2026-10-13T03:17:54Z https://www.scidb.cn/oai

10.57760/sciencedb.j00217.13899 2026-07-06T22:12:10Z

2026-07-06 Targeting the Lung-Gut Axis: Mechanisms of Traditional Chinese Medicine in Modulating Pulmonary Vascular Remodeling to Ameliorate COPD doi:10.57760/sciencedb.j00217.13899 en Pulmonary vascular remodeling is the central pathological driver of pulmonary hypertension and adverse prognosis in chronic obstructive pulmonary disease (COPD). Current clinical therapeutics, however, fail to adequately target the "lung-gut axis"—a critical biological hub in disease progression. From the perspective of Traditional Chinese Medicine (TCM), this review elucidates the multidimensional mechanisms by which lung-gut axis dysfunction drives vascular remodeling. Gut-derived metabolites, including short-chain fatty acids (SCFAs), secondary bile acids, and amino acid derivatives, propagate endothelial injury, phenotypic switching of pulmonary artery smooth muscle cells, and pathological extracellular matrix deposition through immune dysregulation and intertwined inflammatory-oxidative stress cascades. Furthermore, we synthesize TCM-based targeted intervention strategies aimed at restoring gut homeostasis, exploring TCM formulae and bioactive compounds through modulating microbial composition, elevating SCFA levels, and curtailing the translocation of trimethylamine N-oxide and lipopolysaccharides, which have been shown to suppress vascular inflammation, mitigate oxidative stress, and rebalance the protease-antiprotease axis, thereby ameliorating vascular remodeling. This synthesis identifies novel therapeutic targets for COPD-associated vascular complications and establishes a theoretical framework for TCM-based respiratory vascular interventions predicated on microbiota ecology modulation. Chronic obstructive pulmonary disease; Lung-gut axis; Pulmonary vasculature; Traditional Chinese Medicine; Inflammatory factors; Gut microbiota and metabolites Rui.LUO Jia.MU Shenhui.QUAN Xinlu.CHEN Mina.GAO Meng.LI Xiaoya.LI Bo.QIAO Jiali.YUAN Zhongshan.YANG Yueying.WU PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank