Evidence map›Paper›PMID 42292424›Full record

ReviewFrontiers in immunology2026

Immune regulation and therapeutic targets in sepsis: insights from single-cell transcriptomics.

Ruijuan Zhang, Xueping Lou, Huihui Huang, Jiaxu Zhou, Qi Dai, Zhencang Zheng

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ruijuan Zhang *Department of Critical Care Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Xueping Lou *Taizhou Hospital of Zhejiang Province, Taizhou, Zhejiang, China.
Huihui HuangCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Jiaxu ZhouCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Qi DaiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Zhencang ZhengDepartment of Critical Care Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening systemic inflammatory syndrome often associated with immune dysregulation, multi-organ dysfunction, and high mortality. In recent years, single-cell transcriptomics has generated a wealth of data on immune cell heterogeneity, lineage reprogramming, and functional states in sepsis. However, a systematic integration and summary of immune cell subsets and regulatory mechanisms are still lacking, limiting a comprehensive understanding of dynamic immune responses and potential therapeutic targets across disease progression. This review synthesizes advances from single-cell and multi-omics studies in sepsis, highlighting myeloid-biased hematopoietic stem/progenitor cell differentiation and emergency granulopoiesis, immunosuppressive features of neutrophils and MDSCs, T/NK cell exhaustion and metabolic adaptation, B cell and plasma cell reprogramming, and glial cell polarization affecting the blood-brain barrier. Key molecular mechanisms, including TLR4 acetylation, STAT3-CEBPB axis, Fu-Hp/Mincle signaling, Treg metabolism, and the kynurenine pathway, are discussed, alongside potential biomarkers and therapeutic targets such as inflammatory CD16

Indexed as

ImmunomodulationSepsisSingle-Cell AnalysisTranscriptomeAnimalsBiomarkersHumansSingle-Cell Gene Expression AnalysisBiomarkersbiomarkersimmune regulationsepsissingle-cell transcriptomicstherapeutic targets

Identifiers

PMID42292424
PMCPMC13253376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.