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下一代测序在 HIV 感染的直接模型中揭示了与储库动力学的重要相似之处和差异。

Next-Generation Sequencing in a Direct Model of HIV Infection Reveals Important Parallels to and Differences from Reservoir Dynamics.

机构信息

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.

出版信息

J Virol. 2020 Apr 16;94(9). doi: 10.1128/JVI.01900-19.

DOI:10.1128/JVI.01900-19
PMID:32051279
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7163122/
Abstract

Next-generation sequencing (NGS) represents a powerful tool to unravel the genetic make-up of the HIV reservoir, but limited data exist on its use Moreover, most NGS studies do not separate integrated from unintegrated DNA, even though selection pressures on these two forms should be distinct. We reasoned we could use NGS to compare the infection of resting and activated CD4 T cells to address how the metabolic state affects reservoir formation and dynamics. To address these questions, we obtained HIV sequences 2, 4, and 8 days after NL4-3 infection of metabolically activated and quiescent CD4 T cells (cultured with 2 ng/ml interleukin-7). We compared the composition of integrated and total HIV DNA by isolating integrated HIV DNA using pulsed-field electrophoresis before performing sequencing. After a single-round infection, the majority of integrated HIV DNA was intact in both resting and activated T cells. The decay of integrated intact proviruses was rapid and similar in both quiescent and activated T cells. Defective forms accumulated relative to intact ones analogously to what is observed Massively deleted viral sequences formed more frequently in resting cells, likely due to lower deoxynucleoside triphosphate (dNTP) levels and the presence of multiple restriction factors. To our surprise, the majority of these deleted sequences did not integrate into the human genome. The use of NGS to study reservoir dynamics provides a model that recapitulates important aspects of reservoir dynamics. Moreover, separating integrated from unintegrated HIV DNA is important in some clinical settings to properly study selection pressures. The major implication of our work is that the decay of intact proviruses is extremely rapid, perhaps as a result of enhanced expression. Gaining a better understanding of why intact proviruses decay faster might help the field identify strategies to purge the reservoir When used wisely, models are a powerful tool to study the selective pressures shaping the viral landscape. Our finding that massively deleted sequences rarely succeed in integrating has several ramifications. It demonstrates that the total HIV DNA can differ substantially in character from the integrated HIV DNA under certain circumstances. The presence of unintegrated HIV DNA has the potential to obscure selection pressures and confound the interpretation of clinical studies, especially in the case of trials involving treatment interruptions.

摘要

下一代测序(NGS)代表了一种强大的工具,可以揭示 HIV 储库的遗传构成,但关于其使用的有限数据仍然存在。此外,大多数 NGS 研究并未将整合和未整合的 DNA 分开,尽管这两种形式应该受到不同的选择压力。我们认为,我们可以使用 NGS 来比较静止和激活的 CD4 T 细胞的感染情况,以解决代谢状态如何影响储库的形成和动态。为了解决这些问题,我们在代谢激活和静止的 CD4 T 细胞(用 2ng/ml 白细胞介素 7 培养)中获得了 NL4-3 感染后 2、4 和 8 天的 HIV 序列。我们通过脉冲场电泳分离整合的 HIV DNA 后,使用 NGS 比较整合和总 HIV DNA 的组成。在单次感染后,大多数整合的 HIV DNA 在静止和激活的 T 细胞中都是完整的。在静止和激活的 T 细胞中,整合完整前病毒的衰减速度都很快且相似。类似于我们观察到的,缺陷形式相对于完整形式积累。大量缺失的病毒序列更频繁地在静止细胞中形成,可能是由于脱氧核苷三磷酸(dNTP)水平较低和存在多种限制因子。令我们惊讶的是,这些缺失序列中的大多数都没有整合到人类基因组中。使用 NGS 研究储库动态为研究储库动态提供了一个模型,该模型可以再现储库动态的重要方面。此外,在某些临床环境中,将整合和未整合的 HIV DNA 分开对于正确研究选择压力非常重要。我们工作的主要意义是,完整前病毒的衰减速度非常快,这可能是由于表达增强所致。更好地了解为什么完整的前病毒会更快衰减,可能有助于该领域确定清除储库的策略。明智地使用模型是研究塑造病毒景观的选择性压力的有力工具。我们的发现表明,在某些情况下,大量缺失的序列很少成功整合,这具有多种影响。它表明,在某些情况下,总 HIV DNA 的特征与整合的 HIV DNA 有很大不同。未整合的 HIV DNA 的存在有可能掩盖选择压力并混淆临床研究的解释,特别是在涉及治疗中断的试验中。