Background: Despite low endemicity, malaria remains a major health problem in urban areas where a high proportion of fevers are presumptively treated using anti-malarial drugs. Low acquired malaria immunity, behaviour of city-dwellers, access to health care and preventive interventions, and heterogenic suitability of urban ecosystems for malaria transmission contribute to the complexity of the malaria epidemiology in urban areas.

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Polymorphisms in the

Diseases caused by arthropod-borne viruses are a significant threat to the health of human and animal populations throughout the world. Better knowledge of the molecules synthesized in the salivary gland and saliva of hematophagous arthropods could be of use for improving the control of pathogen transmission. Recently, a sialome analysis of three Aedes aegypti mosquito colonies (PAEA, Rockefeller, and Formosus) carried out in our laboratory allowed us to identify 44 saliva proteins. Of these secreted proteins, none was exclusively expressed in one colony, suggesting that expression of salivary proteins is highly conserved across populations. In another study, we reported that some of these salivary proteins could be used as the genus-specific markers for travelers' exposure to mosquito vectors. Here, comparison of salivary gland protein profiles between these same three Ae. aegypti colonies was performed using the one-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) difference gel electrophoresis method. As observed at the saliva level, no significant differences were detected between these three colonies. The salivary gland protein repertoire from the Ae. aegypti mosquito was analyzed using a proteomic approach. One hundred and twenty proteins were identified in these salivary glands representing the largest description of the Ae. aegypti salivary gland protein catalog. We succeeded in identifying 15 secreted proteins, some of which have already been reported as being involved in blood feeding. A comparison of the proteins identified between the salivary glands and the sialome is discussed.

Background: The burden of Plasmodium falciparum malaria has worsened because of the emergence of chloroquine resistance. Antimalarial drug use and drug pressure are critical factors contributing to the selection and spread of resistance. The present study explores the geographical, socio-economic and behavioural factors associated with the use of antimalarial drugs in Africa.

The distribution and range of 50% inhibitory concentrations (ICAccording to the origin of the P. falciparum isolates, the triple normal distribution was found in each subgroup. However, the proportion of isolates predicted to belong to component B was most important in isolates from Gabon and Congo and in isolates imported from Africa (from 46 to 56%). In Senegal, 55% of the P. falciparum isolates were predicted to be classified as component C. The cutoff of reduced susceptibility to doxycycline in vitro was estimated to be 35 M.

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BackgroundThe objective of this study was to evaluate the distribution of a series of independent doxycycline inhibitory concentration 50% (IC50) values to validate the trimodal distribution previously described and to validate the use of the pftetQ and pfmdt genes as molecular markers of decreased in vitro doxycycline susceptibility in Plasmodium falciparum malaria.MethodsDoxycycline IC50 values, from 484 isolates obtained at the French National Reference Centre for Imported Malaria (Paris) between January 2006 and December 2010, were analysed for the first time by a Bayesian mixture modelling approach to distinguish the different in vitro phenotypic groups by their IC50 values. Quantitative real-time polymerase chain reaction was used to evaluate the pftetQ and pfmdt copy numbers of 89 African P. falciparum isolates that were randomly chosen from the phenotypic groups.ResultsThe existence of at least three doxycycline phenotypes was demonstrated. The mean doxycycline IC50 was significantly higher in the group with a pftetQ copy number >1 compared to the group with a pftetQ copy number = 1 (33.17 μM versus 17.23 μM) and the group with a pfmdt copy number >1 (28.28 μM versus 16.11 μM). There was a significant difference between the combined low and medium doxycycline IC50 group and the high IC50 group in terms of the per cent of isolates with one or more copy numbers of the pftetQ gene (0% versus 20.69%) or pfmdt gene (8.33% versus 37.93%). In the logistic regression model, the pfmdt and pftetQ copy numbers >1 (odds ratio = 4.65 and 11.47) were independently associated with the high IC50 group.ConclusionsCopy numbers of pftetQ and pfmdt are potential predictive molecular markers of decreased susceptibility to doxycycline.