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Rigshospitalet - en del af Københavns Universitetshospital
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Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses

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  • Junru Wu
  • Yoram Vodovotz
  • Sultan Abdelhamid
  • Francis X Guyette
  • Michael B Yaffe
  • Danielle S Gruen
  • Anthony Cyr
  • David O Okonkwo
  • Upendra K Kar
  • Neha Krishnamoorthi
  • Robert G Voinchet
  • Isabel M Billiar
  • Mark H Yazer
  • Rami A Namas
  • Brian J Daley
  • Richard S Miller
  • Brian G Harbrecht
  • Jeffrey A Claridge
  • Herbert A Phelan
  • Brian S Zuckerbraun
  • Pär I Johansson
  • Jakob Stensballe
  • James H Morrissey
  • Russell P Tracy
  • Stephen R Wisniewski
  • Matthew D Neal
  • Jason L Sperry
  • Timothy R Billiar
  • PAMPer study group
Vis graf over relationer

Trauma is a leading cause of death and morbidity worldwide. Here, we present the analysis of a longitudinal multi-omic dataset comprising clinical, cytokine, endotheliopathy biomarker, lipidome, metabolome, and proteome data from severely injured humans. A "systemic storm" pattern with release of 1,061 markers, together with a pattern suggestive of the "massive consumption" of 892 constitutive circulating markers, is identified in the acute phase post-trauma. Data integration reveals two human injury response endotypes, which align with clinical trajectory. Prehospital thawed plasma rescues only endotype 2 patients with traumatic brain injury (30-day mortality: 30.3 versus 75.0%; p = 0.0015). Ubiquitin carboxy-terminal hydrolase L1 (UCHL1) was identified as the most predictive circulating biomarker to identify endotype 2-traumatic brain injury (TBI) patients. These response patterns refine the paradigm for human injury, while the datasets provide a resource for the study of critical illness, trauma, and human stress responses.

OriginalsprogEngelsk
Artikelnummer100478
TidsskriftCell reports. Medicine
Vol/bind2
Udgave nummer12
Sider (fra-til)100478
Antal sider23
ISSN2666-3791
DOI
StatusUdgivet - 21 dec. 2021

ID: 73043807