Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

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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Publication Details

Journal
Nature Communications
Published
2025-11-10
DOI
https://doi.org/10.1038/s41467-025-65561-x
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79
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article

Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

Thomas Ulas, Lisa Holsten, Marc Beyer, Jan Rybniker et al.
2 citations
Nature Communications
Tuberculosis Research and Epidemiology
2.79
article

Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis

Thomas Ulas, Lisa Holsten, Marc Beyer, Jan Rybniker, Elena De Domenico, Alexander Simonis, K. Dahm, Angela Klingmüller, Sebastian J. Theobald, Martina van Uelft, Sandra Winter, Joachim L. Schultze, Isabelle Suárez, Henning Walczak, Jannis Bastian Spintge, Dinah Lange
article en
2 citations

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.

Nature CommunicationsVol. 16(1)
University of Bonn (DE), University of Cologne (DE), German Center for Neurodegenerative Diseases (DE), German Center for Infection Research (DE), Universitätsklinikum Würzburg (DE), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), CRUK Lung Cancer Centre of Excellence (GB), University Hospital Cologne (DE), University College London (GB)
Openalex Percentile: Top 8%
Tuberculosis Research and Epidemiology
2.79
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