Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Polymorphic variability in the 3' untranslated region (UTR) of IL12B is associated with susceptibility to severe anaemia in Kenyan children with acute Plasmodium falciparum malaria

BMC Genetics volume 12, Article number: 69 (2011) Cite this article

Abstract

Background

Plasmodium falciparum malaria remains a leading cause of morbidity and mortality among African children. Innate immunity provides the first line of defence against P. falciparum infections, particularly in young children that lack naturally-acquired malarial immunity, such as the population examined here. Consistent with the fact that elevated interleukin (IL)-12 is an important component of the innate immune response that provides protective immunity against malaria, we have previously shown that suppression of IL-12 in African children is associated with the development of severe malarial anaemia (SMA). Since the role of IL12B variants in conditioning susceptibility to SMA remains largely unexplored, the association between a single nucleotide polymorphism (1188A→C, rs3212227), SMA (Hb<6.0g/dL), circulating IL-12p40/p70 levels, and longitudinal clinical outcomes in Kenyan children (n = 756) residing in a holoendemic falciparum malaria transmission area were investigated.

Results

Multivariate logistic regression analysis in children with acute malaria (n = 544) demonstrated that carriers of the C allele had increased susceptibility to SMA (CC: OR, 1.674; 95% CI, 1.006-2.673; P = 0.047, and AC: OR, 1.410; 95% CI, 0.953-2.087; P = 0.086) relative to wild type (AA). Although children with SMA had lower IL-12p40/p70 levels than the non-SMA group (P = 0.037), levels did not differ significantly according to genotype. Longitudinal analyses in the entire cohort (n = 756) failed to show any significant relationships between rs3212227 genotypes and either susceptibility to SMA or all-cause mortality throughout the three year follow-up.

Conclusion

The rs3212227 is a marker of susceptibility to SMA in children with acute disease, but does not appear to mediate functional changes in IL-12 production or longitudinal outcomes during the acquisition of naturally-acquired malarial immunity.

Background

Plasmodium falciparum accounts for approximately 98% of the reported malaria cases in Africa and is a leading cause of morbidity and mortality among African children [1]. In areas with holoendemic P. falciparum transmission, such as western Kenya, severe malaria primarily manifests as severe malarial anaemia [SMA, haemoglobin, (Hb<6.0 g/dL)] with a peak incidence between 7-24 mos. of age [2]. Although SMA in western Kenya can occur in the presence or absence of high-density parasitaemia (HDP, ≥10,000 parasites/μL), the overall level of concomitant peripheral parasitaemia appears less important in determining anaemia severity than the presence of chronic or repeated infections that precipitously reduce Hb concentrations over time [3, 4].

Interleukin (IL)-12 is a pro-inflammatory cytokine released by monocytes/macrophages, B cells, and dendritic cells as part of the host immune response to invading pathogens [5, 6]. Studies in rhesus macaques demonstrated that subcutaneous injection of recombinant IL-12 prior to challenge with P. cynomolgi completely protected against infection, possibly through an interferon (IFN)-γ-dependent mechanism [7]. Our previous studies in Gabonese and Kenyan children with malaria showed that suppression of circulating IL-12 was associated with decreased Hb concentrations [8, 9]. These results are consistent with studies in murine models showing that IL-12 protects against malaria by enhancing erythropoiesis and, thereby, reducing severe anaemia [10]. Thus, unlike a number of other cytokines that show divergent results in differing species, the association between reduced IL-12 production and enhanced malaria disease severity appears conserved across the phylogenetic spectrum.

IL-12 is a heterodimer composed of IL-12p35 and IL-12p40 subunits, encoded by IL12A and IL12B genes located on chromosomes 3p12-q13.2 and 5q31-33, respectively [11]. A number of single nucleotide polymorphisms (SNPs) have been identified in the IL12B gene, including an IL12B promoter polymorphism (IL12Bpro, rs17860508) and a TaqI polymorphism (an A to C transition at 1188, rs3212227) in the IL12B 3' untranslated region [12, 13]. Previous case-control studies revealed that the IL12Bpro polymorphism was associated with enhanced mortality and reduced peripheral nitric oxide (NO) production in Tanzanian children with cerebral malaria, whereas variation at this position had no relationship with disease outcomes in Kenyan children with severe malaria [14]. Investigation of IL12B polymorphisms in a family-based association study showed that IL12Bpro was associated with an increased risk of cerebral malaria in Malian children, while rs3212227 polymorphic variability had no significant relationship with susceptibility to cerebral malaria [15]. However, the rs3212227 polymorphism has been associated with susceptibility to the development of autoimmune diseases [16], type 1 diabetes mellitus [17], multiple sclerosis [18, 19] lepromatous leprosy [20] and Chagas' disease [21]. In vitro investigations also suggest that differing rs3212227 genotypes functionally influence IL-12 production [13, 22].

More recently, our studies among an adult Thai population showed that carriage of the rs3212227 CC genotype was associated with severe malaria [23]. A recent community-based longitudinal investigation in a paediatric population in western Kenya, however, observed no association between the rs3212227 variants and SMA, but several significant relationships between SMA and copy number variation in IL12A and IL12RB1[24]. To further explore the role of rs3212227 variants in conditioning susceptibility to SMA, cross-sectional and longitudinal studies were performed in a comprehensively phenotyped paediatric population (n = 756) in Siaya District, western Kenya. We observed that among children presenting with acute falciparum malaria, carriers of the C allele had increased susceptibility to SMA compared to those with the wild type allele (AA), although IL-12p70 levels did not differ according to genotypes. In addition, longitudinal analyses did not show any significant relationships between the rs3212227 genotypes and either repeated episodes of SMA or all-cause mortality during the three year follow-up period.

