Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Beyond genome-wide scan: Association of a cis-regulatory NCR3 variant with mild malaria in a population living in the Republic of Congo

  • Sabrina Baaklini,

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Sarwat Afridi,

    Roles Data curation, Investigation, Methodology, Validation, Writing – review & editing

    Current address: Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Thy Ngoc Nguyen,

    Roles Data curation, Investigation, Methodology, Validation, Writing – review & editing

    Current address: University of Science and Technology of Hanoi (USTH), Vietnam Academy of Science and Technology (VAST), Hanoi, Vietnam

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Felix Koukouikila-Koussounda,

    Roles Data curation, Resources, Writing – review & editing

    Affiliations Fondation Congolaise pour la Recherche Médicale (FCRM), Villa D6, Cité OMS AFRO, Brazzaville, République du Congo, Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville, République du Congo

  • Mathieu Ndounga,

    Roles Data curation, Funding acquisition, Resources, Writing – review & editing

    Affiliation Unité de Recherche sur le Paludisme, Centre d’Etudes sur les Ressources Végétales (CERVE), Brazzaville, République du Congo

  • Jean Imbert,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Magali Torres,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Lydie Pradel,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

  • Francine Ntoumi,

    Roles Data curation, Funding acquisition, Resources, Writing – review & editing

    Affiliations Fondation Congolaise pour la Recherche Médicale (FCRM), Villa D6, Cité OMS AFRO, Brazzaville, République du Congo, Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville, République du Congo, Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany

  • Pascal Rihet

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Supervision, Validation, Writing – original draft, Writing – review & editing

    pascal.rihet@univ-amu.fr

    Affiliations INSERM, UMR1090 TAGC, Marseille, France, Aix-Marseille Université, Marseille, France

Beyond genome-wide scan: Association of a cis-regulatory NCR3 variant with mild malaria in a population living in the Republic of Congo

  • Sabrina Baaklini, 
  • Sarwat Afridi, 
  • Thy Ngoc Nguyen, 
  • Felix Koukouikila-Koussounda, 
  • Mathieu Ndounga, 
  • Jean Imbert, 
  • Magali Torres, 
  • Lydie Pradel, 
  • Francine Ntoumi, 
  • Pascal Rihet
PLOS
x

Abstract

Linkage studies have revealed a linkage of mild malaria to chromosome 6p21 that contains the NCR3 gene encoding a natural killer cell receptor, whereas NCR3-412G>C (rs2736191) located in its promoter region was found to be associated with malaria in Burkina Faso. Here we confirmed the association of rs2736191 with mild malaria in a Congolese cohort and investigated its potential cis-regulatory effect. Luciferase assay results indicated that rs2736191-G allele had a significantly increased promoter activity compared to rs2736191-C allele. Furthermore, EMSAs demonstrated an altered binding of two nuclear protein complexes to the rs2736191-C allele in comparison to rs2736191-G allele. Finally, after in silico identification of transcription factor candidates, pull-down western blot experiments confirmed that both STAT4 and RUNX3 bind the region encompassing rs2736191 with a higher affinity for the G allele. To our knowledge, this is the first report that explored the functional role of rs2736191. These results support the hypothesis that genetic variation within natural killer cell receptors alters malaria resistance in humans.

Introduction

Malaria caused by Plasmodium falciparum parasites remains a major global public health problem with 212 million new cases and 429 000 deaths in 2015 according to the WHO [1]. Sub-Saharan Africa accounted for most of these new cases and deaths (nearly 90%).

The contribution of host genetic variants to susceptibility to Plasmodium falciparum malaria has been widely studied since the discovery of the protective role of sickle cell mutation against malaria [24]. Indeed, malaria parasites have exerted strong selective pressure on the human genome in endemic areas, leading to the progressive accumulation of genetic adaptations in these populations [5]. Linkage and association studies have reported several associations between polymorphisms of candidate loci and various malaria-related phenotypes [6]. These phenotypes, which characterize malaria severity, include high parasitaemia, fever, anaemia and cerebral malaria.

Several linkage analyses conducted in different African ethnic groups provided evidence of linkage between the 6p21 locus and mild malaria [79]. In addition, several polymorphisms found under the linkage peak, and more precisely, within TNF, LTA and NCR3 genes, were independently associated with subphenotypes of mild malaria such as parasitaemia or mild malaria attack in Burkina Faso [1012]. Among those, several TNF and LTA polymorphisms have been characterized as cis-regulatory polymorphisms [1318]. However, the functional effect of the polymorphism located within the promoter of NCR3 gene (NCR3-412G>C, rs2736191), which encodes NKp30 receptor, was unknown.

The natural cytotoxicity receptor NKp30 (natural cytotoxicity triggering receptor 3, NCR3) has been identified to trigger NK-cell–mediated killing of several tumor cell lines [19], virus-infected cells [20], fungal cells [21], and also dendritic cells [22,23]. In patients with acute myeloid leukaemia, down-regulation of NKp30 expression has been shown to correlate with a decreased NK cells cytotoxicity [24]. Several studies provided evidences that NK cells directly and specifically interact with infected erythrocytes [2527] resulting in their killing through cytotoxic activity [2832] and this lysis may be triggered by the recognition of ligands expressed on parasitized RBC surface by NK cell receptors, among them NKp30 receptor [30,33]. Besides, NKp30 engagement at the NK cell surface can lead to the production of IFNγ, which has been shown to correlate with a reduced risk of mild malaria [34,35]. Therefore, polymorphisms that reduce NKp30 expression may increase the risk of mild malaria. Also, we hypothesized that the rs2736191-C allele associated with mild malaria in Burkina Faso binds less efficiently transcription factors recruited to the promoter, and that it diminishes the expression of its target gene. Here we investigated the cis-regulatory effect of rs2736191, and its association with mild malaria in a population living in the Republic of Congo, where there are limited human genetic data in relation with infectious diseases [36].

