medRxiv : the preprint server for health sciences · 2025
Hierarchical Clustering of Canonical Retinal-Biopsychosocial Covariation Patterns Reveals Distinct Psychosis Subgroups: A Data-Driven Study from the UK Biobank.
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Demirlek Cemal, Stiltner Brendan, Velez-Perez Erik, Zeng Victor, Silverstein Steve, Aideyan Babatunde, Lizano Paulo
Аннотация
BACKGROUND: Retinal alterations and related health/cognitive profiles are reported in psychosis spectrum disorders (PSD), but it is unknown whether multivariate retina-biopsychosocial covariations can identify biologically distinct subgroups.
METHODS: Layer-resolved retinal thicknesses were obtained from macula-centered optical coherence tomography (OCT) scans using UK Biobank data from 476 adults (238 PSD, 238 age- and sex-matched controls). Biopsychosocial measures included sociodemographic/economic, cardiometabolic, ocular, and cognitive measures. Canonical correlation analysis (CCA) was employed to characterize patterns of covariation between retinal and biopsychosocial measures. Statistically reliable retina-biopsychosocial covariations were hierarchically clustered to derive subgroups, which were compared across various profiles using general linear models with false-discovery rate (FDR) correction.
RESULTS: CCA revealed a multivariate retinal-biopsychosocial association pattern (r=0.468, 95% CI=0.410-0.527, p<.0001) linking lower retinal thickness, primarily outer-layers with greater socioeconomic deprivation, higher BMI, poorer visual acuity and lower cognitive performance. Hierarchical clustering of CCA projections based on this multivariate pattern identified 2 internally stable groups. Patients in cluster 1 (retina-preserved, 43.7% PSD, 81.9% controls) were cytoarchitecturally and systemically similar to controls, except for thicker nerve fiber layer (RNFL, Cohen's d =0.32, p FDR =0.0093). Cluster 2 (retina-impaired) had significantly more participants with PSD (76% PSD) and they exhibited lower thicknesses across total macula ( d =-0.80, p FDR =5.64×10 -12 ), RNFL ( d =-0.39, p FDR =0.0009), and photoreceptor layers ( d =-0.42 to -1.06, p FDR <.0001), and were also characterized by lower socioeconomic status ( d= -0.71 to -1.35, p FDR <.0001).
CONCLUSIONS: Integrating layer-resolved OCT with biopsychosocial measures can noninvasively stratify PSD into biologically meaningful subgroups, underscoring the translational potential of retinal microstructure for precision psychiatry beyond symptom-based classifications.
METHODS: Layer-resolved retinal thicknesses were obtained from macula-centered optical coherence tomography (OCT) scans using UK Biobank data from 476 adults (238 PSD, 238 age- and sex-matched controls). Biopsychosocial measures included sociodemographic/economic, cardiometabolic, ocular, and cognitive measures. Canonical correlation analysis (CCA) was employed to characterize patterns of covariation between retinal and biopsychosocial measures. Statistically reliable retina-biopsychosocial covariations were hierarchically clustered to derive subgroups, which were compared across various profiles using general linear models with false-discovery rate (FDR) correction.
RESULTS: CCA revealed a multivariate retinal-biopsychosocial association pattern (r=0.468, 95% CI=0.410-0.527, p<.0001) linking lower retinal thickness, primarily outer-layers with greater socioeconomic deprivation, higher BMI, poorer visual acuity and lower cognitive performance. Hierarchical clustering of CCA projections based on this multivariate pattern identified 2 internally stable groups. Patients in cluster 1 (retina-preserved, 43.7% PSD, 81.9% controls) were cytoarchitecturally and systemically similar to controls, except for thicker nerve fiber layer (RNFL, Cohen's d =0.32, p FDR =0.0093). Cluster 2 (retina-impaired) had significantly more participants with PSD (76% PSD) and they exhibited lower thicknesses across total macula ( d =-0.80, p FDR =5.64×10 -12 ), RNFL ( d =-0.39, p FDR =0.0009), and photoreceptor layers ( d =-0.42 to -1.06, p FDR <.0001), and were also characterized by lower socioeconomic status ( d= -0.71 to -1.35, p FDR <.0001).
CONCLUSIONS: Integrating layer-resolved OCT with biopsychosocial measures can noninvasively stratify PSD into biologically meaningful subgroups, underscoring the translational potential of retinal microstructure for precision psychiatry beyond symptom-based classifications.