Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity

Author:

Eckold Clare1,van Doorn Cassandra L. R.2,Ruslami Rovina3,Ronacher Katharina45,Riza Anca‐Lelia678,van Veen Suzanne2,Lee Ji‐Sook1,Kumar Vinod69,Kerry‐Barnard Sarah10,Malherbe Stephanus T.4,Kleynhans Léanie4,Stanley Kim4,Joosten Simone A.2,Critchley Julia A10,Hill Philip C.11,van Crevel Reinout612,Wijmenga Cisca9,Haks Mariëlle C.2,Ioana Mihai78,Alisjahbana Bachti1314,Walzl Gerhard4,Ottenhoff Tom H. M.2,Dockrell Hazel M.1,Vianello Eleonora2,Cliff Jacqueline M.115ORCID,

Affiliation:

1. Department of Infection Biology and TB Centre London School of Hygiene & Tropical Medicine London UK

2. Department of Infectious Diseases Leiden University Medical Center Leiden The Netherlands

3. Department of Biomedical Sciences Faculty of Medicine Universitas Padjadjaran Bandung Indonesia

4. DSI‐NRF Centre of Excellence for Biomedical Tuberculosis Research South African Medical Research Council Centre for Tuberculosis Research Division of Molecular Biology and Human Genetics Department of Biomedical Sciences Faculty of Medicine and Health Sciences Stellenbosch University Cape Town South Africa

5. Mater Research Institute Faculty of Medicine Translational Research Institute The University of Queensland Brisbane QLD Australia

6. Department of Internal Medicine and Radboud Center for Infectious Diseases Radboud University Medical Center Nijmegen The Netherlands

7. Human Genomics Laboratory Department of Diagnostics and Treatment University of Medicine and Pharmacy of Craiova Craiova Romania

8. Regional Centre for Human Genetics – Dolj Emergency Clinical County Hospital Craiova Craiova Romania

9. Department of Genetics University of Groningen University Medical Center Groningen Groningen The Netherlands

10. Population Health Research Institute St George's University of London London UK

11. Division of Health Sciences Centre for International Health University of Otago Dunedin New Zealand

12. Nuffield Department of Medicine Centre for Tropical Medicine and Global Health University of Oxford Oxford UK

13. Internal Medicine Department Hasan Sadikin General Hospital Bandung Indonesia

14. Research Center for Care and Control of Infectious Diseases Universitas Padjadjaran Bandung Indonesia

15. Department of Life Sciences Centre for Inflammation Research and Translational Medicine Brunel University London London UK

Abstract

AbstractBackgroundPeople 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.MethodsPulmonary 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.ResultsGene 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.ConclusionsExacerbated 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.

Publisher

Wiley

Subject

Molecular Medicine,Medicine (miscellaneous)

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