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23 pages, 49231 KiB  
Article
Scientific Validation of Using Active Constituent as Research Focus in Traditional Chinese Medicine: Case Study of Pueraria lobata Intervention in Type 2 Diabetes
by Yaping Chen, Qiuqi Wen, Meng Lin, Bing Yang, Liang Feng and Xiaobin Jia
Pharmaceuticals 2024, 17(12), 1675; https://doi.org/10.3390/ph17121675 - 12 Dec 2024
Viewed by 425
Abstract
Objectives: Traditional Chinese Medicine (TCM) is recognized for its complex composition and multiple therapeutic targets. However, current pharmacological research often concentrates on extracts or individual components. The former approach faces numerous challenges, whereas the latter oversimplifies and disregards the synergistic effects among TCM [...] Read more.
Objectives: Traditional Chinese Medicine (TCM) is recognized for its complex composition and multiple therapeutic targets. However, current pharmacological research often concentrates on extracts or individual components. The former approach faces numerous challenges, whereas the latter oversimplifies and disregards the synergistic effects among TCM components. This study aims to investigate the scientific validity of focusing on the active constituent in TCM efficacy research, using Pueraria lobata (P. lobata) as a case study. Methods: Through spectrum-effect correlation analysis, network pharmacology, and molecular docking, five active ingredients of P. lobata were identified: puerarin, formononetin, tuberosin, 4′,7-dihdroxy-3′-methoxyisoflavone, and Daidzein-4,7-diglucoside. These ingredients were combined to form an active constituent, which was subsequently tested in vitro and in vivo. Results: In in vitro, the active constituent exhibited superior effects in enhancing glucose consumption and glycogen synthesis compared to both the P. lobata extract and individual components. In vivo experiments demonstrated that medium and high doses of the active constituent were significantly more effective than P. lobata extract, with effects comparable to those of metformin in reducing blood sugar levels. Conclusions: The active constituent effectively improves T2DM by lowering blood glucose levels, promoting glycogen synthesis, and modulating glycolipid metabolism. Both in vitro and in vivo studies indicate that it outperformed the P. lobata extract and individual components. This study establishes the scientific validity and feasibility of utilizing the active constituent as the focus for investigating the efficacy of TCM, thereby offering novel insights and a new research paradigm for future TCM investigations. Full article
(This article belongs to the Section Natural Products)
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Graphical abstract

Graphical abstract
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<p>Results of spectrum-effect correlation. (<b>A</b>) Total ions chromatogram of the blood components of <span class="html-italic">P. lobata</span> extract in rats; (<b>B</b>) Heat map of the correlation between the blood components of <span class="html-italic">P. lobata</span> and the serum indicators; (<b>C</b>) The correlation between the components of <span class="html-italic">P. lobata</span> and comprehensive evaluation indicator, the red line indicates a correlation of 0.70.</p>
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<p>(<b>A</b>) The shared targets of <span class="html-italic">P. lobata</span> in the TCMSP and TCMID databases, along with differential genes associated with T2DM from the GeneCards, OMIM, and TTD datasets; (<b>B</b>) The compound-target network illustrating 12 candidate active ingredients and their 167 potential targets for <span class="html-italic">P. lobata</span> in T2DM; (<b>C</b>) The PPI network of genes involved in the treatment of T2DM with <span class="html-italic">P. lobata</span>; (<b>D</b>) Outcomes representing the top 16 significant targets within the PPI network as determined by CytoNCA.</p>
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<p>(<b>A</b>) GO analysis for 167 protein targets in the treatment of T2DM with <span class="html-italic">P. lobata</span>; (<b>B</b>) KEGG pathway analysis involving 167 protein targets related to <span class="html-italic">P. lobata</span> therapy for T2DM.</p>
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<p>Results of the molecular docking. (<b>A</b>) Heat map of the docking binding energy between 12 active compounds and five core targets; (<b>B</b>) Pattern diagram of molecular docking.</p>
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<p>Cell viability in IR-HepG2 cells induced by INS. Puerarin (<b>A</b>), formononetin (<b>B</b>), tuberosin (<b>C</b>), Daidzein-4,7-diglucoside (<b>D</b>), 4′,7-dihdroxy-3′-methoxyisoflavone (<b>E</b>), <span class="html-italic">P. lobata</span> extract (<b>F</b>), and active constituent (<b>G</b>).</p>
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<p>Beneficial effect curve of puerarin (<b>A</b>), formononetin (<b>B</b>), tuberosin (<b>C</b>), Daidzein-4,7-diglucoside (<b>D</b>), 4′,7-dihdroxy-3′-methoxyisoflavone (<b>E</b>), <span class="html-italic">P. lobata</span> extract (<b>F</b>), and active constituent (<b>G</b>); effect of <span class="html-italic">P. lobata</span> on glucose consumption (<b>H</b>) and glycogen levels (<b>I</b>) in IR-HepG2 cells. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Hypoglycemic effect of <span class="html-italic">P. lobata</span> extract and active constituent on STZ-induced T2DM mice. Food intake (<b>A</b>), water intake (<b>B</b>), FBG levels (<b>C</b>), and OGTT (<b>D</b>,<b>E</b>) of the mice treated with <span class="html-italic">P. lobata</span> extract and active constituent for 10 weeks. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Influence of <span class="html-italic">P. lobata</span> on insulin sensitivity in STZ-induced T2DM mice. (<b>A</b>) Levels of insulin in serum; (<b>B</b>) HOMA-IR values; (<b>C</b>) HOMA-β values; (<b>D</b>) Insulin tolerance test (ITT); (<b>E</b>) AUC for ITT. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Improvement of <span class="html-italic">P. lobata</span> extract and active constituent on biochemical indicators in STZ-induced T2DM mice. Levels of T-CHO (<b>A</b>), TG (<b>B</b>), LDL-C (<b>C</b>), HDL-C (<b>D</b>), GHb (<b>E</b>), and KB (<b>F</b>) in serum. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Histological evaluation of the effects of <span class="html-italic">P. lobata</span> extract and active constituent on liver and pancreas tissues in STZ-induced T2DM mice. In the results of H&amp;E staining (<b>A</b>) and PAS staining (<b>B</b>) of liver (magnification, ×400), and H&amp;E staining of pancreas (<b>C</b>) (magnification, ×100), a–g represent the Control group, Model group, Metformin (Met) group, PUE group, and AC groups (50, 100, 200 mg/kg).</p>
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20 pages, 7072 KiB  
Article
Integrative Analyses of Metabolome and Transcriptome Reveal Regulatory Network of Puerarin Biosynthesis in Pueraria montana var. lobata
by Ting Zhu, Jianing He, Junting Li, Chenxi Liu, Xinyi Min, Xinyi Hu and Xia Liu
Molecules 2024, 29(23), 5556; https://doi.org/10.3390/molecules29235556 - 25 Nov 2024
Viewed by 523
Abstract
Kudzu, scientifically known as Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep (P. lobata), is a perennial vine belonging to the family Leguminosae. Puerarin, a unique constituent and primary active ingredient of this genus, exhibits a broad [...] Read more.
Kudzu, scientifically known as Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep (P. lobata), is a perennial vine belonging to the family Leguminosae. Puerarin, a unique constituent and primary active ingredient of this genus, exhibits a broad spectrum of pharmacological activities. This study started with several practical questions: Why is the root the main medicinal part? Why is it not peeled for medicinal purposes? Why is the harvest period usually from December to February? Although the puerarin biosynthesis pathway has been investigated, the stage at which the 8-C glycosylation reaction occurs remains controversial. In this study, metabolomics and transcriptomics analyses were performed on P. lobata organs and tissues, including leaves, young stems, mature stems, tuberous cortices, and cortex-excised tubers of roots. Two modules containing genes associated with puerarin biosynthesis were identified by WGCNA. The final selection of important candidate UDP-glucosyltransferases (UGTs) that may be involved in the puerarin biosynthesis pathway included two 8-C-GTs, three 7-O-GTs, and key transcription factors. On this basis, the regulatory network of puerarin biosynthesis was constructed and laid the foundation for the cultivation of high-quality medicinal kudzu with high puerarin content. Full article
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<p>The three possibilities for C-glucosylation in puerarin biosynthesis. Pathways 1 and 2: isoflavone stage; pathway 3: chalcone stage.</p>
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<p>Comprehensive analysis of flavonoid metabolites in <span class="html-italic">P. lobata</span>. (<b>a</b>) The proportion of flavonoids detected in <span class="html-italic">P. lobata</span>. (<b>b</b>) PCA of metabolites in different groups. PC1 (first principal component) and PC2 (second principal component) explained 41.97% and 28.74% of the dataset, respectively. (<b>c</b>) Heatmap of important flavonoids in puerarin biosynthesis pathway.</p>
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<p>Multi-combination KEGG enrichment scatterplot. The size of the dots represents the number of differential genes enriched in the pathway; the larger the dots are, the more differential genes were enriched in the pathway. The color of the dots represents the significance value of the enriched pathway; the redder the color of the dots, the more significant the enrichment.</p>
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<p>Correlation of genes with flavonoids by WGCNA. (<b>a</b>) Gene similarity clustering tree based on topological overlap, with module colors specified after clustering. (<b>b</b>) Module gene and metabolite correlation analysis plot. Each row corresponds to a module characterization gene and each column corresponds to a metabolite. Each module contains correlation coefficient and <span class="html-italic">p</span>-value. (<b>c</b>) Name of each module and number of genes contained within it.</p>
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<p>Heatmap of the expression of genes involved in puerarin biosynthesis. Each column represents a group of biological repeats and each row represents a gene. (<b>a</b>) Heatmap of expression of key differential structural genes in the brown module. (<b>b</b>) Heatmap of expression of differential structural genes in the green module. (<b>c</b>) Heatmap of expression of important TFs.</p>
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<p>Cluster diagrams for phylogenetic analysis of genes. (<b>a</b>) Phylogenetic relationships of UGTs in brown module form <span class="html-italic">P. lobata</span> and other plants. (<b>b</b>) Phylogenetic relationships of UGTs in green module form <span class="html-italic">P. lobata</span> and other plants. (<b>c</b>) Phylogenetic relationships of OMTs in brown module form <span class="html-italic">P. lobata</span> and other plants.</p>
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<p>Interaction network maps in puerarin biosynthesis. The thickness of the line represents the size of the <span class="html-italic">p</span>-value; a thinner line represents a smaller <span class="html-italic">p</span>-value. (<b>a</b>,<b>b</b>) Interaction network of genes and metabolites involved in puerarin biosynthesis. Circles indicate metabolites and diamonds indicate genes. Different genes are distinguished by different colors. (<b>c</b>) Interaction network of TFs and genes involved in puerarin biosynthesis. Circles indicate genes and diamonds indicate TFs.</p>
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<p>RT-qPCR results of the 6 genes related to puerarin biosynthesis. Analyzed by Duncan’s multiple range test; different letters in the same column indicate significant differences (<span class="html-italic">p</span>-value &lt; 0.05, <span class="html-italic">n</span> = 3).</p>
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<p>Different organs and tissues of <span class="html-italic">P. lobata</span> used in this study.</p>
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16 pages, 6646 KiB  
Article
Green Synthesis of Zinc Oxide Nanoparticles Using Puerarin: Characterization, Antimicrobial Potential, Angiogenesis, and In Ovo Safety Profile Assessment
by Sergio Liga, Raluca Vodă, Lavinia Lupa, Cristina Paul, Nicoleta Sorina Nemeş, Delia Muntean, Ștefana Avram, Mihaela Gherban and Francisc Péter
Pharmaceutics 2024, 16(11), 1464; https://doi.org/10.3390/pharmaceutics16111464 - 16 Nov 2024
Viewed by 1093
Abstract
Background: Zinc oxide nanobiocomposites were successfully synthesized using a green synthesis approach. The process involves the utilization of the isoflavone puerarin, resulting in the formation of PUE-ZnO NPs. Methods: Physico-chemical and biological characterization techniques including X-ray dif-fraction (XRD), UV-vis spectroscopy, Fourier transform infrared [...] Read more.
