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http://bura.brunel.ac.uk/handle/2438/30952| Title: | Metabolite changes in blood predict the onset of tuberculosis |
| Authors: | Weiner, J Maertzdorf, J Sutherland, JS Duffy, FJ Thompson, E Suliman, S McEwen, G Thiel, B Parida, SK Zyla, J Hanekom, WA Mohney, RP Boom, WH Mayanja-Kizza, H Howe, R Dockrell, HM Ottenhoff, THM Scriba, TJ Zak, DE Walzl, G Kaufmann, SHE Abebe, A Abel, B Adegbola, R Adetifa, I Ambrose, L Andersen, P Antonio, M Aseffa, A van Baarle, D Barker, L Bekele, Y Bilek, N Black, GF Bowmaker, M Branson, K Brennan, M Chegou, NN Chilongo, F Chung, WK Corrah, T Crampin, AC Doherty, M Dolganov, G Donkor, S Downing, K Fisher, M Franken, KLMC French, N Geiter, L Geluk, A Golinski, R Gorak-Stolinska, P Haks, MC Hill, P Hughes, J Hur, YG Iwnetu, R Jacobson, M Joloba, M Joosten, SA Kagina, B Kassa, D Kisingo, H Klein, MR Kriel, M Lalor, M Lee, JS Loxton, AG Mahomed, H van Meijgaarden, KE Mesele, T Miedema, F Mihret, A Mulenga, H Muller, S Mvula, H Nene, N Ngwira, B Nsereko, M Okwera, B Ota, M Penn-Nicholson, A Du Plessis, N Ramachandran, S Rosenkrands, I Sadoff, J Saul, J Schoolnik, G Simukonda, F Sizemore, D Smith, S Ben Smith, A van der Spuy, G Stanley, K Tabb, D Tafesse, M Tegbaru, B Togun, T Tromp, G |
| Keywords: | diagnostic markers;metabolomics;predictive medicine;tuberculosis |
| Issue Date: | 6-Dec-2018 |
| Publisher: | Springer Nature |
| Citation: | Weiner, J. et al. & The GC6-74 consortium (2018) 'Metabolite changes in blood predict the onset of tuberculosis', Nature Communications, 9 (1), 5208, pp. 1 - 12. doi: 10.1038/s41467-018-07635-7. |
| Abstract: | New biomarkers of tuberculosis (TB) risk and disease are critical for the urgently needed control of the ongoing TB pandemic. In a prospective multisite study across Subsaharan Africa, we analyzed metabolic profiles in serum and plasma from HIV-negative, TB-exposed individuals who either progressed to TB 3–24 months post-exposure (progressors) or remained healthy (controls). We generated a trans-African metabolic biosignature for TB, which identifies future progressors both on blinded test samples and in external data sets and shows a performance of 69% sensitivity at 75% specificity in samples within 5 months of diagnosis. These prognostic metabolic signatures are consistent with development of subclinical disease prior to manifestation of active TB. Metabolic changes associated with pre-symptomatic disease are observed as early as 12 months prior to TB diagnosis, thus enabling timely interventions to prevent disease progression and transmission. |
| Description: | Data availability:
Metabolomic data have been deposited to Metabolomic Workbench48, ID PR000666 and are accessible under http://www.metabolomicsworkbench.org/data/DRCCMetadata.php?Mode=Project&ProjectID=PR000666. Data used to generate the figures 2–5 are available as a Source Data file. Electronic supplementary material is available online at: https://www.nature.com/articles/s41467-018-07635-7#Sec23 . Source data are available online at: https://www.nature.com/articles/s41467-018-07635-7#Sec24 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/30952 |
| DOI: | https://doi.org/10.1038/s41467-018-07635-7 |
| Other Identifiers: | ORCiD: Fergal J. Duffy https://orcid.org/0000-0002-4675-0937 ORCiD: Robert P. Mohney https://orcid.org/0000-0002-9315-9541 ORCiD: Harriet Mayanja-Kizza https://orcid.org/0000-0002-9297-6208 ORCiD: Gerhard Walzl https://orcid.org/0000-0003-2487-125X ORCiD: Steven Smith https://orcid.org/0000-0001-5623-7806 5208 |
| Appears in Collections: | Dept of Life Sciences Research Papers |
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