Which NK cell populations mark the high burden of CMV present in all HIV patients beginning ART in Indonesia?

BACKGROUND: Cytomegalovirus (CMV) has been linked with cardiovascular disease (CVD) in populations where some individuals are seronegative. However, effects of CMV are unclear in HIV patients who all have high levels of CMV antibodies. Other metrics of their CMV burden are needed. Amongst transplant recipients, CMV drives the expansion of NK cell populations expressing NKG2C and/or LIR1 and lacking FcRγ.
METHODS: Indonesian HIV patients (n = 40) were tested before ART and after 6 months, with healthy local controls (n = 20). All patients had high CMV antibody titres. 52% started therapy with CMV DNA detectable by qPCR, providing a crude measure of CMV burden. Proportions of CD56Hi or CD56Lo NK cells expressing FcRγ, NKG2C or LIR1 were determined flow cytometrically. CVD was predicted using carotid intimal media thickness (cIMT). Values were correlated with levels of CMV antibodies on ART.
RESULTS: Patients had low proportions of CD56Lo and more CD56Hi NK cells. However proportions of FcRγ- NK cells were lowest in patients with CMV DNA, and cIMT values related inversely with FcRγ- NK cells in these patients. Percentages of NKG2C+CD56Lo NK cells were similar in patients and controls, but rose in patients with CMV DNA. Proportions of NKG2C+ CD56Hi NK cells correlated with levels of CMV antibodies in CMV DNA-negative patients.
CONCLUSIONS: We show that the very high burdens of CMV in this population confound systems developed to study effects of CMV in other populations. FcRγ- NK cells may be depleted by very high CMV burdens, but NKG2C and antibody levels may be informative in patients on ART.

Introduction

Natural killer (NK) cells are implicated in the control of cytomegalovirus (CMV) infections. Moreover, CMV can shape the NK cell repertoire driving the expansion of specific NK subpopulations [1]. The balance reached in this feedback loop will depend upon other forces that shape the immune system of the host with impact upon NK cell populations.

NK cells with the phenotype CD56LoCD16Hi comprise 90% of the total NK cell population. These cells are mature and cytotoxic. CD56HiCD16Lo NK cells comprises the residual 10% of the population and are less mature, less cytotoxic and exhibit more potent cytokine release upon stimulation [2]. NK cell function is regulated by activating and inhibitory receptors [3]. Inhibitory receptors, such as LIR1, interact with MHC class 1 molecules, preventing attacks on ‘’self’’ cells. Consequently, a lack of MHC class 1 expression leads to NK cell activation via activating receptors, including NKG2C [4]. FcRγ is an immunoreceptor tyrosine-based activation motif-containing adaptor protein responsible for transducing signals through activating NK cell receptors such as CD16 (FcγRIIIa) and acting as a chaperone for these receptors [5]. We and others have described increased proportions of NK cells lacking FcRγ and expressing NKG2C and/or LIR1 in CMV-seropositive transplant recipients [1, 6]. However, effects of CMV are less clear in HIV patients.

NK cells from Australian HIV patients stable on long-term antiretroviral therapy (ART) responded poorly to in vitro stimulation, but this could not be attributed to CMV as responses were low in CMV-seronegative healthy controls. Moreover, HIV (and not CMV) increased the expression of CD57 on CD56Lo NK cells [7]. In the same patient population, proportions of CD56Hi NK cells correlated inversely with current CD4 T-cell counts, and perforin expression in CD56Hi NK cells was higher in HIV patients than controls. Hence, increased proportions and cytolytic function of CD56Hi NK cells may partially compensate for CD4 T-cell deficiency [8]. FcRγ was not assessed in these studies but was subsequently examined in Australian patients beginning ART. Proportions of FcRγ− NK cells were not associated with NK cell, T-cell or monocyte activation, so different factors may drive CD56Lo FcRγ− NK cell expansion and immune activation in HIV+ individuals. Patients retained elevated levels of CMV-reactive antibodies on ART, but these did not predict proportions of CD56Lo FcRγ− NK cells [9].

