Fc Gamma Receptor IIIB NA1/NA2/SH Polymorphisms Are Associated with Malaria Susceptibility and Antibody Levels to P. falciparum Merozoite Antigens in Beninese Children
by
, , and
Abdou Khadre Dit Jadir Fall
1,*,
David Courtin
1,
Rafiou Adamou
1,2,
Sofie Edslev
3,4,
Anita Hansen
3,
Nadia Domingo
1,2,
Michael Christiansen
5,
Bright Adu
3,6,
Jacqueline Milet
1,
André Garcia
1,
Michael Theisen
3,5,
Florence Migot-Nabias
1 and
Célia Dechavanne
1 1
Institut de Recherche pour le Développement, UMR 261 MERIT, Université Paris Cité, 75006 Paris, France
2
Centre d’Etude et de Recherche sur les Pathologies Associées à la Grossesse et à l’Enfance, Cotonou 00229, Benin
3
Centre for Medical Parasitology, Department of International Health, Immunology and Microbiology, Department of Infectious Diseases, University of Copenhagen, Copenhagen University Hospital, Rigshospitalet, 2300 Copenhagen, Denmark
4
Bacteria, Parasites, and Fungi, Statens Serum Institut, Artillerivej 5, 2300 Copenhagen, Denmark
5
Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
6
Department of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra P.O. Box LG 581, Ghana
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(23), 14882; https://doi.org/10.3390/ijms232314882
Submission received: 26 September 2022
/
Revised: 21 November 2022
/
Accepted: 22 November 2022
/
Published: 28 November 2022
(This article belongs to the Special Issue Identification of Host Factors Involved in Pathogenic Mechanisms of Infectious Diseases)
Abstract
:This paper aimed to investigate the influence of polymorphisms in the FCGR2A gene encoding R131H FcgRIIA variants and in the FCGR3B gene (108G > C, 114C > T, 194 A > G, 233C > A, 244 G > A and 316G > A) encoding FcgRIIIB-NA1, -NA2 and -SH variants on malaria susceptibility and antibody responses against P. falciparum merozoite antigens in Beninese children. An active malaria follow-up was conducted in infants from birth to 24 months of age in Allada, Benin. FCGR3B exon 3 was sequenced and FCGR2A exon 4 was genotyped. Antibodies directed to GLURP and MSP3 were quantified by ELISA. Association studies were performed using mixed-effect models. Individual carriage of FCGR3B 194 AA genotype was associated with a high number of malaria infections and a low level of IgG1 against MSP3 and GLURP-R0. High parasitemia and increased malaria infections were observed in infants carrying the FCGR3B*05 108C-114T-194A-233C-244A-316A haplotype. A reduced risk of malaria infections and low parasitemia were related to the carriages of the FCGR3B 108C-114T-194G-233C-244G-316A (FCGR3B*06), FCGR3B 108C–114T–194G–233A–244A–316A (FCGR3B*03 encoding for FcgRIIIB-SH) haplotypes and FCGR3B 297 TT genotype. Our results highlight the impact of FCGR3B polymorphisms on the individual susceptibility to malaria and antibody responses against MSP3 and GLURP in Beninese children.
1. Introduction
Immunity against Plasmodium falciparum (Pf) malaria is not well understood. However, it has been shown that immunoglobulin G (IgG) antibodies are major effectors of protection against Pf malaria [1,2,3]. IgG can act on Pf by agglutinating the parasites and directly preventing their reinvasion of red blood cells or indirectly by binding to Fc gamma receptors (FcgR). FcgR facilitate the engulfment of IgG-opsonized microbes, leading to the activation and regulation of the immune cell response and, at term, to parasite killing [4]. FcgR can influence the IgG binding on immune cells and impact immunity to malaria through ADCC (antibody-dependent cell-mediated cytotoxicity), ADRB (antibody dependent respiratory burst) or phagocytosis of malaria parasites [4]. FcgR are expressed at the surface of immune cells such as neutrophils [5]. Neutrophils are the most abundant leukocytes in the human blood and play key roles in innate immune response [6]. They are at the front lines of infection defenses, being generally the first circulating cells clearing pathogens including Pf. Phagocytosis, the production of reactive oxygen species (ROS) or other anti-microbial products [7] are described as functions that neutrophils deploy to fight malaria infection [8,9,10]. Human neutrophils constitutively express the FcgRIIA and FcgRIIIB capable of binding IgG antibodies. Various studies have investigated the relationships between polymorphisms in FcgRIIA and FcgRIIIB, IgG sub-classes and malaria immunity [11,12,13,14].
FcgRIIA binds preferentially to IgG3, and then IgG1 and IgG2, followed by IgG4 [15]. FcgRIIA initiates endocytosis, phagocytosis and the release of inflammatory mediators [16]. There are two variants for FcgRIIA, 131R (Arginine) and 131H (Histidine) which show different IgG2 binding efficiencies, being greater for the 131H variant [16]. The 131R variant has been shown to play a major role in ADRB and is associated with low phagocytic activity and poor immune complex clearance [4,17].
FcgRIIIB is one of the most abundant proteins at the surface of neutrophils, with each cell expressing between 100,000 and 200,000 copies [6,18]. It preferentially binds IgG1 or IgG3 opsonized particles [19]. FcgRIIIB is the only FcgR anchored to the cell membrane via glycosylphosphatidylinositol (GPI) and has the same number of extracellular domains as its other variant, FcgRIIIA [20,21]. The hypothesis of its synergistic effect with FcgRIIA and FcgRIIIA has been advanced by several studies, concurring to greater activate phagocytosis as well as degranulation, and consequently can better eliminate opsonized pathogens by neutrophils [22,23,24,25]. Neutrophil antigen (NA) polymorphisms are located in the membrane-distal Ig-like domain of FcgRIIIB. These polymorphisms, called human neutrophil antigens (HNAs), are HNA-1a (or NA1) encoded by the FCGR3B*01 allele, HNA-1b (or NA2) encoded by the FCGR3B*02 allele and HNA-1c (or SH) encoded by the FCGR3B*03 allele [26,27].
Other alleles (https://www.imgt.org/), as well as the absence of the FcgRIIIB molecule (NA null) for individuals whose neutrophils present a gene deletion, are described. NA polymorphisms are encoded by six nucleotides localized in the exon 3. FCGR3B*01 and FCGR3B*02 alleles differ in five 108G > C, 114C > T, 194 A > G, 244 G > A and 316G > A positions. They are both identical for the nucleotide at position 233, unlike FCGR3B*03 (rs5030738, 233C > A). This modification in FCGR3B*03 encodes for A78D, which results in the expression of the FcgRIIIB-SH allo-antigen [26,28,29]. Three additional polymorphisms of the FCGR3B gene were also considered in this study: 197 G > T, 297 G > T and 371 A > G, of which were previously associated with protection from malaria [30]. FcgRIIIB receptors play an important role in phagocytosis and degranulation [31]. FcgRIIIB NA1 facilitates the phagocytosis of IgG1- and IgG3-opsonized particles more efficiently than FccRIIIB-NA2 [31], while a study suggested that the 233A position of the FCGR3B gene could be linked to the modulation of antibody levels directed to GLURP-R0 and GLURP-R2 [32]. Regarding the other FCGR3B SNPs, no study focused on relationships with malaria infections.
