Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Ginseng-Schisandra Chinensis decoction against asthma.

 0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: Hui Li, Qingqing Li, Wei Wu, Kaiyue Zhang, Meng Zhang, Ting Zhou

Ngôn ngữ: eng

Ký hiệu phân loại: 011.09 General bibliographies of works published in specific historical periods

Thông tin xuất bản: Netherlands : Fitoterapia , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 90877

 BACKGROUND: Ginseng-Schisandra chinensis (GSC) decoction has shown good efficacy in the treatment of asthma (AS), but its t mechanism in the treatment of asthma is still not fully understood. PURPOSE: This study aims to elucidate the therapeutic mechanism of GSC for AS by identifying the active components of GSC. METHODS: The chemical composition of GSC was analyzed using UHPLC-MS/MS. The network pharmacology method combined with TCMSP and GeneCards database was used to identify potential targets and enriched pathways related to AS treatment. Use AutoDock for molecular docking to evaluate the binding affinity of active ingredients to core targets. Finally, the LPS-induced A549 cell inflammation model was used to evaluate the effect of GSC on the release of inflammatory cytokines. RESULTS: The main components in GSC, including ginsenosides (Rf, Rd, Rg2, Ro, Rg5, Rh1) and lignans (schisandrin A, B, schisandrol A, B, schisandrin ester A) were identified. Network analysis revealed 139 intersection targets and highlighted STAT3, TNF, EGFR, IL1B, and AKT1 as key targets, with the PI3K/AKT signaling pathway as the main pathway. Experimental results showed that GSC significantly reduced the levels of IL-1β, IL-6 and TNF-α in LPS-induced A549 cells (p <
  0.01), indicating its powerful anti-inflammatory effect. CONCLUSION: GSC plays a role in treating asthma by targeting STAT3, TNF, IL-1β and AKT1, regulating the PI3K/AKT signaling pathway and inhibiting the release of inflammatory cytokines. These findings provide a basis for the clinical application of GSC.
Tạo bộ sưu tập với mã QR

THƯ VIỆN - TRƯỜNG ĐẠI HỌC CÔNG NGHỆ TP.HCM

ĐT: (028) 36225755 | Email: tt.thuvien@hutech.edu.vn

Copyright @2024 THƯ VIỆN HUTECH