Epidemiological studies have associated persistent CMV infection with age-related diseases, such as cardiovascular disease (CVD) in individuals with no history of acute (end organ) CMV disease. Atherosclerosis is a common cause of CVD and is characterised by the accumulation of lipids and cholesterol, creating plaques in the arterial walls [10]. The resultant narrowing of the arteries can lead to coronary heart disease and stroke. CMV DNA has been reported in 82% of atherosclerotic plaques, with positive correlations between CMV viral load and proportions of effector memory T-cells in the plaques [11]. Proportions of LIR1+ and/or FcRγ− NK cells induced by CMV correlated inversely with flow-mediated dilatation (i.e., vascular endothelial function) in renal transplant recipients and healthy adults [12]. Of seven recipients with detectable CMV DNA in plasma, we observed the highest frequency of NK cells expressing NKG2C and LIR1 without FcRγ in the individual with the highest burden of CMV [13]. Thus, NK cell profiles may be used as a metric of the burden of CMV as it impacts upon CVD in this setting.

Here, we assess how CMV and HIV change NK cell profiles in patients starting ART with a very high burden of CMV, and how this may impact upon an early marker of cardiovascular health—carotid intimal media thickness (cIMT). This was achieved in the JakCCANDO cohort recruited in Jakarta, Indonesia, and followed during their first year on ART. All patients were CMV-seropositive with very high antibody titres, and 50% had CMV DNA detectable with a simple in-house qPCR when they began ART. Factors impacting upon cIMT have been described previously [14]. Here we compared adaptive NK cell phenotypes in CMV DNA+ and CMV DNA− patients and considered inflammatory biomarkers invoked by viral infections [C-reactive protein (CRP) and soluble interferon receptor (sIFNR)-α/β]. The latter can regulate the biological activity of IFNα/β through competition at high concentrations and stabilisation at lower concentrations [15]. Levels of sIFNRα/β may be downregulated in HIV patients with poor control of HIV on ART—potentially increasing the antiviral activity of IFNα/β [16]. Associations with CMV and NK cell activation have not been considered in this context.

Materials and methods

Study subjects

The JakCCANDO study (Jakarta CMV Cardiovascular ART Neurology Dentistry Ophthalmology) examined 82 HIV patients starting ART at the HIV/AIDS clinic of Cipto Mangunkusumo Hospital (Jakarta, Indonesia). The trial was retrospectively registered. Here, we describe 40 patients from the cohort before ART (V0) and after 6 months (V6). All had < 200 CD4 T-cells/μl so their HIV infections are probably long-standing. Patients received zidovidine/lamivudine/nevirapine (40%), zidovudine/lamivudine/efavirens (25%), nevirapine/lamivudine/tenofovir (12.5%), nevirapine/stavudin/lamivudine (5%) or stavudine/lamivudine/efavirens (2.5%). Control donors (n = 20), matched group-wise with the patients by gender, age and ethnicity, were sampled once. The Faculty of Medicine (Universitas Indonesia) and Cipto Mangunkusumo Hospital ethics committees approved the study (31/H2.F1/ETIK/2012 and 26/H2.F1/ETIK/2013). Written informed consent was obtained from all participants. CD4 T-cell counts were determined by routine flow cytometry, and plasma HIV RNA was evaluated using a Cobas Amplicor Monitor (Roche Molecular Diagnostics, Pleasanton, CA). Peripheral blood mononuclear cells (PBMC) were isolated from whole blood by Ficoll density centrifugation and cryopreserved in liquid nitrogen. Plasma and PBMC-depleted buffy coats were stored at − 80 °C. Carotid Doppler sonography was used to evaluate arterial circulation using B-mode, colour flow and velocity measurements. The outcome is expressed as carotid intimal medial thickness (cIMT) assessed when the artery was in the diastolic phase [14].

