Association between biological aging and diabetic retinopathy

• Published in: Scientific reports Vol. 14; no. 1; p. 10123
• Main Authors: Tang, Haoxian, Luo, Nan, Zhang, Xuan, Huang, Jingtao, Yang, Qinglong, Lin, Hanyuan, Zhang, Xinyi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.05.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 692/420; 692/699; 692/699/3161; 692/699/3161/3175; Adult; Aged; Ageing; Aging; Biological age; Biological aging; Chronological age; Diabetes; Diabetes mellitus; Diabetic retinopathy; Diabetic Retinopathy - pathology; Female; Haemorrhage; Hemorrhage; Humanities and Social Sciences; Humans; Insulin; Lesions; Male; Middle Aged; multidisciplinary; NHANES; Nutrition; Nutrition Surveys; Retina; Retinopathy; Risk Factors; ROC Curve; Science; Science (multidisciplinary); Splines; Surveys; Diabetic retinopathy; NHANES; Biological aging; Chronological age
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-60913-x

The impact of aging on diabetic retinopathy (DR) remains underestimated. The current study aimed to investigate the association between biological aging and DR, in contrast to chronological age (CA). Using the National Health and Nutrition Survey data from 2005 to 2008. Biological aging was evaluated through the biological age (BA) and phenotypic age (PA), which were calculated from clinical markers. DR was identified in participants with diabetes mellitus (DM) when they exhibited one or more retinal microaneurysms or retinal blot hemorrhages under retinal imaging, with or without the presence of more severe lesions. Survey-weighted multivariable logistic regression was performed, and the regression model was further fitted using restricted cubic splines. The discriminatory capability and clinical utility of the model were evaluated using receiver operating characteristic (ROC) curves and decision curve analysis (DCA). Based on weighted analyses, of the 3100 participants included in this study, of which 162 had DR. In the adjusted model, BA (odds ratio [OR] = 1.12, 95% CI, 1.06–1.18) and PA (OR = 1.11, 95% CI, 1.07–1.14) were associated with DR, while CA was not significantly (OR = 1.01, 95% CI, 0.99–1.03). Narrowing the analysis to DM participants and adjusting for factors like insulin showed similar results. ROC and DCA analyses indicate that BA/PA predicted DR better than CA and offer greater clinical utility. The positive association between BA/PA and DR was consistent across subgroups despite potential interactions. Biological aging heightens DR risk, with BA/PA showing a stronger association than CA. Our findings underscored the importance of timely anti-aging interventions for preventing DR.