Abstract
Background
HIV Elite controllers (EC) suppress HIV viremia without ART, yet previous studies demonstrated that EC maintain an activated T cell phenotype. Chronic immune activation has detrimental consequences and thus ART has been advocated for all EC. However, EC is not a clinically homogenous group. Since CD4% is among the best predictors of AIDS related events, in the current study, we assessed whether this marker can be used to stratify EC needing ART.
Methods
Sixteen EC were divided into 2 groups based on CD4% (EChi>40% and EClo ≤40%), and T cell subsets were analyzed for markers of memory/differentiation (CD45RA, CCR7, CD28), activation (CD38/HLA-DR), immunosenescence (CD57), co-stimulation (CD73, CD28) and exhaustion (PD-1, CD160, Tim-3). Monocyte subsets (CD14, CD16) were also analyzed and sCD14 levels were quantified using ELISA.
Results
In the EChi group, expression of activation, exhaustion, and immunosensescence markers on T cells were significantly reduced compared to the EClo group and similar to the seronegative controls. The EChi group expressed higher levels of co-stimulatory molecules CD28 and CD73 and had lower levels of monocyte activation (HLA-DR expression) with a reduced frequency of inflammatory monocyte (CD14++CD16+) subset. Furthermore, the EChi group maintained a stable CD4% during a median follow up of six years.
Conclusions
Elite controllers with preserved CD4 T cells (EChi) have normal T cell and monocyte phenotypes and therefore may have limited benefit from antiretroviral therapy (ART). CD4% can be an important marker for evaluating future studies aimed at determining the need for ART in this group of individuals.
Keywords: HIV, elite controllers, immune activation, CD4 counts, CD4%, immune exhaustion, T cells
INTRODUCTION
A minority of HIV infected individuals (less than 1% of the total HIV infected population) control HIV with low or undetectable plasma viral loads (pVL) in the absence of antiretroviral treatment (ART). These rare individuals, identified as elite controllers (EC), represent an excellent in-vivo model of spontaneous HIV control [1, 2].
Published data suggest that EC maintain durable viral control through an armamentarium of virological, immunological and genetic features [1, 3, 4]. Notably, polyfunctional T cells, capable of cytokine secretion, proliferation, and cytotoxicity are maintained in these controllers [4–9]. Additional important aspects of their T cell function have been reported, including low levels of T-cell activation [10], up regulation of survival factors such as bcl-2 [11], up regulation of cyclin dependent kinase inhibitors such as p21 [12] and higher frequency of expression of costimulatory molecule CD73 [13]. Furthermore, cells from EC are less susceptible to infection and effectively suppress in-vitro HIV replication [8, 14]. The EC group is also enriched for HLA-B*27 and B*57 alleles that have been associated with protection from HIV disease progression [15, 16].
Despite these advantages, EC fail to clear HIV infection. Ultra-sensitive assays measuring plasma viral load (pVL) indicate that residual pVL remains higher in some EC than in ART treated individuals [17, 18]. Additionally, CD4 T cells from EC can harbor pathogenic replication competent virus that may contribute to excess T cell activation [19, 20]. Interestingly a recent SIV study suggested that effector CD8 T cells are unable to access B cell follicles and target infected T follicular helper cells. The latter probably serves as a viral reservoir responsible for the low level and persistent antigenemia [21]. Alterations in innate immune function have also been reported in EC with increased inflammatory monocytes compared to HIV uninfected controls [22]. Recently, EC have also been shown to have elevated levels of key soluble inflammatory markers [23] and higher hospitalization rates than ART treated individuals [24].
Up regulation of T cell immune activation markers (CD38, HLA-DR and/or Ki67) is a well described feature of chronic HIV infection [10, 25, 26] linked with disease progression [10, 27]. It is likely that low level viremia is one factor contributing to elevated innate and adaptive immune activation in EC that remains higher than HIV-1 seronegative and ART treated individuals [10, 18]. However, even with suppressive ART, key markers of immune activation are not reduced to levels that are on par with HIV-1 seronegative individuals. As a consequence, despite being on ART, HIV infected individuals are at increased risk of inflammation associated co-morbidities [10, 28, 29].
Since persistent immune activation and the ensuing inflammation can have detrimental consequences, it has thus been suggested all EC may benefit from ART [19, 30]. However, HIV controllers are not a homogenous group [31–34] whereby some individuals maintain absolute CD4 counts over time whereas others display activation induced loss [10, 35, 36]. Furthermore, a prior study demonstrated an inverse correlation between absolute CD4 T cell counts and T cell immune activation [10] suggesting a dynamic range in immune activation within HIV controllers. A discriminatory marker to identify ECs who are more likely to have persistent immune dysfunction would aid clinicians in assessing who may benefit the most from early ART initiation.
CD4% has been used to stratify individuals needing ART since it is among the best predictors of AIDS related events [37–40]. We, therefore, assessed expression levels of immune activation/exhaustion markers on T cells based on the CD4% of HIV infected patients. EC with preserved CD4 T cell percentages (EChi) had significantly lower levels of activated/exhausted HIV-specific CD8 T cells than EC with low CD4 T cell percentages (EClo) and the former mirrored the seronegative controls. Based on these results, EClo may benefit the most by initiating ART or other inflammation reducing treatments while no evidence was obtained to suggest that such treatments would benefit the EChi group.
