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Search Results (616)

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12 pages, 881 KiB  
Review
From a Cup of Tea to Cardiovascular Care: Vascular Mechanisms of Action
by Marios Sagris, Panayotis K. Vlachakis, Spyridon Simantiris, Panagiotis Theofilis, Maria Gerogianni, Paschalis Karakasis, Konstantinos Tsioufis and Dimitris Tousoulis
Life 2024, 14(9), 1168; https://doi.org/10.3390/life14091168 (registering DOI) - 15 Sep 2024
Viewed by 192
Abstract
Tea consumption is increasingly recognized for its potential benefits to cardiovascular health. This study reviews the available research, concentrating on the major components of tea and their mechanisms of action in the cardiovascular system. Tea is abundant in bioactive compounds, such as flavonoids [...] Read more.
Tea consumption is increasingly recognized for its potential benefits to cardiovascular health. This study reviews the available research, concentrating on the major components of tea and their mechanisms of action in the cardiovascular system. Tea is abundant in bioactive compounds, such as flavonoids and polysaccharides, which possess significant antioxidant and anti-inflammatory properties. These compounds play a crucial role in mitigating oxidative stress and inflammation, thereby supporting cardiovascular health. They enhance endothelial function, leading to improved vascular relaxation and reduced arterial stiffness, and exhibit antithrombotic effects. Additionally, regular tea consumption is potentially associated with better regulation of blood pressure, improved cholesterol profiles, and effective blood sugar control. It has been suggested that incorporating tea into daily dietary habits could be a practical strategy for cardiovascular disease prevention and management. Despite the promising evidence, more rigorous clinical trials are needed to establish standardized consumption recommendations and fully understand long-term effects. This review offers a more comprehensive analysis of the current evidence based on endothelium function and identifies the gaps that future research should address. Full article
(This article belongs to the Special Issue Diet and Vascular Disease)
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<p>Chemical components of tea and their influence on the endothelium.</p>
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<p>Tea targets in cardiovascular health. Created with <a href="https://www.biorender.com/" target="_blank">https://www.biorender.com/</a>.</p>
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14 pages, 2899 KiB  
Review
YAP/TAZ Signaling in the Pathobiology of Pulmonary Fibrosis
by Kostas A. Papavassiliou, Amalia A. Sofianidi, Fotios G. Spiliopoulos, Vassiliki A. Gogou, Antonios N. Gargalionis and Athanasios G. Papavassiliou
Cells 2024, 13(18), 1519; https://doi.org/10.3390/cells13181519 - 10 Sep 2024
Viewed by 205
Abstract
Pulmonary fibrosis (PF) is a severe, irreversible lung disease characterized by progressive scarring, with idiopathic pulmonary fibrosis (IPF) being the most prevalent form. IPF’s pathogenesis involves repetitive lung epithelial injury leading to fibroblast activation and excessive extracellular matrix (ECM) deposition. The prognosis for [...] Read more.
Pulmonary fibrosis (PF) is a severe, irreversible lung disease characterized by progressive scarring, with idiopathic pulmonary fibrosis (IPF) being the most prevalent form. IPF’s pathogenesis involves repetitive lung epithelial injury leading to fibroblast activation and excessive extracellular matrix (ECM) deposition. The prognosis for IPF is poor, with limited therapeutic options like nintedanib and pirfenidone offering only modest benefits. Emerging research highlights the dysregulation of the yes-associated protein (YAP)/transcriptional coactivator with PDZ-binding motif (TAZ) signaling pathway as a critical factor in PF. YAP and TAZ, components of the Hippo pathway, play significant roles in cell proliferation, differentiation, and fibrosis by modulating gene expression through interactions with TEA domain (TEAD) transcription factors. The aberrant activation of YAP/TAZ in lung tissue promotes fibroblast activation and ECM accumulation. Targeting the YAP/TAZ pathway offers a promising therapeutic avenue. Preclinical studies have identified potential treatments, such as trigonelline, dopamine receptor D1 (DRD1) agonists, and statins, which inhibit YAP/TAZ activity and demonstrate antifibrotic effects. These findings underscore the importance of YAP/TAZ in PF pathogenesis and the potential of novel therapies aimed at this pathway, suggesting a new direction for improving IPF treatment outcomes. Further research is needed to validate these approaches and translate them into clinical practice. Full article
(This article belongs to the Special Issue Cellular Signaling and Therapeutic Approaches of Pulmonary Fibrosis)
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<p>YAP/TAZ signaling pathway in the pathogenesis of PF. YAP and TAZ are highly expressed in fibrotic lung tissue, with TAZ showing prominent nuclear expression in spindle-shaped fibroblastic cells. At a molecular level, TBK1 and SPHK1 promote the fibrotic effects of YAP/TAZ, which are regulated through interactions with PAI-1 and Twist1. TGF-β signaling augments the expression of PAI-1. (<b>A</b>) The role of YAP/TAZ in the TGF-β cascade. GPCR ligands, such as LPA, S1P, and thrombin, facilitate the accumulation of YAP in the nucleus through the mediation of Rho. TGF-β activates Smad2/3/4 complexes, leading to their translocation into the nucleus, where they utilize YAP as a coactivator to drive the transcription of fibrogenic YAP/Smad target genes. (<b>B</b>) In the pathogenesis of IPF, YAP/TAZ interacts with several other signaling pathways, such as EGFR, Wnt, and Notch, to promote lung fibroblast activation and pulmonary fibrosis. This figure was created based on the tools provided by Biorender.com (<a href="https://biorender.com/" target="_blank">https://biorender.com/</a>; accessed 5 August 2024). EGFR: epidermal growth factor receptor, GPCR: G protein-coupled receptor, IPF: idiopathic pulmonary fibrosis, LPA: lysophosphatidic acid, PAI-1: plasminogen activator inhibitor-1, Rho: ras homolog family member, S1P: sphingosine-1-phosphate, Smad: mothers against decapentaplegic homolog, SPHK1: sphingosine kinase 1, TAZ: transcriptional coactivator with PDZ-binding motif, TBK1: TANK binding kinase 1, TGF-β: transforming growth factor beta, Twist1: Twist Family BHLH transcription factor 1, Wnt: wingless-related integration site, YAP: yes-associated protein.</p>
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<p>The role of YAP/TAZ in regulating glycolytic reprogramming in lung fibrosis. YAP/TAZ enhances the expression of glycolytic enzymes, boosting glucose metabolism and lactate production. Integrins, through signaling pathways like PI3K/Akt and MAPK/ERK, further regulate glycolysis, impacting glucose utilization and energy metabolism. Integrins/FAK regulate glycolysis via the YAP/TAZ axis. This axis facilitates the nuclear translocation of YAP/TAZ, enhancing their fibrotic effects. Additionally, HK2, a key glycolytic enzyme, is crucial for YAP/TAZ nuclear translocation. The activation of lung fibroblasts is often marked by upregulation of glycolytic enzymes, such as PFK1, which interacts with YAP/TAZ coactivator TEADs, promoting fibroblast differentiation. This figure was created based on the tools provided by Biorender.com (<a href="https://biorender.com/" target="_blank">https://biorender.com/</a>; accessed 5 August 2024). Akt: protein kinase B, ERK: extracellular signal-regulated kinase, FAK: focal adhesion kinase, HK2: hexokinase 2, MAPK: mitogen-activated protein kinase, PI3K: phosphoinositide 3-kinase, PFK1: phosphofructokinase-1, TEADs: TEA domain transcription factors, YAP: yes-associated protein, TAZ: transcriptional coactivator with PDZ-binding motif.</p>
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14 pages, 2783 KiB  
Article
The Effects of Rice Bran on Neuroinflammation and Gut Microbiota in Ovariectomized Mice Fed a Drink with Fructose
by Yu-Wen Chao, Yu-Tang Tung, Suh-Ching Yang, Hitoshi Shirakawa, Li-Han Su, Pei-Yu Loe and Wan-Chun Chiu
Nutrients 2024, 16(17), 2980; https://doi.org/10.3390/nu16172980 - 4 Sep 2024
Viewed by 662
Abstract
Rice bran, which is abundant in dietary fiber and phytochemicals, provides multiple health benefits. Nonetheless, its effects on neuroinflammation and gut microbiota in postmenopausal conditions are still not well understood. This study investigated the effects of rice bran and/or tea seed oil supplementation [...] Read more.
