| Literature DB >> 30316868 |
Marta Massanella1, Christina Yek1, Steven M Lada1, Masato Nakazawa1, Neda Shefa1, Karissa Huang1, Douglas D Richman2.
Abstract
BACKGROUND: Improved assays are critical to better characterize the HIV reservoir and to reliably evaluate candidate intervention strategies. Here we describe different methods to quantify the HIV reservoir.Entities:
Keywords: Eradication; HIV reservoir; Inducible HIV RNA; Latency; VOA
Mesh:
Substances:
Year: 2018 PMID: 30316868 PMCID: PMC6197429 DOI: 10.1016/j.ebiom.2018.09.036
Source DB: PubMed Journal: EBioMedicine ISSN: 2352-3964 Impact factor: 8.143
Characteristics of the cohort.
| All cohort | Comparison all assays | ||
|---|---|---|---|
| n = 35 | n = 19 | ||
| Age, years | 52 [47–59] | 55 [45–61] | 0.62 |
| Male, n (%) | 31 (88) | 17 (89%) | 1 |
| Time since EDI, years | 18 [11–24] | 18 [9–27] | 0.88 |
| Time on suppressed, years | 4 [1.8–7.8] | 6 [1.5–9.8] | 0.7 |
| Absolute CD4 T-cell count, cells/μl | 624 [479–758] | 525 [468–734] | 0.41 |
Fig. 1Modified Quantitative viral outgrowth assay (mQVOA). Total CD4+ T cells from ART-suppressed individuals (n = 32) were stimulated for 2 days with plate bound anti-CD3/CD28 antibodies, after which feeder cells (MOLT-4/CCR5 cells) were added. Cultures were split twice weekly and culture supernatants were collected at days 7 and 14. (A) Infectious units per million (IUPM) of assayed CD4+ T cells were calculated using the online calculator (http://silicianolab.johnshopkins.edu/) at day 7 or 14 and compared to the IUPM for wells positive at both days 7 and 14 (Positive both days IUPM), or for wells positive at either time point (Cumulative IUPM). Log10 transformed individual values and median IUPM are shown. One-way ANOVA p-values are indicated. (B) Correlation matrix between the different log10 transformed IUPM calculated from panel A are plotted. Coefficients of correlation and p-values were obtained from Pearson test. The colour and width of the ellipse show the strength of the correlation between two variables (a narrow ellipse indicates stronger correlation) and tilt the direction. (C) For each individual, we show the percentage of wells considered positive at day 7 and 14 (in yellow), only positive at day 7 (green) or only positive at day 14 (blue). (D) Mean data from panel C are summarized.
Fig. 2Characterization of Inducible RNA Assays. Limiting dilution of CD4+ T cells from ART-suppressed subjects (n = 19) were stimulated with anti-CD3/CD28 antibodies for 3 days in the presence of raltegravir. Activated cells as well as culture supernatants were extracted and analyzed for HIV RNA production by ddPCR. The frequencies of the inducible reservoir for each transcript were calculated using the same online calculator as for mQVOA (http://silicianolab.johnshopkins.edu/). (A) Inducible RNA assays can concomitantly quantify in each well the frequency of cells producing ca-RNA, including usRNA gag (green) and msRNA tat-rev (blue) and viral production (cf-RNA, red), as shown in supplemantary figure 3. For each individual, the frequency of cells expressing a given HIV RNA transcript and upper and lower CI95 are plotted. (B) For each individual, the proportion of wells with 3, 2, 1 or 0 RNA transcripts detected in the same well are shown. Pie charts were ordered by IUPM from mQVOA (when available) highlighting the correlation between cf-RNA and mQVOA. (C) Estimation of the copies of HIV RNA usRNA gag, msRNA and viral particles produced per cell in the inducible RNA assay. Total RNA copies from the limiting dilution assay (sum of all positive wells) were normalized by the frequency of cells expressing a given transcript. Log10 transformed individual values and medians are shown. One-way ANOVA p-values are indicated.
Fig. 3Comparison of HIV reservoir measured by five different assays. (A) The frequency of cells harboring replication competent virus measured by mQVOA was compared with the inducible reservoir, measured as the frequency of cells expressing gag ca-RNA, tat-rev ca-RNA or production of viral particles upon stimulation. In addition, total HIV DNA (gag) was quantified in all samples. Log10 transformed individual values and medians are shown. P-values were obtained with the student t-test for paired data. Fold-changes between mQVOA and other assays are indicated. (B) Correlation matrices between the frequencies of cells harboring HIV reservoir from Panel A are plotted (log10 transformed data). Coefficients of correlation and p-values were obtained with Pearson test. The colour and size of the circle show the strength of the correlation between two variables (a bigger circles and darker colors indicate stronger correlations). (C) Correlations between the IUPM (measured by mQVOA at day 14) and the frequency of cells harboring virus with the capacity to produce viral particles (measured by inducible cf-RNA assay). Upper and lower 95% confidence intervals are plotted for both assays. Taking into account the upper and lower 95% confidence intervals, we calculated when mQVOA and inducible cf-RNA assay had equivalent (in blue) or non-equivalent (in red) frequencies. (D) Five million CD4+ T cells were stimulated with anti-CD3/CD28 plate bound in bulk for 3 days in the presence of raltegravir. Supernatant was collected and cf-RNA was extracted, quantified by ddPCR and normalized to the number of CD4+ T cells. Log10 transformed cf-RNA copies per million of CD4+ T cells were correlated with the IUPM measured by mQVOA (day 14). Coefficients of correlation and p-values were obtained from Pearson test.