To Investigate the Clinical Efficacy and Potential Mechanism of Tongxinluo Capsules in Preventing Coronary Restenosis Based on Meta‐Analysis and Network Pharmacology Analysis

Abstract

Objective. The aim of this study is to evaluate the clinical efficacy of Tongxinluo capsules in preventing coronary restenosis based on meta-analysis and network pharmacology research methods and to preliminarily explore its intervention mechanism. Methods. First, through meta-analysis, we comprehensively searched databases such as CNKI, Wanfang, PubMed, the Cochrane Library, and Web of Science to find out the randomized controlled trials of Tongxinluo capsules in the treatment of coronary restenosis until February, 2022. According to the Cochrane Library, risk bias assessment tools were used to evaluate the included literature and Review Manager 5.2 software was used to conduct statistical analysis of the included studies. Then, based on network pharmacology, through TCMSP database and BATMAN-TCM database screening, the chemical components of Tongxinluo capsules and their related effects, symptom, and common targets were analyzed. String net was used to construct protein-protein interaction (PPI) network, and R3.6.1 software was used to carry out GO biological process enrichment analysis and KEGG signaling pathway enrichment analysis to clarify key pathways. Results. The meta-analysis finally included 10 RCTs with a total of 1318 subjects. Meta-analysis results showed that Tongxinluo capsules combined with conventional cardiovascular drugs could significantly improve the clinical efficacy of preventing in-stent restenosis and the clinical efficacy of preventing angina pectoris. There was no significant difference in the clinical efficacy of preventing myocardial infarction. Network pharmacology obtained a total of 101 chemical components and 149 targets through the online database. The results of network analysis showed that the targets were mainly involved in receptor ligand activity, carboxylic acid binding, steroid hormone receptor activity, and other related action pathways and were also involved in AGE-RAGE signaling pathway, cell senescence signaling pathway, and other related pathways. Conclusion. Tongxinluo capsules combined with conventional cardiovascular drugs can improve the clinical efficacy of preventing in-stent restenosis and angina pectoris and have a significant effect on reducing inflammatory factors. The comprehensive result of the effect is mainly through the participation of receptor ligand activity, carboxylic acid binding, steroid hormone receptor activity, and other ways to achieve the purpose of treating coronary restenosis.

Tongxinluo capsule in combination with conventional therapies for stable angina pectoris: A meta-analysis and systematic review

“…Their findings suggested that TXLC safely reduced cardiovascular events over a 6-month course. Wei et al [ 50 ] discovered that TXLC prevented coronary restenosis reduced angina pectoris and IL-6 levels when combined with secondary prevention strategies. Li et al [ 51 ] evaluated the efficacy and safety of TXLC for unstable angina and found that it reduced the incidence of MACE and alleviated angina symptoms.…”

Clinical effects and mechanisms of a Chinese patent medicine, Tongxinluo capsule, as an adjuvant treatment in coronary heart disease

“…In fact, most of the investigators have used network pharmacology to screen for key chemical components of TXL. For example, Wei and Jiang [ 10 ] used the TCMSP and BATMAN-TCM databases to screen 101 chemical components of TXL based on network pharmacology. Li's study [ 11 ] gathered 111 chemical components in TXL prescriptions from TCMSP and TCMID databases.…”

Study on the Mechanism of Opuntia Dillenii Polysaccharide against Cadmium-Induced Liver Injury Based on Network Pharmacology and Oxidative Stress Pathway

“…Network pharmacology is a research method that integrates network databases [17], and pharmacological knowledge to reveal the interactions between drugs or active compounds and targets in the human body [18]. It utilizes large-scale molecular interaction data and employs computational and systems biology approaches to predict and explore drug mechanisms [19], efficacy, and drug-target interaction networks [20].…”