Materials and methods

Subjects and phenotypes

The study subjects have resided in Kinsana, Mbouono and Ngoko, three suburban areas close to each other and located in Makélékélé, one of the seven districts of Brazzaville (Congo) [37]. Three hundred and seventeen individuals were recruited between April and June 2010 and followed up during one year. Blood samples were collected at Makélékélé health division, which is located at 6km from the study area in the centre of the district; a written informed consent signed by the parents or legal guardians was obtained for the children. In this area, malaria is transmitted throughout the year with P. falciparum being the predominant species and Anopheles gambiae the main mosquito vector [38,39]. All the recruited individuals belonged to Bantu ethnicity, and were aged from one to nine years. Age mean was 4.34 (SD = 2.55), and sex ratio was 1.13 (167 Male and 148 Female). During the study period, if a child presented any symptoms related to clinical malaria, he was examined at the health center and treated in case of malaria episode (positive thick, thin blood smears and axillary temperature ≥37.5°C). Thick and thin blood smears were independently read by at least two trained biologists. The slides were read using an oil immersion lens at a 100x magnification. A slide was considered negative when no asexual parasite was observed after reading at least 100 thick fields. For positive results, asexual parasites were counted against at least 200 leucocytes and expressed as the number of asexual parasites per μl, assuming 8,000 leucocytes/μl of blood. The children who experienced at least one clinical malaria attack were classified in a group as mild malaria, whereas the children without any reported mild malaria episode in spite of the carriage of parasites during the follow-up period were considered as asymptomatic, as and were classified in a group as asymptomatic children. This led to determine a binary mild malaria phenotype. In addition, the number of malaria episodes was registered, and was considered as another phenotype. The ethical approval was given by the Institutional Ethics Committee for Research on Health Sciences of the Republic of Congo.

DNA extraction and rs2736191 genotyping

Genomic DNA was extracted from 200 μl of peripheral whole blood samples from patients and asymptomatic individuals using QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany); DNA samples were then amplified by Illustra GenomiPhi V2 DNA Amplification kit (GE Healthcare Life Sciences, Velizy-Villacoublay, France) following the manufacturer’s instructions. PCR amplification of DNA fragments containing rs2736191 with forward (5’-GATGGGTCTGGGTACTGGTG-3’) and reverse (5’-GGGATCTGAGCAGTGAGGTC-3’) primers was described by Delahaye et al. [10]. For RFLP analysis, the PCR product of rs2736191 was digested with 10 units of PfoI restriction endonuclease (Thermo Fisher Scientific, Waltham, MA, USA) at 37°C overnight. The digestion products were loaded on to Agilent DNA 1000 chips and analyzed on the 2100 Bioanalyzer, per manufacturer's instructions. Validation of the PCR-RFLP method was assessed by sequencing 37 PCR products of rs2736191 (corresponding to 37 individuals) on a Beckman coulter CEQ 8800 sequencer according to manufacturer’s protocol (Beckman Coulter, Brea, CA, USA). Three hundred and fifteen DNA samples of the 317 samples were successfully genotyped (S1 Table).

Statistical analysis

Hardy-Weinberg equilibrium was tested and allelic frequencies were calculated, as described [40]. To estimate the association of rs2736191 polymorphism with the binary mild malaria phenotype, we used a chi-square test. We further performed a logistic regression analysis to evaluate the odds ratios (OR) and their 95% confidence intervals (CIs). Moreover, we assessed the association of the investigated SNP with the number of episodes by a Kruskal and Goodman’s gamma test and the Poisson regression method. To assess the effect of the SNP on the promoter activity, Student’s t-test was used after checking the normality of the distributions by using the Shapiro-Wilk method and their variance equality by using a Fisher test. All analyses were performed by using either R or SPSS software (SPSS, Boulogne, France). Only terms significant at the 5% level were retained.

NCR3 linkage disequilibrium analyzes

To evaluate the linkage disequilibrium status of the region where rs2736191 is located, we explored the 1000 Genome Project data [41] for the Yoruba population through Ensembl browser [42].

Cell culture

Human NK92 cells (ATCC, Manassas, VA, USA, ATCC® CRL-2407™) were cultured in alpha MEM (Thermo Fisher Scientific, Waltham, MA, USA), supplemented with 12.5% horse serum, 12.5% fetal calf serum (FCS), 2 mM L-glutamine, 1.5 g/l sodium bicarbonate, 0.2 mM inositol, 0.1 mM 2-mercaptoethanol, 0.02 mM folic acid and 100 U/ml recombinant IL-2 (PeproTech Inc., Rocky Hill, NJ, USA). K-562 cells (ATCC® CLL-243™) were grown in Gibco® RPMI 1640 medium (Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 20% fetal bovine serum.

Luciferase assay

A 663bp DNA fragment upstream the NCR3 translation start site (chromosome 6: 31592727–31593389 according to the hg38 assembly) was cloned by “Sticky end PCR Cloning” method. Briefly, two PCR were performed on human gDNA from NK92 cell line using Herculase II Fusion enzyme (Agilent Technologies, Santa Clara, CA, USA, cat# 600679): PCR1 with the forward primer (CGCGTACCCAACCAAACACA) and the reverse primer (GAAGATGTCCCAGTTGGCGA), and PCR2 with the forward primer (TACCCAACCAAACACACACA) and the reverse primer (TCGAGAAGATGTCCCAGTTG). The PCR products from PCR1 and PCR2 were mixed and hybridized together to create a 663pb DNA fragment with XhoI and MluI sticky end. This fragment was cloned into the MluI-XhoI sites of pGL3-Enhancer Vector (Promega, Madison, WI, USA, cat# E1771,), which contained the firefly luciferase coding sequence. Initially, the pGL3 construct obtained, presented the G allele of rs2736191. To obtain the pGL3 construct containing the rs2736191-C allele, site-directed mutagenesis using the Q5 Site-Directed Mutagenesis Kit (New England Biolabs, Ipswich, MA, USA, cat#E0554S) was performed with primers designed by NEBaseChanger tool provided by the supplier (forward: AGGGCTCCTGcAGGCTTGTTC, reverse: CCTTGGCCCAGAAGCTAAC, annealing temperature: 67°C). K562 transfection was performed with Neon™ Transfection System (Invitrogen) following constructor instructions. For each out of the 6 tests performed, 106 cells were co-transfected with 1 μg of control vector (empty pGL3-Enhancer vector) or with 1μg of tested construction (pGL3-Enhancer vector containing the rs2736191-G (p-G) or rs2736191-C (p-C) NCR3 promoter) and 200ng of pRL-SV40 (a plasmid encoding Renilla luciferase from Promega), which was used as a transfection efficiency control. Transfected cells were maintained at 37°C in 5% CO2 during 24h. Firefly and Renilla luciferase values were obtained by analyzing 20μl of cell lysate according to standard instructions provided in the Dual Luciferase Kit (Promega cat# E1910) in a TriStar LB 941 Multimode Microplate Reader (Berthold technologies, Thermo Fisher Scientific, Waltham, MA, USA). The firefly luciferase activity of each sample was normalized by Renilla luciferase activity and adjusted by pGL3-enhancer mean activity.

