Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes

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dc.contributor.authorSivakumaran, Dhanasekaranen_ZA
dc.contributor.authorJenum, Synneen_ZA
dc.contributor.authorVaz, Marioen_ZA
dc.contributor.authorSelvam, Sumithraen_ZA
dc.contributor.authorOttenhoff, Tom H. M.en_ZA
dc.contributor.authorHaks, Marielle C.en_ZA
dc.contributor.authorMalherbe, Stephanus T.en_ZA
dc.contributor.authorDoherty, Marken_ZA
dc.contributor.authorRitz, Christianen_ZA
dc.contributor.authorGrewal, Harleen M. S.en_ZA
dc.date.accessioned2022-05-09T10:17:21Zen_ZA
dc.date.available2022-05-09T10:17:21Zen_ZA
dc.date.issued2020en_ZA
dc.descriptionCITATION: Sivakumaran, Dhanasekaran et al. 2020. Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes. Communications Biology, 3(1):359, doi:10.1038/s42003-020-1087-x.en_ZA
dc.descriptionThe original publication is available at: https://pubmed.ncbi.nlm.nih.gov/en_ZA
dc.description.abstractTuberculosis (TB) is a global health concern. Treatment is prolonged, and patients on anti-TB therapy (ATT) often experience treatment failure for various reasons. There is an urgent need to identify signatures for early detection of failure and initiation of a treatment switch.We investigated how gene biomarkers and/or basic patient characteristics could be used to define signatures for treatment outcomes in Indian adult pulmonary-TB patients treated with standard ATT. Using blood samples at baseline, a 12-gene signature combined with information on gender, previously-diagnosed TB, severe thinness, smoking and alcohol consumption was highly predictive of treatment failure at 6 months. Likewise a 4-protein biomarker signature combined with the same patient characteristics was almost as highly predictive of treatment failure. Combining biomarkers and basic patient characteristics may be useful for predicting and hence identification of treatment failure at an early stage of TB therapy.en_ZA
dc.description.versionPubllisher's versionen_ZA
dc.format.extent10 pagesen_ZA
dc.identifier.citationSivakumaran, Dhanasekaran et al. 2020. Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes. Communications Biology, 3(1):359, doi:10.1038/s42003-020-1087-xen_ZA
dc.identifier.otherdoi:10.1038/s42003-020-1087-xen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/125199en_ZA
dc.language.isoen_ZAen_ZA
dc.publisherSpringer Natureen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectTuberculosis -- Treatmenten_ZA
dc.subjectBiochemical markersen_ZA
dc.subjectIndian adult pulmonary-TB patientsen_ZA
dc.subjectTuberculosis -- Patientsen_ZA
dc.titleCombining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomesen_ZA
dc.typeArticleen_ZA
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