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15 pages, 2878 KiB  
Article
Effect of Seed Hydropriming on the Elongation of Plumule and Radicle During the Germination Process and Changes in Enzyme Activity Under Water-Deficient Conditions
by Ju-Young Choi, Young-Hwan Ju, Ayaka Nakamichi, Seong-Woo Cho, Sun-Hee Woo and Jun-Ichi Sakagami
Plants 2024, 13(24), 3537; https://doi.org/10.3390/plants13243537 - 18 Dec 2024
Viewed by 434
Abstract
Hydropriming rice seeds effectively improve the germination percentage, shortens the germination period, and promotes seedling growth. The impact of seed hydropriming is to speed up growth under dry soil conditions, thereby avoiding drought damage. This study analyzes the effect of hydropriming on morpho-physiological [...] Read more.
Hydropriming rice seeds effectively improve the germination percentage, shortens the germination period, and promotes seedling growth. The impact of seed hydropriming is to speed up growth under dry soil conditions, thereby avoiding drought damage. This study analyzes the effect of hydropriming on morpho-physiological changes in the water uptake of rice seeds using “Kasalath” and “Nipponbare” under water-deficit conditions. Upon exposure to osmotic stress, both varieties showed delays in the time to reach germination. In addition, all germination phases exhibited reductions in the activity of alpha-amylase and total soluble sugar by osmotic stress; however, in all germination phases of the hydroprimed seeds, the activity and contents of those were significantly increased, resulting in increased size of the coleoptile, plumule, and radicle. In hydroprimed seeds, “Kasalath” was superior to “Nipponbare” in the ratio of the water-deficit-to-well-watered conditions for all traits related to germination, which may have been attributable to hydropriming having a greater effect on “Kasalath”. Interestingly, Primed “Kasalath” had a lower level of α-amylase, despite the having a higher content of total soluble sugars than primed “Nipponbare”. Full article
(This article belongs to the Special Issue Abiotic Stress Responses in Plants)
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Figure 1

Figure 1
<p>The changes in the water uptake in rice seeds of two varieties during seed germination. (<b>a</b>,<b>b</b>) represent “Kasalath”, and (<b>c</b>,<b>d</b>) represent “Nipponbare”. (<b>a</b>,<b>c</b>) represent well-watered conditions, and (<b>b</b>,<b>d</b>) represent osmotic stress conditions during seed germination. The bars in (<b>a</b>–<b>d</b>) represent standard error (S.E.). Each germination phase of 1, 2, and 3 represents imbibition, plateau, and post-germination, respectively.</p>
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<p>Morphological and structural changes in each phase for non-primed (NP) and primed (P) in “Kasalath” (<b>a</b>) and “Nipponbare” (<b>b</b>) under well-watered (WW) and water-deficit treatments (WD, 15% PEG6000). The 0 represents before water imbibition and 1 represents stages with the rapid absorption of water, 2 represents the stage of a plateau in water content, and 3 is the stage of radicle appearance. Scale bar = 1 mm.</p>
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<p>Longitudinal sections of “Kasalath” (<b>a</b>) and “Nipponbare” (<b>b</b>) embryos. Changes in well-watered (WW) and water-deficit treatment (WD, 15% PEG6000) conditions with not-primed (NP) and primed (P) according to each phase. The 1 represents the phase with the rapid absorption of water, 2 is the stage of a plateau in water content, and 3 represents the stage of radicle appearance. EN: endosperm; CO; coleoptile; PL: plumule; RA: radicle. Scale bar = 100 μm.</p>
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<p>Comparison of the area of a plumule in the two varieties (see <a href="#plants-13-03537-f002" class="html-fig">Figure 2</a>). (<b>a</b>,<b>b</b>) represent “Kasalath” and (<b>c</b>,<b>d</b>) represent “Nipponbare”. The bars in (<b>a</b>–<b>d</b>) represent standard error (S.E.). The differences in the effect of seed priming on the plumule area of seeds germinated under control (well-watered, WW) and water-deficit (WD, 15% PEG6000) conditions were evaluated (for each step of seed germination separately) using Welch’s <span class="html-italic">t</span>-test. *, **, and *** indicate a significant difference (<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, respectively).</p>
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<p>Relationship between α-amylase activity and total soluble sugar content of the two varieties. (<b>a</b>,<b>b</b>) represent “Kasalath” and (<b>c</b>,<b>d</b>) represent “Nipponbare”. (<b>a</b>,<b>c</b>) represent well-watered conditions and (<b>b</b>,<b>d</b>) represent water-deficit conditions (15% PEG6000). ** indicates significant difference at the 0.01 level (<span class="html-italic">p</span> &lt; 0.01).</p>
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21 pages, 8441 KiB  
Article
Effects of Malondialdehyde on Growth Performance, Gastrointestinal Health, and Muscle Quality of Striped Catfish (Pangasianodon hypophthalmus)
by Cong Peng, Xinlangji Fu, Yumeng Zhang, Haitao Zhang, Yuantu Ye, Junming Deng and Beiping Tan
Antioxidants 2024, 13(12), 1524; https://doi.org/10.3390/antiox13121524 - 13 Dec 2024
Viewed by 469
Abstract
Malondialdehyde (MDA) is a reactive carbonyl compound produced through lipid peroxidation during feed storage, which poses a significant threat to fish health. This study aimed to evaluate the effects of dietary MDA on the growth rate, gastrointestinal health, and muscle quality of striped [...] Read more.
Malondialdehyde (MDA) is a reactive carbonyl compound produced through lipid peroxidation during feed storage, which poses a significant threat to fish health. This study aimed to evaluate the effects of dietary MDA on the growth rate, gastrointestinal health, and muscle quality of striped catfish (Pangasianodon hypophthalmus). A basal diet (M0) containing 34% crude protein and 10.5% crude lipid was formulated. Each group was sprayed with malondialdehyde solution (0, 5, 10, 20, 40, and 80 mg/kg, on dietary crude lipid basis; 0, 0.53, 1.07, 2.13, 4.26, and 8.52 mg/kg, on dietary basis) before feeding, respectively. Each diet was randomly assigned to triplicates of 30 striped catfish (initial weight 31.38 g) per net cage. After 8 weeks, dietary inclusion of MDA regardless of level significantly depressed the growth rate and feed utilization. The extent of structural damage to the gastrointestinal tract increased progressively with increasing dietary MDA levels. The extent of damage to the intestinal biological barrier (intestinal microbial structure), chemical barrier (trypsin, lipase, amylase, and maltase activity), physical barrier (zonula occludent-2, occludin, claudin 7α, and claudin 12 relative expression), and immune barrier (contents of complement 4, complement 3, immunoglobulin M, and lysozyme activity) was dose-related to dietary MDA. Moreover, a linear decline in the activities of intestinal antioxidant enzymes (catalas, superoxide dismutase, et al.) and anti-inflammatory factor (transforming growth factor beta1, interleukin 10) relative expression was noted alongside an increase in dietary MDA content. In contrast, the relative expression levels of intestinal inflammatory factor (interleukin 8, transcription factor p65, tumor necrosis factor alpha) relative expression displayed an opposing trend. Additionally, dietary MDA exerted a linear influence on muscle color and texture characteristics. In conclusion, high doses of MDA (5–80 mg/kg) reduced the growth performance of striped catfish, attributed to linear damage to the gastrointestinal tract, a linear decrease in antioxidant function, and the occurrence of an inflammatory response. High doses of MDA (>40 mg/kg) were observed to significantly increase dorsal muscle b-value and induce muscle yellowing. Full article
(This article belongs to the Special Issue Oxidative Stress and Nutrition in Aquatic Animals)
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Figure 1

Figure 1
<p>The scanning electron microscope of the stomach in striped catfish-fed diets with various levels of malondialdehyde (×3000). (<b>A</b>) Diet M0, (<b>B</b>) Diet M20, (<b>C</b>) Diet M80. Striped catfish-fed the M0 diet (<b>A</b>) showed the stomach mucosal surfaces were smooth, soft, and free of erosions, while stomach mucosal cells were ruptured, and the mucosa was extensively ulcerated in fish fed the M20 (<b>B</b>) and M80 (<b>C</b>) diets.</p>
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<p>The stomach histomorphology of striped catfish-fed diets with various levels of malondialdehyde (H&amp;E staining, ×40). (<b>A</b>) Diet M0, (<b>B</b>) Diet M5, (<b>C</b>) Diet M10, (<b>D</b>) Diet M20, (<b>E</b>) Diet M40, (<b>F</b>) Diet M80. VH, villi height; VW, villi width; MT, muscular layer thickness. Striped catfish-fed the M0 (<b>A</b>) and M5 (<b>B</b>) diets exhibited healthy stomach structure with intact columnar epithelium, stomach glands, mucosa, and submucosa, while damaged stomach tissue with the degenerated columnar epithelium, atrophied stomach glands, and destructed villus integrity was observed in striped catfish fed the M10 (<b>C</b>), M20 (<b>D</b>), M40 (<b>E</b>), and M80 (<b>F</b>) diets.</p>
Full article ">Figure 2 Cont.
