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  • Dean, Kelsey R.Harvard University (author)

Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • 2019-09-10
  • Springer Science and Business Media LLC,2020
  • 13 s.

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:5210c355-346a-4c20-a476-06d4a77137d5
  • https://lup.lub.lu.se/record/5210c355-346a-4c20-a476-06d4a77137d5URI
  • https://doi.org/10.1038/s41380-019-0496-zDOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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 cohort of 83 warzone-related PTSD cases and 82 warzone-exposed controls, we identified a set of 343 candidate biomarkers. These candidate biomarkers were selected from an integrated approach using (1) data-driven methods, including Support Vector Machine with Recursive Feature Elimination and other standard or published methodologies, and (2) hypothesis-driven approaches, using previous genetic studies for polygenic risk, or other PTSD-related literature. After reassessment of ~30% of these participants, we refined this set of markers from 343 to 28, based on their performance and ability to track changes in phenotype over time. The final diagnostic panel of 28 features was validated in an independent cohort (26 cases, 26 controls) with good performance (AUC = 0.80, 81% accuracy, 85% sensitivity, and 77% specificity). The identification and validation of this diverse diagnostic panel represents a powerful and novel approach to improve accuracy and reduce bias in diagnosing combat-related PTSD.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Hammamieh, RashaUS Army Medical Research and Materiel Command (author)
  • Mellon, Synthia H.University of California, San Francisco (author)
  • Abu-Amara, DunaNYU Langone (author)
  • Flory, Janine D.Icahn School of Medicine at Mount Sinai,James J. Peters Veterans Administration Medical Center (author)
  • Guffanti, GuiaMcLean Hospital (author)
  • Wang, KaiInstitute for Systems Biology, Seattle (author)
  • Daigle, Bernie J.University of Memphis (author)
  • Gautam, AartiUS Army Medical Research and Materiel Command (author)
  • Lee, InyoulInstitute for Systems Biology, Seattle (author)
  • Yang, RuotingNational Cancer Institute at Frederick (author)
  • Almli, Lynn M.Emory University (author)
  • Bersani, F. SaverioUniversity of California, San Francisco,Sapienza University of Rome (author)
  • Chakraborty, NabarunU.S. Army Center for Environmental Health Research (author)
  • Donohue, DuncanU.S. Army Center for Environmental Health Research (author)
  • Kerley, KimberlyEmory University (author)
  • Kim, Taek KyunInstitute for Systems Biology, Seattle (author)
  • Laska, EugeneNYU Langone (author)
  • Young Lee, MinInstitute for Systems Biology, Seattle (author)
  • Lindqvist, DanielLund University,Lunds universitet,Enheten för klinisk suicidforskning,Forskargrupper vid Lunds universitet,Enheten för Biologisk Psykiatri och Precisionspsykiatri,Unit for clinical suicide research,Lund University Research Groups,Unit for Biological and Precision Psychiatry,University of California, San Francisco(Swepub:lu)med-del (author)
  • Lori, AdrianaEmory University (author)
  • Lu, LiangqunUniversity of Memphis (author)
  • Misganaw, BurookHarvard University (author)
  • Muhie, SeidU.S. Army Center for Environmental Health Research (author)
  • Newman, JenniferNYU Langone (author)
  • Price, Nathan D.Institute for Systems Biology, Seattle (author)
  • Qin, ShizhenInstitute for Systems Biology, Seattle (author)
  • Reus, Victor I.University of California, San Francisco (author)
  • Siegel, CaroleNYU Langone (author)
  • Somvanshi, Pramod R.Harvard University (author)
  • Thakur, Gunjan S.Harvard University (author)
  • Zhou, YongInstitute for Systems Biology, Seattle (author)
  • Hood, LeroyInstitute for Systems Biology, Seattle (author)
  • Ressler, Kerry J.McLean Hospital (author)
  • Wolkowitz, Owen M.University of California, San Francisco(Swepub:lu)ow2624wo (author)
  • Yehuda, RachelJames J. Peters Veterans Administration Medical Center,Icahn School of Medicine at Mount Sinai (author)
  • Jett, MartiU.S. Army Center for Environmental Health Research (author)
  • Doyle III, Francis J.Harvard University (author)
  • Marmar, CharlesNYU Langone,New York University (author)
  • Harvard UniversityUS Army Medical Research and Materiel Command (creator_code:org_t)
  • The PTSD Systems Biology Consortium

Related titles

  • In:Molecular Psychiatry: Springer Science and Business Media LLC25:12, s. 3337-33491359-41841476-5578

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