Despite the high burden of Plasmodium vivax malaria in South Asian countries, the genetic diversity of circulating parasite populations is not well described. Determinants of antimalarial drug susceptibility for P. vivax in the region have not been characterised. Our genomic analysis of global P. vivax (n = 558) establishes South Asian isolates (n = 92) as a distinct subpopulation, which shares ancestry with some East African and South East Asian parasites. Signals of positive selection are linked to drug resistance-associated loci including pvkelch10, pvmrp1, pvdhfr and pvdhps, and two loci linked to P. vivax invasion of reticulocytes, pvrbp1a and pvrbp1b. Significant identity-by-descent was found in extended chromosome regions common to P. vivax from India and Ethiopia, including the pvdbp gene associated with Duffy blood group binding. Our investigation provides new understanding of global P. vivax population structure and genomic diversity, and genetic evidence of recent directional selection in this important human pathogen.
BackgroundPregnancy poses specific challenges for the diagnosis of Plasmodium falciparum infection due to parasite sequestration in the placenta, which translates in low circulation levels in peripheral blood. The aim of this study is to assess the performance of a new highly sensitive rapid diagnostic test (HS-RDT) for the detection of malaria in peripheral and placental blood samples from pregnant women in Colombia.MethodsThis is a retrospective study using 737 peripheral and placental specimens collected from pregnant women in Colombian malaria-endemic regions. Light microscopy (LM), conventional rapid diagnostic tests (Pf/Pv RDT and Pf RDT), and HS-RDT testing were performed. Diagnostic accuracy endpoints of LM, HS-RDT and RDTs were compared with nested polymerase chain reaction (nPCR) as the reference test.ResultsIn comparison with nPCR, the sensitivity of HS-RDT, Pf RDT, Pf/Pv RDT and LM to detect infection in peripheral samples was 85.7% (95% CI = 70.6–93.7), 82.8% (95% CI = 67.3–91.9), 77.1% (95% CI = 61.0–87.9) and 77.1% (95% CI = 61.0–87.9) respectively. The sensitivity to detect malaria in asymptomatic women, was higher with HS-RDT, where LM and Pf/Pv RDT missed half of infections detected by nPCR, but differences were not significant. Overall, specificity was similar for all tests (>99.0%). In placental blood, the prevalence of infection by P. falciparum by nPCR was 2.8% (8/286), by HS-RDT was 1% and by conventional RDTs (Pf RDT and Pf/Pv RDT) and LM was 0.7%. The HS-RDT detected placental infections in peripheral blood that were negative by LM and Pf/Pv RDT, however the number of positive placentas was low.ConclusionsThe sensitivity of HS-RDT to detect P. falciparum infections in peripheral and placental samples from pregnant women was slightly better compared to routinely used tests during ANC visits and at delivery. Although further studies are needed to guide recommendations on the use of the HS-RDT for malaria case management in pregnancy, this study shows the potential value of this test to diagnose malaria in pregnancy in low-transmission settings.
Abstract. In malaria-endemic regions of Latin America, little is known about malaria in pregnancy. To characterize the clinical and laboratory findings of maternal infection, we evaluated 166 cases of pregnant women infected with Plasmodium spp. in a prospective study conducted in northwestern Colombia during [2005][2006]. A total of 89.8% (149 of 166) had fever or a history of fever in the past 48 hours, 9.0% (15 of 166) had severe malaria, of which 66.7% was caused by Plasmodium vivax and 33.3% by P. falciparum. Hepatic dysfunction was the main complication (9 of 15) observed. The proportion of severe cases was similar for both species (P = 0.41). In malaria-endemic areas of Colombia, malaria in pregnancy has a broad clinical spectrum. In pregnant women, P. vivax infection frequently leads to organspecific complications.
This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of Plasmodium vivax collected at 88 worldwide locations between 2001 and 2017. It includes 1,370 new samples contributed by MalariaGEN and VivaxGEN partner studies in addition to previously published samples from these and other sources. We provide genotype calls at over 4.5 million variable positions including over 3 million single nucleotide polymorphisms (SNPs), as well as short indels and tandem duplications. This enlarged dataset highlights major compartments of parasite population structure, with clear differentiation between Africa, Latin America, Oceania, Western Asia and different parts of Southeast Asia. Each sample has been classified for drug resistance to sulfadoxine, pyrimethamine and mefloquine based on known markers at the dhfr, dhps and mdr1 loci. The prevalence of all of these resistance markers was much higher in Southeast Asia and Oceania than elsewhere. This open resource of analysis-ready genome variation data from the MalariaGEN and VivaxGEN networks is driven by our collective goal to advance research into the complex biology of P. vivax and to accelerate genomic surveillance for malaria control and elimination.