Electrophoretic mobility shift assay

NK92 nuclear extracts were prepared with the NE-PER Nuclear and Cytoplasmic Extraction Reagents (Thermo Fisher Scientific, Thermo Fisher Scientific, Waltham, MA, USA). Oligonucleotides were designed based on the genomic sequence surrounding rs2736191; the SNP position is shown in bold: 5’-biotin- GGAGGGCTCCTGG/CAGGCTTGTTCTGG. All oligonucleotides were ordered from Eurofins (Eurofins, Strasbourg, France). We performed gel mobility shift assays with the LightShift Chemiluminescent EMSA Kit (Thermo Fisher Scientific) according to the manufacturer’s protocol. For competition assays, 200 or 400-fold excess unlabelled double-stranded variant oligonucleotides were incubated with the extracts (23°C, 30 min) before probe addition. Bound complexes were separated on 6% polyacrylamide gels and blotted onto membrane. The blot was processed with a streptavidin-horseradish peroxidase conjugate-based detection method.

In-silico identification of transcription factors candidates

An in silico prediction of transcription factor (TFs) candidates was performed using ReMap [43] and ENCODE catalogs of ChIP-seq peaks in lymphocyte cells. To detect a co-localization between these transcription factors binding sites and SNPs, we visualized the TFs ChIP-seq peaks in the UCSC Genome browser [44]. Then, to select TFs candidates, for which the peak of ChIP-seq co-localized with the SNP of interest we retained those with the maximum signal represented in black in the UCSC genome browser for the ENCODE catalog [45]. In the case of ReMap catalogs (2013 unpublished and [43]), we retained all the TFs, for which the peak of ChIP-seq co-localized with the SNP.

DNA pulldown and Western blot assays

DNA pulldown assay was performed as described previously [46]. Briefly, complementary TEG-biotinylated oligonucleotides encompassing the rs2736191-G/C binding site, GGAGGGCTCCTGG/CAGGCTTGTTCTGG (the critical SNP is in bold), were annealed to form dsDNA. TEG-biotinylated dsDNA (2 μg) was conjugated to 100 μl streptavidin-bound magnetic beads (Thermo Fisher Scientific, Thermo Fisher Scientific, Waltham, MA, USA, Dynabeads, M280; Dynal) in binding/washing buffer (10 mM Tris–HCl [pH 8], 1 mM EDTA, and 0.1 M NaCl) for 30 min at room temperature. Conjugated DNA was collected with a magnetic particle concentrator. DNA-conjugated beads were then blocked with 0.5% BSA in TGEDN buffer (120 mM Tris–HCl [pH 8], 1 mM EDTA, 0.1 M NaCl, 1 mM DTT, 0.1% Triton X-100, and 10% glycerol) at room temperature for 1 h. Beads were washed in TGEDN buffer and resuspended in 50 μl TGEDN. Ten-microliter beads conjugated to 2 μg DNA were equilibrated with TGEDN buffer and incubated with 500 μg NK92 nuclear extracts and 20 μg herring sperm DNA (Sigma-Aldrich, Saint-Louis, MO, USA) at 4°C overnight. Beads were washed in TGEDN buffer, and bound materials were eluted in 20 μl of the same buffer supplemented with 0.5% SDS and 1 M NaCl.

The eluted proteins were separated by 10% SDS-polyacrylamide gel and transferred electrophoretically to a PVDF membrane. The membrane was then blocked in a 5% nonfat dry milk/Tris-buffered solution and incubated with primary antibody overnight. For STAT4, STAT5A, STAT5B detection a 1:250 dilution of an anti-STAT4 rabbit polyclonal antibody (sc-489, Santa Cruz Biotechnology Inc., Dallas, Texas, USA), anti-STAT5A rabbit polyclonal antibody (sc-1081, Santa Cruz Biotechnology Inc, Dallas, Texas, USA), or an anti-STAT5B mouse monoclonal antibody (sc-1656, Santa Cruz Biotechnology Inc.) was used. For STAT3 and EGR1 detection, a 1:500 dilution of an anti-STAT3 mouse monoclonal antibody (sc-8059, Santa Cruz Biotechnology Inc.) or an anti-EGR1 rabbit polyclonal antibody (sc-189, Santa Cruz Biotechnology Inc.) was used. And for RUNX3 detection a 1:1000 dilution of an anti-RUNX3 mouse monoclonal antibody was used (ab40278, Abcam, Cambridge, UK). The unbound primary antibody was removed by washing the membrane with 0.1% Tween/Tris-buffered solution, followed by incubation with horseradish peroxidase-conjugated secondary antibody diluted at 1:10000 in 0.5% nonfat dry milk/Tween/Tris-buffered solution. Proteins were visualized using ECL (GE Healthcare Life Science, Velizy-Villacoublay, France).

Results

Association of rs2736191 with mild malaria and the number of episodes

Three hundred and fifteen individuals were successfully genotyped. The observed genotype frequencies conformed to the Hardy-Weinberg equilibrium (P = 0.5086). The allelic frequencies for the rs2736191-G and rs2736191-C alleles were 0.73 and 0.27, respectively.

