Evidence map›Paper›PMID 42694836›Full record

ArticleInternational journal of medical sciences2026

Integrative single-cell and bulk transcriptomic profiling identify peripheral T-cell-associated candidate biomarkers in community-acquired pneumonia.

Huachi Jiang, Xiaodong Fan, Shufang Zhou, Jia Hua, Chu Qin, Haoda Yu

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Article in International journal of medical sciences, 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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5 · Who and what money

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6 authors.

Huachi JiangDepartment of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.
Xiaodong FanDepartment of Respiratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.
Shufang ZhouDepartment of Respiratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.
Jia HuaDepartment of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.
Chu QinDepartment of Respiratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.
Haoda YuDepartment of Respiratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community-acquired pneumonia (CAP) is associated with marked immune dysregulation, but the peripheral T-cell transcriptional alterations linked to CAP remain incompletely defined. We aimed to characterize CAP-associated T-cell heterogeneity and identify candidate blood biomarkers by integrating single-cell and bulk transcriptomic data. Methods: GEO-processed whole-blood microarray expression data from 108 patients with CAP and 42 healthy controls (GSE65682), together with processed PBMC scRNA-seq data from five non-influenza CAP donors and four control donors (GSE164948), were analysed. Cell annotation, differential expression, disease contribution scoring, LASSO regression, and support vector machine-recursive feature elimination were used to identify candidate genes. Immune infiltration, enrichment, and pseudotime analyses were performed. Key findings were evaluated by qRT-PCR in PBMCs from an independent cohort of 36 CAP patients and 18 healthy controls. Results: T cells showed the highest disease contribution score and were enriched for pathways related to antigen processing, phosphorylation, and immune regulation. Four candidate biomarkers, CD8B, GZMM, MYL12B, and TUBA1A, showed differential expression between CAP and controls. CIBERSORT suggested increased eosinophils and monocytes and reduced resting CD4+ memory T cells in CAP. Pseudotime analysis indicated that CAP-associated T cells accumulated at higher inferred pseudotime values. qRT-PCR confirmed significant upregulation of these four candidate biomarkers in CAP PBMCs; FCGR2A also showed CAP-associated expression changes. Conclusions: Integrative transcriptomic profiling identified peripheral T-cell dysregulation in CAP and highlighted CD8B, GZMM, MYL12B, and TUBA1A as candidate blood biomarkers. These findings provide a basis for further multicenter validation and mechanistic studies.

Indexed as

Community-Acquired PneumoniaT-LymphocytesAgedBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptomeBiomarkersbiomarkerscommunity-acquired pneumoniaperipheral blood mononuclear cellssingle-cell RNA sequencingtranscriptomics

Identifiers

PMID42694836
PMCPMC13539919

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