James Baxter, Ch Julián Villabona-Arenas, Robin N Thompson, Stéphane Hué, Roland R Regoes, Roger D Kouyos, Huldrych F Günthard, Jan Albert, Andrew Leigh Brown, Katherine E Atkins
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引用次数: 0
Abstract
HIV-1 transmission precipitates a stringent genetic bottleneck, with 75% of new infections initiated by a single genetic variant. Where multiple variants initiate infection, recipient set point viral load (SpVL) and the rate of CD4+ T cell decline may be elevated, but these findings remain inconsistent. Here, we summarised the evidence for this phenomenon, then tested whether previous studies possessed sufficient statistical power to reliably identify a true effect of multiple variant infection leading to higher SpVL. Next, we combined models of HIV-1 transmission, heritability and disease progression to understand whether available data suggest a faster CD4+ T cell decline would be expected to associated with multiple variant infection, without an explicit dependency between the two. First, we found that most studies had insufficient power to identify a true significant difference, prompting an explanation for previous inconsistencies. Next, our model framework revealed we would not expect to observe a positive association between multiple variant infections and faster CD4+ T cell decline, in the absence of an explicit dependency. Consequently, while empirical evidence may be consistent with a positive association between multiple variant infection and faster CD4+ T cell decline, further investigation is required to establish a causal basis.
HIV-1 的传播会造成严格的基因瓶颈,75% 的新感染由单一基因变异引发。在多个变异体引发感染的情况下,受体的设定点病毒载量(SpVL)和 CD4+ T 细胞下降率可能会升高,但这些研究结果仍不一致。在此,我们总结了这一现象的证据,然后检验了之前的研究是否具有足够的统计能力,以可靠地识别多重变异感染导致更高的 SpVL 的真实效应。接下来,我们结合了 HIV-1 传播、遗传性和疾病进展模型,以了解现有数据是否表明 CD4+ T 细胞下降速度加快与多重变异感染有关,而两者之间并不存在明确的依赖关系。首先,我们发现大多数研究没有足够的力量来确定真正的显著差异,这促使我们对之前的不一致性做出解释。其次,我们的模型框架显示,在没有明确依赖关系的情况下,我们不会期望观察到多重变异感染与 CD4+ T 细胞下降速度加快之间的正相关。因此,虽然经验证据表明多重变异感染与 CD4+ T 细胞下降速度之间存在正相关,但要确定其因果关系还需要进一步的研究。
期刊介绍:
J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.