In this study, we explored the influence of Single Nucleotide Polymorphisms (SNP) in exon 4 of FCGR2A and in exon 3 of FCGR3B in a cohort of Beninese infants followed-up for malaria from birth to 24 months of age. Among the rare literature on this topic, Adu et al. found, in Ghanaian children, an association between the carriage of the FCGR3B*03 233A allele and protection against malaria [30]. Moreover, FCGR3B 233AA and 233AC genotypes have been shown to modify the protective effect of both GLURP-R0 and GLURP-R2 antibodies with an important reduced risk of malaria clinical infections in Ghanaian children [32].
Our work aims to investigate the impact of these specific polymorphisms encoding FcgRIIA 131R/H, FcgRIIIB-NA1, FcgRIIIB-NA2 and FcgRIIIB-SH variants on the susceptibility to malaria infections through the number of P. falciparum infections and the parasite density. Since FcgRIIIB variants have also been related to the modulation of IgG concentrations [32], the role of SNPs in FCGR3B on levels of IgG1, IgG2 and IgG3 specific to MSP3 and GLURP-R0 and GLURP-R2 antigens was also investigated.
2. Results
2.1. Characteristics of Study Participants
As presented in Table 1, 345 Beninese infants were followed-up for 18 months. Out of 345, 280 (81%) infants presented at least one P. falciparum infection with a mean of 4.44 infections per infant and a maximum of 16 infections for one child. Sixty-five (19%) infants had no P. falciparum infection. Infants belonged mostly to the Aïzo ethnic group. Differences appeared between Aïzo, Fon and other ethnic groups regarding malaria infection (p = 0.041). Infants from the non-infected group were from a slightly better socio-economic environment (p = 0.098). There were no differences between infected and non-infected infants regarding sex, birth weight and bednet use. The majority of the mothers were married (98%), young (25 years, in mean), had two children on average and no P. falciparum infections during pregnancy (77% and 69% in the groups of non-infected and infected infants, respectively). Finally, infants from the non-infected group were less exposed to mosquitoes than infants from the infected group (p = 0.0001).
2.2. Associations between FCGR2A SNP, FCGR3B SNPs, and Malaria Infections or Parasite Density
Table 2 shows the observed distribution of FCGR2A and FCGR3B genotypes in the whole study group. None of the FcgRIIA 131RH, 131RR nor 131HH genotypes were associated with malaria infections or with parasite density (Table 3A). This result was confirmed by using the allelic model (Table 3A).
Among the FCGR3B SNPs studied, the results showed a high number of malaria infections associated with the carriage of FCGR3B 194AA (p = 0.027), while the FCGR3B 194 G-allele was related to a low risk of infection (p = 0.029) (Table 3B). In contrast, the carriage of FCGR3B 297TT was related to protection against malaria infections through a decrease in both the number of infections and level of parasitemia (p = 0.018 and p = 0.050, respectively) (Table 3B).
2.3. Associations between FCGR3B-Combined SNPs and Malaria Infection or Parasite Density
In this section, the influence on malaria infections of possible FCGR3B-combined SNPs, including those encoding the FcgRIIIB-NA1, -NA2 and -SH variants (108G > C, 114C > T, 194 A > G, 233C > A, 244 G > A, 316 G > A), was studied.
The FCGR3B SNP combinations observed in the study group are presented in Figure 1. The combination 108C-114T-194G-233C-244G-316A (FCGR3B*06) was prevalent in the study population at 22%. Of note, 22 sequences were found in this population, whereas only 12 were described in the IMGT® database.
Only the haplotype 108C-114T-194A-233C-244A-316A (that differs from FCGR3B*02 only in 194 A > G) was associated with both high numbers of infections and high levels of parasitemia (p = 0.011 and p = 0.0001, respectively) (Table 4). In contrast, 108C-114T-194G-233C-244G-316A (FCGR3B*06) was the unique combination of FCGR3B SNPs associated with both low numbers of infections and low levels of parasitemia (p = 0.018 and p = 0.043, respectively). The results in Table 4 also showed a protective effect against P. falciparum infections in relation to the carriage of FcgRIIIB-SH haplotype (FCGR3B*03, p = 0.035).
2.4. IgG Isotype Levels to P. Falciparum Merozoite Antigens, FCGR3B SNPs, and FCGR3B-Combined SNPs
As expected, the group of infants exposed to a Pf infection had higher concentrations of IgG against the candidate vaccine antigens than the group of non-infected infants, except for IgG2 against MSP3 and GLURP-R0 (Figure 2).
IgG levels to MSP3, GLURP-R0 and GLURP-R2 recombinant antigens were dichotomized into low and high according to the median value. When taking into account the individual carriage of FCGR2A and FCGR3B polymorphisms, only two associations emerged, involving the FCGR3B 194AA genotype, which was associated with a low level of IgG1 against GLURP-R0 and MSP3 compared to FCGR3B 194GG (p-value = 0.017 and 0.008, respectively) (Figure 3).
According to Figure 4, infants carrying FCGR3B*05 had higher IgG3 levels against GLURP-R2 (p = 0.050) compared to infants carrying FCGR3B*06 and *03. The same pattern was observed for IgG2 against GLURP-R2—even the p-value was not significant at p = 0.05 (0.098). Infants carrying FCGR3B*06 and *03 had higher IgG1 levels against MSP3 and GLURP-R2 compared to infants carrying FCGR3B*05—even the differences were not significant.
3. Discussions
This study focused on the impact of specific polymorphisms encoding FcgRIIA 131 R/H and FcgRIIIB-NA1/-NA2/-SH variants on the susceptibility to malaria infection through the number of infections and parasite density. Genetic polymorphisms present in FCGR2A and FCGR3B genes could alter the affinity of FcgRIIA and FcgRIIIB receptors for IgG, and therefore, influence the quality of the immune response against malaria. No association between malaria phenotypes and FcgRIIA 131 R/H (rs1801274) variants was found in Beninese children from Allada. This result is consistent with findings from another study previously performed in Benin in the Tori Bossito area [14]. It may be explained by the fact that FcgRIIA needs to interact with other FcgR, particularly FcgRIIIB. Indeed, these receptors have been shown to exhibit synergistic responses: FcgRIIA is essential for the induction of efficient effector functions, while a high abundance of FcgRIIIB may guarantee an efficient interaction with IgG complexes [33].
Among the SNPs located in exon 3 of FCGR3B, we found that the FCGR3B 194AA genotype was associated with an increased risk of malaria infection, which may be explained by its association with low IgG1 levels to MSP3 and GLURP-R0. In other studies, high IgG levels to MSP3 and GLURP antigens have been associated with malaria protection [33,34,35]. Moreover, unlike the FCGR3B 194 G-allele, for which we had an association with a low risk of malaria infection, the FCGR3B 194 A-allele may alter the affinity of IgG sub-classes for the receptor. Indeed, it is known that the FCGR3B 194 G-allele encodes for a Serine (S) at position 65 of FcgRIIIB. In combination with the Asparagine (N) at position 63, the FCGR3B 194 G-allele leads to a glycosylation site. Based on our observation, we hypothesize that the loss of glycosylation due to the FCGR3B 194 A-allele may decrease the immune activation of neutrophils against P. falciparum [36]. This form could even be related to a poorer ingestion of IgG1 or IgG3 opsonized particles [31]. In line with this, we also observed that the haplotype 108C-114T-194A-233C-244A-316A (FCGR3B*05) was associated with a high risk of malaria infection and parasite density. Therefore, the association observed between malaria susceptibility and this haplotype could result from the presence of the A-allele at position 194 of FCGR3B.
