ORIGINAL RESEARCH article
Front. Med.
Sec. Ophthalmology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1427144
Natural active ingredients targeted inflammatory cytokines and major blinding eye diseases: A Two-sample Mendelian randomization and molecular docking analysis
Provisionally accepted
- 1Kunshan Rehabilitation Hospital, Kunshan, China
- 2Soochow University, Soochow, China
- 3Nantong University, Nantong, Jiangsu Province, China
- 4Nanjing Medical University, Nanjing, Jiangsu Province, China
- 5Soochow University, Suzhou, Jiangsu Province, China
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Objectives: Previous studies have reported that a few inflammatory cytokines have associations with ocular diseases. The objective of this study is to explore the causal relationship between 41 inflammatory cytokines and five ocular diseases using Mendelian randomization (MR) method and study the interaction between five natural active ingredients and inflammatory cytokines through molecular docking.The two-sample MR study employed genetic variances related to age-related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), myopia, and cataract. These variances were sourced from a comprehensive, publicly accessible genome-wide association study (GWAS). Additionally, inflammatory cytokines were derived from a GWAS summary that included 8,293 healthy individuals. The study primarily used the inverse variance weighted (IVW) method to investigate the causality between exposures and outcomes. To further bolster the final results, a variety of methods were concurrently used, including MR-Egger, weighted median, simple mode, weighted mode, and MR-PRESSO. A protein-protein interaction (PPI) network was constructed, and corresponding protein interaction relationships were analyzed utilizing the STRING database. Molecular docking served as an evaluation tool, confirming the binding between components and targets. This process was performed using AutoDock and PyMOL software.
Keywords: Eye disease, GWAS, inflammatory cytokines, Mendelian randomization, molecular docking
Received: 03 May 2024; Accepted: 17 Jun 2025.
Copyright: © 2025 Shao, Lu, Gu, Chen and Li. 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: Chen Li, Soochow University, Suzhou, 215000, Jiangsu Province, China
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