湖南中医药大学学报2024，Vol.44Issue(8)：1459-1467,9.DOI:10.3969/j.issn.1674-070X.2024.08.015
基于复杂网络探究肺系疫病各阶段核心"症-药"关联及作用机制
Core"symptom-Chinese medicines"associations and their mechanisms of action at different stages of pulmonary epidemic diseases based on complex network analysis
摘要
Abstract
Objective To explore the inherent connections between symptoms and Chinese medicines at different stages of pulmonary epidemic diseases(PED)by integrating the clinical manifestations of PED at various stages with compound formulas of Chinese medicines and utilizing omics big data resources of modern life science,aiming to provide a data basis for elucidating the mechanisms of action of TCM in treating PED.Methods The nonspecific symptom characteristics of PED were defined clearly,and the ancient epidemic literature,catalogues of Chinese patent medicines,and TCM diagnostic and therapeutic protocols for corona virus disease 2019(COVID-19)were systematically sorted out,through which,a large dataset containing symptoms,Chinese medicines,and formulas for different stages of PED was constructed.The PageRank algorithm was used to identify the"core symptom clusters"and"core clusters of Chinese medicines"in three different stages of PED:acute stages(mild and severe)and recovery stage.The random walk algorithm was then employed to further explore the interrelationships between the core"symptom-Chinese medicines"pairs.Results Among the 822 formulas included(287 for mild stage,403 for severe stage,and 132 for recovery stage),the identified core symptom clusters were highly consistent with the actual clinical manifestations of PED at each stage.The core clusters of Chinese medicines for mild stage focused mainly on relieving exterior pattern and clearing heat,while for severe stage,dampness-eliminating and phlegm-transforming medicines were added to this basis.During the recovery stage,the core clusters of Chinese medicines were focused on tonifying qi and nourishing yin.The enrichment analysis further revealed that the core Chinese medicines for the acute stage mainly involved the regulation of the Janus kinase/signal transducer and activator of transcription(JAK-STAT)and nuclear factor-κB(NF-κB)signaling pathways,while those for the recovery stage primarily affected the fibroblast proliferation-related pathways.Conclusion The core clusters of Chinese medicines corresponding to the core symptom clusters may intervene and treat PED by regulating key transcription factors.关键词
核心症状群/肺系疫病/核心中药群/复杂网路/随机游走算法Key words
core symptom clusters/pulmonary epidemic diseases/core clusters of Chinese medicines/complex network/random walk algorithm分类
医药卫生引用本文复制引用
邓文欣,董斐,刘流,赵屹..基于复杂网络探究肺系疫病各阶段核心"症-药"关联及作用机制[J].湖南中医药大学学报,2024,44(8):1459-1467,9.基金项目
科技基础资源调查专项资助(2022FY102000,2022FY102005) （2022FY102000,2022FY102005）
国家中医药管理局高水平中医药重点学科建设项目(zyyzdxk-2023264) （zyyzdxk-2023264）
国家中医药管理局中医药创新团队及人才支持计划项目(ZYYCXTD-C-202006). （ZYYCXTD-C-202006）