Background: Zinc oxide nanobiocomposites were successfully synthesized using a green synthesis approach. The process involves the utilization of the isoflavone puerarin, resulting in the formation of PUE-ZnO NPs. Methods: Physico-chemical and biological characterization techniques including X-ray dif-fraction (XRD), UV-vis spectroscopy, Fourier transform infrared spectroscopy (ATR-FTIR), scanning electron microscopy (SEM), atomic force microscopy (AFM), and in ovo methods were employed to study the main characteristics of this novel hybrid material. Results: The PUE-ZnO NPs were confirmed to have been successfully synthesized with a UV absorption peak at 340 nm, the XRD analysis demonstrating their high purity and crystallinity. The energy band-gap value of 3.30 eV suggests possible photocatalytic properties. Both SEM and AFM images revealed the nanoparticle`s quasi-spherical shape, roughness, and size. Good tolerability and anti-irritative effects were recorded in ovo on the chorioallantoic membrane (CAM). Conclusions: According to these results, the synthesis of green PUE-ZnO NPs may be a promising future approach for biomedical and personal care applications. Full article
(This article belongs to the Special Issue Advanced Nanotechnology for Combination Therapy and Diagnosis)
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<p>A schematic figure of puerarin-loaded ZnO nanoparticles and a summary of the techniques investigated.</p>
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<p>A schematic protocol of green synthesis of zinc oxide nanoparticles.</p>
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<p>XRD patterns of the ZnO NPs synthesized by a green pathway using puerarin at 50 °C.</p>
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<p>UV-vis analysis: (<b>a</b>) spectrum of puerarin (blue line) and of the green-synthesized ZnO NPs (red line); (<b>b</b>) band gap of the green-synthesized PUE-ZnO NPs.</p>
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<p>Superimposed FT-IR spectra of synthesized PUE-ZnO NPs (red) and puerarin (black).</p>
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<p>SEM analysis images of PUE-ZnO NPs obtained at different magnification: (<b>a</b>) 2 μm, 50,000×; (<b>b</b>) 4 μm, 25,000×; and (<b>c</b>) at 10 μm, 10,000×; (<b>d</b>) EDX spectra recorded for PUE-ZnO NPs.</p>
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<p>Particle size distribution histogram of PUE-ZnO NPs based on SEM analysis.</p>
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<p>The 3D AFM image of PUE-ZnO NPs, with (<b>a</b>) 2D image and (<b>b</b>) height distribution.</p>
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<p>Representative images of PUE-ZnO nanoparticles evaluated using the HET-CAM method. Stereomicroscopic images of the chorioallantoic membrane after treatment with H<sub>2</sub>O (negative control), SDS 0.5% (positive control), and test samples at a concentration of 100 μg/mL; images represent the CAM area of administration before sample application (t<sub>0</sub>) and five minutes after application (t<sub>f</sub>), by stereomicroscopy, 3.2× magnification.</p>
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<p>The angiogenesis assessment of PUE-ZnO nanoparticles, using the CAM assay. Stereomicroscope images represent the 24 h modification upon the treated vascular plexus; scale bars represent 500 µm.</p>
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50 pages, 8706 KiB  
Review
Metabolic-Associated Fatty Liver Disease: The Influence of Oxidative Stress, Inflammation, Mitochondrial Dysfunctions, and the Role of Polyphenols
by Raissa Bulaty Tauil, Paula Takano Golono, Enzo Pereira de Lima, Ricardo de Alvares Goulart, Elen Landgraf Guiguer, Marcelo Dib Bechara, Claudia C. T. Nicolau, José Luiz Yanaguizawa Junior, Adriana M. R. Fiorini, Nahum Méndez-Sánchez, Ludovico Abenavoli, Rosa Direito, Vitor Engrácia Valente, Lucas Fornari Laurindo and Sandra Maria Barbalho
Pharmaceuticals 2024, 17(10), 1354; https://doi.org/10.3390/ph17101354 - 10 Oct 2024
Viewed by 1974
Abstract
Metabolic-Associated Fatty Liver Disease (MAFLD) is a clinical–pathological scenario that occurs due to the accumulation of triglycerides in hepatocytes which is considered a significant cause of liver conditions and contributes to an increased risk of death worldwide. Even though the possible causes of [...] Read more.
Metabolic-Associated Fatty Liver Disease (MAFLD) is a clinical–pathological scenario that occurs due to the accumulation of triglycerides in hepatocytes which is considered a significant cause of liver conditions and contributes to an increased risk of death worldwide. Even though the possible causes of MAFLD can involve the interaction of genetics, hormones, and nutrition, lifestyle (diet and sedentary lifestyle) is the most influential factor in developing this condition. Polyphenols comprise many natural chemical compounds that can be helpful in managing metabolic diseases. Therefore, the aim of this review was to investigate the impact of oxidative stress, inflammation, mitochondrial dysfunction, and the role of polyphenols in managing MAFLD. Some polyphenols can reverse part of the liver damage related to inflammation, oxidative stress, or mitochondrial dysfunction, and among them are anthocyanin, baicalin, catechin, curcumin, chlorogenic acid, didymin, epigallocatechin-3-gallate, luteolin, mangiferin, puerarin, punicalagin, resveratrol, and silymarin. These compounds have actions in reducing plasma liver enzymes, body mass index, waist circumference, adipose visceral indices, lipids, glycated hemoglobin, insulin resistance, and the HOMA index. They also reduce nuclear factor-KB (NF-KB), interleukin (IL)-1β, IL-6, tumor necrosis factor-α (TNF-α), blood pressure, liver fat content, steatosis index, and fibrosis. On the other hand, they can improve HDL-c, adiponectin levels, and fibrogenesis markers. These results show that polyphenols are promising in the prevention and treatment of MAFLD. Full article
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<p>Factors related to the occurrence of Metabolic-Associated Fatty Liver Disease (MAFLD) and the possibility of the inhibition of this condition. An unhealthy diet, sedentary lifestyle, obesity, insulin resistance/diabetes, dyslipidemia, genetics, and excessive drug consumption are related to the pathogenesis of MAFLD and its progression to fibrosis, cirrhosis, and cancer. A healthy diet, physical exercise, and weight loss can improve metabolic conditions and can prevent or reduce MAFLD.</p>
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<p>The liver in the context of MAFLD. Lifestyle and metabolic alterations lead to an increased lipolysis of visceral adipose tissue, stimulating de novo lipogenesis, and an increase in FFA and VLDL (and a consequent efflux of this lipoprotein). Increased glucose intake results in increased pyruvate and Acetyl-CoA production, leading to increased TCA activity. Furthermore, there is augmented β-oxidation resulting in mitochondrial dysfunction. The consequences are mitochondrial dysfunction, altered mtDNA, an imbalance in respiration (reduction in ATP production), and RE stress. All these events are related to increased inflammation and ROS, which results in apoptosis and liver damage. Systemic inflammation occurs due to Kupffer cell activation. DNL: de novo lipogenesis; FFA: free fatty acid; IL: interleukin; JNK: c-Jun N-terminal kinase; M2: macrophage; mtDNA: mitochondrial DNA; NF-KB: nuclear factor-KB, NO: nitric acid; NLRP3: NLR family pyrin domain-containing 3; ROS: reactive oxygen species; VLDL: very-low-density lipoprotein; TG: triglyceride; TNF-α: tumor necrosis factor-α; TCA: tricarboxylic acid cycle.</p>
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<p>The activation of DNL and an increase in FFAs lead to mitochondrial alterations and an increase in oxidative stress and inflammation. The stimulation of the mitochondrial membrane permeability transition pore is also observed by mitochondrial alterations and the deposit of fatty acids. There is stimulation in the activity of inner membrane proteins, leading to a reduction in ATP production. Mitochondrial gene mutation (mt-DNA) also activates uncoupling proteins. AMPK: AMP-activated protein kinase; CoQ: coenzyme Q; Cyt C: cytochrome C; DNL: de novo lipogenesis; FAO: fatty acid oxidation; FFA: free fatty acid; PGC1α: peroxisome proliferator-activated receptor-γ coactivator 1-α; JNK: c-Jun N-terminal kinase; NF-KB: nuclear factor kappa B; SIRT3: sirtuin 3; TCA: tricarboxylic acid cycle; TNF-α: tumor necrosis factor-α; UCP: uncoupling protein.</p>
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<p>Polyphenols: classification and origin. Polyphenols are found in many fruits and vegetables and can be separated into phenolic acids, flavonoids, and non-flavonoids. Phenolic acids can be found in onion, tea, and coffee; flavonoids in grapes, pepper, broccoli, green tea, lemon, and soy; and non-flavonoids in grapes, peanut skin, and <span class="html-italic">Curcuma longa</span>. These compounds can protect the liver since they can reduce the risks for MAFLD, such as oxidative stress, inflammation, and lipid deposits. IL: interleukin; JNK: c-Jun N-terminal kinase; MAFLD: Metabolic-Associated Fatty Liver Disease; NF-KB: nuclear factor kappa B; Nrf2: nuclear factor erythroid 2-related factor 2, PKC: protein kinase C; ROS: reactive oxygen species; SREBP-1c: Sterol regulatory element-binding protein 1c.</p>
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<p>The main mechanisms of action promoted by phenols in MAFLD. A salubrious diet with an increased consumption of fruits and vegetables elevates the intake of polyphenols. These phytochemicals can inhibit liver cellular damage associated with MAFLD through varied mechanisms that may include a decrease in de novo lipogenesis due to the downregulation of SREBP-1c, elevating β-fatty acid oxidation through PPAR α upregulation, ameliorating insulin sensitivity, and reducing oxidative stress and inflammation processes. This scenario is related to a reduction in liver damage and systemic inflammation. JNK: c-Jun N-terminal kinase; NF-KB: nuclear factor kappa B; Nrf2: nuclear factor erythroid 2-related factor 2, PKC: protein kinase C; PPAR-α: peroxisome proliferator-activated receptor gamma; SREBP-1c: Sterol regulatory element-binding protein 1c; TCA: tricarboxylic acid cycle; TAG: triglyceride.</p>
