Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses
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1-s2.0-S2666379121003505-main.pdf
Description
Published version
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8.48 MB
Format
Adobe PDF
Checksum (MD5)
9710e83be2e45379cc514f77e74e88a5
Author(s)
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
Date Issued
2021
Journal
Cell Reports Medicine
Publisher
Elsevier BV
Citation
Wu, Junru, Vodovotz, Yoram, Abdelhamid, Sultan, Guyette, Francis X, Yaffe, Michael B et al. 2021. "Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses." Cell Reports Medicine, 2 (12).
Version
Final published version
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 1,061 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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/J.XCRM.2021.100478
