Multivariate Brain-Blood Signatures in Early-Stage Depression and Psychosis

D Popovic; C Weyer; DB Dwyer; SL Griffiths; PA Lalousis; NM Barnes; C Vetter; LM Neuner; MO Buciuman; E Sarisik; M Paolini; T Lichtenstein; L Kambeitz-Ilankovic; J Kambeitz; S Ruhrmann; K Chisholm; F Schultze-Lutter; P Falkai; K Schiltz; J Steiner; M Ziller; G Pergola; G Blasi; A Bertolino; G Romer; R Lencer; U Dannlowski; RKR Salokangas; C Pantelis; P Brambilla; S Borgwardt; SJ Wood; E Meisenzahl; N Koutsouleris; R Upthegrove

Journal article

Multivariate Brain-Blood Signatures in Early-Stage Depression and Psychosis

D Popovic, C Weyer, DB Dwyer, SL Griffiths, PA Lalousis, NM Barnes, C Vetter, LM Neuner, MO Buciuman, E Sarisik, M Paolini, T Lichtenstein, L Kambeitz-Ilankovic, J Kambeitz, S Ruhrmann, K Chisholm, F Schultze-Lutter, P Falkai, K Schiltz, J Steiner Show all

JAMA Psychiatry | Published : 2026

DOI: 10.1001/jamapsychiatry.2025.3803

Abstract

Importance: Inflammation is increasingly implicated in the pathophysiology of mood and psychotic disorders. Integrating blood biomarkers and brain imaging may help uncover mechanistic pathways and guide targeted interventions. Objective: To identify shared and distinct multivariate patterns of peripheral inflammation and gray matter volume (GMV) in early-stage depressive and psychotic disorders using a transdiagnostic machine learning approach. Design, Setting, and Participants: The naturalistic multicenter PRONIA study was conducted between February 2014 and May 2019 with a follow-up period of up to 36 months; baseline data were analyzed between August 2021 and April 2024. Eight sites, incl..

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