Background: The humoral immune response against Anopheles salivary glands proteins in the vertebrate host can reflect the intensity of exposure to Anopheles bites and the risk of Plasmodium infection. In Colombia, the identification of exposure biomarkers is necessary due to the several Anopheles species circulating. The purpose of this study was to evaluate risk of malaria infection by measuring antibody responses against salivary glands extracts from Anopheles (Nyssorhynchus) albimanus and Anopheles (Nys.) darlingi and also against the gSG6-P1 peptide of Anopheles gambiae in people residing in a malaria endemic area in the Colombian Pacific coast. Methods: Dried blood spots samples were eluted to measure the IgG antibodies against salivary gland extracts of An. albimanus strains STECLA (STE) and Cartagena (CTG) and An. darlingi and the gSG6-P1 peptide by ELISA in uninfected people and microscopic and submicroscopic Plasmodium carriers from the Colombia Pacific Coast. A multiple linear mixed regression model, Spearman correlation, and Mann-Whitney U-test were used to analyse IgG data. Results: Significant differences in specific IgG levels were detected between infected and uninfected groups for salivary glands extracts from An. albimanus and for gSG6-P1, also IgG response to CTG and gSG6-P1 peptide were positively associated with the IgG response to Plasmodium falciparum in the mixed model. Conclusion: The CTG and STE An. albimanus salivary glands extracts are a potential source of new Anopheles salivary biomarkers to identify exposure to the main malaria vector and to calculate risk of disease in the Colombian Pacific coast. Also, the gSG6-P1 peptide has the potential to quantify human exposure to the subgenus Anopheles vectors in the same area.
Imported cases present a considerable challenge to the elimination of malaria. Traditionally, patient travel history has been used to identify imported cases, but the long-latency liver stages confound this approach in Plasmodium vivax. Molecular tools to identify and map imported cases offer a more robust approach, that can be combined with drug resistance and other surveillance markers in high-throughput, population-based genotyping frameworks. Using a machine learning approach incorporating hierarchical FST (HFST) and decision tree (DT) analysis applied to 831 P. vivax genomes from 20 countries, we identified a 28-Single Nucleotide Polymorphism (SNP) barcode with high capacity to predict the country of origin. The Matthews correlation coefficient (MCC), which provides a measure of the quality of the classifications, ranging from −1 (total disagreement) to 1 (perfect prediction), exceeded 0.9 in 15 countries in cross-validation evaluations. When combined with an existing 37-SNP P. vivax barcode, the 65-SNP panel exhibits MCC scores exceeding 0.9 in 17 countries with up to 30% missing data. As a secondary objective, several genes were identified with moderate MCC scores (median MCC range from 0.54-0.68), amenable as markers for rapid testing using low-throughput genotyping approaches. A likelihood-based classifier framework was established, that supports analysis of missing data and polyclonal infections. To facilitate investigator-lead analyses, the likelihood framework is provided as a web-based, open-access platform (vivaxGEN-geo) to support the analysis and interpretation of data produced either at the 28-SNP core or full 65-SNP barcode. These tools can be used by malaria control programs to identify the main reservoirs of infection so that resources can be focused to where they are needed most.
