1. Metabolomic-derived endotypes of age-related macular degeneration (AMD): a step towards identification of disease subgroups
- Author
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Kevin Mendez, Ines Lains, Rachel S. Kelly, João Gil, Rufino Silva, John Miller, Demetrios G. Vavvas, Ivana Kim, Joan Miller, Liming Liang, Jessica A. Lasky-Su, and Deeba Husain
- Subjects
Age-related macular degeneration ,AMD ,Metabolomics ,Endotyping ,Metabo-endotypes ,Medicine ,Science - Abstract
Abstract Age-related macular degeneration (AMD) is a leading cause of blindness worldwide, with a complex pathophysiology and phenotypic diversity. Here, we apply Similarity Network Fusion (SNF) to cluster AMD patients into putative metabolomics-derived endotypes. Using a discovery cohort of 163 AMD patients from Boston, US, and a validation cohort of 214 patients from Coimbra, Portugal, we identified four distinct metabolomics-derived endotypes with varying retinal structural and functional characteristics, confirmed across both cohorts. Patients clustered into Endotype 1 exhibited a milder form of AMD and were characterized by low levels of amino acids in specific metabolic pathways. Meanwhile, patients clustered into both Endotype 3 and 4 were associated with more severe AMD and exhibited low levels of fatty acid metabolites and elevated levels of sphingomyelins and fatty acid metabolites, respectively. These preliminary findings indicate that metabolomics-derived endotyping may offer a refined strategy for categorizing AMD patients based on their specific pathophysiological underpinnings, rather than relying solely on traditional observational clinical indicators.
- Published
- 2024
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