In our study, no association was found between the FCGR3B 233 A-allele and malaria protection, whereas we observed that the carriage of 108C-114T-194G-233A-244A-316A encoding for the FcgRIIIB-SH haplotype was related to a decreased risk of malaria infection. This observation is in line with the results of Adu et al. [30], who found an association between FcgRIIIB-SH and protection against clinical malaria in Ghanaian children.
The FcgRIIIB-SH has been also implicated in a higher expression of the FcgRIIIB receptor [37]. Since FcgRIIIB plays an important role in phagocytosis and degranulation, this form could be associated with the better ingestion of IgG1 or IgG3 opsonized particles [31] or other mechanisms involved in the immune response against malaria, such as the ADRB [4]. FCGR3B 233 A/C has been shown to potentially modulate antibody concentrations to GLURP-R0 and GLURP-R2 [32]. Children carrying FCGR3B 233AA and 233AC genotypes showed a reduced risk of clinical malaria in Ghana [32]. The FCGR3B 233 A-allele encodes for a substitution of the hydrophobic amino acid alanine (A) by the negatively charged aspartic acid (D) at position 78. It has been proposed that this substitution improved the binding of IgG, and therefore, may lead to malaria protection [30,37].
Our results showed associations between the FCGR3B 297TT genotype and a decreased risk of P. falciparum infections and low parasitemia. Adu et al. found the 297 T-allele to be significantly associated with protection from clinical malaria through a Fisher test [30]. These results are interesting since only two studies investigating its correlation with malaria susceptibility found the same results. In addition, our study correlated this allele with the level of parasitemia. The FCGR3B 297 T-allele may favor an important biological mechanism by enhancing the capability of IgG antibodies to trigger neutrophil-mediated functions such as opsonized merozoite phagocytosis. The influence of the FCGR3B 297 T-allele deserves further exploration in order to better understand the underlying mechanisms and to evaluate its impact on malaria protection.
Finally, the 108G > C, 114C > T, 194A > G, 244G > A and 316G > A allele distribution encoding the NA1/NA2 system revealed significant deviations from the HWE expectation. This result was in line with our previous observation regarding the distribution of NA1/NA2 genotypes in a Beninese population [14] and in Kenyan children [38,39]. The HWE deviation observed for FCGR3B could be due to consanguinity [39]—unidentified mutations likely resulting from disease-related evolutionary selection pressure exerted by P. falciparum and potentially by other infectious diseases occurring in the population that do not affect the neighboring FCGR2A and FCGR3B genes.
In conclusion, the present study showed that the FCGR3B 194AA genotype was associated with a higher risk of malaria infection and low IgG levels to GLURP-R0 and MSP3, while the FCGR3B 297 T-allele was associated with a reduced risk of P. falciparum infections and low parasitemia. Moreover, a higher risk of malaria infection and parasitemia was related to the FCGR3B 108C-114T-194A-233C-244A-316A (FCGR3B*05) haplotype.
This study provides a justification for a more detailed functional characterization of the polymorphisms located at positions 194 and 297 of the FCGR3B gene. Additionally, further studies are needed for a deeper understanding of the mechanisms involved in the relationships observed between gene polymorphisms and specific antibody levels.
4. Materials and Methods
4.1. Study Area and Design
The study was conducted in the district of Allada (southern Benin), in a semi-rural area where Pf malaria is hyperendemic. This study was part of the TOLIMMUNPAL project (“Tolerance Immunitaire et Paludisme”) which was conducted from January 2010 to December 2011 with 345 newborns enrolled and followed-up from birth to 24 months of age.
This follow-up consisted of epidemiological, environmental and parasitological monitoring. Routine parasitological monitoring was performed monthly using thick blood smears (TBS) to detect asymptomatic infection. In case of fever, both a rapid diagnostic test (RDT) and a TBS were carried out. Symptomatic malaria (fever or history of fever in the preceding 24 h and positive RDT and/or TBS) was treated according to the recommendations of the national malaria control program. Parents were invited to bring their infants to the two health centers of reference (Attogon and Sekou) at any time in the eventual suspicion of malaria, fever or clinical signs related to malaria or not. To assess the environmental risk of malaria exposure, environmental (house characteristics, surroundings, mosquito captures) and geographical (satellite images, soil type, watercourse nearby, vegetation index, rainfall) data were recorded. This allowed for modeling, for each child included in the follow-up, an individual risk of exposure to Anopheles bites by means of a space- and time-dependent variable [40].
4.2. FcgRIIA Genotyping
Genetic polymorphisms encoding for FcgRIIA 131R/H were identified using a polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method described by Jiang et al. [41]. FCGR2A contains a non-synonymous variant (c.494G/A, rs1801274), where a G-to-A substitution in exon 4 changes an amino acid from arginine (R, codon CGT) to histidine (H, codon CAT) in residue 131 of the protein. The PCR-RLFP method used the sense primer (5′-GGAAAATCCCAGAAATTCTCGC-3′) and the antisense primer (5′-CAACAGCCTGACTACCTATTACGCGGG-3′) [30]. The sense primer ends immediately 5′ to the polymorphic site in codon 131, and contains a nucleotide substitution (underlined), which introduces a BstUI restriction enzyme site (5′-CGCG-3′) into the PCR product when the next nucleotide is G. The antisense primer is located in the downstream intron and contains two nucleotide substitutions (underlined), which introduce an obligate BstUI site into all PCR products. This serves as an internal control for successful restriction enzyme digestion. During BstUI digestion, infant DNA containing the CGT codon is cut twice (generating a 322 bp DNA fragment) and infant DNA containing the CAT codon is cut once (generating a 343 bp DNA fragment). The final BstUI restriction digestion products were visualized as 343 bp (HH genotype), 343 and 322 pb (RH genotype) and 322 bp (RR genotype) bands on 3% agarose with ethidium bromide staining.
4.3. Sequencing of FCGR3B Exon 3
Sequencing FCGR3B exon 3 required a multistep procedure to be sure that only exon 3 from FCGR3B was sequenced due to a high similarity of the sequences of exon 3 from FCGR3B and FCGR3A. First of all, a long-range PCR, amplifying a larger segment of FCGR3B (exon 1 to intron 3), was first carried out. In this, 10 ng/μL of infant DNA was amplified used a 20 mM sense primer (5′-CTCCATTGGGAGACTTGAGAT-3′) and a 20 mM antisense primer (5′-CGTGGTTTCTAAGGTGTCACAGG-3′) [30]. Then, the amplified DNA segments were separated by electrophoresis on a 1% agarose gel containing ethidiumbromid, and then were extracted by a gel extraction kit. For the first step, 5 μL of DNA loading buffer was added to each sample of long-range PCR products (15 μL/well). A blank sample acting as a control, and a 7 μL DNA marker, were also loaded to the gel. The electrophoresis was run at 90V for 45 mn. Gel pieces containing the DNA bands, visualized in a UV transluminator at 312 nm, were cut out of the gel and transferred to 1.5 mL eppendorf tubes (one sample/tube). The tubes were stored overnight at 5 °C. The extracted DNA was used in a nested PCR, where exon 3 from FCGR3B was amplified. Amplicons were used in a nested PCR to amplify exon 3 of FCGR3B with the M13 tagged sense (5′-tgtaaaacgacggccagtCTCAGCTTCATGGTCTTGGATTG-3′) and antisense (5′-caggaaacagctatgaccACACATTCACATTGTATGCACTCCA-3′) primers. The quality of the nested PCR products was checked by gel electrophoresis before the final stage of the sequencing reaction. The amplified DNA was then replicated in a sequencer reaction where fluorescent-labeled dideoxynucleotides (ddNTPs) were added to the M13 primers. The four ddNTPs were labeled with fluorescent dyes with different wavelengths, thus, giving different signals when measured in a DNA Analyzer machine. The FCGR3B exon 3 sequences were analyzed with the software program Sequencher 5.1 (Gene Codes Corporation) [30].
