Evidence map›Paper›PMID 34558746›Full record

ArticleJournal of leukocyte biology2021

Dynamic changes in human single-cell transcriptional signatures during fatal sepsis.

Xinru Qiu, Jiang Li, Jeff Bonenfant, Lukasz Jaroszewski, Aarti Mittal, Walter Klein, Adam Godzik, Meera G Nair

Open access · greenAbstract read
In one paragraph

Article in Journal of leukocyte biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
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  8. Steroid hormone ouabain cooperates with NaActa pharmaceutica Sinica. B · 2026
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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Xinru QiuGraduate Program in Genetics, Genomics and Bioinformatics, University of California Riverside, Riverside, California, USA.
Jiang LiDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, California, USA.
Jeff BonenfantDivision of Pulmonary and Critical Care, Riverside University Health System Medical Center, Riverside, California, USA.
Lukasz JaroszewskiDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, California, USA.
Aarti MittalDivision of Pulmonary and Critical Care, Riverside University Health System Medical Center, Riverside, California, USA.
Walter KleinDivision of Pulmonary and Critical Care, Riverside University Health System Medical Center, Riverside, California, USA.
Adam GodzikDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, California, USA.
Meera G NairDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, California, USA.
University of California, Riverside · USRiverside University Health System - Medical Center · US

Funding

RELMalpha-expressing macrophages mediate host disease tolerance in mucosal infectionR01AI153195 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI NAIR, MEERA GOH · 2020 to 2024
$3.5M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
Human resistin regulation of inflammation and endotoxic shockR21AI137830 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI NAIR, MEERA GOH · 2018 to 2019
$427k
NIAID NIH HHS R01 AI153195NIAID NIH HHS R21 AI137830NIH HHS S10 OD026929
6 · The paper itself

Abstract

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.

Indexed as

LeukocytesAdultAgedAged, 80 and overCOVID-19FemaleGram-Negative Bacterial InfectionsHumansInflammationMaleMiddle AgedRetrospective StudiesSARS-CoV-2SepsisSingle-Cell AnalysisTranscriptomeCD52Gram-negative bacteriainflammationplateletsepsis

Identifiers

PMID34558746
PMCPMC8629881
OpenAlexW3135655003

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.