TY - JOUR
T1 - The association of retinal age gap with schizophrenia
T2 - a cross-sectional analysis
AU - Antaki, Fares
AU - Kerexeta-Sarriegi, Jon
AU - Reis, Ana Paula Ribeiro
AU - Zhu, Zhuoting
AU - Chen, Ruiye
AU - Hu, Wenyi
AU - Ge, Zongyuan
AU - Denniston, Alastair
AU - Petzold, Axel
AU - Silverstein, Steven M.
AU - Keane, Pearse A.
AU - Wagner, Siegfried K.
PY - 2025/9
Y1 - 2025/9
N2 - Schizophrenia, a chronic neuropsychiatric disorder increasingly recognized as a multisystemic disease, is associated with accelerated brain ageing. Using deep learning, we investigated the retina, as a window into the central nervous system, as a surrogate of biological ageing in individuals with schizophrenia. This cross-sectional study was nested within AlzEye, a retrospective cohort of individuals aged ≥40 years attending Moorfields Eye Hospital (2008–2018). Retinal age was predicted from color retinal photographs using a convolutional neural network. The difference between predicted retinal age and chronological age, termed the retinal age gap, was estimated in all individuals. Associations between schizophrenia and retinal age gap were assessed using adjusted linear mixed-effects models. From a cohort of 98,629, 214 individuals had schizophrenia. They were slightly younger than unaffected (61.6 +/- 12.1 vs 64.5 +/- 13.5 years) and more likely to have hypertension (82% vs 47%) and diabetes mellitus (72% vs 27%). Individuals with schizophrenia had a significantly greater retinal age gap (0.76 years, 95% CI: 0.03, 1.49, p=0.04) when adjusting for age, sex, ethnicity, and socioeconomic status. When adjusting for hypertension and diabetes mellitus, there was no significant difference in retinal age gap between groups (0.20, 95% CI: -0.53, 0.93). In this ethnically and socioeconomically diverse urban population, individuals with schizophrenia had an increased retinal age gap. This was attributable to the increased prevalence of hypertension and diabetes mellitus implicating medical comorbidity, which is modifiable, as the driver of accelerated central nervous system ageing.
AB - Schizophrenia, a chronic neuropsychiatric disorder increasingly recognized as a multisystemic disease, is associated with accelerated brain ageing. Using deep learning, we investigated the retina, as a window into the central nervous system, as a surrogate of biological ageing in individuals with schizophrenia. This cross-sectional study was nested within AlzEye, a retrospective cohort of individuals aged ≥40 years attending Moorfields Eye Hospital (2008–2018). Retinal age was predicted from color retinal photographs using a convolutional neural network. The difference between predicted retinal age and chronological age, termed the retinal age gap, was estimated in all individuals. Associations between schizophrenia and retinal age gap were assessed using adjusted linear mixed-effects models. From a cohort of 98,629, 214 individuals had schizophrenia. They were slightly younger than unaffected (61.6 +/- 12.1 vs 64.5 +/- 13.5 years) and more likely to have hypertension (82% vs 47%) and diabetes mellitus (72% vs 27%). Individuals with schizophrenia had a significantly greater retinal age gap (0.76 years, 95% CI: 0.03, 1.49, p=0.04) when adjusting for age, sex, ethnicity, and socioeconomic status. When adjusting for hypertension and diabetes mellitus, there was no significant difference in retinal age gap between groups (0.20, 95% CI: -0.53, 0.93). In this ethnically and socioeconomically diverse urban population, individuals with schizophrenia had an increased retinal age gap. This was attributable to the increased prevalence of hypertension and diabetes mellitus implicating medical comorbidity, which is modifiable, as the driver of accelerated central nervous system ageing.
KW - Artificial intelligence
KW - Diabetes
KW - Hypertension
KW - Oculomics
KW - Retina
KW - Schizophrenia
UR - https://www.scopus.com/pages/publications/105011175291
U2 - 10.1016/j.schres.2025.07.018
DO - 10.1016/j.schres.2025.07.018
M3 - Article
C2 - 40712190
AN - SCOPUS:105011175291
SN - 0920-9964
VL - 283
SP - 180
EP - 187
JO - Schizophrenia Research
JF - Schizophrenia Research
ER -