4.4. ELISA Assay
The Enzyme-Linked Immunosorbent Assay (ELISA) standard operating procedures developed by the African Malaria Network Trust were used to assess the concentrations of IgG1, IgG2 and IgG3 specific to the MSP3/FC27 strain and GLURP/F32 strain vaccine candidate antigens for malaria. MSP3 (amino acids 212–380, F32 strain), GLURP-R0 (amino acids 25–514, F32 strain) and GLURP-R2 (amino acids 706–1178, F32 strain) were obtained through E. coli [13]. The protocol for the IgG quantification was previously described elsewhere [13].
Briefly, plasma samples (from infants at 6, 12, 15, 18 and 24 months of age) were diluted in a dilution buffer (1% milk powder in 1X PBS 0.1% Tween 20, 0.02% NaAz) 1∶50 for IgG1, IgG2, IgG3 to MSP3 and GLURP. Horse radish peroxidase-conjugated anti-IgG1 (clone NL16, Skybio, Bedfordshire, UK) at 1:2000 dilution as well as anti-IgG2 (clone HP 6002, Sigma, Saint-Louis, MO, USA) and anti-IgG3 (clone ZG4, Skybio) at 1:5000 dilution were used as detection antibodies. The plates were washed thrice with PBS Tween-20 (0.1%) NaCl (0.5 M) after blocking and incubation with primary and detection antibodies. ADAMSEL software (Auditable Data Analysis and Management System for ELISA) was used to transform optical density (OD) values into antibody concentrations [13]. IgG1, IgG2 and IgG3 against Pf merozoite antigens were quantified at 6, 12, 15, 18 and 24 months of age, but the analysis used the levels at 24 months.
4.5. Statistical Analysis
The clinical phenotypes of interest were the number of P. falciparum infections per infant during the follow-up and the parasite density. The parasite density corresponded to the number of parasites per microliter of blood (based on 8000 leukocytes/μL). Chi-square and Mann–Whitney tests were used to compare the demographic and clinical characteristics between infected and non-infected groups.
The genotypic frequencies of FCGR2A and FCGR3B haplotypes were tested for the Hardy–Weinberg equilibrium (HWE). Association analyses between malaria infections during the 24-month follow-up and FCGR2A and FCGR3B polymorphisms were tested using a mixed-effects Poisson regression, while associations with parasite density were tested using a mixed-effects linear regression model.
First of all, the influence of the carriage of FCGR2A and FCGR3B SNPS and genotypes on the clinical phenotypes was studied. For each polymorphism, the reference was the homozygote with the highest number. The carriage of specific alleles was even studied. Then, we established the possible FCGR3B-combined SNPs, including those encoding the FcgRIIIB-NA1, -NA2 and -SH variants (108G > C, 114C > T, 194 A > G, 233C > A, 244 G > A and 316G > A); their associations with malaria infections were studied.
The models were adjusted using covariates listed in Table 1. Univariate regression analyses on each of the covariates were made and only those with a p-value < 0.20 in the univariate model were included in the mixed-effects models. The mother’s age (in years), child’s age (in months), sex, birth weight, ethnic group, socio-economic score, number of infants per mother, infection during pregnancy, mosquito exposure and bednet use were used according to the criteria.
Finally, the levels of IgG1, IgG2 and IgG3 against MSP3, GLURP-R0 and GLURP-R2 at 24 months of age were investigated for each SNP or SNP combinations.
Statistical analysis was carried out using the Stata software version 14.
Author Contributions
A.K.D.J.F., D.C., A.G., F.M.-N. and C.D. conceived and designed the project. A.K.D.J.F., R.A., S.E., A.H., N.D. and M.C. performed the laboratory experiments. B.A., J.M. and M.T. brought the technical support or result validation. A.K.D.J.F., D.C., J.M. and C.D. performed the statistical analysis. A.K.D.J.F., D.C., F.M.-N. and C.D. wrote the paper. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the Agence Nationale de la Recherche (ANR TOLIM-MUNPAL project). The Université Paris Cité awarded a PhD scholarship to AKDJF.
Institutional Review Board Statement
The Faculté des Sciences de la Santé institutional review board and the IRD’s Consultative Ethics Committee approved the study protocol. The approval number was 43/11/2009/CE/FSS/UAC.
Informed Consent Statement
All mothers in this study signed an informed consent before enrollment (which also included their infants) with the possibility to withdraw at any time.
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Acknowledgments
The authors are grateful to all the women, men and children who agreed to participate in this project, to field supervisors and community health workers and health auxiliaries from the health centers.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Aribot, G.; Druilhe, P.; Trape, J.-F.; Balde, A.T.; Sarthou, J.-L.; Rogier, C.; Roussilhon, C. Pattern of immunoglobulin isotype response to Plasmodium falciparum blood-stage antigens in individuals living in a holoendemic area of Senegal (Dielmo, west Africa). Am. J. Trop. Med. Hyg. 1996, 54, 449–457. [Google Scholar] [CrossRef] [PubMed]
- Beck, H.P.; Felger, I.; Genton, B.; Alexander, N.; Al-Yaman, F.; Anders, R.F.; Alpers, M. Humoral and cell-mediated immunity to the Plasmodium falciparum ring-infected erythrocyte surface antigen in an adult population exposed to highly endemic malaria. Infect. Immun. Feb. 1995, 63, 596–600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ferreira, M.U.; Kimura, E.A.S.; Katzin, A.M.; Santos-Neto, L.L.; Ferrari, J.O.; Villalobos, J.M.; de Carvalho, M.E. The IgG-subclass distribution of naturally acquired antibodies to Plasmodium falciparum, in relation to malaria exposure and severity. Ann. Trop. Med. Parasitol. 1998, 92, 245–256. [Google Scholar] [CrossRef]
- Pleass, R.J.; Ogun, S.A.; McGuinness, D.H.; van de Winkel, J.G.J.; Holder, A.A.; Woof, J.M. Novel antimalarial antibodies highlight the importance of the antibody Fc region in mediating protection. Blood 2003, 102, 4424–4430. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Beeson, J.G.; Drew, D.R.; Boyle, M.; Feng, G.; Fowkes, F.; Richards, J.S. Merozoite surface proteins in red blood cell invasion, immunity and vaccines against malaria. FEMS Microbiol. Rev. 2016, 40, 343–372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, Y.; Jönsson, F. Expression, Role, and Regulation of Neutrophil Fcγ Receptors. Front. Immunol. 2019, 10, 1958. [Google Scholar] [CrossRef]
