Literature DB >> 27287460

Perinatal HIV-1 transmission: Fc gamma receptor variability associates with maternal infectiousness and infant susceptibility.

Ria Lassaunière1,2, Alfred Musekiwa3, Glenda E Gray4, Louise Kuhn5,6, Caroline T Tiemessen7,8.   

Abstract

BACKGROUND: Accumulating data suggest that immune effector functions mediated through the Fc portion of HIV-1-specific immunoglobulin G (IgG) are a key component of HIV-1 protective immunity, affecting both disease progression and HIV-1 acquisition. Through studying Fc gamma receptor (FcγR) variants known to alter IgG Fc-mediated immune responses, we indirectly assessed the role of FcγR-mediated effector functions in modulating perinatal HIV-1 transmission risk. In this study, genotypic data from 79 HIV-1 infected mothers and 78 HIV-1 infected infants (transmitting cases) were compared to 234 HIV-1 infected mothers and 235 HIV-1 exposed-uninfected infants (non-transmitting controls). Associations, unadjusted and adjusted for multiple comparisons, were assessed for overall transmission and according to mode of transmission-intrapartum (n = 31), in utero (n = 20), in utero-enriched (n = 48).
RESULTS: The maternal FcγRIIIa-158V allele that confers enhanced antibody binding affinity and antibody-dependent cellular cytotoxicity capacity significantly associated with reduced HIV-1 transmission [odds ratio (OR) 0.47, 95 % confidence interval (CI) 0.28-0.79, P = 0.004; PBonf > 0.05]. In particular, the FcγRIIIa-158V allele was underrepresented in the in utero transmitting group (P = 0.048; PBonf > 0.05) and in utero-enriched transmitting groups (P = 0.0001; PBonf < 0.01). In both mother and infant, possession of an FcγRIIIb-HNA1b allotype that reduces neutrophil-mediated effector functions associated with increased transmission (OR 1.87, 95 % CI 1.08-3.21, P = 0.025; PBonf > 0.05) and acquisition (OR 1.91, 95 % CI 1.11-3.30, P = 0.020; PBonf > 0.05), respectively. Conversely, the infant FcγRIIIb-HNA1a|1a genotype was significantly protective of perinatal HIV-1 acquisition (OR 0.42, 95 % CI 0.18-0.96, P = 0.040; PBonf > 0.05).
CONCLUSIONS: The findings of this study suggest a potential role for FcγR-mediated effector functions in perinatal HIV-1 transmission. However, future studies are required to validate the findings of this study, in particular associations that did not retain significance after adjustment for multiple comparisons.

Entities:  

Keywords:  Alleles; Antibody-dependent cell cytotoxicity; HIV-1; IgG receptors; Phagocytosis; Risk factors; Vertical infectious disease transmission

Mesh:

Substances:

Year:  2016        PMID: 27287460      PMCID: PMC4902924          DOI: 10.1186/s12977-016-0272-y

Source DB:  PubMed          Journal:  Retrovirology        ISSN: 1742-4690            Impact factor:   4.602


Background

Beyond neutralization, immunoglobulin G (IgG) has the capacity to recruit potent effector functions of the innate immune system through engagement with Fc gamma receptors (FcγRs), which are widely expressed throughout the haematopoietic system. Directly or indirectly, FcγRs mediate antiviral processes that include antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), respiratory burst, antigen display, antibody production, cell activation, and release of inflammatory mediators [1]. FcγR-mediated effector functions are increasingly recognized as a component of HIV-1 protective immunity [2]. However, the role of these effector functions in modulating perinatal HIV-1 transmission risk is currently undefined. Given the contribution of FcγR-mediated effector functions to eliminating cell-free and cell-associated virus, these processes may modify the infectiousness of an HIV-1 infected mother. In addition, transplacental transferred anti-HIV-1 IgG may recruit innate immune effector functions in the foetus/infant through engaging FcγRs expressed on foetal/infant immune cells, and in this manner modify the infant’s susceptibility to HIV-1 acquisition. In vivo, FcγR-mediated effector functions are governed by a balance between activating and inhibitory FcγRs [3]. This balance is perturbed by functionally significant genotypic variants that modulate cellular activation and ultimately effector function capability. These include gene duplication/deletion that affects FcγR surface density [4, 5] and amino acid changes that alter the receptor’s binding affinity for antibody subclasses (FcγRIIa-H131R and FcγRIIIa-F158V) [6, 7], subcellular localization (FcγRIIb-I232T) [8], glycosylation patterns (FcγRIIIb-HNA1a|b|c) [9, 10], and the expression of a functional molecule (FcγRIIc-X57Q and c.798+1A>G) [11, 12]. Using these variants as a proxy for functional capability, this study indirectly assessed the potential role of FcγR-mediated effector functions in mother-to-child transmission of HIV-1. Due to the exploratory nature of the study, associations are reported unadjusted for multiple comparisons. However, adjusted associations were also considered. Our findings highlight a potential role for the FcγRIIIa-F158V variant in modulating maternal infectiousness, while in both mother and infant the FcγRIIIb-HNA1a|b|c variant associated with HIV-1 transmission.

Results

Cohort

A nested case–control study was undertaken to investigate FCGR variability in HIV-1 infected mothers and their infants recruited as part of four perinatal cohorts at two hospitals in Johannesburg, South Africa [13]. Overall, the four cohorts comprised 849 HIV-1 infected mothers and their infants, of whom 83 (10 %) acquired HIV-1 perinatally. In the present study, FCGR genotypic data from 79 HIV-1 infected mothers and 78 HIV-1 infected infants (transmitting cases) were compared with 234 HIV-1 infected mothers and 235 uninfected infants (non-transmitting controls). Mode of transmission was defined according to the presence/absence of detectable HIV-1 DNA in the infant at birth and 6 weeks of age. Infants that tested HIV-1 positive at 6 weeks of age, but who were negative at birth, were considered to be infected intrapartum (during labour and delivery), while infants that tested HIV-1 positive at birth were considered infected in utero. Infants that were HIV-1 positive at 6 weeks, but had no birth sample, were categorized as ‘undetermined’. Since 25/28 (89.2 %) mothers in the ‘undetermined’ category received drug interventions known to reduce intrapartum transmission [14-16], it was concluded that the majority of infants in this group were likely infected in utero and was thus combined with the in utero group to form an in utero-enriched group. Transmitting mothers had significantly higher HIV-1 plasma viral loads and lower CD4+ T cell counts compared to non-transmitting mothers (Table 1). In addition, infants infected in utero had a significantly lower mean birth weight compared to exposed-uninfected infants. Maternal age, parity, mode of delivery, gestation, child sex, and reported breast feeding did not differ significantly between transmitting mothers (total, intrapartum or in utero) and non-transmitting mothers.
Table 1

