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- Title
Integrated Metabolomics and Network Pharmacology Investigation of Cardioprotective Effects of Myricetin after 1-Week High-Intensity Exercise.
- Authors
Li, Tianyou; Wang, Le; Wu, Luting; Xie, Yingquan; Chang, Mengyun; Wang, Dawei; Yi, Long; Zhu, Xiaohui; Mi, Mantian
- Abstract
Cardiovascular adverse effects caused by high-intensity exercise (HIE) have become a public health problem of widespread concern. The therapeutic effect and metabolic regulation mechanism of myricetin, a phytochemical with potential therapeutic effects, have rarely been studied. In this study, we established mice models of different doses of myricetin intervention with 1 week of HIE after intervention. Cardiac function tests, serology, and pathological examinations were used to evaluate the protective effect of myricetin on the myocardium. The possible therapeutic targets of myricetin were obtained using an integrated analysis of metabolomics and network pharmacology and verified using molecular docking and RT-qPCR experiments. Different concentrations of myricetin improved cardiac function, significantly reduced the levels of myocardial injury markers, alleviated myocardial ultrastructural damage, reduced the area of ischemia/hypoxia, and increased the content of CX43. We obtained the potential targets and regulated metabolic network of myricetin by combined network pharmacology and metabolomics analysis and validated them by molecular docking and RT-qPCR. In conclusion, our findings suggest that myricetin exerts anti-cardiac injury effects of HIE through the downregulation of PTGS2 and MAOB and the upregulation of MAP2K1 and EGFR while regulating the complicated myocardial metabolic network.
- Subjects
ECHOCARDIOGRAPHY; STATISTICS; FLAVONOIDS; METABOLOMICS; ANIMAL experimentation; ONE-way analysis of variance; EXERCISE physiology; ELECTRON microscopy; T-test (Statistics); EXERCISE; EXERCISE intensity; RESEARCH funding; ENZYME-linked immunosorbent assay; DESCRIPTIVE statistics; PHARMACEUTICAL chemistry; COMPUTER-assisted molecular modeling; DATA analysis software; DATA analysis; MICE
- Publication
Nutrients, 2023, Vol 15, Issue 6, p1336
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15061336