Literature DB >> 36084039

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

Joy Ebonwu1,2, Ria Lassaunière3, Maria Paximadis2,4, Renate Strehlau5,6, Glenda E Gray7,8, Louise Kuhn9, Caroline T Tiemessen2,4.   

Abstract

BACKGROUND: Some mother-to-child transmission (MTCT) studies suggest that allelic variations of Fc gamma receptors (FcγR) play a role in infant HIV-1 acquisition, but findings are inconsistent. To address the limitations of previous studies, the present study investigates the association between perinatal HIV-1 transmission and FcγR variability in three cohorts of South African infants born to women living with HIV-1.
METHODS: This nested case-control study combines FCGR genotypic data from three perinatal cohorts at two hospitals in Johannesburg, South Africa. Children with perinatally-acquired HIV-1 (cases, n = 395) were compared to HIV-1-exposed uninfected children (controls, n = 312). All study participants were black South Africans and received nevirapine for prevention of MTCT. Functional variants were genotyped using a multiplex ligation-dependent probe amplification assay, and their representation compared between groups using logistic regression analyses.
RESULTS: FCGR3A gene duplication associated with HIV-1 acquisition (OR = 10.27; 95% CI 2.00-52.65; P = 0.005) as did the FcγRIIb-232TT genotype even after adjusting for FCGR3A copy number and FCGR3B genotype (AOR = 1.72; 95%CI 1.07-2.76; P = 0.024). The association between FcγRIIb-232TT genotype and HIV-1 acquisition was further strengthened (AOR = 2.28; 95%CI 1.11-4.69; P = 0.024) if adjusted separately for FCGR2C c.134-96C>T. Homozygous FcγRIIIb-HNA1a did not significantly associate with HIV-1 acquisition in a univariate model (OR = 1.42; 95%CI 0.94-2.16; P = 0.098) but attained significance after adjustment for FCGR3A copy number and FCGR2B genotype (AOR = 1.55; 95%CI 1.01-2.38; P = 0.044). Both FcγRIIb-232TT (AOR = 1.83; 95%CI 1.13-2.97; P = 0.014) and homozygous FcγRIIIb-HNA1a (AOR = 1.66; 95%CI 1.07-2.57; P = 0.025) retained significance when birthweight and breastfeeding were added to the model. The common FCGR2A and FCGR3A polymorphisms did not associate with HIV-1 acquisition.
CONCLUSIONS: Collectively, our findings suggest that the FcγRIIb-232TT genotype exerts a controlling influence on infant susceptibility to HIV-1 infection. We also show a role for less studied variants-FCGR3A duplication and homozygous HNA1a. These findings provide additional insight into a role for FcγRs in HIV-1 infection in children.

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Year:  2022        PMID: 36084039      PMCID: PMC9462732          DOI: 10.1371/journal.pone.0273933

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

Antibody crystallisable fragment (Fc) gamma receptors (FcγRs) are hematopoietic cell surface glycoproteins that bind the Fc region of immunoglobulin G (IgG) antibodies, linking both humoral and cellular branches of immunity. Cross-linking of FcγRs on the cell surface initiates and regulates immune mechanisms that include antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), antibody production, B-cell activation, antigen presentation, and cytokine production [1-4]. Cumulative data have highlighted the role of Fc-mediated effector functions in human immunodeficiency virus 1 (HIV-1) acquisition and post-infection control of viremia [2, 5–13]. Generally, FcγRs are divided into three classes (FcγRI, FcγRII, and FcγRIII), each with different isoforms and encoded by different genes. The classes differ in structural domain organisation, affinity for specific IgG subclasses and ability to trigger activating or inhibitory signals [14, 15]. While FcγRI binds monomeric IgG with high affinity, both FcγRII and FcγRIII bind to IgG complexes through multivalent and low affinity interactions [16]. The low affinity FcγRs located on chromosome 1q23 (FcγRIIa, FcγRIIb, FcγRIIc, FcγRIIIa and FcγRIIIb) are encoded by FCGR2A, FCGR2B, FCGR2C, FCGR3A and FCGR3B genes, respectively [15] and they play different roles in regulating immune responses [4]. Functionally-relevant genetic variants, including single nucleotide polymorphisms (SNPs) and copy number variation (CNV), have been characterized in low-affinity receptors and associated with different diseases [10, 12, 15, 17–22]. Generally, CNV is considered an important factor of inter-individual differences and to date, CNV has been demonstrated for only FCGR2C, FCGR3A and FCGR3B [23, 24]. Variation in copy number of FCGR3A correlates with FcγRIIIa surface expression levels on natural killer (NK) cells, a key mediator of ADCC [23]. Similarly, CNV of FCGR3B directly correlates with protein expression and uptake of immune complexes by neutrophils [25]. Functionally-significant amino acid changes have been reported for FcγRIIa, FcγRIIb, FcγRIIIa and FcγRIIIb that affect either their binding affinity for IgG or receptor function. An arginine (R) to histidine (H) substitution at amino acid position 166 of FcγRIIa (position 131 in the mature protein), alters the receptor’s affinity of IgG and its subclasses. In FcγRIIb, an isoleucine (I) to threonine (T) substitution at position 232 in the full protein reduces its inhibitory function on B cells [15]. A polymorphism in FcγRIIIa results in a substitution of valine (V) to phenylalanine (F) at amino acid position 176 (position 158 in the mature protein) that alters the receptor’s affinity for IgG and its subclasses [15, 26]. Conversely, a combination of five amino acid changes in FcγRIIIb give rise to the human neutrophil antigen 1 (HNA1) variants, HNA1a, HNA1b and HNA1c. Neutrophils from HNA1a homozygous individuals display greater phagocytic capacity compared to HNA1b homozygous individuals [27]. Accumulating evidence from mother-to-child transmission (MTCT) studies suggests that allelic variations of FcγR play a role in infant HIV-1 acquisition, but the observed results are inconsistent [11, 12, 28]. Specifically, Brouwer et al. reported a positive association between the FcγRIIa 166HH genotype and perinatal HIV-1 acquisition in a cohort of infants in Kenya [11] that was not observed in subsequent separate studies in Kenya and South Africa [12, 28]. The functional consequence for FcγR variants beyond FcγRIIa-H166R and FcγRIIIa-F176V during HIV-1 infection and acquisition in vivo has not been largely investigated. Further studies are therefore needed to elucidate the definitive role of FCGR genotypes on MTCT of HIV-1. The potential role of FcγR-mediated effector functions in modulating perinatal HIV-1 transmission and acquisition was investigated for the first time in South Africa, using FcγR variants as proxy for functional capacity [12]. The study differed from the those conducted in Kenya [11, 28] in that it investigated variation at multiple loci and gene copy number variation in the FCGR locus. The population differences within Africa warrants that genetic association studies are done for specific populations. The study found the maternal FcγRIIIa-158V allele, which confers enhanced antibody binding affinity and ADCC capacity, to be significantly associated with reduced HIV-1 transmission. In both mother and infant, having an FcγRIIIb-HNA1b allotype (that reduces neutrophil-mediated effector functions) was associated with increased HIV-1 transmission and acquisition, respectively. On the other hand, homozygosity for the FcγRIIIb-HNA1a allotype in the infant was protective of perinatal HIV acquisition. Since FcγRIIIb is largely expressed in neutrophils, the study findings were suggestive of a potential role for neutrophils in modulating perinatal HIV-1 transmission and acquisition. However, a relatively small number of HIV-1 infected infants (n = 78) were genotyped. This study further interrogates the role of FcγR-mediated effector functions in modulating perinatal HIV-1 acquisition, using a much larger cohort. As we strive towards the goal of elimination of vertical HIV-1 transmission, more studies are required to elucidate natural mechanisms of protection in order to identify novel targets for preventative and therapeutic interventions.

