84 research outputs found

    Immunoglobulin response to Plasmodium falciparum RESA proteins in uncomplicated and severe malaria

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    Background: The three members of the ring-infected erythrocyte surface antigen (RESA) proteins family share high sequence homologies, which impair the detection and assignment to one or another protein of some pathogenic processes inherent to Plasmodium falciparum malaria. The present study was intended to determine if the antibody and inflammatory responses of children living in a malaria-endemic area varied depending on the RESA-1, RESA-2 or RESA-3 proteins and the severity of the disease, two groups of severe and uncomplicated malaria cases being considered. Methods: Two synthetic peptides representing predicted B cell epitopes were designed per RESA protein, all located outside of the 3' and 5' repetition blocks, in order to allow an antibody detection specific of each member of the family. Recombinant rRESA-1B and rRESA-3B proteins were also engineered. Two groups of Beninese children admitted to hospital in 2009 for either uncomplicated or severe malaria were compared for their plasma levels of IgG specifically recognizing each recombinant RESA protein or synthetic peptide, and for their plasma inflammatory cytokine levels (IFN-gamma, TNF-alpha and IL-10), taking into account host and parasite genetic factors. Results: The absence of IgG cross-reactivity between rRESA proteins and their protein carrier as well as between each RESA peptide and a non-epitopic RESA control peptide validated the use of the engineered recombinant proteins and peptides for the measurement of plasma IgG. Taking into account age, fever duration and parasitaemia, a multiple logistic regression performed on children clustered according to their antibody responses' profiles concluded to an increased risk of severe malaria for P2 (representative of RESA-1) responders (P = 0.007). Increased IL-10 plasma levels were found in children harbouring multiclonal P. falciparum infections on the basis of the T1526G resa2 gene polymorphism (P = 0.004). Conclusions: This study provided novel tools to dissect the seroreactivity against the three members of the RESA protein family and to describe its relation to protection against malaria. It suggested the measurement of plasma antibodies raised against specific peptides to serve as predictive immunologic markers for disease severity. Lastly, it reinforced previous observations linking the T1526G resa2 gene mutation to severe malaria

    Acquisition of natural humoral immunity to <i>P. falciparum</i> in early life in Benin:impact of clinical, environmental and host factors

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    To our knowledge, effects of age, placental malaria infection, infections during follow-up, nutritional habits, sickle-cell trait and individual exposure to Anopheles bites were never explored together in a study focusing on the acquisition of malaria antibody responses among infants living in endemic areas. Five hundred and sixty-seven Beninese infants were weekly followed-up from birth to 18 months of age. Immunoglobulin G (IgG), IgG1 and IgG3 specific for 5 malaria antigens were measured every 3 months. A linear mixed model was used to analyze the effect of each variable on the acquisition of antimalarial antibodies in 6- to 18-month old infants in univariate and multivariate analyses. Placental malaria, nutrition intakes and sickle-cell trait did not influence the infant antibody levels to P. falciparum antigens. In contrary, age, malaria antibody levels at birth, previous and present malaria infections as well as exposure to Anopheles bites were significantly associated with the natural acquisition of malaria antibodies in 6- to 18-month old Beninese infants. This study highlighted inescapable factors to consider simultaneously in an immuno-epidemiological study or a vaccine trial in early life

    The Quantity and Quality of African Children's IgG Responses to Merozoite Surface Antigens Reflect Protection against Plasmodium falciparum Malaria

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    Contains fulltext : 81196.pdf (publisher's version ) (Open Access)BACKGROUND: Antibodies, particularly cytophilic IgG subclasses, with specificity for asexual blood stage antigens of Plasmodium falciparum, are thought to play an important role in acquired immunity to malaria. Evaluating such responses in longitudinal sero-epidemiological field studies, allied to increasing knowledge of the immunological mechanisms associated with anti-malarial protection, will help in the development of malaria vaccines. METHODS AND FINDINGS: We conducted a 1-year follow-up study of 305 Senegalese children and identified those resistant or susceptible to malaria. In retrospective analyses we then compared post-follow-up IgG responses to six asexual-stage candidate malaria vaccine antigens in groups of individuals with clearly defined clinical and parasitological histories of infection with P. falciparum. In age-adjusted analyses, children resistant to malaria as well as to high-density parasitemia, had significantly higher IgG1 responses to GLURP and IgG3 responses to MSP2 than their susceptible counterparts. Among those resistant to malaria, high anti-MSP1 IgG1 levels were associated with protection against high-density parasitemia. To assess functional attributes, we used an in vitro parasite growth inhibition assay with purified IgG. Samples from individuals with high levels of IgG directed to MSP1, MSP2 and AMA1 gave the strongest parasite growth inhibition, but a marked age-related decline was observed in these effects. CONCLUSION: Our data are consistent with the idea that protection against P. falciparum malaria in children depends on acquisition of a constellation of appropriate, functionally active IgG subclass responses directed to multiple asexual stage antigens. Our results suggest at least two distinct mechanisms via which antibodies may exert protective effects. Although declining with age, the growth inhibitory effects of purified IgG measurable in vitro reflected levels of anti-AMA1, -MSP1 and -MSP2, but not of anti-GLURP IgG. The latter could act on parasite growth via indirect parasiticidal pathways

    Genetic polymorphisms of MMP1, MMP3 and MMP7 gene promoter and risk of colorectal adenoma

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    BACKGROUND: Matrix metalloproteinases (MMP) have been shown to play a role in colorectal cancer (CRC). More recently, MMP1, MMP3 and MMP7 functional gene promoter polymorphisms have been found to be associated with CRC occurrence and prognosis. To document the role of MMP polymorphisms in the early step of colorectal carcinogenesis, we investigated their association with colorectal adenoma risk in a case-control study comprising 295 patients with large adenomas (LA), 302 patients with small adenomas (SA) and 568 polyp-free (PF) controls. METHODS: Patients were genotyped using automated fragment analysis for MMP1 -1607 ins/del G and MMP3 -1612 ins/delA (MMP3.1) polymorphisms and allelic discrimination assay for MMP3 -709 A/G (MMP3.2) and MMP7 -181 A/G polymorphisms. Association between MMP genotypes and colorectal adenomas was first tested for each polymorphism separately and then for combined genotypes using the combination test. Adjustment on relevant variables and estimation of odds ratios were performed using unconditional logistic regression. RESULTS: No association was observed between the polymorphisms and LA when compared to PF or SA. When comparing SA to PF controls, analysis revealed a significant association between MMP3 -1612 ins/delA polymorphism and SA with an increased risk associated with the 6A/6A genotype (OR = 1.67, 95%CI: 1.20–2.34). Using the combination test, the best association was found for MMP3.1-MMP1 (p = 0.001) with an OR of 1.88 (95%CI: 1.08–3.28) for the combined genotype 2G/2G-6A/6A estimated by logistic regression. CONCLUSION: These data show a relation between MMP1 -1607 ins/del G and MMP3 -1612 ins/delA combined polymorphisms and risk of SA, suggesting their potential role in the early steps of colorectal carcinogenesis

    Genome wide linkage study, using a 250K SNP map, of Plasmodium falciparum infection and mild malaria attack in a Senegalese population

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    Multiple factors are involved in the variability of host's response to P. falciparum infection, like the intensity and seasonality of malaria transmission, the virulence of parasite and host characteristics like age or genetic make-up. Although admitted nowadays, the involvement of host genetic factors remains unclear. Discordant results exist, even concerning the best-known malaria resistance genes that determine the structure or function of red blood cells. Here we report on a genomewide linkage and association study for P. falciparum infection intensity and mild malaria attack among a Senegalese population of children and young adults from 2 to 18 years old. A high density single nucleotide polymorphisms (SNP) genome scan (Affimetrix GeneChip Human Mapping 250K-nsp) was performed for 626 individuals: i.e. 249 parents and 377 children out of the 504 ones included in the follow-up. The population belongs to a unique ethnic group and was closely followed-up during 3 years. Genome-wide linkage analyses were performed on four clinical and parasitological phenotypes and association analyses using the family based association tests (FBAT) method were carried out in regions previously linked to malaria phenotypes in literature and in the regions for which we identified a linkage peak. Analyses revealed three strongly suggestive evidences for linkage: between mild malaria attack and both the 6p25.1 and the 12q22 regions (empirical p-value = 5 x 10(-5) and 96 x 10(-5) respectively), and between the 20p11q11 region and the prevalence of parasite density in asymptomatic children (empirical p-value = 1.5 x 10(-4)). Family based association analysis pointed out one significant association between the intensity of plasmodial infection and a polymorphism located in ARHGAP26 gene in the 5q31-q33 region (p-value = 3.7 x 10(-5)). This study identified three candidate regions, two of them containing genes that could point out new pathways implicated in the response to malaria infection. Furthermore, we detected one gene associated with malaria infection in the 5q31-q33 region