To assess the association of rs2736191 polymorphism with mild malaria in the study population, we performed a Chi-square test with 1df and a logistic regression analysis. We further evaluated the odds ratios and their 95% confidence intervals. Among the 315 individuals genotyped, 176 presented at least one malaria attack during the study (Table 1). We found that carriers of the rs2736191-C allele had a significantly higher risk of mild malaria attack without age as a covariate (P = 0.033), and with age as a covariate (P = 0,029) (Table 2). We further looked at the age distribution in the study population. Fifty-three % of the individuals were under 5 years old (Table 3). Thus, we splitted the population into two groups (subjects under 5 years and subjects over 5 years), and tested an interaction between Age and rs2736191. There was a significant interaction (P = 0.001; OR = 2.80, 95% confidence interval 1.53–5.12), indicating that subjects under 5 years and subjects over 5 years differed in the effect of rs2736191. Thus, we conducted an analysis after stratifying individuals by age categories. For the over-5 sub-population, there was a significant association between the rs2736191-C allele and mild malaria attack with a better p-value (P = 0.008) (Table 2), whereas there was no longer an association for the under-5 sub-population.

thumbnail
Table 3. Repartition of rs2736191 polymorphism in the study population according to age.

https://doi.org/10.1371/journal.pone.0187818.t003

Furthermore, we tested the correlation between rs2736191 genotype and the number of mild malaria episodes (Tables 4, and S2 and S3 Tables) using Kruskal and Goodman’s gamma test. We found that rs2736191-C allele was significantly associated with an increased number of episodes (P = 0.036). In addition, we used the Poisson regression to assess the correlation between rs2736191 genotype and the number of mild malaria episodes, after taking into account age. The association was no longer significant (P = 0.087). We also performed an analysis after stratifying by age categories (<5 years and ≥5 years) and detected a significant association between the rs2736191-C carriage and an increased number of episode in the over-5 sub-population (P = 0.006), whereas there was no longer an association for the under-5 sub-population (P = 0,69). We confirmed the association of rs2736191 with the number of mild malaria episodes for the over-5 sub-population by using the Poisson regression when taking into account age (P = 0.020).

thumbnail
Table 4. Proportion of mild malaria episodes according to rs2736191 polymorphism.

https://doi.org/10.1371/journal.pone.0187818.t004

rs2736191 affects NCR3 expression

To examine whether the rs2736191 G>C affects NCR3 promoter activity; we performed six gene reporter assays in K-562 cells. As shown in Fig 1, the transcriptional activity driven by the p-C construct containing the rs2736191-C allele decreased nearby 37% compared with that driven by the p-G construct containing the rs2736191-G allele (P = 0.00762).

thumbnail
Fig 1. rs2736191 polymorphism affects NCR3 expression.

Luciferase reporter gene assays with constructs containing the rs2736191-G (p-G) or rs2736191-C (p-C) NCR3 promoter in K-562 cell line. All constructs were co-transfected with pRL-SV40 to standardize transfection efficiency and luciferase activity for each sample was adjusted by the empty pGL3-Enhancer. Fold increase was measured by defining the activity of p-G vector as 1. Data shown are the means ± SE from 2 independent transfection experiments, each performed in triplicate. The rs2736191-G-containing NCR3 promoter drove significantly higher reporter gene expression (~37%) than the rs2736191C-containing NCR3 promoter (P < 0.05, as shown in the Figure). Statistical analysis was performed using two-tailed Student’s t-test after controlling the normality of the data and the equality of their variance.

https://doi.org/10.1371/journal.pone.0187818.g001

Effect of rs2736191 polymorphism on transcription factors binding to the promoter

The cis-regulatory effect of rs2736191 polymorphism on transcription factors binding was tested through an EMSA. Two major DNA-protein complexes were revealed, as shown in Fig 2. To assess if these 2 complexes bind specifically and preferentially one of the two variants, we performed competition assay with an increasing amount of non-labelled probes containing either the C or the G allele. Both complexes appeared to have a stronger affinity for the G allele as only the rs2736191-G unlabelled probe abolished very efficiently the binding of these complexes compared to the rs2736191-C unlabelled probe (Fig 2).

thumbnail
Fig 2. Effect of rs2736191 polymorphism on transcription factors binding.

EMSA with biotin-labelled probes containing the G allele of rs2736191 and incubated with NK92 nuclear extracts. Competition was performed with 200x (lane 3 and 5) or 400x (lane 4 and 6) excess of double-stranded DNA containing either the G or the C variants. Two arrows indicate two specific nuclear proteins that interact with rs2736191-G probe. The G variant was more effective in competing these two nuclear proteins compared to the C variant.

https://doi.org/10.1371/journal.pone.0187818.g002

STAT4 and RUNX3 bindings are altered by rs2736191 polymorphism

An in silico prediction of transcription factor candidates using ReMap and Encode catalogs of ChIP-seq peaks in lymphocyte cells was performed and visualized in the UCSC Genome browser. We explore the co-localization of ChIP-seq peaks with rs2736191 and the SNPs in strong linkage disequilibrium with it. The SNP exhibiting the strongest linkage disequilibrium with rs2736191 was rs2256974 (r2 = 0.699). Rs2256974 is located in a non-conserved region with neither DNAse1 footprinting nor H3K27Ac mark co-localization and without evidence of transcription factors binding site, in contrast to rs2736191 polymorphism. Indeed, rs2736191 was co-localized with STATs family members (ReMap catalog) and SP1, RUNX3, EGR1, EBF1 (ENCODE catalog) transcription factors. As SP1 and EBF1 signals were quite low, we selected STATs family members, RUNX3 and EGR1 for further in vitro analysis.

Thus, we pulled-down NK92 nuclear proteins that bound a 26 bp double-stranded biotinylated probe containing either the rs2736191-C or rs2736191-G variant using streptavidin-magnetic beads. We further analyzed the bound proteins by performing a western-blot with antibodies directed against STATs, RUNX3 and EGR1.

