Single-cell RNA sequencing reveals immune cell dysfunction and rewired interaction networks in the peripheral blood of active tuberculosis patients.

Single-cell RNA sequencing reveals immune cell dysfunction and rewired interaction networks in the peripheral blood of active tuberculosis patients.

Publication date: Nov 28, 2025

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a global health threat with poorly understood immune mechanisms. This exploratory study employed single-cell RNA sequencing (scRNA-seq) on peripheral blood mononuclear cells (PBMCs) from 3 active TB (ATB) patients and 2 healthy controls (HC) to dissect immune cell dysfunction and communication networks. Data were processed using CellRanger, Seurat, and Harmony for quality control, batch correction, and clustering, with cell types annotated via marker genes and SingleR. Functional analyses included cytotoxicity, antigen presentation scoring, differential gene expression, and Gene Ontology (GO) enrichment, while CellChat mapped ligand-receptor interactions. Results revealed altered immune cell composition in ATB, including increased myeloid cells/platelets and reduced NK cells. CD8 + effector T cells (CD8_Te) and CD16bright CD56dim NK cells (NK_CD56dim) exhibited reduced expression of cytotoxicity-associated genes, while NacEFve B cells (NacEFve_B)and dendritic cells(DC) showed impaired antigen presentation. RNA metabolism pathways were upregulated alongside suppressed immune regulation. Cell communication analysis identified weakened CD8 + T cell incoming signals, enhanced B/NK cell signaling, and intensified monocyte-driven interactions. TGF-β pathway enrichment and defective MHC signaling disrupted network dynamics, suggesting RNA metabolism dysregulation and TGF-β-mediated immunosuppression as key mechanisms. These findings provide insights that may help inform future studies on TB immunopathology and treatment development. Limitations include reliance on peripheral blood, small sample size, and lack of protein-level validation. Future studies should integrate multi-omics and functional assays to validate these pathways. The online version contains supplementary material available at 10. 1186/s12865-025-00780-x.

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Concepts Keywords
Immunosuppression Immune cells
Mycobacterium Single-cell sequencing
Nk_cd56dim Tuberculosis
Tuberculosis
Upregulated

Semantics

Type Source Name
disease MESH tuberculosis
pathway KEGG Tuberculosis
disease MESH included
pathway REACTOME Ligand-receptor interactions
drug DRUGBANK Dihydrotachysterol
pathway REACTOME Reproduction
disease MESH Emergency
disease MESH Pulmonary Diseases
pathway REACTOME Metabolism
disease MESH infection
disease MESH death
pathway REACTOME Immune System
drug DRUGBANK BCG vaccine
drug DRUGBANK Indoleacetic acid
drug DRUGBANK Polyethylene glycol
disease MESH pulmonary tuberculosis
disease MESH autoimmune diseases
disease MESH malignancies
drug DRUGBANK Edetic Acid
disease MESH PBS
drug DRUGBANK Chromium
drug DRUGBANK Tobramycin
drug DRUGBANK Pidolic Acid
disease MESH PCA
disease MESH SNE
drug DRUGBANK Methionine
drug DRUGBANK Trestolone
pathway KEGG Purine metabolism
drug DRUGBANK Hyaluronic acid
drug DRUGBANK Coenzyme M
drug DRUGBANK Carboxyamidotriazole
disease MESH mitochondrial dysfunction
drug DRUGBANK Isoxaflutole
drug DRUGBANK Glutathione
disease MESH Dis
disease MESH latent tuberculosis infection
disease MESH Gan
drug DRUGBANK Guanosine
disease MESH COVID 19
drug DRUGBANK (S)-Des-Me-Ampa
disease MESH pleural effusion
disease MESH THM
pathway KEGG Phagosome
pathway KEGG Lysosome
disease MESH Chai
disease MESH pulmonary fibrosis
pathway REACTOME Apoptosis

Original Article

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