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A road map from single-cell transcriptome to patient classification for the immune response to trauma

Authors :
Tianmeng Chen
Matthew J. Delano
Kong Chen
Jason L. Sperry
Rami A. Namas
Ashley J. Lamparello
Meihong Deng
Julia Conroy
Lyle L. Moldawer
Philip A. Efron
Patricia Loughran
Christopher Seymour
Derek C. Angus
Yoram Vodovotz
Wei Chen
Timothy R. Billiar
Source :
JCI Insight, Vol 6, Iss 2 (2021)
Publication Year :
2021
Publisher :
American Society for Clinical investigation, 2021.

Abstract

Immune dysfunction is an important factor driving mortality and adverse outcomes after trauma but remains poorly understood, especially at the cellular level. To deconvolute the trauma-induced immune response, we applied single-cell RNA sequencing to circulating and bone marrow mononuclear cells in injured mice and circulating mononuclear cells in trauma patients. In mice, the greatest changes in gene expression were seen in monocytes across both compartments. After systemic injury, the gene expression pattern of monocytes markedly deviated from steady state with corresponding changes in critical transcription factors, which can be traced back to myeloid progenitors. These changes were largely recapitulated in the human single-cell analysis. We generalized the major changes in human CD14+ monocytes into 6 signatures, which further defined 2 trauma patient subtypes (SG1 vs. SG2) identified in the whole-blood leukocyte transcriptome in the initial 12 hours after injury. Compared with SG2, SG1 patients exhibited delayed recovery, more severe organ dysfunction, and a higher incidence of infection and noninfectious complications. The 2 patient subtypes were also recapitulated in burn and sepsis patients, revealing a shared pattern of immune response across critical illness. Our data will be broadly useful to further explore the immune response to inflammatory diseases and critical illness.

Subjects

Subjects :
Immunology
Inflammation
Medicine

Details

Language :
English
ISSN :
23793708
Volume :
6
Issue :
2
Database :
Directory of Open Access Journals
Journal :
JCI Insight
Publication Type :
Academic Journal
Accession number :
edsdoj.87caa1bd944fb59beac3cbabf37d4a
Document Type :
article
Full Text :
https://doi.org/10.1172/jci.insight.145108