We did not observe a binding of STAT3, STAT5A, STAT5B and EGR1 transcription factors to the sequence containing the rs2736191 polymorphism (data not shown). In contrast, we evidenced that RUNX3 and STAT4 bound the sequence containing the rs2736191 polymorphism, and that the binding to the one presenting the G allele was stronger when compared to the one presenting the C allele (Fig 3).

thumbnail
Fig 3. Differential binding of transcription factor candidates to rs2736191 polymorphism.

DNA pull-down assay was performed with nuclear extracts prepared from NK92 cells and complementary biotinylated oligonucleotides encompassing the rs2736191-G/C binding sites. After the incubation, the nuclear protein bound were isolated using magnetic beads coupled with streptavidin and subjected to 12% SDS-PAGE and Western blotting for the transcription factors STAT4 and RUNX3. The strongest intensity obtained with the G probe, for both STAT4 and RUNX3, suggests a preferential binding of these transcription factors in presence of this allele compared to the rs2736191-C allele.

https://doi.org/10.1371/journal.pone.0187818.g003

Discussion

We have previously evidenced a genome-wide significant linkage of mild malaria with chromosome 6p21, which contains NCR3 encoding for the Nkp30 receptor [7], and detected a genetic association between rs2736191 polymorphism (located in NCR3 promoter region) and mild malaria in the same Burkinabe population [10]. The location of the SNP within the promoter suggested that this SNP is a cis-regulatory variant controlling NCR3 expression. In this study, we thus evaluated the association between rs2736191 and mild malaria in a Congolese cohort and assessed its cis-regulatory effect.

We found that rs2736191-C carriers had a significant increased number of mild malaria episodes compared to the non-carriers. In the case of the affected vs. unaffected phenotype, the multivariate logistic regression analysis revealed that, as well as the study in Burkina Faso [10], rs2736191 polymorphism was significantly associated with the uncomplicated form of malaria. It should be stressed, nevertheless, that the present study in Congo was based on a passive follow up, whereas the study in Burkina Faso was based on an active follow-up; also, the passive follow-up can be considered a limit of the present study. In spite of this limit, the odds ratio obtained for the over-5 population was very close to the odd-ratio obtained in the Burkinabe population (OR = 2.59 and OR = 2.93, respectively), which was mainly composed of children over-5 years of age.

Luciferase assays performed in K-562 cells expressing NCR3 mRNA [47] further supported a functional role of this SNP. Indeed, we observed that the p-G construct presenting rs2736191-G allele had a 37% increased promoter activity compared to the p-C construct presenting rs2736191-C allele. Furthermore, gel shift experiments, performed with NK92 nuclear protein extracts, showed an increased binding affinity of the rs2736191-G allele to two nuclear protein complexes compared to the rs2736191-C allele.

On the basis of bioinformatic analyses, we identified several transcription factor candidates corresponding to these complexes. Furthermore, pull-down western-blot experiment confirmed that both STAT4 and RUNX3 bound the region encompassing rs2736191 with a higher affinity for the G allele. STAT4 is essential for IL-12 mediated cytotoxicity and IFNγ production in mouse and human NK cells [48] and a direct binding to perforin promoter has already been reported in human NK cells [49]. Concerning RUNX3 transcription factor, it is highly expressed in natural killer cells [50] but few is known about its function in these cells. Nevertheless, Levanon et al. have shown that, in mice, RUNX3 cooperation with ETS and T-box transcription factors regulates the interleukin-15-mediated transcription program during activation of Natural Killer cells [51]. Most of the time, the three NCR1, NCR2, and NCR3 were shown to be co-expressed, suggesting a co-regulation of the three NCRs, whereas a reduced expression of the three NCRs has been associated with impaired NK cytolytic function [52,53]. Moreover, RUNX3 has been shown to also regulate NCR1 expression [54] and ETS-1 transcription factor was also shown to bind to a specific and common region in the NCRs promoters [55]. Our results further support that RUNX3 can be one of these key regulatory factors that sustain the coordinated regulation of three NCRs.

The role of NK cells in malaria has been extensively investigated evoking either their cytokine production function [27,56,57] or their cytotoxic response to infected red blood cells [2833]. According to Mavoungou et al. [30,33], the mechanism underlying NK cells cytotoxicity in Plasmodium falciparum malaria, is the recognition of the DBL1α domain of the parasitic antigen PfEMP1 by the NKp30 activating receptor, resulting in parasitized red blood cells lysis. All together these results support the biological model involving NKp30 receptor in the cytotoxic response to parasitized RBC. However, NK cell receptors and infected RBC ligands leading to this cytotoxic response remains controversial. Indeed, PfEMP1 that is known to bind several other molecules such as ICAM-1, complement receptor 1 (CR1), heparan sulfate (HS), chondroitin sulfate A (CSA) and CD36 [58], have failed to activate NK cell cytotoxicity in other studies [26,59]. Nevertheless, in the first study the authors tested the interaction between PfEMP1 and CSA, while in the second study, authors have looked for NK cytotoxicity markers after 6 hours of co-culture with either infected red blood cells (iRBC) expressing PfEMP1 or iRBC not expressing PfEMP1 arguing that the ligand density of native PfEMP1 on the surface of iRBC is not enough to activate NK cells cytotoxicity compared to in vitro high concentration of peptidic DBL-1α as proposed by Mavoungou et al. [33]. Though, because of its binding abilities with various receptors, its diversity and its variable density on iRBC [60,61], involvement of PfEMP1 and its interactors on NK cells surface merits further investigation.

Besides, other ligands and receptors have been proposed to be involved in the cytotoxic response of NK cells, among them, Hsp70, which is a “self” stress ligand [62] or LFA-1, which is a molecule essential for stable contact with target cells [29,63]. As triggering of at least two activating receptors is essential for efficient NK cells cytotoxicity and cytokine release [64], a synergistic effect also suggested by Mavoungou et al. [33] in a malarial context, these results do not seems contradictory. However, this synergistic activation requires further investigation.

