Using viral sequence diversity to estimate time of HIV infection in infants.

Age at HIV acquisition may influence viral pathogenesis in infants, and yet infection timing (i.e. date of infection) is not always known. Adult studies have estimated infection timing using rates of HIV RNA diversification, however, it is unknown whether adult-trained models can provide accurate predictions when used for infants due to possible differences in viral dynamics. While rates of viral diversification have been well defined for adults, there are limited data characterizing these dynamics for infants. Here, we performed Illumina sequencing of gag and pol using longitudinal plasma samples from 22 Kenyan infants with well-characterized infection timing. We used these data to characterize viral diversity changes over time by designing an infant-trained Bayesian hierarchical regression model that predicts time since infection using viral diversity. We show that diversity accumulates with time for most infants (median rate within pol = 0.00079 diversity/month), and diversity accumulates much faster than in adults (compare previously-reported adult rate within pol = 0.00024 diversity/month [1]). We find that the infant rate of viral diversification varies by individual, gene region, and relative timing of infection, but not by set-point viral load or rate of CD4+ T cell decline. We compare the predictive performance of this infant-trained Bayesian hierarchical regression model with simple linear regression models trained using the same infant data, as well as existing adult-trained models [1]. Using an independent dataset from an additional 15 infants with frequent HIV testing to define infection timing, we demonstrate that infant-trained models more accurately estimate time since infection than existing adult-trained models. This work will be useful for timing HIV acquisition for infants with unknown infection timing and for refining our understanding of how viral diversity accumulates in infants, both of which may have broad implications for the future development of infant-specific therapeutic and preventive interventions.

Predictors of intact HIV DNA levels among children in Kenya.

OBJECTIVE: We determined predictors of both intact (estimate of replication-competent) and total (intact and defective) HIV DNA in the reservoir among children with HIV. DESIGN: HIV DNA in the reservoir was quantified longitudinally in children who initiated antiretroviral therapy (ART) at less than 1 year of age using a novel cross-subtype intact proviral DNA assay that measures both intact and total proviruses. Quantitative PCR was used to measure pre-ART cytomegalovirus (CMV) viral load. Linear mixed effects models were used to determine predictors of intact and total HIV DNA levels (log 10 copies/million). RESULTS: Among 65 children, median age at ART initiation was 5 months and median follow-up was 5.2 years; 86% of children had CMV viremia pre-ART. Lower pre-ART CD4 + percentage [adjusted relative risk (aRR): 0.87, 95% confidence intervals (95% CI): 0.79-0.97; P  = 0.009] and higher HIV RNA (aRR: 1.21, 95% CI: 1.06-1.39; P  = 0.004) predicted higher levels of total HIV DNA during ART. Pre-ART CD4 + percentage (aRR: 0.76, 95% CI: 0.65-0.89; P < 0.001), CMV viral load (aRR: 1.16, 95% CI: 1.01-1.34; P  = 0.041), and first-line protease inhibitor-based regimens compared with nonnucleoside reverse transcriptase-based regimens (aRR: 1.36, 95% CI: 1.04-1.77; P  = 0.025) predicted higher levels of intact HIV DNA. CONCLUSION: Pre-ART immunosuppression, first-line ART regimen, and CMV viral load may influence establishment and sustainment of intact HIV DNA in the reservoir.

Protocol for high-throughput reservoir quantification across global HIV subtypes using a cross-subtype intact proviral DNA assay.

The cross-subtype intact proviral DNA assay (CS-IPDA) is a high-throughput method to quantify HIV reservoir size in populations infected with any of the dominant global HIV-1 subtypes. Our protocol includes genomic DNA isolation optimized to minimize DNA shearing, a reference droplet digital PCR (ddPCR) assay to quantify T cells and assess DNA shearing, and a multiplex ddPCR targeting three distinct regions across the HIV genome to quantify intact proviruses as an estimate of replication-competent proviruses in the reservoir. For complete details on the use and execution of this protocol, please refer to Cassidy et al. (2022).

HIV reservoir quantification using cross-subtype multiplex ddPCR.

A major barrier to conducting HIV cure research in populations with the highest HIV burden is the lack of an accurate assay to quantify the replication-competent reservoir across the dominant global HIV-1 subtypes. Here, we modify a subtype B HIV-1 assay that quantifies both intact and defective proviral DNA, adapting it to accommodate cross-subtype HIV-1 sequence diversity. We show that the cross-subtype assay works on subtypes A, B, C, D, and CRF01_AE and can detect a single copy of intact provirus. In longitudinal blood samples from Kenyan infants infected with subtypes A and D, patterns of intact and total HIV DNA follow the decay of plasma viral load over time during antiretroviral therapy, with intact HIV DNA comprising 7% (range 1%-33%) of the total HIV DNA during HIV RNA suppression. This high-throughput cross-subtype reservoir assay will be useful in HIV cure research in Africa and Asia, where HIV prevalence is highest.

A highly multiplexed droplet digital PCR assay to measure the intact HIV-1 proviral reservoir.

Quantifying the replication-competent HIV reservoir is essential for evaluating curative strategies. Viral outgrowth assays (VOAs) underestimate the reservoir because they fail to induce all replication-competent proviruses. Single- or double-region HIV DNA assays overestimate it because they fail to exclude many defective proviruses. We designed two triplex droplet digital PCR assays, each with 2 unique targets and 1 in common, and normalize the results to PCR-based T cell counts. Both HIV assays are specific, sensitive, and reproducible. Together, they estimate the number of proviruses containing all five primer-probe regions. Our 5-target results are on average 12.1-fold higher than and correlate with paired quantitative VOA (Spearman's ρ = 0.48) but estimate a markedly smaller reservoir than previous DNA assays. In patients on antiretroviral therapy, decay rates in blood CD4+ T cells are faster for intact than for defective proviruses, and intact provirus frequencies are similar in mucosal and circulating T cells.