Rice bran, which is abundant in dietary fiber and phytochemicals, provides multiple health benefits. Nonetheless, its effects on neuroinflammation and gut microbiota in postmenopausal conditions are still not well understood. This study investigated the effects of rice bran and/or tea seed oil supplementation in d-galactose-injected ovariectomized (OVX) old mice fed a fructose drink. The combination of d-galactose injection, ovariectomy, and fructose drink administration creates a comprehensive model that simulates aging in females under multiple metabolic stressors, including oxidative stress, estrogen deficiency, and high-sugar diets, and allows the study of their combined impact on metabolic disorders and related diseases. Eight-week-old and 6–8-month-old female C57BL/6 mice were used. The mice were divided into six groups: a sham + young mice, a sham + old mice, an OVX + soybean oil, an OVX + soybean oil with rice bran, an OVX + tea seed oil (TO), and an OVX + TO with rice bran diet group. The OVX groups were subcutaneously injected with d-galactose (100 mg/kg/day) and received a 15% (v/v) fructose drink. The rice bran and tea seed oil supplementation formed 10% of the diet (w/w). The results showed that the rice bran with TO diet increased the number of short-chain fatty acid (SCFA)-producing Clostridia and reduced the number of endotoxin-producing Tannerellaceae, which mitigated imbalances in the gut–liver–brain axis. Rice bran supplementation reduced the relative weight of the liver, levels of hepatic triglycerides and total cholesterol; aspartate transaminase and alanine aminotransferase activity; brain levels of proinflammatory cytokines, including interleukin-1β and tumor necrosis factor-α; and plasma 8-hydroxy-2-deoxyguanosine. This study concludes that rice bran inhibits hepatic fat accumulation, which mitigates peripheral metaflammation and oxidative damage and reduces neuroinflammation in the brain. Full article
(This article belongs to the Special Issue Dietary Fiber, Gut Microbiota and Metabolic Disorder)
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<p>Effects of rice bran and tea seed oil supplementation on body and uterine weight. (<b>A</b>) Initial body weight, (<b>B</b>) final body weight, (<b>C</b>) body weight change during the experiment, (<b>D</b>) relative uterine weight, (<b>E</b>) fasting glucose, (<b>F</b>) insulin, and (<b>G</b>) HOMA-IR index. HOMA-IR: homeostatic model assessment for insulin resistance; SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX + tea seed oil with rice bran diet; OVX: ovariectomized. Values are presented as the mean ± SEM (<span class="html-italic">n</span> = 8). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group. Different letters indicate significant differences between the OVX groups.</p>
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<p>Effects of rice bran and tea seed oil supplementation on lipid levels and liver function. Plasma (<b>A</b>) TG and (<b>B</b>) TC and hepatic (<b>C</b>) TG and (<b>D</b>) TC levels; (<b>E</b>) relative liver weight; and (<b>F</b>) AST and (<b>G</b>) ALT activities. SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX mice + tea seed oil with rice bran diet; TG: triglyceride; TC: total cholesterol; AST: aspartate transaminase; ALT: alanine transaminase; OVX: ovariectomized. Values are presented as the mean ± SEM (<span class="html-italic">n</span> = 8). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group. Different letters indicate significant differences between the OVX groups.</p>
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<p>Effects of rice bran and tea seed oil supplementation on the (<b>A</b>) concentration of 8-OHdG in plasma and the levels of (<b>B</b>) IL-1β, (<b>C</b>) IL-6, and (<b>D</b>) TNF-α in the frontal cortex of the brain. SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX mice + tea seed oil with rice bran diet; 8-OHdG: 8-hydroxy-2-deoxyguanosine; OVX: ovariectomized; IL: interleukin; TNF-α: tumor necrosis factor-α. Values are presented as the mean ± SEM (<span class="html-italic">n</span> = 6–7). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group. Different letters indicate significant differences between the OVX groups.</p>
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<p>Effects of rice bran and tea seed oil supplementation on cognitive performance in the Morris water maze. (<b>A</b>) Escape latency during the acquisition trial and the (<b>B</b>) time spent and (<b>C</b>) path length in the target quadrant during the probe trial after the platform removal. SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX mice + tea seed oil with rice bran diet; OVX: ovariectomized. Values are presented as the mean ± SEM (<span class="html-italic">n</span> =6–7). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group.</p>
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<p>Effects of rice bran and tea seed oil supplementation on gut microbial composition and short-chain fatty acid levels. (<b>A</b>) Alpha diversity of the gut microbiota. (<b>B</b>) The relative abundance of gut microbiota at the family level. (<b>C</b>) Greatest differences in the gut microbiota between the different groups. Only taxa with a significant LDA threshold value of &gt;3 are shown. (<b>D</b>) Relative abundance of <span class="html-italic">c_Clostridia</span> and <span class="html-italic">f_Tannerellaceae</span>. (<b>E</b>) Short-chain fatty acids (acetate, propionate, and butyrate). (<b>F</b>) The correlation between butyrate and <span class="html-italic">Clostridia</span> and <span class="html-italic">Tannerellaceae</span>. LDA: linear discriminant analysis; SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX mice + tea seed oil with rice bran diet. Values are presented as the mean ± SEM (<span class="html-italic">n</span> = 5). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group. Different letters indicate significant differences between the OVX groups.</p>
Full article ">Figure 5 Cont.
<p>Effects of rice bran and tea seed oil supplementation on gut microbial composition and short-chain fatty acid levels. (<b>A</b>) Alpha diversity of the gut microbiota. (<b>B</b>) The relative abundance of gut microbiota at the family level. (<b>C</b>) Greatest differences in the gut microbiota between the different groups. Only taxa with a significant LDA threshold value of &gt;3 are shown. (<b>D</b>) Relative abundance of <span class="html-italic">c_Clostridia</span> and <span class="html-italic">f_Tannerellaceae</span>. (<b>E</b>) Short-chain fatty acids (acetate, propionate, and butyrate). (<b>F</b>) The correlation between butyrate and <span class="html-italic">Clostridia</span> and <span class="html-italic">Tannerellaceae</span>. LDA: linear discriminant analysis; SY: sham + young mice; SO: sham + old mice; OS: OVX mice + soybean oil diet; OSR: OVX mice + soybean oil with rice bran diet; OT: OVX mice + tea seed oil diet; OTR: OVX mice + tea seed oil with rice bran diet. Values are presented as the mean ± SEM (<span class="html-italic">n</span> = 5). Asterisks (*) indicate significant differences between the SO or OS group compared with the SY group. Different letters indicate significant differences between the OVX groups.</p>
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<p>Heatmap of linear regression for biomarkers of the brain and liver with specific gut microbiota. IL: interleukin; TNF-α: tumor necrosis factor-α; ALT: alanine transaminase; AST: aspartate transaminase; TC: total cholesterol; TG: triglyceride. Colors were assigned according to the distribution of the Pearson correlation coefficient: red and blue represent positive and negative correlations, respectively. * <span class="html-italic">p</span> &lt; 0.05, significant correlations.</p>
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18 pages, 2283 KiB  
Article
Effect of Streptomyces costaricanus Strain A-m1 as a Bioinoculant on Tea Garden Soil and Tea Quality
by Zhou Zhou, Yongli Li, Linlin Duan, Rui Zhou, Feifei Wu, Mengqin Xiong, Biyao Zhang, Shubao Geng, Li Qiao, Fangmei Zhang and Lijuan Wang
Agronomy 2024, 14(9), 1901; https://doi.org/10.3390/agronomy14091901 - 25 Aug 2024
Viewed by 415
Abstract
Chemical fertilization is usually associated with some unreasonable problems that affect the sustainable production of tea gardens. The micro-organism fertilizer created from plant growth-promoting microbes (PGPM) integrates the beneficial properties of functional micro-organisms and bioinoculants. Application of PGPM can activate soil nutrients, prevent [...] Read more.
Chemical fertilization is usually associated with some unreasonable problems that affect the sustainable production of tea gardens. The micro-organism fertilizer created from plant growth-promoting microbes (PGPM) integrates the beneficial properties of functional micro-organisms and bioinoculants. Application of PGPM can activate soil nutrients, prevent soil-borne diseases, and promote crop growth, thus improving crop quality and yield. In this study, the effects of bioinoculants composed of Streptomyces costaricanus strain A-m1 on the properties, enzyme activity, and micro-organisms of soil in a tea garden and on the chemical composition and production of tea were investigated. The present results showed that the application of A-m1 bioinoculant could increase the activities of urease, protease and catalase, the content of alkali-hydrolyzable nitrogen, and the number of bacteria, fungi, and actinomycetes in tea garden soil. After application, the free amino acid content, 100-bud weight, and bud density of spring tea were also elevated. In the year of fertilization, the treatment composed of 70% bioinoculant + 30% chemical fertilizer showed the best effects on soil physical and chemical properties, enzyme activity, culturable microbial counts, and tea quality. A high ratio of organic to chemical fertilizer coapplication can significantly improve the growing conditions for tea plants, reduce the use of chemical fertilizers, improve the efficiency of nutrient utilization, and enhance both the yield and quality of tea. One year after fertilization, the 50% bioinoculant + 50% chemical fertilizer was more conducive to enhancing the quality of tea, while the 30% bioinoculant + 70% chemical fertilizer was more beneficial for improving the production of tea. A high ratio of chemical to bioinoculant coapplication is more favorable for maintaining high yield and quality in tea production, achieving healthy and sustainable tea garden management. The application of A-m1 bioinoculant will reduce the use of chemical fertilizers, improve the utilization efficiency of soil nutrients, and increase the production and quality of tea, contributing to the sustainable production of tea gardens. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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<p>Effects of different treatments on soil properties. CK: sterile solid substrate; CF: 100% chemical fertilizer; T3: 100% bioinoculant; T4: 70% bioinoculant +30% chemical fertilizer; T5: 50% bioinoculant +50% chemical fertilizer; T6: 30% bioinoculant +70% chemical fertilizer. The values on the vertical axis represented the variations in organic matter (<b>a</b>), available N (<b>b</b>), available P (<b>c</b>), and available K (<b>d</b>) as measured on 23 September 2022, compared to those measured on 6 November 2021, before the treatment. Lowercase letters in the figure indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 1 Cont.
<p>Effects of different treatments on soil properties. CK: sterile solid substrate; CF: 100% chemical fertilizer; T3: 100% bioinoculant; T4: 70% bioinoculant +30% chemical fertilizer; T5: 50% bioinoculant +50% chemical fertilizer; T6: 30% bioinoculant +70% chemical fertilizer. The values on the vertical axis represented the variations in organic matter (<b>a</b>), available N (<b>b</b>), available P (<b>c</b>), and available K (<b>d</b>) as measured on 23 September 2022, compared to those measured on 6 November 2021, before the treatment. Lowercase letters in the figure indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different fertilization treatments on the activities of enzymes in tea garden soil. The treatments on the horizontal axis were the same as in <a href="#agronomy-14-01901-f001" class="html-fig">Figure 1</a>. The values on the vertical axis represented the variations in activities of catalase (<b>a</b>), urease (<b>b</b>), phosphatase (<b>c</b>), protease (<b>d</b>), and sucrose (<b>e</b>) after treatment. Positive values represented the amount of increase, and negative values represented the amount of decrease. Lowercase letters in the figure indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2 Cont.
<p>Effects of different fertilization treatments on the activities of enzymes in tea garden soil. The treatments on the horizontal axis were the same as in <a href="#agronomy-14-01901-f001" class="html-fig">Figure 1</a>. The values on the vertical axis represented the variations in activities of catalase (<b>a</b>), urease (<b>b</b>), phosphatase (<b>c</b>), protease (<b>d</b>), and sucrose (<b>e</b>) after treatment. Positive values represented the amount of increase, and negative values represented the amount of decrease. Lowercase letters in the figure indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different fertilization treatments on the number of cultivable micro-organisms in tea roots. The treatments on the horizontal axis were the same as in <a href="#agronomy-14-01901-f001" class="html-fig">Figure 1</a>. The values on the vertical axis represented variations in the number of cultivable bacteria (<b>a</b>), fungi (<b>b</b>), and actinomyces (<b>c</b>) after treatment. (<b>d</b>): The colonies of bacteria, fungi, and actinomyces. Positive values represented the amount of increase, and negative values represented the amount of decrease. Lowercase letters in the figure indicated significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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23 pages, 20498 KiB  
Article
Alleviating Effect of Lipid Phytochemicals in Seed Oil (Brassica napus L.) on Oxidative Stress Injury Induced by H2O2 in HepG2 Cells via Keap1/Nrf2/ARE Signaling Pathway
by Simin Peng, Luyan Liao, Huiqing Deng, Xudong Liu, Qian Lin and Weiguo Wu
Nutrients 2024, 16(17), 2820; https://doi.org/10.3390/nu16172820 - 23 Aug 2024
Viewed by 850
Abstract
α-tocopherol (α-T), β-sitosterol (β-S), canolol (CA), and sinapic acid (SA) are the four main endogenous lipid phytochemicals (LP) found in Brassica napus L. seed oil, which possess the bioactivity to prevent the risk of several chronic diseases via antioxidant-associated mechanisms. Discovering the enhancer [...] Read more.