Demographic and clinical characteristics of mothers and infants

Maternal viral load (log10 copies/ml)Non-transmitting (N = 234)a Total transmitting (N = 79)Intrapartum transmitting (N = 31)In utero transmitting (N = 20)b In utero-enriched transmitting (N = 48)
Nc Nc Nc Nc Nc
Median (IQR)2184.08 (3.20–4.67)714.77 (3.77–5.34)***274.77 (3.77–5.26)**184.89 (4.20–5.47)***444.81 (3.78–5.44)***
Maternal CD4+ T cell count
 Mean (std)217520 (275)70418 (222)**27402 (179)*15409 (276)43428 (247)*
Maternal age (years)
 Mean (std)23226.9 (5.1)7827.6 (5.2)3026.7 (5.0)2027.5 (5.5)4828.2 (5.2)
Parity
 Mean (std)2312.1 (1.0)772.3 (1.2)292.3 (1.2)202.2 (1.2)482.3 (1.2)
Mode of delivery [N (%)]
 Caesarean section23217 (7.3)7710 (13.0)292 (6.9)203 (15.0)488 (16.7)
Gestation [N (%)]
 Preterm <37 weeks21527 (12.6)7012 (17.1)257 (28.0)194 (21.1)455 (11.1)
Child sex [N (%)]
 Male234101 (43.1)7939 (49.4)3118 (58.0)208 (40.0)4821 (43.8)
Birth weight (g)
 Mean (std)2312980 (453)782889 (442)302943 (400)202784 (320)*482856 (468)
Breast fed N (%)
 >3 days23334 (14.6)7810 (12.8)305 (16.7)202 (10.0)485 (10.4)
Antiretrovirals
 Nevirapine234114 (48.7)7947 (59.5)3111 (35.5)2013 (65.0)4836 (75.0)**
 Triple drug therapy2346 (2.6)792 (2.5)310200482 (4.2)
 Other drugsd 23411 (4.7)796 (7.6)313 (9.7)201 (5.0)483 (6.3)

For comparisons with non-transmitting mothers: * P < 0.05; ** P < 0.01; *** P < 0.001

aFive unmatched mothers

bOne unmatched mother

cNumber of participants for whom data were available

dDifferent regimens of zidovudine (AZT) and lamivudine (3TC)

Demographic and clinical characteristics of mothers and infants For comparisons with non-transmitting mothers: * P < 0.05; ** P < 0.01; *** P < 0.001 aFive unmatched mothers bOne unmatched mother cNumber of participants for whom data were available dDifferent regimens of zidovudine (AZT) and lamivudine (3TC)

Variants not detected in the study cohort

The FcγRIIb 2B.4 promoter haplotype (c.-386C/c.-120A) and expression of functional FcγRIIc are rare to absent in Black South African individuals [17]. Accordingly, in the present cohort of Black South African mothers and infants, none possessed the FcγRIIb 2B.4 promoter haplotype. Furthermore, despite 84/313 (25.3 %) mothers and 81/313 (25.9 %) infants bearing an FcγRIIc-Q57 allele, only one non-transmitting mother expressed functional FcγRIIc as predicted by the FCGR2C c.798+1A>G splice-site variant [12].

FCGR copy number variability

The frequency of FCGR3A gene copy number variability (CNV) was low, occurring in 17/313 (5.4 %) mothers and 14/313 (4.5 %) infants (Fig. 1), and did not associate with perinatal HIV-1 transmission (P > 0.05 for all comparisons; Additional file 1: Table S1). FCGR3B gene CNV was observed more frequently in 92/313 (29.4 %) mothers and 100/313 (31.9 %) infants (Fig. 1). The overall distribution of FCGR3B gene copy number was significantly different between exposed-uninfected infants and intrapartum infected infants (P = 0.029), with the intrapartum infected group having fewer FCGR3B gene duplications and no gene deletions (Additional file 1: Table S1). Maternal FCGR3B gene CNV did not associate with HIV-1 transmission (P > 0.05 for all comparisons; Additional file 1: Table S1).
Fig. 1

The distribution of FCGR3A and FCGR3B gene copy number in HIV-1 infected mothers (a, b, respectively) and their infants (c, d, respectively)

The distribution of FCGR3A and FCGR3B gene copy number in HIV-1 infected mothers (a, b, respectively) and their infants (c, d, respectively)

FcγR variants and infectiousness of the transmitter/mother

To determine if FcγR variants were associated with the infectiousness of the mother, HIV-1 transmission was assessed according to maternal genotypes and allele carriage in a univariate and multivariate model (Table 2, 3, respectively). Overall, the maternal FcγRIIIa-F158V variant significantly associated with HIV-1 transmission (P = 0.017), while a trend was observed for the FcγRIIIb-HNA1a|b|c variant (P = 0.058).
Table 2

FcγR genotypes and allele carriage in HIV-1 non-transmitting and transmitting mothers

Non-transmittingTotal transmittingIntrapartum transmitting
N (%)N (%)OR (95 % CI)P valuePBonf N (%)OR (95 % CI)P valuePBonf
FcγRIIa (rs1801274) Overall associationP = 0.379nsP = 0.688ns
Genotype
 131HH (ref)60 (25.6)15 (19.0)16 (19.4)1
 131HR106 (45.3)36 (45.6)1.36 (0.69–2.68)P = 0.378ns14 (45.2)1.32 (0.48–3.62)P = 0.558ns
 131RR68 (29.1)28 (35.4)1.65 (0.80–3.37)P = 0.172ns11 (35.5)1.62 (0.56–4.64)P = 0.371ns
Allele carriage
 ≥1 131H allele166 (70.9)51 (64.6)0.75 (0.43–1.28)P = 0.288ns20 (64.5)0.74 (0.34–1.64)P = 0.464ns
 ≥1 131R allele174 (74.4)64 (81.0)1.47 (0.78–2.77)P = 0.233ns25 (80.6)1.44 (0.56–3.67)P = 0.449ns
FcγRIIb (rs1050501) Overall associationP = 0.194nsP = 0.397ns
Genotype
 232II (ref)113 (48.3)32 (40.5)112 (38.7)1
 232IT103 (44.0)36 (45.6)1.23 (0.71–2.13)P = 0.450ns15 (48.4)1.37 (0.61–3.07)P = 0.442ns
 232TT18 (7.7)11 (13.9)2.16 (0.93–5.03)P = 0.075ns4 (12.9)2.09 (0.61–7.20)P = 0.242ns
Allele carriage
 ≥1 232I allele216 (92.3)68 (86.3)0.52 (0.23–1.14)P = 0.103ns27 (87.1)0.56 (0.18–1.79)P = 0.239ns
 ≥1 232T allele121 (51.7)47 (59.5)1.37 (0.82–2.30)P = 0.231ns19 (61.3)1.48 (0.69–3.18)P = 0.317ns
FcγRIIIa (rs396991) Overall associationP = 0.017nsP = 0.380ns
Genotype
 158F/FF/FF (ref)76 (32.5)40 (50.6)110 (32.3)1
 158FV/FFV/FVV121 (51.7)31 (39.2)0.49 (0.28–0.84) P = 0.010 ns19 (61.3)1.19 (0.53–2.70)P = 0.672ns
 158V/VV36 (15.4)8 (10.1)0.41 (0.17–0.97) P = 0.041 ns2 (6.5)0.41 (0.09–1.97)P = 0.266ns
Allele carriage
 ≥1 158F allele197 (84.2)71 (89.9)1.67 (0.74–3.75)P = 0.217ns29 (93.5)2.72 (0.62–11.91)P = 0.183ns
 ≥1 158V allele157 (67.1)39 (49.4)0.47(0.28–0.79) P = 0.004 ns21 (67.7)1.01 (0.45–2.25)P = 0.980ns
FcγRIIIb Overall associationP = 0.058nsP = 0.647ns
Genotype
 HNA1a+/1b−/1c−51 (21.8)13 (16.5)0.68 (0.32–1.44)P = 0.315ns4 (12.9)0.51 (0.15–1.70)P = 0.276ns
 HNA1a−/1b+/1c−23 (9.8)7 (8.9)0.81 (0.31–2.11)P = 0.668ns4 (12.9)1.14 (0.33–3.92)P = 0.837ns
 HNA1a−/1b−/1c+13 (5.6)0 (0)0 (0)
 HNA1a+/1b+/1c− (ref)72 (30.8)27 (34.2)111 (35.5)1
 HNA1a+/1b−/1c+40 (17.1)11 (13.9)0.73 (0.33–1.63)P = 0.448ns5 (16.1)0.82 (0.27–2.52)P = 0.727ns
 HNA1a−/1b+/1c+22 (9.4)17 (21.5)2.06 (0.95–4.46)P = 0.066ns5 (16.1)1.49 (0.47–4.75)P = 0.502ns
 HNA1a+/1b+/1c+12 (5.1)4 (5.1)0.89 (0.26–3.00)P = 0.849ns2 (6.5)1.09 (0.21–5.54)P = 0.916ns
Allele carriage
 ≥1 HNA1a allotype175 (74.8)55 (69.6)0.77 (0.44–1.36)P = 0.369ns22 (71.0)0.82 (0.36–1.89)P = 0.648ns
 ≥1 HNA1b allotype129 (55.1)55 (69.6)1.87 (1.08–3.21) P = 0.025 ns22 (71.0)1.99 (0.88–4.50)P = 0.099ns
 ≥1 HNA1c allotype87 (37.2)32 (40.5)1.15 (0.68–1.94)P = 0.599ns12 (38.7)1.07 (0.49–2.30)P = 0.869ns