Materials and methods

Ethics approval for the study was obtained from the University of the Witwatersrand Human Research Ethics Committee (Reference numbers: M170585; M180575). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Study design and population

A nested case-control study was carried out to assess the association between low affinity FCGR variability and HIV-1 perinatal acquisition in children, combining data from past studies of three perinatal cohorts at two hospitals in Johannesburg, South Africa [29-32]. The HIV-1-infected cohort (cases) consists of 546 children who were recruited as part of two sequential randomized clinical trials (NEVEREST 2 and 3) [29-31]. The remaining two cohorts comprised of 566 HIV-1-exposed uninfected children (controls) [32]. For this study, only available samples with sufficient material were genotyped. FCGR genotypic data from 395 HIV-1-infected children were compared with 312 of the HIV-1-exposed uninfected children. All study participants were black South Africans and received nevirapine for prevention of MTCT. The receipt of nevirapine at birth, known to significantly reduce intrapartum transmission [32-34], suggests that most of the infants were likely infected in utero. Maternal antiretroviral therapy was not routinely used at the time. The available demographic and perinatal variables included for both cases and controls are sex, birthweight, breastfeeding status and gestation (term or pre-term).

Genotyping

Functional FCGR variants were genotyped using the FCGR-specific multiplex ligation-dependent probe amplification assay (MRC Holland, Amsterdam, The Netherlands) according to manufacturer’s instructions [18, 35]. In two reactions, the assay detects genomic copy number of FCGR2C, FCGR3A and FCGR3B, as well as functional allelic variants: FcγRIIa-H166R (alias H131R), FcγRIIb-I232T, FcγRIIIa-V176F (alias V158F) and FcγRIIIb-HNA1a/b/c. Furthermore, the assay detects FCGR2C SNPs that affect gene expression– c.169T>C (p.X57Q), c.798+1A>G, and the FCGR2B/C promoter variant at position c.−386G>C and c.−120A>T. Amplicons were separated by capillary electrophoresis on an ABI Genetic Analyser 3130 (Life Technologies, Applied Bio systems, Foster City, CA, USA) and fragments analysed with the Coffalyzer.NET software (MRC Holland) using peak height as a measure of gene/allele copy number. In this study, we did not distinguish FCGR2B and FCGR2C promoter sequences since earlier findings indicate that African individuals do not possess the promoter variant in FCGR2B, and thus any detected c.−386G>C minor alleles would be in FCGR2C (37). The SNP nomenclature used in this manuscript refers to positions in accordance with the Human Genome Variation Society (HGVS) guidelines [36]. The numbering of nucleotides is relative to the Genome Reference Consortium Human Reference 38 [GRCh38 (hg38)].

