TMT quantitative proteomics and network pharmacology reveal the mechanism by which asiaticoside regulates the JAK2/STAT3 signaling pathway to inhibit peritoneal fibrosis. (12th June 2023)

• Record Type: Journal Article
• Authors: Sun, Jinyi; Tang, Lei; Shan, Yun; Yu, Manshu; Sheng, Li; Huang, Liyan; Cao, Huimin; Dai, Huibo; Wang, Funing; Zhao, Juan; Sheng, Meixiao
• Is Part Of: Journal of ethnopharmacology. Volume 309(2023)
• Publication Date: 2023-06-12
• Subjects: Asiaticoside -- Mesothelial-mesenchymal transition -- Peritoneal mesothelial cells -- JAK2/STAT3 signaling pathway -- Proteomics -- Network pharmacology; Ethnopharmacology -- Periodicals; Pharmacognosy -- Periodicals; Herbs -- Periodicals; Herbs -- Periodicals; Pharmacognosy -- Periodicals; Pharmacognosie -- Périodiques; Herbes -- Périodiques; 615.1
• DOI: 10.1016/j.jep.2023.116343
• Languages: English
• ISSNs: 0378-8741

Abstract

Abstract: Ethnopharmacological relevance: Traditional Chinese medicine, Centella asiatica (L.) Urb., has been extensively utilized in clinics to treat a variety of fibrotic disorders. Asiaticoside (ASI), as an important active ingredient, has attracted much attention in this field. However, the effect of ASI on peritoneal fibrosis (PF) is still unclear. Therefore, we evaluated the benefits of ASI for PF and mesothelial-mesenchymal transition (MMT) and revealed the underlying mechanisms. Aim of study: The objective of this investigation was to anticipate the potential molecular mechanism of ASI against peritoneal mesothelial cells (PMCs) MMT employing proteomics and network pharmacology, and to confirm it using in vivo and in vitro studies. Materials and methods: The mesentery of peritoneal fibrosis mice and normal mice were analyzed quantitatively for proteins that were differentially expressed using a technique tandem mass tag (TMT). Next, the core target genes of ASI against PF were screened through network pharmacology analysis, and PPI and C–P‒T networks were constructed by Cytoscape Version 3.7.2. According to the findings of a GO and KEGG enrichment analysis of differential proteins and core target genes, the signaling pathway with a high correlation degree was selected as the key signaling pathway of ASI inhibiting the PMCs MMT for further molecular docking analysis and experimental verification. Results: TMT-based quantitative proteome analysis revealed the identification of 5727 proteins, of which 70 were downregulated and 178 were upregulated. Among them, the levels of STAT1, STAT2, and STAT3 in the mesentery of mice with peritoneal fibrosis were considerably lower than in the control group, indicating a role for the STAT family in the pathogenesis of peritoneal fibrosis. Then, a total of 98 ASI-PF-related targets were identified by network pharmacology analysis. JAK2 is one of the top 10 core target genes representing a potential therapeutic target. JAK/STAT signaling may represent a core pathway mediating PF effects by ASI. Molecular docking studies showed that ASI had the potential to interact favorably with target genes involved in the JAK/STAT signaling pathway, such as JAK2 and STAT3. The experimental results showed that ASI could significantly alleviate Chlorhexidine Gluconate (CG)-induced peritoneal histopathological changes and increase JAK2 and STAT3 phosphorylation levels. In TGF-β1-stimulated HMrSV5 cells, E-cadherin expression levels were dramatically reduced whereas Vimentin, p-JAK2, α-SMA, and p-STAT3 expression levels were considerably increased. ASI inhibited the TGF-β1-induced HMrSV5 cell MMT, decreased the activation of JAK2/STAT3 signaling, and increased the nuclear translocation of p-STAT3, which was consistent with the effect of the JAK2/STAT3 pathway inhibitor AG490. Conclusion: ASI can inhibit PMCs MMT and alleviate PF by regulating the JAK2/STAT3 signaling pathway. Graphical abstract: Graphical Abstract for prediction and validation of the molecular mechanism of asiaticoside inhibiting PMCs MMT based on proteomics analysis, network pharmacology, molecular docking, and experiments. Image 1 Highlights: The top 50 differentially expressed genes in proteome analysis included STATs. 98 ASI-PF-related targets were identified by network pharmacology analysis. Experiments showed that ASI could significantly ameliorate PF in vivo and in vitro. The mechanism of ASI against PF may be related to Jak2/Stat3 pathway.