MATERIALS AND METHODS
Study cohort
Cryopreserved PBMC and plasma samples from 25 HIV-1 infected patients receiving care at the 1917 clinic at the University of Alabama at Birmingham and 8 HIV-1 seronegative (SN) volunteers enrolled in the AVRC clinic at UAB were used in this study. All HIV infected patients were off ART. The elite controllers (EC) used in this study met the criteria of consecutive undetectable HIV-RNA measurements for greater than six months or with greater than 90% of these measurements being less than 400 copies/ml over several years as suggested by a prior study [41]. The EC were divided into two groups based on their longitudinal CD4% over a median of 6.2 years of follow-up. These were EChi (pVL low to undetectable, median CD4% >40, n=9) and EClo (pVL low to undetectable, median CD4% ≤40, n=7). We compared the two elite controller groups against 2 comparator groups i.e. HIV seronegative (SN) and HIV-1 non-controllers (pVL>10,000 copies/ml, n=9, NC). Local institutional IRB approval was obtained and all participants consented to this study.
Polychromatic flow cytometry
Cryopreserved PBMC were thawed and surface stained using fluorochrome conjugated antibodies in three different panels in parallel to assess ex-vivo expression levels of activation, exhaustion, immunosenescence and memory markers. The cells were stained with LIVE/DEAD cell dye (Invitrogen), washed, and surface labeled with the following antibodies: Panel 1 – anti-CD3 (APC-eFluor 780, eBioscience), anti-CD4 (Qdot655, Invitrogen), anti-CD8 (V500, BD), anti-CD45Ra (Brilliant Violet 421, BD), anti-CCR7 (PercpCy5.5, BD), anti-CD28 (PE, BD), anti-CD57 (FITC, BD), and anti-PD1 (APC, eBioscience); Panel 2 – anti-CD3, anti-CD4, anti-CD8, anti-CD38 (PE, BD), anti-HLADR (PercpCy5.5, BD), anti-CD73 (PECy7, BD), anti-PD1, anti-CD160 (Alexa488, BD), and anti-TIM3 (Brilliant Violet 421, Biolegend); Panel 3 – anti-CD3, anti-CD14 (Alexa700, BD), anti-CD16 (FITC, BD), anti-HLADR, anti-CCR2 (Alexa647, BD), anti-CX3CR1 (PE, BD), and anti-CD11b (PECy7, BD). CCR7 staining was performed first by incubating cells at 37°C for 15 minutes, followed by washing and staining for all other surface markers for 20 minutes at 4°C. Samples were washed, fixed in 2% paraformaldehyde and analyzed on a BD flow cytometer (LSR II). At least 100,000 CD3+ events were acquired and the data were analyzed using FlowJo software (version 9.7, Tree Star Inc). Frequency and mean fluorescence intensity (MFI) data were analyzed and compared for all single markers. Boolean combination gating was performed to analyze combinations of 3 or more markers.
Soluble CD14 ELISA
Plasma levels of sCD14 were quantified using a Human sCD14 Quantikine® ELISA kit (R&D Systems, Minneapolis, MN). Briefly, plasma samples were prefiltered, UV inactivated, diluted 1:200 and incubated in plates pre-coated with anti-human sCD14 antibody for 3 hours. After washing, plate-bound sCD14 was detected with an HRP-conjugated anti-sCD14 antibody for 1 hour. The plate was developed using TMB for 30 minutes before 2N H2SO4 stop solution was added. Plate-bound sCD14 was quantified by measuring the absorbance at 450nm with a wavelength correction at 540nm using a BioTek Synergy HT reader. Plasma levels of sCD14 were interpolated from the standard curve using Microsoft Excel software.
Statistical analyses
For the categorical variables, both chi-square and Fisher’s exact tests were performed. For continuous variables the non-parametric Kruskal-Wallis test was used to assess differences among the four groups. The expression of markers between the groups was compared pairwise using the non-parametric Mann-Whitney Test and covariation between two variables was quantified using the non-parametric Spearman correlation. Clinical data (CD4% and absolute CD4 count) for each individual at multiple longitudinal time points were obtained. The mean values for each of the above clinical data for the EChi and EClo groups at each time point were graphed and fit with a linear regression line. The slopes of the regression lines were compared using ANCOVA. The overall change in these two measures from the first to last available time points was also calculated and the medians for each group were compared using non-parametric Mann-Whitney Test. All analyses were performed using Prism software (version 6, GraphPad Software Inc).
RESULTS
Heterogeneity in the frequency and magnitude of CD4 T cells in the elite controller group
We categorized two EC groups based on the median CD4% for each individual and whether that individual maintained their categorical CD4% over time. We chose 40% CD4 as a cut-off since the median of the EC group as a whole was 41% and designated the two groups as EChi (CD4% >40) and EClo (CD4% ≤ 40).
After a median follow up of 6.2 years, clinical data revealed clear heterogeneity between the two EC groups (figure 1) with respect to absolute CD4 counts and CD4%. While there was significant overlap for the median absolute CD4 T cell count for both EChi and EClo groups, there were distinct differences in the median CD4 percentage, as expected (figure 1 A and B). While most individuals demonstrated relatively stable CD4% and absolute count over time (figure 1C and D), there was a trend for a decrease in CD4% (figure 1C, p=0.067) in the EClo group compared to the EChi group.
Figure 1. Longitudinal clinical data for all elite controller individuals.