Quantitation of CMV-reactive antibody, CMV DNA and inflammatory biomarkers

CMV-reactive antibody was quantified using 96-well plates coated with a lysate of human foreskin fibroblasts infected with CMV strain AD169, or recombinant CMV Immediate Early 1 (IE-1) protein (Miltenyi Biotech; Cologne, Germany). Plates were coated overnight at 4 °C, blocked with 5% bovine serum albumin, and plasma samples were added (pre-diluted 1:10,000 for CMV lysate and 1:300 for CMV IE-1, followed by three-fold dilutions). Bound IgG was detected using goat anti-human IgG-horseradish peroxidase, followed by tetramethylbenzidine substrate (Sigma-Aldrich; St Louis, MI). Levels of CMV-reactive antibodies were determined relative to a standard plasma pool assigned a value of 1000 arbitrary units (AU). The protocol provides accurate quantitation in the high range [17]. CMV DNA was detected in buffy coats by qPCR using primer and probe sequences targeting the UL54 gene as described previously [14]. CRP and sIFNRα/β levels in plasma were quantitated using commercial ELISA reagents [17].

Natural killer cell immunophenotyping

Cryopreserved PBMC were thawed, washed twice with phosphate buffer saline and stained with Fixable Viability Stain 620 (1:2500) for 15 min at room temperature. This was followed by antibodies detecting surface markers (15 min, 4 °C)—anti-CD3 BV500 (clone UCHT1), anti-CD56 PE-Cy7 (clone B159), anti-CD57 BV421 (clone NK-1), anti-CD16 APC-H7 (clone 3G8), anti-CD57 APC (clone NK-1) (BD Bioscience; San Jose, CA), anti-NKG2C APC (clone 134591) (R&D Systems; Minneapolis, MN), anti-LIR-1 PE (clone HP-F1) (eBioscience; San Diego, CA), and anti-FcεRIγ FITC (γ subunit) (Millipore; Temecula, CA). Cells were then fixed with BD Cytofix/cytoperm (BD Bioscience) and washed before acquisition on an 8-colour FACS Canto II cytometer. Data was exported from BD FACS Diva software into FCS3.0 files and analysed using FlowJo V10.6.2 (BD Bioscience). FCS data were cleaned using FlowAI plugins to exclude electronic noise [18], and doublets and dead cells were excluded [19]. Mean fluorescent intensity (MFI) was used when it was difficult to gate distinct populations in all samples. Gating strategies are summarised in Additional file 1: Fig. S1.

Statistical analyses

As most parameters deviated from normal distributions (Shapiro–Wilk test), all data were analysed using non-parametric statistics and presented as median (range). Mann–Whitney unpaired tests were used to compare groups, and Wilcoxon paired tests were used to assess changes over time. Spearman’s Rank Tests were used to analyse correlations. Statistical analyses were performed using GraphPad Prism 8 (GraphPad, San Diego, CA) and p ≤ 0.05 was accepted as a significant difference.

Results

Inflammation and a high burden of CMV persisted on ART

Total CD4 T-cell counts rose, and HIV viral loads declined by V6, but levels of the inflammatory markers CRP and sIFNRα/β were maintained (Table 1, Panel 1). Levels of antibody reactive with CMV lysate increased on ART and were markedly higher than in healthy controls. These findings match those reported with the original JakCCANDO cohort (n = 82) [14, 17]. As 52% of the original JakCCANDO cohort were CMV DNA+ at V0, we selected 20 HIV patients with and 20 without CMV DNA for this study. CMV DNA+ and CMV DNA− patients had similar levels of antibodies reactive with CMV lysate at V0 [median (range): 4.1 (3.4–5.3) vs 4.1 (3.2–4.6); p = 0.27] and only slightly higher levels at V6 [4.5 (3.5–5.2) vs 4.26 (3.1–4.8); p = 0.054]. Levels of CMV antibody were similar in patients with HIV RNA levels below or above 500 copies/ml at V6 (data not shown), so the high burden of CMV could not be linked with poor adherence to therapy. cIMT values were within the normal range in most patients and did not change significantly on ART.