Statistical analysis

Categorical data were presented as absolute numbers and percentages. The Chi-squared and Fisher Exact tests (where appropriate) were used for comparisons between children with HIV-1-infection and children who were HIV-1-exposed uninfected. Univariate and multivariate logistic regression analyses were conducted to determine the association between functional FCGR variants and perinatal HIV-1 acquisition. Each FCGR3B genotype is defined as the combination of FcγRIIIb-HNA1a/b/c allotypes present or absent irrespective of gene copy number. Genotype reference groups for the di-allelic FcγRIIa-H166R, FcγRIIb-I232T, and FcγRIIIa-V176F variants were homozygosity for the major allele, while the genotype reference group for the multi-allelic FcγRIIIb-HNA1a/b/c were selected based on prevalence. A P value < 0.05 in the multivariate analysis was regarded as statistically significant and 95% confidence intervals (CI) were used to estimate precision. Adjustment for multiple comparisons was performed using the Bonferroni correction, which considered six independent tests for the different variants—FCGR3A copy number, FCGR3B copy number, FcγRIIa-H166R, FcγRIIb-I232T, FcγRIIIa-V176F and FcγRIIIb-HNA1a/b/c. Both unadjusted and adjusted P values are reported. All analyses were performed in STATA version 15.1 (StataCorp LP, Texas, USA). Linkage disequilibrium (LD) between functional FCGR variants was assessed using the Haploview software package [37] and expressed as D prime (D′) and square of the correlation coefficient (r2). The closer D′ is to 1 the stronger the LD between two loci. We assessed LD for FcγRIIIb-HNA1a/b/c allotype using tag SNP p.N65S (amino acid change from asparagine to serine at position 65) that differentiates HNA1a (P.65N) from HNA1b|c (p.65S), and the SNP that differentiates HNA1b from HNA1c, resulting in aspartic acid replacing alanine at amino acid position 78 (p.A78D). Genotypic data with multiple gene copies were considered homozygous if all copies carried the same allele or heterozygous when both alleles were present. Hardy-Weinberg equilibrium was considered for individuals with two gene copies and the statistics abstracted from the Haploview analysis output.

Results

Study population characteristics

There were no significant differences in sex and gestation between the 395 HIV-1 infected (cases) and 312 HIV-1-exposed uninfected (controls) included in this analysis. However, a higher proportion of HIV-infected children had a low birth weight (<2500g; P <0.001) and were breastfed (P <0.001) than controls (Table 1).
Table 1

Characteristics of perinatal HIV-1 acquisition in our study cohort.

CharacteristicsHIV-1-exposed uninfectedHIV-1 infectedP value
n = 312n = 395
Sex0.661
 Male160 (51)196 (49.6)
 Female152 (49)199 (50.4)
Gestation(n = 312)(n = 389)0.180
 Term282 (90)339 (87)
 Preterm (<37 weeks)30 (10)50 (13)
Birth weight (g)(n = 312)(n = 375) <0.001
 ≥ 2500282 (90)295 (79)
 < 250030 (10)80 (21)
Breastfed(n = 311)(n = 388) <0.001
 No289 (93)297 (77)
 Yes22 (7)91 (23)

Data are expressed as n (%).

Total numbers analyzed for each variable are indicated.

Bold indicates statistical significance of P < 0.05.

Data are expressed as n (%). Total numbers analyzed for each variable are indicated. Bold indicates statistical significance of P < 0.05.

Distribution of FCGR copy number variation and HIV-1 acquisition

Genes are deleted or duplicated at the FCGR2/3 locus within previously defined copy number variable regions (CNRs) [38-40]. Fig 1 shows the SNPs genotyped (A) and the 4 distinct patterns of CNV in the present South African cohort: FCGR2C/FCGR3B, FCGR2C/FCGR3A, FCGR2C/FCGR3A/FCGR3B and FCGR3A only (Fig 1B). The most common variation was observed for the combined duplication/deletion of complete FCGR2C and FCGR3B (29.6%; 209/707), equivalent to CNR1 as described by Niederer et al. [38]. Within CNR1, one or more copies were deleted in 61/209 individuals (29%) and duplicated in 148/209 individuals (71%). Thus, in the total group of 707 South African children, 8.6% carried a CNR1 deletion and 20.9% a CNR1 duplication. We observed low variation within CNR2, which encompasses the complete FCGR3A and exons 1 to 6 of FCGR2C (1.7%; 12/707; 4 deletions and 8 duplications). In seven (1%) individuals, CNV in FCGR2C, FCGR3A and FCGR3B was observed simultaneously, with one deletion and six duplications. Deletion or duplication of FCGR3A alone was noted in 16 individuals (2.3%), 11 with a gene deletion and 5 with a gene duplication (Fig 1C).
Fig 1

Diagrammatic representation of the FCGR2/3 locus structure and variation.

(A) The FCGR2 and FCGR3 genes on human chromosome 1q23 with their orientation and the functional polymorphisms genotyped in the study. Polymorphic amino acids are indicated by one-letter code. (B) CNV has been previously described within distinct copy number variable regions (CNRs) [38, 39]. Four gene combinations of CNV, either duplication or deletion, were observed and are indicated as solid lines. The FCGR2C/FCGR3B and FCGR2C/FCGR3A combinations correspond to the previously designated CNR1 and CNR2, respectively. (C) Copy number region deletions and duplications within CNR1 and CNR2. This displays further breakdown of individuals with either a deletion or duplication within the 4 distinct gene combinations of CNV.

Diagrammatic representation of the FCGR2/3 locus structure and variation.

