Les femmes enceintes et les enfants sont les populations à haut risque pour le paludisme. Chez les premières, l'infection peut entraîner une infection placentaire (IP). Les enfants nés d'une mère ayant une IP seraient plus à risque de développer une infection palustre rapidement après la naissance. Un phénomène de tolérance immunitaire est évoqué mais aucune explication n'est émise. Nous proposons une explication basée sur l'implication de HLA-G, protéine de la tolérance immunitaire. Nous avons pu montrer que les niveaux élevés de HLA-G chez les enfants étaient associés à un risque élevé de paludisme et au faible poids de naissance. Il existe une très forte ressemblance mère-enfant au cours de la grossesse et durant les 2 premières années de vie de l’enfant avec une probabilité très élevé chez les enfants d’avoir le même profil que leur mère. Les femmes ayant une IP présentent un risque plus élevé d’avoir des enfants ayant des niveaux de HLA-G soluble élevé, et le délai de 1ère infection palustre est plus court pour les enfants nés de mères ayant un niveau de HLA-G élevé en début de grossesse. Ces résultats confirment que HLA-G est associée à l’infection palustre. Ils montrent que le rôle de HLA-G dans l’IP est très complexe. Face à la ressemblance mère-enfant et le délai de 1ère infection, il serait intéressant d’envisager le dosage de HLA-G maternel en début de grossesse afin de confirmer son rôle prédictif. HLA-G pourrait alors être un outil de santé publique intéressant pour identifier de potentiels futurs enfants à risque. / Pregnant women and children are populations at high risk for malaria. Malaria infection in pregnancy can lead to placental malaria (PM). Children born to a mother with PM have an increased risk of malaria infection during the first years of life. To explain this phenomenon related to an immune tolerance, we suggest an explanation based on the implication of HLA-G, an immune tolerance protein. We show that high levels of soluble HLA-G in children were associated with malaria risk and low birth weight. There is a very strong mother/child resemblance during pregnancy and the first 2 years of life of the child with a very high probability in children of having the same profile as their mother. Women with PM have a higher risk to give birth to a child with high levels of soluble HLA-G, and children born to mothers with high HLA-G levels have an increased risk of malaria in early pregnancy. These results confirm that HLA-G is associated with malaria infection. They show that the role of HLA-G in PM is very complex. According to the maternal-child resemblance and the delay onset the first infection, it would be interesting to consider the dosage of maternal HLA-G in early pregnancy in order to confirm its predictive role. HLA-G could then be an interesting public health tool to identify potential children at risk.

Cette thèse défend l’intérêt d’appliquer une démarche d’analyse exploratoire de données spatiales pour examiner un phénomène complexe irréductible, dans un contexte limité en données : le paludisme-infection à Dakar. Chaque partie du système pathogène du paludisme est nécessaire mais non suffisante au fonctionnement du système. Il n’y a paludisme-infection que lorsque les trois composantes sont en contact : le parasite, le vecteur et l’hôte humain. La recherche des lieux où ces contacts peuvent s’opérer facilement est donc primordiale dans la lutte contre le paludisme et l’amélioration des programmes visant à la diminution voire l’élimination de la maladie. L’analyse exploratoire, encore très peu appliquée dans les pays dits du Sud, se définit ainsi comme une démarche de recherche mais aussi comme un moyen d’apporter des réponses aux besoins sanitaires. Elle pousse à l’observation, sous différents angles, des déterminants sociaux qui sont impliqués dans la réalisation du phénomène, tout comme à l’examen des interactions existantes entre eux. Nous avons récolté des informations quantitatives variées, en lien direct et indirect avec l’étude du paludisme. Interprétation d’images satellites, données censitaires, résultats d’enquêtes sociales et sanitaires ont été intégrées dans un système d’information géographique pour décrire la ville et ses habitants. Le croisement de ces sources a permis d’étudier les faces spatiales du risque épidémique palustre. Le recours à des analyses statistiques et géostatistiques, bivariées et multivariées, a permis de souligner que le risque d’infection des populations dépendait fortement d’une distance, que l’on a qualifié de sociale. / This thesis applies an Exploratory Spatial Data Analysis (ESDA) approach to study a complex phenomenon in a data scarce environment: malaria infection in Dakar. Each component of the malaria pathogenic system is necessary but not sufficient to result in an infection when acting in isolation. For malaria infection to occur, three components need to interact: the parasite, the vector, and the human host. The identification of areas where these three components can easily interact is therefore essential in the fight against malaria and the improvement of programs for the prevention and control or elimination of the disease. ESDA, still rarely applied in developing countries, is thus defined as a research approach but also as a way to provide answers to global health challenges. It leads to observation, from different angles, on the social and spatial determinants of malaria infection, as well as the examination of existing interactions between its three components. Several streams of quantitative information were collected, both directly and indirectly related to the study of malaria. More specifically, multi-temporal satellite imagery, census data, and results from social and health surveys have been integrated into a Geographic Information System (GIS) to describe the city and its inhabitants. Combining these datasets has enabled to study the spatial variability of the risk of malaria infection.

