Literature DB >> 27837741

Phenotypic Heterogeneity in Mycobacterium tuberculosis.

Neeraj Dhar1, John McKinney1, Giulia Manina2.   

Abstract

The interaction between the host and the pathogen is extremely complex and is affected by anatomical, physiological, and immunological diversity in the microenvironments, leading to phenotypic diversity of the pathogen. Phenotypic heterogeneity, defined as nongenetic variation observed in individual members of a clonal population, can have beneficial consequences especially in fluctuating stressful environmental conditions. This is all the more relevant in infections caused by Mycobacterium tuberculosis wherein the pathogen is able to survive and often establish a lifelong persistent infection in the host. Recent studies in tuberculosis patients and in animal models have documented the heterogeneous and diverging trajectories of individual lesions within a single host. Since the fate of the individual lesions appears to be determined by the local tissue environment rather than systemic response of the host, studying this heterogeneity is very relevant to ensure better control and complete eradication of the pathogen from individual lesions. The heterogeneous microenvironments greatly enhance M. tuberculosis heterogeneity influencing the growth rates, metabolic potential, stress responses, drug susceptibility, and eventual lesion resolution. Single-cell approaches such as time-lapse microscopy using microfluidic devices allow us to address cell-to-cell variations that are often lost in population-average measurements. In this review, we focus on some of the factors that could be considered as drivers of phenotypic heterogeneity in M. tuberculosis as well as highlight some of the techniques that are useful in addressing this issue.

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Year:  2016        PMID: 27837741     DOI: 10.1128/microbiolspec.TBTB2-0021-2016

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


  23 in total

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2.  Moxifloxacin Replacement in Contemporary Tuberculosis Drug Regimens Is Ineffective against Persistent Mycobacterium tuberculosis in the Cornell Mouse Model.

Authors:  Yingjun Liu; Henry Pertinez; Geraint R Davies; Stephen H Gillespie; Anthony R Coates; Yanmin Hu
Journal:  Antimicrob Agents Chemother       Date:  2018-06-26       Impact factor: 5.191

3.  Selective Killing of Dormant Mycobacterium tuberculosis by Marine Natural Products.

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Journal:  Antimicrob Agents Chemother       Date:  2017-07-25       Impact factor: 5.191

4.  Zebrafish Embryo Model for Assessment of Drug Efficacy on Mycobacterial Persisters.

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Review 5.  One for All, but Not All for One: Social Behavior during Bacterial Diseases.

Authors:  Kimberly M Davis; Ralph R Isberg
Journal:  Trends Microbiol       Date:  2018-09-19       Impact factor: 17.079

Review 6.  Heterogeneous Host-Pathogen Encounters Coordinate Antibiotic Resilience in Mycobacterium tuberculosis.

Authors:  Richa Mishra; Vikas Yadav; Madhura Guha; Amit Singh
Journal:  Trends Microbiol       Date:  2020-12-10       Impact factor: 17.079

7.  Statistics and simulation of growth of single bacterial cells: illustrations with B. subtilis and E. coli.

Authors:  Johan H van Heerden; Hermannus Kempe; Anne Doerr; Timo Maarleveld; Niclas Nordholt; Frank J Bruggeman
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

8.  mSphere of Influence: Clearing a Path for High-Resolution Visualization of Host-Pathogen Interactions In Vivo.

Authors:  Shumin Tan
Journal:  mSphere       Date:  2019-07-10       Impact factor: 4.389

9.  Hypoxic Non-replicating Persistent Mycobacterium tuberculosis Develops Thickened Outer Layer That Helps in Restricting Rifampicin Entry.

Authors:  Kishor Jakkala; Parthasarathi Ajitkumar
Journal:  Front Microbiol       Date:  2019-10-11       Impact factor: 5.640

10.  ODELAM: Rapid Sequence-independent Detection of Drug Resistance in Mycobacterium tuberculosis Isolates.

Authors:  Thurston Herricks; Magdalena Donczew; David R Sherman; John D Aitchison
Journal:  Bio Protoc       Date:  2021-05-20
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