Skip to main content
Download PDF

Influence of blood group, Glucose-6-phosphate dehydrogenase and Haemoglobin genotype on Falciparum malaria in children in Vihiga highland of Western Kenya

BMC Infectious Diseases volume 20, Article number: 487 (2020) Cite this article

Abstract

Background

Genetic diversity of ABO blood, glucose-6-phosphate dehydrogenase (G6PD) deficiency and haemoglobin type and their ability to protect against malaria vary geographically, ethnically and racially. No study has been carried out in populations resident in malaria regions in western Kenya.

Method

A total of 574 malaria cases (severe malaria anaemia, SMA = 137 and non-SMA = 437) seeking treatment at Vihiga County and Referral Hospital in western Kenya, were enrolled and screened for ABO blood group, G6PD deficiency and haemoglobin genotyped in a hospital-based cross-sectional study.

Result

When compared to blood group O, blood groups A, AB and B were not associated with SMA (P = 0.380, P = 0.183 and P = 0.464, respectively). Further regression analysis revealed that the carriage of the intermediate status of G6PD was associated with risk to SMA (OR = 1.52, 95%CI = 1.029–2.266, P = 0.035). There was, however, no association between AS and SS with severe malaria anaemia. Co-occurrence of both haemoglobin type and G6PD i.e. the AA/intermediate was associated with risk to SMA (OR = 1.536, 95%CI = 1.007–2.343, P = 0.046) while the carriage of the AS/normal G6PD was associated with protection against SMA (OR = 0.337, 95%CI = 0.156–0.915, P = 0.031).

Conclusion

Results demonstrate that blood group genotypes do not have influence on malaria disease outcome in this region. Children in Vihiga with blood group O have some protection against malaria. However, the intermediate status of G6PD is associated with risk of SMA. Further, co-inheritance of sickle cell and G6PD status are important predictors of malaria disease outcome. This implies combinatorial gene function in influencing disease outcome.

Peer Review reports

Background

Despite the expanded use of proven malaria control strategies, over 216 million malaria cases and 0.5 million malaria related deaths have been reported worldwide [1]. Africa continues to account for about 90% of all malaria cases and deaths worldwide [1]. This high rates of malaria related morbidities is greatly driven by the malaria vaccine escape and drug resistant mutants resulting from host immune and drug pressure [2]. Therefore, many investigations have been conducted to find out whether or not ABO blood group antigens, glucose-6-phosphate dehydrogenase (G6PD) deficiency and hemoglobin genotypes are associated with susceptibility, resistance, or severity of P. falciparum malaria [3].

Rosetting is characterized by the binding of P. falciparum-infected red blood cells to uninfected red blood cells to form clusters of cells that are thought to contribute to the pathology of falciparum malaria by obstructing blood flow in small blood vessels [4]. Rosetting parasites such as P. falciparum form larger, stronger rosettes in non-O (A, B or AB) blood groups than in group O red blood cells [5, 6] suggesting that rosetting phenotypes correlates with severe falciparum malaria [7]. On the other hand, it has been reported that rosettes form better depending on the blood cell types, with the blood cell type A and B having higher chances of forming rosettes [5, 6]. Some studies have reported the absent of significant association between ABO blood group and malaria [8] while others have reported high frequency of malaria episodes in blood group A, AB, and B compared with other blood group individuals [9].

Impaired rosette formation due to increased sickling or reduced expression of erythrocyte surface adherence proteins in P. falciparum-infected HbAS and HbSS red blood cells contribute to protection against malaria [10, 11]. Cyto-adherance enables parasites to sequester in the vasculature and avoid clearance by the spleen, leading to endothelial activation and associated inflammation in the brain and other organs, important in the progression to severe malaria anaemia [12]. However, the link between haemoglobin AA, AS, and SS type and the incidence of malaria parasitaemia or immunity to malaria is still unclear in Kenya. Although some studies have reported that haemoglobin S genotype plays a significant role in modulating malaria in children, others have not [13, 14].

Increased oxidative stress impairs P. falciparum growth as well as accelerating ring stage erythrocyte senescence promoting phagocytic clearance and eryptosis of parasitized G6PD deficient cells [15,16,17] supporting the protection hypothesis. However, there is conflicting information on the effect of G6PD variant on falciparum malaria. Some studies have shown that G6PD normal are more vulnerable to Plasmodium falciparum malaria than the G6PD deficiency and heterozygous individuals [18], whereas others have reported an equal vulnerability among the various G6PD types [14].