Methods

Study participants

Recruitment took place at Siaya District Hospital (SDH), a rural government health facility in a holoendemic P. falciparum transmission area of western Kenya [4]. All study participants were from the Luo ethnic group. Further details about the study site and clinical manifestations of paediatric malaria in this geographic region can be found in our previous report [25]. A total of 756 children were recruited and included children presenting at the paediatric ward for treatment of febrile illnesses and those visiting the Mother and Child Health Clinic for childhood vaccinations. Enrolment was confined to those children presenting for their first documented 'hospital contact'. Children who had previously been hospitalized or had reported antimalarial use within two weeks prior to presentation at hospital were excluded from the study. None of the participants in the study had cerebral malaria or non-P. falciparum species of malaria.

For the cross-sectional analyses, children with P. falciparum malaria upon enrolment (Day 0, n = 544, 3-36 mos.), were stratified into two groups: non-SMA [Hb≥6.0 g/dL and P. falciparum-smear positive (density>1.0), n = 304 and SMA [Hb<6.0 g/dL and P. falciparum-smear positive (density>1.0), n = 240]. SMA was defined as Hb<6.0 g/dL (with any density parasitaemia) based on a previous longitudinal study examining the distribution of >14,000 Hb measurements in an age- and geographically-matched population in western Kenya [4]. This definition of SMA is appropriately defined by Hb distributions according to age, gender, and geographical context. Non-SMA was defined as Hb≥6.0 g/dL (with any density parasitaemia). In addition, to place the current findings into a global context, SMA (in the multivariate models) was also defined according to the World Health Organization (WHO) definition of SMA: Hb<5.0 g/dL with any density parasitaemia [26], while non-SMA was defined as Hb≥5.0 g/dL.

Since our previous investigations in this region demonstrated that HIV-1 status [27] and bacterial co-infection [28] enhance the development of anaemia in children with malaria, all study participants were tested for these co-pathogens (testing methods listed below). Pre- and post-HIV test counselling was provided for the parents/guardians of all study participants. Children were treated according to Ministry of Health (MoH), Kenya guidelines. Informed consent in the language of choice (i.e., English, Kiswahili, or Dholuo) was obtained from the parents/guardians of all participants. The study was approved by the ethical and scientific review committees at the Kenya Medical Research Institute and the Institutional Review Board at the University of New Mexico.

Longitudinal follow-up

Following enrolment, parents/guardians were asked to bring their child back every 3 mos. throughout the 3 yr. follow-up period. Since the exact location of each child's residence was determined upon enrolment with a GIS surveillance system, children who did not present for the quarterly follow-up visit were located by the study team within two days following the missed visit. In addition, since children in this region experience multiple episodes of malaria, and other paediatric infectious diseases, parents/guardians were asked to return to the hospital during their child's febrile episode(s). At each acute and quarterly visit, all laboratory tests required for proper clinical management of the patients were performed, including complete haematological indices, malaria parasitaemia measures, and evaluation of bacteremia (if clinically indicated). In addition, mortality data was collected throughout the 3 yr. follow-up. Although most children die at their residence, visits by our study team determined mortality data for those children that did not return for their follow-up visits. Mortality data, along with clinical and laboratory measures were used to evaluate the association between the genotypes and SMA, as well as mortality over a three year follow-up period.

Clinical laboratory measures

Venous blood samples (<3.0 mL) were collected into EDTA-containing Vacutainer® tubes, prior to administration of any treatment interventions. Asexual malaria parasites (trophozoites) were counted against 300 leukocytes in peripheral blood smears stained with 10% Giemsa. Parasite densities were estimated using the following formula: parasite density/μL = white blood cell (WBC) count/μL × trophozoites/300. Complete haematological parameters were determined with a Beckman Coulter® AcT diff2™ (Beckman-Coulter Corporation). Sickle-cell trait (HbAS) was determined by Hb electrophoresis according to the manufacturer's instructions (Helena Laboratories). HIV-1 exposure and HIV-1 infection were determined by serological and PCR testing, respectively, according to our published methods [27]. Trimethoprim-sulfamethoxazole was administered to all children that were positive for one or both serological HIV-1 tests. At the time of sample collection, none of the HIV-1(+) study participants had been initiated on antiretroviral treatment. For bacteremia testing, ~1.0 mL of whole blood was collected aseptically into sterile paediatric Isolator® microbial tubes (Wampole™ Laboratories) and presence of blood-borne bacterial pathogens was determined according to our previous methods [28].

rs3212227 SNP genotyping

DNA was extracted from buccal swabs using the BuccalAmp™ DNA extraction kit (Epicentre Biotechnologies). Genomic DNA was amplified using the Genomiphi DNA amplification kit (GE Healthcare, Life Sciences, Amersham), and the rs3212227 was genotyped using a Taqman® 5' allelic discrimination Assay-By-Design method according to manufacturer's instructions (Assay ID: C_2084293_10; Applied Biosystems).

Determination of IL-12 production

Plasma samples were obtained from venous blood and snap-frozen at -80°C until use. IL-12p40/p70 concentrations were determined using the Cytokine 25-plex Ab Bead Kit, Hu (BioSource™ International) according to the manufacturer's protocol. Plates were read on a Luminex 100™ system (Luminex Corporation) and analyzed using the Bio-Plex Manager Software (Bio-Rad Laboratories). The level of detection for IL-12p40/p70 was >4.0 pg/mL.