P values less than 0.05 are indicated in italics

P Bonferroni corrected P value, OR odds ratio, CI confidence interval, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed

Table 3

Maternal FcγR variants associated with perinatal HIV-1 transmission after adjusting for confounding variables

Total transmittingIntrapartum transmitting
UnivariateAdjusted for VLa PBonf UnivariateAdjusted for VLPBonf
AOR (95 % CI)P valueAOR (95 % CI)P value
FcγRIIa (rs1801274)
Genotype
 131HH (ref)11
 131HRP = 0.3781.81 (0.82–3.99)P = 0.141nsP = 0.5581.43 (0.46–4.46)P = 0.539ns
 131RRP = 0.1722.59 (1.14–5.87) P = 0.023 nsP = 0.3712.57 (0.80–8.26)P = 0.113ns
Allele carriage
 ≥1 131H alleleP = 0.2880.58 (0.33–1.05)P = 0.071nsP = 0.4640.49 (0.21–1.16)P = 0.106ns
 ≥1 131R alleleP = 0.2332.11 (1.00–4.42) P = 0.049 nsP = 0.4491.82 (0.64–5.23)P = 0.263ns
FcγRIIb (rs1050501)
Genotype
 232II (ref)11
 232ITP = 0.4501.29 (0.71–2.35)P = 0.408nsP = 0.4421.60 (0.65–3.93)P = 0.309ns
 232TTP = 0.0752.80 (1.11–7.10) P = 0.030 nsP = 0.2423.25 (0.87–12.17)P = 0.080ns
Allele carriage
 ≥1 232I alleleP = 0.1030.41 (0.17–0.97) P = 0.043 nsP = 0.2390.40 (0.12–1.33)P = 0.133ns
 ≥1 232T alleleP = 0.2311.49 (0.84–2.62)P = 0.171nsP = 0.3171.81 (0.77–4.28)P = 0.175ns
FcγRIIIa (rs396991)
Genotype
 158F/FF/FF (ref)11
 158FV/FFV/FVV P = 0.010 0.51 (0.28–0.92) P = 0.026 nsP = 0.6721.09 (0.45–2.64)P = 0.850ns
 158V/VV P = 0.041 0.30 (0.11–082) P = 0.018 nsP = 0.2660.20 (0.02–1.70)P = 0.141ns
Allele carriage
 ≥1 158F alleleP = 0.2172.29 (0.89–5.88)P = 0.084nsP = 0.1835.22 (0.67–40.41)P = 0.114ns
 ≥1 158V allele P = 0.004 0.46 (0.26–0.82) P = 0.008 nsP = 0.9800.89 (0.37–2.12)P = 0.786ns
FcγRIIIb
Genotype
 HNA1a+/1b−/1c−P = 0.3150.47 (0.20–1.10)P = 0.083nsP = 0.2760.45 (0.12–1.61)P = 0.218ns
 HNA1a−/1b+/1c−P = 0.6680.90 (0.33–2.46)P = 0.839nsP = 0.8371.31 (0.35–4.87)P = 0.683ns
 HNA1a−/1b−/1c+
 HNA1a+/1b+/1c− (ref)11
 HNA1a+/1b−/1c+P = 0.4480.63 (0.26–1.51)P = 0.300nsP = 0.7270.68 (0.19–2.42)P = 0.547ns
 HNA1a−/1b+/1c+P = 0.0661.37 (0.59–3.19)P = 0.466nsP = 0.5021.20 (0.35–4.15)P = 0.777ns
 HNA1a+/1b+/1c+P = 0.8490.42 (0.10–1.71)P = 0.226nsP = 0.9160.42 (0.05–3.72)P = 0.433ns
Allele carriage
 ≥1 HNA1a allotypeP = 0.3690.78 (0.43–1.44)P = 0.433nsP = 0.6480.73 (0.30–1.75)P = 0.481ns
 ≥1 HNA1b allotype P = 0.025 2.11 (1.16–3.85) P = 0.014 nsP = 0.0992.18 (0.90–5.33)P = 0.086ns
 ≥1 HNA1c allotypeP = 0.5990.95 (0.54–1.68)P = 0.865nsP = 0.8690.88 (0.38–2.04)P = 0.759ns

aThe multivariate analysis adjusted for demographic and clinical variables that independently associated with transmission. Due to high correlation with viral load, CD4 T cell counts were not included in the multivariate model

P values less than 0.05 are indicated in italics

P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed

FcγR genotypes and allele carriage in HIV-1 non-transmitting and transmitting mothers P values less than 0.05 are indicated in italics P Bonferroni corrected P value, OR odds ratio, CI confidence interval, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed Maternal FcγR variants associated with perinatal HIV-1 transmission after adjusting for confounding variables aThe multivariate analysis adjusted for demographic and clinical variables that independently associated with transmission. Due to high correlation with viral load, CD4 T cell counts were not included in the multivariate model P values less than 0.05 are indicated in italics P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed Carriage of at least one maternal FcγRIIIa-158V allele (confers enhanced antibody binding affinity) associated with a reduced odds of perinatal HIV-1 transmission (OR 0.47, 95 % CI 0.28–0.79, P = 0.004). When analysed according to mode of transmission, a similar association was observed for the in utero transmitting group (OR 0.39, 95 % CI 0.16–0.99, P = 0.048) and in utero-enriched transmitting group (OR 0.29, 95 % CI 0.15–0.55, P = 0.0001), but not for the intrapartum transmitting group (OR 1.01, 95 % CI 0.45–2.25, P = 0.980). These associations remained significant for the total transmitting group and in utero-enriched group in the multivariate analysis (P = 0.008 and P = 0.001, respectively) and for the in utero-enriched group after adjustment for multiple comparisons (univariate: PBonf = 0.004; multivariate: PBonf = 0.042). Possession of an FcγRIIIb-HNA1b allele (modulates neutrophil function) significantly associated with an increased odds of HIV-1 transmission in both the univariate analysis (OR 1.87, 95 % CI 1.08–3.21, P = 0.025) and multivariate analysis (P = 0.014). A similar association was observed for the FcγRIIIb-HNA1b|1c genotype in the in utero transmitting group (OR 5.45, 95 % CI 1.21–24.66, P = 0.028) and in utero-enriched transmitting group (OR 2.45, 95 % CI 1.01–5.96, P = 0.047). However, these associations were not significant in the multivariate analysis. The FcγRIIa-H131R and FcγRIIb-I232T variants did not associate with perinatal HIV-1 transmission in the univariate analysis. However, after adjustment for confounding variables, the FcγRIIa-131RR genotype (receptor has reduced affinity for IgG2) and FcγRIIb-232TT genotype (confers reduced inhibitory capacity) associated with increased odds of HIV-1 transmission (Table 3).