Protection by AS haemoglobin genotype and G6PD deficiency against falciparum malaria is usually thought to act independently [17, 19]. In Mali, hemizygous G6PD (A−) condition in the male while sickle cell trait in female children is associated with protection against severe malaria anaemia [20]. Heterozygous G6PD (A−) interfered with the protective effect of haemoglobin AS in females while no evidence of negative epistasis between sickle trait and G6PD (A−) heterozygosity in males of the same population [20]. To our knowledge, however, no study has reported on the concurrent effect of haemoglobin and G6PD variant on malaria. Taken together, variations in reports in the association between red blood cell, haemoglobin, and G6PD type with malaria disease progression shows the complexity of interaction between parasite and host genetics and immunity factors [21, 22]. Moreover, the acquisition of relative immunity with age greatly confounds the influence of ABO blood group, G6PD and haemoglobin genotype on malaria [22]. Since young children have under-developed immunity against malaria and genetic diversity of G6PD, ABO blood groups and sickle cell trait and their ability to protect against malaria vary by region [23,24,25,26], it is important to determine the association between G6PD, ABO blood group and haemoglobin genotype with malaria among children in Kenya. As such, the present study determined effect of blood group, glucose-6-phosphate dehydrogenase and haemoglobin genotypes on P. falciparum malaria in children in Vihiga highland of western Kenya.

Methods

Study area and design

A cross-sectional study targeting children less than 3 years seeking treatment at Vihiga County Referral hospital, Vihiga, Western Kenya was carried out. Study participants were categorised as severe malaria anaemia (SMA; Hb < 5.0 g/dL, with any parasite density) and non-severe malaria anaemia (Non-SMA; Hb ≥ 5.0 g/dL, with any parasite density) There has been a marked increase in malaria in the Vihiga highland, nearly 1.3 times the overall rate in Kenya, largely due to the rise of drug-resistant strains of P. falciparum parasites [27, 28]. The ecology of the Vihiga highlands of Kenya supports stable transmission (thus is holoendemic) and increasing population pressure has led to agricultural changes creating ideal conditions for malaria vector proliferation [29]. Finally, Anopheles mosquitoes are generally highly zoophilic, rather than anthropophilic, thus becoming efficient human malaria vectors in Vihiga highland [30].

Sample size determination

The sample size was determined using the formula n = Z2pq/d2 [31].

Where:

n = the sample size required,

z = 1.96: confidence level test statistic at the desired level of significance,

p = 52.0%: prevalence of malaria [28].

q = 1-p: proportion of malaria uninfected and d = 0.05: acceptable error willing to be committed.

d = acceptable standard error of the mean.

Therefore n = (1.96 × 1.96 × 0.52 × 0.48) ÷ 0.052.

The optimum sample size estimated was n = 384. Therefore, this study required at least 384 study participants.

Study participants and sample collection

Children were recruited via random sampling method and stratified into either severe malaria anaemia (SMA) and non-severe malaria anaemia (non-SMA) [32] or uninfected healthy controls. Socio-demographic information such as age, sex and anti-malarial therapy were collected using a questionnaire (See Supplementary I). Plasmodium falciparum malaria positive children who had received anti-malarial treatment within 48 h prior to the microscopical confirmation of their blood slides for malaria parasites and children co-infected with P. falciparum and other species of plasmodium, and Human Immunodeficiency virus type 1 (HIV-1), Hepatitis B virus (HBV) and Hepatitis C virus (HCV) were excluded from the study. Approximately, 2.0 mL of blood was collected in anticoagulant tube from each study participant and used for HIV-1/2, HBV and HCV serological testing, [33] haemoglobin measurement, and microscopy malaria diagnosis. Haemoglobin measurements were determined using Hb Hemocue 301 (Kuvettgattan 1,SE-26271 Angelholm Sweden) within 10 min from the time of blood collection to minimize variability in the measurements. The system was calibrated every morning before sample analysis.

Malaria diagnosis

Thick and thin blood films were prepared from venous blood, stained with 10% Giemsa stain for 10 min and examined under a microscope. Parasite densities were calculated using the thick films by the WHO method (parasite count × 8000 divided by the number of WBCs counted which was 200) [32], and the thin films were used to establish the species of the parasites present. Films were classified as negative when no parasites are seen after two hundred microscopic fields had been examined. For purposes of quality control, slides were cross-examined independently by a senior microscopist and the results compared.

