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Gene expression meta-analysis in the prefrontal cortex: unraveling biological underpinnings of suicidal risk.

Overview

Authors: Daniel F. Ramos-Rosales1, Cristian A. Echeverria-Carrillo1, Marcelo Barraza-Salas2, Maribel Cervantes-Flores2, Sergio M. Salas-Pacheco3, Edna M. Méndez-Hernández1, Francisco X. Castellanos-Juárez1, Osmel La Llave-León1, Ada A. Sandoval-Carrillo1, José M. Salas-Pacheco1
  1. Institute of Scientific Research, Juarez University of the State of Durango,Durango, Dgo. C.P. 34070 México
  2. Faculty of Chemical Sciences, Juarez University of the State of Durango,Durango, Dgo. C.P. 34070 México
  3. Faculty of Dentistry, Juarez University of the State of Durango,Durango, Dgo. C.P. 34070 México
Journal: BMC psychiatry, volume 26, issue 1, article 545
Dates: received 13 October 2025; accepted 4 May 2026; published online 20 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1186/s12888-026-08170-2 · PMID 42163165 · PMCID PMC13390219 · OpenAlex W7161826855
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), depression (population), bipolar (population)
Methods: Statistics, Smoothing, state filtering, decompositions, Preprocessing
Keywords: Suicide, Meta-analysis, Transcriptomic profile, DEG, Prefrontal cortex
MeSH: Bipolar Disorder*, Major Depressive Disorder*, Prefrontal Cortex*, Suicide*, Transcriptome*, Gene Expression Profiling, Humans (* major topic)
Topic: Tryptophan and brain disorders (Biological Psychiatry, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 54 references in the paper

Abstract

Background: Suicide is a complex public health challenge. Although psychosocial factors are important, molecular dysregulations in the prefrontal cortex (PFC) have been implicated in suicidal behavior.

Methods: Six post-mortem PFC transcriptomic datasets from Gene Expression Omnibus (GEO) were analyzed to investigate the molecular basis of suicide, a major public health problem whose underlying mechanisms remain incompletely understood. After harmonizing microarray and sequencing data from 248 individuals younger than 60 years, both global and diagnosis-stratified meta-analyses were performed, focusing on major depressive disorder (MDD) and bipolar disorder (BPD).

Results: In the overall comparison between suicide cases and controls, 10 nominally differentially expressed genes were identified, although none remained significant after multiple-testing correction. In the MDD-stratified analysis, four genes survived false discovery rate (FDR) correction (HRH3, PDE2A, NET1, and RHBDF2) and were associated with stress-related pathways, cyclic nucleotide signaling, and synaptic organization. No significant genes were identified in the bipolar disorder subgroup.

Conclusion: These findings suggest that suicide-related transcriptomic alterations in the PFC are not uniform or clearly transdiagnostic, but may be partly shaped by the underlying psychiatric diagnosis, with a more clearly detectable signal in cases with MDD. This study provides a harmonized, bias-aware framework for integrating heterogeneous post-mortem transcriptomic datasets; however, the results should be interpreted as hypothesis-generating candidate signals rather than as definitive biomarkers, and require independent replication and functional validation.

Supplementary Information: The online version contains supplementary material available at 10.1186/s12888-026-08170-2.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

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Data availability

Data are available upon reasonable request to the corresponding author.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 5 keywords, 7 MeSH terms, 53 references.

Cite

This paper

Ramos-Rosales, D. F., Echeverria-Carrillo, C. A., Barraza-Salas, M., Cervantes-Flores, M., Salas-Pacheco, S. M., Méndez-Hernández, E. M., Castellanos-Juárez, F. X., Llave-León, O. L., Sandoval-Carrillo, A. A., & Salas-Pacheco, J. M. (2026). Gene expression meta-analysis in the prefrontal cortex: unraveling biological underpinnings of suicidal risk. BMC psychiatry, 26(1), 545. https://doi.org/10.1186/s12888-026-08170-2

BibTeX

@article{ramosrosales2026gene,
author = {Ramos-Rosales, Daniel F. and Echeverria-Carrillo, Cristian A. and Barraza-Salas, Marcelo and Cervantes-Flores, Maribel and Salas-Pacheco, Sergio M. and Méndez-Hernández, Edna M. and Castellanos-Juárez, Francisco X. and Llave-León, Osmel La and Sandoval-Carrillo, Ada A. and Salas-Pacheco, José M.},
title = {{Gene expression meta-analysis in the prefrontal cortex: unraveling biological underpinnings of suicidal risk}},
journal = {BMC psychiatry},
year = {2026},
month = may,
volume = {26},
number = {1},
pages = {545},
publisher = {BMC},
issn = {1471-244X},
doi = {10.1186/s12888-026-08170-2},
url = {https://doi.org/10.1186/s12888-026-08170-2},
pmid = {42163165},
pmcid = {PMC13390219}
}

RIS

TY - JOUR
AU - Ramos-Rosales, Daniel F.
AU - Echeverria-Carrillo, Cristian A.
AU - Barraza-Salas, Marcelo
AU - Cervantes-Flores, Maribel
AU - Salas-Pacheco, Sergio M.
AU - Méndez-Hernández, Edna M.
AU - Castellanos-Juárez, Francisco X.
AU - Llave-León, Osmel La
AU - Sandoval-Carrillo, Ada A.
AU - Salas-Pacheco, José M.
TI - Gene expression meta-analysis in the prefrontal cortex: unraveling biological underpinnings of suicidal risk
T2 - BMC psychiatry
J2 - BMC Psychiatry
PY - 2026
DA - 2026/05/20
VL - 26
IS - 1
SP - 545
SN - 1471-244X
PB - BMC
DO - 10.1186/s12888-026-08170-2
UR - https://doi.org/10.1186/s12888-026-08170-2
LA - en
ER -

CSL-JSON

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