FcγR variants and susceptibility of the recipient/infant

In addition to an association observed in the mother, the infant FcγRIIIb-HNA1a|b|c variant also associated with susceptibility to HIV-1 acquisition in the infant (P = 0.046). In particular, carriage of least one FcγRIIIb-HNA1b allotype significantly associated with increased susceptibility to HIV-1 acquisition in the univariate analysis (OR 1.91, 95 % CI 1.11–3.30, P = 0.020; Table 4) and multivariate analysis (P = 0.019; Table 5). Conversely, homozygosity for the FcγRIIIb-HNA1a allotype associated with reduced odds of HIV-1 acquisition in the total infected group (OR 0.42, 95 % CI 0.18–0.96, P = 0.040) and intrapartum infected group (OR 0.19, 95 % CI 0.04–0.89, P = 0.035). The protective effect of FcγRIIIb-HNA1a homozygosity was also observed when compared to other allotype combinations, however not all comparisons remained significant in the multivariate analysis (Additional file 2: Table S2).
Table 4

FcγR genotypes and allele carriage in HIV-1 exposed-uninfected and infected infants

Exposed-uninfectedTotal infectedIntrapartum infected
N (%)N (%)OR (95 % CI)P valuePBonf N (%)OR (95 % CI)P valuePBonf
FcγRIIa (rs1801274) Overall associationP = 0.704nsP = 0.907ns
Genotype
 131HH (ref)47 (20.0)19 (24.4)17 (22.6)1
 131HR116 (49.4)36 (46.2)0.77 (0.40–1.47)P = 0.426ns14 (45.2)0.81 (0.31–2.13)P = 0.670ns
 131RR72 (30.6)23 (29.5)0.79 (0.39–1.61)P = 0.516ns10 (32.3)0.93 (0.33–2.62)P = 0.895ns
Allele carriage
 ≥1 131H allele163 (69.4)55 (70.5)1.06 (0.60–1.85)P = 0.848ns21 (67.7)0.93 (0.42–2.07)P = 0.854ns
 ≥1 131R allele188 (80.0)59 (75.6)0.76 (0.42–1.43)P = 0.414ns24 (77.4)0.86 (0.35–2.11)P = 0.737ns
FcγRIIb (rs1050501) Overall associationP = 0.278nsP = 0.773ns
Genotype
 232II (ref)116 (49.4)33 (42.3)114 (45.2)1
 232IT90 (38.3)30 (38.5)1.17 (0.67–2.06)P = 0.583ns12 (38.7)1.10 (0.49–2.51)P = 0.811ns
 232TT29 (12.3)15 (19.2)1.82 (0.87–3.79)P = 0.110ns5 (16.1)1.43 (0.48–4.29)P = 0.525ns
Allele carriage
 ≥1 232I allele206 (86.8)63 (78.6)0.59 (0.30–1.17)P = 0.132ns26 (83.9)0.73 (0.26–2.06)P = 0.554ns
 ≥1 232T allele119 (47.2)45 (55.7)1.33 (0.79–2.23)P = 0.280ns17 (54.8)1.18 (0.56–2.51)P = 0.660ns
FcγRIIIa (rs396991) Overall associationP = 0.339nsP = 0.964ns
Genotype
 158F/FF/FF (ref)86 (36.6)34 (43.6)112 (38.7)1
 158FV/FFV/FVV118 (50.2)38 (48.7)0.81 (0.47–1.40)P = 0.456ns15 (48.4)0.91 (0.41–2.04)P = 0.821ns
 158V/VV31 (13.2)6 (7.7)0.49 (0.19–1.28)P = 0.145ns4 (12.9)0.92 (0.28–3.08)P = 0.899ns
Allele carriage
 ≥1 158F allele194 (82.6)72 (92.3)0.75 (0.44–1.26)P = 0.272ns27 (87.1)0.91 (0.42–1.97)P = 0.819ns
 ≥1 158V allele149 (63.4)44 (56.4)1.82 (0.73–4.55)P = 0.198ns19 (61.3)1.03(0.34–3.13)P = 0.964ns
FcγRIIIb Overall association P = 0.046 ns P = 0.023 ns
Genotype
 HNA1a+/1b−/1c−58 (24.7)9 (11.5)0.42 (0.18–0.96) P = 0.040 ns2 (6.5)0.19(0.04–0.89) P = 0.035 ns
 HNA1a−/1b+/1c−25 (10.6)7 (9.0)0.76 (0.29–1.95)P = 0.565ns1 (3.2)0.22 (0.03–1.81)P = 0.160ns
 HNA1a−/1b−/1c+14 (6.0)4 (5.1)0.77 (0.23–2.55)P = 0.672ns0 (0)
 HNA1a+/1b+/1c− (ref)73 (31.2)27 (34.6)113 (41.9)1
 HNA1a+/1b−/1c+36 (15.3)11 (14.1)0.83 (0.37–1.85)P = 0.643ns7 (22.6)1.09 (0.40–2.97)P = 0.863ns
 HNA1a−/1b+/1c+22 (9.4)13 (16.7)1.60 (0.71–3.61)P = 0.260ns7 (22.6)1.79 (0.63–5.03)P = 0.272ns
 HNA1a+/1b+/1c+7 (3.0)7 (9.0)2.70 (0.87–8.43)P = 0.086ns1 (3.2)0.80 (0.09–7.07)P = 0.843ns
Allele carriage
 ≥1 HNA1a allotype174 (74.0)54 (69.2)0.79 (0.45–1.38)P = 0.408ns23 (74.2)1.01 (0.43–2.37)P = 0.986ns
 ≥1 HNA1b allotype127 (54.0)54 (69.2)1.91 (1.11–3.30) P = 0.020 ns22 (71.0)2.08 (0.92–4.70)P = 0.079ns
 ≥1 HNA1c allotype79 (33.6)35 (44.9)1.61 (0.95–2.71)P = 0.075ns15 (48.4)1.85 (0.87–3.94)P = 0.110ns

P values less than 0.05 are indicated in italics

P Bonferroni corrected P value, OR odds ratio, CI confidence interval, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed

Table 5

Infant FcγR variants associated with perinatal HIV-1 acquisition after adjusting for confounding variables

