Literature DB >> 30849741

A novel insight into the underlying mechanism of Baihe Dihuang Tang improving the state of psychological suboptimal health subjects obtained from plasma metabolic profiles and network analysis.

Jun-Sheng Tian1, Yan Meng2, Yan-Fei Wu3, Lei Zhao2, Huan Xiang4, Jin-Ping Jia5, Xue-Mei Qin6.   

Abstract

Psychological suboptimal health state (PSHS), a subtype of suboptimal health status (SHS), seriously threatens the physical and mental health of human beings. Baihe Dihuang Tang (BDT), a traditional Chinese medicine prescription, has been used to improve PSHS in clinical and achieve significant efficacy for a long time. Exploring of the underlying mechanism of BDT improving the state of PSHS is of significant importance. In the present work, all subjects were screened in strict accordance with inclusion and exclusion criteria. the UHPLC-Q Exactive Orbitrap-MS and Trace GC-PolarisQ Mass were performed to analyze the metabolic features of BDT improving the state of PSHS. Combined with the experimental results of metabolomics and the predicted results of network pharmacology, the metabolic biological network was constructed to find the potential targets of BDT intervention on PSHS. Finally, A total of 22 differential metabolites have been identified in PSHS group. 15 plasma biomarkers were significantly regulated by BDT. The results indicated that the BDT decoction is of a significant therapeutic effect on the improvement of PSHS primarily through regulating pyruvate metabolism and phenylalanine metabolism. Moreover, it is possible for BDT to improve PSHS through the functional targets including GLO1, MAOA and MAOB, which are closely related to monoamine neurotransmitters. Here, these approaches provide a tractable, powerful tool for understanding the underlying mechanism elucidating of BDT for PSHS management.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Baihe Dihuang Tang; Metabolomics; Network analysis; Psychological suboptimal health state; Traditional Chinese medicine

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Year:  2019        PMID: 30849741     DOI: 10.1016/j.jpba.2019.02.041

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


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