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23 pages, 9817 KiB  
Article
The Impact of Exogenous Sodium Selenite Treatment on the Nutritional Value and Active Constituents of Pueraria lobata
by Hua Cheng, Lu Wang, Huiyi Gong, Li Wang, Yuanfei Chen, Shuiyuan Cheng and Linling Li
Horticulturae 2024, 10(10), 1081; https://doi.org/10.3390/horticulturae10101081 - 9 Oct 2024
Viewed by 659
Abstract
Moderate amounts of Se can promote crop growth, enhance stress resistance, increase yield, and improve nutritional quality. In the present study, kudzu seedlings were used as experimental materials, and their physiological indicators, antioxidant activity, nutritional components, and flavonoid content were measured after being [...] Read more.
Moderate amounts of Se can promote crop growth, enhance stress resistance, increase yield, and improve nutritional quality. In the present study, kudzu seedlings were used as experimental materials, and their physiological indicators, antioxidant activity, nutritional components, and flavonoid content were measured after being treated with Na2SeO3 hydroponics. Transcriptome sequencing analysis was used to reveal the relevant genes involved in regulating the effects of exogenous Se on the content of Se-compounds and flavonoids in kudzu. The results indicated that treatment with 20 mg/L Na2SeO3 significantly increased stem and root lengths, dry and fresh weight, lateral root development, and chlorophyll b content. However, at higher concentrations (30–40 mg/L), lateral root abundance and chlorophyll levels decreased. Na2SeO3 treatment also augmented the antioxidant capacity and enhanced the content of major nutrients in kudzu seedlings. The total Se content in kudzu escalated with increasing Na2SeO3 concentration, with selenomethionine emerging as the primary organic-Se species. After treatment with Na2SeO3, the content of puerarin in both aboveground and underground parts decreased, while the content of total flavonoids increased. Daidzin increased in the roots. Differential expression gene analysis revealed that genes such as TRXB2, SYM, MMT1, and METE were involved in Se uptake and transformation in kudzu, while bZIP43 and WRKY47 played a role in flavonoid biosynthesis. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>The effects of different concentrations of Na<sub>2</sub>SeO<sub>3</sub> treatment on the growth indicators of kudzu seedlings, including (<b>a</b>) the growth of kudzu seedlings; (<b>b</b>) the dry and fresh weight of the whole plant; (<b>c</b>) the water content; and (<b>d</b>) the number of lateral roots. The error bars in the figure represent the standard error of the mean for each treatment group with n = 3. Different letters indicate treatment groups that are significantly different after Duncan’s multiple range test, with a significance level of <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Illustrates the effects of different concentrations of Na<sub>2</sub>SeO<sub>3</sub> treatment on the photosynthetic pigment content in kudzu seedlings. The standard error of the mean (n = 3) is represented by error bars, and different letters indicate treatment groups that are significantly different after Duncan’s multiple range test, with a significance level of <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Depicts the impact of various concentrations of Na<sub>2</sub>SeO<sub>3</sub> treatment on antioxidant indices in the leaves of kudzu seedlings. (<b>a</b>) Vitamin C content; (<b>b</b>) GSH content; (<b>c</b>) MDA content; (<b>d</b>) POD enzyme activity; (<b>e</b>) SOD enzyme activity; (<b>f</b>) CAT enzyme activity; and (<b>g</b>) APx enzyme activity. The figure depicts the standard error of the mean (n = 3) represented by error bars, and distinct letters denote treatment groups that exhibit statistically significant differences following Duncan’s multiple range test, with a significance threshold set at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of different concentrations of Na<sub>2</sub>SeO<sub>3</sub> treatment on the nutritional indicators of kudzu seedling leaves. (<b>a</b>) Soluble sugar content; (<b>b</b>) soluble protein content; (<b>c</b>) anthocyanin content; (<b>d</b>) flavonoid content; (<b>e</b>) total phenol content. The error bars signify the standard error of the mean, calculated based on n = 3 observations, whereas the use of different letters denotes statistically significant differences among treatment groups as determined by Duncan’s multiple range test, with a pre-established significance threshold of <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of different concentrations of Na<sub>2</sub>SeO<sub>3</sub> on Se content in roots and shoots of kudzu seedlings. (<b>a</b>) Total Se content in shoots and roots of kudzu seedlings; (<b>b</b>) Different Se-species content in shoots; (<b>c</b>) Different Se-species content in roots. The standard error of the mean (n = 3) is indicated by error bars, and distinct letters denote treatment groups that exhibit statistically significant differences following Duncan’s multiple range test, with a significance threshold set at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Impact of various Na<sub>2</sub>SeO<sub>3</sub> concentrations on flavonoid content in roots and shoots of kudzu seedlings. (<b>a</b>) Flavonoid content in shoots; (<b>b</b>) Flavonoid content in roots, including puerarin, daidzin, genistin, ononin, daidzein, isoliquiritigenin, and genistein. The standard error of the mean (n = 3) is indicated by error bars, and distinct letters denote treatment groups that exhibit statistically significant differences following Duncan’s multiple range test, with a significance threshold set at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Construction of WGCNA co-expression network modules and module-trait association analysis of DEGs in kudzu seedlings treated with Na<sub>2</sub>SeO<sub>3</sub>. (<b>a</b>) Scale-free network fitting index (<span class="html-italic">R</span><sup>2</sup>) under different soft-thresholding powers, with the red line representing <span class="html-italic">R</span><sup>2</sup> = 0.9; (<b>b</b>) Average connectivity under different soft-thresholding powers; (<b>c</b>) Co-expression network constructed using dynamic tree cutting, with different modules labeled in distinct colors; (<b>d</b>) Correlation between Se forms and various WGCNA modules, with the corresponding modules labeled using colors. Different colors represent the correlation between modules, with red indicating stronger positive correlation and blue indicating stronger negative correlation.</p>
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<p>Correlation between WGCNA modules and processed samples, as well as between modules and Se-species content. (<b>a</b>) Correlation and characteristics between modules; (<b>b</b>) Heatmap of trait-module correlation. The different color blocks on the left represent different modules, making it easier to identify patterns and trends in the relevant matrix. The different color blocks on the left represent different modules, which facilitates the identification of gene expression patterns and trends in the correlation matrix. The color bar on the right represents the correlation between module genes and different treatment groups or Se species. The redder the color, the higher the positive correlation, and the bluer the color, the higher the negative correlation.</p>
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<p>Heatmap and network diagram of correlation between key genes and Se-species content. (<b>a</b>) Heatmap illustrating the correlation between key genes and Se-species content; (<b>b</b>) Network diagram depicting the correlation between key genes and Se-species content. In the heatmap, red represents a positive correlation, while blue indicates a negative correlation. The number of asterisks (*) signifies the level of significance, with * representing <span class="html-italic">p</span> &lt; 0.05 and ** representing <span class="html-italic">p</span> &lt; 0.01. In the network diagram, solid lines represent positive correlations, dashed lines represent negative correlations, the size of the circles indicates the number of correlated objects, and the thickness of the lines reflects the strength of the correlation (absolute value of connectivity &gt;0.7).</p>
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<p>Heatmap and network diagram depicting the correlation between key DEGs in three modules and flavonoid content. (<b>a</b>) Heatmap illustrating the correlation between key genes and flavonoid content. This heatmap visualizes the correlation between significant DEGs and flavonoid content. Red represents a positive correlation, while blue represents a negative correlation. The number of asterisks (*) indicates the level of significance, with * representing <span class="html-italic">p</span> &lt; 0.05 and ** representing <span class="html-italic">p</span> &lt; 0.01. (<b>b</b>) Network diagram depicting the correlation between key genes and flavonoid content. This network diagram further elucidates the correlation patterns. Solid lines represent positive correlations, while dashed lines represent negative correlations. The size of the circles corresponds to the number of correlated objects, and the thickness of the lines reflects the strength of the correlation (absolute connectivity value &gt; 0.7).</p>
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14 pages, 3700 KiB  
Article
The Inhibitory Impact of a Co-Assembly Gel with Natural Carrier-Free Binary Small Molecules, as Used in Traditional Chinese Medicine, on the Viability of SW1990 Cells
by Xueqiang Nie, Sifan Liu, Qiongxue Huang, Haifeng Wu, Qingxia Zheng, Xudong Xu, Bowen Li, Guoxu Ma, Xiaolei Zhou, Shuchen Liu and Weijuan Gao
Gels 2024, 10(9), 569; https://doi.org/10.3390/gels10090569 - 31 Aug 2024
Viewed by 1057
Abstract
Chinese herbs are a huge treasure trove of natural products and an important source of many active molecules. The theory of traditional Chinese medicine compatibility (TCMC) is widely applied in clinical practice, but its mechanism is still ambiguous. This study aims to open [...] Read more.