Total infectedIntrapartum infected
UnivariateAdjusted for VLa PBonf UnivariateAdjusted for VLPBonf
AOR (95 % CI)P valueAOR (95 % CI)P value
FcγRIIa (rs1801274)
Genotype
 131HH (ref)11
 131HRP = 0.4260.79 (0.38–1.62)P = 0.519nsP = 0.6700.80 (0.27–2.32)P = 0.685ns
 131RRP = 0.5160.84 (0.39–1.83)P = 0.657nsP = 0.8950.97 (0.31–2.97)P = 0.951ns
Allele carriage
 ≥1 131H alleleP = 0.8481.01 (0.55–1.85)P = 0.970nsP = 0.8540.89 (0.37–2.12)P = 0.792ns
 ≥1 131R alleleP = 0.4140.81 (0.41–1.59)P = 0.536nsP = 0.7370.87 (0.32–2.32)P = 0.774ns
FcγRIIb (rs1050501)
Genotype
 232II (ref)11
 232ITP = 0.5831.29 (0.70–2.39)P = 0.415nsP = 0.8111.40 (0.57–3.44)P = 0.469ns
 232TTP = 0.1101.97 (0.89–4.37)P = 0.096nsP = 0.5251.82 (0.56–5.90)P = 0.317ns
Allele carriage
 ≥1 232I alleleP = 0.1320.57 (0.28–1.20)P = 0.140nsP = 0.5540.65 (0.22–1.90)P = 0.429ns
 ≥1 232T alleleP = 0.2801.46 (0.83–2.57)P = 0.195nsP = 0.6601.50 (0.65–3.47)P = 0.344ns
FcγRIIIa (rs396991)
Genotype
 158F/FF/FF (ref)11
 158FV/FFV/FVVP = 0.4560.87 (0.49–1.56)P = 0.647nsP = 0.8211.14 (0.49–2.66)P = 0.764ns
 158V/VVP = 0.1450.28 (0.08–1.00)P = 0.051nsP = 0.8990.28 (0.03–2.27)P = 0.232ns
Allele carriage
 ≥1 158F alleleP = 0.2723.34 (0.96–11.57)P = 0.058nsP = 0.8193.89 (0.50–30.31)P = 0.194ns
 ≥1 158V alleleP = 0.1980.75 (0.43–1.31)P = 0.311nsP = 0.9640.95 (0.42–2.19)P = 0.910ns
FcγRIIIb
Genotype
 HNA1a+/1b−/1c− P = 0.040 0.37 (0.15–0.92) P = 0.033 ns P = 0.035 0.20 (0.04–0.96) P = 0.044 ns
 HNA1a−/1b+/1c−P = 0.5650.69 (0.25–1.86)P = 0.459nsP = 0.1600.20 (0.03–1.69)P = 0.139ns
 HNA1a−/1b−/1c+P = 0.6720.70 (0.18–2.78)P = 0.616nsP = 0.970
 HNA1a+/1b+/1c− (ref)11
 HNA1a+/1b−/1c+P = 0.6430.73 (0.31–1.72)P = 0.478nsP = 0.8630.97 (0.33–2.79)P = 0.949ns
 HNA1a−/1b+/1c+P = 0.2601.57 (0.64–3.88)P = 0.326nsP = 0.2721.80 (0.57–5.71)P = 0.316ns
 HNA1a+/1b+/1c+P = 0.0862.36 (0.63–8.75)P = 0.201nsP = 0.843nsP = 0.123
Allele carriage
 ≥1 HNA1a allotypeP = 0.4080.79 (0.43–1.46)P = 0.452nsP = 0.9861.01 (0.40–2.56)P = 0.981ns
 ≥1 HNA1b allotype P = 0.020 2.02 (1.12–3.64) P = 0.019 nsP = 0.0791.91 (0.81–4.53)P = 0.140ns
 ≥1 HNA1c allotypeP = 0.0751.52 (0.86–2.69)P = 0.146nsP = 0.1101.74 (0.77–3.96)P = 0.185ns

P values less than 0.05 are indicated in italics

P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, –, the variable of interest was not detected in any of the cases and thus could not be analysed

aThe multivariate analysis adjusted for demographic and clinical variables that independently associated with transmission. Due to high correlation with viral load, CD4 T cell counts were not included in the multivariate model

FcγR genotypes and allele carriage in HIV-1 exposed-uninfected and infected infants P values less than 0.05 are indicated in italics P Bonferroni corrected P value, OR odds ratio, CI confidence interval, ns not statistically significant, –, the variable of interest was not detected in any of the cases and thus could not be analysed Infant FcγR variants associated with perinatal HIV-1 acquisition after adjusting for confounding variables P values less than 0.05 are indicated in italics P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, –, the variable of interest was not detected in any of the cases and thus could not be analysed aThe multivariate analysis adjusted for demographic and clinical variables that independently associated with transmission. Due to high correlation with viral load, CD4 T cell counts were not included in the multivariate model

Linkage disequilibrium at the low affinity FCGR gene locus

Linkage disequilibrium (LD) between the different FcγR variants could potentially modulate associations observed for the individual FcγRs. Given the strong association of the maternal FcγRIIIa-F158V variant with perinatal HIV-1 transmission, we determined LD in the study cohort (Fig. 2) and adjusted for its possible confounding effect on the associations observed for FcγRIIIb-HNA1a|b|c, FcγRIIa-H131R and FcγRIIb-I232T in the multivariate analysis (Table 6).
Fig. 2

LD for FcγR variants in the study cohort comprising Black South African HIV-1 infected mothers (left) and their infants (right). Values and colours reflect r2 (× 100) and D′/LOD measures of LD, respectively. The black triangle depicts a haplotype block that is indicative of the relationship between the FcγRIIIb-HNA1b and -HNA1c allotypes. Such that HNA1b and HNA1c are identical at amino acid position 65 (p.65S) and differ only at amino acid position 78 (p.78A1b>D1c)