α-tocopherol (α-T), β-sitosterol (β-S), canolol (CA), and sinapic acid (SA) are the four main endogenous lipid phytochemicals (LP) found in Brassica napus L. seed oil, which possess the bioactivity to prevent the risk of several chronic diseases via antioxidant-associated mechanisms. Discovering the enhancer effects or synergies between LP is valuable for resisting oxidative stress and improving health benefits. The objectives of this study were to identify a potentially efficacious LP combination by central composite design (CCD) and cellular antioxidant activity (CAA) and to investigate its protective effect and potential mechanisms against H2O2-induced oxidative damage in HepG2 cells. Our results indicated that the optimal concentration of LP combination was α-T 10 μM, β-S 20 μM, SA 125 μM, and CA 125 μM, respectively, and its CAA value at the optimal condition was 10.782 μmol QE/100 g. At this concentration, LP combination exerted a greater amelioration effect on H2O2-induced HepG2 cell injury than either antioxidant (tea polyphenols or magnolol) alone. LP combination could reduce the cell apoptosis rate induced by H2O2, lowered to 10.06%, and could alleviate the degree of oxidative damage to cells (ROS↓), lipids (MDA↓), proteins (PC↓), and DNA (8-OHdG↓). Additionally, LP combination enhanced the antioxidant enzyme activities (SOD, CAT, GPX, and HO-1), as well as the T-AOC, and increased the GSH level in HepG2 cells. Furthermore, LP combination markedly upregulated the expression of Nrf2 and its associated antioxidant proteins. It also increased the expression levels of Nrf2 downstream antioxidant target gene (HO-1, SOD-1, MnSOD, CAT, GPX-1, and GPX-4) and downregulated the mRNA expression levels of Keap1. The oxidative-stress-induced formation of the Keap1/Nrf2 complex in the cytoplasm was significantly blocked by LP treatment. These results indicate that LP combination protected HepG2 cells from oxidative stress through a mechanism involving the activation of the Keap1/Nrf2/ARE signaling pathways. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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<p>Chemical structures of the main LP in <span class="html-italic">Brassica napus</span> L. seed oils. (<b>a</b>) Four lipophilic isomers of tocopherols. (<b>b</b>) Four types of phytosterols. (<b>c</b>) Types of polyphenols.</p>
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<p>Cell viability of HepG2 cells after incubation with α-tocopherol (<b>a</b>), β-sitosterol (<b>b</b>), sinapic acid (<b>c</b>), canolol (<b>d</b>), tea polyphenols (<b>e</b>), and magnolol (<b>f</b>) for 24 h detected by CCK-8 assay. * <span class="html-italic">p</span> &lt; 0.05 versus 0 concentration group.</p>
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<p>Cell viability of HepG2 cells after incubation with QE for 24 h detected by CCK-8 assay; (<b>a</b>) chemical structure of QE. (<b>b</b>) Cell viability of HepG2 cells after incubation with QE. (<b>c</b>) Peroxyl radical-induced oxidation of DCFH to DCF in HepG2 cells and inhibition of oxidation by QE (mean ± SD, n = 3). (<b>d</b>) The CAA standard curve of QE in the concentrations of 0, 2, 4, 8, 16, and 32 μM.</p>
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<p>Three-dimensional surface plots from CCD model representing the effects of LP concentration on CAA value. The interactions between (<b>a</b>) α-T and β-S, (<b>b</b>) α-T and SA, (<b>c</b>) α-T and CA, (<b>d</b>) SA and β-S, (<b>e</b>) CA and β-S, and (<b>f</b>) CA and SA were analyzed.</p>
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<p>LP (G), tea polyphenols (T), and magnolol (M) alleviated H<sub>2</sub>O<sub>2</sub>-induced cell apoptosis. (<b>a</b>) Flow cytometry data of HepG2 cells at different conditions. Control group, control without antioxidants and H<sub>2</sub>O<sub>2</sub>; H<sub>2</sub>O<sub>2</sub> group<sub>,</sub> H<sub>2</sub>O<sub>2</sub>-induced injury model with only addition of 200 μM H<sub>2</sub>O<sub>2</sub>; T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>). (<b>b</b>) Statistical results of HepG2 cell apoptosis rate. Data expressed as mean ± SE (n = 3); the different lowercase letters represent statistical difference between the groups. Statistical markers a/b/c/d (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>LP (G), tea polyphenols (T), and magnolol (M) alleviated the oxidative stress damage in H<sub>2</sub>O<sub>2</sub>-mediated HepG2 cells. (<b>a</b>) ROS levels were measured using DCFH-DA staining via flow cytometry; (<b>b</b>) detection of the effect of oxidative damage on DNA (8-OHdG level), protein (MDA level), and lipid (PC level). The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub> for 2 h. For the other three drug groups, the HepG2 cells were treated with G, T, or M for 24 h and then incubated for 2 h with 200 μM H<sub>2</sub>O<sub>2</sub>. All the level intensities were quantified, and results are expressed as mean ± SEM. The letters a, b, c, d, and e in the figures represent significant differences between different letters (<span class="html-italic">p</span> &lt; 0.05). (T: abbreviation of tea polyphenols; M: abbreviation of magnolol; G: abbreviation of group of LP.)</p>
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<p>Activity of (<b>a</b>) T-AOC, (<b>b</b>) GSH, and (<b>c</b>) antioxidant enzymes (SOD, GPX, HO-1, and CAT) in HepG2 cells. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>). Data expressed as mean ± SE (n = 3); the different lowercase letters represent statistical difference between the groups. Statistical markers a/b/c/d/e (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>LP(G)/tea polyphenols(T)/magnolol(M)-mediated gene expression changes in HepG2 cells. The expression of (<b>a</b>) <span class="html-italic">HO-1</span>, <span class="html-italic">SOD-1</span>, and <span class="html-italic">MnSOD</span> and (<b>b</b>) <span class="html-italic">CAT, GPX-1</span>, and <span class="html-italic">GPX-4</span> were determined by measuring the mRNA levels with qPCR. All results are expressed as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, versus control; # <span class="html-italic">p</span> &lt; 0.05, versus H<sub>2</sub>O<sub>2</sub> group. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>).</p>
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<p>LP (G)/tea polyphenols (T)/magnolol (M)-mediated Nrf2/Keap1 gene and protein expression changes. The expression of (<b>a</b>) <span class="html-italic">Nrf2</span> and (<b>b</b>) <span class="html-italic">keap1</span> was determined by measuring the mRNA levels with qPCR. (<b>c</b>) Nrf2/Keap1 expression was determined by measuring the protein levels with WB. All results are expressed as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, versus control; # <span class="html-italic">p</span> &lt; 0.05, versus H<sub>2</sub>O<sub>2</sub> group. The control group was not subjected to any treatment. The H<sub>2</sub>O<sub>2</sub> group was only treated with 200 μM H<sub>2</sub>O<sub>2</sub>. H<sub>2</sub>O<sub>2</sub> + T group, tea polyphenols treatment (addition of tea polyphenols + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + M group, magnolol treatment (addition of magnolol + H<sub>2</sub>O<sub>2</sub>); H<sub>2</sub>O<sub>2</sub> + G group, LP treatment (addition of LP combination + H<sub>2</sub>O<sub>2</sub>).</p>
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<p>Schematic overview of the putative antioxidant mechanisms of action of LP inside HepG2 cells. Red solid arrows represent H<sub>2</sub>O<sub>2</sub> stimulation induces oxidative stress; Green dotted arrows represent activation of Nrf2/ARE pathway, the arrow represents activation while the flat arrow represents inhibition; Green solid flat arrows represent ROS inhibition by LP; Upward and downward green solid arrows represent increase and decrease, respectively.</p>
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16 pages, 8116 KiB  
Article
Study on the Effect of Sooty Mould Disease in Tea Plants
by Renjian Liu, Hongmei Liu, Yuyuan Wang, Jiahao Chen, Zihao Qiu, Yanchun Zheng, Binmei Sun, Xindong Tan, Canwei Shu, Shaoqun Liu and Peng Zheng
Plants 2024, 13(16), 2321; https://doi.org/10.3390/plants13162321 - 20 Aug 2024
Viewed by 367
Abstract
Sooty mould (SM) disease affects the growth, development and metabolism of plants and reduces the commodity and economic value of crops. SM disease is one of the important leaf diseases in tea plants. Nonetheless, studies on the effect of SM disease in tea [...] Read more.