The experiment discussed in the next chapter was to confirm the aforementioned bystander effect. In the first experiment we separated hosting and non-hosting mRBCs by the percol purification method and then measured the corner frequencies of them. The mean fc of the distribution is almost the same, and this confirms the effect of the parasite on the non-hosting mRBC. In the next experiment, we have incubated nRBCs in the spent media and measured the corner frequency at six-hours intervals to see how the fc changed with the incubation time. The results showed that within 24 hours, the fc of the incubated nRBCs increases to the level of the iRBCs. The fact that nRBCs are getting affected by the spent media indicates that some substances must be released in the spent media which alter the physical properties of the nRBCs. This kind of effect on non-host mRBCs was previously observed by some earlier works [Dondorp97, Sabolovic91a, Bambardekar08]. It has also been recently shown that the rosetting of the host mRBCs to the non-host mRBCs is also activated by the substances released in the medium [Handunnetti89, Wahlgren89], which are also somewhat similar to the bystander effect observed by us. In addition to this, there are reports which suggest that sickle cell disease also shows binding properties [Roseff08, Zhang12] which may be due to the substances released in the medium. So it was already observed that the released substances induced changes in the properties of RBCs, but our study gives a direct confirmation of the same. The next study was to find out the released substances which were responsible for the observed changes above. We incubated infected and uninfected RBCs in different drugs. Then, we measured them to see what kind of changes occur in the corner frequency of the incubated RBCs. The corner frequency of normal RBCs incubated in db-cAMP shows the maximum change. So the released substance that is responsible for the bystander effect may be due to the db-cAMP. All the experiments above were done using samples cultured only in the lab. Since the environment of the blood taken directly from the patient may differ from the one that is cultured in the lab, it is natural to find out if similar kinds of changes can be observed in the clinical sample or not. The study in chapter 6 was targeted to find out the same. We took clinical samples from BMRI for patients having a confirmed malaria infection by both P. falciparum and P. vivax. This also provided us the opportunity to work with the P. vivax infected sample as it is very difficult to culture them in the lab. The results shown in this chapter clearly indicate that similar kinds of changes occur in the clinical sample also. It is worth noting that even though P. vivax infects only immature RBCs (reticulocytes), changes were also observed in P. vivax samples. This gives us another strong confirmation about the previously observed bystander effect. This also indicates that this technique can be used as a tool to diagnose malaria. Although we cannot differentiate between P. falciparum and P. vivax, this technique combined with other well established techniques can give us more confirmation. So, in all the experiment above we have shown an easy and novel technique which can be used to differentiate between normal and malaria-infected RBCs. We have also observed the bystander effect and tried to find out the released substances which are responsible for this effect. We have shown that this technique can use the bystander effect of malaria to identify malaria. It has also been shown that the RBCs taken from the patient sample also show the same changes as the cultured samples, which gives us the possibility that this technique can be used as a diagnostic tool combined with other technique. This technique can also be used in experiments like the effects of drugs and to find out drugs for diseases like malaria. Future outlook 1. We have observed the changes only for malaria. There may be other diseases like sickle cell anemia which can also alter the corner frequency of the distribution of RBCs. We have to find out the specificity of the observed changes. 1 We can directly measure the elasticity of RBCs using dual traps in optical tweezers to find out the effect of different infections and drugs on the rigidity of RBCs and compare the with the data above. 2 We can also study other cells using the same method to see if we can find out any difference between healthy and unhealthy cells.