CD4 values (% and absolute count) for all patients in each of the two elite controller groups (EChi and EClo) for each longitudinal time point were averaged and a linear regression line was fit to each data set. The slopes of the regression lines were compared using two-tailed ANCOVA and the p-value is shown (A and B). The change between the first and last clinical value was calculated for each person and the median change between the 2 groups was compared with two-tailed Mann–Whitney test (C and D).
Furthermore, pVL was lower in the EChi group and with fewer intermittent viral blips compared to the EClo group (supplementary figure 1). Given these clinical distinctions among the two EC groups, we evaluated whether a higher CD4% equated with lower levels of expression of cellular markers of activation and exhaustion.
The demographic and clinical features of the study subjects in each group are shown in Table 1. Most HIV infected subjects were African-American who acquired HIV through heterosexual or MSM transmission. The four groups were comparable to each other except for the race and age and the latter was not different when comparing the two EC groups. Detailed demographic and clinical characteristics for each study participant are shown in supplementary table 1. One individual in each group (subject 9 and 16) was evaluated for immunogenicity at two different time points (Table 1 and supplementary table 1).
Table 1.
Demographic and clinical information of the study cohort.
Categorya | EChl (n=9) |
EClo (n=7) |
NC (n=9) |
SN (n=8) |
P-valueb | P-value (EChi vs. EClo)c |
---|---|---|---|---|---|---|
Sex: | ||||||
Female | 56 | 43 | 44 | 50 | 1.00 | 1.00 |
Male | 44 | 57 | 56 | 50 | ||
Race: | ||||||
African-American | 100 | 57 | 56 | 50 | 0.06 | 0.06 |
Caucasian | 0 | 43 | 44 | 50 | ||
Age: | 48 | 54 | 44 | 44 | 0.008 | 0.25 |
HIV Risk Factors: | ||||||
Heterosexual | 67 | 43 | 56 | NA | ||
MSM | 22 | 57 | 33 | NA | 0.6 | 0.19 |
IVDU | 11 | 0 | 0 | NA | ||
Unknown | 0 | 0 | 11 | 100 | ||
CD4a | ||||||
Count | 1158 | 698.5 | 298 | NA | 0.0003 | 0.0285 |
% | 52 | 27.5 | 14 | NA | <0.0001 | 0.0002 |
Nadir | 895 | 449.5 | 147 | NA | 0.0001 | 0.0079 |
Viral Loada | 19 | 59.5 | 146668 | NA | 0.0001 | NA |
Co-Infections: | ||||||
HCV | 11 | 0 | 11 | NA | 1.00 | 1.00 |
HBV | 11 | 14 | 11 | NA | 1.00 | 1.00 |
HLA-I: | ||||||
B*27 | 0 | 14 | 0 | 12.5 | 0.34 | 0.44 |
B*57 | 33 | 43 | 33 | 0 | 0.22 | 0.63 |
B*58 | 33 | 0 | 11 | 25 | 0.45 | 0.21 |
One patient in each of the EChi and EClo groups was followed longitudinally and data from both time points are included. Categorical and continuous variables are expressed as percentage and median values respectively. Groups being compared are elite controllers with median longitudinal %CD4 > 40 (EChl), elite controllers with median longitudinal %CD4 ≤ 40 (EClo), non-controllers (NC), and seronegatives (SN).
Categorical variables were compared using Fisher’s exact test and continuous variables were compared using non-parametric Kruskal-Wallis test to compare all groups and Mann-Whitney test to compare EChl and EClo groups.
Reduced T cell activation in the EChi group
Since immunologic markers such as CD38 and HLA-DR have been shown to be predictive of HIV disease progression [42, 43], we assessed their surface expression in each of the 4 groups of subjects. A comparative analysis of the EC groups revealed that the EChi CD8 T cells expressed lower HLA-DR (median 5% vs 33%, p<0.0001) and CD38+HLA-DR+ (2% vs 17%, p=0.0002) compared to the EClo group (figure 2A). Similar data were also observed in the CD4 T-cells (figure 2B). Additionally, for CD8 T cells, a trend for lower expression of CD38 for the EChi was observed (23% vs 38%, p=0.058; figure 2A). For both the immune activation markers, EChi were indistinguishable from the seronegatives with regards to the CD8 and CD4 T cells. Additional differences in marker expression were also seen when either of the EC groups were compared to the SN and NC (supplementary table 2 and 3).
Figure 2. Surface expression of immune activation markers on T cells and its correlation with CD4%.
CD8 (A) and CD4 (B) T cells were surface stained for the single/dual expression of activation markers CD38 and HLA-DR. Bars represent median values +/− interquartile range, groups were compared by two-tailed Mann-Whitney test (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001). The association between CD4% and co-expression of immune activation activation markers on CD8 (C) and CD4 (D) T cells was determined using two-tailed Spearman nonparametric correlation.
An inverse correlation was previously reported between absolute CD4 counts and immune activation of T cells [10]. Similarly, in our EC cohort, negative correlations were observed between CD4% and CD38+ HLA-DR+ expression on CD8 T cells (r=−0.8306, p<0.0001; figure 2C) and CD4 T cells (r=−0.7742, p=0.0002; figure 2D). Correlations between CD8 T cell activation and CD4% were not observed for the NC group (data not shown).