Table 6

Multivariate analysis adjusted FcγRIIIa-F158V

Multivariate, not adjusted for FcγRIIIa-F158VPBonf Multivariate analysis with adjustment for FcγRIIIa-F158V genotype and allele carriage
F158V genotypePBonf ≥1 158F allelePBonf ≥1 158V allelePBonf
Maternal
FcγRIIa (rs1801274)
131RR genotype
 Total transmitting P = 0.023 ns1.93 (0.82–4.57), P = 0.133ns2.25 (0.97–5.24), P = 0.133ns2.08 (0.89–4.86), P = 0.091ns
 In utero transmitting P = 0.029 ns9.37 (1.01–87.22), P = 0.049 ns9.59 (1.05–87.37), P = 0.045 ns10.26 (1.12–94.28), P = 0.040 ns
 In utero-enriched transmitting P = 0.048 ns1.94 (0.66–5.70), P = 0.226ns2.60 (0.90–7.52), P = 0.077ns1.98 (0.67–5.80), P = 0.214ns
≥1 131H allele
 In utero transmitting P = 0.045 ns0.42 (0.14–1.29), P = 0.132ns0.40 (0.14–1.15), P = 0.088ns0.39 (0.13–1.18), P = 0.096ns
≥1 131R allele
 Total transmitting P = 0.049 ns1.80 (0.84–3.85), P = 0.128ns1.90 (0.89–4.05), P = 0.095ns1.91 (0.90–4.06), P = 0.091ns
FcγRIIb (rs1050501)
232TT genotype
 Total transmitting P = 0.030 ns2.06 (0.78–5.41), P = 0.144ns2.48 (0.96–9.36), P = 0.060ns2.17 (0.83–5.67), P = 0.115ns
≥1 232I allele
 Total transmitting P = 0.043 ns0.49 (0.20–1.20), P = 0.118ns0.43 (0.18–1.05), P = 0.063ns0.48 (0.20–1.18), P = 0.110ns
FcγRIIIb
≥1 HNA1b allotype
 Total transmitting P = 0.014 ns2.26 (1.22–4.17), P = 0.009 ns2.19 (1.20–4.02), P = 0.011 ns2.21 (1.20–4.11), P = 0.011 ns
 In utero-enriched transmitting P = 0.031 ns2.43 (1.15–5.16), P = 0.020 ns2.32 (1.11–4.82), P = 0.025 ns2.40 (1.13–5.10), P = 0.023 ns
Infant
FcγRIIIb
HNA1a+/1b−/1c− genotype
 Total infected P = 0.033 ns0.37 (0.15–0.93), P = 0.034 ns0.37 (0.15–0.91), P = 0.031 ns0.37 (0.15–0.93), P = 0.034 ns
 Intrapartum infected P = 0.044 ns0.20 (0.04–0.96), P = 0.044 ns0.19 (0.04–0.95), P = 0.043 ns0.20 (0.04–0.96), P = 0.044 ns
HNA1a+/1b+/1c+ genotype
 In utero-enriched infected P = 0.032 ns5.67 (1.39–23.11), P = 0.016 ns4.47 (1.13–17.64), P = 0.032 ns5.74 (1.39–23.57), P = 0.015 ns
≥1 HNA1b allotype
 Total infected P = 0.019 ns2.11 (1.16–3.83), P = 0.014 ns2.04 (1.12–3.69), P = 0.019 ns2.08 (1.15–3.77), P = 0.016 ns
 In utero-enriched infected P = 0.037 ns2.29 (1.10–4.76), P = 0.026 ns2.22 (1.07–4.58), P = 0.032 ns2.26 (1.09–4.68), P = 0.028 ns

P values less than 0.05 are indicated in italics

P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, ns not statistically significant

–, the variable of interest was not detected in any of the cases and thus could not be analysed

LD for FcγR variants in the study cohort comprising Black South African HIV-1 infected mothers (left) and their infants (right). Values and colours reflect r2 (× 100) and D′/LOD measures of LD, respectively. The black triangle depicts a haplotype block that is indicative of the relationship between the FcγRIIIb-HNA1b and -HNA1c allotypes. Such that HNA1b and HNA1c are identical at amino acid position 65 (p.65S) and differ only at amino acid position 78 (p.78A1b>D1c) Multivariate analysis adjusted FcγRIIIa-F158V P values less than 0.05 are indicated in italics P Bonferroni corrected P value, AOR adjusted odds ratio, CI confidence interval, VL viral load, bwt birth weight, ns not statistically significant –, the variable of interest was not detected in any of the cases and thus could not be analysed To determine LD for the FcγRIIIb-HNA1a|b|c allotypes, we used, as a tag-variant, one of four amino acid changes that differentiate HNA1a from HNA1b and HNA1c (p.Na65Sbc, rs448740) as well as the variant that differentiates HNA1c from HNA1a and HNA1b (p.Aab78Dc, rs5030738). The maternal FcγRIIIb-Na65Sbc variant was not in LD with FcγRIIIa-F158V (P = 0.057, D′ = 0.189, r2 = 0.020), while the p.Aab78Dc variant was in moderate LD with FcγRIIIa-F158V (P = 0.024, D′ = 0.471, r2 = 0.029) with the FcγRIIIa-158V allele overrepresented in individuals bearing an FcγRIIIb-78A allele (HNA1c individuals) compared to FcγRIIIb-78DD individuals (59 vs. 20 %). Following adjustment for FcγRIIIa-F158V in the multivariate analysis, the associations previously observed for the FcγRIIIb-HNA1b allotype strengthened for both the total and in utero-enriched transmitting groups (Table 6). Similarly, significance was retained in the infants with associations strengthening for the FcγRIIIb-HNA1a+|1b+|1c+ genotype in the in utero-enriched infected group and carriage of an HNA1b allotype in the total infected and in utero-enriched infected groups (Table 6). Overall, this suggests that the observed associations between the FcγRIIIb-HNA1a|b|c variant and perinatal HIV-1 transmission are not only independent of FcγRIIIa-F158V, but also potentially negatively confounded by FcγRIIIa-F158V. Both maternal FcγRIIa-H131R and FcγRIIb-I232T was in moderate LD with FcγRIIIa-F158V (P < 0.0001, D′ = 0.351, r2 = 0.077 and P = 0.002, D′ = 0.448, r2 = 0.052, respectively), with the FcγRIIIa-158V allele overrepresented in individuals bearing an FcγRIIa-131H allele compared to FcγRIIa-131RR individuals (66 vs. 39 %) and in individuals bearing an FcγRIIb-232I allele compared to FcγRIIb-232TT individuals (59 vs. 39 %). When adjusted for FcγRIIIa-F158V in the multivariate analysis, all associations for the FcγRIIa-H131R and FcγRIIb-I232T weakened with the majority losing significance (Table 6). This suggests that the associations observed for FcγRIIa-H131R and FcγRIIb-I232T potentially resulted from LD with FcγRIIIa-F158V.