    Study of the Genetic Component of Uncomplicated Malaria Infections : Genome-Wide Approach in Two Birth-Cohorts in Benin

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    Malgré les moyens importants de prévention et de lutte mis en place ces dernières années, le paludisme reste dévastateur avec près d’un demi-million de décès par an (405 000 en 2018, d'après le dernier rapport de l'OMS). Le rôle clé joué par les facteurs génétiques de l’hôte dans la susceptibilité et la sévérité de la maladie est admis aujourd'hui. Cependant, les bases moléculaires de la sensibilité/résistance au paludisme restent encore mal connues. Ces dix dernières années, les efforts de recherches pour l’identification de gènes impliqués dans la sensibilité au paludisme à P. falciparum se sont concentrés sur les formes graves de paludisme, avec plusieurs plusieurs études d’association sur l’ensemble du génome (Genome-Wide Association Study ou GWAS) publiées. Ce manuscrit porte sur l’extension de cette approche aux formes simples du paludisme, au travers de l’étude d’association génome entier de deux cohortes de nouveau-nés au Sud Bénin (au total 800 enfants), suivis pendant 18-24 mois par l’UMR261 (MERIT IRD/Université de Paris). Dans une première partie nous présentons les résultats de la première GWAS réalisée sur les formes simples de paludisme dans ces deux cohortes. L’association a été testée avec la récurrence des accès palustres et la récurrence de l’ensemble des infections (incluant les accès palustres et les infections asymptomatiques) en prenant en compte un risque environnemental estimé au niveau individuel. Elle met en évidence plusieurs signaux d’association forts, en lien avec des gènes dont la fonction biologique est pertinente pour le paludisme (notamment PTPRT, MYLK4, UROC1 et ACER3). La forte variabilité génétique présente au sein des populations africaines a nécessité de prendre en compte l’effet de confusion potentiel de la structure de population. Dans l’étude les formes simples de paludisme, une approche en deux étapes a été utilisée, le modèle de Cox mixte, utilisé pour l’analyse des données longitudinales, n’étant pas applicable à l’ensemble du génome du fait du temps de calcul nécessaire. Un modèle de Cox mixte a été appliqué pour construire un « effet individuel » ajusté sur les covariables, puis un modèle mixte linéaire pour tester l’association avec les polymorphismes du génome. Ceci nous a conduits à nous intéresser plus généralement aux modèles mixtes non-linéaires. Deux méthodes permettant l’estimation de l’effet des polymorphismes avec le modèle logistique mixte sont proposées, qui pourront être dans le futur généralisé à d’autres modèles, dont le modèle de Cox. Dans une dernière partie, le paludisme ayant constitué une des plus fortes pressions de sélection que l’homme ait connue dans son histoire récente, nous explorons la possibilité d’exploiter l’information de sélection naturelle pour augmenter la puissance de l’analyse, et améliorer la détection des signaux d’association. L’analyse des signaux de sélection positive récente sur l’ensemble du génome a été réalisée avec plusieurs méthodes basées sur les haplotypes longs ((iHS, nsL and XP-EHH). Celle-ci met en évidence plusieurs régions chromosomiques d’intérêt potentiel où les signaux d’association et de sélection co-localisent ; mais confirme également la difficulté à mettre en évidence les signaux de sélection liés au paludisme avec les outils disponibles actuellement.In spite of numerous prevention and control efforts in recent years, malaria remains a major global public health problem with nearly half a million deaths per year (405,000 in 2018). The key role played by genetic factors of the host in the susceptibility and severity of the disease is is admitted nowadays. However, the molecular basis of susceptibility / resistance to malaria has not been elucidated to date. Over the past decade, research efforts to identify genes involved in malaria susceptibility have focused on severe malaria, with several genome-wide association studies (GWAS) published. This manuscript concerns the extension of this approach to uncomplicated forms of malaria, through the genome wide association study of two birth cohorts in South Benin (800 children), followed for 18-24 months by UMR261 (MERIT IRD / University of Paris).In the first part, we present the results of the first GWAS performed on simple forms of malaria in these two cohorts. The association was tested with the recurrence of malaria attacks and the recurrence of all infections (including malaria attacks and asymptomatic infections) taking into account an environmental risk estimated at the individual level. It highlights several strong association signals, linked to genes whose biological function is relevant for malaria (in particular PTPRT, MYLK4, UROC1 and ACER3). The high genetic diversity within African populations has made it necessary to take into account the potential confounding effect of population structure. In this study we proceeded with a two-step strategy as the Cox mixed model, used for the analysis of longitudinal data, is not applicable to the whole genome due to computational burden. In a first step, an analysis was performed with a Cox mixed model to build an "individual effect" fitted on the covariates, then a linear mixed model were used to test the association with genome polymorphisms. This led us to focus more generally on non-linear mixed models. Two methods allowing the estimation of the effect of polymorphisms with the mixed logistic model are proposed, which may in the future be generalized to other models, including the Cox model.In a final part, malaria having been one of the strongest selection pressures that man has known in recent history, we explore the possibility of exploiting natural selection information to increase the power of analysis, and improve the detection of association signals. The analysis of recent positive selection signals were performed using several genome-scan methods focusing on patterns of long-range haplotype homozygosity (iHS, nsL and XP-EHH). This analysis revealed several chromosomic region of potential interest, where the signals of association and selection co-localized but confirms also the difficulty of highlighting the selection signals linked to malaria with tools currently available

    Étude de la composante génétique de la variabilité des infections palustres simples : Approche génome entier dans deux cohortes de jeunes enfants au Bénin

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    In spite of numerous prevention and control efforts in recent years, malaria remains a major global public health problem with nearly half a million deaths per year (405,000 in 2018). The key role played by genetic factors of the host in the susceptibility and severity of the disease is is admitted nowadays. However, the molecular basis of susceptibility / resistance to malaria has not been elucidated to date. Over the past decade, research efforts to identify genes involved in malaria susceptibility have focused on severe malaria, with several genome-wide association studies (GWAS) published. This manuscript concerns the extension of this approach to uncomplicated forms of malaria, through the genome wide association study of two birth cohorts in South Benin (800 children), followed for 18-24 months by UMR261 (MERIT IRD / University of Paris).In the first part, we present the results of the first GWAS performed on simple forms of malaria in these two cohorts. The association was tested with the recurrence of malaria attacks and the recurrence of all infections (including malaria attacks and asymptomatic infections) taking into account an environmental risk estimated at the individual level. It highlights several strong association signals, linked to genes whose biological function is relevant for malaria (in particular PTPRT, MYLK4, UROC1 and ACER3). The high genetic diversity within African populations has made it necessary to take into account the potential confounding effect of population structure. In this study we proceeded with a two-step strategy as the Cox mixed model, used for the analysis of longitudinal data, is not applicable to the whole genome due to computational burden. In a first step, an analysis was performed with a Cox mixed model to build an "individual effect" fitted on the covariates, then a linear mixed model were used to test the association with genome polymorphisms. This led us to focus more generally on non-linear mixed models. Two methods allowing the estimation of the effect of polymorphisms with the mixed logistic model are proposed, which may in the future be generalized to other models, including the Cox model.In a final part, malaria having been one of the strongest selection pressures that man has known in recent history, we explore the possibility of exploiting natural selection information to increase the power of analysis, and improve the detection of association signals. The analysis of recent positive selection signals were performed using several genome-scan methods focusing on patterns of long-range haplotype homozygosity (iHS, nsL and XP-EHH). This analysis revealed several chromosomic region of potential interest, where the signals of association and selection co-localized but confirms also the difficulty of highlighting the selection signals linked to malaria with tools currently available.Malgré les moyens importants de prévention et de lutte mis en place ces dernières années, le paludisme reste dévastateur avec près d’un demi-million de décès par an (405 000 en 2018, d'après le dernier rapport de l'OMS). Le rôle clé joué par les facteurs génétiques de l’hôte dans la susceptibilité et la sévérité de la maladie est admis aujourd'hui. Cependant, les bases moléculaires de la sensibilité/résistance au paludisme restent encore mal connues. Ces dix dernières années, les efforts de recherches pour l’identification de gènes impliqués dans la sensibilité au paludisme à P. falciparum se sont concentrés sur les formes graves de paludisme, avec plusieurs plusieurs études d’association sur l’ensemble du génome (Genome-Wide Association Study ou GWAS) publiées. Ce manuscrit porte sur l’extension de cette approche aux formes simples du paludisme, au travers de l’étude d’association génome entier de deux cohortes de nouveau-nés au Sud Bénin (au total 800 enfants), suivis pendant 18-24 mois par l’UMR261 (MERIT IRD/Université de Paris). Dans une première partie nous présentons les résultats de la première GWAS réalisée sur les formes simples de paludisme dans ces deux cohortes. L’association a été testée avec la récurrence des accès palustres et la récurrence de l’ensemble des infections (incluant les accès palustres et les infections asymptomatiques) en prenant en compte un risque environnemental estimé au niveau individuel. Elle met en évidence plusieurs signaux d’association forts, en lien avec des gènes dont la fonction biologique est pertinente pour le paludisme (notamment PTPRT, MYLK4, UROC1 et ACER3). La forte variabilité génétique présente au sein des populations africaines a nécessité de prendre en compte l’effet de confusion potentiel de la structure de population. Dans l’étude les formes simples de paludisme, une approche en deux étapes a été utilisée, le modèle de Cox mixte, utilisé pour l’analyse des données longitudinales, n’étant pas applicable à l’ensemble du génome du fait du temps de calcul nécessaire. Un modèle de Cox mixte a été appliqué pour construire un « effet individuel » ajusté sur les covariables, puis un modèle mixte linéaire pour tester l’association avec les polymorphismes du génome. Ceci nous a conduits à nous intéresser plus généralement aux modèles mixtes non-linéaires. Deux méthodes permettant l’estimation de l’effet des polymorphismes avec le modèle logistique mixte sont proposées, qui pourront être dans le futur généralisé à d’autres modèles, dont le modèle de Cox. Dans une dernière partie, le paludisme ayant constitué une des plus fortes pressions de sélection que l’homme ait connue dans son histoire récente, nous explorons la possibilité d’exploiter l’information de sélection naturelle pour augmenter la puissance de l’analyse, et améliorer la détection des signaux d’association. L’analyse des signaux de sélection positive récente sur l’ensemble du génome a été réalisée avec plusieurs méthodes basées sur les haplotypes longs ((iHS, nsL and XP-EHH). Celle-ci met en évidence plusieurs régions chromosomiques d’intérêt potentiel où les signaux d’association et de sélection co-localisent ; mais confirme également la difficulté à mettre en évidence les signaux de sélection liés au paludisme avec les outils disponibles actuellement

