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Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study

INTRODUCTION: An improved understanding of factors explaining tuberculosis (TB) treatment response is urgently needed to help clinicians optimise and personalise treatment and assist scientists undertaking novel treatment regimen trials. Promising outcome proxy measures, including sputum bacillary l...

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Autores principales: Kloprogge, Frank, Abubakar, Ibrahim, Esmail, Hanif, Hack, Vanessa, Kunst, Heinke, McHugh, Timothy D, Noursadeghi, Mahdad, Surey, Julian, Tiberi, Simon, Lipman, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268918/
https://www.ncbi.nlm.nih.gov/pubmed/34244287
http://dx.doi.org/10.1136/bmjopen-2021-052885
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author Kloprogge, Frank
Abubakar, Ibrahim
Esmail, Hanif
Hack, Vanessa
Kunst, Heinke
McHugh, Timothy D
Noursadeghi, Mahdad
Surey, Julian
Tiberi, Simon
Lipman, Marc
author_facet Kloprogge, Frank
Abubakar, Ibrahim
Esmail, Hanif
Hack, Vanessa
Kunst, Heinke
McHugh, Timothy D
Noursadeghi, Mahdad
Surey, Julian
Tiberi, Simon
Lipman, Marc
author_sort Kloprogge, Frank
collection PubMed
description INTRODUCTION: An improved understanding of factors explaining tuberculosis (TB) treatment response is urgently needed to help clinicians optimise and personalise treatment and assist scientists undertaking novel treatment regimen trials. Promising outcome proxy measures, including sputum bacillary load and host immune response, are widely reported with variable results. However, they have not been studied together in combination with antibiotic exposure. The aim of this observational cohort study is to investigate which antibiotic exposures correlate with sputum bacillary load and which with the host immune response. Subsequently, we will explore if these correlations can be used to inform a candidate combined biomarker predicting cure. METHODS AND ANALYSIS: All patients aged [Formula: see text] 18, diagnosed with drug-sensitive pulmonary TB (culture or molecular test), eligible for standard anti-TB treatment, at selected London, UK TB Services, will be invited to participate in this observational cohort study (target sample size=210). Patients will be asked to give blood for host transcriptomics and antibiotic plasma exposure, in addition to standard of care sputum samples for bacillary load. Antibiotic plasma concentrations will be quantified using a validated liquid chromatograph triple quadrupole mass spectrometer (LC-MS/MS) assay and sputum bacillary load by mycobacterial growth incubator tube time to positivity. Expression from a total of 35 prespecified host blood genes will be quantified using NanoString [Formula: see text]. Antibiotic exposure, sputum bacillary load and host blood transcriptomic time series data will be analysed using nonlinear mixed-effects models. Correlations between combinations of longitudinal biomarkers and microbiological cure at the end of treatment and remaining relapse free for 1 year thereafter will be analysed using logistic regression and Cox proportional hazard models. ETHICS AND DISSEMINATION: The observational cohort study has been approved by the UK’s HRA REC (20/SW/0007). Written informed consent will be obtained. Results will be disseminated via publication, presentation and through engagement with institutes/companies developing novel anti-TB treatment combinations.
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spelling pubmed-82689182021-07-23 Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study Kloprogge, Frank Abubakar, Ibrahim Esmail, Hanif Hack, Vanessa Kunst, Heinke McHugh, Timothy D Noursadeghi, Mahdad Surey, Julian Tiberi, Simon Lipman, Marc BMJ Open Pharmacology and Therapeutics INTRODUCTION: An improved understanding of factors explaining tuberculosis (TB) treatment response is urgently needed to help clinicians optimise and personalise treatment and assist scientists undertaking novel treatment regimen trials. Promising outcome proxy measures, including sputum bacillary load and host immune response, are widely reported with variable results. However, they have not been studied together in combination with antibiotic exposure. The aim of this observational cohort study is to investigate which antibiotic exposures correlate with sputum bacillary load and which with the host immune response. Subsequently, we will explore if these correlations can be used to inform a candidate combined biomarker predicting cure. METHODS AND ANALYSIS: All patients aged [Formula: see text] 18, diagnosed with drug-sensitive pulmonary TB (culture or molecular test), eligible for standard anti-TB treatment, at selected London, UK TB Services, will be invited to participate in this observational cohort study (target sample size=210). Patients will be asked to give blood for host transcriptomics and antibiotic plasma exposure, in addition to standard of care sputum samples for bacillary load. Antibiotic plasma concentrations will be quantified using a validated liquid chromatograph triple quadrupole mass spectrometer (LC-MS/MS) assay and sputum bacillary load by mycobacterial growth incubator tube time to positivity. Expression from a total of 35 prespecified host blood genes will be quantified using NanoString [Formula: see text]. Antibiotic exposure, sputum bacillary load and host blood transcriptomic time series data will be analysed using nonlinear mixed-effects models. Correlations between combinations of longitudinal biomarkers and microbiological cure at the end of treatment and remaining relapse free for 1 year thereafter will be analysed using logistic regression and Cox proportional hazard models. ETHICS AND DISSEMINATION: The observational cohort study has been approved by the UK’s HRA REC (20/SW/0007). Written informed consent will be obtained. Results will be disseminated via publication, presentation and through engagement with institutes/companies developing novel anti-TB treatment combinations. BMJ Publishing Group 2021-07-08 /pmc/articles/PMC8268918/ /pubmed/34244287 http://dx.doi.org/10.1136/bmjopen-2021-052885 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Pharmacology and Therapeutics
Kloprogge, Frank
Abubakar, Ibrahim
Esmail, Hanif
Hack, Vanessa
Kunst, Heinke
McHugh, Timothy D
Noursadeghi, Mahdad
Surey, Julian
Tiberi, Simon
Lipman, Marc
Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title_full Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title_fullStr Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title_full_unstemmed Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title_short Exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
title_sort exploring a combined biomarker for tuberculosis treatment response: protocol for a prospective observational cohort study
topic Pharmacology and Therapeutics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268918/
https://www.ncbi.nlm.nih.gov/pubmed/34244287
http://dx.doi.org/10.1136/bmjopen-2021-052885
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