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Genetic Signatures Predict Social-Cognitive Trajectories in Ultra-High-Risk Psychosis: A 24-month Longitudinal Study

aut.relation.articlenumber104749
aut.relation.endpage104749
aut.relation.journalAsian Journal of Psychiatry
aut.relation.startpage104749
dc.contributor.authorDoborjeh, Zohreh
dc.contributor.authorSumich, Alexander
dc.contributor.authorMedvedev, Oleg N
dc.contributor.authorBuchwald, Khan
dc.contributor.authorDoborjeh, Maryam
dc.contributor.authorSingh, Balkaran
dc.contributor.authorBudhraja, Sugam
dc.contributor.authorMerkin, Alexander
dc.contributor.authorLam, Max
dc.contributor.authorYee, Jie Yin
dc.contributor.authorLee, Tih-Shih
dc.contributor.authorGoh, Wilson
dc.contributor.authorLee, Jimmy
dc.contributor.authorWilliams, Margaret
dc.contributor.authorLai, Edmund M-K
dc.contributor.authorKasabov, Nikola K
dc.date.accessioned2025-11-10T00:48:54Z
dc.date.available2025-11-10T00:48:54Z
dc.date.issued2025-11-06
dc.description.abstractBackground Identifying biomarkers that predict social and cognitive outcomes in individuals at ultra-high risk (UHR) for psychosis remains a key challenge in preventive psychiatry. While genetic factors contribute to psychosis vulnerability, specific markers that predict individual trajectories of functional decline or resilience are still unclear. Methods In a 24-month longitudinal study involving UHR (n=45) and healthy control participants (n=54), we investigated for the first time the predictive causal relationship between key immunological genes (FABP5 family and immunoglobulins) and social-cognitive outcomes. Participants completed comprehensive assessments at baseline and four 6-month intervals. We used regression modelling and dynamic Bayesian network analysis to identify predictive relationships between gene expression and behavioral outcomes over time. Results FABP5 family genes (FABP5P1, FABP5P11, FABP5P9) significantly predicted verbal memory (β=0.233, p=0.002); working memory (β=0.225, p=0.004), and social skills (β =-0·190, p<0.029), respectively, at 24 months in the UHR group. Immunoglobulin-related genes showed distinct effects: FCGR2B predicted object recognition ability (β=0.233, p=0.014), while GOT2 inversely predicted planning ability (β=-0.147, p=0.067). Network analysis revealed UHR-specific temporal dependencies absent in controls, with FCGRT emerging as a central node linking genetic markers to changes in processing speed and perceptual closure. Conclusions This study provides the first evidence that FABP5 and immunoglobulin-related genetic markers can predict social-cognitive trajectories in individuals at risk for psychosis. These findings support the use of genetic profiling for early identification and highlight new opportunities for personalized preventive strategies in psychiatry.
dc.identifier.citationAsian Journal of Psychiatry, ISSN: 1876-2018 (Print), Elsevier BV, 104749-104749. doi: 10.1016/j.ajp.2025.104749
dc.identifier.doi10.1016/j.ajp.2025.104749
dc.identifier.issn1876-2018
dc.identifier.urihttp://hdl.handle.net/10292/20083
dc.languageen
dc.publisherElsevier BV
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1876201825003922?via%3Dihub
dc.rights© 2025 The Author(s). Published by Elsevier B.V. Creative Commons. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
dc.rights.accessrightsOpenAccess
dc.subject5202 Biological Psychology
dc.subject32 Biomedical and Clinical Sciences
dc.subject52 Psychology
dc.subjectBrain Disorders
dc.subjectMental Health
dc.subjectPrevention
dc.subjectSerious Mental Illness
dc.subjectClinical Research
dc.subjectGenetics
dc.subjectMental Illness
dc.subjectBehavioral and Social Science
dc.subjectBasic Behavioral and Social Science
dc.subjectNeurosciences
dc.subject2.1 Biological and endogenous factors
dc.subjectMental health
dc.subject3 Good Health and Well Being
dc.subject1103 Clinical Sciences
dc.subject1109 Neurosciences
dc.subject1701 Psychology
dc.subject3202 Clinical sciences
dc.subject3209 Neurosciences
dc.subject5203 Clinical and health psychology
dc.subjectUltra-high Risk
dc.subjectPsychosis
dc.subjectNetwork analysis
dc.subjectSocial-cognition
dc.subjectGenetics
dc.subjectPrediction
dc.subjectLongitudinal study
dc.titleGenetic Signatures Predict Social-Cognitive Trajectories in Ultra-High-Risk Psychosis: A 24-month Longitudinal Study
dc.typeJournal Article
pubs.elements-id745305

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