Intact proviral DNA assay analysis of large cohorts of people with HIV provides a benchmark for the frequency and composition of persistent proviral DNA

Francesco R. Simonetti, Jennifer A. White, Camille Tumiotto, Kristen D. Ritter, Mian Cai, Rajesh T. Gandhi, Steven G. Deeks, Bonnie J. Howell, Luis J. Montaner, Joel N. Blankson, Albine Martin, Gregory M. Laird, Robert F. Siliciano, John W. Mellors, Janet D. Siliciano

Research output: Contribution to journalArticlepeer-review

Abstract

A scalable approach for quantifying intact HIV-1 proviruses is critical for basic research and clinical trials directed at HIV-1 cure. The intact proviral DNA assay (IPDA) is a novel approach to characterizing the HIV-1 reservoir, focusing on the genetic integrity of individual proviruses independent of transcriptional status. It uses multiplex digital droplet PCR to distinguish and separately quantify intact proviruses, defined by a lack of overt fatal defects such as large deletions and APOBEC3G-mediated hypermutation, from the majority of proviruses that have such defects. This distinction is important because only intact proviruses cause viral rebound on ART interruption. To evaluate IPDA performance and provide benchmark data to support its implementation, we analyzed peripheral blood samples from 400 HIV-1+ adults on ART from several diverse cohorts, representing a robust sample of treated HIV-1 infection in the United States. We provide direct quantitative evidence that defective proviruses greatly outnumber intact proviruses (by >12.5 fold). However, intact proviruses are present at substantially higher frequencies (median, 54/106 CD4+ T cells) than proviruses detected by the quantitative viral outgrowth assay, which requires induction and in vitro growth (∼1/106 CD4+ T cells). IPDA amplicon signal issues resulting from sequence polymorphisms were observed in only 6.3% of individuals and were readily apparent and easily distinguished from low proviral frequency, an advantage of the IPDA over standard PCR assays which generate false-negative results in such situations. The large IPDA dataset provided here gives the clearest quantitative picture to date of HIV-1 proviral persistence on ART.

Original languageEnglish (US)
Pages (from-to)18692-18700
Number of pages9
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number31
DOIs
StatePublished - Aug 4 2020

Keywords

  • Cure
  • HIV
  • Ipda
  • Latency
  • Reservoir

ASJC Scopus subject areas

  • General

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