Chinese herbs are a huge treasure trove of natural products and an important source of many active molecules. The theory of traditional Chinese medicine compatibility (TCMC) is widely applied in clinical practice, but its mechanism is still ambiguous. This study aims to open a new window for this predicament by studying the interaction between the main active ingredients from a drug pair. Carrier-free assembly of natural products improves the shortcomings of traditional nanodelivery systems and opens a new path for the development of new nanomaterials. The drug pair “Pueraria and Hedyotis diffusa” has been commonly used in clinical practice, with a predominant therapeutic effect. This study is devoted to the study of the binary small molecule co-assembly of the main active molecules from the drug pair. In this study, we introduce a carrier-free composite gel, formed by the co-assembly of puerarin (PUE) and deacetylasperulosidic acid (DAA) via non-covalent bonds including π–π packing, intermolecular hydrogen bonding, and C=O π interactions. With a strain point 7-fold higher than that of P gel, the P − D gel exhibited favorable rheological properties. The survival rate of SW1990 cells in the P − D group was only 21.39% when the concentration of administration reached 200 μM. It thus demonstrated activity in inhibiting SW1990 cells’ survival, suggesting potential in combating pancreatic cancer. Furthermore, this research offers a valuable concept for enhancing the mechanical properties and bioactivity of hydrogel materials through the utilization of a multi-component natural small molecule co-assembly approach. More importantly, this provides new ideas and methods for the treatment of pancreatic cancer and the analysis of traditional Chinese medicine compatibility theory. Full article
(This article belongs to the Special Issue Recent Advances in Biopolymer Gels)
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<p>Schematic diagram of chemical structure of PUE and DAA and sol-gel transition of P − D gel.</p>
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<p>The morphology characteristics of P gel and P − D gel. (<b>a</b>) The visual appearance of P and P − D with different concentrations.(<b>b</b>) The SEM analysis of the raw material powder of PUE and DAA and the freeze-drying powder of the P gel and P − D gel.</p>
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<p>The micro-rheological and rheological analysis of P gel and P − D gel. (<b>a</b>) The variations of (left) EI, (right) FI with time at 25 °C. (<b>b</b>) Strain-dependent oscillatory shear rheological properties of the P gel (left) and P − D gel (right) at a frequency of 1 Hz (T = 25 °C). (<b>c</b>) Frequency-dependent oscillatory shear rheological properties of the P gel (left) and P − D gel (right) at the strain of 0.5% (T = 25 °C).</p>
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<p>(<b>a</b>) XRD results of the monomer of PUE, DAA, and P − D gel; (<b>b</b>) UV spectra of the monomer of PUE, DAA, and dried P − D gel; (<b>c</b>) FTIR spectra of PUE, DAA, and P − D gel; (<b>d</b>) <sup>1</sup>H NMR spectra of dried P − D gel in D<sub>2</sub>O at 75 °C (top) and 25 °C (bottom).</p>
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<p>(<b>a</b>) Electrostatic potential energy diagram of DAA (left) and PUE (right); (<b>b</b>) molecular binding mode diagram. The red structure belongs to the DAA and the green structure belongs to the PUE. The solid blue line represents hydrogen bonds, and the dashed blue line represents π–π interactions.</p>
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<p>The (<b>a</b>) SASA, (<b>b</b>) RMSD, (<b>c</b>) hydrogen bonds change over time during the co-assembly of simulated P − D molecular complexes. (<b>d</b>) The change of molecular conformation with time during the MD simulation of the co-assembly process of PUE–DAA system.</p>
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<p>Effect of non-assembled mixture (P + D) and P − D gel on SW1990 cell survival. The viability of human SW1990 pancreatic cancer cells was evaluated through an MTT assay. (NS indicates not significant; *** indicates <span class="html-italic">p</span> &lt; 0.001; **** indicates <span class="html-italic">p</span> &lt; 0.0001; ***** indicates <span class="html-italic">p</span> &lt; 0.00001).</p>
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16 pages, 5342 KiB  
Article
Puerarin Alleviates Blood Pressure via Inhibition of ROS/TLR4/NLRP3 Inflammasome Signaling Pathway in the Hypothalamic Paraventricular Nucleus of Salt-Induced Prehypertensive Rats
by Hong-Li Gao, Yu Yang, Hua Tian, Shen-Liang Xu, Bo-Wen Li, Li-Yan Fu, Kai-Li Liu, Xiao-Lian Shi, Yu-Ming Kang and Xiao-Jing Yu
Nutrients 2024, 16(16), 2580; https://doi.org/10.3390/nu16162580 - 6 Aug 2024
Viewed by 1431
Abstract
Background: Puerarin is an isoflavone compound isolated from the roots of a leguminous plant, the wild kudzu. Various functional activities of this compound in multiple diseases have been reported. However, the effect and mechanism of puerarin in improving blood pressure remain non-elucidated. Purpose: [...] Read more.
Background: Puerarin is an isoflavone compound isolated from the roots of a leguminous plant, the wild kudzu. Various functional activities of this compound in multiple diseases have been reported. However, the effect and mechanism of puerarin in improving blood pressure remain non-elucidated. Purpose: The current study was designed to assess the preventive effects of puerarin on the onset and progression of hypertension and to verify the hypothesis that puerarin alleviates blood pressure by inhibiting the ROS/TLR4/NLRP3 inflammasome signaling pathway in the hypothalamic paraventricular nucleus (PVN) of salt-induced prehypertensive rats. Methods: Male Dahl salt-sensitive rats were fed low NaCl salt (3% in drinking water) for the control (NS) group or 8% (HS) to induce prehypertension. Each batch was divided into two group and treated by bilateral PVN microinjection with either artificial cerebrospinal fluid or puerarin through a micro-osmotic pump for 6 weeks. The mean arterial pressure (MAP) was recorded, and samples were collected and analyzed. Results: We concluded that puerarin significantly prevented the elevation of blood pressure and effectively alleviated the increase in heart rate caused by high salt. Norepinephrine (NE) in the plasma of salt-induced prehypertensive rats also decreased upon puerarin chronic infusion. Additionally, analysis of the PVN sample revealed that puerarin pretreatment decreased the positive cells and gene level of TLR4 (Toll-like receptor 4), NLRP3, Caspase-1 p10, NOX2, MyD88, NOX4, and proinflammatory cytokines in the PVN. Puerarin pretreatment also decreased NF-κBp65 activity, inhibited oxidative stress, and alleviated inflammatory responses in the PVN. Conclusion: We conclude that puerarin alleviated blood pressure via inhibition of the ROS/TLR4/NLRP3 inflammasome signaling pathway in the PVN, suggesting the therapeutic potential of puerarin in the prevention of hypertension. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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<p>Puerarin treatment ameliorated (<b>A</b>) MAP, (<b>B</b>) HR, (<b>C</b>) NE in plasma levels and (<b>D</b>) NF-κB p65 activity in the PVN of salt-induced prehypertension. Non-invasive blood pressure measurement was used to detect the changes of mean blood pressure and heart rate of rats in each group. ELISA kits were used to evaluate the levels of NE in plasma and NF-κB p65 activity in the PVN. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 vs. control groups; <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 vs. puerarin-pretreated groups.</p>
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<p>Puerarin treatment ameliorated the number of positive cells of TLR4 in the PVN of salt-induced prehypertension. (<b>A</b>) Representative immunofluorescence staining of TLR4 (TLR4: red fluorescence, DAPI: blue fluorescence). (<b>B</b>) Densitometric analysis of immunofluorescence staining of TLR4. (<b>C</b>) mRNA expression of TLR4.The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin treatment ameliorated the number of positive cells of MyD88 in the PVN of salt-induced prehypertension. (<b>A</b>) Representative immunofluorescence staining of MyD88 (MyD88: green fluorescence, DAPI: blue fluorescence). (<b>B</b>) Densitometric analysis of immunofluorescence staining of MyD88. (<b>C</b>) mRNA expression of MyD88. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin treatment ameliorated the number of positive cells of NLRP3 in the PVN of salt-induced prehypertension. (<b>A</b>) Representative immunofluorescence staining of NLRP3 (NLRP3: green fluorescence, DAPI: blue fluorescence). (<b>B</b>) Densitometric analysis of immunofluorescence staining of NLRP3. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin treatment ameliorated the number of positive cells of Caspase-1 p10 in the PVN of salt-induced prehypertension. (<b>A</b>) Representative immunofluorescence staining of Caspase-1 p10 (Caspase-1 p10: green fluorescence, DAPI: blue fluorescence). (<b>B</b>) Densitometric analysis of immunofluorescence staining of Caspase-1 p10. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin treatment ameliorated oxidative stress in the PVN of salt-induced prehypertension. (<b>A</b>) Representative microphotographs of DHE staining. (<b>B</b>) Densitometric analysis of immunofluorescent intensity of DHE in the PVN. (<b>C</b>) mRNA expression of Mn-SOD. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin treatment ameliorated NAD(P)H oxidase subunit NOX2 and NOX4 in the PVN of salt-induced prehypertension. (<b>A</b>) Representative immunofluorescence staining of NOX2 (NOX2: red fluorescence, DAPI: blue fluorescence). (<b>B</b>) Densitometric analysis of immunofluorescence staining of NOX2. (<b>C</b>) mRNA expression of NOX4. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>Puerarin pretreatment ameliorated inflammatory cytokines in the PVN of salt-induced prehypertension. (<b>A</b>) mRNA expression of NOX4. (<b>B</b>) mRNA expression of IL-6. (<b>C</b>) mRNA expression of TNF α. (<b>D</b>) mRNA expression of iNOS. The data are expressed as the means ± SEM (<span class="html-italic">n</span> = 7 rats/group). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. 3V, third ventricle.</p>
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<p>A schematic diagram displaying the effect of puerarin on blood pressure. Puerarin improved salt-induced prehypertension, which may occur via the ROS/TLR4/NLRP3 inflammasome signaling pathway in the PVN.</p>
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15 pages, 1436 KiB  
Article
Enzymatic Fructosylation of Phenolic Compounds: A New Alternative for the Development of Antidiabetic Drugs
by Karla Damian-Medina, Azucena Herrera-González, Luis J. Figueroa-Yáñez and Javier Arrizon
Molecules 2024, 29(13), 3072; https://doi.org/10.3390/molecules29133072 - 27 Jun 2024
Viewed by 1093
Abstract
Enzymatic fructosylation has emerged as a strategy to enhance the hydrophilicity of polyphenols by introducing sugar moieties, leading to the development of phenolic glycosides, which exhibit improved solubility, stability, and biological activities compared to their non-glycosylated forms. This study provides a detailed analysis [...] Read more.