Table 1

JakCCANDO HIV patients retain high levels of CMV-reactive antibodies on ART, but cIMT values remain in the normal range

	Healthy controls	HIV V0	HIV V6	p value
	n = 20	n = 40	n = 40
	A	B	C	A vs B	A vs C	B vs C
Clinical and demographic features
Age (years)	32 (18–45)	32 (19–47)	–	0.43a	–	–
Sex (M/F)	12/8	30/10	–	0.25b	–	–
HIV RNA (Log10 copies/µL)	–	5.0 (2.9–6.4)	0.76 (0–5.0)	–	–	0.0001c
CD4 T-cells (cells/µL)	–	68 (2–199)	225 (6–516)	–	–	0.0001
CMV Lysate antibody (Log10 AU)	3.3 (2.8–4.8)	4.1 (3.2–5.2)	4.3 (3.1–5.2)	0.02a	0.003a	0.03
CMV IE-1 antibody (Log10 AU)	2.3 (1.1–3.8)	2.7 (1.7–3.8)	2.7 (1.2–3.8)	0.10	0.16	0.25
CRP (µg/mL)	–	1.9 (0.007–50)	2.2 (0.004–54)	–	–	0.97
sIFNRα/β (ng/mL)	–	4.4 (2.5–8.7)	4.4 (1.8–6.8)	–	–	0.67
Right cIMT (mm)	< 0.70d	0.58 (0.39–0.77)	0.57 (0.39–0.77)e	–	–	0.08
Left cIMT (mm)	< 0.70d	0.57 (0.45–0.83)	0.51 (0.32–0.70)	–	–	0.24
NK cell phenotypes
CD16+ (% of CD56Hi)	58 (23–67)	58 (28–75)	62 (11–81)	0.15	0.06	0.48
CD16+ (% of CD56Lo)	81 (42–96)	81 (37–95)	80 (48–96)	0.48	0.60	0.24
LIR1+ (% of CD56Hi)	0.6 (0–1.6)	0.4 (0–4.6)	0.5 (0–10)	0.48	0.59	0.01
LIR1+ (% of CD56Lo)	1.6 (0.3–5.9)	2.2 (0.06–13)	2.4 (0.2–9.4)	0.19	0.09	0.80
CD57+ (% of CD56Hi)	7.0 (0.7–29)	4.3 (0.15–34)	4.0 (0.1–22)	0.26	0.10	0.46
CD57+ (% of CD56Lo)	75 (27–90)	58 (29–89)	60 (18–89)	0.02	0.02	0.23

Data are presented as median (range). Bold: p value ≤ 0.05

aMann-Whitney tests

bFisher’s exact tests

cPaired Wilcoxon tests

dAs used in clinical care, e n = 26

HIV patients had fewer CD56Lo NK cells with no bias towards NK cell subpopulations previously linked with CMV

Patients displayed reduced proportions of CD56Lo and marginally more CD56Hi NK cells at V0, with no recovery on ART (Fig. 1A, B). We then considered NK cell subpopulations known to be enriched by CMV in transplant recipients and healthy donors [6, 12]. Proportions of NK cells without FcRγ (i.e., FcRγ−) were generally low at V0 (Fig. 1C, D). The proportion of CD56Lo NK cells expressing NKG2C was similar in patients and healthy controls, but expression on CD56Hi NK cells was lower in patients (Fig. 1E, F).

Fig. 1

HIV and ART affect NK cell phenotypes. Proportions of CD56Lo NK cells were reduced in HIV patients (A), with a small increase in CD56Hi NK cells by V6 (B). Proportions of FcRγ− NK cells were low at V0 with a trend towards recovery on ART (C, D). Proportions of NKG2C+ CD56Lo cells were unchanged by HIV and ART (E), but HIV reduced expression of NKG2C on CD56Hi NK cells (F). Mann–Whitney tests were used to compare patients with healthy controls, and Wilcoxon tests to compare patients at V0 and V6. Vertical lines depict the 95% confidence interval of the median, boxes represent the interquartile range and horizontal lines mark the median. *p < 0.05 and **p < 0.01

Three other NK cell phenotypes were examined (Table 1; Panel 2). Proportions of CD16+ NK cells were not significantly affected by HIV or ART. Percentages of LIR1+ CD56Hi NK cells rose on ART but were not affected by HIV per se. HIV patients had lower proportions of CD57+ CD56Lo NK cells than healthy controls.

