AI Article Synopsis

  • Quantitative viral outgrowth assays (QVOA) measure the latent HIV-1 reservoir using CD4+ T cells, but their accuracy and precision are not well understood, especially regarding how storage conditions affect results.
  • A Bayesian analysis of 75 blood samples from ART-suppressed individuals showed typical QVOA results could vary by 1.6 to 1.9 times from actual values, with a significant 24-fold difference between the highest and lowest assays.
  • Controlled freezing of samples had minimal impact on QVOA outcomes, allowing for effective transport and analysis; furthermore, simulating clinical trials indicated that testing therapy effects on stored samples could significantly improve the detection of reservoir size reductions.

Article Abstract

Quantitative viral outgrowth assays (QVOA) use limiting dilutions of CD4+ T cells to measure the size of the latent HIV-1 reservoir, a major obstacle to curing HIV-1. Efforts to reduce the reservoir require assays that can reliably quantify its size in blood and tissues. Although QVOA is regarded as a "gold standard" for reservoir measurement, little is known about its accuracy and precision or about how cell storage conditions or laboratory-specific practices affect results. Owing to this lack of knowledge, confidence intervals around reservoir size estimates-as well as judgments of the ability of therapeutic interventions to alter the size of the replication-competent but transcriptionally inactive latent reservoir-rely on theoretical statistical assumptions about dilution assays. To address this gap, we have carried out a Bayesian statistical analysis of QVOA reliability on 75 split samples of peripheral blood mononuclear cells (PBMC) from 5 antiretroviral therapy (ART)-suppressed participants, measured using four different QVOAs at separate labs, estimating assay precision and the effect of frozen cell storage on estimated reservoir size. We found that typical assay results are expected to differ from the true value by a factor of 1.6 to 1.9 up or down. Systematic assay differences comprised a 24-fold range between the assays with highest and lowest scales, likely reflecting differences in viral outgrowth readout and input cell stimulation protocols. We also found that controlled-rate freezing and storage of samples did not cause substantial differences in QVOA compared to use of fresh cells (95% probability of < 2-fold change), supporting continued use of frozen storage to allow transport and batched analysis of samples. Finally, we simulated an early-phase clinical trial to demonstrate that batched analysis of pre- and post-therapy samples may increase power to detect a three-fold reservoir reduction by 15 to 24 percentage points.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481870PMC
http://dx.doi.org/10.1371/journal.pcbi.1006849DOI Listing

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