Enzymatic fructosylation has emerged as a strategy to enhance the hydrophilicity of polyphenols by introducing sugar moieties, leading to the development of phenolic glycosides, which exhibit improved solubility, stability, and biological activities compared to their non-glycosylated forms. This study provides a detailed analysis of the interactions between five phenolic fructosides (4MFPh, MFF, DFPh, MFPh, and MFPu) and twelve proteins (11β-HS1, CRP, DPPIV, IRS, PPAR-γ, GK, AMPK, IR, GFAT, IL-1ß, IL-6, and TNF-α) associated with the pathogenesis of T2DM. The strongest interactions were observed for phlorizin fructosides (DFPh) with IR (−16.8 kcal/mol) and GFAT (−16.9 kcal/mol). MFPh with 11β-HS1 (−13.99 kcal/mol) and GFAT (−12.55 kcal/mol). 4MFPh with GFAT (−11.79 kcal/mol) and IR (−12.11 kcal/mol). MFF with AMPK (−9.10 kcal/mol) and PPAR- γ (−9.71 kcal/mol), followed by puerarin and ferulic acid monofructosides. The fructoside group showed lower free energy binding values than the controls, metformin and sitagliptin. Hydrogen bonding (HB) was identified as the primary interaction mechanism, with specific polar amino acids such as serin, glutamine, glutamic acid, threonine, aspartic acid, and lysine identified as key contributors. ADMET results indicated favorable absorption and distribution characteristics of the fructosides. These findings provide valuable information for further exploration of phenolic fructosides as potential therapeutic agents for T2DM. Full article
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<p>Chemical structure of ferulic acid, pueranin, phlorizin, and their fructosides (created with <a href="https://www.biorender.com" target="_blank">https://www.biorender.com</a> accessed on 20 January 2024).</p>
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<p>Graphic representation of the top 5 best molecular docking interactions between ligands and T2DM target proteins. (<b>a</b>) best interaction poses of 4-O -Mono-fructosyl phlorizin with IL-6, (<b>b</b>) β-D-Fructopyranosyl-β-(2→6) ferulate with PPAR-γ, (<b>c</b>) Phlorizin-4-O-β-D-fructofuranosyl-(2→6)-D-fructofuranoside with GFAT, (<b>d</b>) β-D-Fructopyranosyl-β-(2→6) phlorizin with 11β-HS1, and (<b>e</b>) β-D-Fructopyranosyl-β-(2→6) puerarin with 11β-HS1.</p>
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30 pages, 2012 KiB  
Review
Puerariae lobatae Radix: Progress in Extraction, Separation Methods and Pharmacological Activities Research
by Erjian Gao, Wei Wang, Yuanyuan Huang, Zhijie Luo, Bangzheng Chen, Siqiu Xiao and Dewen Li
Separations 2024, 11(7), 195; https://doi.org/10.3390/separations11070195 - 24 Jun 2024
Viewed by 2082
Abstract
Kudzu root (Puerariae lobatae Radix) is the tuberous root of Pueraria lobata, family Leguminosae. Kudzu root contains a variety of beneficial active ingredients such as puerarin, daidzin, daidzein, genistenin, 3′-hydroxy puerarin, β-sitosterol, stigmasterol, arachidic acid, and so on. Modern medical research [...] Read more.
Kudzu root (Puerariae lobatae Radix) is the tuberous root of Pueraria lobata, family Leguminosae. Kudzu root contains a variety of beneficial active ingredients such as puerarin, daidzin, daidzein, genistenin, 3′-hydroxy puerarin, β-sitosterol, stigmasterol, arachidic acid, and so on. Modern medical research shows that active ingredients in kudzu root are widely used clinically as raw materials for the treatment of hyperglycemia, non-alcoholic fatty liver disease, myocardial infarction, alcohol addiction, oxidative stress, inflammatory response, and retinal blockage due to their various pharmacological effects such as improving cardiovascular circulation, lowering blood lipids, lowering blood pressure, lowering blood sugar, being antipyretic, being estrogen-like, and relieving alcohol. China has rich resources of kudzu root, and active ingredients are usually extracted before it is made into a preparation, so whether the extraction and separation process is reasonable will directly affect the ease of preparation and the efficacy of the treatment. This paper reviews the process methods for the extraction and separation of active ingredients in kudzu root and its common pharmacological activities. The aim is to provide some references for readers to compare the advantages and disadvantages of various extraction and separation methods as well as understand the active ingredients and pharmacological activities of kudzu root. Full article
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<p>Kudzu root (<span class="html-italic">Puerariae lobatae</span> Radix).</p>
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<p>The main chemical structures isolated from <span class="html-italic">Puerariae lobatae</span> Radix.</p>
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<p>The main chemical structures isolated from <span class="html-italic">Puerariae lobatae</span> Radix.</p>
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<p>The main chemical structures isolated from <span class="html-italic">Puerariae lobatae</span> Radix.</p>
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20 pages, 28743 KiB  
Article
Exploring the Underlying Mechanisms of Qingxing Granules Treating H1N1 Influenza Based on Network Pharmacology and Experimental Validation
by Hujun Du, Lianying Zhang, Haoxiang Sun, Shaoqin Zheng, Hongying Zhang, Shijia Yuan, Jiuyao Zhou, Zihao Fang, Jianping Song, Manxue Mei and Changsheng Deng
Pharmaceuticals 2024, 17(6), 731; https://doi.org/10.3390/ph17060731 - 5 Jun 2024
Cited by 1 | Viewed by 1318
Abstract
Background: H1N1 is one of the major subtypes of influenza A virus (IAV) that causes seasonal influenza, posing a serious threat to human health. A traditional Chinese medicine combination called Qingxing granules (QX) is utilized clinically to treat epidemic influenza. However, its chemical [...] Read more.
