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Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity

Eckold, C; van Doorn, CLR; Ruslami, R; Ronacher, K; Riza, A-L; van Veen, S; Lee, J-S; Kumar, V; Kerry-Barnard, S; Malherbe, ST; et al. Eckold, C; van Doorn, CLR; Ruslami, R; Ronacher, K; Riza, A-L; van Veen, S; Lee, J-S; Kumar, V; Kerry-Barnard, S; Malherbe, ST; Kleynhans, L; Stanley, K; Joosten, SA; Critchley, J; Hill, PC; van Crevel, R; Wijmenga, C; Haks, MC; Ioana, M; Alisjahbana, B; Walzl, G; Ottenhoff, THM; Dockrell, HM; Vianello, E; Cliff, JM; the TANDEM Consortium (2023) Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity. Clinical and Translational Medicine, 13 (9). e1375. ISSN 2001-1326 https://doi.org/10.1002/ctm2.1375
SGUL Authors: Critchley, Julia

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Abstract

Background People with diabetes are more likely to develop tuberculosis (TB) and to have poor TB-treatment outcomes than those without. We previously showed that blood transcriptomes in people with TB-diabetes (TB-DM) co-morbidity have excessive inflammatory and reduced interferon responses at diagnosis. It is unknown whether this persists through treatment and contributes to the adverse outcomes. Methods Pulmonary TB patients recruited in South Africa, Indonesia and Romania were classified as having TB-DM, TB with prediabetes, TB-related hyperglycaemia or TB-only, based on glycated haemoglobin concentration at TB diagnosis and after 6 months of TB treatment. Gene expression in blood at diagnosis and intervals throughout treatment was measured by unbiased RNA-Seq and targeted Multiplex Ligation-dependent Probe Amplification. Transcriptomic data were analysed by longitudinal mixed-model regression to identify whether genes were differentially expressed between clinical groups through time. Predictive models of TB-treatment response across groups were developed and cross-tested. Results Gene expression differed between TB and TB-DM patients at diagnosis and was modulated by TB treatment in all clinical groups but to different extents, such that differences remained in TB-DM relative to TB-only throughout. Expression of some genes increased through TB treatment, whereas others decreased: some were persistently more highly expressed in TB-DM and others in TB-only patients. Genes involved in innate immune responses, anti-microbial immunity and inflammation were significantly upregulated in people with TB-DM throughout treatment. The overall pattern of change was similar across clinical groups irrespective of diabetes status, permitting models predictive of TB treatment to be developed. Conclusions Exacerbated transcriptome changes in TB-DM take longer to resolve during TB treatment, meaning they remain different from those in uncomplicated TB after treatment completion. This may indicate a prolonged inflammatory response in TB-DM, requiring prolonged treatment or host-directed therapy for complete cure. Development of transcriptome-based biomarker signatures of TB-treatment response should include people with diabetes for use across populations.

Item Type: Article
Additional Information: © 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: 1110 Nursing
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Clinical and Translational Medicine
ISSN: 2001-1326
Dates:
DateEvent
30 August 2023Published
8 August 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
305279Seventh Framework Programmehttp://dx.doi.org/10.13039/501100004963
91214038Netherlands Organization for Scientific ResearchUNSPECIFIED
URI: https://openaccess.sgul.ac.uk/id/eprint/115652
Publisher's version: https://doi.org/10.1002/ctm2.1375

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