Statistical analyses

Statistical analyses were performed using SPSS (Version 15.0). Chi-square (χ2) analyses were used to compare proportions. Circulating levels of IL-12 were log-transformed towards normality prior to analyses. ANOVA tests were used to examine differences in IL-12 levels across the three genotypic groups. Differences in IL-12 levels between the non-SMA and SMA groups were determined using independent groups t-test. Deviations from Hardy-Weinberg Equilibrium (HWE) were tested using a web-based tool http://www.tufts.edu/~mcourt01/Documents/Court%20lab%20-%20HW%20calculator.xls. Cross-sectional associations between the rs3212227 genotypes and SMA in parasitaemic children were determined by a multivariate logistic regression model, controlling for the confounding effects of age, gender, HIV-1 status (this included both HIV-1 exposed and positive children), bacteremia, and sickle-cell trait (HbAS). In addition, hierarchical logistic regression was used to investigate the association between genotype and longitudinal outcomes (i.e., SMA and mortality). For each analysis, covariates (i.e., age, gender, sickle cell trait, HIV-1 and bacteremia status) were entered into block 1 and the genotype contrast was entered into block 2. Statistical significance was set at P ≤ 0.050 for all tests.

Results

Demographic, parasitological, and clinical characteristics of parasitaemic children upon enrolment

To determine the impact of polymorphic variation at the rs3212227 locus on susceptibility to SMA in children with acute infection, children with P. falciparum infections (upon enrolment) were stratified into two clinical categories: non-SMA (Hb≥6.0 g/dL, n = 304) and SMA (Hb<6.0 g/dL, n = 240). The demographic, clinical, and laboratory characteristics of the parasitaemic study participants are summarized in Table 1. Although gender was comparable in the two groups (P = 0.268), children presenting at hospital with SMA were younger (mos., P < 0.001) and had lower axillary temperatures (°C, P < 0.001). Consistent with the a priori grouping based on Hb (g/dL) concentrations, Hb levels differed between the groups (P < 0.001). In addition, children presenting with SMA had leucocytosis relative to the non-SMA group (P < 0.001). Peripheral parasite density (/μL) and the geometric mean parasitaemia were comparable between groups (P = 0.446 and P = 0.678, respectively). However, the non-SMA group had an elevated prevalence of high-density parasitaemia (HDP, ≥10,000 parasites/μL, P = 0.057). Similarly, the non-SMA group had a higher proportion of children with sickle-cell trait (HbAS) compared to the SMA group (16.1% vs. 2.5%; P = 0.054).

Table 1 Demographic, parasitological, and clinical characteristics of the study participants upon enrolment
Full size table

Distribution of IL12B 3' UTR genotypes in children with malaria

Genotypes were generated using a Taqman® 5' allelic discrimination assay. Prevalence of rs3212227 genotypes in the parasitaemic children were 39.4% AA, 41.7% AC and 18.9% CC with overall allele frequencies of A = 0.60 and C = 0.40, respectively. The combined distribution of genotypes in the non-SMA and SMA groups displayed significant departure from Hardy-Weinberg Equilibrium (HWE, χ2 = 9.078, P = 0.003). The distribution of rs3212227 genotypes in the non-SMA group was 43.4% AA, 40.5% AC, and 16.1% CC with allele frequencies of A = 0.64 and C = 0.36, respectively (Table 2). The genotypic distribution in the non-SMA group had significant departure from HWE (χ2 = 4.796, P = 0.030). Genotypic distributions in SMA group were 34.2% AA, 43.3% AC, and 22.5% CC with allele frequencies of A = 0.56 and C = 0.44, respectively (Table 2). Departure from HWE did not reach significance in children with SMA (χ2 = 3.536, P = 0.060). The overall distribution of genotypes between the non-SMA and SMA groups was statistically significant (χ2 test, P = 0.048, Table 2).

Table 2 Distribution of IL12B 3' UTR genotypes in children with P. falciparum malaria
Full size table

Cross-sectional association between rs3212227 genotypic variants and SMA

To investigate the association between rs3212227 and susceptibility to SMA in children with acute disease, multivariate logistic regression analyses were performed controlling for the confounding effects of age, gender, sickle-cell trait, HIV-1, and bacteremia status [27–30]. Although heterozygous individuals (AC) had a 27% and 41% increased risk of developing SMA relative to homozygous A individuals (wild type, reference) using Hb cut-off criteria of 5.0 and 6.0 g/dL, respectively, these results were not statistically significant (P = 0.314 and P = 0.086, respectively; Table 3). However, homozygosity at the C allele was associated with a 51% increased risk of developing SMA using the WHO definition of disease (Hb<5.0 g/dL, OR, 1.512; 95% CI, 0.870-2.629; P = 0.142) and a 67% increased risk of SMA (Hb<6.0 g/dL, OR, 1.674; 95% CI, 1.006-2.673; P = 0.047) using the modified definition of SMA (Table 3). Additional analyses revealed that carriage of the C allele (AC + CC) was associated with 35% increased risk of developing SMA at Hb<5.0 g/dL (P = 0.170) and a 48% increased risk of developing SMA at Hb<6.0 g/dL (P = 0.034, Table 3). Although the CC vs. AC + AA demonstrated a trend towards increased risk in those with CC genotype relative to AC + AA groups, these findings were not statistically significant (Table 3). Further analyses stratifying the genotypes into different alleles revealed the same results for the A vs. C alleles and supported the observation that the presence of a C allele increased the risk of developing SMA. Taken together, these results demonstrate that carriage of the C allele is an important risk factor for susceptibility to SMA in children with acute disease using either the appropriately modified definition of SMA or the more globally employed definition of SMA set by the WHO.

