Dataset Information

NCR3 polymorphism, haematological parameters, and severe malaria in Senegalese patients.

ABSTRACT: Background:Host factors, including host genetic variation, have been shown to influence the outcome of Plasmodium falciparum infection. Genome-wide linkage studies have mapped mild malaria resistance genes on chromosome 6p21, whereas NCR3-412 polymorphism (rs2736191) lying within this region was found to be associated with mild malaria. Methods:Blood samples were taken from 188 Plasmodium falciparum malaria patients (76 mild malaria patients, 85 cerebral malaria patients, and 27 severe non-cerebral malaria patients). NCR3-412 (rs2736191) was analysed by sequencing, and haematological parameters were measured. Finally, their association with clinical phenotypes was assessed. Results:We evidenced an association of thrombocytopenia with both cerebral malaria and severe non-cerebral malaria, and of an association of high leukocyte count with cerebral malaria. Additionally, we found no association of NCR3-412 with either cerebral malaria, severe non-cerebral malaria, or severe malaria after grouping cerebral malaria and severe non-cerebral malaria patients. Conclusions:Our results suggest that NCR3 genetic variation has no effect, or only a small effect on the occurrence of severe malaria, although it has been strongly associated with mild malaria. We discuss the biological meaning of these results. Besides, we confirmed the association of thrombocytopenia and high leukocyte count with severe malaria phenotypes.

SUBMITTER: Thiam A

PROVIDER: S-EPMC6282937 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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<i>NCR3</i> polymorphism, haematological parameters, and severe malaria in Senegalese patients.

Thiam Alassane A Baaklini Sabrina S Mbengue Babacar B Nisar Samia S Diarra Maryam M Marquet Sandrine S Fall Mouhamadou Mansour MM Sanka Michel M Thiam Fatou F Diallo Rokhaya Ndiaye RN Torres Magali M Dieye Alioune A Rihet Pascal P

PeerJ 20181203

<h4>Background</h4>Host factors, including host genetic variation, have been shown to influence the outcome of <i>Plasmodium falciparum</i> infection. Genome-wide linkage studies have mapped mild malaria resistance genes on chromosome 6p21, whereas <i>NCR3-412</i> polymorphism (rs2736191) lying within this region was found to be associated with mild malaria.<h4>Methods</h4>Blood samples were taken from 188 <i>Plasmodium falciparum</i> malaria patients (76 mild malaria patients, 85 cerebral malar ...[more]

PMID: 30533319

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Project description:BackgroundMalaria is still a major global health burden, with more than 3.2 billion people in 91 countries remaining at risk of the disease. Accurately distinguishing malaria from other diseases, especially uncomplicated malaria (UM) from non-malarial infections (nMI), remains a challenge. Furthermore, the success of rapid diagnostic tests (RDTs) is threatened by Pfhrp2/3 deletions and decreased sensitivity at low parasitaemia. Analysis of haematological indices can be used to support the identification of possible malaria cases for further diagnosis, especially in travellers returning from endemic areas. As a new application for precision medicine, we aimed to evaluate machine learning (ML) approaches that can accurately classify nMI, UM, and severe malaria (SM) using haematological parameters.MethodsWe obtained haematological data from 2,207 participants collected in Ghana: nMI (n = 978), SM (n = 526), and UM (n = 703). Six different ML approaches were tested, to select the best approach. An artificial neural network (ANN) with three hidden layers was used for multi-classification of UM, SM, and uMI. Binary classifiers were developed to further identify the parameters that can distinguish UM or SM from nMI. Local interpretable model-agnostic explanations (LIME) were used to explain the binary classifiers.ResultsThe multi-classification model had greater than 85% training and testing accuracy to distinguish clinical malaria from nMI. To distinguish UM from nMI, our approach identified platelet counts, red blood cell (RBC) counts, lymphocyte counts, and percentages as the top classifiers of UM with 0.801 test accuracy (AUC = 0.866 and F1 score = 0.747). To distinguish SM from nMI, the classifier had a test accuracy of 0.96 (AUC = 0.983 and F1 score = 0.944) with mean platelet volume and mean cell volume being the unique classifiers of SM. Random forest was used to confirm the classifications, and it showed that platelet and RBC counts were the major classifiers of UM, regardless of possible confounders such as patient age and sampling location.ConclusionThe study provides proof of concept methods that classify UM and SM from nMI, showing that the ML approach is a feasible tool for clinical decision support. In the future, ML approaches could be incorporated into clinical decision-support algorithms for the diagnosis of acute febrile illness and monitoring response to acute SM treatment particularly in endemic settings.

