精液结核分枝杆菌体内传播研究:使用概率模型的再分析

Chacha M Issarow, R. Wood, N. Mulder
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引用次数: 7

摘要

我们目前对结核分枝杆菌(MTB)传播的大部分知识源于20世纪50年代开展的人类对豚鼠的体内研究。类似的方法已用于研究人类免疫缺陷病毒(HIV)合并感染和耐多药结核病。然而,所有这些研究都必须协调使用高设施通风率的必要性,以降低人与人之间感染的风险,同时证明人与豚鼠之间的传播。虽然这些研究表明结核病可以通过空气传播,但它们也估计结核病病例的传染性极低。然而,计算传染性是基于量子感染的理论概念,并假设豚鼠模型对从设施排出的高度稀释的空气中远程检测活结核菌具有100%的灵敏度。通过稀释呼出气体和减少豚鼠取样的空气比例,高设施通风显著降低豚鼠成功感染的可能性。在这项研究中,我们使用了一个基于泊松分布和以前的豚鼠实验数据的新的数学模型来量化一个更现实的估计,即在体内研究中暴露的豚鼠成功感染所需的感染生物体的数量。此外,我们在这些研究中探讨了暴露豚鼠获得感染的可能性。我们发现,迄今为止的体内研究被低估了,无法证明除了最具生产力的感染病例外,任何其他病例都可以传播。由于高通气率或研究中使用的数学模型不敏感,所有四项体内研究暴露豚鼠的感染概率都非常低。因此,我们的分析表明,结核病病例产生的感染性有机体可能被明显低估了。这种对豚鼠传染性的重新评估与最近在卫生保健环境中存在大量结核病基因组的发现以及在高度流行环境中存在的结核病菌株的非常多样化的分布一致,这表明存在多种感染源。
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Seminal Mycobacterium Tuberculosis in vivo Transmission Studies: ReanalysisUsing Probabilistic Modelling
Much of our current knowledge of Mycobacterium tuberculosis (MTB) transmission originates from seminal human-to-guinea pig in vivo studies, carried out in the 1950s. Similar methodology has been used to investigate human immunodeficiency virus (HIV) co-infection and multidrug resistant TB. However, all these studies have had to reconcile the need to use high facility ventilation rates in order to decrease risks of human-to-human infection while demonstrating human-to-guinea pig transmission. While these studies demonstrate tuberculosis (TB) contagion can be airborne they also estimated extremely low infectivity of TB cases. However, calculated infectivity was based on a theoretical concept of quantal infection and assumed that the guinea pig model was 100% sensitivity for the remote detection of viable TB organisms in highly diluted air exhausted from the facility. High facility ventilation markedly decreases the probability of a successful guinea pig infection by both dilution of the exhaled breath and decreasing the proportion of air sampled by guinea pigs. In this study, we used a new mathematical model based on Poisson distribution and previous guinea pig experimental data to quantify a more realistic estimate of the number of infective organisms required to produce a successful infection for exposed guinea pigs in the in vivo studies. Furthermore, we explored the probability of exposed guinea pigs acquiring infection in these studies. We found that the in vivo studies to date were underestimated to demonstrate transmission derived from any but the most productive infectious cases. All four in vivo studies have remarkably low probability of infection of exposed guinea pigs due to either high ventilation rates or insensitive mathematical model used in these studies. Therefore, our analysis would suggest that the production of infective organisms by TB cases might have been markedly underestimated. This reassessment of the infectivity of guinea pigs is compatible with recent findings of very high numbers of TB genomes present in health care environments and the very diverse distribution of TB strains present in highly endemic settings which indicates a multiplicity of infective sources.
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