In conclusion, we replicated and extended the association of rs2736191 with mild malaria in an independent population living in Central Africa. Moreover, we evidenced its effect on the promoter activity and on the binding of nuclear proteins, including transcription factors, such as STAT4 and RUNX3. These results support the hypothesis that rs2736191 alters the activation of NK cells, and thus influences human malaria resistance.

Supporting information

S2 Table. Proportion of mild malaria episodes according to rs2736191 for children under 5 years.

https://doi.org/10.1371/journal.pone.0187818.s002

(PDF)

S3 Table. Proportion of mild malaria episodes according to rs2736191 for children over 5 years.

https://doi.org/10.1371/journal.pone.0187818.s003

(PDF)

Acknowledgments

We thank all the individuals for participating in the study. We thank Laurence Zitvogel and Nicolas Delahaye for help with promoter cloning, Regis Costello and Celine Baier for helpful discussions, and Laurence Borge for assistance and the use of the cell culture facility (CRCM U1068, Marseille).

References

  1. 1. World Health Organization. World Malaria Report 2015. World Health Organization; 2016.
  2. 2. Hill AV, Allsopp CE, Kwiatkowski D, Anstey NM, Twumasi P, Rowe PA, et al. Common west African HLA antigens are associated with protection from severe malaria. Nature. 1991;352: 595–600. pmid:1865923
  3. 3. Allison AC. Protection Afforded by Sickle-cell Trait Against Subtertian Malarial Infection. BMJ. 1954;1: 290–294. pmid:13115700
  4. 4. Ackerman H, Usen S, Jallow M, Sisay-Joof F, Pinder M, Kwiatkowski DP. A comparison of case-control and family-based association methods: the example of sickle-cell and malaria. Ann Hum Genet. 2005;69: 559–565. pmid:16138914
  5. 5. Kwiatkowski DP. How malaria has affected the human genome and what human genetics can teach us about malaria. Am J Hum Genet. 2005;77: 171–192. pmid:16001361
  6. 6. Hill AV. Genetics and genomics of infectious disease susceptibility. Br Med Bull. 1999;55: 401–413. pmid:10723865
  7. 7. Brisebarre A, Kumulungui B, Sawadogo S, Atkinson A, Garnier S, Fumoux F, et al. A genome scan for Plasmodium falciparum malaria identifies quantitative trait loci on chromosomes 5q31, 6p21.3, 17p12, and 19p13. Malar J. 2014;13: 198. pmid:24884991
  8. 8. Jepson A, Sisay-Joof F, Banya W, Hassan-King M, Frodsham A, Bennett S, et al. Genetic linkage of mild malaria to the major histocompatibility complex in Gambian children: study of affected sibling pairs. BMJ. 1997;315: 96–97. pmid:9240049
  9. 9. Flori L, Sawadogo S, Esnault C, Delahaye NF, Fumoux F, Rihet P. Linkage of mild malaria to the major histocompatibility complex in families living in Burkina Faso. Hum Mol Genet. 2003;12: 375–378. pmid:12566384
  10. 10. Delahaye NF, Barbier M, Fumoux F, Rihet P. Association analyses of NCR3 polymorphisms with P. falciparum mild malaria. Microbes Infect. 2007;9: 160–166. pmid:17208487
  11. 11. Barbier M, Delahaye NF, Fumoux F, Rihet P. Family-based association of a low producing lymphotoxin-α allele with reduced Plasmodium falciparum parasitemia. Microbes Infect. 2008;10: 673–679. pmid:18457972
  12. 12. Flori L, Delahaye NF, Iraqi FA, Hernandez-Valladares M, Fumoux F, Rihet P. TNF as a malaria candidate gene: polymorphism-screening and family-based association analysis of mild malaria attack and parasitemia in Burkina Faso. Genes Immun. 2005;6: 472–480. pmid:15931230
  13. 13. Kiss-Toth E, Harlock E, Lath D, Quertermous T, Wilkinson JM. A TNF variant that associates with susceptibility to musculoskeletal disease modulates thyroid hormone receptor binding to control promoter activation. PLoS One. 2013;8: e76034. pmid:24069456
  14. 14. Knight JC, Keating BJ, Rockett KA, Kwiatkowski DP. In vivo characterization of regulatory polymorphisms by allele-specific quantification of RNA polymerase loading. Nat Genet. 2003;33: 469–475. pmid:12627232
  15. 15. Kroeger KM, Carville KS, Abraham LJ. The -308 tumor necrosis factor-alpha promoter polymorphism effects transcription. Mol Immunol. 1997;34: 391–399. pmid:9293772
  16. 16. Wilson AG, Symons JA, McDowell TL, McDevitt HO, Duff GW. Effects of a polymorphism in the human tumor necrosis factor alpha promoter on transcriptional activation. Proc Natl Acad Sci U S A. 1997;94: 3195–3199. pmid:9096369
  17. 17. Karimi M, Goldie LC, Cruickshank MN, Moses EK, Abraham LJ. A critical assessment of the factors affecting reporter gene assays for promoter SNP function: a reassessment of -308 TNF polymorphism function using a novel integrated reporter system. Eur J Hum Genet. 2009;17: 1454–1462. pmid:19471307
  18. 18. Kaluza W, Reuss E, Grossmann S, Hug R, Schopf RE, Galle PR, et al. Different transcriptional activity and in vitro TNF-alpha production in psoriasis patients carrying the TNF-alpha 238A promoter polymorphism. J Invest Dermatol. 2000;114: 1180–1183. pmid:10844563
  19. 19. Pende D, Parolini S, Pessino A, Sivori S, Augugliaro R, Morelli L, et al. Identification and molecular characterization of NKp30, a novel triggering receptor involved in natural cytotoxicity mediated by human natural killer cells. J Exp Med. 1999;190: 1505–1516. pmid:10562324
