{"title":"Emerging strategies in drug repurposing for decreasing the risk of age-related macular degeneration.","authors":"Beryl Zhou, Nikita Mokhashi, Dimitra Skondra","doi":"10.1080/17460441.2026.2635492","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Vision loss in older adults is largely driven by age-related macular degeneration (AMD), characterized by progressive central visual field damage and functional decline. While current options for wet and dry AMD are limited and expensive, drug repurposing represents a promising strategy to accelerate the discovery of effective, accessible treatment by leveraging medications with established safety profiles. Notably, anti-diabetic agents including metformin, sulfonylureas, glucagon-like peptide-1 receptor agonists (GLP-1RAs), and insulin have emerged as modulators of the retinal pigment epithelium (RPE) function, photoreceptors, and retinal vascular integrity.</p><p><strong>Areas covered: </strong>This review highlights the roles of oxidative stress, inflammation, and complement-mediated immune dysregulation in AMD pathogenesis, alongside preclinical data demonstrating metformin's protective effects via AMP-activated protein kinase (AMPK) activation. Population-based studies and meta-analyses further suggest a modest reduction in AMD risk associated with metformin use in both diabetic and non-diabetic cohorts. Additional pharmacological agents include statins, glyburide, L-DOPA, fluoxetine, dimethyl fumarate, and nutraceuticals such as curcumin, melatonin, and N-acetylcysteine.</p><p><strong>Expert opinion: </strong>Early AMD prevention through repurposed therapeutics, guided by AI-driven design and systems biology, may enable personalized care via multimodal risk stratification incorporating genetic, metabolomic, and microbiome data. Rigorous, stratified clinical trials integrating bioinformatics and precision medicine are essential to validate the most effective candidates.</p>","PeriodicalId":12267,"journal":{"name":"Expert Opinion on Drug Discovery","volume":" ","pages":"339-354"},"PeriodicalIF":7.3000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Opinion on Drug Discovery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17460441.2026.2635492","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Vision loss in older adults is largely driven by age-related macular degeneration (AMD), characterized by progressive central visual field damage and functional decline. While current options for wet and dry AMD are limited and expensive, drug repurposing represents a promising strategy to accelerate the discovery of effective, accessible treatment by leveraging medications with established safety profiles. Notably, anti-diabetic agents including metformin, sulfonylureas, glucagon-like peptide-1 receptor agonists (GLP-1RAs), and insulin have emerged as modulators of the retinal pigment epithelium (RPE) function, photoreceptors, and retinal vascular integrity.
Areas covered: This review highlights the roles of oxidative stress, inflammation, and complement-mediated immune dysregulation in AMD pathogenesis, alongside preclinical data demonstrating metformin's protective effects via AMP-activated protein kinase (AMPK) activation. Population-based studies and meta-analyses further suggest a modest reduction in AMD risk associated with metformin use in both diabetic and non-diabetic cohorts. Additional pharmacological agents include statins, glyburide, L-DOPA, fluoxetine, dimethyl fumarate, and nutraceuticals such as curcumin, melatonin, and N-acetylcysteine.
Expert opinion: Early AMD prevention through repurposed therapeutics, guided by AI-driven design and systems biology, may enable personalized care via multimodal risk stratification incorporating genetic, metabolomic, and microbiome data. Rigorous, stratified clinical trials integrating bioinformatics and precision medicine are essential to validate the most effective candidates.
期刊介绍:
Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development.
The Editors welcome:
Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology
Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug
The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.