Sooty mould (SM) disease affects the growth, development and metabolism of plants and reduces the commodity and economic value of crops. SM disease is one of the important leaf diseases in tea plants. Nonetheless, studies on the effect of SM disease in tea plants are rare. Herein, we found that SM disease disrupted the cell morphology and structure and reduced the contents of caffeine, theanine, and catechins in the mature leaves of tea plants. Transcriptome analysis revealed that SM disease inhibited the biosynthesis of lignin, chlorophyll, catechin, caffeine, and theanine and affected the plant-pathogen interactions in the mature leaves of tea plants by downregulating gene expression. In addition, two fungal isolates, MTzyqA and MTzyqB, were obtained from the mature leaves of diseased tea plants. These strains were identified as Cladosporium pseudocladosporioides by mulitgene phylogenetic analysis, and they grew epiphytically on the leaves of tea plants. The biocontrol bacteria JT68, ZGT5, and BX1 had obvious inhibitory effect on MTzyqA and MTzyqB. These results provide a basis for understanding the effect of SM disease in tea plants. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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Figure 1
<p>Plant phenotype, cell morphology and structure of the mature leaves of healthy and diseased tea plants. (<b>A</b>). Plant phenotype of the mature leaves of healthy and diseased tea plants. Bar = 2 cm. (<b>B</b>). SEM analysis of the mature leaves of healthy and diseased tea plants. a,b: blade surface of healthy mature leaves and diseased mature leaves; c–f: stoma of healthy mature leaves and diseased mature leaves. The red box indicated the symptoms of the mature leaves after SM infection. (<b>C</b>). TEM analysis of the mature leaves of healthy and diseased tea plants. a,b: cell structure of healthy mature leaves; c,d: cell structure of diseased mature leaves. Bar = 5 μM. The red arrow indicated the symptoms of the mature leaves after SM infection. Chl: chloroplast; SG: starch grain. (<b>D</b>). DAB staining of the mature leaves of healthy and diseased tea plants. a,b: DAB staining of healthy mature leaves; c,d: DAB staining of diseased mature leaves. Bar = 50 μM. The red circle indicated the symptoms of the mature leaves after SM infection.</p>
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<p>Determination of caffeine (<b>A</b>), theanine (<b>B</b>), and catechin (<b>C</b>–<b>I</b>) contents of the tender and mature leaves of healthy and diseased tea plants. HML: healthy mature leaves; DML: diseased mature leaves; HTL: healthy tender leaves; DTL: diseased tender leaves. The data were presented as the Means ± SDs (n = 9), and asterisks indicated significant differences compared with ‘HML’ or ‘HTL’ (NS, not significant; **, <span class="html-italic">p</span> &lt; 0.01; Student’s <span class="html-italic">t</span> test).</p>
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<p>Differentially Expressed Gene (DEG), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the mature leaves of healthy and diseased tea plants. (<b>A</b>). Statistical analysis of the number of DEGs of the mature leaves of healthy and diseased tea plants. (<b>B</b>). GO enrichment analysis of DEGs of the mature leaves of healthy and diseased tea plants. (<b>C</b>). KEGG enrichment analysis of DEGs of the mature leaves of healthy and diseased tea plants.</p>
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<p>Expression analysis of DEGs involved in lignin and chlorophyll biosynthesis pathways in the mature leaves of healthy and diseased tea plants. (<b>A</b>). Expression analysis of DEGs involved in lignin biosynthesis pathway in the mature leaves of healthy and diseased tea plants. (<b>B</b>). Expression analysis of DEGs involved in chlorophyll biosynthesis pathway in the mature leaves of healthy and diseased tea plants. The compound names were shown below each arrow. The abbreviations beside the arrows indicated the enzymes catalysing the transfer. HML, healthy mature leaves; DML, diseased mature leaves.</p>
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<p>Expression analysis of DEGs involved in plant–pathogen interactions and catechin biosynthesis pathways in the mature leaves of healthy and diseased tea plants. (<b>A</b>). Expression analysis of DEGs involved in the plant-pathogen interaction biosynthesis pathway in the mature leaves of healthy and diseased tea plants. (<b>B</b>). Expression analysis of DEGs involved in the catechin biosynthesis pathway in the mature leaves of healthy and diseased tea plants. The compound names were shown below each arrow. The abbreviations beside the arrows indicated the enzymes catalysing the transfer. HML, healthy mature leaves; DML, diseased mature leaves.</p>
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<p>Isolation, molecular identification, and pathogenicity analysis of pathogenic fungi. (<b>A</b>). Morphological observation of fungal isolates from the mature leaves of diseased tea plants. Bar = 200 μM or 2 cm. (<b>B</b>). Phylogenetic evolutionary tree analysis of fungal isolates. (<b>C</b>). Pathogenicity analysis of fungal isolates. Bar = 1 cm. The red box indicated the symptoms of the leaves after SM infection.</p>
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<p>Biocontrol bacterial sensitivity of pathogenic fungi. (<b>A</b>). Antagonistic effect of JT68, ZGT5, and BX1 against fungal isolates. Bar = 2 cm. (<b>B</b>). Inhibition rates of fungal isolates by JT68, ZGT5, and BX1. The data were presented as the Means ± SDs (n = 9), different letters in the figures indicated significantly different values, and statistically significant differences were determined by One-way analysis of variance (ANOVA) followed by Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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19 pages, 4893 KiB  
Article
Effects of Several Tea-like Plants on Liver Injury Induced by Alcohol via Their Antioxidation, Anti-Inflammation, and Regulation of Gut Microbiota
by Jin Cheng, Min Luo, Dan-Dan Zhou, Siyu Huang, Ruogu Xiong, Sixia Wu, Adila Saimaiti, Bangyan Li, Ao Shang, Guo-Yi Tang and Huabin Li
Foods 2024, 13(16), 2521; https://doi.org/10.3390/foods13162521 - 13 Aug 2024
Viewed by 606
Abstract
Liver injury induced by alcohol is a serious global health problem. Several tea-like plants are widely used as beverages, which are drunk like tea. In this study, the hepatoprotective effects of eight tea-like plant extracts with the intake of 200 mg/kg.bw/day were investigated [...] Read more.
Liver injury induced by alcohol is a serious global health problem. Several tea-like plants are widely used as beverages, which are drunk like tea. In this study, the hepatoprotective effects of eight tea-like plant extracts with the intake of 200 mg/kg.bw/day were investigated and compared using a C57BL/6J mouse model of acute alcohol exposure, including sweet tea, vine tea, Rabdosia serra kudo, broadleaf holly leaf, mulberry leaf, bamboo leaf, Camellia nitidissima, and Akebia trifoliata peels. The results showed that the eight tea-like plants had hepatoprotective effects to different degrees against acute alcohol exposure via enhancing the activities of alcoholic metabolism enzymes, ameliorating oxidative stress and inflammation in the liver, as well as regulating gut microbiota. In particular, sweet tea, bamboo leaf, mulberry leaf, and Camellia nitidissima increased the activities of alcohol dehydrogenase or aldehyde dehydrogenase. Among these tea-like plants, sweet tea and Camellia nitidissima had the greatest hepatoprotective effects, and their bioactive compounds were determined by high-performance liquid chromatography. Chlorogenic acid, rutin, and ellagic acid were identified in sweet tea, and epicatechin, rutin, and ellagic acid were identified in Camellia nitidissima, which could contribute to their hepatoprotective action. These tea-like plants could be drunk or developed into functional food against alcoholic liver injury, especially sweet tea and Camellia nitidissima. In the future, the effects of sweet tea and Camellia nitidissima on chronic alcoholic liver diseases should be further investigated. Full article
(This article belongs to the Special Issue Plant-Based Food:From Nutritional Value to Health Benefits)
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<p>Effects of eight tea-like plants and silymarin on enzymes in alcohol metabolism: (<b>a</b>) alcohol dehydrogenase (ADH); (<b>b</b>) aldehyde dehydrogenase (ALDH). * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001 in the comparison between control group and model group. # <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 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peel group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on liver function indices: (<b>a</b>) serum aspartate aminotransferase (AST); (<b>b</b>) serum alanine aminotransferase (ALT); (<b>c</b>) serum alkaline phosphatase (ALP); (<b>d</b>) serum total protein (TP). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 in the comparison between control group and model group. “ns” means there were no significant differences between control group and model group. # <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 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peel group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on lipid indices: (<b>a</b>) serum triglyceride (TG); (<b>b</b>) liver TG. *** <span class="html-italic">p</span> &lt; 0.001 in the comparison between control group and model group. “ns” means there were no significant differences between control group and model group. # <span class="html-italic">p</span> &lt; 0.05 and ### <span class="html-italic">p</span> &lt; 0.001 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>H&amp;E staining results of livers in mice (magnification: 200 or 400). CTRL: control group; Model: model group; SML: silymarin (positive) group; ML: mulberry leaf group; ST: sweet tea group; CN: <span class="html-italic">Camellia nitidissima</span> group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; VT: vine tea group; BHL: broadleaf holly leaf group; ATP: <span class="html-italic">Akebia trifoliata</span> peel group; BE: bamboo leaf group.</p>
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<p>Effects of eight tea-like plants and silymarin on oxidative stress in the liver: (<b>a</b>) hepatic malondialdehyde (MDA); (<b>b</b>) hepatic glutathione (GSH); (<b>c</b>) hepatic glutathione peroxidase (GSH-Px); (<b>d</b>) hepatic superoxide dismutase (SOD). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 in the comparison between control group and model group. # <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 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on inflammation in the liver: (<b>a</b>) hepatic tumor necrosis factor-α (TNF-α); (<b>b</b>) hepatic interleukin (IL)-1β; (<b>c</b>) hepatic IL-6. * <span class="html-italic">p</span> &lt; 0.05 in the comparison between control group and model group. “ns” means there were no significant differences between control group and model group. # <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 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on the composition of gut microbiota in alcohol-treated mice: (<b>a</b>) PCoA analysis; (<b>b</b>) relative abundance of gut microbiota at the phylum level among all groups; (<b>c</b>) relative abundance of gut microbiota at the genus level among all groups; (<b>d</b>) relative abundance of bacterial taxa at the phylum level based on heatmaps with cluster analysis; (<b>e</b>) relative abundance of bacterial taxa at the genus level based on heatmaps with cluster analysis. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on the composition of gut microbiota in alcohol-treated mice: (<b>a</b>) relative abundance of top 6 bacteria at phylum level; (<b>b</b>) relative abundance of top 6 bacteria at genus level. * <span class="html-italic">p</span> &lt; 0.05 in the comparison between control group and model group. “ns” means there were no significant differences between control group and model group. # <span class="html-italic">p</span> &lt; 0.05, and ## <span class="html-italic">p</span> &lt; 0.01 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>Effects of eight tea-like plants and silymarin on the composition of gut microbiota in alcohol-treated mice: (<b>a</b>) relative abundance of top 6 bacteria at phylum level; (<b>b</b>) relative abundance of top 6 bacteria at genus level. * <span class="html-italic">p</span> &lt; 0.05 in the comparison between control group and model group. “ns” means there were no significant differences between control group and model group. # <span class="html-italic">p</span> &lt; 0.05, and ## <span class="html-italic">p</span> &lt; 0.01 in the comparison between intervention group and model group. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea group; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group; SML: silymarin (positive) group.</p>
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<p>LEfSe analysis results: (<b>a</b>) CTRL vs. Model; (<b>b</b>) Model vs. RSK; (<b>c</b>) Model vs. ST; (<b>d</b>) Model vs. BE; (<b>e</b>) Model vs. ML; (<b>f</b>) Model vs. ATP; (<b>g</b>) Model vs. CN; (<b>h</b>) Model vs. BDL; (<b>i</b>) Model vs. VT. CTRL: control group; Model: model group; RSK: <span class="html-italic">Rabdosia serra</span> kudo group; ML: mulberry leaf group; ST: sweet tea group; VT: vine tea; BHL: broadleaf holly leaf group; CN: <span class="html-italic">Camellia nitidissima</span> group; ATP: <span class="html-italic">Akebia trifoliata</span> peels group; BE: bamboo leaf group.</p>
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<p>Chromatograms at 260 nm: (<b>a</b>) standards; (<b>b</b>) sweet tea; (<b>c</b>) <span class="html-italic">Camellia nitidissima</span>.</p>
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18 pages, 4826 KiB  
Article
Anti-Neuroinflammatory Effect of Ombuin from Rhamnus erythroxylon Pall. Leaves in LPS-Induced BV-2 Microglia by Targeting Src and Suppressing the PI3K-AKT/NF-κB Signaling Pathway
by Yanjie Bian, Nan Qiao, Suyun Han, Jixiang Gao, Xiaofang Lv, Lihuan Yuan, Linjing Zhang and Zuofu Wei
Int. J. Mol. Sci. 2024, 25(16), 8789; https://doi.org/10.3390/ijms25168789 - 13 Aug 2024
Viewed by 633
Abstract
The leaves of Rhamnus erythroxylon Pall. are widely used as tea substitutes in northwest China for their fragrant aroma, anti-irritability, and digestion-enhancing properties. Ombuin, a main flavonoid compound found in the leaves, exhibited notable anti-inflammatory and antioxidant effects. However, its potential role in [...] Read more.
