Data Sheet 1_Multifaceted mechanistic exploration of Geranium wilfordii Maxim. in asthma treatment: integrating network pharmacology, machine learning, Mendelian randomization and experimental validation.docx

BackgroundAsthma, a chronic inflammatory respiratory disease with significant global health burden, faces limitations in current therapies, necessitating novel therapeutic strategies. The plant Geranium wilfordii Maxim. (GWM), a traditional Chinese herbal medicine with diverse pharmacological activities and clinical applications, has been traditionally used in the treatment of rheumatism, numbness, infectious diseases, dermatosis, tumors and other disease by the Bai, Miao, Yi minority people of Southwest China for generations. Earlier research in our lab also demonstrated that GWM exhibits anti-asthmatic activity, but the mechanism of action remains unclear.
AimTo investigate the anti-asthmatic mechanisms of GWM by identifying compounds and elucidating key molecular targets involved in immune cell regulation through integrated computational and experimental approaches.
MethodsWe employed UPLC-QE-Orbitrap-MS to identify active compounds. Network pharmacology and machine learning analyses were conducted to identify key hub genes, followed by validation through Mendelian randomization analysis, molecular docking, and animal models. Immune infiltration and single-cell RNA sequencing analyses using publicly available Gene Expression Omnibus (GEO) datasets, combined with mediation Mendelian randomization (MR), were performed to elucidate the underlying cellular mechanisms.
ResultsA total of 43 compounds were identified in GWM. Network pharmacology and machine learning prioritized NOTCH2, HDAC2, and MAPK1 as hub targets, validated using MR and molecular docking. Subsequent in vivo experiments validated the regulatory effects of GWM on the expression levels of these hub genes and demonstrated its therapeutic efficacy in asthma. Further analysis showed that GWM regulation of these hub genes may subsequently affect the activity of CD4+ T cells and regulatory T cells, potentially contributing to its therapeutic effects against asthma.
ConclusionThis study provides novel evidence for the potential therapeutic activity of GWM in asthma. By targeting key hub genes such as NOTCH2, HDAC2, and MAPK1, GWM may modulate immune cell activity, thereby contributing to its anti-asthmatic effects.