<p>The stomach histomorphology of striped catfish-fed diets with various levels of malondialdehyde (H&amp;E staining, ×40). (<b>A</b>) Diet M0, (<b>B</b>) Diet M5, (<b>C</b>) Diet M10, (<b>D</b>) Diet M20, (<b>E</b>) Diet M40, (<b>F</b>) Diet M80. VH, villi height; VW, villi width; MT, muscular layer thickness. Striped catfish-fed the M0 (<b>A</b>) and M5 (<b>B</b>) diets exhibited healthy stomach structure with intact columnar epithelium, stomach glands, mucosa, and submucosa, while damaged stomach tissue with the degenerated columnar epithelium, atrophied stomach glands, and destructed villus integrity was observed in striped catfish fed the M10 (<b>C</b>), M20 (<b>D</b>), M40 (<b>E</b>), and M80 (<b>F</b>) diets.</p>
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<p>The intestinal histomorphology of striped catfish-fed diets with various levels of malondialdehyde (H&amp;E staining, ×100). (<b>A</b>) Diet M0, (<b>B</b>) Diet M5, (<b>C</b>) Diet M10, (<b>D</b>) Diet M20, (<b>E</b>) Diet M40, (<b>F</b>) Diet M80. VH, villi height; VW, villi width; MT, muscular layer thickness. Striped catfish-fed the M0 (<b>A</b>) and M5 (<b>B</b>) diets exhibited normal intestines with intact villus, while the damaged intestine with shortened villus and thinned lamina propria was observed in fish fed the M10 (<b>C</b>), M20 (<b>D</b>), M40 (<b>E</b>), and M80 (<b>F</b>) diets.</p>
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<p>The intestinal microbial diversity of striped catfish-fed diets containing different levels of malondialdehyde. (<b>A</b>) Venn diagram based on the OTU level (each group is represented by a different color. The intersection part of the figure represents the common OTUs between different groups), (<b>B</b>) Principal Co-ordinates analysis diagram based on the OTU level and weighted_unifrac Distance (The dots represent a group, PCoA1 represents the principal coordinate component that best explains the variation in the data, and PCoA2 represents the principal coordinate component that accounts for most of the remaining variation).</p>
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<p>The intestinal microbial composition of striped catfish-fed diets containing different malondialdehyde levels. (<b>A</b>) Plot of microbial composition based on the phylum level; (<b>B</b>) Plot of microbial composition based on the genus level; (<b>C</b>) Heat map of microbial abundance based on the phylum level; (<b>D</b>) Heat map of microbial abundance based on the genus level. (<b>C</b>,<b>D</b>) each column represents a group; each row represents a species. The colors represent species abundance; nearer to orange is less abundance and nearer to blue is more abundance. (<b>E</b>) Evolutionary clade chart, (<b>F</b>) LDA distribution histogram (<b>E</b>) Illustrating the differential species across various taxonomic ranks, from inner to outer in the following sequence: Phylum, Class, Order, Family, Genus, Species. (<b>F</b>) bacterial taxa differentially represented in the intestinal microbial populations of different groups were identified by LEfSe using an LDA, with LDA scores &gt; 3 and <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The intestinal microbial functional prediction at the species level in striped catfish-fed diets with various malondialdehyde levels. (<b>A</b>) PICRUSt2 heat map of third-level functional pathway annotation (each column represents a group; each row represents a functional pathway. The colors represent the relative abundance of the pathway; the warmer the color (closer to orange), the less the abundance; the cooler the color (closer to blue), the more the abundance). (<b>B</b>) PICRUSt2 Welch’s t-test of third-level functional pathway annotation (significant when <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The scanning electron microscope of the intestine in striped catfish-fed diets with various levels of malondialdehyde (×7000). (<b>A</b>) Diet M0; (<b>B</b>) Diet M20; (<b>C</b>) Diet M80. MV, microvilli; M, mitochondria; TJ, tight junction; L, lysosome. Striped catfish-fed the M0 diet (<b>A</b>) showed normal enterocytes, while enterocytes with sparse and disorganized microvilli, swollen mitochondria, and widened intercellular space were observed in fish fed the M20 (<b>B</b>) and M80 (<b>C</b>) diets.</p>
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<p>The relative expression of inflammatory response and tight junction protein-related genes in striped catfish-fed diets with various levels of malondialdehyde (<span class="html-italic">n</span> = 6). Values are presented as means of triplication; means in the same row with different superscript letters represented a significant difference (<span class="html-italic">p</span> &lt; 0.05); PSE = pooled standard error of means. <span class="html-italic">ZO-2</span>, zonula occludent 2; <span class="html-italic">tnf-α</span>, tumor necrosis factor alpha; <span class="html-italic">p65</span>, transcription factor p65; <span class="html-italic">il-8</span>, interleukin 8; <span class="html-italic">il-10</span>, interleukin 10; <span class="html-italic">tgf-β1</span>, transforming growth factor beta1. Linear regression equation (where y is the response and x is the level of malondialdehyde in diet), R<sup>2</sup>, and <span class="html-italic">p</span>-Value (significant when <span class="html-italic">p</span> &lt; 0.05) are also given.</p>
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21 pages, 4779 KiB  
Article
Integrated Transcriptomic and Metabolomic Analyses Reveal Changes in Aroma- and Taste-Related Substances During the Withering Process of Black Tea
by Bernard Ntezimana, Wenluan Xu, Yuchuan Li, Jingtao Zhou, Sujan Pathak, Yuqiong Chen, Zhi Yu, De Zhang and Dejiang Ni
Foods 2024, 13(23), 3977; https://doi.org/10.3390/foods13233977 - 9 Dec 2024
Viewed by 739
Abstract
Withering is one of the major processing steps critical for the quality of black tea. In this study, we investigated the mechanisms underlying the physicochemical changes in metabolites and gene expression during the withering process of black tea using metabolomic and transcriptomic approaches, [...] Read more.
Withering is one of the major processing steps critical for the quality of black tea. In this study, we investigated the mechanisms underlying the physicochemical changes in metabolites and gene expression during the withering process of black tea using metabolomic and transcriptomic approaches, respectively. Based on gas chromatography/mass spectrometry non-targeted metabolomic approaches (GC-MS) and ultra-high performance liquid chromatograph–tandem mass spectrometry (UHPLC-MS/MS), a total of 76 volatile compounds and 160 non-volatile compounds were identified from tea leaves, respectively. RNA-seq analysis revealed that the number of differentially expressed genes (DEGs) for the comparative combination of withering time (i.e., W4h, W6h, W8h, W10h, and W12h) compared with CK (i.e., fresh leaves) were 3634, 2906, 4127, 5736, and 7650, respectively. The core genes in starch metabolism, namely alpha-amylase (AMY) and beta-amylase (BAM), were upregulated as withering time increased. AMY and BAM contributed to the decomposition of starch to increase the soluble sugars. The content of tea leaf alcohols and aldehydes, which are the vital contributors for greenish aroma, gradually decreased as withering time increased due to the downregulation of associated genes while the compounds related to sweet and fruity characteristics increased due to the upregulated expression of related genes. Most DEGs involved in amino acids were significantly upregulated, leading to the increase in free amino acids content. However, DEGs involved in catechins metabolism were generally downregulated during withering, and resulted in a reduction in catechins content and the accumulation of theaflavins. The same trend was observed in alpha-linolenic acid metabolism-related genes that were downregulated and enhanced the reduction in grassy aroma in black tea. The weighted gene co-expression network analysis (WGCNA) of DEGs showed that one module can be associated with more components and one component can be regulated by various modules. Our findings provide new insights into the quality formation of black tea during the withering process. Full article
(This article belongs to the Section Foodomics)
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Figure 1
<p>Relative content of the main metabolites under different withering times. (<b>a</b>) Catechins, (<b>b</b>) amino acids, (<b>c</b>) flavonoid glycosides, (<b>d</b>) theaflavins, (<b>e</b>) alkaloids, (<b>f</b>) organic acids, (<b>g</b>) others, and (<b>h</b>) enzymes activity during withering process. Data are presented as mean ± SD (n = 3), and a significant difference is shown by different letters with a threshold <span class="html-italic">p</span> &lt; 0.05, according to Duncan’s test.</p>
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<p>Differentially expressed genes (DEGs) in five groups. (<b>a</b>) The identification of DEGs in five groups, where the cross-sectional region shows the shared DEGs. (<b>b</b>) Pearson’s correlation between the samples. (<b>c</b>) The first 20 significantly enriched pathways (KEGG) in the comparative combination of withering time across all samples. (<b>d</b>) Gene Ontology (GO) enrichment analysis across all samples. DEGs were defined using adjusted <span class="html-italic">p</span>−value &lt; 0.05 and a |fold-change| &gt; 1.5 as a cut-off.</p>
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<p>The expression of DEGs involved in catechins metabolism and the activities of oxidation enzymes during the withering process. (<b>a</b>) DEGs involved in the biosynthesis of catechins. (<b>b</b>) Validation of RNA-seq by qRT-PCR. Column charts and lines represent the RNA-seq values and qRT-PCR results, respectively. (<b>c</b>) Activities of PPO and POD. PAL, phenylalanine ammonia-lyase; C4H, cinnamate-4-hydroxylase; F3H, cinnamate-4-hydroxylase; DFR, dihydroflavonol 4-reductase; ANR, anthocyanidin reductase; FLS, flavonol synthase; TT4, chalcone synthase; TT5, chalcone isomerase; TT7, flavonoid 3’-monooxygenase; ECG, (-) epicatechin 3-gallate; GCG, (-) gallocatechin 3- gallate; EGCG, (-) epigallocatechin 3- gallate; (UGGT), UDP-glucose glycoprotein glucosyltransferase; (UCGT) Epicatechin -1-ogalloyl-beta-D-glucose-o-galloyltransferase; TF, theaflavins; TF3G, theaflavin-3-gallate, TF3’G, theaflavin-3’-gallate; TF3,3’DG, theaflavin-3, 3’-digallate; PPO, polyphenol oxidase; POD, peroxidase. Statistical significance of DEGs was defined using adjusted <span class="html-italic">p</span>-value &lt; 0.05 and |fold-change| &gt; 1.5 as a cut-off.</p>
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<p>The differentially expressed genes (DEGs) involved in amino acid formation during the withering process. (<b>a</b>) Glycine, serine and threonine metabolism; (<b>b</b>) histidine metabolism; (<b>c</b>) phenylalanine, tyrosine, and tryptophan biosynthesis; (<b>d</b>) valine, leucine, and isoleucine biosynthesis; (<b>e</b>) alanine, aspartate, and glutamate metabolism; arginine and proline metabolism; cysteine and methionine metabolism; lysine biosynthesis; (<b>f</b>) protease activity; (<b>g</b>) the validation of RNA-seq by RT-qPCR. The column charts represent values of RNA-seq, and the lines represent RT-qPCR values. Statistical significance of DEGs was defined using adjusted <span class="html-italic">p</span>-value &lt; 0.05 and |fold-change “FC” | &gt; 1.5 as a cut-off.</p>
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<p>Dynamic changes in metabolites. (<b>a</b>) The differentially expressed genes (DEGs) involved in starch and sucrose metabolism during withering process. (<b>b</b>) Validation of RNA−seq by RT−qPCR; column charts represent values of RNA−seq, and lines represent RT−qPCR values. (<b>c</b>) Amylase activities. SPS3F, sucrose phosphate synthase 3F; SUS6, sucrose synthase 6; BGLU11, beta glucosidase 11; GBSS1, granule-bound starch synthase 1; SBE, starch−branching enzyme; DBE, isoamylase/debranching enzyme; AMY, alpha-amylase; BAM, beta-amylase. Statistical significance of DEGs was defined using the adjusted <span class="html-italic">p</span>−value &lt; 0.05 and a |fold-change “FC” | &gt; 1.5 as a cut-off.</p>
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<p>(<b>a</b>) The differentially expressed genes (DEGs) involved in terpenoid backbone biosynthesis during withering process; (<b>b</b>) Validation of RNA−seq by RT−qPCR; column charts represent values of RNA−seq, and lines represent RT−qPCR values. HMGS, hydroxymethylglutaryl−CoA synthase; HMG1, hydroxy methylglutaryl CoA reductase 1; MK, mevalonate kinase; PVK, phosphomevalonate kinase; MVD1, mevalonate diphosphate decarboxylase 1; DXPS1, 1−deoxy-D-xylulose 5−phosphate synthase 1; DRX, 1−deoxy-D-xylulose 5-phosphate reductoisomerase; CDPD, 4−(cytidine 5’-phospho)-2-C-methyl-D-erithritol kinase; GGPS6, geranylgeranyl pyrophosphate synthase 6; TPS10, terpene synthase 10; TPS14, terpene synthase 14; TPS−CIN, terpene synthase-like sequence-1,8-cineole. Statistical significance of DEGs was defined using the adjusted <span class="html-italic">p</span>-value &lt; 0.05 and |fold-change “FC” | &gt; 1.5 as a cut-off.</p>
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<p>(<b>a</b>) Simplified model of DEGs involved in α−linolenic acid metabolism during withering process. (<b>b</b>) Validation of RNA-seq by RT−qPCR; column charts represent values of RNA−seq, and lines represent RT−qPCR values. PLA2−ALPHA, secretory phospholipase A2; LOX3, lipoxygenase; HPL1, hydroperoxide lyase 1; ADH1, alcohol dehydrogenase class−P, AOS, hydroperoxide dehydratase; AOC4, allene oxide cyclase 4; OPR, Oxophytodienoic acid reductase; AMP, AMP-dependent synthetase and ligase family protein; ACX, acyl−CoA oxidase; PKT4, peroxisomal 3−ketoacyl−CoA thiolase 4; JMT, jasmonate O−methyltransferase. Statistical significance of DEGs was defined using the adjusted <span class="html-italic">p</span>−value &lt; 0.05 and |fold-change “FC” | &gt; 1.5 as a cut−off.</p>
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<p>Weighted gene co-expression network analysis (WGCNA) of the genes during the withering process. (<b>a</b>) Cluster dendrogram displaying the hierarchical cluster tree with each leaf representing a single gene and the co−expression modules revealed by WGCNA. (<b>b</b>) The correlations between samples and modules where every row represents a single module. The color and number of each cell at the row−column intersection indicate the correlation coefficient of the module and sample.</p>
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12 pages, 1788 KiB  
Article
Diagnosis of Pain Deception Using Minnesota Multiphasic Personality Inventory-2 Based on XGBoost Machine Learning Algorithm: A Single-Blinded Randomized Controlled Trial
by Hyewon Chung, Kihwan Nam, Subin Lee, Ami Woo, Joongbaek Kim, Eunhye Park and Hosik Moon
Medicina 2024, 60(12), 1989; https://doi.org/10.3390/medicina60121989 - 2 Dec 2024
Viewed by 613
Abstract
Background and Objectives: Assessing pain deception is challenging due to its subjective nature. The main goal of this study was to evaluate the diagnostic value of pain deception using machine learning (ML) analysis with the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) scales, considering [...] Read more.
Background and Objectives: Assessing pain deception is challenging due to its subjective nature. The main goal of this study was to evaluate the diagnostic value of pain deception using machine learning (ML) analysis with the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) scales, considering accuracy, precision, recall, and f1-score as diagnostic parameters. Materials and Methods: This study was a single-blinded, randomized controlled trial. Subjects were randomly allocated into a non-deception (ND) group and a deception (D) group. Pain deception, as a form of psychological intervention, was taught to subjects in the D group to deceive the physician. MMPI-2, Waddell’s sign, and salivary alpha-amylase (SAA) were also measured. For analyzing the MMPI-2, the XGBoost ML algorithm was applied. Results: Of a total of 96 participants, 50 and 46 were assigned to the ND group and the D group, respectively. In the logistic regression analysis, pain and MMPI-2 did not show diagnostic value. However, in the ML analysis, values of the selected MMPI-2 (sMMPI-2) scales related to pain deception showed an accuracy of 0.724, a precision of 0.692, a recall of 0.692, and an f1-score of 0.692. Conclusions: Using MMPI-2 test results, ML can diagnose pain deception better than the conventional logistic regression analysis method by considering different scales and patterns together. Full article
(This article belongs to the Special Issue Advanced Research on Anesthesiology and Pain Management)
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Figure 1
<p>Flow diagram of this study. D, deception; ND, non-deception.</p>
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<p>Comparison of sMMPI-2 scales between the D and ND groups. sMMPI-2, selected MMPI-2; D, deception; ND, non-deception. The abbreviations for the MMPI-2 scales are defined in <a href="#medicina-60-01989-t001" class="html-table">Table 1</a>. sMMPI-2 scales include F, Fb, Fp, Ds(F-K), KHS, Hy, HEA, Hy4, D, Ma, RCd, RC2, and DEP. *: <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>XGBoost analysis of the wMMPI-2 scales to classify the D and ND groups. wMMPI-2, whole MMPI-2; D, deception; ND, non-deception; 0, non-deception; 1, deception. Abbreviations for the MMPI-2 scales are defined in <a href="#medicina-60-01989-t001" class="html-table">Table 1</a>. (<b>a</b>) Confusion matrix; (<b>b</b>) feature importance depending on the f1-score.</p>
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<p>XGBoost analysis of sMMPI-2 scales to classify the D and ND groups. sMMPI-2, selected MMPI-2; D, deception; ND, non-deception; 0, non-deception; 1, deception. Abbreviations for the MMPI-2 scales are defined in <a href="#medicina-60-01989-t001" class="html-table">Table 1</a>. The sMMPI-2 scales include F, Fb, Fp, Ds(F-K), KHS, Hy, HEA, Hy4, D, Ma, RCd, RC2, and DEP. (<b>a</b>) Confusion matrix; (<b>b</b>) feature importance depending on f1-score.</p>
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<p>ROC analysis of the logistic regression classifier using sMMPI-2 scales. ROC, receiver operating characteristic; sMMPI-2, selected MMPI-2. The sMMPI-2 scales include F, Fb, Fp, Ds(F-K), KHS, Hy, HEA, Hy4, D, Ma, RCd, RC2, and DEP. Abbreviations for the MMPI-2 scales are defined in <a href="#medicina-60-01989-t001" class="html-table">Table 1</a>.</p>
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12 pages, 425 KiB  
Article
Levels of Stress in Volleyball Referees During Official Matches—The Influence of the Referee Role and Level of Competition
by Zoran Nikolovski, Dario Vrdoljak, Nikola Foretić, Mia Perić, Vladimir Pavlinović, Ratko Perić and Vuk Karanović
Sports 2024, 12(12), 319; https://doi.org/10.3390/sports12120319 - 26 Nov 2024
Viewed by 351
Abstract
Volleyball referees, as athletes and staff members, are exposed to different stress levels which can be determined by measuring pre- and post-match levels of salivary cortisol (C) and alpha-amylase (AA). This study aimed to determine the dynamics of stress biomarkers in referees during [...] Read more.