(A) The FCGR2 and FCGR3 genes on human chromosome 1q23 with their orientation and the functional polymorphisms genotyped in the study. Polymorphic amino acids are indicated by one-letter code. (B) CNV has been previously described within distinct copy number variable regions (CNRs) [38, 39]. Four gene combinations of CNV, either duplication or deletion, were observed and are indicated as solid lines. The FCGR2C/FCGR3B and FCGR2C/FCGR3A combinations correspond to the previously designated CNR1 and CNR2, respectively. (C) Copy number region deletions and duplications within CNR1 and CNR2. This displays further breakdown of individuals with either a deletion or duplication within the 4 distinct gene combinations of CNV. Copy number variation in FCGR2C and FCGR3B were separately observed in 233/707 (33%) and 219/707 (31%) children, respectively, and did not associate with HIV-1 acquisition (P > 0.05; Table 2). Complete absence of FCGR2C and FCGR3B was observed in one HIV-1 infected child. FCGR3A showed low frequency in copy number variation in 33/707 (4.7%) individuals, with 16 (2.3%) carrying a single gene copy and 17 (2.4%) having three gene copies. No individual with complete absence of FCGR3A was observed. A significant difference in FCGR3A copy number distribution was observed between the HIV-1 infected and exposed-uninfected children. Using one FCGR3A copy as reference, gene duplication was independently associated with increased odds of HIV-1 acquisition (OR = 10.27; 95% CI 2.00–52.65; P = 0.005, PBonf = 0.03; Table 2).
Table 2

Associations of FCGR variants with perinatal HIV-1 acquisition.

VariantsHIV-1-exposed uninfectedHIV-1 infectedOR (95% CI)P value
n = 312n = 395
FCGR2C copy number
≤ 1 copy31 (10)37 (9)Ref
2 copies209 (67)265 (67)1.06 (0.64–1.77)0.816
≥ 3 copies72 (23)93 (24)1.08 (0.61–1.91)0.785
FCGR3A copy number
1 copy11 (3.5)5 (1.3)Ref
2 copies298 (95.5)378 (95.2)2.78 (0.95–8.08)0.061
3 copies3 (1.0)14 (3.5)10.27 (2.00–52.65)0.005 (PBonf = 0.03)
FCGR3B copy number
≤ 1 copy28 (9)35 (9)Ref
2 copies217 (70)271 (69)0.99 (0.59–1.69)0.997
≥ 3 copies67 (21)89 (22)1.06 (0.59–1.92)0.840
FCGR2A genotype
166HH65 (20.8)86 (21.8)Ref
166HR154 (49.4)187 (47.3)0.92 (0.62–1.35)0.663
166RR93 (29.8)122 (30.9)0.99 (0.65–1.51)0.968
Allele carriage
≥ 1 166H allele219 (70)273 (70)0.95 (0.69–1.31)0.757
≥ 1 166R allele247 (79)309 (78)0.95 (0.66–1.36)0.762
FCGR2B genotype
232II147 (47)165 (41.8)Ref
232IT126 (40)160 (40.5)1.13 (0.82–1.56)0.453
232TT39 (13)70 (17.7)1.60 (1.02–2.51)0.041 (PBonf = 0.246)
Allele carriage
≥ 1 232I allele273 (88)325 (82)0.66 (0.43–1.01)0.057
≥ 1 232T allele165 (53)230 (58)1.24 (0.92–1.67)0.156
FCGR3A genotype
176FF134 (43)155 (39)Ref
176FV135 (43)176 (45)1.13 (0.82–1.56)0.467
176VV43 (14)64 (16)1.29 (0.82–2.02)0.273
Allele carriage
≥ 1 176F allele269 (86)331 (84)0.83 (0.54–1.26)0.373
≥ 1 176V allele178 (57)240 (61)1.17 (0.86–1.58)0.319
FCGR3B genotype
HNA1a+/1b+/1c-101 (32)116 (29.37)Ref
HNA1a+/1b+/1c+13 (4)16 (4.05)1.07 (0.49–2.34)0.862
HNA1a+/1b−/1c+44 (14)61 (15.44)1.21 (0.75–1.93)0.433
HNA1a+/1b-/1c-60 (19)98 (24.81)1.42 (0.94–2.16)0.098
HNA1a-/1b+/1c+43 (14)50 (12.66)1.01 (0.62–1.65)0.960
HNA1a-/1b+/1c-28 (9)38 (9.62)1.18 (0.68–2.06)0.556
HNA1a-/1b-/1c+23 (7)15 (3.80)0.57 (0.28–1.15)0.115
HNA1a-/1b-/1c-0 (0)1 (0.25)--
Allele carriage
≥1 HNA1a allotype218 (70)290 (73)1.19 (0.86–1.66)0.298
≥1 HNA1b allotype185 (59)221 (56)0.87 (0.65–1.18)0.372
≥1 HNA1c allotype123 (39)141 (36)0.85 (0.63–1.16)0.309

Data are expressed as n (%).

OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value.

Bold indicates statistical significance of P < 0.05.

Data are expressed as n (%). OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value. Bold indicates statistical significance of P < 0.05.