Proportions of CD56Lo NK cells with the FcRγ−, NKG2C+, and CD57+ phenotypes increased on ART in CMV DNA+ patients

We first sought associations between CMV and low proportions of CD56Lo NK cells described in Fig. 1A, and found no significant difference between patients with and without detectable CMV DNA at V0 (Fig. 2A). Proportions of FcRγ− NK cells were lowest at V0 in patients with detectable CMV DNA and improved after six months on ART in these patients (Fig. 2B). Proportions of NKG2C+ and CD57+ NK cells also increased on ART in CMV DNA+ patients (Fig. 2C, D). Proportions of LIR1+ NK cells were similar in patients with and without CMV DNA (Fig. 2E), whilst the proportions of CD16+ CD56Lo NK cells at V6 were slightly higher in CMV DNA+ patients (Fig. 2F).

Fig. 2

CMV DNA positivity affects subpopulations of CD56Lo NK cells. Proportions of CD56Lo NK cells trended higher in CMV DNA+ group (A). FcRγ− (FcRεγ−) CD56Lo NK cells were lowest in CMV DNA+ patients at V0 and improved after 6 months of ART (B). Proportions of NKG2C+ and CD57+ NK cells increased on ART in CMV DNA+ patients (C, D). Proportions of LIR1+ NK cells were similar in patients with and without CMV DNA (E). Proportions of CD16+ CD56Lo NK cells at V6 were higher in CMV DNA+ patients (F). Mann–Whitney tests were used to compare patients with and without detectable CMV DNA at V0. Wilcoxon tests were used to compare patients at V0 and V6. Vertical lines depict 95% confidence interval of the median, boxes represent the interquartile range and horizontal lines mark the median. *p < 0.05 and **p < 0.01

NK cell populations correlate inversely with levels of CMV-reactive antibodies and sIFNRα/β in patients without detectable CMV DNA at V0

We then addressed whether NK cell subpopulations correlated with plasma levels of antibodies reactive with CMV lysate, or sIFNRα/β (Table 2). Stratification of the cohort by CMV DNA at V0 generated markedly different patterns of association.

Table 2

NK cell phenotypes linked with CMV in transplant recipients (FcRγ− and LIR1+) do not correlate directly with CMV antibodies or plasma sIFNR α/β in JakCCANDO HIV patients

	CMV DNA+		CMV DNA−
	V0 r values	V6 r values	V0 r values	V6 r values
CMV lysate antibody (log10 AU) versus…
CD56Hi CD3− (% lymphocytes)	− 0.07	− 0.04	− 0.13	0.26
CD57+ (%CD56Hi)	− 0.29	− 0.31	− 0.07	− 0.05
FcRγ− (%CD56Hi)	0.02	− 0.24	0.04	− 0.37
LIR1+ (%CD56Hi)	0.13	− 0.3	− 0.4	− 0.42
NKG2C+ (%CD56Hi)	− 0.44	− 0.21	0.60	0.27
CD56Lo CD3−(% lymphocytes)	− 0.39	0.002	− 0.64	− 0.14
CD57+ (%CD56Lo)	0.05	0.19	− 0.14	− 0.45
FcRγ− (%CD56Lo)	− 0.26	− 0.11	− 0.13	− 0.57
LIR1+ (%CD56Lo)	0.06	− 0.29	0.08	0.19
NKG2C+ (%CD56Lo)	− 0.37	− 0.1	0.39	0.11
Plasma sIFNRα/β versus…
CD56Hi CD3−(% lymphocytes)	− 0.13	− 0.33	0.43	0.44
CD57+ (%CD56Hi)	− 0.05	0.04	− 0.45	0.21
FcRγ− (%CD56Hi)	0.002	− 0.26	− 0.56	− 0.47
LIR1+ (%CD56Hi)	− 0.25	0.03	− 0.26	− 0.34
NKG2C+ (%CD56Hi)	0.05	− 0.11	− 0.16	0.05
CD56Lo CD3−(% lymphocytes)	− 0.01	0.1	− 0.22	0.21
CD57+ (%CD56Lo)	− 0.09	0.45	− 0.43	− 0.26
FcRγ− (%CD56Lo)	− 0.05	0.27	− 0.57	− 0.4
LIR1+ (%CD56Lo)	− 0.09	− 0.27	0.35	0.22
NKG2C+ (%CD56Lo)	− 0.16	0.25	− 0.23	0.09

Spearman rank correlation tests were used to compare plasma biomarkers with NK cell profiles, Bold: p value ≤ 0.05

