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The independent prognostic value of global epigenetic alterations: 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
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 transcript...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822299/ https://www.ncbi.nlm.nih.gov/pubmed/35124428 http://dx.doi.org/10.1016/j.ebiom.2022.103860 |
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author | Chen, Tianmeng Conroy, Julia Wang, Xinjun Situ, Michelle Namas, Rami A. Vodovotz, Yoram Chen, Wei Singh, Harinder Billiar, Timothy R. |
author_facet | Chen, Tianmeng Conroy, Julia Wang, Xinjun Situ, Michelle Namas, Rami A. Vodovotz, Yoram Chen, Wei Singh, Harinder Billiar, Timothy R. |
author_sort | Chen, Tianmeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8822299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88222992022-02-11 The independent prognostic value of global epigenetic alterations: 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 Chen, Tianmeng Conroy, Julia Wang, Xinjun Situ, Michelle Namas, Rami A. Vodovotz, Yoram Chen, Wei Singh, Harinder Billiar, Timothy R. EBioMedicine Articles 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. Elsevier 2022-02-03 /pmc/articles/PMC8822299/ /pubmed/35124428 http://dx.doi.org/10.1016/j.ebiom.2022.103860 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Chen, Tianmeng Conroy, Julia Wang, Xinjun Situ, Michelle Namas, Rami A. Vodovotz, Yoram Chen, Wei Singh, Harinder Billiar, Timothy R. The independent prognostic value of global epigenetic alterations: 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 |
title | The independent prognostic value of global epigenetic alterations: 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 |
title_full | The independent prognostic value of global epigenetic alterations: 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 |
title_fullStr | The independent prognostic value of global epigenetic alterations: 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 |
title_full_unstemmed | The independent prognostic value of global epigenetic alterations: 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 |
title_short | The independent prognostic value of global epigenetic alterations: 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 |
title_sort | independent prognostic value of global epigenetic alterations: 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 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822299/ https://www.ncbi.nlm.nih.gov/pubmed/35124428 http://dx.doi.org/10.1016/j.ebiom.2022.103860 |
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