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

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

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 rel...

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Bibliographic Details
Main Authors: Wu, Junru, Vodovotz, Yoram, Abdelhamid, Sultan, Guyette, Francis X, Yaffe, Michael B, Gruen, Danielle S, Cyr, Anthony, Okonkwo, David O, Kar, Upendra K, Krishnamoorthi, Neha, Voinchet, Robert G, Billiar, Isabel M, Yazer, Mark H, Namas, Rami A, Daley, Brian J, Miller, Richard S, Harbrecht, Brian G, Claridge, Jeffrey A, Phelan, Herbert A, Zuckerbraun, Brian S, Johansson, Pär I, Stensballe, Jakob, Morrissey, James H, Tracy, Russell P, Wisniewski, Stephen R, Neal, Matthew D, Sperry, Jason L, Billiar, Timothy R
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: Elsevier BV 2023
Online Access:https://hdl.handle.net/1721.1/147022

Internet

https://hdl.handle.net/1721.1/147022

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