A deep-learning retinal aging biomarker for cognitive decline and incident dementia.

ABSTRACT:

Introduction

The utility of retinal photography-derived aging biomarkers for predicting cognitive decline remains under-explored.

Methods

A memory-clinic cohort in Singapore was followed-up for 5 years. RetiPhenoAge, a retinal aging biomarker, was derived from retinal photographs using deep-learning. Using competing risk analysis, we determined the associations of RetiPhenoAge with cognitive decline and dementia, with the UK Biobank utilized as the replication cohort. The associations of RetiPhenoAge with MRI markers(cerebral small vessel disease [CSVD] and neurodegeneration) and its underlying plasma proteomic profile were evaluated.

Results

Of 510 memory-clinic subjects(N = 155 cognitive decline), RetiPhenoAge associated with incident cognitive decline (subdistribut

SUBMITTER: Sim MA 

PROVIDER: S-EPMC11881618 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature