Biology subjects

Milet, J.

Publications and source records attributed to Milet, J..

3 recordsLinked to original sources

bioRxiv2021

LILRB1 and LILRB2 expression in peripheral blood immune cells at 18 and 24 months of age in infants born from mothers with placental malaria

BackgroundPlacental malaria (PM) is associated with a higher susceptibility of infants to Plasmodium falciparum (Pf) malaria. A hypothesis of immune tolerance has been suggested but no clear explanation has been provided so far. Our goal was to investigate the involvement of inhibitory receptors LILRB1 and LILRB2, known to drive immune evasion upon ligation with pathogen and/or host ligands, in PM-induced immune tolerance. MethodsInfants of mothers with or without PM were enrolled in Allada, southern Benin, and followed-up for 24 months. Antibodies with specificity for five blood stage parasite antigens were quantified by ELISA, and the frequency of immune cell subsets was quantified by flow cytometry. LILRB1 or LILRB2 expression was assessed on cells collected at 18 and 24 months of age. ResultsInfants born to PM-mothers had a higher risk of developing clinical malaria than those born to mothers without PM (IRR=1.53, p=0.040), and such infants displayed a lower frequency of non-classical monocytes (OR=0.74, p=0.01) that overexpressed LILRB2 (OR=1.36, p=0.002). Moreover, infants born to PM-mothers had lower levels of cytophilic IgG and higher levels of IL-10 during active infection. ConclusionModulation of IgG and IL-10 levels could impair monocyte functions (opsonisation/phagocytosis) in infants born to PM-mothers, possibly contributing to their higher susceptibility to malaria. The long-lasting effect of PM on infants monocytes was notable, raising questions about the capacity of ligands such as Rifins or HLA-I molecules to bind to LILRB1 and LILRB2 and to modulate immune responses, and about the reprogramming of neonatal monocytes/macrophages. KEY POINTSInfants of mothers with placental malaria were more susceptible to clinical malaria than those born to mothers without placental malaria and they displayed a lower frequency of non-classical monocytes that overexpressed LILRB2.

immunology↗

bioRxiv2020

Mixed Logistic Regression in Genome-WideAssociation Studies

MotivationMixed linear models (MLM) have been widely used to account for population structure in case-control genome-wide association studies, the status being analyzed as a quantitative phenotype. Chen et al. proved that this method is inappropriate and proposed a score test for the mixed logistic regression (MLR). However this test does not allow an estimation of the variants effects. ResultsWe propose two computationally efficient methods to estimate the variants effects. Their properties are evaluated on two simulations sets, and compared with other methods (MLM, logistic regression). MLR performs the best in all circumstances. The variants effects are well evaluated by our methods, with a moderate bias when the effect sizes are large. Additionally, we propose a stratified QQ-plot, enhancing the diagnosis of p-values inflation or deflation, when population strata are not clearly identified in the sample. AvailabilityAll methods are implemented in the R package milorGWAS available at https://github.com/genostats/milorGWAS. Contactherve.perdry@u-psud.fr Supplementary informationSupplementary data are available at Bioinformatics online.

genomics↗

bioRxiv2018

First genome-wide association study of non-severe malaria in two birth cohorts in Benin: hints towards the involvement of the STAT3 pathway.

Recent research efforts to identify genes involved in the susceptibility to P. falciparum malaria have focused on severe forms of malaria, with several genome-wide association studies (GWAS) and multi-center analyses published this past decade. Here we present the first GWAS performed on mild malaria susceptibility in young children, designed to identify genetic variants involved in innate immunity or innate resistance mechanisms. Two cohorts of infants from southern Benin (525 and 250 individuals respectively), used as discovery and replication cohorts, were closely followed from birth to 18-24 months of age, with an assessment of a space-and time-dependent risk of exposure to vector bites. GWAS was performed on 15.5 million genotyped and imputed variants, with the susceptibility of infants to mild malaria attacks and to malaria infections as a whole (both symptomatic and asymptomatic). Infant susceptibility to malaria was assessed by considering all malaria events occurring during the follow-up using a Cox-model for recurrent events. We found strong statistical support for a role of PTPRT, a tyrosine phosphatase receptors involved in STAT3 pathway, with the protection against both mild malaria attacks and malaria infections (p=9.70x10-8 and p=1.78x10-7 respectively in the discovery cohort, and both p < 0.05 in the replication cohort). Furthermore, our study highlights several other genes, among them, UROC1, ACER3 and the PLAG2 cluster, whose biological functions are relevant in malaria infection. Results show that despite the difficulty of setting up such longitudinal field studies, GWAS on non-severe malaria can successfully identify new candidate genes and inform physiological mechanisms underlying natural protection against malaria.\n\nAUTHOR SUMMARYMalaria remains a major worldwide public health problem with circa 219 million cases and 435,000 deaths per year. As for many infectious diseases, the genetics of the host plays a role in the disease course. So far, most studies on such genetic factors focused on severe malaria forms. Our study aimed to find factors associated with simple forms (asymptomatic forms and uncomplicated clinical forms). We used dense genome-wide data of two cohorts of infants closely followed during two years in Benin, and we incorporated an environmental risk of exposure estimated at individual level from entomological, climatic, and environmental data. This allowed us to unravel several genes that appear to play a role in the susceptibility to malaria infection, thus demonstrating the feasibility of a genome-wide approach on non-severe forms. Functional studies are needed to confirm the role of the genetic factors highlighted here. Some of these genes represent interesting targets for future prevention strategies and drug development.

genetics↗