Study The Some Aspects of The Immune Response For Pregnant Women Infected with T.Gondii and Determine The Genotyping of This Parasite

Abstract

Objectives: This study aims to find out the immune response (antibodies and cytokines) for women with disease T.Gondii and correlation between them calibrated and the effects on the patients of the difference age groups. Methodology: Were collected (200) samples of blood and (30) samples of umbilical cord of women and pregnant women with disease T.Gondii and revisions to hospitals in Najaf and laboratories for the purposes of abortion or treatment of disease, while the number of women samples control amounted to 30 samples . Pregnant women and control were divided into three age groups, namely, (15-25), (26-36) and (37-47) respectively. The study involved collecting samples and tested the first test by latex and then examined by the technique of adsorption-linked immunosorbent assay (ELISA) for the detection of antibodies (IgG and IGM). The study reported that technique is more important than the ELISA test for latex which was (P = 0.007). Results: The results of this study include following : the difference between the age groups and abortion rate in women was age groups (15-25) and (26-36) is the highest at 40% and 51%, respectively, and compared with the pregnant women and the disease infected T.Gondii. The study pointed to the existence of a significant difference in the proportion of antibodies in different age groups when compared with the control group. Adding to the cytokines. The study showed that there is a relationship between genes Toxo B1, ITS-1, Tg-8, Tg-9, SAG-1 and SAG-2 by examining the DNA taken of the blood and placenta of women with T.Gondii. And recorded the highest number of positive samples (52) in the sample ITS-1 of the rest of the other genes. Statistical relationship was the most important in the diagnosis of the parasite (P = 0.001). Conclusion: The correlation between of the cytokines and toxoplasmosis with according of abortion. Recommendations: To detect genotypes that lead to spontaneous abortion