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. 2021 Aug;21(8):1066.
doi: 10.1016/S1473-3099(21)00337-6.

Pathogen-free diagnosis of tuberculosis

Jan Heyckendorf  1 , Maja Reimann  2 , Sebastian Marwitz  3 , Christoph Lange  4 ; DZIF-TB cohort study group
Collaborators, Affiliations

Pathogen-free diagnosis of tuberculosis

Jan Heyckendorf et al. Lancet Infect Dis. 2021 Aug.
No abstract available

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Conflict of interest statement

This work is supported by the German Center for Infection Research (DZIF). CL reports personal fees from Chiesi, Gilead, Janssen, Lucane, Novartis, Oxoid, Berlin Chemie, Thermo Fisher, and Oxford Immunotec outside the submitted work. All other authors declare no competing interests. The Research Center Borstel filed TB22 for patenting (EP20158652.6). Members of the DZIF-TB cohort study group are listed in the appendix (pp 1–3).

References

    1. Heyckendorf J, Marwitz S, Reimann M, et al. Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model. Eur Respir J 2021; published online Feb 11. 10.1183/13993003.03492-2020. - DOI - PMC - PubMed
    1. Hoang LT, Jain P, Pillay TD, et al. Transcriptomic signatures for diagnosing tuberculosis in clinical practice: a prospective, multicentre cohort study. Lancet Infect Dis 2021; 21: 366–75. - PMC - PubMed
    1. Scriba TJ, Fiore-Gartland A, Penn-Nicholson A, et al. Biomarker-guided tuberculosis preventive therapy (CORTIS): a randomised controlled trial. Lancet Infect Dis 2021; 21: 354–65. - PMC - PubMed
    1. Darboe F, Mbandi SK, Thompson EG, et al. Diagnostic performance of an optimized transcriptomic signature of risk of tuberculosis in cryopreserved peripheral blood mononuclear cells. Tuberculosis (Edinb) 2018; 108: 124–26. - PubMed

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