ABO blood group determination

ABO blood groups typing was performed by forward grouping using commercial antisera (Biotech laboratories Ltd., Ipswich, Suffolk, UK) according to manufacturer’s protocol. Briefly, one drop of whole blood was placed in three different places on a grease-free clean glass slide labelled A, B and D. A drop of antisera A was added on the area labelled A, anti-B on B and anti-D on D. The blood cells and the antisera were mixed using a wooden applicator stick. The slide was then tilted to check for agglutination and result recorded accordingly.

Hemoglobin genotyping

Haemoglobin genotypes were determined by cellulose acetate electrophoresis with Titan III plates according to the manufacturer’s protocols (Helena Bio-Sciences, Oxford, United Kingdom). Haemolysates prepared from blood samples and Hemo AFSC controls was dispensed onto the acetate paper, and haemoglobin variants separated by electrophoresis with an alkaline buffer at pH 8.6. The plates were then stained using Ponceau S stain, and haemoglobin genotypes scored using the Hemo AFSC control.

G6PD genotyping

Glucose-6-phosphate dehydrogenase (G6PD) deficiency was determined by a fluorescent spot test (Trinity Biotech Plc., Bray, Ireland) as per the manufacturer’s protocol. Blood was hemolyzed and spotted onto a filter paper. Assay solution containing glucose-6-phosphate and oxidized Nicotinamide adenine dinucleotide phosphate (NADP+) was added, and samples excited with ultraviolet (UV) light at 340 nm. Based on the presence or absence of fluorescence emissions, the samples were scored as normal (high emission), intermediate (moderate emission), or deficient (no emission).

Statistical analysis

Statistical analysis was performed using SPSS version 19.0 (IBM Corp., NY, USA). Proportions of sex between groups were determined by Chi-square test. Age, haemoglobin, parasitaemia, white blood cells (WBC), glucose and red blood cells (RBCs) levels between groups were determined using Mann-Whitney U test. Odds ratios were calculated with 95% confidence interval (CI) using logistic regression analyses. Statistical significance was set at P ≤ 0.05.

Results

Demographic and laboratory parameters

The demographic and laboratory measurements of the study participants are presented in Table 1. A total of 574 children were enrolled into this study comprising of 137 with Severe Malaria Anaemia (SMA, Hb < 5.0 g/dL with any parasite density) and 437 non-severe malaria anaemia (Hb ≥ 5.0 g/dL with any density parasitaemia). Sex distribution was not significant across the study groups (P = 0.540). Those with the SMA, 11.3 (11.6) mos. Were comparatively younger than those with non-SMA 14.6 (10.5) mos., P = 0.004. Haemoglobin concentrations were lower in children with SMA 4.2 (1.3) relative to the non-SMA 8.5 (2.2), P < 0.001. The concentrations of the white blood cells were higher in the SMA group; 13.5 (8.8) relative the non-SMA group 12.1 (6.2), P < 0.001. Furthermore, RBC counts were lower in children with SMA; 2.4 (0.8) when compared to the non-SMA group 3.5 (0.7), P < 0.001. Glucose concentrations were however similar between the two groups, P = 0.584.

Table 1 Demographic and clinical characteristics of study participants
Full size table

Influence of ABO blood group on P. falciparum malaria in children under 3 years in Vihiga County, Kenya

The prevalence of the ABO blood groups in the study population were as follows O; 254/574 (42.7%), B; 152/574 (26.4%), AB; 22/574 (3.8%) and A; 156/574 (27.1%). We then determined the distribution of the various blood groups within the study groups. Results demonstrated no significant differences between the blood groups within the study stratifications (P = 0.331). To further determine the influence of ABO blood group on P. falciparum malaria in children, we performed a multinomial logistics regression using the common O blood group as the reference group. At 95%CI, the B, AB and A blood groups did not significantly influence outcome of malaria i.e. B; (OR = 0.811, 95%CI = 0.507–1.296, P = 0.380), AB; (OR = 2.750, 95%CI = 0.621–12.173, P = 0.183) and A; (OR = 0.839, 95%CI = 0.526–1.341, P = 0.464), respectively, Table 2.

