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@ARTICLE{Theobald:281912,
      author       = {Theobald, Sebastian J and Dahm, Kilian and Lange, Dinah and
                      Spintge, Jannis Sebastian and Winter, Sandra and
                      Klingmüller, Angela and Holsten, Lisa and Simonis,
                      Alexander and De Domenico, Elena and Walczak, Henning and
                      van Uelft, Martina and Schultze, Joachim L and Beyer, Marc D
                      and Ulas, Thomas and Suárez, Isabelle and Rybniker, Jan},
      title        = {{D}eep immune profiling delineates hallmarks of disease
                      heterogeneity in extrapulmonary tuberculosis.},
      journal      = {Nature Communications},
      volume       = {16},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {DZNE-2025-01254},
      pages        = {9662},
      year         = {2025},
      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.},
      cin          = {AG Schultze / AG Beyer},
      ddc          = {500},
      cid          = {I:(DE-2719)1013038 / I:(DE-2719)1013035},
      pnm          = {354 - Disease Prevention and Healthy Aging (POF4-354) / 351
                      - Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-354 / G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41213960},
      doi          = {10.1038/s41467-025-65561-x},
      url          = {https://pub.dzne.de/record/281912},
}