3 research outputs found

    Evaluation of Immunogenicity of Cocktail DNA Vaccine Containing Plasmids Encoding Complete GRA5, SAG1, and ROP2 Antigens of Toxoplasma gondii in BALB/C Mice

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    Background: Severe and fatal complications of toxoplasmosis urge development of effective vaccines against the disease. The current study was performed to evalu­ate cocktail DNA vaccine containing plasmids encoding GRA5, SAG1, and ROP2 genes of Toxoplasma gondii in BALB/c mice in Tarbiat Modares University in 2012. Methods: The plasmids containing complete GRA5, SAG1, and ROP2 genes were mass extracted and then the recombinant plasmids were administered via intramuscu­lar injections according to immunized mice three times with three-week intervals. Then splenocytes were cultured, and proliferation as well as cytokine as­says were carried out. The other mice in each group were inoculated by the parasite and mortality of the mice was evaluated on a daily basis. Results: The results of cytokine assay for INF-γ were higher in the mice that re­ceived the cocktail DNA containing recombinant plasmids. Evaluation of prolifera­tion of splenocytes using the MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazo­lium bromide) assay indicated induction of cellular response. Measurement of total IgG and the isotypes of IgG1 and IgG2a showed that the cocktail DNA stimulated IgG and IgG2a production in comparison with the control groups (P<0.05). Furthermore, the survival rate of mice in the groups that received the cocktail DNA was significantly higher than that in the control groups (P<0.05). Conclusion: Administration of the cocktail DNA vaccine led to production of higher levels of IFN-γ, confirmed by secretion of IgG2a, and the immune response was shifted toward Th1. Thus, the cocktail DNA containing the recombinant plas­mids can be an appropriate candidate for immunization against toxoplasmosis

    Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: Spatial analysis and land use regression models

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    The aim of this study was to investigate the impact of the environmental factors on cutaneous leishmaniasis (CL) prevalence and morbidity in Ilam province, western Iran, as a known endemic area for this disease. Accurate locations of 3237 CL patients diagnosed from 2013 to 2015, their demographic information, and data of 17 potentially predictive environmental variables (PPEVs) were prepared to be used in Geographic Information System (GIS) and Land-Use Regression (LUR) analysis. The prevalence, risk, and predictive risk maps were provided using Inverse Distance Weighting (IDW) model in GIS software. Regression analysis was used to determine how environmental variables affect on CL prevalence. All maps and regression models were developed based on the annual and three-year average of the CL prevalence. The results showed that there was statistically significant relationship (P value <= 0.05) between CL prevalence and 11 (64) PPEVs which were elevation, population, rainfall, temperature, urban land use, poorland, dry farming, inceptisol and aridisol soils, and forest and irrigated lands. The highest probability of the CL prevalence was predicted in the west of the study area and frontier with Iraq. An inverse relationship was found between CL prevalence and environmental factors, including elevation, covering soil, rainfall, agricultural irrigation, and elevation while this relation was positive for temperature, urban land use, and population density. Environmental factors were found to be an important predictive variables for CL prevalence and should be considered in management strategies for CL control. (C) 2016 Elsevier B.V. All rights reserved
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