结合动物实验、生物信息学和分子动力学刺激探索松阳端乌茶改善代谢综合征的潜在机制。

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Suhong Chen, Chengliang Zhou, Huiying Wang, Simei Dong, Zhiyuan Li, Chuanjie Zhou, Wanqi Chen, Zhihao Ge, Xinglishang He, Bo Li, Jianping Wang, Luwei Xiao, Guiyuan Lv, Shuhua Shen
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引用次数: 0

摘要

背景:代谢综合征(MetS)是以多种危险因素积累为特征的代谢性疾病,包括肥胖、血脂异常、高血压等。松阳端武茶(SYT)具有很高的营养保健价值,在中药减肥中被广泛使用。然而,SYT改善MetS的机制仍有待阐明。本研究从动物实验和生物信息学的角度探讨SYT改善MetS的分子靶点和可能的机制。方法:采用高脂、高糖、高盐饮食法建立小鼠met模型。通过对MetS模型小鼠的肥胖、血脂异常、高血压、高尿酸血症和非酒精性脂肪性肝病(NAFLD)进行评价,评价SYT对MetS治疗效果的影响。采用生物信息学方法对SYT中的活性成分进行鉴定,并采用HPLC-QTOF-MS方法对其进行鉴定。利用生物信息学预测并验证了可能的分子靶点和作用机制。结果:SYT (1.2 g/kg)可改善hfssd诱导小鼠的肥胖、血脂异常、高血压、高尿酸血症和NAFLD。生物信息学结果表明,SYT的主要生物活性成分包括黄酮类成分芹菜素、山奈酚、木犀草素和槲皮素,以及多酚类成分丁香酚。HPLC-QTOF-MS进一步验证了芹菜素、山奈酚、木犀草素和槲皮素的存在。这4种生物活性成分参与SYT通过调节代谢和减轻炎症来改善MetS,其关键靶点包括过氧化物酶体增殖物激活受体γ (PPARG)、肿瘤坏死因子α (TNFα)、白细胞介素1 β (IL1B)和白细胞介素6 (IL6)。结论:SYT能有效改善HFSSD诱导的MetS模型小鼠。其潜在机制可能是通过芹菜素、山奈酚、木犀草素和槲皮素4种类黄酮成分调节PPARG,减轻炎症靶点TNFα、IL1B和IL6。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Animal Experiments, Bioinformatics and Molecular Dynamics Stimulations to Explore the Potential Mechanism of Songyang Duanwu Tea Improving Metabolic Syndrome.

Background: Metabolic syndrome (MetS) is a metabolic disorder characterized by the accumulation of various risk factors, including obesity, dyslipidemia, hypertension and so on. Songyang Duanwu Tea (SYT) has a high value in nutrition and health care, and it is widely used in traditional Chinese medicine for weight loss. Nevertheless, the mechanisms of SYT improving MetS remain to be elucidated. The objective of this study was to investigate the molecular targets and potential mechanisms by which SYT may improve MetS based on animal experiments and bioinformatics.

Methods: MetS model mice were established by a high-fat, high-sugar, high-salt diet (HFSSD). Obesity, dyslipidemia, hypertension, hyperuricemia and non-alcoholic fatty liver disease (NAFLD) of MetS model mice were evaluated to assess the effect of SYT on the treatment effects of MetS. The bioactive components in SYT were identified by bioinformatics and verified by HPLC-QTOF-MS. The possible molecular targets and mechanisms of action were predicted and verified using bioinformatics.

Results: SYT (1.2 g/kg) ameliorated obesity, dyslipidemia, hypertension, hyperuricemia and NAFLD in HFSSD-induced mice. Bioinformatics results suggested that the major bioactive components in SYT include the flavonoid components apigenin, kaempferol, luteolin and quercetin, and the polyphenolic component eugenol. HPLC-QTOF-MS further validated the presence of apigenin, kaempferol, luteolin and quercetin. These 4 bioactive components are involved in the regulation of SYT to improve MetS by regulating metabolism and attenuating inflammation, and the key targets include peroxisome proliferator-activated receptor gamma (PPARG), tumor necrosis factor alpha (TNFα), interleukin 1beta (IL1B) and interleukin 6 (IL6).

Conclusion: SYT effectively improved the MetS model mice induced by HFSSD. The potential mechanism may regulate PPARG and attenuate inflammatory targets: TNFα, IL1B and IL6 through 4 flavonoid components: apigenin, kaempferol, luteolin and quercetin.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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