Magatte Ndiaye
University
Faculty of Medicine, Université Cheikh Anta Diop (University of Dakar), Senegal.
PhD Title
Impact of Intermittent Preventive Treatment in children (IPTc) on Plasmodium falciparum infections complexity: Resistance markers and kinetic of antibodies against P.falciparum in Senegal
Abstract
Malaria remains a major parasitic parasitic disease in African countries. Many efforts have been done to reduce malaria burden in risk groups. The emergence and spread of resistant parasite have compromised malaria control.
Now in Senegal several malarial preventive strategies including SP/IPTp, SP/AQ IPTc and SP/IPTi have been developed in risk group as pregnancy women, children and infancies. However due to the emergence and spread of parasite resistance to SP, it is urgent to assess the level of resistance of Plasmodium falciparum to SP. However, few data are currently available, in connection with the kinetic of antibodies against P.falciparum in children and infants after SP/IPT. To answer some questionings on the evolution of immunity in target groups we intend, to study the evolution of antibodies in Children when they are subjected to an SP administration as part of IPT.
Aims: To assess knowledge, resistance markers and kinetics of P.falciparum antibodies in the context of IPT.
Method: To collect blood sample on filter paper from children < 5 years old in 2 groups (with IPT and without IPI); Determine parasitemia by microscopy.
For drug resistance markers: Pfdhfr, Pfdhps , Pfcrt and Pfmdr1: Extract DNA in filter paper; PCR amplify target gene using primers surrounding the target SNPs; Use the ELISA platform to catch the PCR product; Use small sequence specific oligonucleotide probes (SSOP) targeting the SNPs to identify them.
For assessment of antibodies against P.falciparum: Extract human serum in filter paper; ELISA for detecting antibodies against IgG1-4, IgM.
Statistical analysis: Allelic (OD value) data will entered in Microsoft Excel format and exported to SofMax Pro 4.7.1, GenAlex 6 and Epi Info v6.04a (http://www.cdc.gov/epiinfo/Epi6/EI6dnjp.htm) for the analyses. The data comparisons will make using the Chi square or Fisher's exact test, and the Student's t-test and ANOVA for normally distributed continuous data with a statistical significance threshold of P < 0.05.