Table 2 Influence of ABO blood group on P. falciparum malaria in children under 3 years in Vihiga County, Kenya
Full size table

Influence of glucose-6-phosphate dehydrogenase on P. falciparum malaria infection in children under 3 years in Vihiga County, Kenya

Before determining the influence of the G6PD on malaria infection, we performed prevalence analysis. The data show that normal G6PD genotype were 360/574 (62.7%), intermediate genotype 201 (35.0%) and deficiency in G6PD was 13/574 (2.3%). Glucose-6-phosphate deficiency showed a significant differences between the two study groups. The carriage of intermediate status of the G6PD was higher in the SMA group relative to the non-SMA. Moreover, there were more individuals who were deficient of G6PD in the non-SMA group compared to SM (P = 0.040). Further, regression analysis revealed that the carriage of the intermediate status of G6PD was associated with risk to SMA (OR = 1.52, 95%CI = 1.029–2.266, P = 0.035). However, the carriage of the G6PD deficient status was not associated with SMA (OR = 0.306, 95%CI = 0.039–2.392, P = 0.259), Table 3.

Table 3 Influence of glucose-6-phosphate dehydrogenase on P. falciparum malaria infection in children under 3 years in Vihiga County, Kenya
Full size table

Influence of haemoglobin genotype on P. falciparum infection in children under 3 years in Vihiga County, Kenya

The prevalence of haemoglobin genotypes were as follows; AA 477/574 (83.1%), AS 93/574 (16.2%) and SS 4/574 (0.7%), respectively. Assessment of carriage of the sickle cell genetic variations revealed that there were 123 (89.8%) in SMA group and 354 (81%) of the AA in non-SMA group. Of the AS variation, there were 11 (8.0%) in the SMA group while 82 (18.8%) were in the non-SMA group (Table 4). Importantly, the variant SS were 3 (2.2%) in SMA group and 1 (0.2%) in non-SMA group. These differences were statistically significant (P = 0.001). When multinomial logistics regression was done with the AA as the reference group, the AS showed marginal association with protection against SMA (OR = 0.116, 95% CI = 0.012–1.124, P = 0.063). The carriage of the SS group could not run in the model to give a significant statistical meaning (Table 4).

Table 4 Influence of haemoglobin genotype on P. falciparum infection in children under 3 years in Vihiga County, Kenya
Full size table

Influence of co-inheritance of haemoglobin and G6PD genotypes on P. falciparum infection in children under 3 years in Vihiga County, Kenya

The distributions of the coinheritance of the Hb and G6PD variations are as presented in Table 5. Multinomial regression analysis of the co-inheritance of both the sickle cell trait and the G6PD variations revealed that the AA/Intermediate with reference to AA/normal G6PD had increased risk to SMA (OR = 1.536, 95%CI = 1.007–2.343, P = 0.046). In addition, the AS/normal showed protection against SMA (OR = 0.337, 95%CI = 0.156–0.915, P = 0.031). These findings show important influence of co-inheritance in malaria disease outcome.

Table 5 Influence of co-inheritance of haemoglobin and G6PD genotypes on P. falciparum infection in children under 3 years in Vihiga County, Kenya
Full size table

Discussion

Malaria remains one of the most important causes of morbidity and mortality in children leaving in endemic areas [1]. Highest mortality occurs in young children with under-developed protective immune mechanisms against the parasite. It has been previously shown that severe malaria anaemia accounts for 12% of all malaria related deaths [34]. A minority of children with certain red blood cell variants have a natural biological advantage thought to partially hamper parasite growth [21]. Therefore, it was imperative to investigate the effect of ABO, G6PD and haemoglobin variants on highland malaria in Kenyan children resident in western Kenya.