Lower frequency of terminally differentiated CD8 T cells in the EChi group
The proportion of T cells in various stages of maturation can be perturbed by alterations in viral load [44]. To evaluate whether CD4% impacted skewing of these populations, we characterized CD4 and CD8 T cell memory subsets by surface expression of CCR7, CD45RA and CD28 and defined as naïve (CCR7+ CD28+CD45RA+), central memory (CCR7+CD28+CD45RA−), effector memory (CCR7−CD28 +/−CD45RA−), and CD45RA+ effector memory or Temra (CCR7−CD28−CD45RA+). Regarding the phenotype of CD4 T cells, SN, EChi, and EClo had significantly higher frequency of central memory T cells than non-controllers (p=0.0002; p=0.036; p=0.050) respectively; data not shown. For the CD8 T cells, the EChi group had a significantly lower frequency of CD8 T cells that displayed the Temra phenotype compared to the EClo group (p=0.03, supplementary figure 2). Additionally, the EChi group had higher frequency of naïve CD8 T cells compared to EClo (p=0.05). Therefore, overall, the EChi had a less differentiated CD8 T cell phenotype than the EClo group.
Reduced expression of exhaustion markers PD1 and CD160 on T cells in the EChi group
We evaluated the expression of three exhaustion markers that are commonly used to determine this phenotype i.e. PD-1, CD160 and TIM-3 [45]. The EChi had decreased PD-1 (20% vs 30%, p=0.0418), CD160 (21% vs 63%, p=0.003) and CD160, PD1 (5% vs 17%, p=0.003) compared to EClo on the CD8 T cells (Figure 3A and C). A similar pattern of PD1 and CD160 expression was also seen in CD4 T cells (p=0.006) (Figure 3B and D). The EChi also had lower MFI of PD-1 on CD8 (4297 vs. 4854, p=0.006) and CD4 T cells (4641 vs. 5041, p=0.04) compared to EClo. Details of other marker combinations that were different between all groups are shown in supplementary table 2 and 3.
Figure 3. Surface expression of markers of T cell exhaustion.
CD8 (A and C) and CD4 (B and D) T cells were surface stained for the exhaustion markers PD-1, CD160 and TIM3. Expression of PD-1 and CD160 (A & B) as well as TIM-3, and coexpression of CD160+PD-1+ (C & D) are shown. Bars represent median values +/− interquartile range, groups were compared by two-tailed Mann-Whitney test (*p<0.05, **p<0.01, ***p<0.001. ****p<0.0001).
Lower expression of immunosenescent (CD57) and increased expression of costimulatory molecules (CD28 and CD73) on CD8 T cells in the EChi group
Persistent viral infections such as HIV lead to increased accumulation of cells that display a CD28− and CD57+ phenotype due to persistent antigenic stimulation. [46–48]. We therefore assessed whether the T cells in the EChi group had a higher proportion of functionally responsive cells. As expected, CD8 T cells from the EChi revealed a phenotype of decreased T cell senescence and increased costimulatory molecule expression. The EChi CD8 T cells had markedly lower frequency of CD57 (median 22% vs 45%, p=0.004), higher CD28 (80% vs 36%, p=0.003), higher CD28+, CD57− (71% vs 27%, p=0.0003), and higher CD73 (36% vs 8%, p=0.005) than EClo (Figure 4A). In each case, EChi were similar to seronegatives, whereas the EClo were comparable to non-controllers. Additional data for the inter- group comparisons is shown in supplementary table 2 and 3.
Figure 4. Surface expression of markers of co-stimulation on CD8 T cells and its correlation with immune activation.
(A) CD8 T cells were surface stained for the immunosenescence marker CD57 and the co-stimulatory molecules CD28 and CD73. Bars represent median values +/− interquartile range, groups were compared by two-tailed Mann-Whitney test (*p<0.05, **p<0.01, ***p<0.001). Correlation between % activated CD8 T cells and CD73 expression on cells from all elite controllers (B), seronegatives (C), and non-controllers (D) was determined by two-tailed Spearman nonparametric correlation.
A prior publication showed an inverse correlation between CD73 expression and CD8 T cell activation [13]. We too observed a negative correlation for the combined EC group which was most likely driven by the EChi group (figure 4B). However, we did not see a correlation for either the SN or NC although there was a trend in the latter group (figure 4C and D).
Lower frequency of circulating inflammatory monocytes in the EChi group
Monocyte subpopulations were defined into classical (CD14++CD16−), intermediate / inflammatory (CD14++CD16+), and non-classical / patrolling (CD14+CD16++) as previously described [49]. The EChi subgroup showed decreased frequency of intermediate / inflammatory monocytes compared to the EClo (median 1% vs 2.2%, p=0.001, supplementary figure 3). This inflammatory subset also expressed lower median levels of HLA-DR when compared to EClo (95.7% vs. 98.3%, p=0.033); data not shown. The frequency and activation levels for the other two monocyte subsets were similar among the EC groups; supplementary figure 3. Plasma levels of sCD14 were not different among the two EC groups or the EC overall group compared to SN and NC.