- Kolaczkowska, E.; Kubes, P. Neutrophil recruitment and function in health and inflammation. Nat. Rev. Immunol. 2013, 13, 159–175. [Google Scholar] [CrossRef]
- Wickramasinghe, S.N.; Phillips, R.E.; Looareesuwan, S.; Warrell, D.A.; Hughes, M. The bone marrow in human cerebral malaria: Parasite sequestration within sinusoids. Br. J. Haematol. 1987, 66, 295–306. [Google Scholar] [CrossRef]
- Aitken, E.H.; Alemu, A.; Rogerson, S.J. Neutrophils and Malaria. Front. Immunol. 2018, 9, 3005. [Google Scholar] [CrossRef] [Green Version]
- Kapelski, S.; Klockenbring, T.; Fischer, R.; Barth, S.; Fendel, R. Assessment of the neutrophilic antibody-dependent respiratory burst (ADRB) response to Plasmodium falciparum. J. Leukoc. Biol. 2014, 96, 1131–1142. [Google Scholar] [CrossRef]
- Cohen, S.; McGregor, I.A.; Carrington, S. Gamma-globulin and acquired immunity to human malaria. Nature 1961, 192, 733–737. [Google Scholar] [CrossRef]
- Ouma, C.; Keller, C.C.; Opondo, D.A.; Were, T.; Otieno, R.O.; Otieno, M.F.; Orago, A.S.S.; Ong’Echa, J.M.; Vulule, J.M.; Ferrell, R.E.; et al. Association of FCgamma receptor IIA (CD32) polymorphism with malarial anemia and high-density parasitemia in infants and young children. Am. J. Trop. Med. Hyg. 2006, 74, 573–577ss. [Google Scholar] [CrossRef] [PubMed]
- Courtin, D.; Oesterholt, M.; Huismans, H.; Kusi, K.; Milet, J.; Badaut, C.; Gaye, O.; Roeffen, W.; Remarque, E.J.; Sauerwein, R.; et al. The Quantity and Quality of African Children’s IgG Responses to Merozoite Surface Antigens Reflect Protection against Plasmodium falciparum Malaria. PLoS ONE 2009, 4, e7590. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fall, A.K.D.J.; Dechavanne, C.; Sabbagh, A.; Guitard, E.; Milet, J.; Garcia, A.; Dugoujon, J.-M.; Courtin, D.; Migot-Nabias, F. Susceptibility to Plasmodium falciparum Malaria: Influence of Combined Polymorphisms of IgG3 Gm Allotypes and Fc Gamma Receptors IIA, IIIA, and IIIB. Front. Immunol. 2020, 11, 608016. [Google Scholar] [CrossRef] [PubMed]
- Parren, P.W.; Warmerdam, P.A.; Boeije, L.C.; Arts, J.; Westerdaal, N.A.; Vlug, A.; Capel, P.J.; Aarden, L.A.; van de Winkel, J.G. On the interaction of IgG subclasses with the low affinity Fc gamma RIIa (CD32) on human monocytes, neutrophils, and platelets. Analysis of a functional polymorphism to human IgG2. J. Clin. Investig. 1992, 90, 1537–1546. [Google Scholar] [CrossRef] [Green Version]
- Maiga, B.; Dolo, A.; Touré, O.; Dara, V.; Tapily, A.; Campino, S.; Sepulveda, N.; Corran, P.; Rockett, K.; Clark, T.; et al. Fc gamma Receptor II a-H 131 R Polymorphism and Malaria Susceptibility in Sympatric Ethnic Groups, Fulani and Dogon of M ali. Scand. J. Immunol. 2014, 79, 43–50. [Google Scholar] [CrossRef]
- Warmerdam, P.A.; van de Winkel, J.G.; Gosselin, E.J.; Capel, P.J. Molecular basis for a polymorphism of human Fc gamma receptor II (CD32). J. Exp. Med. 1990, 172, 19–25. [Google Scholar] [CrossRef] [Green Version]
- Fanger, M.W.; Shen, L.; Graziano, R.F.; Guyre, P.M. Cytotoxicity mediated by human Fc receptors for IgG. Immunol. Today 1989, 10, 92–99. [Google Scholar] [CrossRef]
- Vidarsson, G.; Dekkers, G.; Rispens, T. IgG Subclasses and Allotypes: From Structure to Effector Functions. Front. Immunol. 2014, 5, 520. [Google Scholar] [CrossRef] [Green Version]
- Edberg, J.C.; Salmon, J.E.; Kimberly, R.P. Functional capacity of Fc gamma receptor III (CD16) on human neutrophils. Immunol. Res. 1992, 11, 239–251. [Google Scholar]
- Abbas, A.K.; Lichtman, A.H.; Masson, P.L.; Pillai, S.; Scott, J. Les Bases de L’immunologie Fondamentale et Clinique; Elsevier Masson SAS, Elsevier Health Sciences: Issy-les-Moulineaux, France, 2020. [Google Scholar]
- Powell, M.S.; Hogarth, P.M. Fc Receptors. Multichain Immune Recognition Receptor Signaling: From Spatiotemporal Organization to Human Disease; Springer: Berlin/Heidelberg, Germany, 2008; pp. 24–34. [Google Scholar]
- Sondermann, P.; Kaiser, J.; Jacob, U. Molecular Basis for Immune Complex Recognition: A Comparison of Fc-Receptor Structures. J. Mol. Biol. 2001, 309, 737–749. [Google Scholar] [CrossRef]
- Zhang, Y.; Boesen, C.C.; Radaev, S.; Brooks, A.G.; Fridman, W.H.; Sautes-Fridman, C.; Sun, P.D. Crystal structure of the extracellular domain of a human Fc gamma RIII. Immunity 2000, 13, 387–395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Zhou, M.J.; Brown, E.J. CR3 (Mac-1, alpha M beta 2, CD11b/CD18) and Fc gamma RIII cooperate in generation of a neutrophil respiratory burst: Requirement for Fc gamma RIII and tyrosine phosphorylation. J. Cell Biol. 1994, 125, 1407–1416. [Google Scholar] [CrossRef] [Green Version]
- Bux, J.; Kissel, K.; Hofmann, C.; Santoso, S. The use of allele-specific recombinant Fc gamma receptor IIIb antigens for the detection of granulocyte antibodies. Blood 1999, 93, 357–362. [Google Scholar] [CrossRef]
- Huizinga, T.W.; Kleijer, M.; Tetteroo, P.A.; Roos, D.; Von dem Borne, A.E. Biallelic neutrophil Na-antigen system is associated with a polymorphism on the phospho-inositol-linked Fc gamma receptor III (CD16). Blood 1990, 75, 213–217. [Google Scholar] [CrossRef] [Green Version]
- Ory, P.A.; Clark, M.R.; Kwoh, E.E.; Clarkson, S.B.; Goldstein, I.M. Sequences of complementary DNAs that encode the NA1 and NA2 forms of Fc receptor III on human neutrophils. J. Clin. Investig. 1989, 84, 1688–1691. [Google Scholar] [CrossRef]
- Bux, J.; Stein, E.L.; Bierling, P.; Fromont, P.; Clay, M.; Stroncek, D.; Santoso, S. Characterization of a new alloantigen (SH) on the human neutrophil Fc gamma receptor IIIb. Blood 1997, 89, 1027–1034. [Google Scholar] [CrossRef] [PubMed]
- Adu, B.; Dodoo, D.; Adukpo, S.; Hedley, P.L.; Arthur, F.K.; Gerds, T.A.; Larsen, S.O.; Christiansen, M.; and Theisen, M. Fc gamma receptor IIIB (FcgammaRIIIB) polymorphisms are associated with clinical malaria in Ghanaian children. PLoS ONE 2012, 7, e46197. [Google Scholar] [CrossRef] [Green Version]