The leaves of Rhamnus erythroxylon Pall. are widely used as tea substitutes in northwest China for their fragrant aroma, anti-irritability, and digestion-enhancing properties. Ombuin, a main flavonoid compound found in the leaves, exhibited notable anti-inflammatory and antioxidant effects. However, its potential role in treating neuroinflammatory-related diseases remains unexplored. Thus, this study aims to evaluate the anti-neuroinflammatory effects of ombuin and to explore the underlying molecular mechanisms. According to our findings, ombuin dramatically reduced the release of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), IL-1β, nitric oxide (NO), and reactive oxygen species (ROS) in lipopolysaccharide (LPS)-stimulated BV-2 microglia. Further analysis, including transcriptomics, network pharmacology, molecular docking, and cellular heat transfer assays, revealed that Src was a direct target of ombuin. Western blot analysis showed that ombuin effectively suppressed Src phosphorylation and inhibited the downstream expressions of p-PI3K p85, p-AKT1, p-IKKα/β, p-IκBα, and nuclear factor κB (NF-κB). Meanwhile, the repression of Src significantly reversed the anti-neuroinflammatory activity of ombuin. Our results identified Src as a direct target of ombuin and implied that ombuin exerted an anti-neuroinflammatory effect by inhibiting Src phosphorylation and suppressing the activation of the PI3K-AKT and NF-κB pathways, which might provide an alternative therapeutic strategy for neurodegenerative diseases. Full article
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Figure 1
<p>Ombuin inhibited LPS-induced neuroinflammation in BV-2 cells. (<b>A</b>) Chemical structure of ombuin. (<b>B</b>,<b>C</b>) Effects of ombuin on cell viability in the presence or absence of LPS. (<b>D</b>–<b>I</b>) The production of NO (<b>D</b>), IL-6 (<b>E</b>), IL-1β (<b>F</b>), TNF-α (<b>G</b>), and ROS (<b>H</b>,<b>I</b>) in LPS-induced BV-2 cells. After pretreatment with a series of ombuin concentrations for 1 h, BV-2 cells were stimulated with 1 μg/mL LPS for 24 h and then assayed by MTT, Griess, ELISA, and ROS detection assays. The scale bar represents 20 μm in (<b>H</b>). All values are expressed as the mean ± SEM for three independent experiments. ## <span class="html-italic">p</span> &lt; 0.01 and ### <span class="html-italic">p</span> &lt; 0.001 indicate significance compared with the control group; * <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 indicate significance compared with the LPS group.</p>
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<p>Network pharmacology was utilized to predict the targets of ombuin in neuroinflammation. (<b>A</b>) Neuroinflammation potential therapeutic targets vs. ombuin targets. (<b>B</b>) The protein–protein interaction (PPI) network of the potential therapeutic targets for neuroinflammation affected by ombuin. (<b>C</b>) KEGG Enrichment Scatter Plot displaying the top 30 KEGG pathways, with pathways listed in a bubble chart format.</p>
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<p>Analysis of Differentially Expressed Genes (DEGs) by Transcriptomics. (<b>A</b>,<b>B</b>) Volcano plot analysis of all DEGs among the control group, the LPS group, and the LPS + ombuin (50 μM) group. <span class="html-italic">n</span> = 3. (<b>C</b>) The heat map displays the 33 overlapping genes. In this diagram, red indicates higher expression levels, and green indicates lower expression levels. (<b>D</b>) Gene ontology (GO) enrichment analysis.</p>
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<p>Network of ombuin and 199 targets.</p>
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<p>(<b>A</b>) PPI network of core targets. (<b>B</b>) KEGG analysis, the size and color of a node are indicative of its degree in the network; nodes with a larger size and a deeper orange color represent targets with higher degrees. (<b>C</b>) The ombuin-targets-pathways network illustrates ombuin’s role in the treatment of neuroinflammation.</p>
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<p>Src is a direct target of ombuin. (<b>A</b>) Molecular docking patterns of key targets with ombuin: (<b>a</b>) PIK3R1, (<b>b</b>) EGFR, (<b>c</b>) Src, (<b>d</b>) PTK2, (<b>e</b>) KDR. (<b>B</b>) BV-2 cells were pre-treated with 50 μM ombuin for 4 h, after which CETSA was performed using a temperature gradient ranging from 37 °C to 62 °C. The lysates were analyzed by Western blot with an Src antibody. (<b>C</b>) Relative band intensity. The expression levels of the Src protein in each group at different temperatures were normalized by dividing by the gray scan value of the Src protein at 37 °C to calculate the relative band intensity.</p>
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<p>Src knockdown reversed ombuin-mediated neuroinflammatory inhibition. (<b>A</b>) The levels of Src and phosphorylated Src (p-Src) proteins were assessed using Western blot analysis following a 24 h treatment with ombuin and/or LPS. (<b>B</b>) The efficiency of Src siRNA transfection in BV-2 cells. (<b>C</b>–<b>E</b>) BV-2 cells were transfected with either non-targeting control (NC) siRNA or Src siRNA. After 24 h, the cells were further treated with ombuin/LPS for an additional 24 h. Then, the impact of Src knockdown on the production of TNF-α (<b>C</b>), IL-1β (<b>D</b>), and NO (<b>E</b>) in BV-2 cells was measured by ELISA. (<b>F</b>,<b>G</b>) Western blot analysis was used to evaluate the protein levels of the PI3K-AKT pathway, the NF-κB signaling pathway, and inducible nitric oxide synthase (iNOS) in BV-2 cells post-Src knockdown. (<b>H</b>–<b>M</b>) Quantitative analysis of the influence of Src silencing on downstream PI3K-AKT and NF-κB signaling pathways, as well as the expression of the inflammatory mediator iNOS protein. Data are presented as the mean ± SEM of three independent experiments. ## <span class="html-italic">p</span> &lt; 0.01 indicates significance compared with the control group; * <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, and **** <span class="html-italic">p</span> &lt; 0.0001 indicate significance; ‘ns’ indicates not significant.</p>
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<p>The proposed signaling mechanism explains the effects of ombuin on LPS-induced neuroinflammation in BV-2 cells.</p>
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14 pages, 3380 KiB  
Article
Effects of Fermentation with Kombucha Symbiotic Culture of Bacteria and Yeasts on Antioxidant Activities, Bioactive Compounds and Sensory Indicators of Rhodiola rosea and Salvia miltiorrhiza Beverages
by Jin Cheng, Dan-Dan Zhou, Ruo-Gu Xiong, Si-Xia Wu, Si-Yu Huang, Adila Saimaiti, Xiao-Yu Xu, Guo-Yi Tang, Hua-Bin Li and Sha Li
Molecules 2024, 29(16), 3809; https://doi.org/10.3390/molecules29163809 - 11 Aug 2024
Viewed by 548
Abstract
Kombucha is a well-known fermented beverage traditionally made from black tea infusion. Recent studies have focused on finding alternative materials to create novel kombucha beverages with various health benefits. In this study, we prepared and evaluated two novel kombucha beverages using Rhodiola rosea [...] Read more.
