Literature DB >> 31358585

Model-Based Relationship between the Molecular Bacterial Load Assay and Time to Positivity in Liquid Culture.

Robin J Svensson1, Wilber Sabiiti2, Gibson S Kibiki3, Nyanda E Ntinginya4, Nilesh Bhatt5, Geraint Davies6, Stephen H Gillespie2, Ulrika S H Simonsson7.   

Abstract

The molecular bacterial load (MBL) assay is a new tuberculosis biomarker which provides results in ∼4 hours. The relationship between MBL and time-to-positivity (TTP) has not been thoroughly studied, and predictive models do not exist. We aimed to develop a model for MBL and identify the MBL-TTP relationship in patients. The model was developed on data from 105 tuberculosis patients from Malawi, Mozambique, and Tanzania with joint MBL and TTP observations quantified from patient sputum collected for 12 weeks. MBL was quantified using PCR of mycobacterial RNA and TTP using the mycobacterial growth indicator tube (MGIT) 960 system. Treatment consisted of isoniazid, pyrazinamide, and ethambutol in standard doses together with rifampin 10 or 35 mg/kg of body weight. The developed MBL-TTP model included several linked submodels, a component describing decline of bacterial load in sputum, another component describing growth in liquid culture, and a hazard model translating bacterial growth into a TTP signal. Additional components for contaminated and negative TTP samples were included. Visual predictive checks performed using the developed model gave good description of the observed data. The model predicted greater total sample loss for TTP than MBL due to contamination and negative samples. The model detected an increase in bacterial killing for 35 versus 10 mg/kg rifampin (P = 0.002). In conclusion, a combined model for MBL and TTP was developed that described the MBL-TTP relationship. The full MBL-TTP model or each submodel was used separately. Second, the model can be used to predict biomarker response for MBL given TTP data or vice versa in historical or future trials.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  Mycobacterium tuberculosiszzm321990; biomarker; mathematical modeling; pharmacodynamics; pharmacometrics; tuberculosis

Year:  2019        PMID: 31358585      PMCID: PMC6761543          DOI: 10.1128/AAC.00652-19

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  21 in total

1.  Ways to fit a PK model with some data below the quantification limit.

Authors:  S L Beal
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-10       Impact factor: 2.745

2.  Time to liquid culture positivity can substitute for colony counting on agar plates in early bactericidal activity studies of antituberculosis agents.

Authors:  A H Diacon; J S Maritz; A Venter; P D van Helden; R Dawson; P R Donald
Journal:  Clin Microbiol Infect       Date:  2011-08-18       Impact factor: 8.067

3.  Sputum volume predicts sputum mycobacterial load during the first 2 weeks of antituberculosis treatment.

Authors:  Miriam N Karinja; Tonya M Esterhuizen; Sven O Friedrich; Andreas H Diacon
Journal:  J Clin Microbiol       Date:  2014-12-31       Impact factor: 5.948

4.  Enhanced Methodologies for Detecting Phenotypic Resistance in Mycobacteria.

Authors:  Robert J H Hammond; Vincent O Baron; Sam Lipworth; Stephen H Gillespie
Journal:  Methods Mol Biol       Date:  2018

5.  Mycobacterial Load Assay.

Authors:  Stephen H Gillespie; Wilber Sabiiti; Katarina Oravcova
Journal:  Methods Mol Biol       Date:  2017

6.  A time-to-event pharmacodynamic model describing treatment response in patients with pulmonary tuberculosis using days to positivity in automated liquid mycobacterial culture.

Authors:  Emmanuel Chigutsa; Kashyap Patel; Paolo Denti; Marianne Visser; Gary Maartens; Carl M J Kirkpatrick; Helen McIlleron; Mats O Karlsson
Journal:  Antimicrob Agents Chemother       Date:  2012-11-26       Impact factor: 5.191

7.  Greater Early Bactericidal Activity at Higher Rifampicin Doses Revealed by Modeling and Clinical Trial Simulations.

Authors:  Robin J Svensson; Elin M Svensson; Rob E Aarnoutse; Andreas H Diacon; Rodney Dawson; Stephen H Gillespie; Mischka Moodley; Martin J Boeree; Ulrika S H Simonsson
Journal:  J Infect Dis       Date:  2018-08-14       Impact factor: 5.226

8.  The molecular bacterial load assay replaces solid culture for measuring early bactericidal response to antituberculosis treatment.

Authors:  Isobella Honeyborne; Bariki Mtafya; Patrick P J Phillips; Michael Hoelscher; Elias N Ntinginya; Anke Kohlenberg; Andrea Rachow; Gabriel Rojas-Ponce; Timothy D McHugh; Norbert Heinrich
Journal:  J Clin Microbiol       Date:  2014-05-28       Impact factor: 5.948

9.  Pharmacodynamic Modeling of Bacillary Elimination Rates and Detection of Bacterial Lipid Bodies in Sputum to Predict and Understand Outcomes in Treatment of Pulmonary Tuberculosis.

Authors:  Derek J Sloan; Henry C Mwandumba; Natalie J Garton; Saye H Khoo; Anthony E Butterworth; Theresa J Allain; Robert S Heyderman; Elizabeth L Corbett; Mike R Barer; Geraint R Davies
Journal:  Clin Infect Dis       Date:  2015-03-16       Impact factor: 9.079

10.  Modelling of mycobacterial load reveals bedaquiline's exposure-response relationship in patients with drug-resistant TB.

Authors:  Elin M Svensson; Mats O Karlsson
Journal:  J Antimicrob Chemother       Date:  2017-12-01       Impact factor: 5.790

View more
  2 in total

1.  Resistance-Conferring Mycobacterial Mutations and Quantification of Early Bactericidal Activity.

Authors:  Solomon P le Roux; Caryn Upton; Naadira Vanker; Kelly E Dooley; Andreas H Diacon
Journal:  Am J Respir Crit Care Med       Date:  2021-03-01       Impact factor: 21.405

Review 2.  Molecular bacterial load assay versus culture for monitoring treatment response in adults with tuberculosis.

Authors:  Bibie Said; Loveness Charlie; Emnet Getachew; Catherine Lydiah Wanjiru; Mekdelawit Abebe; Tsegahun Manyazewal
Journal:  SAGE Open Med       Date:  2021-07-17
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.