1. 1 H NMR serum metabolomics and its endogenous network pharmacological analysis of Gushudan on kidney-yang-deficiency-syndrome rats.
- Author
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Feng Q, Tong L, Lu Q, Liu S, Zhao L, and Xiong Z
- Subjects
- Animals, Drugs, Chinese Herbal metabolism, Drugs, Chinese Herbal pharmacokinetics, Kidney Diseases blood, Kidney Diseases diagnosis, Male, Proton Magnetic Resonance Spectroscopy, Rats, Rats, Sprague-Dawley, Yang Deficiency blood, Yang Deficiency diagnosis, Drugs, Chinese Herbal analysis, Kidney Diseases metabolism, Metabolomics, Network Pharmacology, Yang Deficiency metabolism
- Abstract
The pharmacodynamics,
1 H NMR metabolomics and endogenous network pharmacology strategy approaches were integrated to investigate the preventive mechanism of Gushudan (GSD) on kidney-yang-deficiency-syndrome (KYDS) rats in this study. Firstly, the KYDS rat model was achieved by hydrocortisone induction, and the efficacy of GSD on KYDS model rats was assessed by the pharmacodynamic indicators. Next, the comprehensive untargeted serum metabolic profile of rats was obtained in1 H NMR metabolomics study, 29 potential biomarkers closely associated with KYDS were identified, which were mainly involved in carbohydrate metabolism, amino acid metabolism and intestinal flora metabolism. In addition, the potential biomarkers-targets-pathways-disease metabolic network was further investigated for deeper understanding the preventive effects of GSD on KYDS rats and its mechanism, which was further obtained for the important targets related to biomarkers and diseases such as NOS3, PTGS2 and CXCL8, and important metabolic pathways such as glyoxylate and dicarboxylate metabolism, arginine and proline metabolism, and microbial metabolism in diverse environments. Finally, compared with our previous anti-osteoporosis study of GSD, it suggested that some similar metabolic pathways, which would provide some scientific reference of the existence of the kidney-bone axis under the traditional Chinese medicine (TCM) theory of "kidney dominates bone"., (Copyright © 2022 Elsevier Inc. All rights reserved.)- Published
- 2022
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