Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27160
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dc.contributor.authorEckold, C-
dc.contributor.authorvan Doorn, CLR-
dc.contributor.authorRuslami, R-
dc.contributor.authorRonacher, K-
dc.contributor.authorRiza, A-
dc.contributor.authorvan Veen, S-
dc.contributor.authorLee, J-
dc.contributor.authorKumar, V-
dc.contributor.authorKerry‐Barnard, S-
dc.contributor.authorMalherbe, ST-
dc.contributor.authorKleynhans, L-
dc.contributor.authorStanley, K-
dc.contributor.authorJoosten, SA-
dc.contributor.authorCritchley, JA-
dc.contributor.authorHill, PC-
dc.contributor.authorvan Crevel, R-
dc.contributor.authorWijmenga, C-
dc.contributor.authorHaks, MC-
dc.contributor.authorIoana, M-
dc.contributor.authorAlisjahbana, B-
dc.contributor.authorWalzl, G-
dc.contributor.authorOttenhoff, THM-
dc.contributor.authorDockrell, HM-
dc.contributor.authorVianello, E-
dc.contributor.authorCliff, JM-
dc.contributor.otherTANDEM Consortium-
dc.date.accessioned2023-09-12T08:01:08Z-
dc.date.available2023-09-12T08:01:08Z-
dc.date.issued2023-08-30-
dc.identifierORCID iDs: .Ji-Sook Lee https://orcid.org/0000-0003-1747-9700; Jacqueline M. Cliff https://orcid.org/0000-0002-5653-1818-
dc.identifiere1375-
dc.identifier.citationEckold, 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.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27160-
dc.descriptionClare Eckold and Cassandra L.R. van Doorn contributed equally to this manuscript. Eleonora Vianello and Jacqueline M. Cliff contributed equally to this manuscript.en_US
dc.descriptionData 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.-
dc.description.abstractCopyright © 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.en_US
dc.description.sponsorshipEuropean Community's Seventh Framework Programme. Grant Number: 305279; Netherlands Organization for Scientific Research. Grant Number: 91214038en_US
dc.format.extent1 - 19-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherWiley on behalf of Shanghai Institute of Clinical Bioinformaticsen_US
dc.relation.urihttps://www.medrxiv.org/content/10.1101/2022.02.07.22269422v1-
dc.rightsCopyright © 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 (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectdiabetesen_US
dc.subjecttranscriptomeen_US
dc.subjecttreatmenten_US
dc.subjecttuberculosisen_US
dc.titleImpaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidityen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1002/ctm2.1375-
dc.relation.isPartOfClinical and Translational Medicine-
pubs.issue9-
pubs.publication-statusPublished-
pubs.volume13-
dc.identifier.eissn2001-1326-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Life Sciences Research Papers

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