Volleyball referees, as athletes and staff members, are exposed to different stress levels which can be determined by measuring pre- and post-match levels of salivary cortisol (C) and alpha-amylase (AA). This study aimed to determine the dynamics of stress biomarkers in referees during official volleyball matches and the connection to the roles or level of competition. The participants in this study were nine international volleyball referees (three females and six males) with a mean chronological age of 48.23 ± 2.31 years. In this study, saliva samples were collected during 24 official matches during the European championship for senior women’s teams (Eurovolley 2021). The AA activity and C concentrations were determined from saliva samples. When the referees’ roles were assessed in line with their duties, the first referees’ salivary C levels showed a significant increase between the pre- and post-match measurements (p = 0.01), while in the second referees remained low. The reserve and challenge referees demonstrated a significant drop in their C concentrations (p = 0.00 and p = 0.02, respectively). Additionally, when assessing AA which accounts for the responsibilities of referees and the intensity of competition, the first (p = 0.06 and p = 0.07) and second referees (p = 0.01 and p = 0.00) showed an increase between the pre- and post-match measurements, respectively. At the same time, the AA activity did not show any significant change concerning the reserve and challenge referees. Our results indicate that referees’ roles and the level of competition may cause higher responses in “active referee roles”—mainly the first and second referees—while reserve and challenge referees showed no increase or even a decrease in the measured biomarkers. The observed changes in the stress markers can be explained by psychological or emotional effects and are dependent on the level of competition and the role referees are fulfilling. Full article
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<p>Sample collection timeline 30 min before a match and directly after a match (time of second sample collection is not standard because of the impossibility of always taking it at the same time due to different match durations).</p>
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20 pages, 4014 KiB  
Article
Impact of Ultrasound- and Microwave-Assisted Extraction on Bioactive Compounds and Biological Activities of Jania rubens and Sargassum muticum
by Kahina Hamamouche, Zoubida Elhadj, Latifa Khattabi, Wafa Zahnit, Brahim Djemoui, Omar Kharoubi, Walid Boussebaa, Mouhamed Bouderballa, Mohammed EL Moustapha Kallouche, Sabry M. Attia, Sheikh F. Ahmad, Maria Atanassova and Mohammed Messaoudi
Mar. Drugs 2024, 22(12), 530; https://doi.org/10.3390/md22120530 - 25 Nov 2024
Viewed by 741
Abstract
This study represents the first investigation into the ultrasonic and microwave extraction of bioactive metabolites from Jania rubens (J. rubens) (red seaweed) and Sargassum. muticum (S. muticum) (brown seaweed), with a focus on their biological activities. The research compares ultrasound-assisted extraction [...] Read more.
This study represents the first investigation into the ultrasonic and microwave extraction of bioactive metabolites from Jania rubens (J. rubens) (red seaweed) and Sargassum. muticum (S. muticum) (brown seaweed), with a focus on their biological activities. The research compares ultrasound-assisted extraction (UAE) with microwave-assisted extraction (MAE) utilizing a hydromethanolic solvent to evaluate their effects on these seaweeds’ bioactive compounds and biological activities. The assessment included a series of antioxidant essays: DPPH, ABTS, phenanthroline, and total antioxidant capacity, followed by enzyme inhibition activities: alpha-amylase and urease. Results revealed significant proportions of phenolic compounds, ranging from 48.31 ± 0.32 to 74.42 ± 0.80 μg GAE/mg, depending on the extraction method. The extracts demonstrated a high antioxidant activity, with IC50 values ranging from 26.58 ± 0.39 to 87.55 ± 0.69 μg/mL. Notably, the MAE extract of S. muticum showed a value of 48.11 ± 2.75 μg/mL for alpha-amylase inhibition, which is strictly superior to the reference acarbose with an IC50 equal to 3431.01 μg/mL. UPLC-ESI-MS/MS analysis identified 14 bioactive compounds. The proportion of riboflavin with MAE was 70.58% and 59.11% for J. rubens and S. muticum fractions, respectively. These findings underscore the critical influence of extraction technique selection on bioactive compounds’ yield and efficiency, highlighting the potential of algal biomass as a sustainable alternative in various applications. Full article
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<p>SEM images of <span class="html-italic">J. rubens</span> and <span class="html-italic">S. muticum</span>: (<b>a</b>) <span class="html-italic">J. rubens</span> before extraction; (<b>b</b>) <span class="html-italic">J. rubens</span> after MAE treatment; (<b>c</b>) <span class="html-italic">J. rubens</span> after UAE treatment; (<b>d</b>) <span class="html-italic">S. muticum</span> before extraction; (<b>e</b>) <span class="html-italic">S. muticum</span> after MAE treatment; (<b>f</b>) <span class="html-italic">S. muticum</span> after UAE treatment.</p>
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<p>EDX analysis results: (<b>A</b>) <span class="html-italic">J. rubens</span> before treatment; (<b>B</b>) <span class="html-italic">J. rubens</span> after MA; (<b>C</b>) <span class="html-italic">J. rubens</span> after UAE; (<b>D</b>) <span class="html-italic">S. muticum</span> before treatment; (<b>E</b>) <span class="html-italic">S. muticum</span> after MAE; (<b>F</b>) <span class="html-italic">S. muticum</span> after UAE.</p>
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<p>Bioactive components profile of <span class="html-italic">J. rubens</span> determined by UPLC-ESI-MS-MS. (<b>a</b>) MAE <span class="html-italic">J. rubens</span>; (<b>b</b>) UAE <span class="html-italic">J. rubens</span>.</p>
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<p>UPLC-ESI-MS-MS-determined bioactive components profile of <span class="html-italic">S. muticum</span>. (<b>a</b>) MAE <span class="html-italic">S. muticum</span>; (<b>b</b>) UAE <span class="html-italic">S. muticum</span>.</p>
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<p>Chemical structure of identified seaweed bioactive compounds.</p>
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16 pages, 2473 KiB  
Article
In Vitro and In Vivo Digestibility of Putative Nutraceutical Common-Bean-Derived Alpha-Amylase Inhibitors
by Krisztina Takács, András Nagy, Anna Jánosi, István Dalmadi and Anita Maczó
Appl. Sci. 2024, 14(23), 10935; https://doi.org/10.3390/app142310935 - 25 Nov 2024
Viewed by 565
Abstract
The inhibition of the alpha-amylase digestive enzyme impedes starch digestion by blocking access to the active site of the enzyme, thereby playing a role in the prevention of obesity and type 2 diabetes. Plant-derived alpha-amylase inhibitors (αAIs) are promising nonpharmacological alternatives for the [...] Read more.
The inhibition of the alpha-amylase digestive enzyme impedes starch digestion by blocking access to the active site of the enzyme, thereby playing a role in the prevention of obesity and type 2 diabetes. Plant-derived alpha-amylase inhibitors (αAIs) are promising nonpharmacological alternatives for the prevention of these diseases. Alpha-amylase inhibitor-1 (αAI-1) present in common bean (Phaseolus vulgaris) is derived from a precursor protein. In this study, the effect of digestion on the digestibility, immune reactivity, and bioactivity of αAI-1 was assessed from four varieties of Hungarian common bean (Phaseolus vulgaris), with special regard to the precursor protein. For this purpose, αAI-1 was tested in both matrix (native flour and cooked flour) and purified forms under in vitro and acute rat in vivo digestion experiments. The effect of digestion on αAI-1s was monitored by lab-on-a-chip (LOC) electrophoresis, SDS-PAGE/immunoblot, and inhibitory activity analyses by native PAGE. After both in vitro and in vivo digestion, we established that αAI-1 was not degraded even after 60 min gastric digestion and showed immune-reactive properties as well. Although the activity of the purified αAI-1 was lost, that of αAI-1 in the flour matrix (noncooked and cooked) was retained in the stomach. Presumably, in the beans, αAI-1 polypeptides became active due to the pepsin digestion of the precursor protein. The latter samples were also tested in vivo in the small intestine and their resistance and immune reactivity were observed, but αAI-1 did not show activity, as αAI-1 polypeptides were probably complexed by pancreatic amylases. From these results, we can assume that the αAI-1-rich bean protein preparation can affect the carbohydrate metabolism; thus, it could be a promising ingredient for weight loss purposes. Full article
(This article belongs to the Special Issue Advances in Food Metabolomics)
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<p>Protein pattern of LOC electrophoresis of <span class="html-italic">“purified αAI-1 protein”</span> samples of common beans. <b>Lanes:</b> L. molecular marker; 1. Huanita Dry bean “purified αAI-1 protein”; 2. Bush bean “purified αAI-1 protein”; 3. Red Kidney bean “purified αAI-1 protein”; 4. Pinto bean “purified αAI-1 protein”.</p>