Levels of sIFNRα/β correlated with CMV antibody in CMV DNA− patients at V6 (r = 0.54, p = 0.02), but not at V0 (r = 0.16, p = 0.51). However, we noted a correlation between sIFNRα/β and CMV IE-1 antibody levels in CMV DNA+ patients at V0 (r = 0.47, p = 0.04) (data not shown). This would be consistent with a link between sIFNRα/β and current CMV replication. Moreover HIV RNA levels correlated with sIFNRα/β in CMV DNA+ patients at V0 (r = 0.51, p = 0.02) with no correlation in CMV DNA− patients (r = 0.004, p = 0.98, data not shown). Hence CMV and HIV may induce sIFNRα/β, but the finding varies over time on ART and with the burden of CMV.

Proportions of CD56Lo NK cells correlated inversely with CMV lysate antibodies in CMV DNA− patients at V0 (r = − 0.64, p = 0.003), linking with their depletion. There were no significant correlations between CMV-reactive antibodies and CD57+, LIR1+ or FcRγ− NK cells, except for an inverse association with the latter at V6 in CMV DNA− patients (r = − 0.57, p = 0.01). These populations displayed several inverse correlations with levels of sIFNRα/β in CMV DNA− patients, providing no evidence for their expansion by CMV.

In CMV DNA− patients, proportions of NKG2C+ NK cells correlated directly with CMV-reactive antibody levels (CD56Hi; r = 0.60, p = 0.01; CD56lo, r = 0.39, p = 0.10) at V0. As this is consistent with the expansion of NKG2C+ NK cells by CMV before ART, it is pertinent that CMV DNA positivity aligned very weakly with heterozygous carriage of a deletion in the gene encoding NKG2C (χ2 = 2.5, p = 0.11) [6, 17]. The role of NKG2C in the control of CMV in this context warrants further study.

Antibody levels suggest an effect of CMV on cIMT after 6 months on ART, whilst NK cell markers fail under high burdens of CMV

Levels of CMV antibody were not correlated with cIMT at V0 (p > 0.17). However antibody levels rise on ART, so CD56lo NK cells lacking FcRγ and/or expressing NKG2C or LIR1 may provide a better metric of the burden of CMV at V0. However at V0, associations between the FcRγ− population and cIMT were negative (Fig. 3), so the population may be protective or its induction by CMV may be reversed at high CMV burdens. The latter explanation is favoured because the negative association was confined to individuals whose detectable CMV DNA suggests very high CMV burdens (right: r = − 0.43, p = 0.07; left: r = − 0.50, p = 0.03). At V0, there were no significant associations between cIMT and NK cell expression of NKG2C (p > 0.79) or LIR1 (p > 0.35).

Fig. 3

FcRγ− CD56Lo NK cells associate with healthier cIMT values in HIV patients before ART. Proportions of FcRγ− CD56Lo NK cells at V0 associated inversely with right (A) and left (B) cIMT. Spearmans correlations are shown

As several patients did not present for cIMT measurements at V6, we have not stratified these data by the detection of CMV DNA. The only associations with cIMT approaching significance were levels of antibodies reactive with CMV lysate (right: r = 0.33, p = 0.11; left: r = 0.36, p = 0.08) and CMV IE-1 (right: r = 0.53, p = 0.01; left: r = 0.44, p = 0.04). Hence antibody levels link a greater CMV burden with poor vascular health after 6 months on ART.

Discussion

All HIV patients in the JakCCANDO cohort had a high burden of CMV. This is evidenced by the very high levels of CMV-reactive antibody seen in all participants and the detection of CMV DNA by a simple qPCR in 52% of patients [14, 17]. The time of CMV infection was not documented, but was probably in childhood (pre-dating HIV infection). It is also likely that patients underwent reactivations of pre-existing CMV infections prior to ART as they achieved CD4 T-cell counts below 200 cells/μl. Moreover levels of antibody were similar at V0 and V6 in patients with and without detectable CMV DNA [22], so we assume that this grouping divides patients with a moderately high burden of CMV from those with an extremely high burden. In this respect the cohort is distinct from transplant recipients.

