Abstract
Background
The latent human immunodeficiency virus type 1 (HIV-1) reservoir represents a major barrier to a cure. Based on the levels of HIV-1 DNA in naive (TN) vs resting memory CD4+ T cells, it is widely hypothesized that this reservoir resides primarily within memory cells. Here, we compared virus production from TN and central memory (TCM) CD4+ T cells isolated from HIV-1–infected individuals on suppressive therapy.
Methods
CD4+ TN and TCM cells were purified from the blood of 7 HIV-1–infected individuals. We quantified total HIV-1 DNA in the CD4+ TN and TCM cells. Extracellular virion-associated HIV-1 RNA or viral outgrowth assays were used to assess latency reversal following treatment with anti-CD3/CD28 monoclonal antibodies (mAbs), phytohaemagglutinin/interleukin-2, phorbol 12-myristate 13-acetate/ionomycin, prostratin, panobinostat, or romidepsin.
Results
HIV-1 DNA was significantly higher in TCM compared to TN cells (2179 vs 684 copies/106 cells, respectively). Following exposure to anti-CD3/CD28 mAbs, virion-associated HIV-1 RNA levels were similar between TCM and TN cells (15 135 vs 18 290 copies/mL, respectively). In 4/7 donors, virus production was higher for TN cells independent of the latency reversing agent used. Replication-competent virus was recovered from both TN and TCM cells.
Conclusions
Although the frequency of HIV-1 infection is lower in TN compared to TCM cells, as much virus is produced from the TN population after latency reversal. This finding suggests that quantifying HIV-1 DNA alone may not predict the size of the inducible latent reservoir and that TN cells may be an important reservoir of latent HIV-1.
Keywords: HIV-1, latent, reservoir, naive, memory
In this study, we show that although the frequency of human immunodeficiency virus type 1 infection is lower in naïve compared to central memory cells CD4+ T cells, as much virus is produced from the naive population following latency reversal.
The reservoir of latent human immunodeficiency virus type 1 (HIV-1) that resides in resting CD4+ T cells constitutes a major barrier to a cure [1–5]. This reservoir is unaffected by the immune system or by antiretroviral therapy (ART) but has the potential to produce infectious virus, which may contribute to persistent plasma viremia during ART or viral rebound if ART is interrupted. The resting CD4+ T-cell population, however, is heterogeneous, and HIV-1 DNA has been detected in a number of different T-cell subsets, including naive (TN), stem cell-like memory (TSCM), central memory (TCM), transitional memory (TTM), effector memory (TEM), and terminally differentiated (TTD) cells [6–13]. Several studies have tried to define the relative contributions of each of these subsets to the total pool of latent HIV-1 infection by comparing total viral DNA in the sorted CD4+ T-cell subsets in peripheral blood [6–8, 12]. In general, these studies found that the TCM, TTM, and TEM cell populations consistently contained higher levels of HIV-1 DNA than TN cells. Consequently, reservoir studies have primarily focused on the memory CD4+ T-cell compartment, and the TN cell population has been largely overlooked.
In our laboratory, we recently used a primary cell model of HIV-1 latency to address differences in the establishment and reversal of viral latency in highly purified TN and TCM cells [14]. Consistent with previously published studies [15–18], we found that HIV-1 infected TN cells less efficiently than TCM cells. However, when the infected TN cells were treated with latency reversing agents (LRAs), including anti-CD3/CD28 monoclonal antibodies (mAbs), phorbol-myristate-acetate (PMA)/phytohaemagglutinin (PHA), and prostratin, as much, if not more, extracellular virion-associated HIV-1 RNA was produced per infected TN cell compared to infected TCM cell. There were no major differences in the genomic distribution of HIV-1 integration sites between TN and TCM cells that accounted for these observed differences [14]. These findings suggested that TN cells may be an important reservoir of latent HIV-1 infection and should not be overlooked simply because the frequency of infection of these cells is lower than in the memory T-cell subsets. To validate these in vitro findings, in this study, we quantified the inducible latent HIV-1 reservoirs in CD4+ TN and TCM cells from infected individuals on suppressive ART.