- Huizinga, T.W.; Kerst, M.; Nuyens, J.H.; Vlug, A.; von dem Borne, A.E.; Roos, D.; Tetteroo, P.A. Binding characteristics of dimeric IgG subclass complexes to human neutrophils. J. Immunol. 1989, 142, 2359–2364. [Google Scholar] [PubMed]
- Adu, B.; Jepsen, M.P.G.; Gerds, T.A.; Kyei-Baafour, E.; Christiansen, M.; Dodoo, D.; Theisen, M. Fc Gamma Receptor 3B (FCGR3B-c.233C>A-rs5030738) Polymorphism Modifies the Protective Effect of Malaria Specific Antibodies in Ghanaian Children. J. Infect. Dis. 2014, 209, 285–289. [Google Scholar] [CrossRef]
- Van Sorge, N.; Van Der Pol, W.-L.; Van De Winkel, J. FcγR polymorphisms: Implications for function, disease susceptibility and immunotherapy. Tissue Antigens 2003, 61, 189–202. [Google Scholar] [CrossRef]
- Iriemenam, N.C.; Khirelsied, A.H.; Nasr, A.; El Ghazali, G.; Giha, H.A.; A-Elgadir, T.M.E.; Agab-Aldour, A.A.; Montgomery, S.M.; Anders, R.F.; Theisen, M.; et al. Antibody responses to a panel of Plasmodium falciparum malaria blood-stage antigens in relation to clinical disease outcome in Sudan. Vaccine 2009, 27, 62–71. [Google Scholar] [CrossRef]
- Stanisic, D.I.; Richards, J.S.; McCallum, F.J.; Michon, P.; King, C.L.; Schoepflin, S.; Gilson, P.R.; Murphy, V.J.; Anders, R.F.; Mueller, I.; et al. Immunoglobulin G subclass-specific responses against Plasmodium falciparum merozoite antigens are associated with control of parasitemia and protection from symptomatic illness. Infect. Immun. 2009, 77, 1165–1174. [Google Scholar] [CrossRef] [Green Version]
- Roussilhon, C.; Oeuvray, C.; Müller-Graf, C.; Tall, A.; Rogier, C.; Trape, J.F.; Theisen, M.; Balde, A.; Pérignon, J.-L.; Druilhe, P. Long-term clinical protection from falciparum malaria is strongly associated with IgG3 antibodies to merozoite surface protein 3. PLoS Med. 2007, 4, e320. [Google Scholar] [CrossRef] [PubMed]
- Koene, H.R.; Kleijer, M.; Roos, D.; de Haas, M.; dem Borne, A.E. Fc gamma RIIIB gene duplication: Evidence for presence and expression of three distinct Fc gamma RIIIB genes in NA(1+,2+) SH(+) individuals. Blood 1998, 91, 673–679. [Google Scholar] [CrossRef] [Green Version]
- Munde, E.O.; Okeyo, W.A.; Raballah, E.; Anyona, S.B.; Were, T.; Ong’Echa, J.M.; Perkins, D.J.; Ouma, C. Association between Fcg receptor IIA, IIIA and IIIB genetic polymorphisms and susceptibility to severe malaria anemia in children in western Kenya. BMC Infect Dis. 2017, 17, 289. [Google Scholar] [CrossRef] [Green Version]
- Ouma, C.; Davenport, G.C.; Garcia, S.; Kempaiah, P.; Chaudhary, A.; Were, T.; Anyona, S.B.; Raballah, E.; Konah, S.N.; Hittner, J.B.; et al. Functional haplotypes of Fc gamma (Fcgamma) receptor (FcgammaRIIA and FcgammaRIIIB) predict risk to repeated episodes of severe malarial anemia and mortality in Kenyan children. Hum Genet. 2012, 131, 289–299. [Google Scholar] [CrossRef] [Green Version]
- Cottrell, G.; Kouwaye, B.; Pierrat, C.; Le Port, A.; Bouraima, A.; Fonton, N.; Hounkonnou, M.N.; Massougbodji, A.; Corbel, V.; Garcia, A. Modeling the influence of local environmental factors on malaria transmission in Benin and its implications for cohort study. PLoS ONE 2012, 7, e28812. [Google Scholar] [CrossRef] [PubMed]
- Jiang, Z.-H.; Gibson, J.P. Genetic polymorphisms in the leptin gene and their association with fatness in four pig breeds. Mamm. Genome 1999, 10, 191–193. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Distribution of the FCGR3B SNP combinations among the study group. SNP combinations are listed in increasing order of their prevalence in the study group (n = 318 children and N = 636 combinations of alleles). The combination of SNPs are named according to the IMGT® database (https://www.imgt.org/IMGTrepertoireRPI/Proteins/tables/index.php?species=human&gene=FCGR3B#notes, accessed on 8 September 2022). The variant, FCGR3B*01, is also called [FcgRIIIB-NA1], and the same applies for FCGR3B*02 [FcgRIIIB-NA2] and FCGR3B*03 [FcgRIIIB-SH].
Figure 1.
Distribution of the FCGR3B SNP combinations among the study group. SNP combinations are listed in increasing order of their prevalence in the study group (n = 318 children and N = 636 combinations of alleles). The combination of SNPs are named according to the IMGT® database (https://www.imgt.org/IMGTrepertoireRPI/Proteins/tables/index.php?species=human&gene=FCGR3B#notes, accessed on 8 September 2022). The variant, FCGR3B*01, is also called [FcgRIIIB-NA1], and the same applies for FCGR3B*02 [FcgRIIIB-NA2] and FCGR3B*03 [FcgRIIIB-SH].
Figure 2.
Comparison of the level of IgG against MSP3 (Merozoite Surface Protein 3), GLURP-R0 (Glutamate Rich Protein R0) and GLURP-R2 (Glutamate Rich Protein R0) P. falciparum antigens according to a malaria infection. These figures present the distribution of IgG levels (median) to P. falciparum merozoite antigens at 24 months between the infected and non-infected groups. Statistical significance was determined using the Mann–Whitney U-test. P-values were compared between the non-infected and infected groups.
Figure 2.
Comparison of the level of IgG against MSP3 (Merozoite Surface Protein 3), GLURP-R0 (Glutamate Rich Protein R0) and GLURP-R2 (Glutamate Rich Protein R0) P. falciparum antigens according to a malaria infection. These figures present the distribution of IgG levels (median) to P. falciparum merozoite antigens at 24 months between the infected and non-infected groups. Statistical significance was determined using the Mann–Whitney U-test. P-values were compared between the non-infected and infected groups.
Figure 3.
IgG1 levels of infants to MSP3 (Merozoite Surface Protein 3) and GLURP-R0 (Glutamate Rich Protein R0) according to FCGR3B 194 A/G genotypes. Anti-merozoite IgG1 data were categorized into two levels, low and high, according to the median. The IgG levels at 24 months were used. Statistical significance was determined by the Kruskal–Wallis test. Only significant associations are shown.
Figure 3.
IgG1 levels of infants to MSP3 (Merozoite Surface Protein 3) and GLURP-R0 (Glutamate Rich Protein R0) according to FCGR3B 194 A/G genotypes. Anti-merozoite IgG1 data were categorized into two levels, low and high, according to the median. The IgG levels at 24 months were used. Statistical significance was determined by the Kruskal–Wallis test. Only significant associations are shown.
Figure 4.
