Dynamic changes in human single-cell transcriptional signatures during fatal sepsis.
CD52
Gram-negative bacteria
inflammation
platelet
sepsis
Journal
Journal of leukocyte biology
ISSN: 1938-3673
Titre abrégé: J Leukoc Biol
Pays: England
ID NLM: 8405628
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
revised:
30
07
2021
received:
10
02
2021
accepted:
03
09
2021
pubmed:
25
9
2021
medline:
15
12
2021
entrez:
24
9
2021
Statut:
ppublish
Résumé
Systemic infections, especially in patients with chronic diseases, may result in sepsis: an explosive, uncoordinated immune response that can lead to multisystem organ failure with a high mortality rate. Patients with similar clinical phenotypes or sepsis biomarker expression upon diagnosis may have different outcomes, suggesting that the dynamics of sepsis is critical in disease progression. A within-subject study of patients with Gram-negative bacterial sepsis with surviving and fatal outcomes was designed and single-cell transcriptomic analyses of peripheral blood mononuclear cells (PBMC) collected during the critical period between sepsis diagnosis and 6 h were performed. The single-cell observations in the study are consistent with trends from public datasets but also identify dynamic effects in individual cell subsets that change within hours. It is shown that platelet and erythroid precursor responses are drivers of fatal sepsis, with transcriptional signatures that are shared with severe COVID-19 disease. It is also shown that hypoxic stress is a driving factor in immune and metabolic dysfunction of monocytes and erythroid precursors. Last, the data support CD52 as a prognostic biomarker and therapeutic target for sepsis as its expression dynamically increases in lymphocytes and correlates with improved sepsis outcomes. In conclusion, this study describes the first single-cell study that analyzed short-term temporal changes in the immune cell populations and their characteristics in surviving or fatal sepsis. Tracking temporal expression changes in specific cell types could lead to more accurate predictions of sepsis outcomes and identify molecular biomarkers and pathways that could be therapeutically controlled to improve the sepsis trajectory toward better outcomes.
Identifiants
pubmed: 34558746
doi: 10.1002/JLB.5MA0721-825R
pmc: PMC8629881
mid: NIHMS1739307
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1253-1268Subventions
Organisme : NIAID NIH HHS
ID : R01 AI153195
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI137830
Pays : United States
Organisme : NIH HHS
ID : S10 OD026929
Pays : United States
Informations de copyright
©2021 Society for Leukocyte Biology.
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