Evidence map›Paper›PMID 41268561›Full record

ReviewFrontiers in immunology2025

Decoding immune low-response states in sepsis: single-cell and 3D spatial transcriptomic insights into immunoparalysis.

Yulian Yang, Yi Zhang, Jingjing Wu, Yi Liu, Xianying Lei

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Yulian YangDepartment of Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Yi ZhangDepartment of Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Jingjing WuDepartment of Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Yi LiuDepartment of Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xianying LeiDepartment of Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis remains a leading cause of critical illness worldwide. Despite advances in supportive care, durable benefit from immune-directed therapies is limited, reflecting heterogeneity with immune low-response states ('immunoparalysis') across innate and adaptive compartments. In this review we summarize advances from single-cell RNA and ATAC profiling, immune-repertoire assays and 3D spatial transcriptomics that resolve monocyte, dendritic-cell (cDC1, cDC2 and pDC), lymphocyte and NK-cell programs, and appraise translational opportunities spanning endotype-guided risk stratification, pharmacodynamic monitoring and spatial biomarkers. We also discuss enduring challenges-including assay standardization, harmonized thresholds for monocyte HLA-DR and whole-blood stimulation, and limited availability of clinically compatible spatial platforms-that temper implementation. By integrating bedside function (HLA-DR trajectories, LPS-induced cytokine capacity) with single-cell endotypes (MS1/HLA-DR^low S100A^high monocytes, dendritic-cell attrition, checkpoint-biased T cells) and host-pathogen topology from FFPE-ready spatial assays, emerging strategies aim to restore antigen presentation, reconstitute priming, disrupt inhibitory myeloid-lymphoid circuits and prevent secondary infection. Our synthesis provides an appraisal of the evolving landscape of immunoparalysis-informed precision medicine in sepsis and outlines pragmatic standards for composite biomarkers, patient selection and on-therapy decision rules. We hope these insights will assist investigators and clinicians as they endeavor to convert descriptive immune low-response states into tractable, reversible clinical entities.

Indexed as

Immune ToleranceSepsisSingle-Cell AnalysisTranscriptomeAnimalsBiomarkersDendritic CellsGene Expression ProfilingHumansMonocytesBiomarkersendotoxin toleranceimmune low-response statesimmunoparalysismonocyte HLA-DRsepsissingle-cell RNA sequencing

Identifiers

PMID41268561
PMCPMC12626914

What Socratic 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 Socratic graph.