Background: H1N1 is one of the major subtypes of influenza A virus (IAV) that causes seasonal influenza, posing a serious threat to human health. A traditional Chinese medicine combination called Qingxing granules (QX) is utilized clinically to treat epidemic influenza. However, its chemical components are complex, and the potential pharmacological mechanisms are still unknown. Methods: QX’s effective components were gathered from the TCMSP database based on two criteria: drug-likeness (DL ≥ 0.18) and oral bioavailability (OB ≥ 30%). SwissADME was used to predict potential targets of effective components, and Cytoscape was used to create a “Herb-Component-Target” network for QX. In addition, targets associated with H1N1 were gathered from the databases GeneCards, OMIM, and GEO. Targets associated with autophagy were retrieved from the KEGG, HAMdb, and HADb databases. Intersection targets for QX, H1N1 influenza, and autophagy were identified using Venn diagrams. Afterward, key targets were screened using Cytoscape’s protein–protein interaction networks built using the database STRING. Biological functions and signaling pathways of overlapping targets were observed through GO analysis and KEGG enrichment analysis. The main chemical components of QX were determined by high-performance liquid chromatography (HPLC), followed by molecular docking. Finally, the mechanism of QX in treating H1N1 was validated through animal experiments. Results: A total of 786 potential targets and 91 effective components of QX were identified. There were 5420 targets related to H1N1 and 821 autophagy-related targets. The intersection of all targets of QX, H1N1, and autophagy yielded 75 intersecting targets. Ultimately, 10 core targets were selected: BCL2, CASP3, NFKB1, MTOR, JUN, TNF, HSP90AA1, EGFR, HIF1A, and MAPK3. Identification of the main chemical components of QX by HPLC resulted in the separation of seven marker ingredients within 195 min, which are amygdalin, puerarin, baicalin, phillyrin, wogonoside, baicalein, and wogonin. Molecular docking results showed that BCL2, CASP3, NFKB1, and MTOR could bind well with the compounds. In animal studies, QX reduced the degenerative alterations in the lung tissue of H1N1-infected mice by upregulating the expression of p-mTOR/mTOR and p62 and downregulating the expression of LC3, which inhibited autophagy. Conclusions: According to this study’s network pharmacology analysis and experimental confirmation, QX may be able to treat H1N1 infection by regulating autophagy, lowering the expression of LC3, and increasing the expression of p62 and p-mTOR/mTOR. Full article
(This article belongs to the Section Pharmacology)
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<p>The technology roadmap of network pharmacology in this study.</p>
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<p>“Drug-Compound-Target” network of Qingxing granules.</p>
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<p>Core target screening of Qingxing granules. (<b>A</b>) Venn diagrams of QX “Component Target-Disease Target” and “Component Target-Disease Target-Autophagy Gene”; (<b>B</b>) PPI network of QX treatment for H1N1.</p>
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<p>GO enrichment analysis bubble chart.</p>
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<p>KEGG pathway enrichment analysis bubble chart.</p>
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<p>HPLC characteristic chromatogram of Qingxing granules.</p>
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<p>Molecular docking models of key compounds and core targets. (<b>a</b>) AmygdalinmTOR; (<b>b</b>) baicalein-mTOR; (<b>c</b>) baicalin-mTOR; (<b>d</b>) phillyrin-mTOR; (<b>e</b>) puerarin-mTOR; (<b>f</b>) wogonin-mTOR; (<b>g</b>) wogonoside-mTOR; (<b>h</b>) phillyrin-CASP3; (<b>i</b>) phillyrin-BCL2; (<b>j</b>) wogonoside-BCL2.</p>
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<p>Improvement effect of QX on mice infected with H1N1. (<b>a</b>) Changes in lung index of different groups of mice; (<b>b</b>) changes in H1N1 virus titers in lung tissues of mice from different groups; (<b>c</b>) variations in the overall white blood cell, lymphocyte, and monocyte characteristics in mouse blood; (<b>d</b>) the gross appearance of lung tissues from different groups of mice; (<b>e</b>) HE staining observations of mice in different groups. Scale bar = 100 µm; (<b>f</b>) The lung tissue was assessed using a histopathological grading scale, which ranged from 0 (indicating no alterations) to 3 (representing severe pathological conditions). Data are presented as mean ± SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, compared with the virus group; <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, compared with the Control group.</p>
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<p>Qingxing granules affect mice infected with H1N1 through autophagy. (<b>a</b>) Observation of the number of autophagosomes and autolysosomes in the normal group, virus group, and medium-dose QX group mice under transmission electron microscopy. The red arrow points to the target as the autophagosome. The yellow arrow points to the autolysosome. Scale bar = 1 µm; (<b>b</b>) LC3, p62, and p-mTOR/mTOR expression measurements in mouse lung tissue employing Western blot research. Data are presented as mean ± SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, compared with the virus group; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, compared with the Control group.</p>
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23 pages, 2595 KiB  
Article
Qualitative and Quantitative Analysis of Chemical Components in Yinhua Pinggan Granule with High-Performance Liquid Chromatography Coupled with Q-Exactive Mass Spectrometry
by Imranjan Yalkun, Haofang Wan, Lulu Ye, Li Yu, Yu He, Chang Li and Haitong Wan
Molecules 2024, 29(10), 2300; https://doi.org/10.3390/molecules29102300 - 14 May 2024
Viewed by 1572
Abstract
Yinhua Pinggan Granule (YPG) is an approved compounded traditional Chinese medicine (TCM) prescription for the treatment of cold, cough, viral pneumonia, and related diseases. Due to its complicated chemical composition, the material basis of YPG has not been systematically investigated. In this study, [...] Read more.
Yinhua Pinggan Granule (YPG) is an approved compounded traditional Chinese medicine (TCM) prescription for the treatment of cold, cough, viral pneumonia, and related diseases. Due to its complicated chemical composition, the material basis of YPG has not been systematically investigated. In this study, an analytical method based on high-performance liquid chromatography (HPLC) coupled with Q-Exactive mass spectrometry was established. Together with the help of a self-built compound database and Compound Discoverer software 3.1, the chemical components in YPG were tentatively identified. Subsequently, six main components in YPG were quantitatively characterized with a high-performance liquid chromatography–diode array detector (HPLC-DAD) method. As a result, 380 components were annotated, including 19 alkaloids, 8 organic acids, 36 phenolic acids, 27 other phenols, 114 flavonoids, 75 flavonoid glycoside, 72 terpenes, 11 anthraquinones, and 18 other compounds. Six main components, namely, chlorogenic acid, puerarin, 3′-methoxypuerarin, polydatin, glycyrrhizic acid, and emodin, were quantified simultaneously. The calibration curves of all six analytes showed good linearity (R2 > 0.9990) within the test ranges. The precision, repeatability, stability, and recovery values were all in acceptable ranges. In addition, the total phenol content and DPPH scavenging activity of YPG were also determined. The systematic elucidation of the chemical components in YPG in this study may provide clear chemical information for the quality control and pharmacological research of YPG and related TCM compounded prescriptions. Full article
(This article belongs to the Section Natural Products Chemistry)
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Graphical abstract
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<p>The HPLC chromatogram of YPG (wavelength = 254 nm). <b>1</b>. Chlorogenic acid; <b>2</b>. puerarin; <b>3</b>. 3′-methoxypuerarin; <b>4</b>. polydatin; <b>5</b>. glycyrrhizic acid; <b>6</b>. emodin.</p>
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<p>The BPCs of YPG in positive (<b>A</b>) and negative (<b>B</b>) modes.</p>
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<p>(<b>a</b>) The distribution of plant sources tentatively identified in YPG; (<b>b</b>) the types of compounds tentatively identified in YPG.</p>
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<p>MS/MS spectrum of [M + H]<sup>+</sup> ions and plausible fragmentation pathway of chlorogenic acid (positive ion mode).</p>
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<p>MS/MS spectrum of [M − H]<sup>−</sup> ions and plausible fragmentation pathway of puerarin (negative ion mode).</p>
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<p>MS/MS spectrum of [M + H]<sup>+</sup> ions and plausible fragmentation pathway of methylephedrine (positive ion mode).</p>
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<p>MS/MS spectrum of [M + H]<sup>+</sup> ions and plausible fragmentation pathway of glycyrrhizic acid (positive ion mode).</p>
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<p>Quantitative analysis results of six main components in YPG.</p>
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26 pages, 141589 KiB  
Article
Puerarin Modulates Hepatic Farnesoid X Receptor and Gut Microbiota in High-Fat Diet-Induced Obese Mice
by Ching-Wei Yang, Hsuan-Miao Liu, Zi-Yu Chang, Geng-Hao Liu, Hen-Hong Chang, Po-Yu Huang and Tzung-Yan Lee
Int. J. Mol. Sci. 2024, 25(10), 5274; https://doi.org/10.3390/ijms25105274 - 12 May 2024
Cited by 2 | Viewed by 2063
Abstract
Obesity is associated with alterations in lipid metabolism and gut microbiota dysbiosis. This study investigated the effects of puerarin, a bioactive isoflavone, on lipid metabolism disorders and gut microbiota in high-fat diet (HFD)-induced obese mice. Supplementation with puerarin reduced plasma alanine aminotransferase, liver [...] Read more.
Obesity is associated with alterations in lipid metabolism and gut microbiota dysbiosis. This study investigated the effects of puerarin, a bioactive isoflavone, on lipid metabolism disorders and gut microbiota in high-fat diet (HFD)-induced obese mice. Supplementation with puerarin reduced plasma alanine aminotransferase, liver triglyceride, liver free fatty acid (FFA), and improved gut microbiota dysbiosis in obese mice. Puerarin’s beneficial metabolic effects were attenuated when farnesoid X receptor (FXR) was antagonized, suggesting FXR-mediated mechanisms. In hepatocytes, puerarin ameliorated high FFA-induced sterol regulatory element-binding protein (SREBP) 1 signaling, inflammation, and mitochondrial dysfunction in an FXR-dependent manner. In obese mice, puerarin reduced liver damage, regulated hepatic lipogenesis, decreased inflammation, improved mitochondrial function, and modulated mitophagy and ubiquitin-proteasome pathways, but was less effective in FXR knockout mice. Puerarin upregulated hepatic expression of FXR, bile salt export pump (BSEP), and downregulated cytochrome P450 7A1 (CYP7A1) and sodium taurocholate transporter (NTCP), indicating modulation of bile acid synthesis and transport. Puerarin also restored gut microbial diversity, the Firmicutes/Bacteroidetes ratio, and the abundance of Clostridium celatum and Akkermansia muciniphila. This study demonstrates that puerarin effectively ameliorates metabolic disturbances and gut microbiota dysbiosis in obese mice, predominantly through FXR-dependent pathways. These findings underscore puerarin’s potential as a therapeutic agent for managing obesity and enhancing gut health, highlighting its dual role in improving metabolic functions and modulating microbial communities. Full article