  20. 20. Golden-Mason L, Cox AL, Randall JA, Cheng L, Rosen HR. Increased natural killer cell cytotoxicity and NKp30 expression protects against hepatitis C virus infection in high-risk individuals and inhibits replication in vitro. Hepatology. 2010;52: 1581–1589. pmid:20812318
  21. 21. Li SS, Kyei SK, Timm-McCann M, Ogbomo H, Jones GJ, Shi M, et al. The NK receptor NKp30 mediates direct fungal recognition and killing and is diminished in NK cells from HIV-infected patients. Cell Host Microbe. 2013;14: 387–397. pmid:24139398
  22. 22. Simhadri VR, Reiners KS, Hansen HP, Topolar D, Simhadri VL, Nohroudi K, et al. Dendritic cells release HLA-B-associated transcript-3 positive exosomes to regulate natural killer function. PLoS One. 2008;3: e3377. pmid:18852879
  23. 23. Ferlazzo G, Tsang ML, Moretta L, Melioli G, Steinman RM, Münz C. Human dendritic cells activate resting natural killer (NK) cells and are recognized via the NKp30 receptor by activated NK cells. J Exp Med. 2002;195: 343–351. pmid:11828009
  24. 24. Costello RT, Sivori S, Marcenaro E, Lafage-Pochitaloff M, Mozziconacci M-J, Reviron D, et al. Defective expression and function of natural killer cell-triggering receptors in patients with acute myeloid leukemia. Blood. 2002;99: 3661–3667. pmid:11986221
  25. 25. Artavanis-Tsakonas K, Eleme K, McQueen KL, Cheng NW, Parham P, Davis DM, et al. Activation of a subset of human NK cells upon contact with Plasmodium falciparum-infected erythrocytes. J Immunol. 2003;171: 5396–5405. pmid:14607943
  26. 26. Baratin M, Roetynck S, Pouvelle B, Lemmers C, Viebig NK, Johansson S, et al. Dissection of the role of PfEMP1 and ICAM-1 in the sensing of Plasmodium-falciparum-infected erythrocytes by natural killer cells. PLoS One. 2007;2: e228. pmid:17311092
  27. 27. Korbel DS, Newman KC, Almeida CR, Davis DM, Riley EM. Heterogeneous human NK cell responses to Plasmodium falciparum-infected erythrocytes. J Immunol. 2005;175: 7466–7473. pmid:16301654
  28. 28. Hermsen CC, Konijnenberg Y, Mulder L, Loé C, Van Deuren M, Van Der Meer JWM, et al. Circulating concentrations of soluble granzyme A and B increase during natural and experimentalPlasmodium falciparuminfections. Clinical & Experimental Immunology. 2003;132: 467–472.
  29. 29. Chen Q, Amaladoss A, Ye W, Liu M, Dummler S, Kong F, et al. Human natural killer cells control Plasmodium falciparum infection by eliminating infected red blood cells. Proceedings of the National Academy of Sciences. 2014;111: 1479–1484.
  30. 30. Mavoungou E, Luty AJF, Kremsner PG. Natural killer (NK) cell-mediated cytolysis of Plasmodium falciparum-infected human red blood cells in vitro. Eur Cytokine Netw. 2003;14: 134–142. pmid:14656686
  31. 31. Orago AS, Facer CA. Cytotoxicity of human natural killer (NK) cell subsets for Plasmodium falciparum erythrocytic schizonts: stimulation by cytokines and inhibition by neomycin. Clin Exp Immunol. 1991;86: 22–29. pmid:1833100
  32. 32. Bouyou-Akotet MK, Issifou S, Meye JF, Kombila M, Ngou-Milama E, Luty AJF, et al. Depressed natural killer cell cytotoxicity against Plasmodium falciparum-infected erythrocytes during first pregnancies. Clin Infect Dis. 2004;38: 342–347. pmid:14727203
  33. 33. Mavoungou E, Held J, Mewono L, Kremsner PG. A Duffy binding-like domain is involved in the NKp30-mediated recognition of Plasmodium falciparum-parasitized erythrocytes by natural killer cells. J Infect Dis. 2007;195: 1521–1531. pmid:17436233
  34. 34. Luty AJ, Lell B, Schmidt-Ott R, Lehman LG, Luckner D, Greve B, et al. Interferon-gamma responses are associated with resistance to reinfection with Plasmodium falciparum in young African children. J Infect Dis. 1999;179: 980–988. pmid:10068595
  35. 35. Dodoo D, Omer FM, Todd J, Akanmori BD, Koram KA, Riley EM. Absolute levels and ratios of proinflammatory and anti-inflammatory cytokine production in vitro predict clinical immunity to Plasmodium falciparum malaria. J Infect Dis. 2002;185: 971–979. pmid:11920322
  36. 36. Koukouikila-Koussounda F, Ntoumi F. Malaria epidemiological research in the Republic of Congo. Malar J. 2016;15: 598. pmid:28010728
  37. 37. Koukouikila-Koussounda F, Ntoumi F, Ndounga M, Tong HV, Abena A-A, Velavan TP. Genetic evidence of regulatory gene variants of the STAT6, IL10R and FOXP3 locus as a susceptibility factor in uncomplicated malaria and parasitaemia in Congolese children. Malar J. 2013;12: 9. pmid:23297791
  38. 38. Ndounga M, Pembe Issamou Mayengue, Casimiro PN, Koukouikila-Koussounda F, Bitemo M, Diassivy Matondo B, et al. Artesunate-amodiaquine versus artemether-lumefantrine for the treatment of acute uncomplicated malaria in Congolese children under 10 years old living in a suburban area: a randomized study. Malar J. 2015;14: 423. pmid:26511848
  39. 39. Trape JF, Zoulani A. Malaria and urbanization in central Africa: the example of Brazzaville. Part II: Results of entomological surveys and epidemiological analysis. Trans R Soc Trop Med Hyg. 1987;81 Suppl 2: 10–18.
  40. 40. Rodriguez S, Gaunt TR, Day INM. Hardy-Weinberg equilibrium testing of biological ascertainment for Mendelian randomization studies. Am J Epidemiol. 2009;169: 505–514. pmid:19126586
