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 release of 1,...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715070/
https://www.ncbi.nlm.nih.gov/pubmed/35028617
http://dx.doi.org/10.1016/j.xcrm.2021.100478

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