Exploring the use of immunomethylomics in the characterization of depressed patients: A proof-of-concept study.

Cell-type deconvolution Cytokines Epigenomics Hierarchical clustering Major depressive disorder Pharmaco-epigenomics

Journal

Brain, behavior, and immunity
ISSN: 1090-2139
Titre abrégé: Brain Behav Immun
Pays: Netherlands
ID NLM: 8800478

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 17 07 2024
revised: 02 09 2024
accepted: 21 09 2024
medline: 29 9 2024
pubmed: 29 9 2024
entrez: 28 9 2024
Statut: aheadofprint

Résumé

Alterations in DNA methylation and inflammation could represent valid biomarkers for the stratification of patients with major depressive disorder (MDD). This study explored the use of DNA-methylation based immunological cell-type profiles in the context of MDD and symptom severity over time. In 119 individuals with MDD, DNA-methylation was assessed on whole blood using the Illumina Infinium MethylationEPIC 850 k BeadChip. Quality control and data processing, as well as cell type estimation was conducted using the RnBeads package. The cell type composition was estimated using epigenome-wide DNA methylation signatures, applying the Houseman method, considering six cell types (neutrophils, natural killer cells (NK), B cells, CD4 + T cells, CD8 + T cells and monocytes). Two cytokines (IL-6 and IL-1β) and hsCRP were quantified in serum. We performed a hierarchical cluster analysis on the six estimated cell-types and tested the differences between these clusters in relation to the two cytokines and hsCRP, depression severity at baseline, and after 6 weeks of treatment (celecoxib/placebo + vortioxetine). We performed a second cluster analysis with cell-types and cytokines combined. ANCOVA was used to test for differences across clusters. We applied the Bonferroni correction. After quality control, we included 113 participants. Two clusters were identified, cluster 1 was high in CD4 + cells and NK, cluster 2 was high in CD8 + T-cells and B-cells, with similar fractions of neutrophils and monocytes. The clusters were not associated with either of the two cytokines and hsCRP, or depression severity at baseline, but cluster 1 showed higher depression severity after 6 weeks, corrected for baseline (p = 0.0060). The second cluster analysis found similar results: cluster 1 was low in CD8 + T-cells, B-cells, and IL-1β. Cluster 2 was low in CD4 + cells and natural killer cells. Neutrophils, monocytes, IL-6 and hsCRP were not different between the clusters. Participants in cluster 1 showed higher depression severity at baseline than cluster 2 (p = 0.034), but no difference in depression severity after 6 weeks. DNA-methylation based cell-type profiles may be valuable in the immunological characterization and stratification of patients with MDD. Future models should consider the inclusion of more cell-types and cytokines for better a prediction of treatment outcomes.

Identifiants

pubmed: 39341467
pii: S0889-1591(24)00631-7
doi: 10.1016/j.bbi.2024.09.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Evelien Van Assche (E)

Department of Psychiatry, University of Münster, Münster, Germany.

Christa Hohoff (C)

Department of Psychiatry, University of Münster, Münster, Germany.

Ecem Su Atil (E)

Department of Psychiatry, University of Münster, Münster, Germany.

Sophia M Wissing (SM)

Department of Psychiatry, University of Münster, Münster, Germany.

Alessandro Serretti (A)

Department of Medicine and Surgery, Kore University of Enna, Enna, Italy.

Chiara Fabbri (C)

Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.

Claudia Pisanu (C)

Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.

Alessio Squassina (A)

Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.

Alessandra Minelli (A)

Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

Classifications MeSH