  41. 41. 1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, et al. A global reference for human genetic variation. Nature. 2015;526: 68–74. pmid:26432245
  42. 42. Aken BL, Achuthan P, Akanni W, Amode MR, Bernsdorff F, Bhai J, et al. Ensembl 2017. Nucleic Acids Res. 2017;45: D635–D642. pmid:27899575
  43. 43. Griffon A, Barbier Q, Dalino J, van Helden J, Spicuglia S, Ballester B. Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape. Nucleic Acids Res. 2015;43: e27. pmid:25477382
  44. 44. Kent WJ. The Human Genome Browser at UCSC. Genome Res. 2002;12: 996–1006. pmid:12045153
  45. 45. Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, et al. ENCODE data in the UCSC Genome Browser: year 5 update. Nucleic Acids Res. 2013;41: D56–63. pmid:23193274
  46. 46. Chung EY, Liu J, Zhang Y, Ma X. Differential expression in lupus-associated IL-10 promoter single-nucleotide polymorphisms is mediated by poly(ADP-ribose) polymerase-1. Genes Immun. 2007;8: 577–589. pmid:17703177
  47. 47. Srivastava BIS, Srivastava MD. Expression of natural cytotoxicity receptors NKp30, NKp44, and NKp46 mRNAs and proteins by human hematopoietic and non-hematopoietic cells. Leuk Res. 2006;30: 37–46. pmid:16061284
  48. 48. Wang KS, Frank DA, Ritz J. Interleukin-2 enhances the response of natural killer cells to interleukin-12 through up-regulation of the interleukin-12 receptor and STAT4. Blood. 2000;95: 3183–3190. pmid:10807786
  49. 49. Yamamoto K, Shibata F, Miyasaka N, Miura O. The human perforin gene is a direct target of STAT4 activated by IL-12 in NK cells. Biochem Biophys Res Commun. 2002;297: 1245–1252. pmid:12372421
  50. 50. Ohno S-I, Sato T, Kohu K, Takeda K, Okumura K, Satake M, et al. Runx proteins are involved in regulation of CD122, Ly49 family and IFN-gamma expression during NK cell differentiation. Int Immunol. 2008;20: 71–79. pmid:18003603
  51. 51. Levanon D, Negreanu V, Lotem J, Bone KR, Brenner O, Leshkowitz D, et al. Transcription factor Runx3 regulates interleukin-15-dependent natural killer cell activation. Mol Cell Biol. 2014;34: 1158–1169. pmid:24421391
  52. 52. De Maria A, Fogli M, Costa P, Murdaca G, Puppo F, Mavilio D, et al. The impaired NK cell cytolytic function in viremic HIV-1 infection is associated with a reduced surface expression of natural cytotoxicity receptors (NKp46, NKp30 and NKp44). Eur J Immunol. 2003;33: 2410–2418. pmid:12938217
  53. 53. Fauriat C, Just-Landi S, Mallet F, Arnoulet C, Sainty D, Olive D, et al. Deficient expression of NCR in NK cells from acute myeloid leukemia: Evolution during leukemia treatment and impact of leukemia cells in NCRdull phenotype induction. Blood. 2007;109: 323–330. pmid:16940427
  54. 54. Lai CB, Mager DL. Role of Runt-related Transcription Factor 3 (RUNX3) in Transcription Regulation of Natural Cytotoxicity Receptor 1 (NCR1/NKp46), an Activating Natural Killer (NK) Cell Receptor. J Biol Chem. 2012;287: 7324–7334. pmid:22253448
  55. 55. Venton G, Labiad Y, Colle J, Fino A, Afridi S, Torres M, et al. Natural killer cells in acute myeloid leukemia patients: from phenotype to transcriptomic analysis. Immunol Res. 2016;64: 1225–1236. pmid:27481509
  56. 56. Agudelo O, Bueno J, Villa A, Maestre A. High IFN-gamma and TNF production by peripheral NK cells of Colombian patients with different clinical presentation of Plasmodium falciparum. Malar J. 2012;11: 38. pmid:22316273
  57. 57. Artavanis-Tsakonas K, Riley EM. Innate Immune Response to Malaria: Rapid Induction of IFN- from Human NK Cells by Live Plasmodium falciparum-Infected Erythrocytes. The Journal of Immunology. 2002;169: 2956–2963. pmid:12218109
  58. 58. Chen Q, Heddini A, Barragan A, Fernandez V, Pearce SF, Wahlgren M. The semiconserved head structure of Plasmodium falciparum erythrocyte membrane protein 1 mediates binding to multiple independent host receptors. J Exp Med. 2000;192: 1–10. pmid:10880521
  59. 59. D’Ombrain MC, Voss TS, Maier AG, Pearce JA, Hansen DS, Cowman AF, et al. Plasmodium falciparum erythrocyte membrane protein-1 specifically suppresses early production of host interferon-gamma. Cell Host Microbe. 2007;2: 130–138. pmid:18005727
  60. 60. Subramani R, Quadt K, Jeppesen AE, Hempel C, Petersen JEV, Hassenkam T, et al. Plasmodium falciparum-infected erythrocyte knob density is linked to the PfEMP1 variant expressed. MBio. 2015;6: e01456–15. pmid:26443460
  61. 61. Quadt KA, Barfod L, Andersen D, Bruun J, Gyan B, Hassenkam T, et al. The density of knobs on Plasmodium falciparum-infected erythrocytes depends on developmental age and varies among isolates. PLoS One. 2012;7: e45658. pmid:23029166
  62. 62. Böttger E, Multhoff G, Kun JFJ, Esen M. Plasmodium falciparum-infected erythrocytes induce granzyme B by NK cells through expression of host-Hsp70. PLoS One. 2012;7: e33774. pmid:22438997
  63. 63. Urlaub D, Höfer K, Müller M-L, Watzl C. LFA-1 Activation in NK Cells and Their Subsets: Influence of Receptors, Maturation, and Cytokine Stimulation. J Immunol. 2017;198: 1944–1951. pmid:28100681
  64. 64. Bryceson YT, March ME, Ljunggren H-G, Long EO. Synergy among receptors on resting NK cells for the activation of natural cytotoxicity and cytokine secretion. Blood. 2006;107: 159–166. pmid:16150947