The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion

We identified and validated a whole blood-based RNA signature (TB27) that demonstrates an excellent agreement between predicted and observed times to <i>M. tuberculosis</i> culture conversion during tuberculosis therapy. TB27 is a potential useful biomarker for anti-tuberculosis drug development and for prediction of treatment responses in clinical practice.

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Publication Details

Journal
Pathogens and Immunity
Published
2025-01-29
DOI
https://doi.org/10.20411/pai.v10i1.770
Citations
4
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
5.42

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article

The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion

Stefan H. E. Kaufmann, Maren Schuhmann, Korkut Avsar, Patricia Sanchez‐Carballo et al.
4 citations
Pathogens and Immunity
Mycobacterium research and diagnosis
5.42
article

The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion

Stefan H. E. Kaufmann, Maren Schuhmann, Korkut Avsar, Patricia Sanchez‐Carballo, Niklas Köhler, Florian P. Maurer, Thierry Rolling, Dörte Nitschkowski, Michael Höelscher, Nika Zielinski, Anna M. Mandalakas, Ioana D. Olaru, Jan Heyckendorf, Gunar Günther, Marius Müller, Christoph Lange, Dagmar Schaub, Markus Unnewehr, Barbara Kalsdorf, Elena Terhalle, Andrew R. DiNardo, Maja Reimann, Helmut J.F. Salzer, Torsten Goldmann, Elmira Ibraim, Cristina Popa, Andrea Rachow, Victor Spînu
article en
4 citations

Abstract

We identified and validated a whole blood-based RNA signature (TB27) that demonstrates an excellent agreement between predicted and observed times to <i>M. tuberculosis</i> culture conversion during tuberculosis therapy. TB27 is a potential useful biomarker for anti-tuberculosis drug development and for prediction of treatment responses in clinical practice.

Pathogens and ImmunityVol. 10(1)
Roche (Switzerland) (CH), Johannes Kepler University of Linz (AT), Radboud University Nijmegen (NL), Witten/Herdecke University (DE), Universität Hamburg (DE), University of Konstanz (DE), University of Namibia (NA), University of Münster (DE), University Hospital of Bern (CH), Radboud University Medical Center (NL), Helmholtz Zentrum München (DE), LMU Klinikum (DE), Christian-Albrechts-Universität zu Kiel (DE), Humboldt-Universität zu Berlin (DE), Institute for Advanced Study (US), Max Planck Institute for Infection Biology (DE), Katharinenhospital (DE), London School of Hygiene & Tropical Medicine (GB), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), University Medical Center Hamburg-Eppendorf (DE), University Hospital Schleswig-Holstein (DE), German Center for Infection Research (DE), Kepler Universitätsklinikum (AT), Institutul de Pneumoftiziologie "Marius Nasta" (RO), Asklepios Fachkliniken München-Gauting (DE), Research Center Borstel - Leibniz Lung Center (DE), German Center for Lung Research (DE), BioNTech (Germany) (DE), Klinikum Konstanz (DE), Texas Children's Hospital (US), Max Planck Institute for Multidisciplinary Sciences (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE), Texas A&M University (US), University of Lübeck (DE)
Deutsches Zentrum für Infektionsforschung
Good health and well-being
Openalex Percentile: Top 5%
Mycobacterium research and diagnosis
5.42
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