Discussion

The extent to which FcγR-mediated effector mechanisms contribute to the risk of HIV-1 transmission and acquisition is currently undefined. Through the study of FcγR functional variants we indirectly demonstrated a role for FcγR-mediated effector functions in modulating perinatal HIV-1 transmission and acquisition. Our findings indicate that the FcγRIIIa-F158V variant that alters antibody binding affinity and functional capacity is associated with infectiousness of an HIV-1 infected mother, while the FcγRIIIb-HNA1a|b|c variant that affects neutrophil effector function is associated with both maternal infectiousness and infant susceptibility. The significance of FcγR-mediated effector functions in maintaining immune homeostasis is validated by the association of functionally significant FcγR variants with immune disorders [18]. Here we describe an association between the high binding FcγRIIIa allele and reduced maternal infectiousness in perinatal transmission of HIV-1. In particular, carriage of the FcγRIIIa-158V allele by the mother was associated with ~50 % reduction in the odds of HIV-1 transmission. The significant association in the in utero-enriched transmission group, but not in the intrapartum group, suggests that the underlying mechanism may be more pronounced at the maternofoetal interface. FcγRIIIa-bearing leukocytes, including natural killer cells, macrophages and γδ T lymphocytes, are readily recruited to the decidua where they likely contribute to eliminating cell-associated HIV-1 through ADCC [19, 20]. While decidual natural killer cells are primarily FcγRIIIa negative during a healthy pregnancy, they likely upregulate FcγRIIIa expression in the presence of HIV-1 as demonstrated for other perinatally transmitted viruses—human cytomegalovirus and hepatitis C virus [21, 22]. Since cell-associated HIV-1 is thought to be more infectious in utero compared to cell-free virus [23], ADCC-mediated killing of HIV-1 infected cells may contribute to protective immunity at the maternofoetal interface. Of consequence, the FcγRIIIa-F158V variant impacts on ADCC capacity, such that the FcγRIIIa-158V allele exhibits enhanced IgG binding and ADCC capacity compared to the FcγRIIIa-158F allele [7, 24]. The decreased in utero transmission risk associated with the FcγRIIIa-158V allele suggests that the enhanced ADCC capacity conferred by this variant may potentiate elimination of cell-associated HIV-1 and reduce the odds of HIV-1 crossing the placenta through cell–cell interactions. However, the role of ADCC and other potential FcγRIIIa-mediated immune mechanisms—systemic or localized—in perinatal HIV-1 transmission needs to be further elucidated. In contrast to that observed for the FcγRIIIa-F158V variant, an association between the FcγRIIIb-HNA1a|b|c allotype and perinatal HIV-1 transmission was observed in both the mother and infant. The different FcγRIIIb allotypes arise from multiple amino acid substitutions that do not alter antibody binding affinity, but affect the glycosylation and tertiary structure of the receptor [9, 24–26]. Neutrophils from FcγRIIIb-HNA1a homozygous donors have an enhanced phagocytic and respiratory burst capacity compared to neutrophils from FcγRIIIb-HNA1b homozygous donors [27, 28]. In the present study, homozygosity for the FcγRIIIb-HNA1a allotype in the infant was associated with reduced odds of HIV-1 acquisition compared to other allotype combinations. In both mother and infant, carriage of at least one FcγRIIIb-HNA1b allotype was associated with increased odds of HIV-1 acquisition. Since expression of FcγRIIIb is largely restricted to neutrophils, these findings suggest a potential role for neutrophil-mediated FcγR effector functions in modulating perinatal HIV-1 transmission and acquisition. The underlying mechanism may also involve basophils as FcγRIIIb is detected at low levels on a subset of this cell population, although its function here is unknown. To date, only the FcγRIIa-H131R variant has been studied in perinatal HIV-1 transmission, with an association reported between the FcγRIIa-131HH genotype and increased infant susceptibility [29]. This association was however not observed in the present study. The contrasting findings are likely attributable to study design. In the Brouwer et al. study, infants were considered perinatally infected if PCR positive at or before 4 months of age where in the present study infant infection status was determined up to 6 weeks of age. The implication thereof is that the number of infants that acquired HIV-1 through breastfeeding is likely higher in the Brouwer et al. study compared to the 12.8 % in the present study. If this is the case, the findings of the Brouwer et al. study may be more representative of an association with HIV-1 transmission through breastfeeding, rather than in utero or intrapartum transmission. Perinatal HIV-1 transmission is an attractive model in which to study the role of antibodies and their effector functions in HIV-1 protective immunity. This represents a natural situation where the individual at risk is passively immunized with HIV-1-specific antibodies through transplacental transfer of IgG [30, 31]. This model also affords the opportunity to study both members of the transmitting dyad, allowing the assessment of factors contributing to the infectiousness of the transmitter (mother) as well as the susceptibility of the recipient (infant). The findings of this study therefore not only highlight additional immunological factors associated with risk of perinatal HIV-1 transmission, but further support a role for FcγR-mediated effector functions in HIV-1 protective immunity. In particular, findings underscore a potential involvement of neutrophils in protection from HIV-1 transmission and a possible role of FcγR-mediated effector functions in modulating the infectiousness of an HIV-1 infected individual. The significance of these findings in the context of sexual transmission will need to be determined. There are a number of limitations of the current study and areas that require further investigation. Due to the small sample size and number of comparisons performed it is likely that a number of associations are due to chance. However, since the adjustment for multiple comparisons eliminate type I errors at the cost of type 2 errors, we considered it more important to identify potential factors that may play a role in perinatal HIV-1 transmission rather than dismissing these leads as chance variations brought about by multiple comparisons. Nonetheless, when a Bonferroni correction is applied (α = 0.0012), the association with the maternal FcγRIIIa-F158V variant in the in utero-enriched transmitting group remains significant.

Conclusions

The maternal and infant immune mechanisms involved in modulating the risk of perinatal HIV-1 transmission and acquisition are complex and multifactorial. Using the approach of studying FcγR genetic variants as proxy for functional capability, this study has revealed the potential importance of FcγR-mediated immune mechanisms that likely involve FcγRIIIa-bearing immune cells and neutrophils. The findings of this study need to be validated in larger cohorts, in particular associations that did not retain significance following adjustment for multiple comparisons. Moreover, understanding the role of IgG Fc-mediated mechanisms requires an appreciation for the collective contribution of multiple components in addition to FcγR genetic variants. These include factors such as the magnitude and specificity of maternal HIV-1 specific antibodies, the efficiency of antibody transfer across the placenta, immune cell phenotypes at the sites of HIV-1 exposure, and the impact of the overall immune environment and state of activation on maternal and infant immune responses.

Methods

Study populations

All study participants were Black South African individuals. Ethical clearance was obtained from the University of the Witwatersrand Human Research Ethics Committee and the Institutional Review Board of Columbia University. Written informed consent was obtained from all participants.

Cohort HIV-1 infection status

Maternal HIV-1 RNA levels were determined using the Roche Amplicor RNA Monitor assay version 1.5 (Roche Diagnostic Systems, Inc., Branchburg, New Jersey, USA). CD4+ T cell counts were determined using the FACSCount System from Becton–Dickinson (San Jose, CA, USA). Infant samples were tested for HIV-1 DNA using the Roche Amplicor Monitor version 1.5 qualitative PCR assay (Roche Diagnostic Systems).

FCGR gene copy number variability and nucleotide variant detection

Genomic DNA was extracted from EDTA anticoagulated blood samples using the QIAamp DNA Mini Kit (Qiagen, Dusseldorf, Germany). Functional FCGR variants were genotyped using the FCGR-specific multiplex ligation-dependent probe amplification (MLPA) assay (MRC Holland, Amsterdam, The Netherlands) according to manufacturer’s instructions [19, 20]. The assay detects the genomic copy number of the FCGR2C, FCGR3A and FCGR3B genes and known functional allelic variants that include FcγRIIa-H131R; FcγRIIb-I232T, FcγRIIIa-F158V, FcγRIIIb-HNA1a|b|c, FCGR2C expression variants (p.X57Q and c.798+1A>G), and the FCGR2B/C promoter variants (c.-386G>C and c.-120T>A). Genotypes assigned to study participants according to the MLPA assay were confirmed on randomly selected samples with nucleotide sequencing or TaqMan® SNP Genotyping Assays (Thermofisher, Life Technologies, Foster City, USA).

Computational and statistical analysis

Univariate analyses were used to determine the association between FcγR functional variants and perinatal HIV-1 transmission. Multivariate logistic regression was used to adjust for available confounders that were independently significantly associated with HIV-1 transmission i.e. viral load (all groups) and birth weight (in utero transmitting group) (Table 1). Due to high correlation with viral load, CD4 T+ cell count was not included in the multivariate model. The t test was used to compare normally distributed continuous variables and the Fisher’s exact test for categorical data. All analyses were performed in STATA version 10.1 (StataCorp LP, College Station, USA) and a P value of less than 0.05 was considered statistically significant. Adjustment for multiple comparisons was performed using the Bonferroni correction, which considered 42 independent tests—mothers and infants, three unrelated clinical subgroups, and seven loci (FCGR3A gene copy number, FCGR3B gene copy number, FcγRIIa-H131R, FcγRIIb-I232T, FcγRIIIa-F158V, FcγRIIIb-HNA1a|b|c, and overall FcγR variability profiles). LD between pairs of biallelic loci was tested using an expectation–maximization likelihood-ratio test with 16 000 permutations (significance level <0.05) in Arlequin ver 3.5.2.2 [32]. LD coefficients (D′ and r2) were determined in Haploview [33]. Only individuals bearing two copies of each low affinity FCGR gene were considered. LD with FcγRIIIb-HNA1a|b|c was assessed using two loci: rs448740 (p.N65S; as tag-variant) that differentiates HNA1a (p.65 N) from HNA1b|c (p.65S) and rs5030738 (p.A78D) that differentiates HNA1a|b (p.78A) from HNA1c (p.78D).
  33 in total

