Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27160
Title: Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity
Authors: Eckold, C
van Doorn, CLR
Ruslami, R
Ronacher, K
Riza, A
van Veen, S
Lee, J
Kumar, V
Kerry‐Barnard, S
Malherbe, ST
Kleynhans, L
Stanley, K
Joosten, SA
Critchley, JA
Hill, PC
van Crevel, R
Wijmenga, C
Haks, MC
Ioana, M
Alisjahbana, B
Walzl, G
Ottenhoff, THM
Dockrell, HM
Vianello, E
Cliff, JM
Keywords: diabetes;transcriptome;treatment;tuberculosis
Issue Date: 30-Aug-2023
Publisher: Wiley on behalf of Shanghai Institute of Clinical Bioinformatics
Citation: Eckold, C. et al. for the TANDEM Consortium (2023) 'Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity', Clinical and Translational Medicine, 13 (9), e1375, pp. 1 - 19. doi: 10.1002/ctm2.1375.
Abstract: Copyright © 2023 The Authors. 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.
Description: Clare Eckold and Cassandra L.R. van Doorn contributed equally to this manuscript. Eleonora Vianello and Jacqueline M. Cliff contributed equally to this manuscript.
Data availability statement: The data that support the RNA-Seq findings of this study are openly available in NCBI-GEO at https://www.ncbi.nlm.nih.gov/geo/, accession number GSE193978. The data that support the dcRT-MLPA findings of this study are available in the supplementary material of this article.
URI: https://bura.brunel.ac.uk/handle/2438/27160
DOI: https://doi.org/10.1002/ctm2.1375
Other Identifiers: ORCID iDs: .Ji-Sook Lee https://orcid.org/0000-0003-1747-9700; Jacqueline M. Cliff https://orcid.org/0000-0002-5653-1818
e1375
Appears in Collections:Dept of Life Sciences Research Papers

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