BackgroundBabesia bigemina and B. bovis are two economically important hemoparasites affecting both cattle and buffaloes involved in dairy and beef production. In Colombia, although some parasitological and serological studies suggest an endemicity of these pathogens in areas under 1000 m, little is known about its molecular prevalence in different host. The objective of this study was to estimate the prevalence and molecular traits of these parasites in cattle and buffaloes from two Colombian regions.MethodsBetween 2014 and 2016, a three-point longitudinal survey was designed in farms from Caribbean and Orinoquia regions to evaluate the molecular prevalence of B. bigemina and B. bovis using a nested PCR (n-PCR) targeting hypothetical protein (hyp) and rhoptry-associated protein (RAP-1) genes, respectively. A total of 1432 cattle, 152 buffalo and 1439 Rhipicephalus microplus samples were analyzed. Moreover, phylogenetic relationship of isolates was analyzed using the 18S rRNA gene.ResultsA molecular prevalence of 31.6% (24.2% for B. bigemina and 14.4% for B. bovis), 23.6% (6.5% for B. bigemina and 17.7% for B. bovis) and 4.3% (3.5% for B. bigemina and 1.0% for B. bovis) was observed in cattle, buffaloes and Rhipicephalus microplus, respectively. Higher values of infection were observed during the wet season and late wet season; nevertheless, other variables such as age, production type, sex, breed and babesiosis control were also significantly associated with infection. Prevalence analysis showed that B. bovis infection was higher in cattle that coexist with buffaloes, when compared to those which did not. For each species, phylogenetic analyses revealed a high genetic diversity of isolates without clusters related to the isolation source.ConclusionsTo our knowledge, this is the first longitudinal survey that evaluates through molecular methods, the infection of B. bigemina and B. bovis in two important livestock regions from Colombia. This study reveals that the prevalence of infection by Babesia spp., in cattle and buffaloes are modulated by seasonal variations, host factors and vector traits. Our results provide new insights on the epidemiological aspects of infection of Babesia spp., in cattle and buffaloes, which must be taken into consideration when babesiosis control programs are implemented in the study area.Electronic supplementary materialThe online version of this article (10.1186/s13071-018-3091-2) contains supplementary material, which is available to authorized users.
RESUMOIntrodução: É frequente a associação da malária com complicações como prematuridade, retardo no crescimento intrauterino, baixo peso ao nascer e mortalidade infantil, efeitos pouco estudados em áreas hipoendêmicas para malaria. O objetivo deste estudo foi analisar a relação da malária gestacional com estes efeitos em recém-nascidos numa região endêmica para malária na Colômbia, entre 1993 e 2007. Métodos: Foram estudadas as características em 1.716 recém-nascidos num estudo de coorte. Fez-se seguimento em 394 gestantes com malária (27% por Plasmodium falciparum e 73% por P. vivax) e 1.322 sem malária. Resultados: Foi encontrada uma relação entre a exposição à malária na gestação e o risco maior de baixo peso ao nascer (RR = 1,37; 1,03-1,83), assim como estatura baixa (RR = 1,52; 1,25-1,85), retardo no crescimento intrauterino (RR = 1,29; 1,0-1,66) e prematuridade (RR = 1,68; 1,3-2,17). A frequência de nascimentos prematuros foi maior nas mães com malária por P. falciparum (77%) que aquelas com P. vivax (RR = 1,77; IC 95%: 1,2-2,6). Conclusões: O baixo peso ao nascer e o retardo no crescimento foi associado com malária na gestação na Colômbia. A infecção por P. vivax foi relacionada com efeitos adversos sobre o recém-nascido, de modo semelhante em relação ao P. falciparum. Palavras-chaves: Malária na gestação. Recém-nascidos. Peso ao nascer. Retardo no crescimento intrauterino. Prematuridade. ABSTRACT Introduction:Association between malaria and pregnancy complications, such as prematurity, intrauterine growth restriction, low birthweight and infant mortality has been reported. These effects have been studied widely in areas hyperendemic for malaria, but studies in low-endemic areas are scarce. The study investigated the relation between gestational malaria and low birthweight and intrauterine growth retardation in neonates of a malarial endemic region in Colombia, between 1993 and 2007. Methods: The pattern of development in 1,716 neonates of women with and without malaria infection during pregnancy was evaluated in a cohort study. A total of 394 infected (27% by P. falciparum and 73% by P. vivax) and 1,322 noninfected pregnant women were followed. Results: Exposure to gestational malaria was associated with increased risk of low birth weight (RR = 1.37; 1.03-1.83), short height (RR = 1.52; 1.25-1.85), intrauterine growth retardation (RR = 1.29; 1.0-1.66) and prematurity (RR = 1.68; 1.3-2.17). Prematurity was 77% higher in infants of mothers with malaria by P. falciparum than infants of mothers with malaria by P. vivax (RR = 1.77; 1.2-2.6). Conclusions: Low birth weight and intrauterine growth retardation were associated with malaria during pregnancy. Infection with P. vivax was related with adverse effects on the newborn, similar to that reported for P. falciparum.
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