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| 100 | 1 | _ | |a Theobald, Sebastian J |b 0 |
| 245 | _ | _ | |a Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis. |
| 260 | _ | _ | |a [London] |c 2025 |b Springer Nature |
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| 520 | _ | _ | |a 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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| 700 | 1 | _ | |a Lange, Dinah |0 0000-0002-2933-2143 |b 2 |
| 700 | 1 | _ | |a Spintge, Jannis Sebastian |0 P:(DE-2719)9001907 |b 3 |u dzne |
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