FCGR2A and FCGR3A genotypes did not associate with perinatal HIV-1 acquisition

For the FcγRIIa-H166R genotype, 341 (48.2%) children were heterozygous (FcγRIIa-166HR), 151 (21.4%) were homozygous for the higher affinity IgG binding allele (FcγRIIa-166HH) and 215 (30.4%) homozygous for FcγRIIa-166RR. The genotype distributions of the FCGR3A were 311 (44%) for FcγRIIIa-176FV heterozygotes, 289 (41%) for FcγRIIIa-176FF, and 107 (15%) for FcγRIIIa-176VV. The FcγRIIa and FcγRIIIa genotype distributions observed in this study are similar to previous findings [12, 41]. FcγRIIa-H166R and FcγRIIIa-V176F genotype and allele carriage frequencies did not differ significantly between the HIV-1 infected and uninfected cohort (Table 2). Neither genotypes significantly associated with HIV-1 acquisition in the univariate or multivariate analyses (P > 0.05 for all comparisons).

Associations between FCGR2B and FCGR3B genotypes and perinatal HIV-1 acquisition

The FcγRIIb-232II was the most prevalent FCGR2B genotype (44.1%; n = 312), followed by 232IT (40.5%; n = 286) and 232TT (15.4%; n = 109). Homozygosity for the FcγRIIb-232T allele was overrepresented in the HIV-1-infected children compared to the exposed-uninfected children (17.7% vs. 13%; Table 2). Compared to the FcγRIIb-232II genotype, the FcγRIIb-232TT genotype significantly associated with increased odds of HIV-1 acquisition in univariate analysis (OR = 1.60; 95% CI 1.02–2.51; P = 0.041, PBonf > 0.05). At the FCGR3B locus, HNA1a was the dominant allotype (72%; n = 508), followed by HNA1b (57%; n = 406) and HNA1c (37%; n = 264). We observed an overrepresentation of homozygous FcγRIIIb-HNA1a allotype in HIV-1-infected children compared to the exposed-uninfected (24.81% vs. 19%) but it did not independently associate with HIV-1 acquisition (OR = 1.42; 95% CI 0.94–2.16; P = 0.098, PBonf > 0.05; Table 2). The association with homozygous FcγRIIIb-HNA1a attained significance after further assessment in a multivariate model that controlled for FCGR3A copy number and FCGR2B genotype, which were independently associated with HIV-1 acquisition (AOR = 1.55; 95% CI 1.01–2.38; P = 0.044, PBonf > 0.05). Both FCGR3A copy number (AOR = 10.68; 95% CI 2.04–55.86; P = 0.005, PBonf = 0.03) and FCGR2B genotype (AOR = 1.72; 95% CI 1.07–2.76; P = 0.024, PBonf > 0.05) remained significant (Table 3). The strength of association for FCGR2B genotype increased (AOR = 2.28; 95% CI 1.11–4.69; P = 0.024, PBonf > 0.05) when adjusted for FCGR2C c.134-96C>T that associated with HIV-1 acquisition in our previous study [42]. We further explored the associations in a subset of the study cohort that excluded breastfed infants (91 HIV-1 infected and 22 HIV-1 exposed-uninfected; nested total n = 586) and controlled for birthweight. The FcγRIIb-232TT genotype (AOR = 1.83; 95% CI 1.13–2.97; P = 0.014, PBonf > 0.05), homozygous FcγRIIIb-HNA1a allotype (AOR = 1.66; 95% CI 1.07–2.57; P = 0.025, PBonf > 0.05) and FCGR3A copy number (AOR = 8.58; 95% CI 1.60–45.92; P = 0.012, PBonf > 0.05) retained significance (Table 4).
Table 3

Multivariate analysis of the effect of FCGR3A copy number, FCGR2B and FCGR3B variants on perinatal HIV-1 acquisition.

VariantsAdjusted OR (95% CI)*P value
FCGR3A copy number
 1 copyRef
 2 copies2.81 (0.94–8.36)0.064
 3 copies10.68 (2.04–55.86)0.005 (PBonf = 0.03)
FCGR2B genotype
 232IIRef
 232IT1.20 (0.86–1.67)0.295
 232TT1.72 (1.07–2.76)0.024 (PBonf = 0.144)
FCGR3B genotype
 HNA1a+/1b+/1c-Ref
 HNA1a+/1b+/1c+1.18 (0.54–2.60)0.674
 HNA1a+/1b−/1c+1.27 (0.78–2.05)0.333
 HNA1a+/1b-/1c-1.55 (1.01–2.38)0.044 (PBonf = 0.264)
 HNA1a-/1b+/1c+1.02 (0.63–1.68)0.917
 HNA1a-/1b+/1c-1.10 (0.63–1.95)0.734
 HNA1a-/1b-/1c+0.64 (0.31–1.32)0.228

OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value.

Bold indicates statistical significance of P < 0.05.

* Multivariate model controlled for FCGR3A copy number, FCGR2B and FCGR3B variants.

Table 4

Associations of FCGR variants with perinatal HIV-1 acquisition in non-breastfed children after adjusting for birthweight.

