Zheng Xiang

Zheng Xiang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 August 2016 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
HSHao Sun
Hao Sun
GLGuangwen Luo
Guangwen Luo
DCDahui Chen
Dahui Chen
ZXZheng Xiang
Zheng Xiang
Rhein is a major medicinal ingredient isolated from several traditional Chinese medicines, including Rheum palmatum L., Aloe barbadensis Miller, Cassia angustifolia Vahl., and Polygonum multiflorum Thunb. Rhein has various pharmacological activities, such as anti-inflammatory, antitumor, antioxidant, antifibrosis, hepatoprotective, and nephroprotective activities. Although more than 100 articles in PubMed are involved in the pharmacological mechanism of action of rhein, only a few focus on the relationship of crosstalk among multiple pharmacological mechanisms. The mechanism of rhein involves multiple pathways which contain close interactions. From the overall perspective, the pathways which are related to the targets of rhein, are initiated by the membrane receptor. Then, MAPK and PI3K-AKT parallel signaling pathways are activated, and several downstream pathways are affected, thereby eventually regulating cell cycle and apoptosis. The therapeutic effect of rhein, as a multitarget molecule, is the synergistic and comprehensive result of the involvement of multiple pathways rather than the blocking or activation of a single signaling pathway. We review the pharmacological mechanisms of action of rhein by consulting literature published in the last 100 years in PubMed. We then summarize these pharmacological mechanisms from a comprehensive, interactive, and crosstalk perspective. In general, the molecular mechanism of action of drug must be understood from a systematic and holistic perspective, which can provide a theoretical basis for precise treatment and rational drug use.

5 March 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SSShao-Hua Shi
Shao-Hua Shi
YCYue-Piao Cai
Yue-Piao Cai
XCXiao-Jun Cai
Xiao-Jun Cai
XZXiao-Yong Zheng
Xiao-Yong Zheng
DCDong-Sheng Cao
Dong-Sheng Cao
ZXZheng Xiang
Zheng Xiang
Traditional Chinese medicine (TCM) has unique therapeutic effects for complex chronic diseases. However, for the lack of an effective systematic approach, the research progress on the effective substances and pharmacological mechanism of action has been very slow. In this paper, by incorporating network biology, bioinformatics and chemoinformatics methods, an integrated approach was proposed to systematically investigate and explain the pharmacological mechanism of action and effective substances of TCM. This approach includes the following main steps: First, based on the known drug targets, network biology was used to screen out putative drug targets; Second, the molecular docking method was used to calculate whether the molecules from TCM and drug targets related to chronic kidney diseases (CKD) interact or not; Third, according to the result of molecular docking, natural product-target network, main component-target network and compound-target network were constructed; Finally, through analysis of network characteristics and literature mining, potential effective multi-components and their synergistic mechanism were putatively identified and uncovered. Bu-shen-Huo-xue formula (BSHX) which was frequently used for treating CKD, was used as the case to demonstrate reliability of our proposed approach. The results show that BSHX has the therapeutic effect by using multi-channel network regulation, such as regulating the coagulation and fibrinolytic balance, and the expression of inflammatory factors, inhibiting abnormal ECM accumulation. Tanshinone IIA, rhein, curcumin, calycosin and quercetin may be potential effective ingredients of BSHX. This research shows that the integration approach can be an effective means for discovering active substances and revealing their pharmacological mechanisms of TCM.


21 January 2015 in Molecular BioSystems
Verified
Journal Article
Closed access
PDF file
ZXZheng Xiang
Zheng Xiang
HSHao Sun
Hao Sun
XCXiaojun Cai
Xiaojun Cai
DCDahui Chen
Dahui Chen
XZXiaoyong Zheng
Xiaoyong Zheng
The cooperative material basis of the multi-component and multi-target mechanism of action of Traditional Chinese Medicine (TCM) is difficult to elucidate because of the current lack of appropriate techniques and strategies. In this paper, we focus on rhubarb treatment of renal fibrosis. Molecular docking, metabolic pathway enrichment, and network pharmacology methods were used to theoretically determine the interaction between the components of the rhubarb and disease targets related to renal fibrosis. Moreover, the methods of metabolomics, serum pharmacochemistry, histopathology and immunohistochemistry were used for the model group, the sham-operated group and the rhubarb administration group to reveal the active components and mechanisms of rhubarb. Finally, the experimental and theoretical results were integrated and comprehensively analyzed. Results indicated that anthraquinones and flavanols, such as rhein, emodin, catechin, and epicatechin, were the main active components of rhubarb. These active components play synergistic therapeutic efficacies through regulating the abnormal accumulation of the extracellular matrix, controlling the release of inflammatory factors and maintaining the balance of coagulation and fibrinolysis. Our study showed that the integration of metabolomics and network pharmacology is a powerful strategy for discovering active components of TCMs and for elucidating their mechanisms.

12 July 2022 in Journal of Ethnopharmacology
Verified
Journal Article
Closed access
XYXinwei Yu
Xinwei Yu
QXQiming Xiao
Qiming Xiao
XYXixi Yu
Xixi Yu
YCYu Cheng
Yu Cheng
HLHao Lin
Hao Lin
ZXZheng Xiang
Zheng Xiang

17 July 2017 in Archives of Toxicology
Verified
Journal Article
Closed access
PDF file
GLGuangwen Luo
Guangwen Luo
YSYiting Shen
Yiting Shen
LYLizhu Yang
Lizhu Yang
ALAiping Lu
Aiping Lu
ZXZheng Xiang
Zheng Xiang