METHODS
Isolation of CD4+ TN and TCM Cells From HIV-1–infected Individuals on ART
Leukapheresis was performed on 7 HIV-1–infected donors who were on suppressive ART (<20 copies of HIV-1 RNA/mL plasma) for ≥5 years (Table 1). We obtained approximately 2×109 peripheral blood mononuclear cells (PBMCs) from each leukapheresis to complete the studies described. All donors provided written informed consent, and the University of Pittsburgh Institutional Review Board approved the blood donation protocol. CD4+ TN cells were isolated as previously described [14]. In 3 donors, the TSCM cells were removed from the TN population by depletion of CD95+ cells. TCM cells were isolated as previously described [14], with the addition of positive selection for CD62L+ cells after isolating the CD45RA- cells. The CD62L- fraction was also saved as the TTM+TEM cell population. In Supplementary Figure 1, we provide a detailed schematic that outlines our purification strategy. All magnetic bead purification kits and antibodies were from Miltenyi Biotec (Auburn, CA). The purity of the TN and TCM cells was assessed by flow cytometry (LSR II, BD Biosciences) using the following antibodies: CD3-V450, CD4-PerCP-Cy5.5, CD45RA-FITC, CCR7-PE, CD27-APC-H7, and CD62L-APC (BD Biosciences). Data were analyzed using FlowJo vX.0.7. The TN and TCM cell surface phenotypes were as follows: TN cells (CD45RA+, CCR7+, CD27+, CD62L+, [CD95-]) and TCM cells (CD45RA-, CCR7+, CD27+, CD62L+). TN and TCM cell purity was routinely found to be ≥98 % and ≥96 %, respectively (Supplementary Figure 2).
Table 1.
Donor No. | Sex | Age (y) | Race | Current CD4 Count, cells/mm3 | Pre-ART Viral Load, copies of HIV-1 RNA/mL | Years of Suppression | Current ART Regimen |
---|---|---|---|---|---|---|---|
1 | F | 36 | Black | 809 | 802 000 | 10.2 | TDF/FTC/RPV |
2 | F | 57 | Black | 380 | 143 000 | 5.2 | TDF/FTC/ATZ/r |
3 | M | 57 | White | 656 | 520 000 | 12 | TDF/FTC/EFV |
4 | M | 51 | White | 603 | Unknown | 7.3 | TAF/FTC/EVG/c |
5 | M | 46 | Black | 714 | 41 952 | 6.0 | ABC/3TC/EFV |
6 | F | 58 | Black | 1426 | 366 200 | 15 | TDF/FTC/RPV |
7 | F | 62 | Black | 1033 | Unknown | 10.7 | TDF/FTC/DTG |
Mean | 52 | 803 | 9.5 |
Abbreviations: 3TC, lamivudine; ABC, abacavir; ATZ/r, atazanavir/ritonavir; DTG, dolutegravir; EFV, efavirenz; EVG/c, elvitegravir/cobicistat; FTC, emtricitabine; RPV, riplivirine; TAF, tenofovir alafenamide; TDF, tenofovir disproxil fumarate.
Ex vivo Reactivation of Latent HIV-1 From CD4+ TN and TCM Cells
Purified TN and TCM cells were plated in 24-well plates at a density of 106 cells/well and cultured in the presence of 300 nM efavirenz and 300 nM raltegravir to prevent viral spread. Cells were activated for 7 days in duplicate wells with anti-CD3/CD28 mAbs (3 beads per cell; Life Technologies), 10 µg/mL PHA (Remel) + 100 U/mL interleukin 2 (IL-2; Roche), 5 nM PMA + 500 μg/mL ionomycin (Sigma), 5 µM prostratin, 17 nM panobinostat (Selleckchem; pulsed for 30 minutes), or 50 nM romidepsin (Selleckchem; pulsed for 4 hours). Unstimulated cells were used as a negative control. Two and 4 days post-activation, IL-2 (10U/mL), efavirenz (300nM), and raltegravir (300nM) were added to each well.
Quantification of Total HIV-1 DNA
Total HIV-1 DNA was quantified in freshly isolated T-cell subsets as defined in Supplementary Figure 3, as well as in pooled duplicate culture wells. Total cellular DNA was extracted and was assayed for total HIV-1 DNA by quantitative polymerase chain reaction assay (PCR), as described previously [19, 20]. Each sample was run in triplicate using the LightCycler 480 System (Roche). DNA standards were included, as described previously [21]. HIV-1 DNA was normalized to the total number of cells assayed by quantitative PCR amplification of the CCR5 gene [22].
Quantification of Extracellular Virion-associated HIV-1 RNA
Extracellular virion-associated HIV-1 RNA was extracted and quantified as previously described [14].