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<p>Monitoring the effect of gastric in vitro digestion (for 2, 10, 30, and 60 min) on the resistance of the Pinto-bean-derived “purified αAI-1 protein” to digestion by 6/15% SDS-PAGE. <b>Lanes:</b> 1. pepsin; 2. Pinto bean “purified αAI-1 protein”; 3. BSA; 4. βLG; 5. Pinto bean “purified αAI-1 protein” after 2-min digestion; 6. BSA after 2-min digestion; 7. βLG after 2-min digestion; 8. Pinto bean “purified αAI-1 protein” after 10-min digestion; 9. BSA after 10-min digestion; 10. βLG after 10-min digestion; 11. Pinto bean “purified αAI-1 protein” after 30-min digestion; 12. BSA after 30-min digestion; 13. βLG after 30-min digestion; 14. Pinto bean “purified αAI-1 protein” after 60-min digestion; 15. BSA after 60-min digestion; 16. βLG after 60-min digestion.</p>
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<p>Monitoring the effect of gastric in vitro digestion (for 60 min) on the resistance to digestion of the “purified αAI-1 protein” of common beans by 6/15% SDS-PAGE (<b>A</b>) and on the immune reactivity of those by immunoblot using anti-bean αAI-1 rabbit IgG antibodies (<b>B</b>). <b>Lanes (A,B):</b> 1. Pinto bean “purified αAI-1 protein” (undigested); 2. Huanita Dry bean “purified αAI-1 protein” digested for 60 min; 3. Bush bean “purified αAI-1 protein” digested for 60 min; 4. Red Kidney bean “purified αAI-1 protein” digested for 60 min; 5. Pinto bean “purified αAI-1 protein” digested for 60 min.</p>
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<p>Monitoring the effect of gastric in vitro digestion (for 60 min) on the bioactivity of the “purified αAI-1 protein” of common beans by native PAGE. <b>Lanes (A) (“purified αAI-1 proteins”):</b> 1. Pinto bean “purified αAI-1 protein” (undigested); 2. Huanita Dry bean “purified αAI-1 protein” digested for 60 min; 3. Bush bean “purified αAI-1 protein” digested for 60 min; 4. Red Kidney bean “purified αAI-1 protein” digested for 60 min; 5. Pinto bean “purified αAI-1 protein” digested for 60 min; 6. wheat “purified αAI-1 protein” (undigested). <b>Lanes (B) (flours):</b> 1. Huanita Dry bean flour digested for 60 min; 2. Bush bean flour digested for 60 min; 3. Red Kidney bean flour digested for 60 min; 4. Pinto bean flour digested for 60 min; 5. wheat flour (undigested).</p>
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<p>Protein pattern of LOC electrophoresis of stomach and small intestinal digesta samples obtained from the acute rat model. <b>Lanes:</b> L. Molecular marker; 1. Pinto bean meal; 2. Pinto bean cooked meal; 3. Pinto bean “purified αAI-1 protein”; 4. control stomach digesta; 5. Pinto bean meal stomach digesta; 6. Pinto bean meal small intestinal digesta; 7. Pinto bean cooked meal stomach digesta; 8. Pinto bean cooked meal small intestinal digesta; 9. control small intestinal digesta.</p>
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<p>LOC electrophoretograms of stomach digesta samples obtained from the acute rat model. (<b>A</b>) Electrophoretograms of Pinto bean “purified αAI-1 protein” (red), where the retention times of the αAI-1 are 24.92; 26.22; 26.79; 27.52; 28.51; 29.23; and 30.12 sec (see in <a href="#applsci-14-10935-t001" class="html-table">Table 1</a>), and proteins extracted from stomach of control rat (blue). The retention times of the pepsin are 32.76 and 33.76 s. (<b>B</b>) Electrophoretograms of Pinto bean “purified αAI-1 protein” (red) and Pinto bean meal stomach digesta (blue), where the retention times of the αAI-1 are 24.36; 26.54; 27.81; and 29.54 s. (<b>C</b>) Electrophoretograms of Pinto bean “purified αAI-1 protein” (red) and Pinto bean cooked meal stomach digesta (blue). The retention times of the αAI-1 are 24.87; 25.91; 26.55; 27.93; and 29.75 s.</p>
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<p>Monitoring the effect of gastric in vivo digestion (for 60 min) on the resistance to digestion of the bean meals by 6/15% SDS-PAGE (<b>A</b>,<b>C</b>) and on the immune reactivity of those by immunoblot using anti-bean αAI-1 rabbit IgG antibodies (<b>B</b>,<b>D</b>). Lanes (<b>A</b>,<b>B</b>): 1. Pinto bean “purified αAI-1 protein”; 2. pepsin from porcine; 3. control meal stomach digesta; 4. Pinto bean meal stomach digesta; 5. Pinto bean meal small intestinal digesta; 6. control meal small intestinal digesta. Lanes (<b>C</b>,<b>D</b>): 1. Pinto bean “purified αAI-1 protein”; 2. pepsin from porcine; 3. control meal stomach digesta; 4. Pinto bean cooked meal stomach digesta; 5. Pinto bean cooked meal small intestinal digesta; 6. control meal small intestinal digesta.</p>
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<p>Monitoring the effect of in vivo digestion (for 60 min) on the bioactivity of αAI-1 in bean meals by native-PAGE. <b>Lanes</b>: 1. Pinto bean “purified αAI-1 protein”; 2. Pinto bean meal stomach digesta; 3. Pinto bean meal small intestinal digesta; 4. Pinto bean cooked meal stomach digesta; 5. Pinto bean cooked meal small intestinal digesta; 6. wheat “purified αAI-1 protein”; 7. Pinto bean “purified αAI-1 protein”; 8. control meal stomach digesta; 9. control meal small intestinal digesta.</p>
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14 pages, 1478 KiB  
Article
Stress-Related Hormonal and Psychological Changes to Simulated and Official Judo Black Belt Examination in Older Tori and Adult Uke: An Exploratory Observational Study
by Simone Ciaccioni, Francesca Martusciello, Andrea Di Credico, Flavia Guidotti, Daniele Conte, Federico Palumbo, Laura Capranica and Angela Di Baldassarre
Sports 2024, 12(11), 310; https://doi.org/10.3390/sports12110310 - 14 Nov 2024
Viewed by 590
Abstract
This study investigated the psycho-physiological impact of a black belt examination. Older brown-belt judoka (Tori, F = 2, M = 4; age = 75.6 ± 4.5 yrs) and their 2nd–5th Dan black-belt coaches (Uke; M = 6; age = 36.5 ± 10.8 yr) [...] Read more.
This study investigated the psycho-physiological impact of a black belt examination. Older brown-belt judoka (Tori, F = 2, M = 4; age = 75.6 ± 4.5 yrs) and their 2nd–5th Dan black-belt coaches (Uke; M = 6; age = 36.5 ± 10.8 yr) were evaluated during a simulated and official examination and a resting day. Participants’ trait anxiety (STAI-Y2) was recorded prior to the study. State anxiety (STAI-Y1), ratings of perceived exertion (RPE), enjoyment (ENJ), and fear of falling (FoF) were collected 15 min before and after the experimental conditions. Saliva samplings at awakening (T0), PRE (T1), and POST (T2) exercise and during the recovery (15 min-T3, 30 min-T4, 60 min-T5) were collected for cortisol (sC), testosterone (sT), and alpha-amylase (sAA). Participants showed normal age-reference population trait anxiety. A difference (p ≤ 0.05) for role emerged for ENJ and sT only. For STAI-Y1, higher PRE values with respect to POST ones emerged (p = 0.005), and the highest values (p = 0.007) for PRE of the examination were with respect to the simulation. For sAA, differences for sampling were found in the examination conditions only, with peak values at T2 (370.3 ± 78.6 U/mL, p = 0.001). For sC, a significant peak value (0.51 ± 0.09 μg/dL, p = 0.012) emerged at T2 in the examination condition. With respect to Tori, Uke showed higher mean sT values in all conditions (p ≤ 0.05) and the highest T2 during examination (712.5 ± 57.2 pg/mL). Findings suggest the relevance of monitoring psycho-physiological stress-related responses in judo for optimizing both coaching effectiveness and sport performance, especially in older judo practitioners. Full article
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<p>Means and standard errors of the mean (SEMs) of salivary alpha-amylase recorded at awakening (T0), before (T1) and after (T2) the exercise, and during the recovery (15 min-T3, 30 min-T4, 60 min-T5) phase of a simulated and official Judo black belt examination, and on a rest day. Note: * <span class="html-italic">p</span> = 0.001 T2 examination with respect to the other salivary alpha-amylase samplings.</p>
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<p>Means and standard errors of the mean (SEMs) of salivary cortisol recorded at awakening (T0), before (T1) and after (T2) the exercise, and during the recovery (15 min-T3, 30 min-T4, 60 min-T5) phase of a simulated and official judo black belt examination, and on a rest day. Notes: &amp; and # indicate differences between samplings for the resting (<span class="html-italic">p</span> &lt; 0.001) and simulation (<span class="html-italic">p</span> = 0.001) conditions, respectively. * indicates a difference (<span class="html-italic">p</span> = 0.012) between conditions at T2.</p>
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<p>Means and standard errors of the mean (SEMs) of sT for Tori and Uke across different time points. Note: (<b>A</b>) simulation, (<b>B</b>) examination, (<b>C</b>) rest. * indicates <span class="html-italic">p</span> &lt; 0.05 between groups.</p>
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<p>Means and standard errors of the mean (SEMs) of T/C at awakening (T0), before (T1) and after (T2) the exercise, during the recovery (15 min-T3, 30 min-T4, 60 min-T5) phase of a simulated and official Judo black belt examination, and on a rest day. Notes: &amp; indicates a difference (<span class="html-italic">p</span> &lt; 0.001) between samplings for the rest condition.</p>
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14 pages, 1180 KiB  
Article
Exploring Salivary Alpha-Amylase as a Biomarker in Periodontitis: A Comparative Analysis of Disease Stages and Clinical Correlations
by Nada Tawfig Hashim, Sadiah Fathima, Nurain Mohammad Hisham, Pooja Shivappa, Michael V. Magaogao, Md Sofiqul Islam, Sara Faisal Ahmed, Rasha Babiker and Muhammed Mustahsen Rahman
Curr. Issues Mol. Biol. 2024, 46(11), 12230-12243; https://doi.org/10.3390/cimb46110726 - 30 Oct 2024
Viewed by 1017
Abstract
Periodontal disease, characterized by bacterial plaque accumulation and subsequent immune response, can lead to gingivitis and periodontitis if untreated. Salivary alpha-amylase (sAA) has emerged as a potential biomarker with implications in periodontal disease progression. Objectives: This study aimed to assess and compare salivary [...] Read more.
