficiency, it is advisable to moderately decrease the duration of flooding, elevate the soil redox potential, and apply organic and nitrogen fertilizers in a judicious manner. (2) In Southwest China, which is characterized by acidic soils, alternating wet and dry irrigation should be employed, and the biofortification of selenium can be facilitated by applying lime and foliar spraying of selenium fertilizer. (3) In the south-central region of China, distinguished by acidic soils and double-cropped rice, it is recommended that intermittent or alternating wet and dry irrigation be employed, and the reasonable application of organic, silica, and selenium fertilizers is advocated. (4) In the northwest region, characterized by slightly alkaline soil and mild selenium deficiency, it is recommended to implement various water management practices, including shallow water during the seedling stage, deep water during the booting stage, and wet grain filling. Additionally, a rational application of nitrogen, phosphorus, and potassium fertilizers, along with foliar application of selenium fertilizer, should be employed. (5) Cultivating selenium-enriched, high-yielding, and high-quality rice varieties proves to be an effective strategy in addressing selenium deficiency. In conclusion, the unique characteristics of diverse rice-growing regions in China indicate that suitable water management, fertilization techniques, and varietal selection practices can effectively enhance the selenium content in rice, thereby maximizing the nutritional requirements for selenium. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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<p>Regional distribution characteristics of soil selenium content in different rice-growing regions of China. Image source: (<a href="https://www.antpedia.com/ibook6206/n/17432-n.html" target="_blank">https://www.antpedia.com/ibook6206/n/17432-n.html</a>, 1 September 2024).</p>
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