Quantitative Viral Outgrowth Assay
The quantitative viral outgrowth assay was carried out as previously described [23]. Infectious units per million cells (IUPM) were calculated as described previously [23, 24]. Outgrowth positive wells were determined using a p24 enzyme-linked immunosorbent assay (ZeptoMetrix Corporation).
Flow Cytometry
T-cell activation was assessed by flow cytometry using the following antibodies (from BD Biosciences): CD3-V450, CD4-PerCP-Cy5.5, CD25-PE-Cy7, CD69-PE, and HLA-DR-FITC. Cell viability was determined using a LIVE/DEAD fixable cell viability dye for flow cytometry (Invitrogen). All samples were run on an LSRII, and the data were analyzed using FlowJo vX.0.7.
Statistical Analyses
Statistical comparison between paired samples was performed using a Wilcoxon matched-pairs signed rank test. For all unpaired samples, statistics were determined using a Mann-Whitney test. For statistical comparisons between unpaired samples where N <6, statistics were determined using an unpaired t test. For all statistical analyses, P < .05 was considered significant. All statistics were calculated in GraphPad Prism v6.0.
RESULTS
Donor Characteristics
Experiments were performed using PBMC obtained from 7 (4 females, 3 males) chronically HIV-1–infected donors on suppressive ART who met the eligibility criterion of having plasma HIV-1 RNA ≤20 copies/mL for ≥5 years, with a median of 9.5 years (Table 1). The median age was 52 years. Five of the donors were black and 2 were white. The median CD4+ T-cell count at the time of leukapheresis was 803 cells/mm3.
CD4+ TN Cells Harbor Less Total HIV-1 DNA Than TCM Cells
HIV-1 DNA was detectable in both the TN and TCM subsets in all 7 donors (Figure 1A, Supplementary Table 1). However, consistent with prior studies [6–8, 25], the levels of total HIV-1 DNA were significantly higher (median fold change, 5.4; range, 1.2–14.7; P = .0175) in the TCM cells (mean, 2179 copies/106 cells; range, 723–4533) compared to TN cells (mean, 684 copies/106 cells; range, 158–1380). We also quantified total HIV-1 DNA in the combined CD4+ TTM/TEM cell population (Figure 1A). These cells harbored slightly higher levels of HIV-1 DNA compared to the TCM cells (mean fold change, 1.8; range, 1.1–3.0); however, this increase was not statistically significant. The TTM/TEM cell population, however, harbored significantly higher levels of total HIV-1 DNA vs the TN cells (P = .0006). Next, we determined the contribution of each T-cell subset to the total HIV-1 reservoir in resting CD4+ T cells as previously described [12]. First, we estimated the frequency of each T-cell subset in the resting CD4+ T cells from each donor (Figure 1B, Supplementary Figure 3). We then calculated the contribution of each CD4+ T-cell subset to the overall reservoir of HIV-1 DNA in the resting CD4+ T-cell population by taking into consideration both the frequency of each T-cell subset in the peripheral blood, as well as the frequency of the total HIV-1 DNA in that subset. We found that the CD4+ TCM population harbored the highest levels of total HIV-1 DNA (Figure 1C), consistent with previously published studies [12].
Similar Total Virus Recovery From CD4+ TN and TCM Cells Following Exposure to LRAs
We quantified total virus recovery (ie, extracellular virion-associated HIV-1 RNA in the culture supernatant) from the donor-derived TN and TCM cells after exposure to 6 different LRAs using an ultrasensitive assay capable of single-copy detection of HIV-1 RNA (Figure 2A, Supplementary Table 1). The mean number of copies of HIV-1 RNA produced per 106 cells was not significantly different between the TN and TCM subsets following treatment for any of the LRAs tested. Interestingly, in cells from 4 of the 7 donors (donors 1, 3, 5, and 7), the virion-associated HIV-1 RNA levels produced were higher for TN cells compared to TCM cells, independent of the LRA used (Supplementary Table 1). When the extracellular virion-associated RNA copies were normalized to the number of infected cells (Figure 2B), we found that more HIV-1 RNA was produced per infected TN cell than TCM cell when stimulated with anti-CD3/CD28 mAb, PHA+IL-2, PMA/PHA, or prostratin, although this did not reach statistical significance. In contrast, both romidepsin and panobinostat failed to increase virus production in either cell type in the majority of donors. This finding is consistent with other studies that demonstrated that histone deacetylase inhibitors do not consistently increase virus production ex vivo in resting CD4+ T cells from HIV-1–infected individuals on suppressive ART [26–31].
