Main active constituent identification in Guanxinjing capsule, a traditional Chinese medicine, for the treatment of coronary heart disease complicated with depression

Yan-qiong ZHANG1, Qiu-yan GUO1, Qiu-yue LI1, Wei-qiong REN2, Shi-huan TANG1, Song-song WANG3, Ri-xin LIANG1, De-feng LI1, Yi ZHANG1, Hai-yu XU1, Hong-jun YANG1
1 Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
2 The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha 410007, China
3 State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China
Correspondence to: Hai-yu XU:,
DOI: doi: 10.1038/aps.2017.117
Received: 15 March 2017
Accepted: 19 May 2017
Advance online: 31 August 2017


Guanxinjing capsules (GXJCs) are used in traditional Chinese medicine as a common therapy for coronary heart disease (CHD) complicated with depression. In this study, we aimed to identify the main active constituents in GXJCs and to investigate the mechanisms of GXJC action on CHD complicated with depression. The chemical constituent profile of the GXJC was identified by UHPLC-LTQ-Orbitrap assay, and oral bioavailability was evaluated to screen the GXJC drug-like chemical constituents. A total of 16 GXJC drug-like chemical constituents were identified. Then, putative targets of the GXJC drug-like chemical constituents were predicted using MedChem Studio, with 870 genes found to be the putative targets of these molecules. After that, a GXJC putative target-known CHD/depression therapeutic target network was constructed, and four topological features, including degree, betweenness, closeness and K-coreness, were calculated. According to the topological feature values of the GXJC putative targets, 14 main active constituents were identified because their corresponding putative targets had topological importance in the GXJC putative target-known CHD/ depression therapeutic target network, which were defined as the candidate targets of GXJC against CHD complicated with depression. Functionally, these candidate targets were significantly involved in several CHD/depression-related pathways, including repairing pathological vascular changes, reducing platelet aggregation and inflammation, and affecting patient depression. This study identified a list of main active constituents of GXJC acting on CHD complicated with depression using an integrative pharmacology-based approach that combined active chemical constituent identification, drug target prediction and network analysis. This method may offer an efficient way to understand the pharmacological mechanisms of traditional Chinese medicine prescriptions.
Keywords: traditional Chinese medicine; Guanxinjing capsule; coronary heart disease; depression; integrative pharmacology; in silico ADME prediction; target prediction; network analysis

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