ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Diabetes: Molecular Mechanisms
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1648831
This article is part of the Research TopicHerbal Medicine for the Treatment of Chronic Metabolic Diseases, Volume IIView all 37 articles
Mechanistic Insights Into Modified Danggui Buxue Decoction for Diabetic Retinopathy via Integrative Analysis
Provisionally accepted- 1Center of integrated chinese and western medicine, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361003, Fujian, China;, Xiamen, Fujian, China
- 2Jinan University, Guangzhou, China
- 3The Chinese University of Hong Kong, Hong Kong, Hong Kong, SAR China
- 4Affiliated Dongguan People's Hospital, Southern Medical University, Dongguan, China, Dongguan, China
- 5The Third Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China, Guangzhou, China
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Objective: This study explores the therapeutic potential and mechanisms of Modified Danggui Buxue Decoction (MDBD) in diabetic retinopathy (DR) using network pharmacology, bioinformatics, machine learning, Mendelian randomization (MR), molecular docking, and in vitro experiments. Methods: A network pharmacology was constructed in order to screen core components and targets. Analysis of samples from the GEO database was performed for target and immune cell analysis, resulting in the identification of significantly differentially expressed core genes (SDECGs). A machine learning model was utilized to screen feature genes and construct nomogram. Preliminary validation was carried out using molecular docking, another GEO dataset, and MR. Subsequently, samples were clustered based on SDECGs expression and consensus clustering, followed by an analysis between clusters. SDECGs expression was scored and differences between clusters were analyzed. Finally, in vitro experiments were conducted on MMCs to assess the effects of beta-sitosterol, the primary active component of MDBD, and siRNA on DR-related biomarkers using CCK-8 assays, ELISA, western blotting and RT-qPCR. Results: This study identified the core components of MDBD, including quercetin, stigmasterol, beta-sitosterol, kaempferol, and 14 differentially expressed SDECGs between DR and control groups, with both positive and negative immune cell regulatory effects. Five feature genes (CCND1, ERBB2, INSR, TP53, SERPINE1) were identified and used to construct a predictive model. MR analysis revealed a causal link between elevated ERBB2 levels and increased DR risk (Odds Ratio [OR]=1.860, 95% CI: 1.247-2.774, P=0.002) using the weighted median method. Beta-sitosterol displayed high binding affinity with CCND1, ERBB2, INSR, and SERPINE1. Cluster analysis categorized DR samples into four groups, with C1 showing low and C2 high SDECG expression and immune cell upregulation. Significant differences in SDECGs and DEGs scores were observed between C1 and C2. In vitro, ERBB2 expression was significantly elevated in DR cell model. Beta-sitosterol inhibited ERBB2 protein and mRNA expression and reduced IL-1β, VEGF, and ANGPTL6 secretion. ERBB2 inhibition also reduced these biomarkers. Conclusion: MDBD treats DR by targeting SDECGs, modulating immune responses, and reducing inflammation. Beta-sitosterol and ERBB2 inhibition showed significant therapeutic effects, offering valuable insights for clinical application and future research directions.
Keywords: MDBD, Beta-sitosterol, Diabetic Retinopathy, Network Pharmacology, molecular docking, Mendelian randomization
Received: 17 Jun 2025; Accepted: 24 Sep 2025.
Copyright: © 2025 Poon, Lam, Hsu, Huang, Xu, Liang, Xie and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lai Kwan Lam, 1926786051@qq.com
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