Relationship between IgG levels at 24 months of age, and significant FCGR3B-combined SNPs. These figures present the distribution (median) of IgG1, IgG2 and IgG3 levels (at 24 months) to P. falciparum merozoite antigens in the case of the FCGR3B-combined SNPs found to be associated with malaria phenotypes. Statistical significance was determined by the Mann–Whitney test. Only significant or significant trend associations are shown. * Trend of significant P value at p-value ≤ 0.10: IgG levels between the carriage of FCGR3B*05 and FCGR3B*06 (or FCGR3B*03). ** significant p-value (p-value ≤0.05): IgG levels between the carriage of FCGR3B*05 and FCGR3B*06 (or FCGR3B*03).
Figure 4.
Relationship between IgG levels at 24 months of age, and significant FCGR3B-combined SNPs. These figures present the distribution (median) of IgG1, IgG2 and IgG3 levels (at 24 months) to P. falciparum merozoite antigens in the case of the FCGR3B-combined SNPs found to be associated with malaria phenotypes. Statistical significance was determined by the Mann–Whitney test. Only significant or significant trend associations are shown. * Trend of significant P value at p-value ≤ 0.10: IgG levels between the carriage of FCGR3B*05 and FCGR3B*06 (or FCGR3B*03). ** significant p-value (p-value ≤0.05): IgG levels between the carriage of FCGR3B*05 and FCGR3B*06 (or FCGR3B*03).
Table 1.
Characteristics of participants.
| Characteristics of the Study Group | At Least One P. Falciparum Infection in Infants * | ||
|---|---|---|---|
| No (n = 65) | Yes (n = 280) | p-Value | |
| Mothers | |||
| Married (n, %): | Yes: 64 (98.46) No: 1 (1.53) | Yes: 275 (98.21) No: 5 (1.78) | 0.893 a |
| Job (n, %): | Yes: 32 (49.23) No: 33 (50.77) | Yes: 118 (42.14) No: 162 (57.85) | 0.298 a |
| Number of infants, (median, Q1-Q3) | 2 (1–3) | 2 (1–4) | 0.071 a |
| Mother’s age (median, Q1-Q3) | 25 (22–28) | 25 (21.5–30) | 0.116 a |
| Infection during pregnancy (n, %): | Yes: 15 (23.07) No: 50 (76.92) | Yes: 87 (31.07) No: 193 (68.92) | 0.203 a |
| Infants | |||
| Birth weight (g, median, Q1-Q3) | 2950 (2710–3190) | 3030 (2810–3300) | 0.216 a |
| Sex (n, %): Male Female | 36 (55.38) 29 (44.61) | 147 (52.5) 133 (47.5) | 0.673 a |
| Ethnic group (n, %): Aïzo Fon Others | 42 (73.84) 12 (18.46) 11 (16.92) | 195 (69.64) 65 (23.21) 20 (7.14) | 0.041a |
| P. falciparum infections in infants: Mean number of infections Min-Max Parasite density (mean nb parasites/µL) | 0 | 4.44 1–16 9105.77 | 0.0001 a |
| Socio-economic Score c (mean ± SD) | 1.692 (1.08) | 1.646 (1.06) | 0.098 a |
| Bednet use score b (mean of use ± SD) | 3.62 (0.84) | 3.51 (0.86) | 0.315 a |
| Mosquito exposure (med of exposure, Q1–Q3) | 0.9 (0.6–1.2) | 1 (0.7–1.5) | 0.0001 a |
This table presents the characteristics of the group of infants according to the presence or not of at least one P. falciparum infection (* at least 18th months of follow-up). a Statistical significance determined using Mann-Whitney U-test or χ2 analysis. b Bednet use score: use of bednet defined from the proportion of “yes” to the question “Did the child sleep the night before under the net?”); 1/rare use, 2/infrequent use, 3/frequent use and 4/systematic use. c Socio-Economic score: coded from 0 to 4 corresponding to the sum of the responses 1/yes, 0/no for the following 4 indicators: electricity within the household; possession of a refrigerator, possession of a television set, possession of a two-wheeler. In bold: significant p value at the 0.05 threshold.
Table 2.
Distribution of FCGR2A and FCGR3B genotypes in the study group.
| Genetic Modification | Variation | Protein Variant | Genotype (Haplotype) n (%) | Minor Allele Frequency (%) | HWE Test a (p Value) | ||
|---|---|---|---|---|---|---|---|
| FCGR2A 494 A/G | rs1801274 | R131H | HH 58 (18.98) | RH 163 (53.09) | RR 86 (27.73) | H (45) | 1.52 (0.21) |
| FCGR3B | |||||||
| 108 G/C | rs403016 | R36S | GG [NA1] 83 (26.01) | GC 137 (42.94) | CC [NA2/SH] 99 (31.03) | G (47) | 6.15 (0.01) * |
| 114 C/T | rs447536 | synonymous coding (L38L) | CC [NA1] 82 (25.78) | CT 139 (43.71) | TT [NA2/SH] 97 (30.05) | C (47) | 4.88 (0.02) * |
| 194 A/G | rs448740 | N65S | AA [NA1] 66 (20.68) | AG 134 (42.00) | GG [NA2/SH] 119 (37.30) | A (42) | 5.90 (0.01) * |
| 197 G/T | rs374112391 | R66L | GG 5 (1.56) | GT 49 (15.36) | TT 265 (83.07) | G (9) | 2.29 (0.12) |
| 233 C/A | rs5030738 | A78D | CC [NA1/NA2] 217 (62.35) | CA 83 (23.85) | AA [SH] 18 (5.17) | A (19) | 6.41 (0.01) * |
| 244 A/G | rs147574249 | N82D | GG [NA1] 101 (31.66) | AG 127 (39.81) | AA [NA2/SH] 91 (28.52) | A (48) | 13.14 (<0.01) * |
| 297 G/T | rs368410676 | synonymous coding (P99P) | GG 292 (91.53) | GT 22 (6.89) | TT 5 (1.56) | T (5) | 24.33 (<0.01) * |
| 316 A/G | rs2290834 | I106V | GG [NA1] 37 (11.59) | GA 113 (35.42) | AA [NA2/SH] 169 (48.42) | G (29) | 6.72 (<0.01) * |
| 371 A/G | rs1373400409 | H124R | AA 53 (16.61) | GA 130 (40.75) | GG 136 (42.63) | A (37) | 5.04 (0.02) * |
a Hardy–Weinberg equilibrium test based on genotypic frequency results from the children’s DNA (n = χ2 (df = 2) * Significant p-value at 0.05 (p-value ≤ 0.05). Significant p-value indicated that there was deviation from HWE. Sample numbers varying from 307 (FcgRIIA 131R/H) to 318 (FCGR3B 114C>T and 233 C>A) and to 319 (other SNPs). Six polymorphisms of the FCGR3B gene (108G > C, 114C > T, 194 A > G, 233C > A, 244 G > A and 316G > A) encode for the FcgRIIIB-NA1, -NA2 and -SH variants.
Table 3.
Association between FcgRIIA 131 R/H and FCGR3B single SNPs and malaria infections. (A): FcgRIIA 131 R/H (c.497 G/A) and malaria infections. (B): FCGR3B 194 A > G, 297 G > T and malaria infections.
Table 3.