1.  A novel polymorphism of FcgammaRIIIa (CD16) alters receptor function and predisposes to autoimmune disease.

Authors:  J Wu; J C Edberg; P B Redecha; V Bansal; P M Guyre; K Coleman; J E Salmon; R P Kimberly
Journal:  J Clin Invest       Date:  1997-09-01       Impact factor: 14.808

2.  A national review of vertical HIV transmission.

Authors:  John C Forbes; Ariane M Alimenti; Joel Singer; Jason C Brophy; Ari Bitnun; Lindy M Samson; Deborah M Money; Terry C K Lee; Normand D Lapointe; Stanley E Read
Journal:  AIDS       Date:  2012-03-27       Impact factor: 4.177

3.  Role of neutrophil Fc gamma RIIa (CD32) and Fc gamma RIIIb (CD16) polymorphic forms in phagocytosis of human IgG1- and IgG3-opsonized bacteria and erythrocytes.

Authors:  R G Bredius; C A Fijen; M De Haas; E J Kuijper; R S Weening; J G Van de Winkel; T A Out
Journal:  Immunology       Date:  1994-12       Impact factor: 7.397

4.  Gamma delta T cells in human decidua.

Authors:  R Ditzian-Kadanoff; J Garon; M S Verp; M Zilberstein
Journal:  Am J Obstet Gynecol       Date:  1993-03       Impact factor: 8.661

5.  Phenotypic variation in IgG receptors by nonclassical FCGR2C alleles.

Authors:  Joris van der Heijden; Willemijn B Breunis; Judy Geissler; Martin de Boer; Timo K van den Berg; Taco W Kuijpers
Journal:  J Immunol       Date:  2011-12-23       Impact factor: 5.422

6.  Fc gamma receptor III on human neutrophils. Allelic variants have functionally distinct capacities.

Authors:  J E Salmon; J C Edberg; R P Kimberly
Journal:  J Clin Invest       Date:  1990-04       Impact factor: 14.808

7.  Low rates of mother-to-child transmission of HIV following effective pregnancy interventions in the United Kingdom and Ireland, 2000-2006.

Authors:  Claire L Townsend; Mario Cortina-Borja; Catherine S Peckham; Annemiek de Ruiter; Hermione Lyall; Pat A Tookey
Journal:  AIDS       Date:  2008-05-11       Impact factor: 4.177

8.  Hepatitis C Virus Sensing by Human Trophoblasts Induces Innate Immune Responses and Recruitment of Maternal NK Cells: Potential Implications for Limiting Vertical Transmission.

Authors:  Silvia Giugliano; Margaret G Petroff; Bryce D Warren; Susmita Jasti; Caitlin Linscheid; Ashley Ward; Anita Kramer; Evgenia Dobrinskikh; Melissa A Sheiko; Michael Gale; Lucy Golden-Mason; Virginia D Winn; Hugo R Rosen
Journal:  J Immunol       Date:  2015-09-04       Impact factor: 5.422

9.  Human cytomegalovirus infection elicits new decidual natural killer cell effector functions.

Authors:  Johan Siewiera; Hicham El Costa; Julie Tabiasco; Alain Berrebi; Géraldine Cartron; Philippe Le Bouteiller; Philippe Bouteiller; Nabila Jabrane-Ferrat
Journal:  PLoS Pathog       Date:  2013-04-04       Impact factor: 6.823

10.  Copy number of FCGR3B, which is associated with systemic lupus erythematosus, correlates with protein expression and immune complex uptake.

Authors:  Lisa C Willcocks; Paul A Lyons; Menna R Clatworthy; James I Robinson; Wanling Yang; Stephen A Newland; Vincent Plagnol; Naomi N McGovern; Alison M Condliffe; Edwin R Chilvers; Dwomoa Adu; Elaine C Jolly; Richard Watts; Yu Lung Lau; Ann W Morgan; Gerard Nash; Kenneth G C Smith
Journal:  J Exp Med       Date:  2008-06-16       Impact factor: 14.307

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  8 in total

Review 1.  Antibody Functional Assays as Measures of Fc Receptor-Mediated Immunity to HIV - New Technologies and their Impact on the HIV Vaccine Field.

Authors:  Bruce D Wines; Hugh Billings; Milla R Mclean; Stephen J Kent; P Mark Hogarth
Journal:  Curr HIV Res       Date:  2017       Impact factor: 1.581

Review 2.  Antibody-Dependent Cellular Phagocytosis in Antiviral Immune Responses.

Authors:  Matthew Zirui Tay; Kevin Wiehe; Justin Pollara
Journal:  Front Immunol       Date:  2019-02-28       Impact factor: 7.561

Review 3.  Update on Fc-Mediated Antibody Functions Against HIV-1 Beyond Neutralization.

Authors:  Bin Su; Stefania Dispinseri; Valeria Iannone; Tong Zhang; Hao Wu; Raphael Carapito; Seiamak Bahram; Gabriella Scarlatti; Christiane Moog
Journal:  Front Immunol       Date:  2019-12-18       Impact factor: 7.561

4.  FcγR Genetic Variation and HIV-1 Vaccine Efficacy: Context And Considerations.

Authors:  Ria Lassaunière; Caroline T Tiemessen
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

5.  An HIV Vaccine Protective Allele in FCGR2C Associates With Increased Odds of Perinatal HIV Acquisition.

Authors:  Joy Ebonwu; Ria Lassaunière; Maria Paximadis; Mark Goosen; Renate Strehlau; Glenda E Gray; Louise Kuhn; Caroline T Tiemessen
Journal:  Front Immunol       Date:  2021-11-30       Impact factor: 7.561

6.  FCGR3A gene duplication, FcγRIIb-232TT and FcγRIIIb-HNA1a associate with an increased risk of vertical acquisition of HIV-1.

Authors:  Joy Ebonwu; Ria Lassaunière; Maria Paximadis; Renate Strehlau; Glenda E Gray; Louise Kuhn; Caroline T Tiemessen
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

7.  Neutralization and beyond: Antibodies and HIV-1 acquisition.

Authors:  Allison S Thomas; Melissa Ghulam-Smith; Manish Sagar
Journal:  Curr Top Virol       Date:  2018

8.  Fully Human Immunoglobulin G From Transchromosomic Bovines Treats Nonhuman Primates Infected With Ebola Virus Makona Isolate.

Authors:  Thomas Luke; Richard S Bennett; Dawn M Gerhardt; Tracey Burdette; Elena Postnikova; Steven Mazur; Anna N Honko; Nicholas Oberlander; Russell Byrum; Dan Ragland; Marisa St Claire; Krisztina B Janosko; Gale Smith; Gregory Glenn; Jay Hooper; John Dye; Subhamoy Pal; Kimberly A Bishop-Lilly; Theron Hamilton; Kenneth Frey; Laura Bollinger; Jiro Wada; Hua Wu; Jin-An Jiao; Gene G Olinger; Bronwyn Gunn; Galit Alter; Surender Khurana; Lisa E Hensley; Eddie Sullivan; Peter B Jahrling
Journal:  J Infect Dis       Date:  2018-11-22       Impact factor: 5.226

  8 in total

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