Table 3 Relationship between IL12 B 3' UTR genotypes and susceptibility to SMA
Full size table

Functional relationship between rs3212227 genotypes and IL-12 production

Prior to examining the functional association between circulating IL-12 levels and rs3212227 variants, IL-12 levels were log-transformed towards normality and compared between the non-SMA and SMA groups. Since bacteremia and HIV-1 infection could influence cytokine production in children with malaria, all co-infected children were excluded from the analysis. Children with SMA (n = 96) had significantly lower circulating IL-12p40/p70 levels [mean (SEM); 2.563 (0.023)] than the non-SMA (n = 98) group [2.638 (0.028), P = 0.037] (Figure 1a).

Figure 1
figure 1

IL-12p70 production based on anaemia severity and genotypes. (A) The association between circulating IL-12p40/p70 levels and anaemia severity in parasitaemic children with SMA (n = 95) and non-SMA (n = 95) was determined. Bar-charts represent the means, and whiskers show the standard error of mean (SEM). Statistical significance was determined at P ≤ 0.05 by independent groups t-test. Children with SMA had significantly lower circulating IL-12p40/p70 levels than the non-SMA group (P = 0.037). (B) Circulating IL-12p40/p70 levels in children (n = 190) with P. falciparum malaria were measured using the Human Cytokine 25-Plex Antibody Bead Kit and stratified according to genotype. Bar-charts represent the means, and the whiskers show the standard error of mean (SEM) for AA (n = 69) 2.625 ± 0.035, AC (n = 82) 2.576 ± 0.027, and CC (n = 39) 2.590 ± 0.030 genotypes. Differences were considered significant at P ≤ 0.05 (ANOVA). IL-12p40/p70 levels were not significantly different across the genotypic groups (P = 0.514).

Full size image

To determine if rs3212227 genotypes were associated with functional changes in IL-12, circulating concentrations of log-transformed IL-12p40/p70 levels were compared across the genotypic groups. Levels of IL-12p40/p70 were comparable in the groups (P = 0.514, ANOVA; Figure 1b), suggesting that variation at rs3212227 may be an important marker of disease severity, but may not be critical for regulating the overall production of IL-12 in children with acute malaria.

Longitudinal relationship between the rs3212227, SMA, and mortality

After determining the relationship between the rs3212227 locus and susceptibility to SMA in children with acute malaria, hierarchical logistic regression was used to investigate the relationship between carriage of the different genotypes and longitudinal outcomes: SMA and mortality. Genotypic distributions in the entire cohort (n = 756) were: 40.3% (AA); 41.4% (AC); and 18.3% (CC). Hierarchical logistic regression modelling revealed that relative to the AA genotype (reference), neither the AC (β = -0.004, P = 0.963) nor CC (β = 0.005, P = 0.964) genotypes were associated with development of SMA over the three year follow-up period. The relationship between genotypes and mortality were also examined by hierarchical logistic regression. The mortality rate over the three years of follow up was 7.1% (54/756). Compared to the AA reference group, mortality over the follow-up period was not significantly different for the AC (β = -0.571, P = 0.130) and CC (β = -0.681, P = 0.181) genotypes. Further exploration by both Poisson and Negative Binomial regressions also failed to identify any significant relationships between the genotypes and either susceptibility to SMA or mortality (data not presented).

Discussion

The pathophysiological basis of SMA is complex and poorly understood. One method for exploring the genes and gene pathways that condition susceptibility to SMA is to utilize a candidate gene approach for both cross-sectional and longitudinal investigations. This approach allows for an increased understanding of the mechanisms that confer protection against development of SMA once children become infected with falciparum malaria (acute disease), and also provides information about how polymorphic variants condition susceptibility to SMA and/or mortality throughout the critical phases of naturally-acquired immunity (longitudinal outcomes). We hypothesized that variation at rs3212227 locus may provide important information about the role of IL-12 in protecting against SMA.

Children with falciparum malaria underwent extensive clinical evaluations to rule out additional causes of anaemia so that they could be appropriately controlled for in the multivariate models. For example, since HIV-1 and bacteremia are some of the most common anaemia-promoting infectious diseases in African children [27–29], all study participants were tested for these co-pathogens. It is important to note that children exposed to HIV-1, yet lack definitively identifiable virus in their system, also have enhanced severity of anaemia when they acquire falciparum malaria [27]. Unlike previous studies, the multivariate models therefore controlled for HIV-1 exposure, HIV-1 positivity, and bacteremia. Since severe anaemia is the primary manifestation of severe malaria in holoendemic P. falciparum transmission regions, with cerebral malaria being a rare occurrence, this study specifically examined the role of rs3212227 in conditioning the development of severe anaemia and as such, it remains to be determined if results obtained here are applicable to areas with differing endemicities of malaria in which individuals develop severe disease manifestations apart from severe anaemia.

IL-12 plays a critical role in modulating the immune response by promoting CD4+ T cells and NK cells to differentiate towards a Th1 phenotype for production of IFN-γ, an important component of cell-mediated immunity that helps eliminate intracellular pathogens [31]. Accumulating evidence shows that IL-12 is a critical factor for augmenting protective immune responses against malaria in animal models [7, 32, 33]. Our previous studies showing that reduced IL-12p70 production is associated with enhanced severity of malaria in African children [8, 34] illustrate the importance of IL-12 in human malaria as well. Consistent with these investigations, the current study demonstrated that children with acute malaria that develop SMA have significantly lower circulating IL-12p40/p70 levels than children that fail to progress to severe anaemia (i.e., the non-SMA group).

