Evidence map›Paper›PMID 40301990›Full record

ArticleGenome medicine2025

A multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder.

Jiawei Wang, Yujing Liu, Hongyu Li, Tuan P Nguyen, John Lee Soto-Vargas, Rashaun Wilson, Weiwei Wang, TuKiet T Lam, Chi Zhang, Chen Lin and 13 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Jiawei WangProgram of Computational Biology & Bioinformatics, Yale University, New Haven, CT, 06511, USA.
Yujing LiuDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
Hongyu LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, 06510, USA.
Tuan P NguyenDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
John Lee Soto-VargasDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
Rashaun WilsonNIDA Neuroproteomics Center, Yale School of Medicine, New Haven, CT, 06511, USA.
Weiwei WangDepartment of Molecular Biophysics and Biochemistry, Yale School of Medicine, New Haven, CT, 06511, USA.
TuKiet T LamNIDA Neuroproteomics Center, Yale School of Medicine, New Haven, CT, 06511, USA.
Chi ZhangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, 06510, USA.
Chen LinDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, 06510, USA.
Traumatic Stress Brain Research Group
David A LewisDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Jill GlausierDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Paul E HoltzheimerNational Center for PTSD, United States Department of Veterans Affairs, White River Junction, VT, 05009, USA.
Matthew J FriedmanNational Center for PTSD, United States Department of Veterans Affairs, White River Junction, VT, 05009, USA.
Kenneth R WilliamsNIDA Neuroproteomics Center, Yale School of Medicine, New Haven, CT, 06511, USA.
Marina R PicciottoDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
Angus C NairnDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
John H KrystalDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
Ronald S DumanDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
Keith A YoungCentral Texas Veterans Health Care System, Research Service, Temple, TX, 76504, USA.
Hongyu ZhaoProgram of Computational Biology & Bioinformatics, Yale University, New Haven, CT, 06511, USA.
Matthew J GirgentiDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA. matthew.girgenti@yale.edu.

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI TuKiet T Lam · 2004 to 2026
$37.1M
Functional convergence following disruption of diverse genes associated with cannabis use and major depressionDP1DA060811 · NIDA · YALE UNIVERSITY · PI Matthew J Girgenti · 2024 to 2026
$1.3M
6500 QTrap Mass Spectrometer for Yale UniversityS10OD018034 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2014 to 2014
$514k
An Ultra-Performance Liquid Chromatography System to Support Metabolomics at Yale UniversityS10OD019967 · OD · YALE UNIVERSITY · PI LAM, TUKIET T · 2015 to 2015
$135k
American Foundation for Suicide Prevention Young Investigator AwardBrain and Behavior Research Foundation Young Investigator AwardNIDA NIH HHS DA018343NIDA NIH HHS DA060811NIDA NIH HHS DP1 DA060811NIDA NIH HHS P30 DA018343NIH HHS S10 OD018034NIH HHS S10 OD019967U.S. Department of Veterans Affairs VISN1 Career Development Award
6 · The paper itself

Abstract

backgroundPost-traumatic stress disorder (PTSD) is a common and disabling psychiatric disorder. PTSD involves multiple brain regions and is often comorbid with other psychiatric disorders, such as major depressive disorder (MDD). Recent genome-wide association studies (GWASs) have identified many PTSD risk loci and transcriptomics studies of postmortem brain have found differentially expressed genes associated with PTSD cases. In this study, we integrated genome-wide measures across modalities to identify convergent molecular effects in the PTSD brain.

methodsWe performed tandem mass spectrometry (MS/MS) on a large cohort of donors (N = 66) in two prefrontal cortical areas, dorsolateral prefrontal cortex (DLPFC), and subgenual prefrontal cortex (sgPFC). We also coupled the proteomics data with transcriptomics and microRNA (miRNA) profiling from RNA-seq and small-RNA sequencing, respectively for the same cohort. Additionally, we utilized published GWAS results of multiple psychiatric disorders for integrative analysis.

resultsWe found differentially expressed proteins and co-expression protein modules disrupted by PTSD. Integrative analysis with transcriptomics and miRNA data from the same cohort pointed to hsa-mir-589 as a regulatory miRNA responsible for dysregulation of neuronal protein networks for PTSD, including the gamma-aminobutyric acid (GABA) vesicular transporter, SLC32A1. In addition, we identified significant enrichment of risk genes for other psychiatric disorders, such as autism spectrum disorder (ASD) and major depressive disorder (MDD) within PTSD protein co-expression modules, suggesting shared molecular pathology.

conclusionsWe integrated genome-wide measures of mRNA and miRNA expression and proteomics profiling from PTSD, MDD, and control (CON) brains to identify convergent and divergent molecular processes across genomic modalities. We substantially expand the number of differentially expressed genes and proteins in PTSD and identify downregulation of GABAergic processes in the PTSD proteome. This provides a novel framework for future studies integrating proteomic profiling with transcriptomics and non-coding RNAs in the human brain studies.

Indexed as

Stress Disorders, Post-TraumaticAdultFemaleGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyHumansMajor Depressive DisorderMaleMicroRNAsMiddle AgedMultiomicsPrefrontal CortexProteomicsTranscriptomeMicroRNAsMajor depressive disorderMicroRNAsMulti-omicsPrefrontal cortexPTSD

Identifiers

PMID40301990
PMCPMC12042318

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.