Kombucha is a well-known fermented beverage traditionally made from black tea infusion. Recent studies have focused on finding alternative materials to create novel kombucha beverages with various health benefits. In this study, we prepared and evaluated two novel kombucha beverages using Rhodiola rosea and Salvia miltiorrhiza as materials. The effects of fermentation with the residue of these plants on the kombucha were also investigated. The antioxidant activities, total phenolic contents, and concentrations of the bioactive compounds of the kombucha beverages were determined by the Trolox equivalent antioxidant capacity test, ferric-reducing antioxidant power test, Folin–Ciocalteu method, and high-performance liquid chromatography, respectively. The results revealed that the kombucha beverages made with Rhodiola rosea and Salvia miltiorrhiza had strong antioxidant capacities and abundant phenolic contents. Additionally, the kombucha fermented with Rhodiola rosea residue had higher FRAP, TEAC and TPC values than that fermented without residue. On the other hand, the Salvia miltiorrhiza kombucha fermented with residue had similar FRAP and TEAC values but lower TPC values compared to that fermented without residue. The correlation analysis showed that gallic acid, salidroside, and tyrosol were responsible for the antioxidant abilities and total phenolic contents of the Rhodiola rosea kombucha, and salvianolic acid A and salvianolic acid B contributed to the antioxidant abilities of the Salvia miltiorrhiza kombucha. Furthermore, the kombucha fermented with Rhodiola rosea residue had the highest sensory scores among the kombucha beverages studied. These findings suggest that Rhodiola rosea and Salvia miltiorrhiza are suitable for making novel kombucha beverages with strong antioxidant abilities and abundant phenolic contents, which can be used in preventing and managing oxidative stress-related diseases. Full article
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<p>The appearances of kombucha beverages. (<b>a</b>) Kombucha fermented without <span class="html-italic">Rhodiola rosea</span> residue (<b>left</b>) or with <span class="html-italic">Rhodiola rosea</span> residue (<b>right</b>). (<b>b</b>) Kombucha fermented without <span class="html-italic">Salvia miltiorrhiza</span> residue (<b>left</b>) or with <span class="html-italic">Salvia miltiorrhiza</span> residue (<b>right</b>).</p>
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<p>FRAP values. (<b>a</b>) Kombucha made from <span class="html-italic">Rhodiola rosea</span>, (<b>b</b>) kombucha made from <span class="html-italic">Salvia miltiorrhiza</span>. The different red letters indicate that there were significant differences among kombucha beverages fermented without residue at different times (<span class="html-italic">p</span> &lt; 0.05). The different black letters indicate that there were significant differences among kombucha beverages fermented with residue at different times (<span class="html-italic">p</span> &lt; 0.05). * indicates there was a significant difference between fermentation with residue and without residue at the same time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>TEAC values. (<b>a</b>) Kombucha made from <span class="html-italic">Rhodiola rosea</span>, (<b>b</b>) kombucha made from <span class="html-italic">Salvia miltiorrhiza</span>. The different red letters indicate that there were significant differences among kombucha beverages fermented without residue at different times (<span class="html-italic">p</span> &lt; 0.05). The different black letters indicate that there were significant differences among kombucha beverages fermented with residue at different times (<span class="html-italic">p</span> &lt; 0.05). * indicates there was a significant difference between fermentation with residue and without residue at the same time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>TPC values. (<b>a</b>) Kombucha made from <span class="html-italic">Rhodiola rosea</span>, (<b>b</b>) kombucha made from <span class="html-italic">Salvia miltiorrhiza</span>. The different red letters indicate that there were significant differences among kombucha beverages fermented without residue at different times (<span class="html-italic">p</span> &lt; 0.05). The different black letters indicate that there were significant differences among kombucha beverages fermented with residue at different times (<span class="html-italic">p</span> &lt; 0.05). * indicates there was a significant difference between fermentation with residue and without residue at the same time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Chromatograms of standards and kombucha beverages. (<b>a</b>) Standards for <span class="html-italic">Rhodiola rosea</span> at 275 nm, (<b>b</b>) kombucha fermented with <span class="html-italic">Rhodiola rosea</span> residue at 275 nm, (<b>c</b>) kombucha fermented without <span class="html-italic">Rhodiola rosea</span> residue at 275 nm, (<b>d</b>) standards for <span class="html-italic">Salvia miltiorrhiza</span> at 287 nm, (<b>e</b>) kombucha fermented with <span class="html-italic">Salvia miltiorrhiza</span> residue at 287 nm, (<b>f</b>) kombucha fermented without <span class="html-italic">Salvia miltiorrhiza</span> residue at 287 nm. EGCG, epigallocatechin gallate.</p>
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<p>Chromatograms of standards and kombucha beverages. (<b>a</b>) Standards for <span class="html-italic">Rhodiola rosea</span> at 275 nm, (<b>b</b>) kombucha fermented with <span class="html-italic">Rhodiola rosea</span> residue at 275 nm, (<b>c</b>) kombucha fermented without <span class="html-italic">Rhodiola rosea</span> residue at 275 nm, (<b>d</b>) standards for <span class="html-italic">Salvia miltiorrhiza</span> at 287 nm, (<b>e</b>) kombucha fermented with <span class="html-italic">Salvia miltiorrhiza</span> residue at 287 nm, (<b>f</b>) kombucha fermented without <span class="html-italic">Salvia miltiorrhiza</span> residue at 287 nm. EGCG, epigallocatechin gallate.</p>
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<p>The concentrations of bioactive components in kombucha beverages. (<b>a</b>–<b>d</b>) <span class="html-italic">Rhodiola rosea</span> kombucha, (<b>e</b>–<b>g</b>) <span class="html-italic">Salvia miltiorrhiza</span> kombucha. The different red letters indicate that there were significant differences among kombucha beverages fermented without residue at different times (<span class="html-italic">p</span> &lt; 0.05). The different black letters indicate that there were significant differences among kombucha beverages fermented with residue at different times (<span class="html-italic">p</span> &lt; 0.05). * indicates there was a significant difference between fermentation with residue and without residue at the same time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The concentrations of bioactive components in kombucha beverages. (<b>a</b>–<b>d</b>) <span class="html-italic">Rhodiola rosea</span> kombucha, (<b>e</b>–<b>g</b>) <span class="html-italic">Salvia miltiorrhiza</span> kombucha. The different red letters indicate that there were significant differences among kombucha beverages fermented without residue at different times (<span class="html-italic">p</span> &lt; 0.05). The different black letters indicate that there were significant differences among kombucha beverages fermented with residue at different times (<span class="html-italic">p</span> &lt; 0.05). * indicates there was a significant difference between fermentation with residue and without residue at the same time (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Heatmaps of parameters and compound concentrations. (<b>a</b>) Kombucha fermented with <span class="html-italic">Rhodiola rosea</span> residue, (<b>b</b>) kombucha fermented without <span class="html-italic">Rhodiola rosea</span> residue, (<b>c</b>) kombucha fermented with <span class="html-italic">Salvia miltiorrhiza</span> residue, (<b>d</b>) kombucha fermented without <span class="html-italic">Salvia miltiorrhiza</span> residue. EGCG, epigallocatechin gallate. The red color means positive correlation, and the blue color means negative correlation. The darker the color, the stronger correlation.</p>
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<p>The sensory analysis results of kombucha beverages from <span class="html-italic">Rhodiola rosea</span> and <span class="html-italic">Salvia miltiorrhiza</span>.</p>
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19 pages, 1636 KiB  
Article
Assessing the Impact of (Poly)phenol-Rich Foods on Cardiometabolic Risk in Postmenopausal Women: A Dietary Trial
by Lorena Sánchez-Martínez, Rocío González-Barrio, Javier García-Alonso, Pedro Mena and María-Jesús Periago
Antioxidants 2024, 13(8), 973; https://doi.org/10.3390/antiox13080973 - 9 Aug 2024
Viewed by 543
Abstract
Menopause is a critical stage in a woman’s life in which cardiometabolic alterations appear, such as insulin resistance or a predisposition to visceral fat deposits, leading to an increased risk of cardiometabolic diseases (R-CMBs). New strategies to reduce the R-CMBs in postmenopausal women [...] Read more.
Menopause is a critical stage in a woman’s life in which cardiometabolic alterations appear, such as insulin resistance or a predisposition to visceral fat deposits, leading to an increased risk of cardiometabolic diseases (R-CMBs). New strategies to reduce the R-CMBs in postmenopausal women using natural compounds without adverse effects are desirable. In this sense, plant-based diets rich in fruits and vegetables could play a fundamental role due to the high content of bioactive compounds found in these diets, such as (poly)phenols, known for their antioxidant, anti-inflammatory and vasodilator properties. The aim of this research was to carry out a dietary trial to evaluate the effect of the daily intake of different (poly)phenol-rich foods (PP-rich foods) for 2 months on the modulation of the main cardiometabolic risk biomarkers of postmenopausal women. The results showed a slight improvement in blood pressure (BP), lipid profile and oxidative stress, endothelial function and inflammatory biomarkers. These findings suggest that daily consumption of PP-rich foods alleviated the R-CMBs of postmenopausal women by reducing the oxidative stress and, thus, the risk of cardiovascular events; however, the magnitude of the cardioprotective effect of (poly)phenols depends on inter-individual variability. Full article
(This article belongs to the Special Issue Natural Antioxidants and Metabolic Diseases)
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Graphical abstract

Graphical abstract
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<p>Flowchart of the recruitment period and experimental design. R-CMBs: risk of cardiometabolic diseases. Time points: (T0) baseline; (T1) control period in which participants followed their habitual diet for 1 month; (T2) experimental period, in which the diet of the participants was supplemented with (poly)phenol-rich foods for 2 months. Blood and 24 h urine were collected at T0, T1 and T2 to determine different parameters related to cardiometabolic risk, as indicated by (*).</p>
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<p>(Poly)phenolic profile of dietary supplementation. (<b>A</b>) Percentage of (poly)phenols and antioxidant capacity provided by each food included in the supplementation. (<b>B</b>) Percentage of the main (poly)phenol families provided by dietary supplementation.</p>
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<p>Potential mechanisms of (poly)phenol-rich foods to improve cardiometabolic and cardiovascular risk in postmenopausal women. ↑: Variables that increase; ↓: Variables that decrease.</p>
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14 pages, 7671 KiB  
Article
Multiscale Tea Disease Detection with Channel–Spatial Attention
by Yange Sun, Mingyi Jiang, Huaping Guo, Li Zhang, Jianfeng Yao, Fei Wu and Gaowei Wu
Sustainability 2024, 16(16), 6859; https://doi.org/10.3390/su16166859 - 9 Aug 2024
Viewed by 446
Abstract
Tea disease detection is crucial for improving the agricultural circular economy. Deep learning-based methods have been widely applied to this task, and the main idea of these methods is to extract multiscale coarse features of diseases using the backbone network and fuse these [...] Read more.
Tea disease detection is crucial for improving the agricultural circular economy. Deep learning-based methods have been widely applied to this task, and the main idea of these methods is to extract multiscale coarse features of diseases using the backbone network and fuse these features through the neck for accurate disease detection. This paper proposes a novel tea disease detection method that enhances feature expression of the backbone network and the feature fusion capability of the neck: (1) constructing an inverted residual self-attention module as a backbone plugin to capture the long-distance dependencies of disease spots on the leaves; and (2) developing a channel–spatial attention module with residual connection in the neck network to enhance the contextual semantic information of fused features in disease images and eliminate complex background noise. For the second step, the proposed channel–spatial attention module uses Residual Channel Attention (RCA) to enhance inter-channel interactions, facilitating discrimination between disease spots and normal leaf regions, and employs spatial attention (SA) to enhance essential areas of tea diseases. Experimental results demonstrate that the proposed method achieved accuracy and mAP scores of 92.9% and 94.6%, respectively. In particular, this method demonstrated improvements of 6.4% in accuracy and 6.2% in mAP compared to the SSD model. Full article
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<p>Six common types of tea pests and diseases. (<b>a</b>) Tea algae leaf spot (Als), (<b>b</b>) tea cake (Tc), (<b>c</b>) tea cloud leaf blight (Clb), (<b>d</b>) tea exobasidium blight (Eb), (<b>e</b>) tea red rust (Tr), (<b>f</b>) tea red scab (Rs).</p>
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<p>Comparison of original and enhanced images of tea disease.</p>
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<p>The network structure of channel-spatial attention fusion for tea disease detection. The backbone is mainly composed of multiscale convolutional blocks and blocks based on the self-attention mechanism IRMB. The neck used four spatial attention modules (SA1 to SA3) and four channel attention modules (RCA1 to RCA3). The head detects different features with three parallel convolutions.</p>
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<p>Inverted Residual Mobile self-attention Block. (<b>a</b>) is the overall structure of the Inverted Residual Mobile self-attention Block (IRMB) and (<b>b</b>) is the depth-wise convolution (DW-Conv) in the structure.</p>
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<p>Residual Channel Attention.</p>
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<p>Spatial attention module. (<b>a</b>) is the overall architecture of the spatial attention module (SA), and (<b>b</b>) is the self-attention block (SAB) within that architecture.</p>
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<p>The <span class="html-italic">mAP</span> variation of the six different models.</p>
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<p>Identification of network heatmap visualization results. In the attention heatmaps, red areas represents higher attention, yellow areas represents medium attention areas, and blue areas represents lower attention.</p>
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<p>Visualization test results. (<b>a</b>) shows the detection results for multi-scale diseases, (<b>b</b>) shows the detection results for complex backgrounds, (<b>c</b>,<b>d</b>,<b>f</b>) show the detection results for single diseases, and (<b>e</b>) shows the detection results for multi-scale diseases and complex backgrounds.</p>
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19 pages, 4166 KiB  
Article
Systemic Analyses of Anti-Cell-Senescence Active Compounds in Camellia Sect. Chrysantha Chang and Their Mechanisms
by Jiacheng Wu, Quanzi Bai, Jianghua Chen, Zhenbiao Yang and Xiaoyue Zhu
Plants 2024, 13(15), 2139; https://doi.org/10.3390/plants13152139 - 1 Aug 2024
Viewed by 588
Abstract
Aging is an irreversible pathophysiological process for all organisms. The accumulation of senescent cells in pathological sites or tissues is recognized as the major cause of diseases and disorders during the aging process. Small molecules that reduce senescent cell burdens have gained increasing [...] Read more.
