{"title":"Multi-pathway targeting by natural products in chronic respiratory diseases: Opportunities, challenges, and future perspectives","authors":"Siqi Lin, Lili Li, Shiqing Zhuo, Liang Yu, Yu Huang, Xiaofei Chen, Huihui Ti","doi":"10.1016/j.chmed.2026.05.003","DOIUrl":null,"url":null,"abstract":"<div><div>Chronic respiratory diseases (CRDs) are multifactorial disorders driven by dysregulated inflammation, oxidative stress, and tissue remodeling. Conventional single-target therapies are insufficient to halt disease progression, underscoring the demand for alternative therapeutic approaches. Natural products, including bioactive compounds, herbal extracts, and traditional Chinese medicine (TCM) formulas, are characterized by their inherent multi-target properties and represent a promising intervention strategy for CRDs. This perspective emphasizes natural products as network modulators that can simultaneously regulate multiple signaling pathways. The integration of systems biology, network pharmacology, and artificial intelligence (AI) is crucial for deciphering their polypharmacological mechanisms. The clinical translation of natural products is anticipated to benefit from the implementation of several key strategies, including multi-omics integration, AI, targeted delivery, and blockchain-based quality control. By shifting from a reductionist to a network-centric view, natural products can fulfill their potential as next-generation therapeutics for CRDs.</div></div>","PeriodicalId":9916,"journal":{"name":"Chinese Herbal Medicines","volume":"18 3","pages":"Pages 638-642"},"PeriodicalIF":11.2000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13389992/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Herbal Medicines","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674638426000559","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Chronic respiratory diseases (CRDs) are multifactorial disorders driven by dysregulated inflammation, oxidative stress, and tissue remodeling. Conventional single-target therapies are insufficient to halt disease progression, underscoring the demand for alternative therapeutic approaches. Natural products, including bioactive compounds, herbal extracts, and traditional Chinese medicine (TCM) formulas, are characterized by their inherent multi-target properties and represent a promising intervention strategy for CRDs. This perspective emphasizes natural products as network modulators that can simultaneously regulate multiple signaling pathways. The integration of systems biology, network pharmacology, and artificial intelligence (AI) is crucial for deciphering their polypharmacological mechanisms. The clinical translation of natural products is anticipated to benefit from the implementation of several key strategies, including multi-omics integration, AI, targeted delivery, and blockchain-based quality control. By shifting from a reductionist to a network-centric view, natural products can fulfill their potential as next-generation therapeutics for CRDs.
期刊介绍:
Chinese Herbal Medicines is intended to disseminate the latest developments and research progress in traditional and herbal medical sciences to researchers, practitioners, academics and administrators worldwide in the field of traditional and herbal medicines. The journal's international coverage ensures that research and progress from all regions of the world are widely included.
CHM is a core journal of Chinese science and technology. The journal entered into the ESCI database in 2017, and then was included in PMC, Scopus and other important international search systems. In 2019, CHM was successfully selected for the “China Science and Technology Journal Excellence Action Plan” project, which has markedly improved its international influence and industry popularity. CHM obtained the first impact factor of 3.8 in Journal Citation Reports (JCR) in 2023.