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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2023
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| Online Access: | https://hdl.handle.net/1721.1/147022 |
| _version_ | 1826216467218038784 |
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| author | 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 |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology 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 |
| author_sort | Wu, Junru |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:48:10Z |
| format | Article |
| id | mit-1721.1/147022 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:48:10Z |
| publishDate | 2023 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1470222023-01-10T03:01:41Z Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses 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 Massachusetts Institute of Technology. Department of Biology 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. 2023-01-09T18:13:18Z 2023-01-09T18:13:18Z 2021 2023-01-09T18:09:00Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/147022 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). en 10.1016/J.XCRM.2021.100478 Cell Reports Medicine Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Elsevier |
| spellingShingle | 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 Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title | Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title_full | Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title_fullStr | Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title_full_unstemmed | Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title_short | Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses |
| title_sort | multi omic analysis in injured humans patterns align with outcomes and treatment responses |
| url | https://hdl.handle.net/1721.1/147022 |
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