VariantsHIV-1-exposed uninfectedHIV-1 infectedUnivariateMultivariate*
OR (95% CI)P valueAdjusted ORP value
(95% CI)
n = 289n = 297
FCGR3A copy number
 1 copy11 (3.5)5 (1.3)RefRef
 2 copies298 (95.5)378 (95.2)2.78 (0.95–8.08)0.0612.49 (0.82–7.54)0.107
 3 copies3 (1.0)14 (3.5)10.27 (2.00–52.65)0.005 (PBonf = 0.03)8.58 (1.60–45.92)0.012 (PBonf = 0.072)
FCGR2B genotype
 232II140 (48.4)123 (41.4)RefRef
 232IT113 (39.1)122 (41.1)1.13 (0.82–1.56)0.4531.27 (0.90–1.80)0.171
 232TT36 (12.5)52 (17.5)1.60 (1.02–2.51)0.041 (PBonf = 0.246)1.83 (1.13–2.97)0.014 (PBonf = 0.084)
FCGR3B genotype
 HNA1a+/1b+/1c-94 (32.53)90 (30.30)RefRef
 HNA1a+/1b+/1c+11 (3.81)12 (4.38)1.07 (0.49–2.34)0.8621.27 (0.56–2.84)0.568
 HNA1a+/1b−/1c+42 (14.53)40 (13.47)1.21 (0.75–1.93)0.4331.32 (0.80–2.15)0.275
 HNA1a+/1b-/1c-57 (19.72)76 (25.59)1.42 (0.94–2.16)0.0981.66 (1.07–2.57)0.025 (PBonf = 0.15)
 HNA1a-/1b+/1c+37 (12.8)41 (13.8)1.01 (0.62–1.65)0.9601.12 (0.59–1.63)0.937
 HNA1a-/1b+/1c-26 (9)26 (8.75)1.18 (0.68–2.06)0.5560.95 (0.63–2.02)0.676
 HNA1a-/1b-/1c+22 (7)10 (3.37)0.57 (0.28–1.15)0.1150.55 (0.30–1.32)0.217
 HNA1a-/1b-/1c-0 (0)1 (0.34)--

OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value.

Bold indicates statistical significance of P < 0.05.

* The multivariate analysis adjusted for all 3 genetic parameters (FCGR3A copy number, FCGR2B and FCGR3B genotypes) simultaneously plus birthweight.

OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value. Bold indicates statistical significance of P < 0.05. * Multivariate model controlled for FCGR3A copy number, FCGR2B and FCGR3B variants. OR, Odds Ratio; CI, Confidence Interval; PBonf, Bonferroni corrected P value. Bold indicates statistical significance of P < 0.05. * The multivariate analysis adjusted for all 3 genetic parameters (FCGR3A copy number, FCGR2B and FCGR3B genotypes) simultaneously plus birthweight.

Linkage disequilibrium of functionally relevant variants in the FCGR2/3 locus

The functionally-relevant variants in the FCGR2/3 locus have been reported to be in strong linkage disequilibrium due to physical proximity of the genes on chromosome 1q23 [43-45]. The observed genotype frequencies for FcγRIIa-H1166R, FcγRIIIa-V176F and FcγRIIIb-HNA1a/b/c were in Hardy-Weinberg equilibrium (P > 0.05) but those for FcγRIIb-I232T were not (P = 0.018). We assessed linkage disequilibrium between FCGR2A, FCGR2B, FCGR3A and FCGR3B variants, with and without considering the CNV, to determine whether the observed associations with independent FCGR variants are linked due to coinheritance of alleles at different loci. All participants were included irrespective of copy number; those with 3 or more copies were considered heterozygous if both alleles were present and homozygous if all copies carried the same allele. We found the FcγRIIIb-HNA1a/b/c haplotype in complete LD as expected (D′ = 1.0; r2 = 0.243). The FcγRIIb-I232T was in weak LD with FcγRIIIb-HNA1a/b (D′ = 0.254; r2 = 0.032) and FcγRIIIa-V176F (D′ = 0.486; r2 = 0.077). Similarly, weak LD was observed between FcγRIIa-H166R and FcγRIIIa-V176F (D′ = 0.280; r2 = 0.052), and the FcγRIIIb-HNA1c allotype (D′ = 0.297; r2 = 0.02). When only those with two gene copies were included, the observed LD pattern remained the same (Fig 2). Multivariate analysis was used to test allelic association for each variant that had some LD. The observed association remained significant for FcγRIIb-I232T (AOR = 1.69; 95% CI 1.06–2.70; P = 0.028, PBonf > 0.05) while FcγRIIIb-HNA1a did not (AOR = 1.50; 95% CI 0.98–2.30; P = 0.060) and remained not significant for FcγRIIa-H166R and FcγRIIIa-V176F.
Fig 2

Linkage disequilibrium of functional FCGR variants in South African children born to women living with HIV-1.

(A) All individuals, with or without CNV (n = 707); (B) only individuals with two gene copies (n = 474). The black triangle illustrates a haplotype block. Values reflect D′ measures of LD and colour in the squares given by standard D′ divided by log of the odds of LD between two loci (LOD). Bright red colour indicates very strong LD.

Linkage disequilibrium of functional FCGR variants in South African children born to women living with HIV-1.

(A) All individuals, with or without CNV (n = 707); (B) only individuals with two gene copies (n = 474). The black triangle illustrates a haplotype block. Values reflect D′ measures of LD and colour in the squares given by standard D′ divided by log of the odds of LD between two loci (LOD). Bright red colour indicates very strong LD.