Previous examination of the rs3212227 polymorphism in Tanzanian children demonstrated that homozygous C individuals had higher mortality from cerebral malaria, whereas no significant associations were found between rs3212227 genotypes and severe malaria (defined as a mixed phenotypic outcome) in children from coastal Kenya [14]. Our recent study in Thai adults with falciparum malaria showed that although carriage of the rs3212227 CC genotype was enriched in the severe disease group, multivariate modelling did not reveal a significant association between the genotype and disease severity [23]. In addition, a comprehensive longitudinal study in an adjacent region to where the current study was conducted utilized fifty-five tagging single nucleotide polymorphisms (covering genes encoding IL12A, IL12B, IL12RB1, and IL12RB2) to demonstrate a number of important associations between genetic variation and SMA, of which rs3212227 did not emerge as significant [24]. However, results presented here clearly demonstrate that homozygosity at the C allele was associated with an increased risk of developing SMA in children with acute disease, while having no effect on longitudinal outcomes (i.e., SMA and mortality) over three years of follow-up. While the reason for differences in the predominately Luo ethnic populations examined in both studies is unclear, it may be attributable to the fact that we controlled for the influence of common paediatric infectious diseases, such as HIV-1 and bacteremia, that influence both anaemia and mortality throughout childhood. Furthermore, the distribution of genotypes in the combined clinical groups (non-SMA and SMA) displayed significant departure from HWE, possibly resulting from selection at the rs3212227 SNP due to 'enrichment' of malaria-infected individuals in the current study. Although not available for the current study, examination of the genotypes in a large number of non-malaria infected 'controls' would help to determine if the HWE deviation at rs3212227 observed in the current study is indeed due to malaria-mediated selection.

Since 3'UTRs contain regulatory elements that are highly conserved and control translational activity, variation within the 3'UTR can affect transcriptional stability and binding of translational proteins [35]. A previous investigation examining the rs3212227 in Turkish adults showed that individuals with the CC genotype produced the highest levels of IL-12p70 in cultured peripheral blood mononuclear cells (PBMC) [22, 36], while another study in two ethnic groups from Bulgaria revealed that the AA genotype was associated with the highest PBMC IL-12p40 production [22, 36]. However, recent studies in individuals with lepromatous leprosy and Chagas' disease failed to find any significant relationships between rs3212227 genotypes and IL-12p70 production [20, 21]. Consistent with these investigations, stratification of children in the current study, according to genotypes, failed to show any significant differences in circulating IL-12p40/p70 levels across the groups. Moreover, examination of IL-12p40/70 in cultured PBMC from children with malaria in the current study also failed to show any significant association with rs3212227 genotypes (data not presented). The lack of a functional association between rs3212227 variants and IL-12 production reported here is supported by our in silico analysis (using the web site http://www.cbil.upenn.edu/cgi-bin/tess/tess) which revealed that the region encompassing the rs3212227 had no major transcription factor binding site changes that would be affected by SNP variation within this region. Although the exact reason for the lack of a functional association between rs3212227 genotypes and IL-12p40/p70 levels reported here remains to be determined, it is possible that additional polymorphic variants, such as IL12Bpro [14], or variation in other genes that influence IL-12 production (e.g. IL-10 and IL-4) may be responsible for mediating IL-12 generation [36, 37].

Since the mechanism through which IL-12 provides protection against malaria in murine models appears to be related to the ability of IL-12 to promote IFN-γ and tumour necrosis factor (TNF)-α production that, in turn, provide enhanced NO generation [38], we examined the association between the rs3212227 variants and all three of these inflammatory mediators. However, circulating levels of IFN-γ, TNF-α, or NO were not significantly different upon stratifying into genotypic groups (data not presented).

Recent data from our laboratory, obtained in the same population of children, demonstrated that multi-site loci provide more informative information about malarial disease outcomes than information obtained for a single locus [39, 40]. These studies further revealed that combinations of functional polymorphic alleles in haplotypes interact to modulate the individual effects of SNPs and variable number tandem repeats (VNTRs) [39, 41]. As such, we are currently expanding the current study to include additional polymorphisms in the IL12B gene (and other immunoregulatory genes that influence IL-12), to delineate the effects of genetic variation in cis-regulatory genes, and the impact of haplotypes on the host immune response to malaria.

Conclusions

Results presented here demonstrate that the rs3212227 is an important marker of susceptibility to SMA, but variation at this particular locus may not serve as a functional mediator of IL-12p40/p70 levels. Given that similar results were observed in individuals with lepromatous leprosy [20] and Chagas' disease [21], the CC genotype could be a marker of susceptibility to intracellular pathogens. Additional studies are required to confirm this hypothesis.

Authors' information

University of New Mexico Laboratories of Parasitic and Viral Diseases, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya (JMO, EOR, SBA, TW, SK, CO, and DJP); Center for Global Health, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA (PK, JMO, GCD and DJP); Department of Biochemistry and Biotechnology, Kenyatta University, Nairobi, Kenya (EOR); Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya (JMV); Department of Psychology, College of Charleston, Charleston, SC, USA (JBH).

References

  1. WHO: World malaria report 2008. WHO/HTM/GMP/2008.1. 2008, [http://www.who.int/malaria/wmr2008/malaria2008.pdf]

    Google Scholar 

  2. Bloland PB, Ruebush TK, McCormick JB, Roberts JM, Oloo AJ, Hawley W, Lal A, Nahlen B, Campbell CC: Longitudinal cohort study of the epidemiology of malaria infections in an area of intense malaria transmission I. Description of study site, general methodology, and study population. Am J Trop Med Hyg. 1999, 60: 635-640.

    CAS  PubMed  Google Scholar 

  3. Ekvall H, Premji Z, Bennett S, Bjorkman A: Hemoglobin concentration in children in a malaria holoendemic area is determined by cumulated Plasmodium falciparum parasite densities. Am J Trop Med Hyg. 2001, 64: 58-66.

    CAS  PubMed  Google Scholar 

  4. McElroy PD, Lal AA, Hawley WA, Bloland PB, Kuile FO, Oloo AJ, Harlow SD, Lin X, Nahlen BL: Analysis of repeated hemoglobin measures in full-term, normal birth weight Kenyan children between birth and four years of age. III. The Asembo Bay Cohort Project. Am J Trop Med Hyg. 1999, 61: 932-940.