DISCUSSION
Antiretroviral therapy (ART) has significantly improved over the past several years allowing administration of potent, simple regimens that are well tolerated and associated with minimal side effects. However, even patients with asymptomatic HIV infection and normal absolute CD4 T cell counts have evidence of immune activation, a parameter associated with disease progression [10]. This information has led many providers to recommend treatment for all HIV positive patients regardless of their CD4 T cell counts [50]. Elite controllers, who appear to maintain control of their HIV, are a rare group of individuals for whom the risks of ART may outweigh the benefits, as the latter may not be obvious without candid evidence of disease progression. Nevertheless, several studies have demonstrated that EC also have evidence of immune activation and may benefit from ART as well. Such prior studies have generally considered EC to represent a single group; however, such patients actually demonstrate heterogeneity- clinically, genetically, and immunologically [32–36]. In this study, despite the small sample size of the EC cohort, we have shown that CD4% is an easily quantifiable benchmark for gauging the clinical heterogeneity in the EC group as reflected by the stark differences in the immune phenotypes observed. Specifically, our data demonstrated that CD8 T cells from EC with high CD4% (EChi) have expression levels of markers of immune activation, senescence, and exhaustion that are comparable to HIV seronegative controls and decreased when compared to HIV-infected patients including EC with low CD4% (EClo) and non-controllers (NC). Future studies will assess the clinical outcome from ART in EC with low CD4%.
Some of the heterogeneity in EC may stem from the varied clinical definitions that have been used to identify EC [51]. As recommended in a recent review of EC literature, we used the criteria of EC having either consecutive undetectable HIV-RNA measurements for greater than six months or with greater than 90% of these measurements being less than 400 copies/ml over several years [41]. Although the pVL is largely undetectable in our two EC groups, viral blips were less frequently observed in the EChi group. Hence it is possible that a lack of these episodes of intermittent viremia may contribute to the increased frequency of naive and lower proportion of terminally differentiated cells seen in the EChi group. Since viral blips [52] have also been associated with activated CD8 T cells, it is not surprising that the T cells in the EChi group are less activated and in part responsible for the preserved CD4% over time. Thus, only the EClo may benefit from ART to prevent sporadic viremic episodes.
A prior study showed that HIV controllers had higher T cell activation than seronegative donors [10]. There are additional studies that have shown the presence of immune activation in EC [29, 53]. However our data shows that excess T cell activation is only present in the EClo group and not among the EChi individuals. This was not influenced by racial composition differences between the 2 EC groups since similar levels of immune activation and exhaustion markers were noted between Caucasians and African-Americans (EClo and NC); data not shown. One likely explanation for the discrepancy between our EC work and those by other groups could be that prior studies were perhaps largely based upon EC patients with low CD4%.
Evaluation of numerous immune indices showed that the EChi group demonstrates several hallmark characteristics of preserved immune integrity. Notably, these EChi individuals maintained a higher CD4% that was associated with lower expression of multiple markers of activation and exhaustion. Additionally, in this group, maintenance of CD28 expression, a co-stimulatory molecule which is commonly reduced during chronic HIV infection was retained. A recent study found that CD73, a coactivator of T cells [13] was elevated in all EC. However our data shows that this is only observed for the EChi group and therefore cumulatively indicates that the EChi group manifests a phenotype of functionally responsive T cells that is similar to healthy seronegative adults.
Immune activation has been associated with reduced CD4 T cell recovery. Although we did not see differences in the sCD14 between the two EC groups in our limited sample size, it is likely that EChi have lower levels of products of microbial translocation, due to less severe CD4 depletion early in infection and lower activation induced cell death, both of which could contribute to the CD4% preservation in this group. In contrast, the EClo behave more like the immunologic non-responders on ART[54] who have been shown to have increased microbial translocation and immune activation which may drive CD4 depletion and hence the failure to normalize CD4 T cell counts. Interestingly in patients with idiopathic CD4 lymphocytopenia (ICL), increased levels of LPS were observed highlighting a potential association between translocation of microbial products, immune activation and altered CD4 T cell homeostasis [55].
Recent studies have highlighted the usefulness of CD4/CD8 ratio for gauging immune restoration [47, 56]. In our study, we observed a strong correlation between CD4% and the CD4/CD8 ratio among elite controller individuals (r=0.84; p-value= <0.0001). Furthermore, the median CD4/CD8 ratio for the EChi mirrored the HIV seronegatives whereas the EClo and the HIV non controllers exhibited a similar ratio. Additionally, significant correlations were observed when either the CD4% (r= −0.79, p=0.0001) or the CD4/CD8 ratio (r= −0.80, p=<0.0001) was compared with % CD8 T cell immune activation (HLADR+CD38+).
In summary, our data suggest that a subgroup of EC with preserved CD4 T cell percentages may be immunogically normal and would not derive clinical benefit from ART. In contrast, EC with evidence of CD4 depletion may well benefit from the implementation of ART to suppress low level viremia and reduce immune activation and exhaustion. While our findings based on a small sample size cannot be used to dictate treatment choices, these data can inform the design of future studies focused on elite controllers and on immunomodulatory therapies that are aimed at improving the immune function in chronic HIV infection. Our findings further support CD4% as an important marker in subdividing EC to better evaluate results from future studies designed to determine the need for ART in this group of individuals.
Supplementary Material
Acknowledgments
We thank Marion Spell at the UAB flow cytometry core for data acquisition.
FINANCIAL SUPPORT:
This work was supported by NIH grants (R01 AI112566-01A1 and R56 AI098551 to PAG). Flow cytometry was performed, in part, in the UAB Center for AIDS Research Flow Cytometry Core, which is funded by NIH grant P30 AI027767.
Abbreviations used
- HIV-1
human immunodeficiency virus type 1
- EC
elite controllers
- SN
seronegatives and NC, non-controllers
Footnotes
CONFLICT OF INTEREST:
All authors declare no financial conflict of interest for this study.
