Journal Article DZNE-2025-01254

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Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis.

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2025
Springer Nature [London]

Nature Communications 16(1), 9662 () [10.1038/s41467-025-65561-x]

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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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Contributing Institute(s):
  1. Clinical Single Cell Omics (CSCO) / Systems Medicine (AG Schultze)
  2. Immunogenomics and Neurodegeneration (AG Beyer)
Research Program(s):
  1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)
  2. 351 - Brain Function (POF4-351) (POF4-351)

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Medline ; Creative Commons Attribution CC BY (No Version) ; DOAJ ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 15 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Schultze
Institute Collections > BN DZNE > BN DZNE-AG Beyer
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 Record created 2025-11-12, last modified 2025-11-12


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