Aging is an irreversible pathophysiological process for all organisms. The accumulation of senescent cells in pathological sites or tissues is recognized as the major cause of diseases and disorders during the aging process. Small molecules that reduce senescent cell burdens have gained increasing attention as promising intervention therapeutics against aging, but effective anti-senescence agents remain rare. Camellia Sect. Chrysantha Chang is documented as a traditional Chinese herbal medicine used by ethnic groups for many medical and health benefits, but its effect on aging is unclear. Here, we investigated the anti-senescence potential of eight C. Sect. Chrysantha Chang species. The results show that ethyl acetate fractions from these C. Sect. Chrysantha Chang species were able to delay the senescence of H9c2 cardiomyocytes except for C. pingguoensis (CPg). N-butanol fractions of C. multipetala (CM), C. petelotii var. grandiflora (CPt), and C. longzhouensis (CL) showed a senescent cell clearance effect by altering the expression levels of senescent-associated marker genes in the DNA-damage response (DDR) pathway and the senescent cell anti-apoptotic pathway (SCAPs). By using UPLC-QTOF-MS-based non-targeted metabolomics analyses, 27 metabolites from Sect. Chrysantha species were putatively identified. Among them, high levels of sanchakasaponin C and D in CM, CPt, and CL were recognized as the key bioactive compounds responsible for senescent cell clearance. This study is the first to disclose and compare the anti-cell-senescence effect of a group of C. Sect. Chrysantha Chang, including some rare species. The combination of senescent markers and metabolomics analyses helped us to reveal the differences in chemical constituents that target senescent cells. Significantly, contrary to the C. chrysantha var. longistyla (CCL), which is widely cultivated and commercialized for tea drinks, CM, CPt, and CL contain unique chemicals for managing aging and aging-related diseases. The results from this study provide a foundation for species selection in developing small-molecule-based drugs to alleviate diseases and age-related dysfunctions and may potentially be useful for advancing geroscience research. Full article
(This article belongs to the Section Phytochemistry)
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<p>Overview of the workflow for anti-senescence-activity screening of the <span class="html-italic">C.</span> Sect. <span class="html-italic">Chrysantha</span> Chang chemical constituents. (<b>a</b>) Eight species in <span class="html-italic">C.</span> Sect. <span class="html-italic">Chrysantha</span> Chang: CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CM, <span class="html-italic">C. multipetala</span>; CL, <span class="html-italic">C. longzhouensis</span>; CPg, <span class="html-italic">C. pingguoensis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CI, <span class="html-italic">C. impressinervis</span>; CC, <span class="html-italic">C. chrysantha</span> (Hu); CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>. Scale bar = 1 cm. (<b>b</b>) Constituents extraction and concentration. (<b>c</b>) The anti-senescence activity of extracts assessed via MTT assay and SA-β-Gal staining. (<b>d</b>) Extracts altered expression level of genes associated with senescence. (<b>e</b>) Identification of chemical constituents.</p>
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<p>The anti-senescence effect of ethyl acetate and n-butanol extracts of flowers from eight species in <span class="html-italic">C</span>. Sect. <span class="html-italic">Chrysantha</span> Chang in D-gal-induced senescent cells: (<b>a</b>) experimental workflow; (<b>b</b>) relative cell viability; (<b>c</b>) relative cell senescence; (<b>d</b>) cells treated with ethyl acetate extracts at a concentration of 100 μg·mL<sup>−1</sup> stained for SA-β-Gal. Scale bar = 100 μm. * <span class="html-italic">p</span> &lt; 0.05 vs. D-gal, ** <span class="html-italic">p</span> &lt; 0.01 vs. D-gal, *** <span class="html-italic">p</span> &lt; 0.001 vs. D-gal, nd = not detected, three biological replicates. E, ethyl acetate extract; N, n-butanol extract; CI, <span class="html-italic">C. impressinervis</span>; CM, <span class="html-italic">C. multipetala</span>; CPg, <span class="html-italic">C. pingguoensis</span>; CC, <span class="html-italic">C. chrysantha</span> (Hu); CL, <span class="html-italic">C. longzhouensis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>.</p>
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<p>Screening of anti-senescence constituents in extracts from flowers of eight <span class="html-italic">C</span>. Sect. <span class="html-italic">Chrysantha</span> Chang species in D-gal-induced senescent cells: (<b>a</b>) the relative cell viability of n-butanol extracts; (<b>b</b>) the relative cell senescence of n-butanol extracts; (<b>c</b>) the relative senescent cell number per field of n-butanol extracts; (<b>d</b>) the relative senescent cell number per field of ethyl acetate extracts; (<b>e</b>) cells treated with n-butanol extracts at the concentration of 50 μg·mL<sup>−1</sup> stained for SA-β-Gal. Scale bar = 100 μm. * <span class="html-italic">p</span> &lt; 0.05 vs. D-gal, ** <span class="html-italic">p</span> &lt; 0.01 vs. D-gal, *** <span class="html-italic">p</span> &lt; 0.001 vs. D-gal, nd = not detected, three biological replicates. E, ethyl acetate extract; N, n-butanol extract; CI, <span class="html-italic">C. impressinervis</span>; CM, <span class="html-italic">C. multipetala</span>; CPg, <span class="html-italic">C. pingguoensis</span>; CC, <span class="html-italic">C. chrysantha</span> (Hu); CL, <span class="html-italic">C. longzhouensis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>.</p>
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<p>Relative expression levels of cell-senescence-associated genes and <span class="html-italic">Bcl-2</span> family genes in D-gal-induced senescent cells. The senescent cells were treated with ethyl acetate extracts of CL and CPb and n-butanol extracts of CL and CM, and gene expression levels of senescence-related genes and apoptosis-associated genes were detected via QRT-PCR. * <span class="html-italic">p</span> &lt; 0.05 vs. D-gal, ** <span class="html-italic">p</span> &lt; 0.01 vs. D-gal, *** <span class="html-italic">p</span> &lt; 0.001 vs. D-gal, three biological replicates. E, ethyl acetate extract; N, n-butanol extract; CL, <span class="html-italic">C. longzhouensis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CM, <span class="html-italic">C. multipetala</span>.</p>
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<p>PCA score plot for ethyl acetate and n-butanol extracts of eight different <span class="html-italic">C</span>. Sect. <span class="html-italic">Chrysantha</span> Chang flowers based on 279 molecular features detected in ESI<sup>-</sup>. E, ethyl acetate extract; N, n-butanol extract; CPg, <span class="html-italic">C. pingguoensis</span>; CI, <span class="html-italic">C. impressinervis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CL, <span class="html-italic">C. longzhouensis</span>; CM, <span class="html-italic">C. multipetala</span>; CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>; and CC, <span class="html-italic">C. chrysantha</span> (Hu).</p>
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<p>Heat map of compounds’ intensity of ethyl acetate extracts. The relative intensities of the identified compounds in ethyl acetate extracts of different <span class="html-italic">C</span>. Sect. <span class="html-italic">Chrysantha</span> Chang flowers are demonstrated. E, ethyl acetate extract; CPg, <span class="html-italic">C. pingguoensis</span>; CI, <span class="html-italic">C. impressinervis</span>; CPb, <span class="html-italic">C. pubipetala</span>; CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CL, <span class="html-italic">C. longzhouensis</span>; CM, <span class="html-italic">C. multipetala</span>; CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>; CC, <span class="html-italic">C. chrysantha</span> (Hu). This analysis is based on the average signal abundance from three biological replicates for each species. The values expressed as LOG<sub>2</sub> are shown on a color scale proportional to the content of each metabolite.</p>
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<p>Heat map of compounds’ intensity of n-butanol extracts of eight <span class="html-italic">C.</span> Sect. <span class="html-italic">Chrysantha</span> Chang flowers. N, n-butanol extract; CPg, <span class="html-italic">C. pingguoensis</span>; CPt, <span class="html-italic">C. petelotii</span> var. <span class="html-italic">grandiflora</span>; CL, <span class="html-italic">C. longzhouensis</span>; CM, <span class="html-italic">C. multipetala;</span> CCL, <span class="html-italic">C. chrysantha</span> var. <span class="html-italic">longistyla</span>; CC, <span class="html-italic">C. chrysantha</span> (Hu); CI, <span class="html-italic">C. impressinervis</span>; CPb, <span class="html-italic">C. pubipetala</span>.</p>
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33 pages, 810 KiB  
Review
Flavan-3-ols and Vascular Health: Clinical Evidence and Mechanisms of Action
by Justyna Godos, Giovanni Luca Romano, Samuele Laudani, Lucia Gozzo, Ida Guerrera, Irma Dominguez Azpíroz, Raquel Martínez Diaz, José L. Quiles, Maurizio Battino, Filippo Drago, Francesca Giampieri, Fabio Galvano and Giuseppe Grosso
Nutrients 2024, 16(15), 2471; https://doi.org/10.3390/nu16152471 - 30 Jul 2024
Viewed by 1155
Abstract
Cardiovascular diseases (CVDs) are one of the main causes of mortality and morbidity worldwide. A healthy diet rich in plant-derived compounds such as (poly)phenols appears to have a key role in improving cardiovascular health. Flavan-3-ols represent a subclass of (poly)phenols of great interest [...] Read more.
