Abstract

BackgroundMalaria is the major parasitic disease worldwide caused by Plasmodium infection. The objective of integrated malaria control programs is to decrease malaria transmission, which needs specific tools to be accurately assessed. In areas where the transmission is low or has been substantially reduced, new complementary tools have to be developed to improve surveillance. A recent approach, based on the human antibody response to Anopheles salivary proteins, has been shown to be efficient in evaluating human exposure to Anopheles bites. The aim of the present study was to identify new An. gambiae salivary proteins as potential candidate biomarkers of human exposure to P. falciparum-infective bites.MethodsExperimental infections of An. gambiae by wild P. falciparum were carried out in semi-field conditions. Then a proteomic approach, combining 2D-DIGE and mass spectrometry, was used to identify the overexpressed salivary proteins in infected salivary glands compared to uninfected An. gambiae controls. Subsequently, a peptide design of each potential candidate was performed in silico and their antigenicity was tested by an epitope-mapping technique using blood from individuals exposed to Anopheles bites.ResultsFive salivary proteins (gSG6, gSG1b, TRIO, SG5 and long form D7) were overexpressed in the infected salivary glands. Eighteen peptides were designed from these proteins and were found antigenic in children exposed to the Anopheles bites. Moreover, the results showed that the presence of wild P. falciparum in salivary glands modulates the expression of several salivary proteins and also appeared to induce post-translational modifications.ConclusionsThis study is, to our knowledge, the first that compares the sialome of An. gambiae both infected and not infected by wild P. falciparum, making it possible to mimic the natural conditions of infection. This is a first step toward a better understanding of the close interactions between the parasite and the salivary gland of mosquitoes. In addition, these results open the way to define biomarkers of infective bites of Anopheles, which could, in the future, improve the estimation of malaria transmission and the evaluation of malaria vector control tools.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-014-0599-y) contains supplementary material, which is available to authorized users.

Highlights

  • Malaria is the major parasitic disease worldwide caused by Plasmodium infection

  • Difference in sialome profile between P. falciparuminfected and non-infected salivary glands of An. gambiae The salivary glands were dissected 14 days post-infection, i.e. the time period needed for the parasites to reach the salivary glands

  • After colloidal Coomassie blue staining, 43 visible spots could be excised for LC-MS/MS identification (Figure 1A), which represent less than one third of the regulated spots and constitute an additional constraint to the identification of relevant biomarkers

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Summary

Introduction

Malaria is the major parasitic disease worldwide caused by Plasmodium infection. The objective of integrated malaria control programs is to decrease malaria transmission, which needs specific tools to be accurately assessed. In areas where the transmission is low or has been substantially reduced, new complementary tools have to be developed to improve surveillance. The aim of the present study was to identify new An. gambiae salivary proteins as potential candidate biomarkers of human exposure to P. falciparum-infective bites. In a context of malaria elimination in some areas, integrated malaria control campaigns have been implemented to reduce the malaria burden. In these areas where transmission has substantially decreased, and in urban settings or high-altitude areas where Anopheles exposure and malaria transmission can be very low, the current methods are not sufficiently sensitive to evaluate the human exposure to Anopheles bites and the risk of transmission. It appears difficult to obtain precise information on parasite detection and mosquito capture in these contexts so the development of appropriate tools is necessary

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