Transcriptional profiles predict treatment outcome in patients with tuberculosis and diabetes at diagnosis and at two weeks after initiation of anti-tuberculosis treatment.

van Doorn, Cassandra LR; Eckold, Clare; Ronacher, Katharina; Ruslami, Rovina; van Veen, Suzanne; Lee, Ji-Sook; Kumar, Vinod; Kerry-Barnard, Sarah; Malherbe, Stephanus T; Kleynhans, Léanie; +14 more... Stanley, Kim; Hill, Philip C; Joosten, Simone A; van Crevel, Reinout; Wijmenga, Cisca; Critchley, Julia A; Walzl, Gerhard; Alisjahbana, Bachti; Haks, Mariëlle C; Dockrell, Hazel M; Ottenhoff, Tom HM; Vianello, Eleonora; Cliff, Jacqueline M; TANDEM Consortium; (2022) Transcriptional profiles predict treatment outcome in patients with tuberculosis and diabetes at diagnosis and at two weeks after initiation of anti-tuberculosis treatment. EBioMedicine, 82. 104173-. ISSN 2352-3964 DOI: https://doi.org/10.1016/j.ebiom.2022.104173

Permanent Identifier

Use this Digital Object Identifier when citing or linking to this resource.

https://doi.org/10.1016/j.ebiom.2022.104173

Abstract

Item Type Article
Faculty and Department Faculty of Infectious and Tropical Diseases > Department of Infection Biology
Research Centre TB Centre
PubMed ID 35841871
Elements ID 181359

Share

Download

Filename: Doorn_etal_2022_Transcriptional-profiles-predict-treatment-outcome.pdf

Licence: Creative Commons: Attribution 4.0

Download
[img]

Downloads

View details

Metrics & Citations


Google Scholar