T-Cell Activation and Total Virus Recovery in CD4+ TN and TCM Cells
As described above, more HIV-1 RNA was produced per infected TN cell compared to TCM cell after exposure to anti-CD3/CD28 mAb, PHA+IL-2, PMA/PHA, or prostratin. Each of these LRAs induces T-cell activation. Therefore, we next assessed whether differences in T-cell activation between the TN and TCM cells, at the time of harvest, could potentially account for differences in total virus recovery. T-cell activation was assessed by measuring surface expression of CD25, CD69, and HLA-DR by flow cytometry (Figure 3A). We also evaluated cell viability by LIVE/DEAD staining (Figure 3B). As expected, anti-CD3/CD28 mAbs, PHA+IL-2, PMA+ionomycin, and prostratin induced T-cell activation in both TN and TCM cells. However, there were no significant differences between TN and TCM cells that could adequately account for the observed differences in total virus recovery (Figure 2A). Similarly, there were no significant differences in cell viability between TN and TCM cells following LRA stimulation (Figure 3B) or in controls (90.3% vs 89.5%, respectively).
Frequency of Replication-competent HIV-1 Is Similar in CD4+ TN and TCM Cells
The total virus recovery assay does not inform as to whether the HIV-1 is replication competent. Therefore, we also performed a quantitative viral outgrowth assay on a subset of the donors (donors 4–7) as previously described [23]. In these experiments, we included the TTM+TEM cell subset in addition to the TN and TCM cells. We detected replication-competent HIV-1 in the TN cells from all 4 donors, but only 3 of the 4 donors in TCM and TTM+TEM cells (Figure 4A). While on average higher IUPM values were determined in the TCM and TTM+TEM cells compared to the TN cells (Figure 4A), if we normalized these values to the number of infected cells, we found minimal differences in IUPM between the different subsets (Table 2).
Table 2.
Virological parameter | TCM vs TN | TTM+TEM vs TN | TCM vs TTM+TEM |
---|---|---|---|
Fold change in IUPM | 11.90 | 12.29 | 1.03 |
Fold change in HIV-1 DNA | 5.60 | 13.70 | 1.75 |
Difference in IUPM when corrected for difference in HIV-1 DNA | 2.13 | 0.90 | 0.59 |
Abbreviations: IUPM, infectious units per million cells; TCM, T central memory cell; TEM, T effector memory cell; TN, T naive cell; TTM, T transitional memory cell.
Collectively, these data highlight that TN cells are not only able to produce virus following latency reversal, but a portion of the virus produced from these cells is replication competent.
Depletion of TSCM Cells From TN Population Has No Impact on the HIV-1 DNA or Virus Recovery
CD4+ TSCM are thought to be a reservoir of latent HIV-1 in vivo [8]. TSCM and TN cells express many of the same characteristic surface markers, including CD45RA, CCR7, CD62L, CD28, CD27, IL-7Rα (CD127), and CD95. Therefore, based on our purification protocol, our TN population would include TSCM cells. We therefore removed TSCM cells from the TN population by depletion of CD95, which is expressed on TSCM but not TN cells, in 3 donors (Table 3). Consistent with previous reports, we found that the TSCM population accounted for roughly 5% of the TN cell population (range, 3.26%–6.28%) [8, 10, 32–35]. We observed no significant differences in total HIV-1 DNA (Table 3), total virus recovery (Table 3), or replication-competent HIV-1 (Figure 4B) in the total TN population vs the TN population that was lacking the TSCM cells (TN [CD95-]).
Table 3.
Donor No. | HIV-1 DNA (copies/106 cells) | HIV-1 RNA in the Supernatant (copies/mL) |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TN | TN CD95- | Anti-CD3/CD28 | Phytohaemagglutinin + Interleukin 2 | Phorbol-myristate- acetate + ionomycin | Prostratin | Panobinostat | Romidepsin | |||||||
TN | TN CD95- | TN | TN CD95- | TN | TN CD95- | TN | TN CD95- | TN | TN CD95- | TN | TN CD95- | |||
5 | 1232 | 1249 | 12 670 | 5460 | 16 100 | 5930 | 2220 | 1042 | 2465 | 1615 | 0 | 0 | 0 | 0 |
6 | 158 | 173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | 1380 | 1112 | 13 700 | 12 100 | 11 700 | 9050 | 17 400 | 15 250 | 15 860 | 12 280 | 298 | 61 | 54 | 144 |
Mean | 923 | 845 | 8790 | 5853 | 9267 | 4993 | 6540 | 5431 | 6108 | 4632 | 99 | 20 | 18 | 48 |
Abbreviations: TN, T naive cell.