Periodontal disease, characterized by bacterial plaque accumulation and subsequent immune response, can lead to gingivitis and periodontitis if untreated. Salivary alpha-amylase (sAA) has emerged as a potential biomarker with implications in periodontal disease progression. Objectives: This study aimed to assess and compare salivary alpha-amylase levels in individuals with periodontitis and healthy controls and to investigate its relationship with clinical parameters of periodontal disease. Forty-five participants were categorized into periodontally healthy (n = 13), Stage I and II Periodontitis (n = 17), and Stage III and IV periodontitis (n = 15) groups. Saliva samples were collected and analyzed using ELISA kits. Statistical analyses included tests for normality, group comparisons, post hoc analysis, and correlation analysis. Significant differences in salivary alpha-amylase levels were observed among severity groups (p < 0.05), with higher levels in periodontitis patients than healthy controls. Spearman correlation revealed moderate positive associations between alpha-amylase levels and probing depth (PD) and clinical attachment loss (CAL). Elevated salivary alpha-amylase levels were found to be associated with more severe periodontal disease, suggesting its potential as a biomarker for periodontitis severity. These findings support the utility of salivary biomarkers in periodontal disease diagnosis and monitoring, although further validation and standardization are warranted for clinical application. Full article
(This article belongs to the Collection Feature Papers in Molecular Medicine)
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<p>This figure illustrates the biological mechanisms through which salivary alpha-amylase (sAA) levels increase in response to periodontitis. Periodontitis triggers the release of pro-inflammatory cytokines (IL-6, IL-1β, and TNF-α), activating the sympathetic nervous system (SNS). This leads to the release of norepinephrine, which stimulates the salivary glands to produce more sAA. Systemic stress, caused by pain and immune response, further activates the hypothalamic–pituitary–adrenal (HPA) axis, leading to cortisol release, which also enhances SNS activity. The combined effect results in elevated sAA levels, linking periodontitis severity with stress and immune responses. Created by Biorender.com.</p>
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<p>Shows the distribution of cases across different severity categories.</p>
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<p>Summarizes Results for Salivary Alpha-Amylase Levels, Probing Depth (PD), and Clinical Attachment Loss (CAL) across Different Severity Levels of Periodontitis.</p>
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<p>A scatter plot showing the correlation between salivary alpha-amylase levels and probing depth in periodontitis patients. A moderate positive correlation is revealed between the salivary alpha-amylase levels and PD.</p>
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<p>A scatter plot showing the correlation between salivary alpha-amylase levels and CAL in periodontitis patients. A moderate positive correlation is revealed between the salivary alpha-amylase levels and CAL.</p>
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15 pages, 3926 KiB  
Article
Insights into Catechin–Copper Complex Structure and Biologic Activity Modulation
by Ionut I. Lungu, Oana Cioanca, Cornelia Mircea, Cristina Tuchilus, Alina Stefanache, Riana Huzum and Monica Hancianu
Molecules 2024, 29(20), 4969; https://doi.org/10.3390/molecules29204969 - 21 Oct 2024
Viewed by 905
Abstract
Compounds of natural origin found in varying quantities in plant-based products constitute a highly significant category, possessing structural significance as well as the capacity to regulate oxidative processes. The activity of these compounds may be modulated by the composition of the biological environment [...] Read more.
Compounds of natural origin found in varying quantities in plant-based products constitute a highly significant category, possessing structural significance as well as the capacity to regulate oxidative processes. The activity of these compounds may be modulated by the composition of the biological environment in which they operate, the pH of the environment, or the presence of metal cations in plants or plant extracts. A successful complexation reaction was mainly confirmed by FT-IR, observing the shift from the original transmittance of catechin bonds, especially O-H ones. This work shows the synthetic methodology and the optimization process that took place to synthesize a catechin–copper complex, which demonstrated antioxidant activity. It was tested for iron chelation ability, hydroxyl radicals, and the inhibition of lipoxygenase (15-LOX). An antidiabetic assay was performed by determining the inhibition of alpha-amylase and alpha-glucosidase, finding that the synthesized complex had similar inhibitory potential as pure catechin. The antibacterial tests showed results against Staphylococcus aureus and the antifungal properties of the complex against Candida albicans. Full article
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<p>Comparative UV-VIS spectra of catechin and the cat–Cu complex.</p>
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<p>Comparative FT-IR spectra of catechin and the cat–Cu complex.</p>
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<p>Proposed structure for the synthesized catechin–Cu(II) complex.</p>
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<p>SEM images for the cat–Cu complex, (<b>A</b>) ×1000; (<b>B</b>) ×5000; (<b>C</b>) ×19,998; (<b>D</b>) ×19,997.</p>
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<p>EDX of the synthesized cat–Cu complex.</p>
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<p>Graphical representation of the iron chelation capacity of the cat–Cu complex compared to that of catechin.</p>
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<p>Graphic representation of the activity of the cat–Cu complex that reduces lipoxygenase activity.</p>
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<p>Hydroxyl radical scavenger activity of the cat–Cu complex.</p>
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<p>Alpha-amylase inhibition potential for the cat–Cu complex.</p>
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<p>Graphic representation of alpha-glucosidase inhibition capacity of the cat–Cu complex compared to that of catechin.</p>
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13 pages, 860 KiB  
Article
Measurement of New Biomarkers of Immunity and Welfare in Colostrum and Milk of Pigs: Analytical Validation and Changes During Lactation
by María Botía, Damián Escribano, Eva Mainau, Alberto Muñoz-Prieto and José J. Cerón
Biology 2024, 13(10), 829; https://doi.org/10.3390/biology13100829 - 16 Oct 2024
Viewed by 834
Abstract
Colostrum is a mammary secretion released from the time of farrowing to 36 h post-farrowing. After this time and during all the rest of lactation, the mammary secretion is considered milk. The objectives of this study were: (1) to perform an analytical validation [...] Read more.
Colostrum is a mammary secretion released from the time of farrowing to 36 h post-farrowing. After this time and during all the rest of lactation, the mammary secretion is considered milk. The objectives of this study were: (1) to perform an analytical validation in the colostrum and milk of sows of assays for four analytes related to immunity: total ADA (tADA) and its isoenzymes (ADA1 and ADA2), myeloperoxidase (Mpx), calprotectin, and calgranulin, and two analytes related to welfare: cortisol and alpha-amylase. (2) To evaluate the changes in these analytes during lactation (3) To assess the correlations between these new analytes, as well as with IgG and IgA. In the analytical validation, all the assays were precise and accurate. When changes during lactation were evaluated, the concentration of tADA and ADA2 was found to be higher in colostrum than in milk (p < 0.02), while the activity of Mpx was observed to be higher in mature milk than in colostrum (p < 0.03). Furthermore, cortisol and alpha-amylase activity were found to be higher in colostrum compared to mature milk (p < 0.04 and p < 0.0001, respectively). Regarding the relation between analytes, alpha-amylase showed a significant correlation with both IgG and IgA and calprotectin was correlated with calgranulin and Mpx. Further studies should be performed to elucidate the possible practical application of the analytes evaluated in this study as biomarkers of colostrum and milk in sows. Full article
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<p>Changes in tADA (<b>A</b>), ADA1 (<b>B</b>), ADA2 (<b>C</b>), S100A12 (<b>D</b>), S100A8/A9 (<b>E</b>) and Mpx (<b>F</b>) in colostrum/milk samples obtained at one day (T1), nine days (T9) and twenty days (T20) after farrowing. Asterisks indicate significant differences (** <span class="html-italic">p</span> ≤ 0.01; * <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Changes in alpha-amylase (<b>A</b>) and cortisol (<b>B</b>) concentrations in colostrum/milk samples obtained at one day (T1), nine days (T9) and twenty days (T20) after farrowing. Asterisks indicate significant differences (*** <span class="html-italic">p</span> ≤ 0.001; * <span class="html-italic">p</span> ≤ 0.05).</p>
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18 pages, 2885 KiB  
Article
Effect of Degree of Substitution and Molecular Weight on Transfection Efficacy of Starch-Based siRNA Delivery System
by Amir Regev, Chen Benafsha, Riki Goldbart, Tamar Traitel, Moshe Elkabets and Joseph Kost
Polysaccharides 2024, 5(4), 580-597; https://doi.org/10.3390/polysaccharides5040037 - 7 Oct 2024
Viewed by 901
Abstract
RNA interference (RNAi) is a promising approach for gene therapy in cancers, but it requires carriers to protect and deliver therapeutic small interfering RNA (siRNA) molecules to cancerous cells. Starch-based carriers, such as quaternized starch (Q-Starch), have been shown to be biocompatible and [...] Read more.
