Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses

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

doi:10.1016/j.xcrm.2021.100478

Public

Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses

Published in Cell Reports Medicine • Dec 1, 2021

Authors:

Junru Wu

Yoram Vodovotz

Sultan Abdelhamid

Abstract

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,...

Subject

Metabolome

Biomarker

Medicine

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