Integrated and Total HIV-1 DNA Predict <i>Ex Vivo</i> Viral Outgrowth

The persistence of a reservoir of latently infected CD4 T cells remains one of the major obstacles to cure HIV. Numerous strategies are being explored to eliminate this reservoir. To translate these efforts into clinical trials, there is a strong need for validated biomarkers that can monitor the reservoir over time in vivo. A comprehensive study was designed to evaluate and compare potential HIV-1 reservoir biomarkers. A cohort of 25 patients, treated with suppressive antiretroviral therapy was sampled at three time points, with median of 2.5 years (IQR: 2.4–2.6) between time point 1 and 2; and median of 31 days (IQR: 28–36) between time point 2 and 3. Patients were median of 6 years (IQR: 3–12) on ART, and plasma viral load (<50 copies/ml) was suppressed for median of 4 years (IQR: 2–8). Total HIV-1 DNA, unspliced (us) and multiply spliced HIV-1 RNA, and 2LTR circles were quantified by digital PCR in peripheral blood, at 3 time points. At the second time point, a viral outgrowth assay (VOA) was performed, and integrated HIV-1 DNA and relative mRNA expression levels of HIV-1 restriction factors were quantified. No significant change was found for long- and short-term dynamics of all HIV-1 markers tested in peripheral blood. Integrated HIV-1 DNA was associated with total HIV-1 DNA (p<0.001, R² = 0.85), us HIV-1 RNA (p = 0.029, R² = 0.40), and VOA (p = 0.041, R2 = 0.44). Replication-competent virus was detected in 80% of patients by the VOA and it correlated with total HIV-1 DNA (p = 0.039, R² = 0.54). The mean quantification difference between Alu-PCR and VOA was 2.88 log10, and 2.23 log10 between total HIV-1 DNA and VOA. The levels of usHIV-1 RNA were inversely correlated with mRNA levels of several HIV-1 restriction factors (TRIM5α, SAMHD1, MX2, SLFN11, pSIP1). Our study reveals important correlations between the viral outgrowth and total and integrated HIV-1 DNA measures, suggesting that the total pool of HIV-1 DNA may predict the size of the replication-competent virus in ART suppressed patients.

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PID https://www.doi.org/10.1371/journal.ppat.1005472
URL https://figshare.com/articles/Integrated_and_Total_HIV_1_DNA_Predict_i_Ex_Vivo_i_Viral_Outgrowth/3099337
URL http://dx.doi.org/10.1371/journal.ppat.1005472
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Author Kiselinova, Maja
Author De Spiegelaere, Ward
Author Jose Buzon, Maria
Author Malatinkova, Eva
Author Lichterfeld, Mathias
Author Vandekerckhove, Linos
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Collected From figshare
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Publication Date 2016-01-01
Publisher Figshare
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::6ce1f56835b321d5b9d7fa4aac8be034
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Last Updated 16 December 2020, 04:24 (CET)
Created 16 December 2020, 04:24 (CET)