AUTHOR CONTRIBUTIONS:
Conceived the study and designed the experiments: AB and PAG
Performed the experiments: SS
Analyzed the data: SS, AB, AOW, NE and PAG
Wrote the manuscript: AB and PAG
Enrolled patients, obtained patient samples and/or clinical data: PAG, NE, ETO and JDO
Contributed to manuscript preparation: SS, NE, ETO, JDO, AOW
PRESENTATION OF WORK:
This work has not been presented at any meeting.
REFERENCES
- 1.Deeks SG, Walker BD. Human immunodeficiency virus controllers: mechanisms of durable virus control in the absence of antiretroviral therapy. Immunity. 2007;27:406–416. doi: 10.1016/j.immuni.2007.08.010. [DOI] [PubMed] [Google Scholar]
- 2.Okulicz JF, Marconi VC, Landrum ML, et al. Clinical outcomes of elite controllers, viremic controllers, and long-term nonprogressors in the US Department of Defense HIV natural history study. The Journal of infectious diseases. 2009;200:1714–1723. doi: 10.1086/646609. [DOI] [PubMed] [Google Scholar]
- 3.Ferre AL, Hunt PW, Critchfield JW, et al. Mucosal immune responses to HIV-1 in elite controllers: a potential correlate of immune control. Blood. 2009;113:3978–3989. doi: 10.1182/blood-2008-10-182709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Owen RE, Heitman JW, Hirschkorn DF, et al. HIV+ elite controllers have low HIV-specific T-cell activation yet maintain strong, polyfunctional T-cell responses. Aids. 2010;24:1095–1105. doi: 10.1097/QAD.0b013e3283377a1e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Betts MR, Nason MC, West SM, et al. HIV nonprogressors preferentially maintain highly functional HIV-specific CD8+ T cells. Blood. 2006;107:4781–4789. doi: 10.1182/blood-2005-12-4818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Migueles SA, Osborne CM, Royce C, et al. Lytic granule loading of CD8+ T cells is required for HIV-infected cell elimination associated with immune control. Immunity. 2008;29:1009–1021. doi: 10.1016/j.immuni.2008.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Williams LD, Bansal A, Sabbaj S, et al. Interleukin-21-producing HIV-1-specific CD8 T cells are preferentially seen in elite controllers. Journal of virology. 2011;85:2316–2324. doi: 10.1128/JVI.01476-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Saez-Cirion A, Lacabaratz C, Lambotte O, et al. HIV controllers exhibit potent CD8 T cell capacity to suppress HIV infection ex vivo and peculiar cytotoxic T lymphocyte activation phenotype. Proceedings of the National Academy of Sciences of the United States of America. 2007;104:6776–6781. doi: 10.1073/pnas.0611244104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hersperger AR, Pereyra F, Nason M, et al. Perforin expression directly ex vivo by HIV-specific CD8 T-cells is a correlate of HIV elite control. PLoS pathogens. 2010;6:e1000917. doi: 10.1371/journal.ppat.1000917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hunt PW, Brenchley J, Sinclair E, et al. Relationship between T cell activation and CD4+ T cell count in HIV-seropositive individuals with undetectable plasma HIV RNA levels in the absence of therapy. The Journal of infectious diseases. 2008;197:126–133. doi: 10.1086/524143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yan J, Sabbaj S, Bansal A, et al. HIV-specific CD8+ T cells from elite controllers are primed for survival. Journal of virology. 2013;87:5170–5181. doi: 10.1128/JVI.02379-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chen H, Li C, Huang J, et al. CD4+ T cells from elite controllers resist HIV-1 infection by selective upregulation of p21. The Journal of clinical investigation. 2011;121:1549–1560. doi: 10.1172/JCI44539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Carriere M, Lacabaratz C, Kok A, et al. HIV “elite controllers” are characterized by a high frequency of memory CD8+ CD73+ T cells involved in the antigen-specific CD8+ T-cell response. The Journal of infectious diseases. 2014;209:1321–1330. doi: 10.1093/infdis/jit643. [DOI] [PubMed] [Google Scholar]
- 14.Walker WE, Kurscheid S, Joshi S, et al. Increased levels of MIPs result in resistance to R5-tropic HIV-1 in a subset of Elite Controllers. Journal of virology. 2015 doi: 10.1128/JVI.00118-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.International HIVCS. Pereyra F, Jia X, et al. The major genetic determinants of HIV-1 control affect HLA class I peptide presentation. Science. 2010;330:1551–1557. doi: 10.1126/science.1195271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Migueles SA, Sabbaghian MS, Shupert WL, et al. HLA B*5701 is highly associated with restriction of virus replication in a subgroup of HIV-infected long term nonprogressors. Proceedings of the National Academy of Sciences of the United States of America. 2000;97:2709–2714. doi: 10.1073/pnas.050567397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Pereyra F, Palmer S, Miura T, et al. Persistent low-level viremia in HIV-1 elite controllers and relationship to immunologic parameters. The Journal of infectious diseases. 2009;200:984–990. doi: 10.1086/605446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hatano H, Delwart EL, Norris PJ, et al. Evidence for persistent low-level viremia in individuals who control human immunodeficiency virus in the absence of antiretroviral therapy. Journal of virology. 2009;83:329–335. doi: 10.1128/JVI.01763-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Blankson JN, Bailey JR, Thayil S, et al. Isolation and characterization of replication-competent human immunodeficiency virus type 1 from a subset of elite suppressors. Journal of virology. 2007;81:2508–2518. doi: 10.1128/JVI.02165-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lamine A, Caumont-Sarcos A, Chaix ML, et al. Replication-competent HIV strains infect HIV controllers despite undetectable viremia (ANRS EP36 study) Aids. 2007;21:1043–1045. doi: 10.1097/QAD.0b013e3280d5a7ac. [DOI] [PubMed] [Google Scholar]