Cardiovascular diseases (CVDs) are one of the main causes of mortality and morbidity worldwide. A healthy diet rich in plant-derived compounds such as (poly)phenols appears to have a key role in improving cardiovascular health. Flavan-3-ols represent a subclass of (poly)phenols of great interest for their possible health benefits. In this review, we summarized the results of clinical studies on vascular outcomes of flavan-3-ol supplementation and we focused on the role of the microbiota in CVD. Clinical trials included in this review showed that supplementation with flavan-3-ols mostly derived from cocoa products significantly reduces blood pressure and improves endothelial function. Studies on catechins from green tea demonstrated better results when involving healthy individuals. From a mechanistic point of view, emerging evidence suggests that microbial metabolites may play a role in the observed effects. Their function extends beyond the previous belief of ROS scavenging activity and encompasses a direct impact on gene expression and protein function. Although flavan-3-ols appear to have effects on cardiovascular health, further studies are needed to clarify and confirm these potential benefits and the rising evidence of the potential involvement of the microbiota. Full article
(This article belongs to the Special Issue Effects of Phytochemicals on Metabolic Disorders and Human Health)
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<p>A schematic overview of the primary activities of microbial-derived metabolite flavan-3-ols. ACE (angiotensin-converting enzyme); CAT (catalase); eNOS (endothelial nitric oxide synthase); GSH (glutathione peroxidase); IL-1β (interleukin-1β); IL-6 (interleukin-6); iNOS (inducible nitric oxide synthase); NF-κB (nuclear factor-kappa B); NO (nitric oxide); ROS (reactive oxygen species); SOD (superoxide dismutase); TNF-α (tumor necrosis factor-alpha).</p>
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24 pages, 6425 KiB  
Article
Bioaffinity Ultrafiltration Combined with HPLC-ESI-qTOF-MS/MS for Screening Potential Bioactive Components from the Stems of Dendrobium fimbriatum and In Silico Analysis
by Yu-Hui Hsieh, Wu-Chang Chuang, Ming-Chung Lee, Yu-Hsin Fan, Nai-Kuei Huang and Jih-Jung Chen
Antioxidants 2024, 13(8), 918; https://doi.org/10.3390/antiox13080918 - 29 Jul 2024
Viewed by 680
Abstract
Dendrobium fimbriatum is a perennial herb, and its stems are high-grade tea and nourishing medicinal materials. Various solvent extracts of D. fimbriatum were evaluated for their anti-inflammatory, anti-acetylcholinesterase (AChE), antioxidant, and anti-α-glucosidase properties. Acetone and EtOAc extracts showed significant antioxidant effects. Acetone, n [...] Read more.
Dendrobium fimbriatum is a perennial herb, and its stems are high-grade tea and nourishing medicinal materials. Various solvent extracts of D. fimbriatum were evaluated for their anti-inflammatory, anti-acetylcholinesterase (AChE), antioxidant, and anti-α-glucosidase properties. Acetone and EtOAc extracts showed significant antioxidant effects. Acetone, n-hexane, and EtOAc extracts revealed potent inhibition against α-glucosidase. EtOAc, n-hexane, and dichloromethane extracts displayed significant anti-AChE activity. Among the isolated constituents, gigantol, moscatin, and dendrophenol showed potent antioxidant activities in FRAP, DPPH, and ABTS radical scavenging tests. Moscatin (IC50 = 161.86 ± 16.45 μM) and dendrophenol (IC50 = 165.19 ± 13.25 μM) displayed more potent anti-AChE activity than chlorogenic acid (IC50 = 236.24 ± 15.85 μM, positive control). Dendrophenol (IC50 = 14.31 ± 3.17 μM) revealed more efficient anti-NO activity than quercetin (positive control, IC50 = 23.09 ± 1.43 μM). Analysis of AChE and iNOS inhibitory components was performed using molecular docking and/or the bioaffinity ultrafiltration method. In bioaffinity ultrafiltration, the binding affinity of compounds to the enzyme (acetylcholinesterase and inducible nitric oxide synthase) was determined using the enrichment factor (EF). Among the main components of the EtOAc extract from D. fimbriatum stem, moscatin, dendrophenol, gigantol, and batatasin III with acetylcholinesterase exhibited the highest binding affinities, with affinity values of 66.31%, 59.48%, 54.60%, and 31.87%, respectively. Moreover, the affinity capacity of the identified compounds with inducible nitric oxide synthase can be ranked as moscatin (88.99%) > dendrophenol (65.11%) > gigantol (44.84%) > batatasin III (27.18%). This research suggests that the bioactive extracts and components of D. fimbriatum stem could be studied further as hopeful candidates for the prevention or treatment of hyperglycemia, oxidative stress-related diseases, and nervous disorders. Full article
(This article belongs to the Special Issue Antioxidant Capacity of Natural Products)
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Graphical abstract

Graphical abstract
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<p>Dried stems of <span class="html-italic">Dendrobium fimbriatum</span> were used in this study and collected from Mingjian Township, Nantou County, Taiwan.</p>
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<p>Chemical structures of gigantol (<b>1</b>), moscatin (<b>2</b>), batatasin III (<b>3</b>), and dendrophenol (<b>4</b>) from <span class="html-italic">D. fimbriatum</span>.</p>
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<p>Inhibitory activities of moscatin and dendrophenol against LPS-induced iNOS expression in RAW 264.7 murine macrophages are assessed by Western blot. (<b>A</b>) The inhibitory effect of moscatin against LPS-induced iNOS in RAW 264.7 macrophage cell line. (<b>B</b>) The inhibitory activity of dendrophenol against LPS-induced iNOS in RAW 264.7 macrophage cell line. (<b>C</b>) The inhibition rate line chart of moscatin against LPS-induced iNOS in RAW 264.7 macrophage cell line. (<b>D</b>) The inhibition rate line chart of dendrophenol against LPS-induced iNOS in RAW 264.7 macrophage cell line. Quantification data of iNOS/β-actin are shown as mean ± SD (n = 3). Quercetin is applied as a positive control. * <span class="html-italic">p</span> &lt; 0.05 compared with the control group, <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 compared with the LPS group.</p>
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<p>HPLC chromatograms of the potential AChE inhibitors in the EtOAc extract of <span class="html-italic">D. fimbriatum</span> stems obtained by bioaffinity ultrafiltration. (<b>A</b>) Schematic diagram of bioaffinity ultrafiltration assay. (<b>B</b>) HPLC chromatogram (280 nm) of the chemical components in the EtOAc extract of <span class="html-italic">D. fimbriatum</span> stem obtained by bioaffinity ultrafiltration. The black line represents <span class="html-italic">D. fimbriatum</span> stem extract without ultrafiltration, while the red and blue lines represent <span class="html-italic">D. fimbriatum</span> stem extract with active and inactive AChE and iNOS, respectively.</p>
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<p>(<b>A</b>) Interaction of gigantol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>B</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>C</b>) Interaction of batatasin III with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>D</b>) Interaction of moscatin with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>E</b>) Interaction of gigantol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>F</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>G</b>) Interaction of batatasin III with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>H</b>) Interaction of moscatin with the active sites of <span class="html-italic">M. musculus</span> iNOS.</p>
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<p>(<b>A</b>) Interaction of gigantol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>B</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>C</b>) Interaction of batatasin III with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>D</b>) Interaction of moscatin with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>E</b>) Interaction of gigantol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>F</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>G</b>) Interaction of batatasin III with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>H</b>) Interaction of moscatin with the active sites of <span class="html-italic">M. musculus</span> iNOS.</p>
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<p>(<b>A</b>) Interaction of gigantol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>B</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>C</b>) Interaction of batatasin III with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>D</b>) Interaction of moscatin with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>E</b>) Interaction of gigantol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>F</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>G</b>) Interaction of batatasin III with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>H</b>) Interaction of moscatin with the active sites of <span class="html-italic">M. musculus</span> iNOS.</p>
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<p>(<b>A</b>) Interaction of gigantol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>B</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>C</b>) Interaction of batatasin III with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>D</b>) Interaction of moscatin with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>E</b>) Interaction of gigantol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>F</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>G</b>) Interaction of batatasin III with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>H</b>) Interaction of moscatin with the active sites of <span class="html-italic">M. musculus</span> iNOS.</p>
Full article ">Figure 5 Cont.
<p>(<b>A</b>) Interaction of gigantol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>B</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>C</b>) Interaction of batatasin III with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>D</b>) Interaction of moscatin with the active sites of <span class="html-italic">E. electric</span> AChE. (<b>E</b>) Interaction of gigantol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>F</b>) Interaction of dendrophenol with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>G</b>) Interaction of batatasin III with the active sites of <span class="html-italic">M. musculus</span> iNOS. (<b>H</b>) Interaction of moscatin with the active sites of <span class="html-italic">M. musculus</span> iNOS.</p>
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36 pages, 1090 KiB  
Review
Effects of Green Tea Extract Epigallocatechin-3-Gallate on Oral Diseases: A Narrative Review
by Yizhen Li, Lei Cheng and Mingyun Li
Pathogens 2024, 13(8), 634; https://doi.org/10.3390/pathogens13080634 - 29 Jul 2024
Viewed by 790
Abstract
Objectives: Oral diseases are among the most prevalent diseases globally. Accumulating new evidence suggests considerable benefits of epigallocatechin-3-gallate (EGCG) for oral health. This review aims to explore the role and application of EGCG in main oral diseases. Methods: This narrative review thoroughly examines [...] Read more.
Objectives: Oral diseases are among the most prevalent diseases globally. Accumulating new evidence suggests considerable benefits of epigallocatechin-3-gallate (EGCG) for oral health. This review aims to explore the role and application of EGCG in main oral diseases. Methods: This narrative review thoroughly examines and summarizes the most recent literature available in scientific databases (PubMed, Web of Science, Scopus, and Google Scholar) reporting advances in the role and application of EGCG within the dental field. The major keywords used included “EGCG”, “green tea extract”, “oral health”, “caries”, “pulpitis”, “periapical disease”, “periodontal disease”, “oral mucosa”, “salivary gland”, and “oral cancer”. Conclusions: EGCG prevents and manages various oral diseases through its antibacterial, anti-inflammatory, antioxidant, and antitumor properties. Compared to traditional treatments, EGCG generally exhibits lower tissue irritation and positive synergistic effects when combined with other therapies. Novel delivery systems or chemical modifications can significantly enhance EGCG’s bioavailability, prolong its action, and reduce toxicity, which are current hotspots in developing new materials. Clinical significance: this review provides an exhaustive overview of the biological activities of EGCG to major oral diseases, alongside an exploration of applications and limitations, which serves as a reference for preventing and managing oral ailments. Full article
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<p>Chemical structure and origin of epigallocatechin gallate. (<b>a</b>) Chemical structures of epigallocatechin (EGC, above) and gallic acid (below). Epigallocatechin gallate (EGCG) is formed via the esterification of the circled functional groups of the two reactants. (<b>b</b>) Chemical structure of epigallocatechin gallate (EGCG). The two hydroxylated aromatic rings, A and B, are connected by a cyclic pyran ring, C; the aromatic ring D is part of the galloyl moiety.</p>
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<p>Search flowchart as described in the PRISMA guidelines. Caption: (n = number of records).</p>
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