    CAS  PubMed  Google Scholar 

  5. Kobayashi M, Fitz L, Ryan M, Hewick RM, Clark SC, Chan S, Loudon R, Sherman F, Perussia B, Trinchieri G: Identification and purification of natural killer cell stimulatory factor (NKSF), a cytokine with multiple biologic effects on human lymphocytes. J Exp Med. 1989, 170: 827-845. 10.1084/jem.170.3.827.

    Article  CAS  PubMed  Google Scholar 

  6. D'Andrea A, Rengaraju M, Valiante NM, Chehimi J, Kubin M, Aste M, Chan SH, Kobayashi M, Young D, Nickbarg E, Chizzonite R, Wolf SF, Trinchieri G: Production of natural killer cell stimulatory factor (interleukin 12) by peripheral blood mononuclear cells. J Exp Med. 1992, 176: 1387-1398. 10.1084/jem.176.5.1387.

    Article  PubMed  Google Scholar 

  7. Hoffman SL, Crutcher JM, Puri SK, Ansari AA, Villinger F, Franke ED, Singh PP, Finkelman F, Gately MK, Dutta GP, Sedegah M: Sterile protection of monkeys against malaria after administration of interleukin-12. Nat Med. 1997, 3: 80-83. 10.1038/nm0197-80.

    Article  CAS  PubMed  Google Scholar 

  8. Luty AJ, Perkins DJ, Lell B, Schmidt-Ott R, Lehman LG, Luckner D, Greve B, Matousek P, Herbich K, Schmid D, Weinberg JB, Kremsner PG: Low interleukin-12 activity in severe Plasmodium falciparum malaria. Infect Immun. 2000, 68: 3909-3915. 10.1128/IAI.68.7.3909-3915.2000.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  9. Keller CC, Yamo O, Ouma C, Ong'echa JM, Ounah D, Hittner JB, Vulule JM, Perkins DJ: Acquisition of hemozoin by monocytes down-regulates interleukin-12 p40 (IL-12p40) transcripts and circulating IL-12p70 through an IL-10-dependent mechanism: in vivo and in vitro findings in severe malarial anemia. Infect Immun. 2006, 74: 5249-5260. 10.1128/IAI.00843-06.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Mohan K, Stevenson MM: Dyserythropoiesis and severe anaemia associated with malaria correlate with deficient interleukin-12 production. Br J Haematol. 1998, 103: 942-949. 10.1046/j.1365-2141.1998.01126.x.

    Article  CAS  PubMed  Google Scholar 

  11. Sieburth D, Jabs EW, Warrington JA, Li X, Lasota J, LaForgia S, Kelleher K, Huebner K, Wasmuth JJ, Wolf SF: Assignment of genes encoding a unique cytokine (IL12) composed of two unrelated subunits to chromosomes 3 and 5. Genomics. 1992, 14: 59-62. 10.1016/S0888-7543(05)80283-6.

    Article  CAS  PubMed  Google Scholar 

  12. Huang D, Cancilla MR, Morahan G: Complete primary structure, chromosomal localisation, and definition of polymorphisms of the gene encoding the human interleukin-12 p40 subunit. Genes Immun. 2000, 1: 515-520. 10.1038/sj.gene.6363720.

    Article  CAS  PubMed  Google Scholar 

  13. Seegers D, Zwiers A, Strober W, Pena AS, Bouma G: A TaqI polymorphism in the 3'UTR of the IL-12 p40 gene correlates with increased IL-12 secretion. Genes Immun. 2002, 3: 419-423. 10.1038/sj.gene.6363919.

    Article  CAS  PubMed  Google Scholar 

  14. Morahan G, Boutlis CS, Huang D, Pain A, Saunders JR, Hobbs MR, Granger DL, Weinberg JB, Peshu N, Mwaikambo ED, Marsh K, Roberts DJ, Anstey NM: A promoter polymorphism in the gene encoding interleukin-12 p40 (IL12B) is associated with mortality from cerebral malaria and with reduced nitric oxide production. Genes Immun. 2002, 3: 414-418. 10.1038/sj.gene.6363909.

    Article  CAS  PubMed  Google Scholar 

  15. Marquet S, Doumbo O, Cabantous S, Poudiougou B, Argiro L, Safeukui I, Konate S, Sissoko S, Chevereau E, Traore A, Keita MM, Chevillard C, Abel L, Dessein AJ: A functional promoter variant in IL12B predisposes to cerebral malaria. Hum Mol Genet. 2008, 17: 2190-2195. 10.1093/hmg/ddn118.

    Article  CAS  PubMed  Google Scholar 

  16. Tsunemi Y, Saeki H, Nakamura K, Sekiya T, Hirai K, Fujita H, Asano N, Kishimoto M, Tanida Y, Kakinuma T, Mitsui H, Tada Y, Wakugawa M, Torii H, Komine M, Asahina A, Tamaki K: Interleukin-12 p40 gene (IL12B) 3'-untranslated region polymorphism is associated with susceptibility to atopic dermatitis and psoriasis vulgaris. J Dermatol Sci. 2002, 30: 161-166. 10.1016/S0923-1811(02)00072-5.

    Article  CAS  PubMed  Google Scholar 

  17. Windsor L, Morahan G, Huang D, McCann V, Jones T, James I, Christiansen FT, Price P: Alleles of the IL12B 3'UTR associate with late onset of type 1 diabetes. Hum Immunol. 2004, 65: 1432-1436. 10.1016/j.humimm.2004.09.001.