    Plasmodium falciparum variability and immune evasion proceed from antigenicity of consensus sequences from DBL6ε; generalization to all DBL from VAR2CSA.

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    We studied all consensus sequences within the four least 'variable blocks' (VB) present in the DBL6ε domain of VAR2CSA, the protein involved in the adhesion of infected red blood cells by Plasmodium falciparum that causes the Pregnancy-Associated Malaria (PAM). Characterising consensus sequences with respect to recognition of antibodies and percentage of responders among pregnant women living in areas where P. falciparum is endemic allows the identification of the most antigenic sequences within each VB. When combining these consensus sequences among four serotypes from VB1 or VB5, the most often recognized ones are expected to induce pan-reactive antibodies recognizing VAR2CSA from all plasmodial strains. These sequences are of main interest in the design of an immunogenic molecule. Using a similar approach than for DBL6ε, we studied the five other DBL and the CIDRpam from VAR2CSA, and again identified VB segments with highly conserved consensus sequences. In addition, we identified consensus sequences in other var genes expressed by non-PAM parasites. This finding paves the way for vaccine design against other pathologies caused by P. falciparum

    Plasmodium falciparum variability and immune evasion proceed from antigenicity of consensus sequences from DBL6 epsilon ; generalization to All DBL from VAR2CSA

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    We studied all consensus sequences within the four least 'variable blocks' (VB) present in the DBL6 epsilon domain of VAR2CSA, the protein involved in the adhesion of infected red blood cells by Plasmodium falciparum that causes the Pregnancy-Associated Malaria (PAM). Characterising consensus sequences with respect to recognition of antibodies and percentage of responders among pregnant women living in areas where P. falciparum is endemic allows the identification of the most antigenic sequences within each VB. When combining these consensus sequences among four serotypes from VB1 or VB5, the most often recognized ones are expected to induce pan-reactive antibodies recognizing VAR2CSA from all plasmodial strains. These sequences are of main interest in the design of an immunogenic molecule. Using a similar approach than for DBL6e, we studied the five other DBL and the CIDRpam from VAR2CSA, and again identified VB segments with highly conserved consensus sequences. In addition, we identified consensus sequences in other var genes expressed by non-PAM parasites. This finding paves the way for vaccine design against other pathologies caused by P. falciparum
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