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Showing 3 results for Zare Karizi

Fatemeh Eskandari, Shohreh Zare Karizi, Mohamad Taghi Akbari,
Volume 18, Issue 2 (5-2015)
Abstract

Background: The pathogenesis of recurrent pregnancy loss includes complex interaction of several genetic and environmental factors. Changes in blood coagulation factors during pregnancy may play an important role in the occurrence of recurrent abortions (RA). Recently, inherited thrombophilia has been considered as a possible cause. Therefore, in this study we have investigated association of factor V (G1691A) and factor II (G20210A) polymorphisms in Iranian patients with recurrent abortions.

Materials and Methods: A total of 203 women participated in this study: 105 women with two or more consecutive unexplained miscarriage as cases and 98 women with at least two healthy children as control group. Total genomic DNA was isolated from Peripheral blood leukocytes. The presence or absence of mutation in the FV (G1691A) and FII (G20210A) polymorphisms were assessed by PCR-RFLP, using Mnl1 and HindIII digestion enzymes, respectively. Finally, the data were  analyzed using Chi-Square test.

Results: The results showed no statistical significant differences in the prevalence of FV (G1691A) and FII (G20210A) polymorphisms between patients and control group.

Conclusion: considering the results of this study, these polymorphisms Seem to have no role in etiology of recurrent pregnancy loss in the studied population.


Mona Amin Beidokhti, Reza Mirfakhraie, Shohreh Zare Karizi, Fatemeh Karamoldin, Mirdavood Omrani, Naser Sarsabili,
Volume 18, Issue 8 (11-2015)
Abstract

Background:  Recurrent pregnancy loss (RPL) is defined as the occurrence of two or more consecutive pregnancy losses prior to 20th week of gestation. There are several leading causes of RPL including uterine anatomical defects, infections, genetic, immunological, and environmental factors. However, despite in a large number of cases no causes have been identified, therefore, it is introduced as idiopathic.

Recent studies have implicated the role of miRNAs in endometriosis, preeclampsia, infertility and RPL. Therefore, the aim of the present study was to investigate the association of miR-196a2C>T (rs11614913) with RPL in Iranian women.

Materials and Methods: In this case-control study, 183 Iranian women including 83 patients with at least two unexplained consecutive pregnancy losses and 100 healthy controls with at least one live birth and no history of pregnancy loss were investigated. Patients with recurrent pregnancy losses due to anatomic, hormonal, chromosomal, infectious, autoimmune, or thrombotic causes were excluded from the study group. Genotyping was performed using Tetra- ARMS PCR method.

Results:  Significant difference in distribution of miR-196a2 rs11614913 genotypes was found in RPL patients in comparison to controls, with p value of 0.04 and odds ratio equal to 2.96 (95% CI: 1.03-7.03).

Conclusion: The results of the present study provide evidence for association between genetic variation in miR-196a2 and recurrent pregnancy loss. Further studies will be required to validate the significance of the studied genetic variation in diverse populations and its regulatory role on target genes.


Tahereh Yahya, Shohreh Zare Karizi, Ali Jahanian,
Volume 20, Issue 9 (12-2017)
Abstract

Abstract
Background: DNA-based computing is an emerging research aspect that enables the in-vivo computation and decision making with significant correctness. Recent papers show that the expression level of miRNAs are related to the progress status of some diseases such as cancers and DNA computing is introduced as a low cost and concise technique for detection of these biomarkers. In this paper, DNA-based logic gates are implemented in the laboratory to detect the level of miR-21 as the biomarker of cancer.
Materials and Methods: At the first, required strands for designing DNA gates are synthesized. Then, double stranded gate is generated in laboratory using a temperature gradient that followed by electrophoresis process. This double strand is the computation engine for detecting the miR-21 biomarker. miR-21 is as input in designed gate. At the end, the expression level of miR-21 is identified by measuring the generated fluorescent.
Results: at the first stage, the proposed DNA-based logic gate is evaluated by using the synthesized input strands and then it is experimented on a tumor tissue. Experimental results on synthesized strands show that its detection quality/correctness is 2.5x better than conventional methods.
Conclusion: Experimental results on the tumor tissues are successful and are matched with those are extracted from real time PCR results. Also, the results show that this method is significantly more suitable than real time PCR in view of time and cost.

 


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