预防试验中HIV获取日期的贝叶斯估计。

IF 4.7 1区 生物学 Q1 MICROBIOLOGY
mBio Pub Date : 2025-10-08 Epub Date: 2025-09-09 DOI:10.1128/mbio.01881-25
Raabya Rossenkhan, Elena E Giorgi, Danica Shao, James Ludwig, Phillip Labuschagne, Craig A Magaret, Thumbi Ndung'u, Daniel Muema, Kamini Gounder, Krista L Dong, Bruce D Walker, Morgane Rolland, Merlin L Robb, Leigh Anne Eller, Fredrick Sawe, Sorachai Nitayaphan, Eduard Grebe, Michael P Busch, Kevin P Delaney, Shelley Facente, Lindsay N Carpp, Allan C deCamp, Yunda Huang, Bette Korber, Michal Juraska, Erika Rudnicki, Ewelina Kosmider, Daniel B Reeves, Bryan T Mayer, John Hural, Wenjie Deng, Dylan H Westfall, Anna Yssel, David Matten, Tanmoy Bhattacharya, Lawrence Corey, Peter B Gilbert, Carolyn Williamson, James I Mullins, Paul T Edlefsen
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引用次数: 0

摘要

在艾滋病毒预防试验中,准确估计参与者感染艾滋病毒的时间对于确定感染时的抗体水平是必要的。抗体介导的预防(AMP)研究表明,被动给予广泛中和抗体可以防止从中和敏感病毒获得HIV。我们开发了一个管道,用于估计AMP研究参与者中可检测的HIV获取(DDA)的日期,使用诊断和病毒序列数据。使用贝叶斯策略,结合三个数据流(REN [rev/vpu/env/Δnef]序列,GP [gag/Δpol]序列和诊断),其中95%可信区间基于预先指定的标准和决策规则重叠。我们使用来自两项前瞻性急性HIV获得队列研究(FRESH和RV217)的41名参与者的PacBio病毒序列数据评估了我们的AMP管线的性能,每周采样两次。这些队列研究分别招募了南非的年轻女性以及肯尼亚和泰国的男性和女性,他们感染艾滋病毒的可能性很高。在评价表现时,“真DDA”是最后一次阴性和首次阳性RNA诊断试验之间界限的中心(中位时间4天,范围2-7天);偏倚是估计DDA与真实DDA之间的平均差异。单独使用诊断数据得出的时间估计偏差为2.4天,均方根误差(RMSE)为7.9天。使用序列+诊断数据(偏差1.5天,RMSE 6.9天)以及将基于序列的估计限制在dda后≤5周的样本(偏差0.2天,RMSE 7.8天),这些结果得到了改善。在艾滋病毒预防试验中,准确估计个体参与者何时感染艾滋病毒可用于估计感染时的抗体水平,这有助于预测预防所需的抗体水平。我们在这里报告的结果表明,如果在未来的广泛中和抗体(bnAb)联合方案或多特异性bnAb预防HIV的临床试验中使用基于序列的获取时间估计,则至少需要每月的采样频率。此外,在这里分析的样本中,我们观察到在基于序列的时间估计中所取样本的偏差较小
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian estimation of HIV acquisition dates for prevention trials.

Accurate timing estimates of when participants acquire HIV in HIV prevention trials are necessary for determining antibody levels at acquisition. The Antibody-Mediated Prevention (AMP) Studies showed that a passively administered broadly neutralizing antibody can prevent the acquisition of HIV from a neutralization-sensitive virus. We developed a pipeline for estimating the date of detectable HIV acquisition (DDA) in AMP Study participants using diagnostic and viral sequence data. Using a Bayesian strategy that combines three streams of data (REN [rev/vpu/env/Δnef] sequence, GP [gag/Δpol] sequence, and diagnostic) where their 95% credible intervals overlap based on pre-specified criteria and decision rules. We evaluated the performance of our AMP pipeline using PacBio viral sequence data from 41 participants across two prospective acute HIV acquisition cohort studies, FRESH and RV217, with twice-weekly sampling. These cohort studies enrolled young women in South Africa and men and women in Kenya and Thailand, respectively, with a high likelihood of HIV acquisition. In evaluating performance, "true DDA" was the center of bounds between last-negative and first-positive RNA diagnostic tests (median time 4 days, range 2-7 days); bias was the mean difference between estimated and true DDA. Using diagnostic data alone yielded timing estimates with a bias of 2.4 days and root mean square error (RMSE) of 7.9 days. These results were improved using sequence + diagnostic data (bias 1.5 days, RMSE 6.9 days), as well as by restricting sequence-based estimation to samples from ≤5 weeks post-DDA (bias 0.2 days, RMSE 7.8 days).IMPORTANCEIn HIV prevention trials, accurate timing estimates of when individual participants acquire HIV can be used to estimate antibody levels at the time of acquisition, which is useful for projecting antibody levels needed for prevention. The results we report here suggest that if sequence-based estimation of acquisition timing is used in future clinical trials of combination broadly neutralizing antibody (bnAb) regimens or multispecific bnAbs for HIV prevention, a sampling frequency of at least monthly is needed. Moreover, in the samples analyzed here, we observed less bias in sequence-based timing estimation for samples taken <5 weeks post-DDA. This observation is consistent with the timing of immune-driven selective pressures that may negatively impact the power to detect acquisition sieve effects.

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来源期刊
mBio
mBio MICROBIOLOGY-
CiteScore
10.50
自引率
3.10%
发文量
762
审稿时长
1 months
期刊介绍: mBio® is ASM''s first broad-scope, online-only, open access journal. mBio offers streamlined review and publication of the best research in microbiology and allied fields.
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