TY - JOUR
T1 - A multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder
AU - Traumatic Stress Brain Research Group
AU - Wang, Jiawei
AU - Liu, Yujing
AU - Li, Hongyu
AU - Nguyen, Tuan P.
AU - Soto-Vargas, John Lee
AU - Wilson, Rashaun
AU - Wang, Weiwei
AU - Lam, Tu Kiet T.
AU - Zhang, Chi
AU - Lin, Chen
AU - Wolf, Erika J.
AU - Williamson, Douglas E.
AU - Ursano, Robert
AU - Stein, Thor
AU - DiSano, Krista
AU - Schnurr, Paula
AU - Scott, William K.
AU - Pierce, Meghan
AU - Montalvo-Ortiz, Janitza
AU - Noller, Crystal
AU - Miller, Mark W.
AU - Marx, Brian
AU - McKee, Ann
AU - Logue, Mark W.
AU - Keane, Terence M.
AU - Labadorf, Adam T.
AU - Kaye, Alfred
AU - Huber, Bertrand R.
AU - Hoffman, Ellen
AU - Davis, David A.
AU - Cruz, Dianne A.
AU - Che, Alicia
AU - Benedek, David
AU - Alvarez, Victor E.
AU - Lewis, David A.
AU - Glausier, Jill
AU - Holtzheimer, Paul E.
AU - Friedman, Matthew J.
AU - Williams, Kenneth R.
AU - Picciotto, Marina R.
AU - Nairn, Angus C.
AU - Krystal, John H.
AU - Duman, Ronald S.
AU - Young, Keith A.
AU - Zhao, Hongyu
AU - Girgenti, Matthew J.
N1 - Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Background : Post-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. Methods: We 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. Results: We 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. Conclusions: We 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.
AB - Background : Post-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. Methods: We 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. Results: We 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. Conclusions: We 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.
KW - Major depressive disorder
KW - MicroRNAs
KW - Multi-omics
KW - PTSD
KW - Prefrontal cortex
UR - http://www.scopus.com/inward/record.url?scp=105004329995&partnerID=8YFLogxK
U2 - 10.1186/s13073-025-01473-1
DO - 10.1186/s13073-025-01473-1
M3 - Article
C2 - 40301990
AN - SCOPUS:105004329995
SN - 1756-994X
VL - 17
JO - Genome Medicine
JF - Genome Medicine
IS - 1
M1 - 43
ER -