Literature DB >> 18816192

The theoretical influence of immunity between strain groups on the progression of drug-resistant tuberculosis epidemics.

Sanjay Basu1, Evan Orenstein, Alison P Galvani.   

Abstract

BACKGROUND: Emerging research suggests that genetically distinct strains of Mycobacterium tuberculosis may modulate the immune system differently. This may be of importance in high-burden settings where > or =1 genetic group of M. tuberculosis confers significant morbidity.
METHODS: A dynamic mathematical model was constructed to evaluate how different degrees of cross-immunity among M. tuberculosis groups could affect epidemics of drug-resistant tuberculosis (TB).
RESULTS: Simulated populations with immunogenically distinct TB strain groups experienced a heightened risk of drug-resistant TB, compared with populations without such strain diversity, even when the same rates of case detection and treatment success were achieved. The highest risks of infection were observed in populations in which HIV was prevalent. Drug-resistant strains with very low transmission fitness could still propagate in environments with reduced cross-immunity among different strain groups, even after common targets for case detection and treatment success are reached.
CONCLUSIONS: It is possible that the propagation of drug-resistant strains could depend not only on the rate of development of resistance and the fitness of the drug-resistant strains but, also, on the diversity of the strains in the region. The risk of infection with drug-resistant strains could be amplified in locations where there is reduced cross-immunity between originating strain groups. This amplification may be most profound during the first few decades of TB treatment expansion.

Entities:  

Mesh:

Year:  2008        PMID: 18816192     DOI: 10.1086/592508

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  10 in total

Review 1.  Risk of progression to active tuberculosis following reinfection with Mycobacterium tuberculosis.

Authors:  Jason R Andrews; Farzad Noubary; Rochelle P Walensky; Rodrigo Cerda; Elena Losina; C Robert Horsburgh
Journal:  Clin Infect Dis       Date:  2012-01-19       Impact factor: 9.079

2.  Potential impact of spatially targeted adult tuberculosis vaccine in Gujarat, India.

Authors:  Sourya Shrestha; Susmita Chatterjee; Krishna D Rao; David W Dowdy
Journal:  J R Soc Interface       Date:  2016-03       Impact factor: 4.118

Review 3.  Old and new selective pressures on Mycobacterium tuberculosis.

Authors:  Daniela Brites; Sebastien Gagneux
Journal:  Infect Genet Evol       Date:  2011-08-17       Impact factor: 3.342

Review 4.  Translating basic science insight into public health action for multidrug- and extensively drug-resistant tuberculosis.

Authors:  Nicholas D Walter; Michael Strong; Robert Belknap; Diane J Ordway; Charles L Daley; Edward D Chan
Journal:  Respirology       Date:  2012-07       Impact factor: 6.424

Review 5.  Mixed-strain mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control.

Authors:  Ted Cohen; Paul D van Helden; Douglas Wilson; Caroline Colijn; Megan M McLaughlin; Ibrahim Abubakar; Robin M Warren
Journal:  Clin Microbiol Rev       Date:  2012-10       Impact factor: 26.132

6.  Increased virulence of an epidemic strain of Mycobacterium massiliense in mice.

Authors:  Shaobin Shang; Sara Gibbs; Marcela Henao-Tamayo; Crystal A Shanley; Gerald McDonnell; Rafael Silva Duarte; Diane J Ordway; Mary Jackson
Journal:  PLoS One       Date:  2011-09-12       Impact factor: 3.240

Review 7.  How can mathematical models advance tuberculosis control in high HIV prevalence settings?

Authors:  R M G J Houben; D W Dowdy; A Vassall; T Cohen; M P Nicol; R M Granich; J E Shea; P Eckhoff; C Dye; M E Kimerling; R G White
Journal:  Int J Tuberc Lung Dis       Date:  2014-05       Impact factor: 2.373

8.  Drivers and trajectories of resistance to new first-line drug regimens for tuberculosis.

Authors:  Sourya Shrestha; Gwenan M Knight; Mariam Fofana; Ted Cohen; Richard G White; Frank Cobelens; David W Dowdy
Journal:  Open Forum Infect Dis       Date:  2014-08-30       Impact factor: 3.835

9.  Population-level mathematical modeling of antimicrobial resistance: a systematic review.

Authors:  Anna Maria Niewiadomska; Bamini Jayabalasingham; Jessica C Seidman; Lander Willem; Bryan Grenfell; David Spiro; Cecile Viboud
Journal:  BMC Med       Date:  2019-04-24       Impact factor: 8.775

10.  Achieving a "step change" in the tuberculosis epidemic through comprehensive community-wide intervention: a model-based analysis.

Authors:  Sourya Shrestha; Emily A Kendall; Rebekah Chang; Roy Joseph; Parastu Kasaie; Laura Gillini; Anthony Todd Fojo; Michael Campbell; Nimalan Arinaminpathy; David W Dowdy
Journal:  BMC Med       Date:  2021-10-14       Impact factor: 11.150

  10 in total

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