Project description:BackgroundPlasmodium falciparum malaria is a leading cause of pediatric morbidity and mortality in holoendemic transmission areas. Severe malarial anemia [SMA, hemoglobin (Hb) < 5.0 g/dL in children] is the most common clinical manifestation of severe malaria in such regions. Although innate immune response genes are known to influence the development of SMA, the role of natural killer (NK) cells in malaria pathogenesis remains largely undefined. As such, we examined the impact of genetic variation in the gene encoding a primary NK cell receptor, natural cytotoxicity-triggering receptor 3 (NCR3), on the occurrence of malaria and SMA episodes over time.MethodsSusceptibility to malaria, SMA, and all-cause mortality was determined in carriers of NCR3 genetic variants (i.e., rs2736191:C > G and rs11575837:C > T) and their haplotypes. The prospective observational study was conducted over a 36 mos. follow-up period in a cohort of children (n = 1,515, aged 1.9-40 mos.) residing in a holoendemic P. falciparum transmission region, Siaya, Kenya.ResultsPoisson regression modeling, controlling for anemia-promoting covariates, revealed a significantly increased risk of malaria in carriers of the homozygous mutant allele genotype (TT) for rs11575837 after multiple test correction [Incidence rate ratio (IRR) = 1.540, 95% CI = 1.114-2.129, P = 0.009]. Increased risk of SMA was observed for rs2736191 in children who inherited the CG genotype (IRR = 1.269, 95% CI = 1.009-1.597, P = 0.041) and in the additive model (presence of 1 or 2 copies) (IRR = 1.198, 95% CI = 1.030-1.393, P = 0.019), but was not significant after multiple test correction. Modeling of the haplotypes revealed that the CC haplotype had a significant additive effect for protection against SMA (i.e., reduced risk for development of SMA) after multiple test correction (IRR = 0.823, 95% CI = 0.711-0.952, P = 0.009). Although increased susceptibility to SMA was present in carriers of the GC haplotype (IRR = 1.276, 95% CI = 1.030-1.581, P = 0.026) with an additive effect (IRR = 1.182, 95% CI = 1.018-1.372, P = 0.029), the results did not remain significant after multiple test correction. None of the NCR3 genotypes or haplotypes were associated with all-cause mortality.ConclusionsVariation in NCR3 alters susceptibility to malaria and SMA during the acquisition of naturally-acquired malarial immunity. These results highlight the importance of NK cells in the innate immune response to malaria.

Project description:BACKGROUND:Malaria and the human immunodeficiency virus (HIV) infection constitute public health problems in Cameroon including the South West Region (SWR). This study determined the prevalence of malaria parasites and haematological abnormalities in HIV positive patients in Limbe, Cameroon from April-July 2014. METHODS:The study was cross-sectional and involved 411 participants who were administered structured questionnaires to record socio-demographic and clinical data. Three hundred and nine (309) HIV positive patients and one hundred and two (102) HIV negative individuals were examined clinically and venous blood collected for malaria parasite detection, HIV infection diagnosis and full blood count analysis. RESULTS:Overall malaria parasite prevalence was 14.1% (58/411). This prevalence was significantly higher (P?<? 0.001) in the HIV negative participants (33.3%, 34/102) compared to the HIV positive patients (7.8%, 24/309). Amongst HIV positive participants, malaria parasite prevalence was significantly higher in female patients (P?=?0.003), febrile patients (P?<? 0.001), anaemic patients (P?=?0.015) and in patients who were not on antiretroviral treatment (ART) (P?=?0.03) when compared with their respective counterparts. Among the HIV negative group, though not significant, malaria parasite prevalence was higher in females, febrile and anaemic patients when compared with their respective counterparts. Overall anaemia prevalence was 52.1% (214/309) and was significantly higher (P?=?0.004) in HIV positive patients (56%, 173) than in HIV negative participants (40.2%, 41). Malaria/HIV co-infected patients had a significantly lower mean value of Hb (P?=?0.002), RBC (P?=?0.002) and Hct (P?=?0.001) when compared with HIV-infected patients. CONCLUSION:HIV negative participants had a higher prevalence of malaria parasites than their HIV positive counterparts. Anaemia prevalence was higher in HIV positive patients than in HIV negative participants. Malaria/HIV co-infected patients presented with more red blood cell abnormalities than HIV-infected patients.

