TY - JOUR
T1 - The independent prognostic value of global epigenetic alterations
T2 - An analysis of single-cell ATAC-seq of circulating leukocytes from trauma patients followed by validation in whole blood leukocyte transcriptomes across three etiologies of critical illness
AU - Chen, Tianmeng
AU - Conroy, Julia
AU - Wang, Xinjun
AU - Situ, Michelle
AU - Namas, Rami A.
AU - Vodovotz, Yoram
AU - Chen, Wei
AU - Singh, Harinder
AU - Billiar, Timothy R.
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/2
Y1 - 2022/2
N2 - Background: While bulk and single cell transcriptomic patterns in circulating leukocytes from trauma patients have been reported, how these relate to changes in open chromatin patterns remain unstudied. Here, we investigated whether single-cell ATAC-seq would provide further resolution of transcriptomic patterns that align with patient outcomes. Methods: We performed scATAC-seq on peripheral blood mononuclear cells from four trauma patients at <4 h, 24 h, 72 h post-injury and four matched healthy controls, and extracted the features associated with the global epigenetic alterations. Three large-scale bulk transcriptomic datasets from trauma, burn and sepsis patients were used to validate the scATAC-seq derived signature, explore patient epigenetic heterogeneity (Epigenetic Groups: EG_hi vs. EG_lo), and associate patterns with clinical outcomes in critical illness. Findings: Patient subsets with gene expression patterns in blood leukocytes representative of a high global epigenetic signature (EG_hi) had worse outcomes across three etiologies of critical illness. EG_hi designation contributed independent of the known immune leukocyte transcriptomic responses to patient prognosis (Trauma: HR=0.62 [95% CI: 0.43–0.89, event set as recovery], p=0.01, n=167; Burns: HR=4.35 [95% CI: 0.816–23.2, event set as death], p=0.085, n=121; Sepsis: HR=1.60 [95% CI: 1.10–2.33, event set as death], p=0.013, n=479; Cox proportional hazards regression). Interpretation: The inclusion of gene expression patterns that associate with global epigenetic changes in circulating leukocytes improves the resolution of transcriptome-based patient classification in acute critical illnesses. Early detection of both the global epigenetic signature and the known immune transcriptomic patterns associates with the worse prognosis in trauma, burns and sepsis.
AB - Background: While bulk and single cell transcriptomic patterns in circulating leukocytes from trauma patients have been reported, how these relate to changes in open chromatin patterns remain unstudied. Here, we investigated whether single-cell ATAC-seq would provide further resolution of transcriptomic patterns that align with patient outcomes. Methods: We performed scATAC-seq on peripheral blood mononuclear cells from four trauma patients at <4 h, 24 h, 72 h post-injury and four matched healthy controls, and extracted the features associated with the global epigenetic alterations. Three large-scale bulk transcriptomic datasets from trauma, burn and sepsis patients were used to validate the scATAC-seq derived signature, explore patient epigenetic heterogeneity (Epigenetic Groups: EG_hi vs. EG_lo), and associate patterns with clinical outcomes in critical illness. Findings: Patient subsets with gene expression patterns in blood leukocytes representative of a high global epigenetic signature (EG_hi) had worse outcomes across three etiologies of critical illness. EG_hi designation contributed independent of the known immune leukocyte transcriptomic responses to patient prognosis (Trauma: HR=0.62 [95% CI: 0.43–0.89, event set as recovery], p=0.01, n=167; Burns: HR=4.35 [95% CI: 0.816–23.2, event set as death], p=0.085, n=121; Sepsis: HR=1.60 [95% CI: 1.10–2.33, event set as death], p=0.013, n=479; Cox proportional hazards regression). Interpretation: The inclusion of gene expression patterns that associate with global epigenetic changes in circulating leukocytes improves the resolution of transcriptome-based patient classification in acute critical illnesses. Early detection of both the global epigenetic signature and the known immune transcriptomic patterns associates with the worse prognosis in trauma, burns and sepsis.
KW - Burns
KW - Critical care
KW - Patient classification
KW - Sepsis
KW - Single-cell ATAC-seq
KW - Trauma
UR - http://www.scopus.com/inward/record.url?scp=85123919033&partnerID=8YFLogxK
U2 - 10.1016/j.ebiom.2022.103860
DO - 10.1016/j.ebiom.2022.103860
M3 - Article
C2 - 35124428
AN - SCOPUS:85123919033
SN - 2352-3964
VL - 76
JO - eBioMedicine
JF - eBioMedicine
M1 - 103860
ER -