Discussion

The human FCGR2/3 locus comprise activating and inhibitory receptors that are highly polymorphic (including SNPs and CNV), with functional implications. Whilst the role of some of the genetic variants are not well understood, the functional and clinical relevance of others in the pathogenesis of autoimmune and infectious diseases has been well documented [17, 18, 25, 45–47]. Furthermore, functional FCGR polymorphisms have been investigated in the context of HIV-1 acquisition [11, 12, 28, 42], disease progression [10, 20, 48, 49] and response to vaccination regimens [21, 22, 48] with inconsistent findings. In this study, we report further associations between the functional FCGR polymorphisms and HIV-1 acquisition in black South African children born to women living with HIV. The analysis excluded an association with FCGR2C variants, which was separately assessed by the authors in another study [42]. In that study, the FCGR2C c.134-96C>T tag variant produced a deleterious association in perinatal HIV-1 acquisition in contrast to the observed protective effect in the Thai RV144 vaccine trial [21]. The potential role of FcγR variants in modulating perinatal HIV-1 transmission and acquisition in South Africa was initially investigated by Lassaunière et al. [12], albeit in a small sample cohort. This present study used a larger cohort to validate the previously observed findings and determine if new FcγR variants associated with perinatal HIV-1 acquisition that may have been confounded by the earlier smaller sample size. The present study adds to a limited number of studies investigating the association between FCGR polymorphisms and HIV-1 acquisition in the maternal-infant HIV-1 transmission model. Whereas previous studies in Kenyan [11, 28] and South African [12] cohorts used data from mother-infant pairs, only infant data was available for our study cohort. We did not observe an association between the common FCGR2A and FCGR3A polymorphisms and HIV-1 acquisition. This is in line with findings from independent Kenyan [28] and South African [12] cohorts, as well as a large genome-wide association study of adults [50], but contrasts the increased acquisition risk associated with FcγRIIa-166HH genotype reported in another Kenyan cohort [11]. Cohort differences, study design and statistical rigor employed have been suggested as possible reasons for the observed variable results [28, 50]. Other FcγR variants beyond FcγRIIa-H166R and FcγRIIIa-V176F, which include FcγRIIb-I232T, FcγRIIIb-HNA1a/b/c, and gene copy number are rarely studied in the context of HIV-1, in particular MTCT. Our earlier study [12] included FcγRIIb-I232T, and found that possession of at least one 232I allele was protective against in utero infection. Since this current study comprises a completely different cohort and are presumed to be predominantly in utero infected infants (since all received nevirapine at birth that reduces intrapartum transmission), our results on this larger cohort confirm those reported previously. Here we show that homozygosity for the FcγRIIb-232T minor allele associated with increased odds of perinatal acquisition of HIV-1. These findings suggest that the FcγRIIb-232TT genotype exerts a controlling influence on infant susceptibility to HIV-1 infection. FcγRIIb transmits signals via an immunoreceptor tyrosine-based inhibitory motif (ITIM) in its cytoplasmic tail. The FcγRIIb-232T polymorphism affects the receptor’s ability to translocate to lipid rafts, disrupting the inhibitory function of FcγRIIb, leading to a potentially higher activation state of cells [51, 52]. The FCGR2B/C promoter variants at position c.−386G>C and c.−120A>T also influence FcγRIIb expression but such an effect would not play a role in our cohort because African individuals do not possess the promoter variant in FCGR2B [43]. The FcγRIIb-232T and FcγRIIIb-HNA1a alleles are subject to ethnic variation, both being more prevalent in black compared to white South Africans [FcγRIIb-232T (30.9% vs. 10.9%; FcγRIIIb-HNA1a (50.6% vs. 36.2%)] [43]. The observed genotype frequencies for FcγRIIb-I232T were not in Hardy-Weinberg equilibrium possibly because of selection pressure from potent endemic infections in Africa, such as malaria [47]. Significant selection pressure is a likely driver of retention of the FcγRIIb-232T allele that produced a deleterious effect on susceptibility of HIV-1 infection in South African children. Gene CNV not only contributes to differences in expression levels but also alters the cellular distribution of FcγRs in response to activation by IgG complexes [53]. Variation in copy number of FCGR3A has been shown to correlate with FcγRIIIa surface expression and function of NK cells [23]. In the present study, duplication or deletion of FCGR3A occurred either alone, in combination with FCGR2C or simultaneously with both FCGR2C and FCGR3B and significantly associated with HIV-1 acquisition. Specifically, we observed a trend towards an association of FCGR3A duplications but due to the low frequency of FCGR3A duplication, further studies of larger sample size are needed. We also observed 8.6% of the South African children carried a CNR1 deletion, which leads to the formation of FCGR2C/2B chimeric genes. This results in unusual expression of inhibitory FcγRIIb on NK cells and subsequently, reduced ADCC activity [24]. Although, this genotype did not associate with HIV-1 acquisition. The FcγRIIIb is a glycosylphosphatidylinositol (GPI)-anchored protein, expressed largely on neutrophils [1]. Neutrophils from homozygous HNA1a individuals display higher affinity for IgG1 and IgG3 and greater phagocytic capacity than homozygous HNA1b individuals [27]. We observed an association between FcγRIIIb-HNA1a/b/c allotype and perinatally acquired HIV-1 infection. Specifically, homozygosity for the FcγRIIIb-HNA1a allotype produced a deleterious effect on perinatal HIV-1 acquisition. This is contrary to the protective effect observed in the earlier study with a smaller South African cohort, primarily in the intrapartum infected children [12]. The different observations between the two studies may be attributable to different cohort compositions. The present study cohort was exposed to nevirapine for prevention of MTCT and more likely infected in-utero, with few intrapartum infections. When the breast-fed children were excluded from the analysis, the observed significant association with FcγRIIb-232T, FcγRIIIb-HNA1a and FCGR3A copy number variants remained. These variants likely play a role in HIV-1 acquisition during the course of pregnancy and at the maternal-foetal interface [12]. The study has several strengths. The genotyping method utilized is robust, as the MLPA assay is able to assess functional SNPs and CNV within the FCGR2/3 locus simultaneously, rather than investigating associations with perinatal HIV-1 infection using methodologies that use candidate gene designs. Due to high homology of FCGR2/3 we checked for linkage disequilibrium to identify functional interaction between the independently associated polymorphisms. A limitation of the study is that maternal data were not available. In particular, we could not adjust for maternal viral load, a key determinant of MTCT of HIV-1 infection. Furthermore, we could not assess the the effect of maternal FCGR genotypes on transmission. The contribution of FcγRIIb to disease susceptibility has largely been studied in systemic lupus erythematosus patients [47, 51] but there is paucity of data on association with HIV-1 acquisition. The findings of this study contribute to better understanding of the role of FcγRs in HIV-1 infection in children and add to the growing evidence of a potential role for Fc-mediated effector functions in modulating perinatal HIV-1 acquisition. As more FcγR variants associated with HIV-1 acquisition are reported, more studies are needed to critically evaluate their clinical relevance in the development of preventive or therapeutic interventions.

