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量化人类免疫缺陷病毒-1 从细胞毒性 T 淋巴细胞逃逸的影响。

Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.

机构信息

Department of Immunology, Division of Medicine, Imperial College London, London, United Kingdom.

出版信息

PLoS Comput Biol. 2010 Nov 4;6(11):e1000981. doi: 10.1371/journal.pcbi.1000981.

Abstract

HIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4(+) T cell count has not been quantified, primarily because of sparse longitudinal data and the difficulty of separating cause and effect in cross-sectional studies. We use two independent methods to quantify the impact of HIV-1 escape from CTLs in chronic infection: mathematical modelling of escape and statistical analysis of a cross-sectional cohort. Mathematical modelling revealed a modest increase in log viral load of 0.051 copies ml(-1) per escape event. Analysis of the cross-sectional cohort revealed a significant positive association between viral load and the number of "escape events", after correcting for length of infection and rate of replication. We estimate that a single CTL escape event leads to a viral load increase of 0.11 log copies ml(-1) (95% confidence interval: 0.040-0.18), consistent with the predictions from the mathematical modelling. Overall, the number of escape events could only account for approximately 6% of the viral load variation in the cohort. Our findings indicate that although the loss of the CTL response for a single epitope results in a highly statistically significant increase in viral load, the biological impact is modest. We suggest that this small increase in viral load is explained by the small growth advantage of the variant relative to the wildtype virus. Escape from CTLs had a measurable, but unexpectedly low, impact on viral load in chronic infection.

摘要

HIV-1 逃避细胞毒性 T 淋巴细胞(CTL)反应会导致病毒控制减弱,可能对患者有害。迄今为止,尚未对逃逸对病毒载量和 CD4(+)T 细胞计数的影响进行量化,主要是因为纵向数据稀疏,以及在横断面研究中难以区分因果关系。我们使用两种独立的方法来量化慢性感染中 HIV-1 逃避 CTL 的影响:逃逸的数学建模和横断面队列的统计分析。数学建模显示,逃逸事件每增加一次,对数病毒载量就会适度增加 0.051 个拷贝/ml。对横断面队列的分析显示,在纠正感染时间和复制率后,病毒载量与“逃逸事件”数量之间存在显著正相关。我们估计,单个 CTL 逃逸事件会导致病毒载量增加 0.11 个对数拷贝/ml(95%置信区间:0.040-0.18),与数学建模的预测一致。总体而言,逃逸事件的数量只能解释队列中病毒载量变化的约 6%。我们的研究结果表明,尽管单个表位的 CTL 反应丧失会导致病毒载量的高度统计学显著增加,但生物学影响是适度的。我们认为,这种病毒载量的微小增加可以用变异体相对于野生型病毒的微小生长优势来解释。CTL 逃避在慢性感染中对病毒载量的影响可测量,但出乎意料的低。

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