In the present study, we did not find a significant association between carriage of the blood group genotypes and severe malaria outcome in children. This finding is, however, inconsistent with previous studies involving Ghanaian children [9] in which blood group O showed partial protection. It has been shown that blood group O protects against malaria through reduced resetting [35] and by inducing high levels of anti-malarial IgG antibodies which directly inhibit parasite invasion or growth in erythrocytes, or indirectly by a mechanism involving cooperation between parasite-opsonising antibody and monocyte [36, 37]. Certain studies have reported absence of association between the ABO blood group system and P. falciparum malaria infection among children in Nigeria [8]. Other previous in vitro erythrocyte preference assays demonstrated that P. falciparum parasites prefer type O over type A erythrocytes [9]. These findings countered the known protective effect of group O against severe malaria, but additionally emphasised the complexities of host-pathogen interactions, and the need for highly quantitative and scalable assays. However, recent meta-analyses data involving 1923 articles obtained from the databases, demonstrated that ABO blood group may not affect susceptibility to asymptomatic and/or uncomplicated P. falciparum infection but showed that blood group O primiparous women appeared to be more susceptible to active placental P. falciparum infection [38]. Additional meta-analyses demonstrated that the difference in the level of P. falciparum parasitaemia was not significant among individuals with blood group A or non-O compared with blood group O. Furthermore, the difference in haemoglobin level among P. falciparum infected individuals was also not significant between those with blood group A, B or AB versus those with blood group O [39]. These inconsistencies maybe be due to geographic and ethnic distribution of the different ABO genetic blood polymorphisms associated with malaria protection in the regions [25].

Our current study did not show a significant association between the haemoglobin genotypes and malaria disease outcome. The findings of this study are consistent with previous studies reporting no association between haemoglobin AA, AS and SS genotype with malaria infection among children in Nyando County, Kenya [14]. However, these findings are inconsistent with other previous findings in Kenyan coast and Siaya which showed that children with haemoglobin AA have increased risk of developing severe malarial disease relative to children with haemoglobin SS in Kenya [13, 40,41,42]. These differences may be attributed to the extreme variability of α-globin and β-globin malaria resistance genes attributed to high amounts of standing variation or high mutation rates rapidly producing new adaptive alleles [43]. However, this phenomenon was not investigated in the current study.

The findings of this study showed that intermediate status of G6PD was associated with SMA. In addition the carriage of other G6PD variations did not show any association with malaria disease outcome. It is also important to note that genetic impact on infectious diseases is multigenic and not a single gene might reveal the actual effect. This is partly consistent with previous studies in Kilifi, Kenya, and Tanzania which showed protection with this particular variant in females but not males [18, 25]. However, other studies in Mali involving children with severe malaria indicated that hemizygous males and possibly, homozygous but not heterozygous females are protected from malaria [20] suggesting that the distribution of G6PD polymorphism is influenced by geographic area, sex and ethnic group and that genetic impact on infectious diseases is multigenic and not a single gene might reveal the actual effect.

We show in the current study that the co-inheritance of haemoglobin AA variations and G6PD intermediate status is associated risk of severe malaria while the carriage of the sickle cell trait and normal G6PD is associated with protection against severe malaria. This reveal that the effect of one gene on the other and that genes act in combination. This is an important finding that its mechanisms are worth investigation.

It is important to outline the limitations of our study. Several red blood cell polymorphisms, including those linked to pyruvate kinase, complement receptor-1 and haemoglobinopathies such as thalassaemia traits, have a role in the clinical outcome of malaria [42] and might be present among the population. Even though a prospective study would have been important in determining the effect of inherited blood disorders on malaria, this cross-sectional study demonstrated association between ABO, G6PD and haemoglobin type on malaria in Kenyan children.

Conclusion

This study reveals that blood groups do not have a significant influence on malaria disease outcome. Haemoglobin AS offers rather a marginal protection against severe compared to the normal haemoglobin. Carriage of the heterozygous G6PD type compared to the normal G6PD is associated with risk of severe malaria anaemia. The co-inheritance of Hb variations and G6PD variation are important predictors of malaria disease outcome in this region. The findings of this study underline the potential of the Genome Wide Association approach to provide candidates for the development of control measures against malaria in humans.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

Abbreviations

ABO:

ABO Blood group system

AFSC:

Control for haemoglobin type A, F, S and C

CI:

Confidence Interval

G6PD:

Glucose-6-phosphate dehydrogenase

Hb:

Haemoglobin

HBV:

Hepatitis B Virus

HCV:

Hepatitis C Virus

HIV-1:

Human Immunodeficiency Virus type 1

OR:

Odd Ratio

SMA:

Severe Malarial anaemia

SPSS:

Statistical Package for Social Scientists

RBC:

Red Blood Cell

WBC:

White Blood Cell

References

  1. WHO: World Malaria Day 2018 “Ready to beat malaria”; 2018.

    Google Scholar 

  2. Al-Harthi SA. Malaria drug resistant: current situation with reference to Saudi Arabia (review). J Egypt Soc Parasitol. 2011;41(3):553–64.

