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欧加佳对自发性高血压大鼠降压作用的血清代谢组学研究

Serum Metabonomic Research of the Anti-Hypertensive Effects of Ogaja on Spontaneously Hypertensive Rats.

作者信息

Yoon Dahye, Choi Bo-Ram, Lee Young-Seob, Han Kyung-Sook, Kim Donghwi, Lee Dae Young

机构信息

Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea.

出版信息

Metabolites. 2020 Oct 12;10(10):404. doi: 10.3390/metabo10100404.

DOI:10.3390/metabo10100404
PMID:33053871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7601199/
Abstract

Our previous studies have shown that Ogaja has an important role in decreasing blood pressure, but its biochemical change characteristic has not been clarified completely at the metabolic level. Therefore, in this study, a combination method of nuclear magnetic resonance (NMR) spectroscopy-based metabonomics and multivariate statistical analyses was employed to explore the metabolic changes of serum samples from spontaneously hypertensive rats treated with Ogaja extracts. In the results of multivariate statistical analysis, the spontaneously hypertensive rat (SHR) groups treated with Ogaja were separated from the SHR group. The group of SHR treated with 200 mg/kg Ogaja was clustered with the positive control (captopril) group, and the 400 and 600 mg/kg Ogaja treatment SHR groups were clustered together. Quantified metabolites were statistically analyzed to find the metabolites showing the effects of Ogaja. Succinate and betaine had variable importance in projection (VIP) scores over 2.0. Succinate, which is related to renin release, and betaine, which is related to lowering blood pressure, increased dose-dependently.

摘要

我们之前的研究表明,奥加茶在降低血压方面具有重要作用,但其在代谢水平上的生化变化特征尚未完全阐明。因此,在本研究中,采用基于核磁共振(NMR)光谱的代谢组学与多元统计分析相结合的方法,探讨奥加茶提取物处理的自发性高血压大鼠血清样本的代谢变化。在多元统计分析结果中,用奥加茶处理的自发性高血压大鼠(SHR)组与SHR组分离。用200mg/kg奥加茶处理的SHR组与阳性对照(卡托普利)组聚类,400和600mg/kg奥加茶处理的SHR组聚类在一起。对定量代谢物进行统计分析,以找出显示奥加茶作用的代谢物。琥珀酸和甜菜碱的投影变量重要性(VIP)得分超过2.0。与肾素释放相关的琥珀酸和与降低血压相关的甜菜碱呈剂量依赖性增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/c1b2ffac7a94/metabolites-10-00404-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/6d8c6f03d071/metabolites-10-00404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/d71e6f1d00f6/metabolites-10-00404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/d8aae1b75e83/metabolites-10-00404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/78068c632634/metabolites-10-00404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/c02b4dd3b635/metabolites-10-00404-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/c1b2ffac7a94/metabolites-10-00404-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/6d8c6f03d071/metabolites-10-00404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/d71e6f1d00f6/metabolites-10-00404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/d8aae1b75e83/metabolites-10-00404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/78068c632634/metabolites-10-00404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/c02b4dd3b635/metabolites-10-00404-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c8/7601199/c1b2ffac7a94/metabolites-10-00404-g006.jpg

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