(This article belongs to the Special Issue Gut Microbiota in Gastroenterology and Hepatology 2.0)
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Figure 1
<p>Effects of puerarin on HFFA-mediated lipid accumulation, NF-κB nuclear translocation, mitochondrial function, and FXR signaling in AML12 cells. (<b>A</b>) Oil-Red O (red) staining reveals intracellular lipid accumulation, and immunofluorescence indicates SREBP1 (green) and NF-κB (p65, green) levels. (<b>B</b>) Visualization of reactive oxygen species (ROS, green) and mitochondrial integrity. (<b>C</b>) Expression levels of FXR (green), BSEP (green), and CYP7A1 (green) demonstrated through immunofluorescence. Scale bars, 20 µm. Nuclei of corresponding cells visualized by DAPI staining. Red arrow highlights positive staining. The white box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. * <span class="html-italic">p</span> &lt; 0.05, control vs. HFFA; # <span class="html-italic">p</span> &lt; 0.05, HFFA vs. HFFA + PUR.</p>
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<p>Impact of puerarin on cellular responses in AML12 cells treated with siFXR and HFFA. (<b>A</b>) Assessment of intracellular lipid inclusions and localization of SREBP1 (green) and NF-κB (p65, green) proteins using fluorescence. (<b>B</b>) Visualization of reactive oxygen species (ROS, green) and mitochondrial integrity. (<b>C</b>) Expression of FXR (green), BSEP (green), and CYP7A1 (green) indicated through immunofluorescence. Nuclei of corresponding cells visualized by DAPI (blue)staining. Scale bars, 20 µm. Red arrow highlights positive staining. The white box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. † <span class="html-italic">p</span> &lt; 0.05, control vs. siFXR; ‡ <span class="html-italic">p</span> &lt; 0.05, siFXR vs. siFXR + HFFA; ¥ <span class="html-italic">p</span> &lt; 0.05, siFXR + HFFA vs. siFXR + HFFA + PUR.</p>
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<p>Puerarin mitigates HFFA-induced inflammatory factors, ROS, and mitochondrial biogenesis and activity impairment in AML12 cells. (<b>A</b>–<b>D</b>) Concentrations of pro-inflammatory cytokines TNFα, IFNγ, MCP-1, and IL-1β. (<b>E</b>,<b>F</b>) Analysis of ROS and MDA levels. (<b>G</b>) Assessment of anti-oxidant capacity. (<b>H</b>) Analysis of mitochondrial damage. (<b>I</b>–<b>L</b>) Enzymatic activities of Complexes I, II, III, and IV. (<b>M</b>–<b>P</b>) Expression levels of <span class="html-italic">Sirt1</span>, <span class="html-italic">Pgc1α</span>, <span class="html-italic">Ucp1</span>, and <span class="html-italic">Tfam</span> mRNA. Statistical significance denoted as follows: * <span class="html-italic">p</span> &lt; 0.05, control vs. HFFA; # <span class="html-italic">p</span> &lt; 0.05, HFFA vs. HFFA + PUR; † <span class="html-italic">p</span> &lt; 0.05, control vs. siFXR; ‡ <span class="html-italic">p</span> &lt; 0.05, siFXR vs. siFXR + HFFA; ¥ <span class="html-italic">p</span> &lt; 0.05, siFXR+ HFFA vs. siFXR + HFFA + PUR.</p>
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<p>Effects of puerarin on liver damage and lipid metabolism in HFD-induced obese mice. (<b>A</b>) Body weight (g). (<b>B</b>) Food intake (Kcal). (<b>C</b>) Liver weight/Body weight (%). (<b>D</b>) Plasma ALT. (<b>E</b>) Representative pictures of HE and Oil Red O staining of liver section. (<b>F</b>) Histological scores. (<b>G</b>) Liver TG. (<b>H</b>) Liver FFA. (<b>I</b>) Immunohistochemical staining of CD36 and SREBP-1c in liver. Red arrow highlights positive staining. Scale bars, 50 µm. Red arrow highlights positive staining. (<b>J</b>,<b>K</b>) Positive staining intensity of SREBP1 and CD36. (<b>L</b>–<b>O</b>) qRT-PCR analysis of <span class="html-italic">Srebp1</span>, <span class="html-italic">Fas</span>, <span class="html-italic">Scd1</span>, and <span class="html-italic">Acc1</span> mRNA expression in liver. Relative mRNA expression normalized to <span class="html-italic">Gapdh</span> and controls. The black box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. In all panels, results are expressed as mean ± S.E.M. of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; † <span class="html-italic">p</span> &lt; 0.05, normal vs. FXR KO; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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<p>Puerarin attenuates inflammatory response in HFD-induced obese mice. (<b>A</b>) Protein expression levels of NLRP3 and MCP-1 in liver. Red arrow highlights positive staining. Scale bar: 50 μm. The black box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. (<b>B</b>) Positive staining intensity of NLRP3 and MCP-1. Red arrow highlights positive staining. Expression levels of inflammatory cytokines IL-1β, in liver. mRNA expression (<b>C</b>) <span class="html-italic">Tnfα</span>, <span class="html-italic">Ifnγ</span>, <span class="html-italic">Il-1β</span>, <span class="html-italic">Mcp-1</span>, (<b>D</b>) inflammasome-related factors <span class="html-italic">Nlrp3</span>, <span class="html-italic">Pannexin</span>, <span class="html-italic">Asc</span>, and <span class="html-italic">Pro-casp 1</span> in liver. * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; † <span class="html-italic">p</span> &lt; 0.05, normal vs. FXR KO; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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<p>Regulation of mitochondrial biogenesis by puerarin in HFD-induced obesity mice. (<b>A</b>) Protein expression levels of SIRT1 and PGC1α. Immunofluorescence images showing protein expression levels of mitochondria (red), mitochondrial complex IV (red), and UCP1 (green) in liver. Scale bars, 50 µm. White arrow highlights positive staining. Red and white arrow highlights positive staining. qRT-PCR analysis of (<b>B</b>) <span class="html-italic">Sirt1</span>, <span class="html-italic">Pgc1α</span>, <span class="html-italic">Ucp1</span>, <span class="html-italic">COXI</span>, <span class="html-italic">COX II</span>, <span class="html-italic">COXVI</span>, and <span class="html-italic">COXV</span> mRNA expression in liver. Relative mRNA expression was normalized to <span class="html-italic">Gapdh</span> and then normalized to controls. (<b>C</b>) Enzymatic activities of Complexes I, III, and IV. (<b>D</b>,<b>E</b>) Analysis of Citrate synthase and MDA levels. The black and white box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. In all panels, results are expressed as mean ± S.E.M. of five independent experiments * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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<p>Regulation of mitophagy by puerarin in HFD-induced obesity mice. (<b>A</b>) Immunofluorescence images showing protein expression levels of Parkin, mitochondria, ubiquitin, and LC3B in liver. White arrow highlights positive staining. Scale bar: 50 μm. qRT-PCR analysis of (<b>B</b>) <span class="html-italic">Pink</span>, <span class="html-italic">Ndp52</span>, <span class="html-italic">Phb2</span>, <span class="html-italic">Ambra1</span>, (<b>C</b>) <span class="html-italic">Binp3</span>, <span class="html-italic">Nix</span>, <span class="html-italic">Fundc</span>, and <span class="html-italic">Bcl2</span> mRNA expression in liver. Relative mRNA expression normalized to <span class="html-italic">Gapdh</span> and then normalized to controls. The white box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. In all panels, results are expressed as mean ± S.E.M. of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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<p>Impact of puerarin on bile acid transport proteins and FXR signaling in obese mice. Representative FXR, BSEP, CYP7A1, and NTCP staining of liver. Scale bar: 50 μm. Red arrow highlights positive staining. Quantification of FXR, BSEP, CYP7A1, and NTCP protein levels by positive staining of liver. The black box in the image indicates the region of positive area, which is magnified and displayed below for detailed examination. In all panels, results are expressed as mean ± S.E.M. of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; † <span class="html-italic">p</span> &lt; 0.05, normal vs. FXR KO; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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<p>Puerarin alters intestinal microbial composition in mice. (<b>A</b>) PCA plot based on abundance of bacterial gene sequences in fecal content. Axes correspond to principal component 1 (x axis) and 2 (y axis). Alpha diversity measurements of microbiota across locations. (<b>B</b>) Shannon and (<b>C</b>) Chao1′s diversity index. (<b>D</b>) Microbial community bar plot by phylum relative abundance (%). (<b>E</b>) <span class="html-italic">Firmicutes/Bacteroidetes</span> ratio. Abundance of (<b>F</b>) <span class="html-italic">Firmicutes</span> and (<b>G</b>) <span class="html-italic">Proteobacteria</span> by phylum. Abundance of (<b>H</b>–<b>L</b>) <span class="html-italic">Clostridiaceae</span>, <span class="html-italic">Helicobacteraceae</span>, <span class="html-italic">Erysipelotrichaceae</span>, <span class="html-italic">Paraprevotellaceae</span>, and <span class="html-italic">Porphyromonadaceae</span> by family. (<b>M</b>) Microbial community bar plot by species relative abundance (%). Abundance of (<b>N</b>) <span class="html-italic">Clostridium celatum</span>, (<b>O</b>) <span class="html-italic">Helicobacter hepaticus</span>, (<b>P</b>) <span class="html-italic">Akkermansia muciniphila</span>, and (<b>Q</b>) <span class="html-italic">Turicibacter sanguinis</span> by species. In all panels, results are expressed as mean ± S.E.M. of five independent experiments. * <span class="html-italic">p</span> &lt; 0.05, normal vs. HFD; # <span class="html-italic">p</span> &lt; 0.05, HFD vs. HFD + PUR; † <span class="html-italic">p</span> &lt; 0.05, normal vs. FXR KO; ‡ <span class="html-italic">p</span> &lt; 0.05, FXR KO vs. FXR KO + HFD; ¥ <span class="html-italic">p</span> &lt; 0.05, FXR KO + HFD vs. FXR KO + HFD + PUR.</p>
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19 pages, 1211 KiB  
Review
Puerarin—A Promising Flavonoid: Biosynthesis, Extraction Methods, Analytical Techniques, and Biological Effects
by Sergio Liga and Cristina Paul
Int. J. Mol. Sci. 2024, 25(10), 5222; https://doi.org/10.3390/ijms25105222 - 10 May 2024
Cited by 2 | Viewed by 2681
Abstract
Flavonoids, a variety of plant secondary metabolites, are known for their diverse biological activities. Isoflavones are a subgroup of flavonoids that have gained attention for their potential health benefits. Puerarin is one of the bioactive isoflavones found in the Kudzu root and Pueraria [...] Read more.
