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The Distribution of Fitness Costs of Resistance-Conferring Mutations Is a Key Determinant for the Future Burden of Drug-Resistant Tuberculosis: A Model-Based Analysis

机译:基于抗药性突变的适应性成本分布是决定耐药性结核病未来负担的关键因素:基于模型的分析

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摘要

>Background. Drug resistance poses a serious challenge for the control of tuberculosis in many settings. It is well established that the expected future trend in resistance depends on the reproductive fitness of drug-resistant Mycobacterium tuberculosis. However, the variability in fitness between strains with different resistance-conferring mutations has been largely ignored when making these predictions.>Methods. We developed a novel approach for incorporating the variable fitness costs of drug resistance-conferring mutations and for tracking this distribution of fitness costs over time within a transmission model. We used this approach to describe the effects of realistic fitness cost distributions on the future prevalence of drug-resistant tuberculosis.>Results. The shape of the distribution of fitness costs was a strong predictor of the long-term prevalence of resistance. While, as expected, lower average fitness costs of drug resistance–conferring mutations were associated with more severe epidemics of drug-resistant tuberculosis, fitness distributions with greater variance also led to higher levels of drug resistance. For example, compared to simulations in which the fitness cost of resistance was fixed, introducing a realistic amount of variance resulted in a 40% increase in prevalence of drug-resistant tuberculosis after 20 years.>Conclusions. The differences in the fitness costs associated with drug resistance–conferring mutations are a key determinant of the future burden of drug-resistant tuberculosis. Future studies that can better establish the range of fitness costs associated with drug resistance–conferring mutations will improve projections and thus facilitate better public health planning efforts.
机译:>背景。在许多情况下,耐药性对于控制结核病都构成了严峻挑战。众所周知,耐药的预期未来趋势取决于耐药结核分枝杆菌的繁殖适应性。但是,在做出这些预测时,具有不同抗性赋予突变的菌株之间适应性的变异性已被大大忽略。>方法。我们开发了一种新颖的方法,将具有抗药性赋予突变的适应性成本和在传输模型中跟踪健身成本随时间的分布情况。我们用这种方法来描述现实的健身费用分配对未来耐药结核病患病率的影响。>结果。健身费用分配的形状是长期患病率的有力预测指标抵抗。正如预期的那样,具有耐药性的突变的平均适应度成本降低与耐药性结核病的更严重流行有关,而适应性分布的差异越大,耐药性水平也越高。例如,与固定抗性适应性成本的模拟相比,引入现实的差异量会使20年后耐药结核的患病率增加40%。>结论。差异与耐药相关的适应性成本的增加是决定未来耐药结核负担的关键因素。未来的研究可以更好地确定与耐药性相关的适应性疾病相关费用的范围,这将改善预测,从而促进更好的公共卫生规划工作。

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