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LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS
Objective: We previously identified two transcriptomic subtypes (Signature Groups: SG1 vs. SG2) in trauma patients at 12 hours postinjury, with SG1 associated with worse outcomes. In this study, we aimed to further characterize the changes in SG subtype categorization of trauma patients over time af...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391314/ https://www.ncbi.nlm.nih.gov/pubmed/35904142 http://dx.doi.org/10.1097/SHK.0000000000001958 |
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author | Chen, Tianmeng Wei, Yue Vodovotz, Yoram Chen, Wei Billiar, Timothy R. |
author_facet | Chen, Tianmeng Wei, Yue Vodovotz, Yoram Chen, Wei Billiar, Timothy R. |
author_sort | Chen, Tianmeng |
collection | PubMed |
description | Objective: We previously identified two transcriptomic subtypes (Signature Groups: SG1 vs. SG2) in trauma patients at 12 hours postinjury, with SG1 associated with worse outcomes. In this study, we aimed to further characterize the changes in SG subtype categorization of trauma patients over time after injury and define the corresponding association with outcomes based on the timing of the subtype designation. Methods and Results: This study was a secondary analysis of published data of whole-blood leukocyte transcriptomics, a longitudinal data from 167 severe blunt trauma patients. We assigned trauma patients to SG1 or SG2 subtype for time points between 12 hours and 28 days, inclusive, postinjury and characterized their longitudinal outcomes. SG1 assignment, regardless of time point, was associated consistently with slower recovery. Further analysis revealed that additional prognostic information could be obtained by assessing SG subtype at both 12 hours and 1 day. Conclusions: This study provides a proof of concept that immune status can worsen after admission and highlights the benefit of longitudinally monitoring SG subtypes in trauma patients. |
format | Online Article Text |
id | pubmed-9391314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-93913142022-08-26 LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS Chen, Tianmeng Wei, Yue Vodovotz, Yoram Chen, Wei Billiar, Timothy R. Shock Clinical Science Aspects Objective: We previously identified two transcriptomic subtypes (Signature Groups: SG1 vs. SG2) in trauma patients at 12 hours postinjury, with SG1 associated with worse outcomes. In this study, we aimed to further characterize the changes in SG subtype categorization of trauma patients over time after injury and define the corresponding association with outcomes based on the timing of the subtype designation. Methods and Results: This study was a secondary analysis of published data of whole-blood leukocyte transcriptomics, a longitudinal data from 167 severe blunt trauma patients. We assigned trauma patients to SG1 or SG2 subtype for time points between 12 hours and 28 days, inclusive, postinjury and characterized their longitudinal outcomes. SG1 assignment, regardless of time point, was associated consistently with slower recovery. Further analysis revealed that additional prognostic information could be obtained by assessing SG subtype at both 12 hours and 1 day. Conclusions: This study provides a proof of concept that immune status can worsen after admission and highlights the benefit of longitudinally monitoring SG subtypes in trauma patients. Lippincott Williams & Wilkins 2022-07 2022-07-15 /pmc/articles/PMC9391314/ /pubmed/35904142 http://dx.doi.org/10.1097/SHK.0000000000001958 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | Clinical Science Aspects Chen, Tianmeng Wei, Yue Vodovotz, Yoram Chen, Wei Billiar, Timothy R. LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title | LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title_full | LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title_fullStr | LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title_full_unstemmed | LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title_short | LONGITUDINAL ANALYSIS OF TRANSCRIPTOMIC SUBTYPES IN TRAUMA PATIENTS |
title_sort | longitudinal analysis of transcriptomic subtypes in trauma patients |
topic | Clinical Science Aspects |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391314/ https://www.ncbi.nlm.nih.gov/pubmed/35904142 http://dx.doi.org/10.1097/SHK.0000000000001958 |
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