Flavonoids, a variety of plant secondary metabolites, are known for their diverse biological activities. Isoflavones are a subgroup of flavonoids that have gained attention for their potential health benefits. Puerarin is one of the bioactive isoflavones found in the Kudzu root and Pueraria genus, which is widely used in alternative Chinese medicine, and has been found to be effective in treating chronic conditions like cardiovascular diseases, liver diseases, gastric diseases, respiratory diseases, diabetes, Alzheimer’s disease, and cancer. Puerarin has been extensively researched and used in both scientific and clinical studies over the past few years. The purpose of this review is to provide an up-to-date exploration of puerarin biosynthesis, the most common extraction methods, analytical techniques, and biological effects, which have the potential to provide a new perspective for medical and pharmaceutical research and development. Full article
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Figure 1
<p>A schematic illustration of the basic structure, natural sources, and biological effects of flavonoids, including the most common isoflavones.</p>
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<p>Chemical structure of puerarin.</p>
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<p>Overview of the main steps of the puerarin biosynthesis pathway.</p>
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16 pages, 6937 KiB  
Article
Benefits of Puerarin on Metabolic Syndrome and Its Associated Cardiovascular Diseases in Rats Fed a High-Fat/High-Sucrose Diet
by Yu Mu, Yalin Yang, Shuang Jiang, Chilu Liu, Yanxing Han, Jiandong Jiang and Yuhong Wang
Nutrients 2024, 16(9), 1273; https://doi.org/10.3390/nu16091273 - 25 Apr 2024
Cited by 1 | Viewed by 1585
Abstract
Metabolic syndrome (MetS) is a cluster of risk factors for cardiovascular diseases (CVDs) that has become a global public health problem. Puerarin (PUE), the principal active compound of Pueraria lobata, has the effects of regulating glucose and lipid metabolism and protecting against cardiovascular [...] Read more.
Metabolic syndrome (MetS) is a cluster of risk factors for cardiovascular diseases (CVDs) that has become a global public health problem. Puerarin (PUE), the principal active compound of Pueraria lobata, has the effects of regulating glucose and lipid metabolism and protecting against cardiovascular damage. This study aimed to investigate whether dietary supplementation with PUE could ameliorate MetS and its associated cardiovascular damage. Rats were randomly divided into three groups: the normal diet group (NC), the high-fat/high-sucrose diet group (HFHS), and the HFHS plus PUE diet group (HFHS-PUE). The results showed that PUE-supplemented rats exhibited enhanced glucose tolerance, improved lipid parameters, and reduced blood pressure compared to those on the HFHS diet alone. Additionally, PUE reversed the HFHS-induced elevations in the atherogenic index (AI) and the activities of serum lactate dehydrogenase (LDH) and creatine kinase (CK). Ultrasonic evaluations indicated that PUE significantly ameliorated cardiac dysfunction and arterial stiffness. Histopathological assessments further confirmed that PUE significantly mitigated cardiac remodeling, arterial remodeling, and neuronal damage in the brain. Moreover, PUE lowered systemic inflammatory indices including C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII). In conclusion, dietary supplementation with PUE effectively moderated metabolic disorders, attenuated systemic inflammation, and minimized cardiovascular damage in rats with MetS induced by an HFHS diet. These results provide novel insights into the potential benefits of dietary PUE supplementation for the prevention and management of MetS and its related CVDs. Full article
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Figure 1
<p>Effects of PUE on changes in metabolic parameters in HFHS diet rats. (<b>A</b>) Schematic diagram of experiments in rats; (<b>B</b>) body weight; (<b>C</b>) oral glucose tolerance test (OGTT); (<b>D</b>) OGTT area under the curve (AUC); serum levels of (<b>E</b>) total cholesterol (TC), (<b>F</b>) triglyceride (TG), (<b>G</b>) low-density lipoprotein cholesterol (LDL-C) and (<b>H</b>) high-density lipoprotein cholesterol (HDL-C); (<b>I</b>) systolic blood pressure (SBP); (<b>J</b>) diastolic blood pressure (DBP); (<b>K</b>) mean arterial pressure (MAP). NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (n ≥ 5). * <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 vs. NC; # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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<p>Effects of PUE on cardiovascular damage indicators. (<b>A</b>) Atherogenic index (AI); serum activities of (<b>B</b>) lactate dehydrogenase (LDH) and (<b>C</b>) creatine kinase (CK). NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (n ≥ 5). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. NC; ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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<p>Effect of PUE on cardiac injury associated with MetS in HFHS diet rats. (<b>A</b>) Representative M-mode echocardiographic and PW Doppler images; (<b>B</b>) left ventricular anterior wall thickness (LVAW); (<b>C</b>) left ventricular internal diameter (LVID); (<b>D</b>) end-diastolic volume (EDV); (<b>E</b>) left ventricular ejection fraction (EF); (<b>F</b>) fractional shortening (FS); (<b>G</b>) the mitral inflow E and A wave ratio (E/A); (<b>H</b>) representative images of H&amp;E-stained sections of the left ventricle (×20; framed zone: ×5); (<b>I</b>) BNP, (<b>J</b>) ANP mRNA expression in the left ventricle; (<b>K</b>) representative images of HE-stained sections of cross-sectional view of cardiomyocytes (×40); (<b>L</b>) heart index; (<b>M</b>) cross-sectional area of cardiomyocytes (CSA); (<b>N</b>) representative images of Masson-stained sections of the left ventricle (×20; framed zone: ×5); (<b>O</b>) Collagen I and (<b>P</b>) α-SMA mRNA expression in the left ventricle. NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (n ≥ 5). * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001 vs. NC; # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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<p>Effect of PUE on arterial stiffness associated with MetS in HFHS diet rats. (<b>A</b>) The pulse wave velocity (PWV) of abdominal aorta; (<b>B</b>) representative H&amp;E-stained sections of the abdominal aorta (×20; framed zone: ×5); (<b>C</b>) measurement of the media thickness of the abdominal aorta; (<b>D</b>) representative Masson-stained sections of the abdominal aorta (×20; framed zone: ×5); (<b>E</b>) measurement of the collagen volume fraction of the abdominal aorta. NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (A, n ≥ 5; D-E, n = 3). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. NC; # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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<p>Effect of PUE on neuronal damage associated with MetS in HFHS diet rats. (<b>A</b>) Representative images of H&amp;E staining of the CA1 and DG region of the hippocampus (×20); (<b>B</b>) representative images of H&amp;E staining of the cortex (×10, ×20); (<b>C</b>) representative images of immunofluorescence staining of neurons in the hippocampus (×5) and (<b>D</b>) cortex (×5); (<b>E</b>) quantitative analysis of NeuN-positive cells number in the hippocampus and (<b>F</b>) cortex. Aberrant morphology of neurons (black arrow), capillaries (little arrow). NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (n = 3). * <span class="html-italic">p</span> &lt; 0.05 vs. NC; # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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<p>Effects of PUE on systemic inflammatory indices in HFHS diet rats. Comparative measurement of (<b>A</b>) the serum C-reactive protein (CRP) levels, (<b>B</b>) the neutrophils count (NEUs), (<b>C</b>) the white blood cells count (WBCs), (<b>D</b>) neutrophil-to-lymphocyte ratio (NLR), (<b>E</b>) monocyte to lymphocyte ratio (MLR), and (<b>F</b>) the systemic immune-inflammation index (SII). NC: Normal-chow diet; HFHS: High-fat/high-sucrose diet; HFHS-PUE: High-fat/high-sucrose diet plus puerarin. Values were presented as mean ± SEM (n ≥ 5). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. NC; # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 vs. HFHS.</p>
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20 pages, 3814 KiB  
Review
Bupleurum in Treatment of Depression Disorder: A Comprehensive Review
by Shuzhen Ran, Rui Peng, Qingwan Guo, Jinshuai Cui, Gang Chen and Ziying Wang
Pharmaceuticals 2024, 17(4), 512; https://doi.org/10.3390/ph17040512 - 16 Apr 2024
Viewed by 2349
Abstract
The incidence of depression has been steadily rising in recent years, making it one of the most prevalent mental illnesses. As the pursuit of novel antidepressant drugs captivates the pharmaceutical field, the therapeutic efficacy of Traditional Chinese Medicine (TCM) has been widely explored. [...] Read more.
The incidence of depression has been steadily rising in recent years, making it one of the most prevalent mental illnesses. As the pursuit of novel antidepressant drugs captivates the pharmaceutical field, the therapeutic efficacy of Traditional Chinese Medicine (TCM) has been widely explored. Chaihu (Bupleurum) has been traditionally used for liver conditions such as hepatitis, liver inflammation, liver fibrosis, and liver cancer. It is believed to have hepatoprotective effects, promoting liver cell regeneration and protecting against liver damage. In addition, Bupleurum has also been used as a Jie Yu (depression-relieving) medicine in China, Japan, Republic of Korea, and other Asian countries for centuries. This review article aims to summarize the research conducted on the antidepressant properties and mechanisms of Bupleurum, as well as discuss the potential of TCM formulas containing Bupleurum. This review highlights various antidepressant ingredients isolated from Bupleurum, including saikosaponin A, saikosaponin D, rutin, puerarin, and quercetin, each with distinct mechanisms of action. Additionally, Chinese herb prescriptions and extracts containing Bupleurum, such as Chaihu Shugansan, Xiaoyaosan, and Sinisan, are also included due to their demonstrated antidepressant effects. This review reveals that these Bupleurum compounds exhibit antidepressant effects through the regulation of neurotransmitter mechanisms (such as 5-HT and DA), the NMDA (N-methyl-D-aspartate) system, brain-derived neurotrophic factor (BDNF), and other intracellular signaling pathways. Collectively, this comprehensive review provides insights into the multiple applications of Bupleurum in the treatment of depression and highlights its potential as an alternative or complementary approach to traditional therapies. However, it is essential to consider the potential adverse effects and clinical restrictions of Bupleurum despite its promising potential. Further research is needed to elucidate its specific mechanisms of action and evaluate its effectiveness in human subjects. Full article
(This article belongs to the Special Issue The Mode of Action of Herbal Medicines and Natural Products)
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Graphical abstract

Graphical abstract
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<p>Schematic image of pathological underpinnings of depression (by Figdraw).</p>
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<p>Schematic illustration of the role of the intestinal flora in gut–brain axis.</p>
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<p>The multiple cellular targets of pharmacological components and related formulations of <span class="html-italic">bupleurum</span> with antidepressive effects.</p>
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<p>Graphical abstract of Chai Hu.</p>
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