Evidence map›Paper›PMID 42661799›Full record

ArticleFrontiers in cellular and infection microbiology2026

Single-cell transcriptomic profiling of cerebrospinal fluid reveals immune-cell heterogeneity and multicompartment MIF/CD74-related communication in tuberculous and purulent meningitis.

Haoyang Hu, Lei Hou, Yan Wang, Zekai Yu, Jiatang Zhang, Fei Yang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.

Haoyang Hu *Department of Neurology, The First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing, China.
Lei Hou *Department of Neurology, The First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing, China.
Yan Wang *Department of Neurology, The First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing, China.
Zekai YuSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
Jiatang ZhangDepartment of Neurology, The First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing, China.
Fei YangDepartment of Neurology, The First Medical Centre, Chinese People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculous meningitis (TBM) is a severe central nervous system infection in which dysregulated host inflammation contributes to neurological injury. The cellular organization of the cerebrospinal fluid (CSF) immune microenvironment in TBM, particularly in comparison with other inflammatory meningitis conditions, remains incompletely defined. This study characterized CSF immune-cell heterogeneity in TBM and purulent meningitis (PM) using single-cell transcriptomic profiling. Methods: Pre-treatment CSF immune cells from five patients with TBM and five patients with PM were profiled using 10x Genomics single-cell RNA sequencing. After quality control, ambient RNA assessment, and doublet filtering, 96,594 cells were retained. Major immune-cell populations and myeloid and granulocyte subclusters were annotated using canonical lineage markers and cluster-specific marker genes, with additional evaluation of doublet-related quality-control metrics and ambient RNA estimates. Immune-cell composition, CD4 Results: Seven major CSF immune-cell populations were identified, including CD4 Conclusions: This study provides a donor-aware single-cell transcriptomic atlas of the inflammatory CSF immune microenvironment in TBM and PM. The findings highlight substantial inter-individual heterogeneity, broad innate immune-cell patterns, overlapping CD4

Indexed as

Antigens, Differentiation, B-LymphocyteCerebrospinal FluidHistocompatibility Antigens Class IIMacrophage Migration-Inhibitory FactorsTuberculosis, MeningealCD4-Positive T-LymphocytesGene Expression ProfilingHumansIntramolecular OxidoreductasesMycobacterium tuberculosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomeAntigens, Differentiation, B-LymphocyteHistocompatibility Antigens Class IIIntramolecular Oxidoreductasesinvariant chainMacrophage Migration-Inhibitory FactorsMIF protein, humanCD4+ T cellsCD74cerebrospinal fluidMIFpurulent meningitissingle-cell RNA sequencingtuberculous meningitis

Identifiers

PMID42661799
PMCPMC13518202

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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.