Deciphering Molecular Mechanisms of Maxing Shigan Tang Against Pneumonia Based on Transcriptomic and Structural Data
10.13422/j.cnki.syfjx.20250219
- VernacularTitle:基于中药转录谱和结构数据揭示麻杏石甘汤治疗肺炎的分子机制
- Author:
Yingdong WANG
1
;
Haoyang PENG
1
;
Aoyi WANG
1
;
Wuxia ZHANG
1
;
Chen BAI
2
;
Peng LI
1
Author Information
1. Shanxi Key Laboratory for Modernization of Traditional Chinese Veterinary Medicine， College of Basic Sciences， Shanxi Agricultural University， Jinzhong 030801， China
2. School of Traditional Chinese Medicine， Beijing University of Chinese Medicine， Beijing 100029， China
- Publication Type:Journal Article
- Keywords:
Maxing Shigan Tang;
pneumonia;
targets;
transcriptome;
network pharmacology
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2025;31(21):215-222
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveMaxing Shigan Tang， as a traditional prescription for treating pneumonia， has a remarkable clinical effect. This study aims to systematically investigate the molecular mechanisms of Maxing Shigan Tang in treating pneumonia by integrating its structural and transcriptomic data at the target level. MethodsNP-TCMtarget， a developed systematic network pharmacological model focusing on drug targets， was used to mine the effect targets of Maxing Shigan Tang for treating pneumonia based on the transcriptome data. The structural targets of chemical components in Maxing Shigan Tang were predicted based on the structural information. The intersection of effect targets and structural targets was taken as the direct targets of Maxing Shigan Tang for treating pneumonia， and the remaining effect targets except direct targets were taken as indirect targets. Finally， functional enrichment analysis was performed on these targets to explore the molecular mechanism of Maxing Shigan Tang in treating pneumonia. ResultsA total of 1 604 effect targets and 816 structural targets of Maxing Shigan Tang for treating pneumonia were identified. Maxing Shigan Tang exerted its therapeutic effects through 164 direct targets and 1 440 indirect targets. The functional analysis of 1 604 effect targets predicted 19 significantly enriched pathways. Comprehensive analysis of these pathways showed that these targets were mainly linked to immune and inflammatory responses， such as cytokine-cytokine receptor interaction， necrosis factor （NF）-κB signaling pathway， and helper T cell 17 differentiation. ConclusionFocusing on the hierarchical feature of drug targets and the structural and transcriptomic data， this study systematically reveals the path of herbal component-direct target-indirect target-biological effects of Maxing Shigan Tang in treating pneumonia.