- 21.Fukazawa Y, Lum R, Okoye AA, et al. B cell follicle sanctuary permits persistent productive simian immunodeficiency virus infection in elite controllers. Nature medicine. 2015 doi: 10.1038/nm.3781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Krishnan S, Wilson EM, Sheikh V, et al. Evidence for innate immune system activation in HIV type 1-infected elite controllers. The Journal of infectious diseases. 2014;209:931–939. doi: 10.1093/infdis/jit581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li JZ, Arnold KB, Lo J, et al. Differential levels of soluble inflammatory markers by human immunodeficiency virus controller status and demographics. Open forum infectious diseases. 2015;2:ofu117. doi: 10.1093/ofid/ofu117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Crowell TA, Gebo KA, Blankson JN, et al. Hospitalization Rates and Reasons Among HIV Elite Controllers and Persons With Medically Controlled HIV Infection. The Journal of infectious diseases. 2015;211:1692–1702. doi: 10.1093/infdis/jiu809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Benito JM, Lopez M, Lozano S, et al. Differential upregulation of CD38 on different T-cell subsets may influence the ability to reconstitute CD4+ T cells under successful highly active antiretroviral therapy. Journal of acquired immune deficiency syndromes. 2005;38:373–381. doi: 10.1097/01.qai.0000153105.42455.c2. [DOI] [PubMed] [Google Scholar]
- 26.Kestens L, Vanham G, Vereecken C, et al. Selective increase of activation antigens HLA-DR and CD38 on CD4+ CD45RO+ T lymphocytes during HIV-1 infection. Clinical and experimental immunology. 1994;95:436–441. doi: 10.1111/j.1365-2249.1994.tb07015.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fernandez S, Price P, McKinnon EJ, Nolan RC, French MA. Low CD4+ T-cell counts in HIV patients receiving effective antiretroviral therapy are associated with CD4+ T-cell activation and senescence but not with lower effector memory T-cell function. Clinical immunology. 2006;120:163–170. doi: 10.1016/j.clim.2006.04.570. [DOI] [PubMed] [Google Scholar]
- 28.Guaraldi G, Orlando G, Zona S, et al. Premature age-related comorbidities among HIV-infected persons compared with the general population. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2011;53:1120–1126. doi: 10.1093/cid/cir627. [DOI] [PubMed] [Google Scholar]
- 29.Pereyra F, Lo J, Triant VA, et al. Increased coronary atherosclerosis and immune activation in HIV-1 elite controllers. Aids. 2012;26:2409–2412. doi: 10.1097/QAD.0b013e32835a9950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chun TW, Shawn Justement J, Murray D, et al. Effect of antiretroviral therapy on HIV reservoirs in elite controllers. The Journal of infectious diseases. 2013;208:1443–1447. doi: 10.1093/infdis/jit306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lambotte O, Boufassa F, Madec Y, et al. HIV controllers: a homogeneous group of HIV-1-infected patients with spontaneous control of viral replication. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2005;41:1053–1056. doi: 10.1086/433188. [DOI] [PubMed] [Google Scholar]
- 32.Lambotte O, Ferrari G, Moog C, et al. Heterogeneous neutralizing antibody and antibody-dependent cell cytotoxicity responses in HIV-1 elite controllers. Aids. 2009;23:897–906. doi: 10.1097/QAD.0b013e328329f97d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Pereyra F, Addo MM, Kaufmann DE, et al. Genetic and immunologic heterogeneity among persons who control HIV infection in the absence of therapy. The Journal of infectious diseases. 2008;197:563–571. doi: 10.1086/526786. [DOI] [PubMed] [Google Scholar]
- 34.Saez-Cirion A, Sinet M, Shin SY, et al. Heterogeneity in HIV suppression by CD8 T cells from HIV controllers: association with Gag-specific CD8 T cell responses. Journal of immunology. 2009;182:7828–7837. doi: 10.4049/jimmunol.0803928. [DOI] [PubMed] [Google Scholar]
- 35.Bello G, Velasco-de-Castro CA, Bongertz V, et al. Immune activation and antibody responses in non-progressing elite controller individuals infected with HIV-1. Journal of medical virology. 2009;81:1681–1690. doi: 10.1002/jmv.21565. [DOI] [PubMed] [Google Scholar]
- 36.Sedaghat AR, Rastegar DA, O’Connell KA, Dinoso JB, Wilke CO, Blankson JN. T cell dynamics and the response to HAART in a cohort of HIV-1-infected elite suppressors. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2009;49:1763–1766. doi: 10.1086/648081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Burcham J, Marmor M, Dubin N, et al. CD4% is the best predictor of development of AIDS in a cohort of HIV-infected homosexual men. Aids. 1991;5:365–372. doi: 10.1097/00002030-199104000-00002. [DOI] [PubMed] [Google Scholar]
