LONGITUDINAL ANALYSIS of TRANSCRIPTOMIC SUBTYPES in TRAUMA PATIENTS

Tianmeng Chen, Yue Wei, Yoram Vodovotz, Wei Chen, Timothy R. Billiar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)34-37
Number of pages4
JournalShock
Volume58
Issue number1
DOIs
StatePublished - 1 Jul 2022
Externally publishedYes

Keywords

  • Longitudinal
  • prognosis
  • subtype
  • transcriptome
  • trauma

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