    PubMed  Google Scholar 

  3. Driss A, Hibbert JM, Wilson NO, Iqbal SA, Adamkiewicz TV, Stiles JK. Genetic polymorphisms linked to susceptibility to malaria. Malar J. 2011;10:271.

    Article  Google Scholar 

  4. Kaul DK, Roth EFJ, Nagel RL, Howard RJ, Handunnetti SM. Rosetting of Plasmodium falciparum-infected red blood cells with uninfected red blood cells enhances microvascular obstruction under flow conditions. Blood. 1991;78(3):812–9.

    Article  CAS  Google Scholar 

  5. Carlson J, Wahlgren M. Plasmodium falciparum erythrocyte rosetting is mediated by promiscuous lectin-like interactions. J Exp Med. 1992;176(5):1311–7.

    Article  CAS  Google Scholar 

  6. Udomsangpetch R, Todd J, Carlson J, Greenwood BM. The effects of hemoglobin genotype and ABO blood group on the formation of rosettes by Plasmodium falciparum-infected red blood cells. Am J Trop Med Hyg. 1993;48(2):149–53.

    Article  CAS  Google Scholar 

  7. Rowe JA, Claessens A, Corrigan RA, Arman M. Adhesion of Plasmodium falciparum-infected erythrocytes to human cells: molecular mechanisms and therapeutic implications. Expert Rev Mol Med. 2009;11(e16).

  8. Kuadzi JT, Ankra-Badu G, Addae MM. Plasmodium falciparum malaria in children at a tertiary teaching hospital: ABO blood group is a risk factor. Pan Afr Med J. 10:2.

  9. Afoakwah R, Aubyn E, Prah J, Nwaefuna EK, Boampong JN. Relative susceptibilities of ABO blood groups to Plasmodium falciparum malaria in Ghana. Adv Hematol. 2016;5368793.

  10. Gong L, Parikh S, Rosenthal PJ, Greenhouse B: Biochemical and immunological mechanisms by which sickle cell trait protects against malaria. 2013;12(317).

  11. Carlson J, Helmby H, Hill AV, Brewster D, Greenwood BM, Wahlgren M. Human cerebral malaria: association with erythrocyte rosetting and lack of anti-rosetting antibodies. Lancet. 1990;336(8729):1457–60.

    Article  CAS  Google Scholar 

  12. Dondorp AM, Pongponratn E, White NJ. Reduced microcirculatory flow in severe falciparum malaria: pathophysiology and electron-microscopic pathology. Acta Trop. 2004;89(3):309–17.

    Article  Google Scholar 

  13. McAuley CF, Webb C, Makani J, Macharia A, Uyoga S, Opi DH, Ndila C, Ngatia A, Scott JA, Marsh K, et al. High mortality from Plasmodium falciparum malaria in children living with sickle cell anemia on the coast of Kenya. Blood. 2010;116(10):1663–8.

    Article  CAS  Google Scholar 

  14. Suchdev PS, Ruth LJ, Earley M, Macharia A, Williams TN. The burden and consequences of inherited blood disorders among young children in western Kenya. Matern Child Nutr. 2014;10(1):135–44.

    Article  Google Scholar 

  15. Cappadoro M, Giribaldi G, O'Brien E, Turrini F, Mannu F, Ulliers D, Simula G, Luzzatto L, Arese P. Early phagocytosis of glucose-6-phosphate dehydrogenase (G6PD)-deficient erythrocytes parasitized by Plasmodium falciparum may explain malaria protection in G6PD deficiency. Blood. 1998;92(7):2527–34.

    Article  CAS  Google Scholar 

  16. Lang KS, Roll B, Myssina S, Schittenhelm M, Scheel-Walter HG, Kanz L, Fritz J, Lang F, Huber SM, Wieder T. Enhanced erythrocyte apoptosis in sickle cell anemia, thalassemia and glucose-6-phosphate dehydrogenase deficiency. Cell Physiol Biochem. 2002;12(5–6):365–72.

    Article  CAS  Google Scholar 

  17. Preuss J, Jortzik E, Becker K. Glucose-6-phosphate metabolism in Plasmodium falciparum. IUBMB Life. 2012;64(7):603–11.

