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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Автори: 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
Інші автори: Massachusetts Institute of Technology. Department of Biology
Формат: Стаття
Мова:English
Опубліковано: Elsevier BV 2023
Онлайн доступ:https://hdl.handle.net/1721.1/147022

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