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- Title
Serum Metabolomics Study Based on LC-MS and Antihypertensive Effect of Uncaria on Spontaneously Hypertensive Rats.
- Authors
Liu, Ana; Chu, Yan-Jun; Wang, Xiaoming; Yu, Ruixue; Jiang, Haiqiang; Li, Yunlun; Zhou, Honglei; Gong, Li-Li; Yang, Wen-Qing; Ju, Jianqing
- Abstract
Our previous studies have shown that<italic> Uncaria</italic> has an important role in lowering blood pressure, but its intervention mechanism has not been clarified completely in the metabolic level. Therefore, in this study, a combination method of HPLC-TOF/MS-based metabolomics and multivariate statistical analyses was employed to explore the mechanism and evaluate the antihypertensive effect of<italic> Uncaria</italic>. Serum samples were analyzed and identified by HPLC-TOF/MS, while the acquired data was further processed by partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) to discover the perturbed metabolites. A clear cluster among the different groups was obtained, and 7 significantly changed potential biomarkers were screened out. These biomarkers were mainly associated with lipid metabolism (dihydroceramide, ceramide, PC, LysoPC, and TXA2) and vitamin and amino acids metabolism (nicotinamide riboside, 5-HTP). The result indicated that<italic> Uncaria</italic> could decrease the blood pressure effectively, partially by regulating the above biomarkers and metabolic pathways. Analyzing and verifying the specific biomarkers, further understanding of the therapeutic mechanism and antihypertensive effect of<italic> Uncaria</italic> was acquired. Metabolomics provided a new insight into estimate of the therapeutic effect and dissection of the potential mechanisms of traditional Chinese medicine (TCM) in treating hypertension.
- Subjects
UNCARIA tomentosa; ANIMAL experimentation; BIOMARKERS; ANTIHYPERTENSIVE agents; CHINESE medicine; RATS; RESEARCH funding; SERUM; DATA analysis software; DESCRIPTIVE statistics; METABOLOMICS; THERAPEUTICS
- Publication
Evidence-based Complementary & Alternative Medicine (eCAM), 2018, Vol 2018, p1
- ISSN
1741-427X
- Publication type
Article
- DOI
10.1155/2018/9281946