Literature DB >> 28610782

Assessment of treatment response by colony forming units, time to culture positivity and the molecular bacterial load assay compared in a mouse tuberculosis model.

Gerjo J de Knegt1, Laura Dickinson2, Henry Pertinez2, Dimitrios Evangelopoulos3, Timothy D McHugh3, Irma A J M Bakker-Woudenberg4, Gerry R Davies2, Jurriaan E M de Steenwinkel4.   

Abstract

The aim of the study is to compare counting of colony forming units (CFU), the time to positivity (TTP) assay and the molecular bacterial load (MBL) assay, and explore whether the last assays can detect a subpopulation which is unable to grown on solid media. CFU counting, TTP and the MBL assay were used to determine the mycobacterial load in matched lung samples of a murine tuberculosis model. Mice were treated for 24 weeks with 4 treatment arms: isoniazid (H) - rifampicin (R) - pyrazinamide (Z), HRZ-Streptomycin (S), HRZ - ethambutol (E) or ZES. Inverse relationships were observed when comparing TPP with CFU or MBL. Positive associations were observed when comparing CFU with MBL. Description of the net elimination of bacteria was performed for CFU vs. time, MBL vs. time and 1/TTP vs. time and fitted by nonlinear regression. CFU vs. time and 1/TTP vs. time showed bi-phasic declines with the exception of HRZE. A similar rank order, based on the alpha slope, was found comparing CFU vs. time and TTP vs. time, respectively HRZE, HRZ, HRZS and ZES. In contrast, MBL vs. time showed a mono-phasic decline with a flat gradient of elimination and a different rank order respectively, ZES, HRZ, HRZE and HRZS. The correlations found between methods reflects the ability of each to discern the general mycobacterial load. Based on the description of net elimination, we conclude that the MBL assay can detect a subpopulation of Mycobacterium tuberculosis which is not detected by the CFU or TTP assays.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2017        PMID: 28610782     DOI: 10.1016/j.tube.2017.05.002

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  6 in total

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Authors:  Ghaith Aljayyoussi; Samantha Donnellan; Stephen A Ward; Giancarlo A Biagini
Journal:  Pharmaceutics       Date:  2019-06-13       Impact factor: 6.321

2.  Comparison of the Mycobacterium tuberculosis molecular bacterial load assay, microscopy and GeneXpert versus liquid culture for viable bacterial load quantification before and after starting pulmonary tuberculosis treatment.

Authors:  Hoang T Hai; Dao N Vinh; Do D A Thu; Nguyen T Hanh; Nguyen H Phu; Vijay Srinivasan; Guy E Thwaites; Nguyen T T Thuong
Journal:  Tuberculosis (Edinb)       Date:  2019-09-21       Impact factor: 3.131

3.  The zebrafish embryo as an in vivo model for screening nanoparticle-formulated lipophilic anti-tuberculosis compounds.

Authors:  Nils-Jørgen Knudsen Dal; Martin Speth; Kerstin Johann; Matthias Barz; Claire Beauvineau; Jens Wohlmann; Federico Fenaroli; Brigitte Gicquel; Gareth Griffiths; Noelia Alonso-Rodriguez
Journal:  Dis Model Mech       Date:  2022-01-26       Impact factor: 5.758

4.  Culture-Free Enumeration of Mycobacterium tuberculosis in Mouse Tissues Using the Molecular Bacterial Load Assay for Preclinical Drug Development.

Authors:  Dimitrios Evangelopoulos; Carolyn M Shoen; Isobella Honeyborne; Simon Clark; Ann Williams; Galina V Mukamolova; Michael H Cynamon; Timothy D McHugh
Journal:  Microorganisms       Date:  2022-02-17

5.  Combination of Mycobacterium tuberculosis RS Ratio and CFU Improves the Ability of Murine Efficacy Experiments to Distinguish between Drug Treatments.

Authors:  Christian Dide-Agossou; Allison A Bauman; Michelle E Ramey; Karen Rossmassler; Reem Al Mubarak; Samantha Pauly; Martin I Voskuil; Maria Garcia-Cremades; Rada M Savic; Payam Nahid; Camille M Moore; Rokeya Tasneen; Eric L Nuermberger; Gregory T Robertson; Nicholas D Walter
Journal:  Antimicrob Agents Chemother       Date:  2022-03-21       Impact factor: 5.938

6.  miR-1224 contributes to ischemic stroke-mediated natural killer cell dysfunction by targeting Sp1 signaling.

Authors:  Yan Feng; Yan Li; Ying Zhang; Bo-Hao Zhang; Hui Zhao; Xin Zhao; Fu-Dong Shi; Wei-Na Jin; Xiao-An Zhang
Journal:  J Neuroinflammation       Date:  2021-06-12       Impact factor: 8.322

  6 in total

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