Our previous study of NK cell phenotypes in a smaller subset of the JakCCANDO cohort demonstrated low proportions of CD56+ NK cells [17]. The first goal of this study was a more precise definition of the NK cell phenotypes generated in 40 JakCCANDO patients before ART and after 6 months. We show that the depletion of CD56+ NK cells reflects a loss of CD56Lo cells, with proportions of CD56Hi cells rising slightly.

Levels of the inflammatory markers, CRP and sIFNRα/β, did not decline after six months of ART despite suppression of HIV replication. Whilst type 1 interferons may promote NK cell responses to CMV [20], plasma sIFNRα/β has not been assessed in this context. We found direct associations between levels of sIFNRα/β and levels of HIV RNA in CMV DNA+ patients at V0 and CMV lysate antibody in CMV DNA− patients at V6. This suggests that both viruses can invoke sIFNRα/β.

NK cell responses to CMV in HIV patients have been linked with an accumulation of NK cells expressing CD57 and/or NKG2C [7, 9]. Expression of NKG2C may impact the persistence of CMV as NKG2C+ NK cells can present CMV antigen to CD4 T-cells in an HLA-DR dependent pathway [21]. Previous studies link CMV seropositivity per se with the accumulation of NKG2C+ NK cells in transplant recipients and healthy adults [6]. Here proportions of NKG2C+ NK cells correlated with CMV-reactive antibody levels in CMV DNA− patients at V0. This suggests that quantifiable induction of NKG2C by CMV is a low zone phenomenon that is less apparent when all patients and controls are CMV seropositive with high levels of antibodies. Here proportions of CD56Lo NK cells expressing NKG2C were similar in patients and controls, and in patients who were CMV DNA+ or CMV DNA− at V0. This may explain the absence of significant associations between proportions of NKG2C+ NK cells and cIMT.

Expression of LIR1 has also been linked with CMV in transplant recipients [6, 12], but LIR1+ NK cell populations showed no significant effects of HIV disease or CMV DNA positivity at V0, and proportions did not correlate with CMV antibody levels, sIFNRα/β or cIMT.

An accumulation of CD56Lo FcRγ− NK cells has been described in Australian HIV patients over the first two years of ART, but was not associated with CMV antibody levels or other immune activation markers even though these were markedly elevated [9]. Our longitudinal data reveals low proportions of FcRγ− NK cells at V0, increasing over six months. The increase was most evident in patients who were CMV DNA+ at V0, so it may be driven by CMV once patients are on ART (and not before ART). However, proportions of FcRγ− NK cells were inversely related to levels of CMV antibodies and sIFNRα/β in CMV DNA− patients at V6. We also identified negative associations between the FcRγ− population and cIMT at V0, so the NK cell populations may be protective or the induction of these populations by CMV may be reversed at high CMV burdens. Together these findings invalidate CD56Lo FcRγ− NK cells as a metric of CMV in HIV patients with a high burden of CMV, and emphasise the more substantial influence of HIV on the population.

A limitation of our study is that CMV DNA status was only assessed before ART. However, a follow-up of the available buffy coats revealed CMV DNA in 13/23 patients at V3 and 1/3 patients at V12. CMV does not replicate in granulocytes, so its presence in buffy coats may reflect debris from CMV infection sites taken up by granulocytes. We also acknowledge that CMV-reactive antibody is an imperfect metric of the viral burden as levels rise on ART. However after 6 months on ART, levels of antibodies reactive with CMV lysate and CMV IE-1 correlated with cIMT (an early marker of CVD), so antibody levels link a greater CMV burden with poor vascular health on ART.

Conclusions

We have described lowered proportions of CD56Lo NK cells in Indonesian HIV patients and show that they do not improve on ART. The detection of CMV DNA at V0 did not differentiate the NK cell profiles. This may reflect the high CMV burden in all HIV patients. We show that FcRγ− NK cells may be depleted by very high CMV burdens, but NKG2C and antibody levels may be informative. Hence phenotypes identified as “footprints” of CMV on NK cells from transplant recipients performed poorly in this respect in HIV patients.

Additional file 1. Gating strategies used to 1) exclude electronic noise; 2) define live and single cells; and 3) define NK cell sub-populations using antibodies defined in Materials and Methods.