Association of CYP11B2 gene polymorphism with preeclampsia in north east of Iran (Khorasan province)

Background: Stroke is a multifactorial disorder and a major cause of morbidity and mortality around the world. There are growing numbers of candidate gene pathways which are thought to be associated with stroke. Genes involved in lipid metabolism are important issues in stroke studies. Studying different polymorphisms in these genes are becoming an interest for researchers. 5-lipoxygenase activating protein (ALOX5AP) is one of these genes. Different studies have provided different relations between ALOX5AP promoter polymorphism (rs17222919) and stroke. In the present study, we have evaluated this gene polymorphism in a population in north east of Iran. Methods: This case-control study took place in Ghaem Hospital, Mashhad, Iran. Patients with computed tomography (CT) or magnetic resonance imaging (MRI) confirmation for ischemic stroke were enrolled in this study and considered as case group. Healthy persons without ischemic stroke were control group. During 1-year period of this study, ALOX5AP gene polymorphism in 200 healthy patients (control group) as well as 228 patients with stroke (case group) was evaluated by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results: All of 428 persons (228 cases and 200 healthy controls) enrolled in this study. The genotype and allele frequency was significantly different between both groups (P = 0.001 and P = 0.003, respectively). A total number of 54 patients had G allele in case group in contrast to 27 ones in control group. Also, 174 patients in case group had T allele and 173 persons had this allele in control group. In compression of TT genotype, the risk of developing stroke in GG and TG genotypes increased by 3.998 and 1.643, respectively. Also the risk of ischemic stroke with G allele would increase by 2.128. Conclusion: According to our results, ALOX5AP promoter polymorphism (rs17222919) is related to increased ischemic stroke in Iranian population.

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Energy efficiency and productivity in traditional herding in semi-steppe rangeland (case study: Kalat Rangelands, North-east of Iran)

Acta Ecologica Sinica ◽

10.1016/j.chnaes.2021.02.005 ◽

2021 ◽

Author(s):

Iman Haghiyan ◽

Elnaz Nejatiyanpour

Keyword(s):

Energy Efficiency ◽

North East ◽

East Of Iran ◽

Efficiency And Productivity

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Improving MUSLE performance for sediment yield prediction at micro-watershed level using seasonal classified data

Water Practice & Technology ◽

10.2166/wpt.2018.061 ◽

2018 ◽

Vol 13 (3) ◽

pp. 505-512

Author(s):

Hamzeh Noor ◽

Mohammad Rostami Khalaj

Keyword(s):

Sediment Yield ◽

Traditional Approach ◽

Estimation Error ◽

Superior Performance ◽

North East ◽

Erosion Processes ◽

The North ◽

East Of Iran ◽

Different Seasons

Abstract Separating erosion data and assessing season-based models are of great importance considering the variation in soil erosion processes in different seasons, especially in semi-arid regions. However, evaluation of an erosion model using seasonal classification of data and at a micro-watershed level have rarely been considered. Therefore, the present study was conducted to evaluate the modified universal soil loss equation (MUSLE): 1) with the seasonal classification of data and 2) with the traditional approach (no classification of data), in the Sanganeh research micro-watershed. This watershed has an area of 1.2 ha and is located in the north east of Iran. The results showed that the original MUSLE overestimated the sediment yield in the study watershed. Also, after calibration of MUSLE, the seasonal classification of data (with a relative estimation error (RE) of 34%) showed its superior performance compared with the traditional calibration approach (with a RE of 62%). In this regard, the obtained REs of 33, 40, and 31% respectively for spring, autumn, and winter are within or close to the acceptable range.

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