Publikation: Genetic signatures predict social-cognitive trajectories in ultra-high-risk psychosis : A 24-month longitudinal study
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Background: 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.
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DOBORJEH, Zohreh, Alexander SUMICH, Oleg N. MEDVEDEV, Khan BUCHWALD, Maryam DOBORJEH, Balkaran SINGH, Sugam BUDHRAJA, Alexander MERKIN, Max LAM, Jie Yin YEE, 2025. Genetic signatures predict social-cognitive trajectories in ultra-high-risk psychosis : A 24-month longitudinal study. In: Asian Journal of Psychiatry. Elsevier. 2025, 114, 104749. ISSN 1876-2018. Verfügbar unter: doi: 10.1016/j.ajp.2025.104749BibTex
@article{Doborjeh2025-12Genet-75332,
title={Genetic signatures predict social-cognitive trajectories in ultra-high-risk psychosis : A 24-month longitudinal study},
year={2025},
doi={10.1016/j.ajp.2025.104749},
volume={114},
issn={1876-2018},
journal={Asian Journal of Psychiatry},
author={Doborjeh, Zohreh and Sumich, Alexander and Medvedev, Oleg N. and Buchwald, Khan and Doborjeh, Maryam and Singh, Balkaran and Budhraja, Sugam and Merkin, Alexander and Lam, Max and Yee, Jie Yin},
note={Article Number: 104749}
}RDF
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<dcterms:abstract>Background:
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.</dcterms:abstract>
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