    Article  CAS  Google Scholar 

  18. Uyoga S, Ndila CM, Macharia AW, Nyutu G, Shah S, Peshu N, Clarke GM, Kwiatkowski DP, Rockett KA, Williams TN. Glucose-6-phosphate dehydrogenase deficiency and the risk of malaria and other diseases in children in Kenya: a case-control and a cohort study. Lancet Haematol. 2015;2(10):e437–44.

    Article  Google Scholar 

  19. Lelliott PM, McMorran BJ, Foote SJ, Burgio G. The influence of host genetics on erythrocytes and malaria infection: is there therapeutic potential? Malar J. 2015;14:289.

    Article  Google Scholar 

  20. Guindo A, Traore K, Diakite S, Wellems TE, Doumbo OK, Diallo DA. An evaluation of concurrent G6PD (A-) deficiency and sickle cell trait in Malian populations of children with severe or uncomplicated P. falciparum malaria. Am J Hematol. 2011;86(9):795–6.

    Article  Google Scholar 

  21. de Mendonca VR, Goncalves MS, Barral-Netto M. The host genetic diversity in malaria infection. J Trop Med. 2012;940616.

  22. Jarra W. Protective immunity to malaria and anti-erythrocyte autoimmunity. CIBA Found Symp. 1983;94:137–58.

    CAS  PubMed  Google Scholar 

  23. Williams TN, Mwangi TW, Roberts DJ, Alexander ND, Weatherall DJ, Wambua S, Kortok M, Snow RW, Marsh K. An immune basis for malaria protection by the sickle cell trait. PLoS Med. 2005;2(5):e128.

    Article  Google Scholar 

  24. Maiga B, Dolo A, Campino S, Sepulveda N, Corran P, Rockett KA, Troye-Blomberg M, Doumbo OK, Clark TG. Glucose-6-phosphate dehydrogenase polymorphisms and susceptibility to mild malaria in Dogon and Fulani, Mali. Malar J. 2014;13:270.

    Article  Google Scholar 

  25. Manjurano A, Sepulveda N, Nadjm B, Mtove G, Wangai H, Maxwell C, Olomi R, Reyburn H, Riley EM, Drakeley CJ, et al. African glucose-6-phosphate dehydrogenase alleles associated with protection from severe malaria in heterozygous females in Tanzania. PLoS Genet. 2015;11(2):e1004960.

    Article  Google Scholar 

  26. Dewan G. Comparative frequency and allelic distribution of ABO and Rh (D) blood groups of major tribal communities of southern Bangladesh with general population and their determinants. ejmhg. 2015;16:141–7.

    Google Scholar 

  27. Zhong D, Afrane Y, Githeko A, Cui L, Menge DM, Yan G. Molecular epidemiology of drug-resistant malaria in western Kenya highlands. BMC Infect Dis. 2008;8(105).

  28. MOH: Vihiga County Health at a Glance. 2012.

    Google Scholar 

  29. Munga S, Minakawa N, Zhou G, Mushinzimana E, Barrack OO, Githeko AK, Yan G. Association between land cover and habitat productivity of malaria vectors in western Kenyan highlands. Am J Trop Med Hyg. 2006;74(1):69–75.

    Article  Google Scholar 

  30. Ndenga BA, Mulaya NL, Musaki SK, Shiroko JN, Dongus S, Fillinger U. Malaria vectors and their blood-meal sources in an area of high bed net ownership in the western Kenya highlands. Malar J. 2016;15:76.

    Article  Google Scholar 

  31. Bryan FJ. The design and analysis of research studies, . University of Otago. Uk: Cambridge University Press; 1992.

    Google Scholar 

  32. WHO. Management of severe malaria. 3rd ed; 2012.

    Google Scholar 

  33. NASCOP: National guidelines for HIV testing and counseling: Ministry of public health and sanitation; 2010.

    Google Scholar 

  34. Obonyo CO, Vulule J, Akhwale WS, Grobbee DE. In-hospital morbidity and mortality due to severe malarial anemia in western Kenya. Am J Trop Med Hyg. 2007;77(6 Suppl):23–8.

    PubMed  Google Scholar 

  35. Rowe JA, Handel IG, Thera MA, Deans AM, Lyke KE, Kone A, Diallo DA, Raza A, Kai O, Marsh K, et al. Blood group O protects against severe Plasmodium falciparum malaria through the mechanism of reduced rosetting. Proc Natl Acad Sci U S A. 2007;104(44):17471–6.