- 38.Pirzada Y, Khuder S, Donabedian H. Predicting AIDS-related events using CD4 percentage or CD4 absolute counts. AIDS research and therapy. 2006;3:20. doi: 10.1186/1742-6405-3-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Taylor JM, Fahey JL, Detels R, Giorgi JV. CD4 percentage, CD4 number, and CD4:CD8 ratio in HIV infection: which to choose and how to use. Journal of acquired immune deficiency syndromes. 1989;2:114–124. [PubMed] [Google Scholar]
- 40.Vajpayee M, Kaushik S, Sreenivas V, Wig N, Seth P. CDC staging based on absolute CD4 count and CD4 percentage in an HIV-1-infected Indian population: treatment implications. Clinical and experimental immunology. 2005;141:485–490. doi: 10.1111/j.1365-2249.2005.02857.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Olson AD, Meyer L, Prins M, et al. An evaluation of HIV elite controller definitions within a large seroconverter cohort collaboration. PloS one. 2014;9:e86719. doi: 10.1371/journal.pone.0086719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Deeks SG, Kitchen CM, Liu L, et al. Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load. Blood. 2004;104:942–947. doi: 10.1182/blood-2003-09-3333. [DOI] [PubMed] [Google Scholar]
- 43.Liu Z, Cumberland WG, Hultin LE, Prince HE, Detels R, Giorgi JV. Elevated CD38 antigen expression on CD8+ T cells is a stronger marker for the risk of chronic HIV disease progression to AIDS and death in the Multicenter AIDS Cohort Study than CD4+ cell count, soluble immune activation markers, or combinations of HLA-DR and CD38 expression. Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association. 1997;16:83–92. doi: 10.1097/00042560-199710010-00003. [DOI] [PubMed] [Google Scholar]
- 44.Burgers WA, Riou C, Mlotshwa M, et al. Association of HIV-specific and total CD8+ T memory phenotypes in subtype C HIV-1 infection with viral set point. Journal of immunology. 2009;182:4751–4761. doi: 10.4049/jimmunol.0803801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kuchroo VK, Anderson AC, Petrovas C. Coinhibitory receptors and CD8 T cell exhaustion in chronic infections. Current opinion in HIV and AIDS. 2014;9:439–445. doi: 10.1097/COH.0000000000000088. [DOI] [PubMed] [Google Scholar]
- 46.Lee SA, Sinclair E, Jain V, et al. Low proportions of CD28− CD8+ T cells expressing CD57 can be reversed by early ART initiation and predict mortality in treated HIV infection. The Journal of infectious diseases. 2014;210:374–382. doi: 10.1093/infdis/jiu109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Serrano-Villar S, Sainz T, Lee SA, et al. HIV-infected individuals with low CD4/CD8 ratio despite effective antiretroviral therapy exhibit altered T cell subsets, heightened CD8+ T cell activation, and increased risk of non-AIDS morbidity and mortality. PLoS pathogens. 2014;10:e1004078. doi: 10.1371/journal.ppat.1004078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Vivar N, Ruffin N, Sammicheli S, Hejdeman B, Rethi B, Chiodi F. Survival and proliferation of CD28− T cells during HIV-1 infection relate to the amplitude of viral replication. The Journal of infectious diseases. 2011;203:1658–1667. doi: 10.1093/infdis/jir156. [DOI] [PubMed] [Google Scholar]
- 49.Palmer CS, Anzinger JJ, Zhou J, et al. Glucose transporter 1-expressing proinflammatory monocytes are elevated in combination antiretroviral therapy-treated and untreated HIV+ subjects. Journal of immunology. 2014;193:5595–5603. doi: 10.4049/jimmunol.1303092. [DOI] [PubMed] [Google Scholar]
- 50.Gunthard HF, Aberg JA, Eron JJ, et al. Antiretroviral treatment of adult HIV infection: 2014 recommendations of the International Antiviral Society-USA Panel. Jama. 2014;312:410–425. doi: 10.1001/jama.2014.8722. [DOI] [PubMed] [Google Scholar]
- 51.Gurdasani D, Iles L, Dillon DG, et al. A systematic review of definitions of extreme phenotypes of HIV control and progression. Aids. 2014;28:149–162. doi: 10.1097/QAD.0000000000000049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Cortes FH, Passaes CP, Bello G, et al. HIV Controllers With Different Viral Load Cutoff Levels Have Distinct Virologic and Immunologic Profiles. Journal of acquired immune deficiency syndromes. 2015;68:377–385. doi: 10.1097/QAI.0000000000000500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hsue PY, Hunt PW, Schnell A, et al. Role of viral replication, antiretroviral therapy, and immunodeficiency in HIV-associated atherosclerosis. Aids. 2009;23:1059–1067. doi: 10.1097/QAD.0b013e32832b514b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Lederman MM, Calabrese L, Funderburg NT, et al. Immunologic failure despite suppressive antiretroviral therapy is related to activation and turnover of memory CD4 cells. The Journal of infectious diseases. 2011;204:1217–1226. doi: 10.1093/infdis/jir507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Lee PI, Ciccone EJ, Read SW, et al. Evidence for translocation of microbial products in patients with idiopathic CD4 lymphocytopenia. The Journal of infectious diseases. 2009;199:1664–1670. doi: 10.1086/598953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tinago W, Coghlan E, Macken A, et al. Clinical, immunological and treatment-related factors associated with normalised CD4+/CD8+ T-cell ratio: effect of naive and memory T-cell subsets. PloS one. 2014;9:e97011. doi: 10.1371/journal.pone.0097011. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.