ArticleJournal of theoretical biology2011
Models to understand the population-level impact of mixed strain M. tuberculosis infections.
Article in Journal of theoretical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Population-level mathematical modeling of antimicrobial resistance: a systematic review.BMC medicine · 2019Pooled it
- Quantifying TB transmission: a systematic review of reproduction number and serial interval estimates for tuberculosis.Epidemiology and infection · 2018Pooled it
- Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Novel Screening System of Virulent Strains for the Establishment of aMicrobiology spectrum · 2022Article
- Genotypic and phenotypic drug-resistance detection and prevalence of heteroresistance in patients with isoniazid- and multidrug-resistant tuberculosis in Ethiopia.IJID regions · 2022Article
- SplitStrains, a tool to identify and separate mixedMicrobial genomics · 2021Article
- Possible Transmission Mechanisms of Mixed Mycobacterium tuberculosis Infection in High HIV Prevalence Country, Botswana.Emerging infectious diseases · 2020Article
- The emergence of latent infection in the early evolution of Mycobacterium tuberculosis.Proceedings. Biological sciences · 2016Article
- ClassTR: Classifying Within-Host Heterogeneity Based on Tandem Repeats with Application to Mycobacterium tuberculosis Infections.PLoS computational biology · 2016Article
- How could preventive therapy affect the prevalence of drug resistance? Causes and consequences.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Article
- Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection.Journal of theoretical biology · 2015Article
- Undetected multidrug-resistant tuberculosis amplified by first-line therapy in mixed infection.Emerging infectious diseases · 2013Article
- Community-wide isoniazid preventive therapy drives drug-resistant tuberculosis: a model-based analysis.Science translational medicine · 2013Article
- Mixed-strain mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control.Clinical microbiology reviews · 2012Review
- Translating basic science insight into public health action for multidrug- and extensively drug-resistant tuberculosis.Respirology (Carlton, Vic.) · 2012Review
- Old and new selective pressures on Mycobacterium tuberculosis.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012Review
- Modeling the dynamic relationship between HIV and the risk of drug-resistant tuberculosis.Science translational medicine · 2012Article
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
Over the past decade, numerous studies have identified tuberculosis patients in whom more than one distinct strain of Mycobacterium tuberculosis is present. While it has been shown that these mixed strain infections can reduce the probability of treatment success for individuals simultaneously harboring both drug-sensitive and drug-resistant strains, it is not yet known if and how this phenomenon impacts the long-term dynamics for tuberculosis within communities. Strain-specific differences in immunogenicity and associations with drug resistance suggest that a better understanding of how strains compete within hosts will be necessary to project the effects of mixed strain infections on the future burden of drug-sensitive and drug-resistant tuberculosis. In this paper, we develop a modeling framework that allows us to investigate mechanisms of strain competition within hosts and to assess the long-term effects of such competition on the ecology of strains in a population. These models permit us to systematically evaluate the importance of unknown parameters and to suggest priority areas for future experimental research. Despite the current scarcity of data to inform the values of several model parameters, we are able to draw important qualitative conclusions from this work. We find that mixed strain infections may promote the coexistence of drug-sensitive and drug-resistant strains in two ways. First, mixed strain infections allow a strain with a lower basic reproductive number to persist in a population where it would otherwise be outcompeted if has competitive advantages within a co-infected host. Second, some individuals progressing to phenotypically drug-sensitive tuberculosis from a state of mixed drug-sensitive and drug-resistant infection may retain small subpopulations of drug-resistant bacteria that can flourish once the host is treated with antibiotics. We propose that these types of mixed infections, by increasing the ability of low fitness drug-resistant strains to persist, may provide opportunities for compensatory mutations to accumulate and for relatively fit, highly drug-resistant strains of M. tuberculosis to emerge.
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Registered trials
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