Project description:BackgroundIn Plasmodium falciparum infection, clinical conditions such as anaemia, thrombocytopenia and leukocytosis are common. Mutation in haemoglobin sub-unit beta gene (HBB) may be a genetic factor responsible for these haematological changes during infection. However, the contributions of the carriage of different HBB genotypes on these changes remain largely unknown.MethodologyIn this cross-sectional study, we evaluated haematological abnormalities in P. falciparum-infected children (n = 217, aged 1-192 months) with different haemoglobin sub-unit beta (HBB) genotypes (HbAA, HbAS and HbSS). Children with acute febrile conditions were recruited at Jaramogi Oginga Odinga Teaching and Referral Hospital at the outpatient clinic. Haematological parameters were determined using Beckman Coulter counter ACTdiff2™ while HBB genotyping was done using TaqMan® SNP genotyping assay. Chi-square (χ2) was used to determine differences between proportions. Differences in haematological parameters were compared across groups using Kruskal Wallis test and between groups using Mann Whitney U test. Partial correlation test was used to determine correlation between haematological parameters and sickle cell genotypes while controlling for age and sex.ResultsHaemoglobin (Hb), [median (IQR); 7.3 (1.3), P = 0.001], haematocrit (HCT), [median (IQR); 26.4 (4.4), P = 0.009], red blood cells (RBC), [median (IQR); 3.2 (1.7), P = 0.048] were markedly reduced in HbSS, however, red cell distribution with (RDW) [median (IQR); 14.9 (3.3), P = 0.030] was increased in malaria infected children with HbSS. Severe anaemia was highest in HbSS (23.1%) followed by HbAA (8.6%) and HbAS (7.1%). There were no differences in platelet count (P = 0.399) hence no severe thrombocytopeania across the genotypes. Leukocytosis was highest in HbSS (69.2%), 42% in HbAS and 31% in HbAA. The RBC, HCT and Hb had negative correlation with RDW in HbSS in malarial-infected children (r = - 0.725, P = 0.008), (r = - 0.718, P = 0.009) and (r = - 0.792, P = 0.002), respectively.ConclusionOur study reveals that anaemia is the most common abnormality in malaria-infected children with carriage of HbSS. The RBC, HCT and Hb concentration decrease with increase in RDW levels in infected children with carriage of HbSS compared to other HBB genotypes. Therefore, carriage of HbSS genotype is correlated with severity of haematological abnormalities.

Project description:BackgroundSickle cell disease (SCD) is a monogenic disorder due to point mutation in the β-globin gene resulting in substitution of Valine for Glutamic acid. The SCD is prevalent in P. falciparum endemic regions such as western Kenya. Carriage of different sickle cell genotypes may influence haematological parameter during malaria. Children resident in malaria holoendemic regions suffer more from malaria-related complications and this is moderated by the presence of the SCD. In the current study, we determined the association between sickle cell genotypes and haematological parameters in children with P. falciparum malaria resident in Kisumu County in Western Kenya.MethodologyChildren (n = 217, aged 1-192 months) with acute febrile condition were recruited at Jaramogi Oginga Odinga Teaching and Referral Hospital. Chi-square (χ2) analysis was used to determine differences between proportions. Differences in haematological parameters were compared across groups using Kruskal Wallis test and between groups using Mann Whitney U test. Multivariate logistic regression analysis controlling for infection status was used to determine the association between sickle cell genotypes and haematological parameters.ResultsUsing HbAA as the reference group, multivariate logistic regression analysis revealed that carriage of HbSS was associated with reduced haemoglobin [OR = 0.310, 95% CI = 0.101-0.956, P = 0.041], reduced haematocrit [OR = 0.318, 95% CI = 0.128-0.793, P = 0.014], reduced RBC count [OR = 0.124, 95% CI = 0.045-0.337, P = 0.001], reduced MCHC [OR = 0.325, 95% CI = 0.118-0.892, P = 0.029], increased leucocytosis [OR = 9.283, 95% CI = 3.167-27.210, P = 0.001] and reduced monocytosis [OR = 0.319, 95% CI = 0.123-0.830, P = 0.019]. However, carriage of HbAS was only associated with increased micro-platelets [OR = 3.629, 95% CI = 1.291-8.276, P = 0.012].ConclusionResults show that carriage of HbSS in children influence the levels of haemoglobin, haematocrit, RBC, MCHC, WBC and Monocytes. Therefore prior knowledge of HbSS should be considered to improve clinical management of haematological alterations during malaria in children.

Dataset Information

NCR3 polymorphism, haematological parameters, and severe malaria in Senegalese patients.

Publications

<i>NCR3</i> polymorphism, haematological parameters, and severe malaria in Senegalese patients.

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