ArticlePhytotherapy research : PTR2026
Transcriptome Inference and Systematic Approaches to Investigate TCM Compounds With Beneficial Metabolic Effects.
Article in Phytotherapy research : PTR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Obesity is a major risk factor for type 2 diabetes. Some traditional Chinese medicine (TCM) compounds can improve obesity by increasing energy consumption. This study aimed to identify and verify TCM compounds that promote adipose thermogenesis to alleviate obesity via transcriptomic analysis, molecular docking, network pharmacology, and Connectivity Map (CMap) analysis. Thirty-six TCMs related to adipose tissue thermogenesis were first collected to generate transcriptomic data. Then a ranking method based on integrated transcriptomic data was used to select emodin from the TCM Da Huang for network pharmacology to explore its potential mechanisms and further experimental validation. CMap analysis of thermogenesis signature genes from ProFAT and GEO datasets identified triptolide as another compound for improving obesity through enhanced thermogenesis. In vitro experiments with 3T3-L1 cells and in vivo experiments with zebrafish were conducted. The results showed that both emodin and triptolide could upregulate the NAD
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