Association between FcgRIIA 131 R/H and FCGR3B single SNPs and malaria infections. (A): FcgRIIA 131 R/H (c.497 G/A) and malaria infections. (B): FCGR3B 194 A > G, 297 G > T and malaria infections.
| (A) | ||||
| n | IRR | CI 95% | p-Value | |
| Number of P. falciparum infections | ||||
| Genotypes | ||||
| RR | 86 | |||
| RH | 163 | 0.89 | 0.73; 1.09 | 0.272 |
| HH | 58 | 0.94 | 0.73; 1.21 | 0.649 |
| Alleles | ||||
| R | 0.95 | 0.76; 1.19 | 0.712 | |
| H | 0.92 | 0.76; 1.12 | 0.436 | |
| P. falciparum parasite density | ||||
| Genotypes | ||||
| RR | 86 | |||
| RH | 163 | 798.43 | −2662.13; 4259.00 | 0.651 |
| HH | 58 | −141.44 | −4602.44; 4319.54 | 0.950 |
| Alleles | ||||
| R | 289.88 | −3357.67; 3937.45 | 0.876 | |
| H | 669.48 | −2449.99; 3788.96 | 0.674 | |
| (B) | ||||
| n | IRR | CI 95% | p-Value | |
| Number of P. falciparum infections | ||||
| Genotypes | ||||
| FCGR3B 194 A/G | ||||
| GG | 119 | |||
| AG | 134 | 1.05 | 0.87; 1.28 | 0.553 |
| AA | 66 | 1.28 | 1.02; 1.61 | 0.027 |
| FCGR3B 297 G/T | ||||
| GG | 292 | |||
| GT | 22 | 0.73 | 0.50; 1.06 | 0.100 |
| TT | 5 | 0.46 | 0.21; 1.00 | 0.050 |
| Alleles | ||||
| FCGR3B 194 A/G | ||||
| A | 1.13 | 0.95; 1.35 | 0.157 | |
| G | 0.80 | 0.65; 0.97 | 0.029 | |
| FCGR3B 297 G/T | ||||
| G | 2.06 | 0.95; 4.47 | 0.067 | |
| T | 0.66 | 0.47; 0.93 | 0.018 | |
| Parasite density | ||||
| Genotypes | ||||
| FCGR3B 297 G/T | ||||
| GG | 292 | |||
| GT | 22 | −3984.73 | −9927.02; 1957.55 | 0.189 |
| TT | 5 | −8874.19 | −19,390.84; 1642.45 | 0.098 |
| Alleles | ||||
| FCGR3B 297 G/T | ||||
| G | 8656.59 | −1879.81; 19,193.01 | 0.100 | |
| T | −5134.44 | −10,382.69; 113.79 | 0.050 | |
(A) presents the mixed-effects Poisson regression model (number of P. falciparum infections) and the mixed-effects linear regression model (parasite density) obtained through the control variables of mother’s age (in years), child’s age (in months), sex, birth weight, ethnic group, socio-economic score, number of infants per mother, infection during pregnancy, mosquito exposure and bednet use. In bold: significant p-value ≤ 0.05 threshold. In the allelic model, the influence of the carriage of specific alleles is studied. (B) presents the mixed-effects Poisson regression model (number of P. falciparum infections) and the mixed-effects linear regression model (parasite density) obtained through the control variables of mother’s age (in years), child’s age (in months), sex, birth weight, ethnic group, socio-economic score, number of infants per mother, infection during pregnancy, mosquito exposure and bednet use. In bold: significant p-value ≤ 0.05 threshold. In the allelic model, the influence of the carriage of specific alleles is studied. Only significant (in bold) or significant trend (underlined) associations (at p-value ≤ 0.05) among FCGR3B SNPs are shown.
Table 4.
FCGR3B-combined SNPs, malaria infections and parasite density.
| (A) | ||||
| FCGR3B combined polymorphisms | ||||
| Number of infections | n | IRR | CI 95% | p-Value |
| FCGR3B*05 108C–114T–194A–233C–244A–316A | 11 | 2.44 | 1.23; 4.86 | 0.011 |
| FCGR3B*06 108C–114T–194G–233C–244G–316A | 140 | 0.58 | 0.37; 0.91 | 0.018 |
| Parasite density | Coef. | CI 95% | p-Value | |
| FCGR3B*05 108C–114T–194A–233C–244A–316A | 11 | 29,699.73 | 16,242.34; 43,157.13 | 0.0001 |
| FCGR3B*06 108C–114T–194G–233C–244G–316A | 140 | −10,373.26 | −20,409.75; −336.7668 | 0.043 |
| (B) | ||||
| Number of infections | n | IRR | CI 95% | p-Value |
| FCGR3B*03 108C–114T–194G–233A–244A–316A | 65 | 0.53 | 0.29; 0.95 | 0.035 |
(A) presents the FCRG3B-combined SNPs, for which only significant associations were found. A mixed-effects Poisson regression was used for the number of infections and a mixed-effects linear regression for the parasite density. The control variables of mother’s age (in years), child’s age (in months), sex, birth weight, ethnic group, socio-economic score, number of infants per mother, infection during pregnancy, mosquito exposure and bednet were used for the two models. (B) presents the mixed-effects Poisson regression for the number of infections regarding the carriage of FCGR3B*03 (encoding for FcgRIIIB-SH). The control variables of mother’s age (in years), child’s age (in months), sex, birth weight, ethnic group, socio-economic score, number of infants per mother, infection during pregnancy, mosquito exposure and bednet were used for the two models. In bold: significant p-value ≤ 0.05.
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Fall, A.K.D.J.; Courtin, D.; Adamou, R.; Edslev, S.; Hansen, A.; Domingo, N.; Christiansen, M.; Adu, B.; Milet, J.; Garcia, A.; et al. Fc Gamma Receptor IIIB NA1/NA2/SH Polymorphisms Are Associated with Malaria Susceptibility and Antibody Levels to P. falciparum Merozoite Antigens in Beninese Children. Int. J. Mol. Sci. 2022, 23, 14882. https://doi.org/10.3390/ijms232314882
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Fall AKDJ, Courtin D, Adamou R, Edslev S, Hansen A, Domingo N, Christiansen M, Adu B, Milet J, Garcia A, et al. Fc Gamma Receptor IIIB NA1/NA2/SH Polymorphisms Are Associated with Malaria Susceptibility and Antibody Levels to P. falciparum Merozoite Antigens in Beninese Children. International Journal of Molecular Sciences. 2022; 23(23):14882. https://doi.org/10.3390/ijms232314882
Chicago/Turabian StyleFall, Abdou Khadre Dit Jadir, David Courtin, Rafiou Adamou, Sofie Edslev, Anita Hansen, Nadia Domingo, Michael Christiansen, Bright Adu, Jacqueline Milet, André Garcia, and et al. 2022. "Fc Gamma Receptor IIIB NA1/NA2/SH Polymorphisms Are Associated with Malaria Susceptibility and Antibody Levels to P. falciparum Merozoite Antigens in Beninese Children" International Journal of Molecular Sciences 23, no. 23: 14882. https://doi.org/10.3390/ijms232314882
APA StyleFall, A. K. D. J., Courtin, D., Adamou, R., Edslev, S., Hansen, A., Domingo, N., Christiansen, M., Adu, B., Milet, J., Garcia, A., Theisen, M., Migot-Nabias, F., & Dechavanne, C. (2022). Fc Gamma Receptor IIIB NA1/NA2/SH Polymorphisms Are Associated with Malaria Susceptibility and Antibody Levels to P. falciparum Merozoite Antigens in Beninese Children. International Journal of Molecular Sciences, 23(23), 14882. https://doi.org/10.3390/ijms232314882
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