    Article  CAS  PubMed  Google Scholar 

  18. Alifirova VM, Orlova I, Babenko SA, Rudko AA, Puzyrev VP: The 1188 A/C ILI2B gene polymorphism in patients with multiple sclerosis and in healthy subjects of Tomsk region. Zh Nevrol Psikhiatr Im S S Korsakova Spec. 2006, 3: 130-135.

    Google Scholar 

  19. Shokrgozar MA, Sarial S, Amirzargar A, Shokri F, Rezaei N, Arjang Z, Radfar J, Yousefi-Behzadi M, Ali Sahraian M, Lotfi J: IL-2, IFN-gamma, and IL-12 gene polymorphisms and susceptibility to multiple sclerosis. J Clin Immunol. 2009, 29: 747-751. 10.1007/s10875-009-9310-z.

    Article  CAS  PubMed  Google Scholar 

  20. Alvarado-Navarro A, Montoya-Buelna M, Munoz-Valle JF, Lopez-Roa RI, Guillen-Vargas C, Fafutis-Morris M: The 3'UTR 1188 A/C polymorphism in the interleukin-12p40 gene (IL-12B) is associated with lepromatous leprosy in the west of Mexico. Immunol Lett. 2008, 118: 148-151. 10.1016/j.imlet.2008.03.015.

    Article  CAS  PubMed  Google Scholar 

  21. Zafra G, Morillo C, Martin J, Gonzalez A, Gonzalez CI: Polymorphism in the 3' UTR of the IL12B gene is associated with Chagas' disease cardiomyopathy. Microbes Infect. 2007, 9: 1049-1052. 10.1016/j.micinf.2007.04.010.

    Article  CAS  PubMed  Google Scholar 

  22. Stanilova S, Miteva L: Taq-I polymorphism in 3'UTR of the IL-12B and association with IL-12p40 production from human PBMC. Genes Immun. 2005, 6: 364-366. 10.1038/sj.gene.6364213.

    Article  CAS  PubMed  Google Scholar 

  23. Phawong C, Ouma C, Tangteerawatana P, Thongshoob J, Were T, Mahakunkijcharoen Y, Wattanasirichaigoon D, Perkins DJ, Khusmith S: Haplotypes of IL12B promoter polymorphisms condition susceptibility to severe malaria and functional changes in cytokine levels in Thai adults. Immunogenetics. 2010, 62: 345-356. 10.1007/s00251-010-0439-y.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  24. Zhang L, Prather D, Vanden Eng J, Crawford S, Kariuki S, ter Kuile F, Terlouw D, Nahlen B, Lal AA, Slutsker L, Udhayakumar V, Shi YP: Polymorphisms in genes of interleukin 12 and its receptors and their association with protection against severe malarial anaemia in children in western Kenya. Malar J. 2010, 9: 87-

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. Ong'echa JM, Keller CC, Were T, Ouma C, Otieno RO, Landis-Lewis Z, Ochiel D, Slingluff JL, Mogere S, Ogonji GA, Orago AS, Vulule JM, Kaplan SS, Day RD, Perkins DJ: Parasitemia, anaemia, and malarial anaemia in infants and young children in a rural holoendemic Plasmodium falciparum transmission area. Am J Trop Med Hyg. 2006, 74: 376-385.

    PubMed  Google Scholar 

  26. WHO: Severe falciparum malaria. Trans R Soc Trop Med Hyg. 2000, 94: 1-90.

    Google Scholar 

  27. Otieno RO, Ouma C, Ong'echa JM, Keller CC, Were T, Waindi EN, Michaels MG, Day RD, Vulule JM, Perkins DJ: Increased severe anaemia in HIV-1-exposed and HIV-1-positive infants and children during acute malaria. AIDS. 2006, 20: 275-280. 10.1097/01.aids.0000200533.56490.b7.

    Article  PubMed  Google Scholar 

  28. Were T, Davenport GC, Hittner JB, Ouma C, Vulule JM, Ong'echa JM, Perkins DJ: Bacteremia in Kenyan children presenting with malaria. J Clin Microbiol. 2011, 49: 671-676. 10.1128/JCM.01864-10.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  29. Berkley J, Mwarumba S, Bramham K, Lowe B, Marsh K: Bacteraemia complicating severe malaria in children. Trans R Soc Trop Med Hyg. 1999, 93: 283-286. 10.1016/S0035-9203(99)90024-X.

    Article  CAS  PubMed  Google Scholar 

  30. Aidoo M, Terlouw DJ, Kolczak MS, McElroy PD, ter Kuile FO, Kariuki S, Nahlen BL, Lal AA, Udhayakumar V: Protective effects of the sickle cell gene against malaria morbidity and mortality. Lancet. 2002, 359: 1311-1312. 10.1016/S0140-6736(02)08273-9.

    Article  CAS  PubMed  Google Scholar 

  31. Gately MK, Renzetti LM, Magram J, Stern AS, Adorini L, Gubler U, Presky DH: The interleukin-12/interleukin-12-receptor system: role in normal and pathologic immune responses. Annu Rev Immunol. 1998, 16: 495-521. 10.1146/annurev.immunol.16.1.495.

    Article  CAS  PubMed  Google Scholar 

  32. Crutcher JM, Stevenson MM, Sedegah M, Hoffman SL: Interleukin-12 and malaria. Res Immunol. 1995, 146: 552-559. 10.1016/0923-2494(96)83031-8.

    Article  CAS  PubMed  Google Scholar 

  33. Su Z, Stevenson MM: IL-12 is required for antibody-mediated protective immunity against blood-stage Plasmodium chabaudi AS malaria infection in mice. J Immunol. 2012, 168: 1348-1355.

