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A time lag insensitive approach for estimating HIV-1 transmission direction

机译:一种估计HIV-1传播方向的时滞不敏感方法

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Objectives: Identifying the direction of transmission in transmission pairs is important both for forensic investigations and for the monitoring of HIV epidemics, however, reliable methods are not yet available due to the long time lag between infection and sampling in most real cases. DESIGNS:: Based on bottleneck effect and coreceptor switching, we aimed at identifying an estimator from sequences of viral gp120 proteins to determine transmission direction between transmission pairs. The estimator should be changed with HIV transmission but was independent of disease progression in an individual. Methods: Here, we present a novel and reliable approach for identifying transmission direction. We derived a set of conserved patterns, called common patterns, from the sequences of viruses, which differed in their coreceptor usage. The number of unique common patterns in viral sequences decreased with transmission but remained almost constant with the progress of disease in an individual. We used this number as an estimator to determine transmission direction in 73 transmission pairs for which the transmission direction was already known. Results: Our method predicted transmission direction with an accuracy of up to 94.5%. Of greater importance, our approach was not influenced by time lags between infection and sampling, and even transmission direction for transmission pairs with long time lags ranging from 2 years to more than 18 years were correctly determined. Conclusion: Our approach for accurately determining transmission direction between transmission pairs is irrespective of the time lag between infection and sampling, which means a promising applications prospect.
机译:目标:识别传播对中的传播方向对于法医调查和HIV流行病监测都非常重要,但是,由于在大多数实际病例中,感染和采样之间存在较长的时间间隔,因此尚无可靠的方法。设计:基于瓶颈效应和共感受器转换,我们旨在从病毒gp120蛋白序列中确定一个估计子,以确定传播对之间的传播方向。估计数应随着艾滋病毒的传播而改变,但与个体的疾病进展无关。方法:在这里,我们提出了一种新颖,可靠的方法来确定传输方向。我们从病毒序列中衍生出了一组保守模式,称为共同模式,它们的共受体用法不同。病毒序列中独特常见模式的数量随传播而减少,但随着个体疾病的进展几乎保持恒定。我们使用此数字作为估算器来确定73个传输对中的传输方向,这些传输对已知传输方向。结果:我们的方法预测传输方向,准确度高达94.5%。更重要的是,我们的方法不受感染和采样之间时间间隔的影响,甚至正确确定了时间间隔从2年到18年以上的传播对的传播方向。结论:无论感染与采样之间存在时间滞后,我们准确确定传输对之间传输方向的方法都具有广阔的应用前景。

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