RNA interference (RNAi) is a promising approach for gene therapy in cancers, but it requires carriers to protect and deliver therapeutic small interfering RNA (siRNA) molecules to cancerous cells. Starch-based carriers, such as quaternized starch (Q-Starch), have been shown to be biocompatible and are able to form nanocomplexes with siRNA, but significant electrostatic interactions between the carrier and siRNA prevent its release at the target site. In this study, we aim to characterize the effects of the degree of substitution (DS) and molecular weight (Mw) of Q-Starch on the gene silencing capabilities of the Q-Starch/siRNA transfection system. We show that reducing the DS reduces the electrostatic interactions between Q-Starch and siRNA, which now decomplex at more physiologically relevant conditions, but also affects additional parameters such as complex size while mostly maintaining cellular uptake capabilities. Notably, reducing the DS renders Q-Starch more susceptible to enzymatic degradation by α-amylase during the initial Q-Starch pretreatment. Enzymatic cleavage leads to a reduction in the Mw of Q-Starch, resulting in a 25% enhancement in its transfection capabilities. This study provides a better understanding of the effects of the DS and Mw on the polysaccharide-based siRNA delivery system and indicates that the polysaccharide Mw may be the key factor in determining the transfection efficacy of this system. Full article
(This article belongs to the Special Issue Latest Research on Polysaccharides: Structure and Applications)
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<p>(<b>A</b>) Reaction scheme for starch quaternization by CHMAC. (<b>B</b>) Q-Starch<sub>(DS)</sub> nitrogen content as function of amount of quaternization reagent. (<b>C</b>) FTIR spectrum of native starch and different Q-Starches. (<b>D</b>) Magnification of relevant peak in FTIR spectrum of (<b>C</b>).</p>
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<p>(<b>A</b>) Representative mechanism for Q-Starch<sub>(DS)</sub>/siRNA complex formation through self-assembly. (<b>B</b>) Q-Starch<sub>(0.12)</sub>/siRNA complex formation evaluated by agarose gel electrophoresis at increasing N/P molar ratios. (<b>C</b>) Zeta potential of Q-Starch<sub>(DS)</sub>/siRNA complexes at increasing DS at N/P molar ratios of 1, 2, and 3.</p>
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<p>(<b>A</b>) An illustration depicting the ionic strength agarose gel electrophoresis experimental procedure; free siRNA is observed after complex exposure to increasing ionic strength. (<b>B</b>) The agarose gel electrophoresis of Q-Starch<sub>(0.12)</sub>/siRNA complexes formed at an N/P molar ratio of 2 at increasing ionic strengths. (<b>C</b>) NaCl concentration in which decomplexation (free siRNA) was first observed in each Q-Starch<sub>(DS)</sub> at an N/P ratio of 2. (<b>D</b>) Particle size distribution for Q-Starch<sub>(DS)</sub>/siRNA complexes at an N/P molar ratio of 2. (<b>E</b>) The mean particle size for the different Q-Starch<sub>(DS)</sub>/siRNA complexes at an N/P molar ratio of 2. (<b>F</b>) Two representative cryoTEM images of Q-Starch<sub>(0.12)</sub>/siRNA complexes (marked with a red arrows) at an N/P molar ratio of 2.</p>
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<p>(<b>A</b>) An illustration depicting the ionic strength agarose gel electrophoresis experimental procedure; free siRNA is observed after complex exposure to increasing ionic strength. (<b>B</b>) The agarose gel electrophoresis of Q-Starch<sub>(0.12)</sub>/siRNA complexes formed at an N/P molar ratio of 2 at increasing ionic strengths. (<b>C</b>) NaCl concentration in which decomplexation (free siRNA) was first observed in each Q-Starch<sub>(DS)</sub> at an N/P ratio of 2. (<b>D</b>) Particle size distribution for Q-Starch<sub>(DS)</sub>/siRNA complexes at an N/P molar ratio of 2. (<b>E</b>) The mean particle size for the different Q-Starch<sub>(DS)</sub>/siRNA complexes at an N/P molar ratio of 2. (<b>F</b>) Two representative cryoTEM images of Q-Starch<sub>(0.12)</sub>/siRNA complexes (marked with a red arrows) at an N/P molar ratio of 2.</p>
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<p>Cellular uptake and gene silencing of Q-Starch<sub>(DS)</sub>/siRNA complexes. (<b>A</b>) Mean cy5 intensity following 24 h of incubation with Q-Starch<sub>(DS)</sub> complexes as assessed via FACSAria III; (<b>B</b>) EGFR gene mRNA expression following 72 h of incubation with Q-Starch<sub>(DS)</sub> complexes as assessed via RT-PCR (ns: no statistical significance).</p>
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<p>(<b>A</b>) Illustration depicting expected experimental results for iodine test following Q-Starch<sub>(DS)</sub> cleavage, together with experimental results for Q-Starch<sub>(0.12)</sub>. (<b>B</b>) Required α-amylase concentration for Q-Starch<sub>(DS)</sub> cleavage at different DSs via iodine starch test. (n = 3) (<b>C</b>) Shear viscosity as function of applied shear rate for Q-Starch<sub>(0.59)</sub> and Q-Starch<sub>(0.30)</sub> before and after cleavage with α-amylase enzyme. (<b>D</b>) Agarose gel electrophoresis results of Q-Starch <sub>(0.30)</sub>/siRNA and Q-Starch <sub>(0.59)</sub>/siRNA complexes with or without pre-cleavage of Q-Starch with α-amylase enzyme at 1:1 wt. %. All complexes were formed at N/P molar ratio of 2. (<b>E</b>) RT-PCR results of EGFR gene mRNA expression in Cal33 cells, 72 h post-transfection with Q-Starch<sub>(0.59)</sub>/siRNA complexes; four examined groups include cells treated with Q-Starch<sub>(DS)</sub>/siRNA<sup>NC5</sup> and Q-Starch<sub>(DS)</sub>/siRNA<sup>EGFR</sup> complexes at siRNA concentration of 50 nM, N/P molar ratio of 2, with and without pre-cleavage of Q-Starch<sub>(0.59)</sub> with α-amylase 24 h before transfection. Average + SEM (n = 3). ns: not statistically significant (<span class="html-italic">p</span> &gt; 0.05), *: statistically significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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16 pages, 1702 KiB  
Article
The Presence of a Pet Dog Is Associated with a More Balanced Response to a Social Stressor
by Jaci Gandenberger, Aurélie Ledreux, Ashley Taeckens, Kerry Murphy, Jenni Forkin, Anah Gilmore and Kevin N. Morris
Stresses 2024, 4(3), 598-613; https://doi.org/10.3390/stresses4030038 - 23 Sep 2024
Viewed by 1442
Abstract
Acute and chronic stress each have physical manifestations in the human body that can lead to many negative health impacts. Today, reported stress levels worldwide are at an all-time high, spurring the search for non-pharmaceutical interventions to maintain healthy stress levels. In this [...] Read more.
Acute and chronic stress each have physical manifestations in the human body that can lead to many negative health impacts. Today, reported stress levels worldwide are at an all-time high, spurring the search for non-pharmaceutical interventions to maintain healthy stress levels. In this study, we examined whether a pet dog’s presence influences healthy adults’ acute stress responses as assessed through self-reports, heart rate, plasma cortisol, and salivary alpha-amylase. Participating pet dog owners were randomly assigned to undergo the Trier Social Stress Test either with their pet dog or alone. While there was no group difference in perceived anxiety levels, participants undergoing the acute psychological stressor with their pet dogs present had significantly lower heart rates, lower plasma cortisol responses, and higher salivary alpha-amylase responses than people without their dogs. Those who participated without their dogs had a statistically flat alpha-amylase response, which is typically associated with extreme or pathological stress. These findings extend the potential effects of pet dogs beyond merely lowering their owner’s stress levels to maintaining a healthier, balanced response across the sympathoadrenal medullary axis and hypothalamic–pituitary-adrenal axis. Full article
(This article belongs to the Collection Feature Papers in Human and Animal Stresses)
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<p>Measures of stress across time in experimental and control groups. (<b>A</b>) Anxiety scores (STAI), (<b>B</b>) heart rate (beat per minute), (<b>C</b>) plasma cortisol levels, and (<b>D</b>) salivary alpha-amylase levels. Data are represented as mean ± SEM. (* <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Percentage change in stress response for each pair of time points between groups. (<b>A</b>) Percent changes for anxiety scores (STAI), (<b>B</b>) percent changes for heart rate, (<b>C</b>) percent changes for plasma cortisol levels, and (<b>D</b>) percent changes for salivary alpha-amylase levels. Data are represented as mean ± SEM. (* <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01).</p>
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13 pages, 4550 KiB  
Article
Oleuropein Relieves Pancreatic Ischemia Reperfusion Injury in Rats by Suppressing Inflammation and Oxidative Stress through HMGB1/NF-κB Pathway
by Maged S. Abdel-Kader, Rehab F. Abdel-Rahman, Gamal A. Soliman, Hanan A. Ogaly, Mohammed A. Alamri and Abdulrahman G. Alharbi
Int. J. Mol. Sci. 2024, 25(18), 10171; https://doi.org/10.3390/ijms251810171 - 22 Sep 2024
Viewed by 912
Abstract
Oleuropein (OLP) is a naturally occurring phenolic compound in olive plant with antioxidant and anti-inflammatory potential and can possibly be used in treating pancreatic injuries. This investigation aimed to follow the molecular mechanism behind the potential therapeutic effect of OLP against pancreatic injury [...] Read more.