Dataset for FCGR Variants and MTCT of HIV-1.

(XLSX) Click here for additional data file. (DTA) Click here for additional data file.
  51 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 defunctioning polymorphism in FCGR2B is associated with protection against malaria but susceptibility to systemic lupus erythematosus.

Authors:  Lisa C Willcocks; Edward J Carr; Heather A Niederer; Tim F Rayner; Thomas N Williams; Wanling Yang; J Anthony G Scott; Britta C Urban; Norbert Peshu; Timothy J Vyse; Yu Lung Lau; Paul A Lyons; Kenneth G C Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-12       Impact factor: 11.205

3.  Allelic-dependent expression of an activating Fc receptor on B cells enhances humoral immune responses.

Authors:  Xinrui Li; Jianming Wu; Travis Ptacek; David T Redden; Elizabeth E Brown; Graciela S Alarcón; Rosalind Ramsey-Goldman; Michelle A Petri; John D Reveille; Richard A Kaslow; Robert P Kimberly; Jeffrey C Edberg
Journal:  Sci Transl Med       Date:  2013-12-18       Impact factor: 17.956

Review 4.  Fcγ Receptor Function and the Design of Vaccination Strategies.

Authors:  Stylianos Bournazos; Jeffrey V Ravetch
Journal:  Immunity       Date:  2017-08-15       Impact factor: 31.745

5.  Nonallelic homologous recombination of the FCGR2/3 locus results in copy number variation and novel chimeric FCGR2 genes with aberrant functional expression.

Authors:  S Q Nagelkerke; C E Tacke; W B Breunis; J Geissler; J W R Sins; B Appelhof; T K van den Berg; M de Boer; T W Kuijpers
Journal:  Genes Immun       Date:  2015-07-02       Impact factor: 2.676

6.  Association of Fcγ receptor IIIa genotype with the rate of HIV infection after gp120 vaccination.

Authors:  Donald N Forthal; Erin E Gabriel; Angela Wang; Gary Landucci; Tran B Phan
Journal:  Blood       Date:  2012-08-22       Impact factor: 22.113

7.  African infants' CCL3 gene copies influence perinatal HIV transmission in the absence of maternal nevirapine.

Authors:  Louise Kuhn; Diana B Schramm; Samantha Donninger; Stephen Meddows-Taylor; Ashraf H Coovadia; Gayle G Sherman; Glenda E Gray; Caroline T Tiemessen
Journal:  AIDS       Date:  2007-08-20       Impact factor: 4.177

8.  Heterogeneous neutralizing antibody and antibody-dependent cell cytotoxicity responses in HIV-1 elite controllers.

Authors:  Olivier Lambotte; Guido Ferrari; Christiane Moog; Nicole L Yates; Hua-Xin Liao; Robert J Parks; Charles B Hicks; Kouros Owzar; Georgia D Tomaras; David C Montefiori; Barton F Haynes; Jean-François Delfraissy
Journal:  AIDS       Date:  2009-05-15       Impact factor: 4.177

9.  Polymorphism of Fc receptor IIa for IgG in infants is associated with susceptibility to perinatal HIV-1 infection.

Authors:  Kimberly C Brouwer; Renu B Lal; Lisa B Mirel; Chunfu Yang; Anne M van Eijk; John Ayisi; Juliana Otieno; Bernard L Nahlen; Richard Steketee; Altaf A Lal; Ya Ping Shi
Journal:  AIDS       Date:  2004-05-21       Impact factor: 4.177

10.  FCGR Genetic Variation in Two Populations From Ecuador Highlands-Extensive Copy-Number Variation, Distinctive Distribution of Functional Polymorphisms, and a Novel, Locally Common, Chimeric FCGR3B/A (CD16B/A) Gene.

Authors:  Manuela Moraru; Adriana Perez-Portilla; Karima Al-Akioui Sanz; Alfonso Blazquez-Moreno; Antonio Arnaiz-Villena; Hugh T Reyburn; Carlos Vilches
Journal:  Front Immunol       Date:  2021-05-24       Impact factor: 7.561

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