Literature DB >> 32066974

An immune-cell signature of bacterial sepsis.

Miguel Reyes1,2, Michael R Filbin1,3, Roby P Bhattacharyya1,4, Kianna Billman1, Thomas Eisenhaure1, Deborah T Hung1,5, Bruce D Levy5, Rebecca M Baron5, Paul C Blainey6,7, Marcia B Goldberg8,9, Nir Hacohen10,11.   

Abstract

Dysregulation of the immune response to bacterial infection can lead to sepsis, a condition with high mortality. Multiple whole-blood gene-expression studies have defined sepsis-associated molecular signatures, but have not resolved changes in transcriptional states of specific cell types. Here, we used single-cell RNA-sequencing to profile the blood of people with sepsis (n = 29) across three clinical cohorts with corresponding controls (n = 36). We profiled total peripheral blood mononuclear cells (PBMCs, 106,545 cells) and dendritic cells (19,806 cells) across all subjects and, on the basis of clustering of their gene-expression profiles, defined 16 immune-cell states. We identified a unique CD14+ monocyte state that is expanded in people with sepsis and validated its power in distinguishing these individuals from controls using public transcriptomic data from subjects with different disease etiologies and from multiple geographic locations (18 cohorts, n = 1,467 subjects). We identified a panel of surface markers for isolation and quantification of the monocyte state and characterized its epigenomic and functional phenotypes, and propose a model for its induction from human bone marrow. This study demonstrates the utility of single-cell genomics in discovering disease-associated cytologic signatures and provides insight into the cellular basis of immune dysregulation in bacterial sepsis.

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Year:  2020        PMID: 32066974      PMCID: PMC7235950          DOI: 10.1038/s41591-020-0752-4

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  45 in total

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Review 2.  Toward Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and Acute Respiratory Distress Syndrome Clinical Trial Design.

Authors:  Hallie C Prescott; Carolyn S Calfee; B Taylor Thompson; Derek C Angus; Vincent X Liu
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3.  Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters.

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Journal:  Crit Care Med       Date:  2014-07       Impact factor: 7.598

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Authors:  Timothy E Sweeney; Purvesh Khatri
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

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Authors:  Craig M Coopersmith; Daniel De Backer; Clifford S Deutschman; Ricard Ferrer; Ishaq Lat; Flavia R Machado; Greg S Martin; Ignacio Martin-Loeches; Mark E Nunnally; Massimo Antonelli; Laura E Evans; Judith Hellman; Sameer Jog; Jozef Kesecioglu; Mitchell M Levy; Andrew Rhodes
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10.  Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study.

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Journal:  Lancet Respir Med       Date:  2016-02-23       Impact factor: 102.642

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Review 6.  Role of Inflammatory Cytokines in COVID-19 Patients: A Review on Molecular Mechanisms, Immune Functions, Immunopathology and Immunomodulatory Drugs to Counter Cytokine Storm.

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Review 8.  Multi-Omics Approaches in Immunological Research.

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