ArticleNature communications2025
Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Compartment-specific inflammation in tuberculous lymphadenitis: a case-control study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Identification of a novel PANoptosis-associated prognostic signature and immune landscape analysis in neuroblastoma with experimental validation.Frontiers in immunology · 2026Article
- The role of long non-coding RNA HCP5 in ulcerative cutaneous tuberculosis therapy introduction.Frontiers in cellular and infection microbiology · 2026Article
- Case Report: Single-cell metabolic labeling probe for diagnosing renal tuberculosis.Frontiers in medicine · 2026Article
- Host- and pathogen-related determinants of pulmonaryEuropean respiratory review : an official journal of the European Respiratory Society · 2026Review
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our understanding of the immune response in tuberculosis (TB) remains incomplete. This applies in particular to extrapulmonary TB (EPTB), a highly heterogeneous disease affecting up to 30% of patients in certain regions. Based on data-driven clustering of blood transcriptomes in an EPTB patient cohort, we define three highly distinct immunotypes. Combining bulk with single-cell RNA-sequencing delineates immunological trajectories characterized by dynamic IFN- and IL-1-mediated signalling in monocytes, alongside hyperactivation of T and NK cells, ultimately resulting in extensive immune dysregulation. Integrative analysis of multi-omics data provides deep insights into different layers of the anti-tuberculous immune response and the identification of immunotypes enabling stratification strategies for personalized host-directed treatments. In addition, our comprehensive approach helps to develop an accurate diagnostic gene expression signature for both EPTB and pulmonary TB highlighting the translational potential of our data.
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