Neuroanatomical dimensions in recent-onset depression: clinical profiles, inflammatory markers, and proteomic ageing
Preprint
Abstract
Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of reproducible biomarkers. Using a semi-supervised machine learning approach, HYDRA, we previously identified two neuroanatomical dimensions from structural MRI in medication-free MDD from COORDINATE-MDD consortium. These dimensions (D1, D2) showed differential responses to selective serotonin reuptake inhibitor (SSRI) antidepressants and placebo. External replication in UK Biobank linked D2, characterized by widespread subtle neuroanatomical reductions, to an immuno-metabolic profile. Here, we examined whether these dimensions are detectable early in the course of illness. Methods: We applied the pre-trained model to structural MRI data from the multisite PRONIA cohort, comprising individuals with recent-onset depression (ROD; n = 377; mean age 25.8 years, SD 6.0; 51.3% female) and healthy controls (n = 267; mean age 25.5 years, SD 6.4; 61.0% female). Participants were assigned to clusters (C1, C2) corresponding to the previously identified dimensions (D1, D2). Clusters were compared on clinical symptom profiles, peripheral inflammatory markers, and in a subset (n = 107), proteomic ageing indices. Results: Two neuroanatomical clusters were identified in PRONIA. C1 (n = 265) showed higher negative symptom severity and elevated interleukin-2 levels. C2 (n = 140) was associated with higher residual proteomic age. Overall depressive symptom severity did not differ significantly between clusters. Conclusions: Neuroanatomical dimensions of MDD are reproducible and detectable at illness onset. Associations with negative symptom severity, inflammatory signalling, and proteomic ageing suggest these dimensions capture biologically meaningful heterogeneity early in depression. These findings support a biologically informed framework for stratified treatment approaches in MDD.Keywords
Funding Information
- European Union’s Seventh Framework Programme (602152)
This publication has 49 references indexed in Scilit:
- Multivariate Brain-Blood Signatures in Early-Stage Depression and PsychosisJAMA Psychiatry, 2026
- Inflammatory markers in depression: A meta-analysis of mean differences and variability in 5,166 patients and 5,083 controlsBrain, Behavior, and Immunity, 2020
- Markers of central inflammation in major depressive disorder: A systematic review and meta-analysis of studies examining cerebrospinal fluid, positron emission tomography and post-mortem brain tissueBrain, Behavior, and Immunity, 2019
- Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset DepressionJAMA Psychiatry, 2018
- Association between a functional interleukin 6 receptor genetic variant and risk of depression and psychosis in a population-based birth cohortBrain, Behavior, and Immunity, 2018
- Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translationDepression and Anxiety, 2016
- THE ASSOCIATION BETWEEN DEPRESSION AND LEUKOCYTE TELOMERE LENGTH: A META-ANALYSISDepression and Anxiety, 2015
- Effect of Anti-inflammatory Treatment on Depression, Depressive Symptoms, and Adverse EffectsJAMA Psychiatry, 2014
- Cognitive aspects of depressionWIREs Cognitive Science, 2012
- Structural Neuroimaging Studies in Major Depressive DisorderArchives of General Psychiatry, 2011