Oleuropein (OLP) is a naturally occurring phenolic compound in olive plant with antioxidant and anti-inflammatory potential and can possibly be used in treating pancreatic injuries. This investigation aimed to follow the molecular mechanism behind the potential therapeutic effect of OLP against pancreatic injury persuaded by ischemia–reperfusion (I/R). Pancreatic I/R injury was induced by splenic artery occlusion for 60 min followed by reperfusion. Oral administration of OLP (10 and 20 mg/kg) for 2 days significantly alleviated I/R-persuaded oxidative damage and inflammatory responses in pancreatic tissue as indicated by the decreased malondialdehyde (MDA) content and increased glutathione peroxidase (GPx) activity, accompanied by the suppression of myeloperoxidase (MPO) activity and reduced levels of interleukin-1beta (IL-1β), nuclear factor kappa B (NF-κB), and tumor necrosis factor alpha (TNF-α) in pancreatic tissues. Furthermore, OLP treatment markedly restored the serum levels of amylase, trypsinogen-activated peptide (TAP), and lipase, with concurrent improvement in pancreatic histopathological alterations. Moreover, treatment with OLP regulated the pancreatic expression of inducible nitric oxide synthase (iNOS) and high-mobility group box 1 (HMGB1) relative to rats of the pancreatic IR group. Thus, OLP treatment significantly alleviates the I/R-induced pancreatic injury by inhibiting oxidative stress and inflammation in rats through downregulation of HMGB1 and its downstream NF-κB signaling pathway. Full article
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<p>Structure formula of oleuropein (OLP).</p>
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<p>Effect of OLP on HMGB1 gene expression.</p>
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<p>Photomicrographs of rats’ liver (stained with H&amp;E × 400): (<b>i</b>) <b>Sham</b> showing normal histological structure of liver; (<b>ii</b>) <b>IR control</b> showing congestion of portal blood vessels (C) with infiltration of portal area by low number of mononuclear inflammatory cells (I) and presence of vacuolar degeneration in some hepatocytes (V); (<b>iii</b>) <b>OLP-10</b> showing congestion of central vein (C) with activation of van Kupffer cells (Va) and presence of low number of mononuclear inflammatory cells (I) in hepatic sinusoids; and (<b>iv</b>) <b>OLP-20:</b> photomicrograph showing dilatation of hepatic sinusoids (D) with activation of Van Kupffer cells (Va) and presence of low numbers of mononuclear inflammatory cells (I) in sinusoids.</p>
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<p>Photomicrographs of rats’ pancreas (stained with H&amp;E × 400): (<b>i</b>) <b>Sham</b> showing normal histological structure of pancreas; (<b>ii</b>) <b>IR control</b> showing hemorrhage between pancreatic acini (arrow) with edema (arrow head), necrobiotic changes in some pancreatic acini (star). Presence of necrobiotic changes in some pancreatic acini; (<b>iii</b>) <b>OLP-10</b> showing hemorrhage between pancreatic acini (H) with edema (E); and (<b>iv</b>) <b>OLP-20:</b> photomicrograph showing congestion of pancreatic blood vessels (C) with pancreatic edema (E).</p>
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<p>Immunohistochemical examination of iNOS in pancreatic tissue (stained with IHC-peroxidase–DAB × 400): (<b>i</b>) <b>Sham</b> showing negative reaction for iNOS in pancreatic acini; (<b>ii</b>) <b>IR control</b> showing strong positive reaction for iNOS in nuclei of pancreatic acini (arrow); (<b>iii</b>) <b>OLP-10</b> showing moderate positive reaction for iNOS in cytoplasm of pancreatic acini (arrows); and (<b>iv</b>) <b>OLP-20</b> showing very mild positive reaction for iNOS in cytoplasm of pancreatic acini (arrow).</p>
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<p>Effect of OLP on pancreatic iNOS.</p>
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17 pages, 2355 KiB  
Article
Transcriptome Analysis Reveals the Mechanism of Cold-Induced Sweetening in Chestnut during Cold Storage
by Chun Zhan, Ruqi Jia, Shuzhen Yang, Meihong Zhang and Litao Peng
Foods 2024, 13(17), 2822; https://doi.org/10.3390/foods13172822 - 5 Sep 2024
Viewed by 780
Abstract
Chestnuts become sweetened with better tastes for fried products after cold storage, but the possible mechanism is not clear. The dynamics of sugar components and related physiological responses, as well as the possible molecular mechanism in chestnuts during cold storage, were investigated. Sucrose [...] Read more.
Chestnuts become sweetened with better tastes for fried products after cold storage, but the possible mechanism is not clear. The dynamics of sugar components and related physiological responses, as well as the possible molecular mechanism in chestnuts during cold storage, were investigated. Sucrose accumulation and starch degradation contributed to taste improvement. Sucrose content reached the peak after two months of cold storage, along with the accumulation of reducing sugars of maltose, fructose and glucose to a much lesser extent. Meanwhile, alpha-amylase and beta-amylase maintained high levels, and the activities of acid invertase and sucrose synthase increased. Transcriptome data demonstrated that differentially expressed genes (DEGs) were significantly enriched in the process of starch and sucrose metabolism pathway, revealing the conversion promotion of starch to sucrose. Furthermore, DEGs involved in multiple phytohormone biosynthesis and signal transduction, as well as the transcription regulators, indicated that sucrose accumulation might be interconnected with the dormancy release of chestnuts, with over 90% germinated after two months of cold storage. Altogether, the results indicated that cold storage improved the taste of chestnuts mainly due to sucrose accumulation induced by DEGs of starch and sucrose metabolism pathway in this period, and the sweetening process was interconnected with dormancy release. Full article
(This article belongs to the Section Food Analytical Methods)
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<p>Profiles of several sugar contents in chestnuts measured by high-performance liquid chromatography (<b>A</b>) and changes in the contents of fructose (<b>B</b>), sucrose (<b>C</b>), glucose (<b>D</b>) and maltose (<b>E</b>) of chestnuts during cold storage for 1, 2 and 4 months. Fructose peaked at 8.390 min, glucose at 9.160 min, sucrose at 12.247 min and maltose at 13.884 min. Values in a column marked with a, b, c indicate significant differences between 1M, 2M and 4M samples (<span class="html-italic">p</span> &lt; 0.05). In consideration of the magnitude of the group means, the most elevated value is designated as “a”, followed by “b”, with the least significant represented by “c”.</p>
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<p>Changes in the activities of α-amylase (<b>A</b>), β-amylase (<b>B</b>), total amylase (<b>C</b>), acid invertase (<b>D</b>) and sucrose synthase (<b>E</b>) of chestnuts during cold storage. Values in a column marked with a, b, c indicate significant differences between 1M, 2M and 4M samples, which were stored for the same period of time (<span class="html-italic">p</span> &lt; 0.05). In consideration of the magnitude of the group means, the most elevated value is designated as “a”, followed by “b”, with the least significant represented by “c”.</p>
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<p>Heatmap of expression levels of DEGs of chestnut sucrose starch metabolism at different times during cold storage, generated based on log<sub>2</sub> (fold change), where red represents a high level of expression and blue a low level. All three groups above were compared with 1M. The gene for INV is beta-fructofuranosidase. The gene for HK is hexokinase. The two genes for ADPase are glucose-1-phosphate adenylyltransferase. The three genes responsible for AMY are alpha-amylase. The gene for beta-amylase is BMY. The two genes for SBE are 1,4-alpha-glucan branching enzymes. The three genes for GBSS are granule-bound starch synthase. The three genes responsible for SuSy are sucrose synthase. The three genes responsible for GLGP are glycogen phosphorylase. The gene name of SPS is sucrose phosphate synthase. The two gene names of CELB are endoglucanase.</p>
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<p>Heatmap of expression levels of DEGs of chestnut phytohormone biosynthesis (<b>A</b>) and chestnut phytohormone signal transduction (<b>B</b>) at different times during cold storage, generated based on log<sub>2</sub> (fold change), where red represents a high level of expression and blue a low level. All three groups above were compared with 1M. The gene for NCED is 9-cis-epoxycarotenoid dioxygenase. The nine genes responsible for ABA2 are xanthoxin dehydrogenase. The gene for KO is ent-kaurene oxidase. The two genes for KAO are ent-kaurenoic acid monooxygenase. The three genes for GA2ox are gibberellin 2beta-dioxygenase. The two genes responsible for SAMS are the S-adenosylmethionine synthetase. The gene responsible for ACS is the 1-aminocyclopropane-1-carboxylate synthase. The three gene names of ACO are aminocyclopropanecarboxylate oxidase. The fourth gene name of LOX is lipoxygenase. The gene name of AOS is hydroperoxide dehydratase. The three gene names of OPR are 12-oxophytodienoic acid reductase. The gene for AUX1 is auxin influx carrier (AUX1 LAX family). The two genes for TIR1 are transport inhibitor response 1. The six genes for AUXIAA are auxin-responsive protein IAA. The three genes for ARF are auxin response factors. The three genes for SAUR are the SAUR family protein. The gene for CRE1 is arabidopsis histidine kinase 2/3/4 (cytokinin receptor). The gene for AHP is histidine-containing phosphotransfer protein. The four genes for B-ARR are two-component response regulator ARR-B family. The gene for A-ARR is a two-component response regulator ARR-A family. The seven genes for GID1 are auxin gibberellin receptor GID1. The eight genes for DELLA are DELLA proteins. The three genes for PYRPYL are the abscisic acid receptor PYR/PYL family. The five genes for PP2C are protein phosphatase 2C. The two genes for SnRK2 are threonine–protein kinase SRK2. The two genes for ABF are ABA-responsive element binding factors. The gene for EIN2 is ethylene-insensitive protein 2. The two genes for BAK1 are brassinosteroid insensitive 1-associated receptor kinase 1. The eleven genes for BRI1 are protein brassinosteroid insensitive 1. The two genes for BSK are BR-signaling kinase. The gene for BIN2 is protein brassinosteroid insensitive 2. The two genes for BZR12 are brassinosteroid resistant 1/2. The five genes for TCH4 are xyloglucan:xyloglucosyl transferase TCH5. The gene for CYCD3 is cyclin D3. The gene for JAZ is a Jasmonate ZIM domain-containing protein. The five genes for MYC2 are transcription factor MYC2. The two genes for NPR1 are regulatory protein NPR1. The two genes for TGA are transcription factor TGA. The gene for PR-1 is pathogenesis-related protein 1. The arrows in the figure refer to activation and the dotted lines refer to a change of state.</p>
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<p>Number of transcription factor differential expressed genes in chestnut under cold storage and Heatmap of relative expression levels of typical MYB and AP2-EREBP transcription factors.</p>
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<p>Effects of different storage periods on seed sprouting rates of chestnuts stored at 0 °C. Values in a column marked with a, b, c indicate significant differences between 1M, 2M and 4M samples, which were stored for the same period of time (<span class="html-italic">p</span> &lt; 0.05). In consideration of the magnitude of the group means, the most elevated value is designated as “a”, followed by “b”, then “c”, with the least significant represented by “d”.</p>
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