    Article  Google Scholar 

  34. Perkins DJ, Weinberg JB, Kremsner PG: Reduced interleukin-12 and transforming growth factor-beta1 in severe childhood malaria: relationship of cytokine balance with disease severity. J Infect Dis. 2000, 182: 988-992. 10.1086/315762.

    Article  CAS  PubMed  Google Scholar 

  35. Kuersten S, Goodwin EB: The power of the 3' UTR: translational control and development. Nat Rev Genet. 2003, 4: 626-637. 10.1038/nrg1125.

    Article  CAS  PubMed  Google Scholar 

  36. Yilmaz V, Yentur SP, Saruhan-Direskeneli G: IL-12 and IL-10 polymorphisms and their effects on cytokine production. Cytokine. 2005, 30: 188-194. 10.1016/j.cyto.2005.01.006.

    Article  CAS  PubMed  Google Scholar 

  37. Peng JC, Abu Bakar S, Richardson MM, Jonsson JJ, Frazer IH, Nielsen LK, Morahan G, Thomas R: IL10 and IL12B polymorphisms each influence IL-12p70 secretion by dendritic cells in response to LPS. Immunol Cell Biol. 2006, 84: 227-232. 10.1111/j.1440-1711.2006.01419.x.

    Article  CAS  PubMed  Google Scholar 

  38. Stevenson MM, Tam MF, Wolf SF, Sher A: IL-12-induced protection against blood-stage Plasmodium chabaudi AS requires IFN-gamma and TNF-alpha and occurs via a nitric oxide-dependent mechanism. J Immunol. 1995, 155: 2545-2556.

    CAS  PubMed  Google Scholar 

  39. Ouma C, Davenport GC, Awandare GA, Keller CC, Were T, Otieno MF, Vulule JM, Martinson J, Ong'echa JM, Ferrell RE, Perkins DJ: Polymorphic variability in the interleukin (IL)-1beta promoter conditions susceptibility to severe malarial anaemia and functional changes in IL-1beta production. J Infect Dis. 2008, 198: 1219-1226. 10.1086/592055.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  40. Ouma C, Davenport GC, Were T, Otieno MF, Hittner JB, Vulule JM, Martinson J, Ong'echa JM, Ferrell RE, Perkins DJ: Haplotypes of IL-10 promoter variants are associated with susceptibility to severe malarial anaemia and functional changes in IL-10 production. Hum Genet. 2008, 124: 515-524. 10.1007/s00439-008-0578-5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  41. Awandare GA, Martinson JJ, Were T, Ouma C, Davenport GC, Ong'echa JM, Wang W, Leng L, Ferrell RE, Bucala R, Perkins DJ: MIF (macrophage migration inhibitory factor) promoter polymorphisms and susceptibility to severe malarial anaemia. J Infect Dis. 2009, 200: 629-637. 10.1086/600894.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgements and Funding

We are very grateful to the parents/guardians of the study participants and the children that participated in the study. We are also indebted to the Siaya District Hospital team and the University of New Mexico/KEMRI staff for support and management: Nicholas Kondiek and Martha Atandi for clinical support; Tabitha Otieno, Chris Wasonga, Joan Ochieng, and Godfrey Ogulla, for laboratory support; Vincent Omanje, Jared Ondijo and Caroline Odette for data management; Rodney Bosire for field support; and Anne Ong'ondo for administrative support. These data are published with the approval of the Director, Kenya Medical Research Institute (KEMRI).

Financial support: This work was supported by grants from the National Institute of Health [R01 AI51305-04 and D43 TW05884-04 (DJP)] and Fogarty International Center [R01 TW007631 (JMO)]. The content is the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health. The funding body was not involved in the study design, collection, analysis, data interpretation, manuscript writing or the decision to submit the manuscript for publication.

Author information

Authors and Affiliations

  1. University of New Mexico Laboratories of Parasitic and Viral Diseases, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

    John M Ong'echa, Evans O Raballah, Samuel B Anyona, Tom Were, Stephen Konah, Collins Ouma & Douglas J Perkins

  2. Center for Global Health, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA

    John M Ong'echa, Prakasha M Kempaiah, Gregory C Davenport & Douglas J Perkins

  3. Department of Biochemistry and Biotechnology, Kenyatta University, Nairobi, Kenya

    Evans O Raballah

  4. Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya

    John M Vulule

  5. Department of Psychology, College of Charleston, Charleston, SC, USA

    James B Hittner

Authors
  1. John M Ong'echa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Evans O Raballah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Prakasha M Kempaiah
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Samuel B Anyona
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tom Were
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Gregory C Davenport
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Stephen Konah
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. John M Vulule
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Collins Ouma
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. James B Hittner
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Douglas J Perkins
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Douglas J Perkins.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

JMO participated in the design and implementation of the genotyping assays, supervised the study and participated in writing the manuscript. EOR participated in genotyping experiments, data analyses and manuscript writing. PK participated in the genotyping assays and writing of the manuscript. SBA participated in the analyses and manuscript writing. TW participated in the analyses and manuscript writing. GCD participated in the analyses and manuscript writing. SK participated in the analyses and manuscript writing. JMV participated in the design, supervision of the study, and manuscript writing. CO participated in the analyses and manuscript writing. JBH participated in the design, analyses and manuscript writing. DJP conceived the study, participated in the design, implementation, analyses and manuscript writing. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Ong'echa, J.M., Raballah, E.O., Kempaiah, P.M. et al. Polymorphic variability in the 3' untranslated region (UTR) of IL12B is associated with susceptibility to severe anaemia in Kenyan children with acute Plasmodium falciparum malaria. BMC Genet 12, 69 (2011). https://doi.org/10.1186/1471-2156-12-69

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2156-12-69

Keywords

BMC Genomic Data

ISSN: 2730-6844

Contact us