    Article  CAS  Google Scholar 

  36. Nasr A, Eltoum M, Yassin A, ElGhazali G. Blood group O protects against complicated Plasmodium falciparum malaria by the mechanism of inducing high levels of anti-malarial IgG antibodies; 2012.

    Book  Google Scholar 

  37. Zhou J, Ludlow LE, Hasang W, Rogerson SJ, Jaworowski A. Opsonization of malaria-infected erythrocytes activates the inflammasome and enhances inflammatory cytokine secretion by human macrophages. Malar J. 2012;11:343.

  38. Degarege A, Gebrezgi MT, Beck-Sague CM, Wahlgren M, de Mattos LC, Madhivanan P. Effect of ABO blood group on asymptomatic, uncomplicated and placental Plasmodium falciparum infection: systematic review and meta-analysis. BMC Infect Dis. 2019;19(1):86.

    Article  Google Scholar 

  39. Degarege A, Gebrezgi MT, Ibanez G, Wahlgren M, Madhivanan P. Effect of the ABO blood group on susceptibility to severe malaria: a systematic review and meta-analysis. Blood Rev. 2019;33:53–62.

    Article  CAS  Google Scholar 

  40. 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(9314):1311–2.

    Article  CAS  Google Scholar 

  41. Komba AN, Makani J, Sadarangani M, Ajala-Agbo T, Berkley JA, Newton CR, Marsh K, Williams TN. Malaria as a cause of morbidity and mortality in children with homozygous sickle cell disease on the coast of Kenya. Clin Infect Dis. 2009;49(2):216–22.

    Article  Google Scholar 

  42. Williams TN. Human red blood cell polymorphisms and malaria. Curr Opin Microbiol. 2006;9(4):388–94.

    Article  CAS  Google Scholar 

  43. Hedrick PW. Resistance to malaria in humans: the impact of strong, recent selection. Malar J. 2012;11:349.

Download references

Acknowledgements

We would also like to express our gratitude to Vihiga County Referral Hospital staffs for their cooperation during the study. This study would not have been realized without voluntary participation of children of Vihiga County, Kenya.

Ethical approval and consent to participate

This study was ethically approved by Maseno University Ethical Review Committee (REF: MSU/DRPC/MUERC/00275/16) and was conducted according to Helsinki’s declaration. Written informed consent was obtained from all participants and confidentiality was ensured throughout the study. For the participants below 16 years, the parents/guardians provided informed consent. Blood smear positive study participants were treated for malaria according to the national guidelines. HIV-1, HBV and HCV infected children were referred to comprehensive care clinic at Vihiga County Hospital for special care and treatment.

Funding

The study received financial support from National Research Fund (NRF) grant awarded to Jafarali Ahmed Sande, Kenya. However, the funding body did not participate in the design of the study, collection, analysis, and interpretation of data, and in writing the manuscript.

Author information

Authors and Affiliations

  1. Department of Biomedical Sciences and Technology, Maseno University, Maragoli, Kenya

    Jafaralli Sande Ahmed, Bernard Guyah, David Sang’ & Collins Ouma

  2. Department of Health, County Government of Vihiga, Vihiga, Kenya

    Jafaralli Sande Ahmed

  3. School of Health Sciences, Kirinyaga University, Kerugoya, Kenya

    Mark Kilongosi Webale & Elly Munde

  4. Department of Biomedical Sciences and Technology, Masinde Muliro University of Science and Technology, Kakamega, Kenya

    Mark Kilongosi Webale & Nathan Shaviya Mufyongo

Authors
  1. Jafaralli Sande Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bernard Guyah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David Sang’
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mark Kilongosi Webale
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Nathan Shaviya Mufyongo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Elly Munde
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Collins Ouma
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JSA, BG and DS conceived and designed the study. JSA, MKW, NSM, EM and CO drafted the manuscript and performed data analysis. CO reviewed the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Collins Ouma.

Ethics declarations

Consent for publication

Not Applicable.

Competing interests

Nothing to report.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmed, J.S., Guyah, B., Sang’, D. et al. Influence of blood group, Glucose-6-phosphate dehydrogenase and Haemoglobin genotype on Falciparum malaria in children in Vihiga highland of Western Kenya. BMC Infect Dis 20, 487 (2020). https://doi.org/10.1186/s12879-020-05216-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-020-05216-y

Keywords