DISCUSSION
The latent HIV-1 reservoir is frequently described as residing within resting memory CD4+ T cells. This is largely due to the consistent finding that memory CD4+ T cells harbor the highest levels of HIV-1 DNA in individuals on ART [10–13]. This has yielded little research into the contribution of CD4+ TN cells to the latent reservoir. In 2013 Sáez-Cirión et al reported that in some infected individuals who received ART within 10 weeks of primary infection in the French Virological and Immunological Studies in Controllers After Treatment Interruption cohort, viremia could be controlled for at least 24 months post-treatment interruption [6]. In this patient population, HIV-1 DNA was only detected in CD4+ TN cells in 2 of 11 individuals, whereas the resting memory CD4+ T-cell subsets (TCM, TTM, and TEM) harbored comparable levels of HIV-1 DNA [6]. This finding suggested to us that the latent HIV-1 reservoir in CD4+ TN cells may be more important than previously considered and could be a factor that contributes to viral control in these individuals.
Using a primary cell model of HIV-1 latency [14], we previously reported that although TN cells harbored significantly lower levels of HIV-1 DNA, they produced as many virions as did the TCM cells following latency reversal. Consistent with this in vitro data [14], in this study we show that although the frequency of HIV-1 DNA is lower in TN compared to TCM cells purified from HIV-1–infected individuals on ART, as much, if not more, virus is produced from the TN cells following exposure to LRAs (Figure 2). Importantly, we recovered replication-competent HIV-1 from the CD4+ TN, TCM, and TTM+TEM subsets. While on average higher IUPM values were determined in the TCM and TTM+TEM cells compared to the TN cells (Figure 4A), once we normalized these values to the number of infected cells, we found minimal differences in IUPM between the different subsets (Table 2). This finding suggests that a higher proportion of the HIV-1 DNA in the TN cells, compared to the TCM and TTM+TEM cells, may be intact and replication competent. Recently, Hiener et al quantified the frequency of intact proviruses in different T-cell subsets from HIV-1–infected individuals on ART [36] and found a higher proportion of intact proviruses in TN cells compared to TCM cells. Interestingly, in that study, they found that the highest frequency of intact provirus was in the TEM compartment and that no intact provirus could be recovered from the TCM compartment. However, others have found varying levels of replication-competent virus across CD4+ T-cell subsets, generally finding that TCM cells contain the highest IUPM on a population level; however, this is not consistent across all donors [12, 37]. These differences could be reflective of differences in time of infection prior to ART initiation, time on ART, or other immunological disparities. Further investigation is warranted to better understand differences in T-cell reservoirs between individuals.
In conclusion, our data highlight that quantifying HIV-1 DNA alone may not be predictive of the size of the inducible latent reservoir and further reinforce that CD4+ TN cells, which are abundant and have exceptionally long half-lives (1–8 years) [38, 39], are an important cellular reservoir of latent HIV-1 infection. There are, however, limitations to our work. First, our sample size was relatively small (n = 7). Second, our work only provided insight into the latent viral reservoir in peripheral blood and not tissue. In regard to the latter, Mavigner et al [40] recently reported that CD4+ TN cells substantially contributed (approximately 70%–80%) to the total CD4+ reservoir of Simian immunodeficiency virus (SIV) infection in both blood and lymph nodes of ART-suppressed rhesus macaques infants. In contrast, the SIV reservoir in CD4+ TN cells in the peripheral blood of ART-suppressed adult rhesus macaques was much lower (14%) but still contributed significantly to the reservoir in lymph nodes (approximately 40%–60%).
Supplementary Data
Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
Notes
Author contributions. J. M. Z., J. W. M., and N. S. C designed the study. J. M. Z., D. M., and M. S collected the data. J. M. Z. Manuscript did the statistical analysis. J. M. Z. and N. S. C. wrote the manuscript. All authors reviewed and approved the final manuscript.
Financial support. This work was supported by the National Institutes of Health (National Institute of Allergy and Infectious Diseases; grants R56AI139010 to N. S. C, T32AI065380 to J. M. Z., and funds from the National Cancer Institute under contract HHSN261200800001E to J.W.M) and the Bill & Melinda Gates Foundation (grant OPP1115715 to J.W.M.).
Potential conflicts of interest. J. W. M. is a consultant to Gilead Sciences and a shareholder of Co-Crystal, Inc. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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