<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dean KR</submitter><funding>United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office</funding><pagination>3337-3349</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7714692</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(12)</volume><pubmed_abstract>Post-traumatic stress disorder (PTSD) impacts many veterans and active duty soldiers, but diagnosis can be problematic due to biases in self-disclosure of symptoms, stigma within military populations, and limitations identifying those at risk. Prior studies suggest that PTSD may be a systemic illness, affecting not just the brain, but the entire body. Therefore, disease signals likely span multiple biological domains, including genes, proteins, cells, tissues, and organism-level physiological changes. Identification of these signals could aid in diagnostics, treatment decision-making, and risk evaluation. In the search for PTSD diagnostic biomarkers, we ascertained over one million molecular, cellular, physiological, and clinical features from three cohorts of male veterans. In a discovery</pubmed_abstract><journal>Molecular psychiatry</journal><pubmed_title>Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder.</pubmed_title><pmcid>PMC7714692</pmcid><funding_grant_id>W911NF-17-2-0086</funding_grant_id><funding_grant_id>W911NF-18-2-0056</funding_grant_id><funding_grant_id>W911NF-17-1-0069</funding_grant_id><funding_grant_id>W911NF-13-1-0376</funding_grant_id><pubmed_authors>Gautam A</pubmed_authors><pubmed_authors>Jett M</pubmed_authors><pubmed_authors>Siegel C</pubmed_authors><pubmed_authors>Wu C</pubmed_authors><pubmed_authors>Hoke A</pubmed_authors><pubmed_authors>Young Lee M</pubmed_authors><pubmed_authors>Wu G</pubmed_authors><pubmed_authors>Baxter D</pubmed_authors><pubmed_authors>Wang K</pubmed_authors><pubmed_authors>Kumar R</pubmed_authors><pubmed_authors>Bersani FS</pubmed_authors><pubmed_authors>Flory JD</pubmed_authors><pubmed_authors>Petzold L</pubmed_authors><pubmed_authors>Desarnaud F</pubmed_authors><pubmed_authors>Yehuda R</pubmed_authors><pubmed_authors>Laska E</pubmed_authors><pubmed_authors>Wu X</pubmed_authors><pubmed_authors>Abu-Amara D</pubmed_authors><pubmed_authors>Misganaw B</pubmed_authors><pubmed_authors>Bierer L</pubmed_authors><pubmed_authors>Newman J</pubmed_authors><pubmed_authors>Almli LM</pubmed_authors><pubmed_authors>Marmar C</pubmed_authors><pubmed_authors>Li M</pubmed_authors><pubmed_authors>Lu L</pubmed_authors><pubmed_authors>Dean KR</pubmed_authors><pubmed_authors>Guffanti G</pubmed_authors><pubmed_authors>Thakur GS</pubmed_authors><pubmed_authors>Yang R</pubmed_authors><pubmed_authors>Lori A</pubmed_authors><pubmed_authors>PTSD Systems Biology Consortium</pubmed_authors><pubmed_authors>Chakraborty N</pubmed_authors><pubmed_authors>Muhie S</pubmed_authors><pubmed_authors>Coy M</pubmed_authors><pubmed_authors>Price ND</pubmed_authors><pubmed_authors>Reus VI</pubmed_authors><pubmed_authors>Scherler K</pubmed_authors><pubmed_authors>Wolkowitz OM</pubmed_authors><pubmed_authors>Hood L</pubmed_authors><pubmed_authors>Blessing E</pubmed_authors><pubmed_authors>Miller SA</pubmed_authors><pubmed_authors>Lee I</pubmed_authors><pubmed_authors>Qin S</pubmed_authors><pubmed_authors>Ressler KJ</pubmed_authors><pubmed_authors>Tang L</pubmed_authors><pubmed_authors>Cho JH</pubmed_authors><pubmed_authors>Mellon SH</pubmed_authors><pubmed_authors>Srinivasan S</pubmed_authors><pubmed_authors>Suessbrick A</pubmed_authors><pubmed_authors>Doyle FJ</pubmed_authors><pubmed_authors>Hammamieh R</pubmed_authors><pubmed_authors>Kerley K</pubmed_authors><pubmed_authors>Price L</pubmed_authors><pubmed_authors>Daigle BJ</pubmed_authors><pubmed_authors>Makotkine I</pubmed_authors><pubmed_authors>Donohue D</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Lindqvist D</pubmed_authors><pubmed_authors>Fossati S</pubmed_authors><pubmed_authors>Somvanshi PR</pubmed_authors><pubmed_authors>Kim TK</pubmed_authors><pubmed_authors>Qian M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder.</name><description>Post-traumatic stress disorder (PTSD) impacts many veterans and active duty soldiers, but diagnosis can be problematic due to biases in self-disclosure of symptoms, stigma within military populations, and limitations identifying those at risk. Prior studies suggest that PTSD may be a systemic illness, affecting not just the brain, but the entire body. Therefore, disease signals likely span multiple biological domains, including genes, proteins, cells, tissues, and organism-level physiological changes. Identification of these signals could aid in diagnostics, treatment decision-making, and risk evaluation. In the search for PTSD diagnostic biomarkers, we ascertained over one million molecular, cellular, physiological, and clinical features from three cohorts of male veterans. In a discovery</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Dec</publication><modification>2025-04-19T10:36:28.863Z</modification><creation>2021-02-20T10:05:29Z</creation></dates><accession>S-EPMC7714692</accession><cross_references><pubmed>31501510</pubmed><doi>10.1038/s41380-019-0496-z</doi></cross_references></HashMap>