Abstract

In this article, we present data on endothelial Nitric Oxide Synthase (eNOS) gene T786C and G894T polymorphisms in Greek steady-state Sickle Cell Disease patients in comparison to healthy controls. Moreover, eNOS mRNA levels were determined in peripheral blood samples from 18 patients and 9 controls. This article complements our recently published article named “Prognostic value of eNOS T786C and G894T polymorphisms in Sickle Cell Disease” (I. Armenis, V. Kalotychou, R. Tzanetea, Z. Kontogeorgiou, D. Anastasopoulou, M. Mantzourani, M. Samarkos, K. Pantos, K. Konstantopoulos, I. Rombos, 2016) [1].

Highlights

  • In this article, we present data on endothelial Nitric Oxide Synthase gene T786C and G894T polymorphisms in Greek steady-state Sickle Cell Disease patients in comparison to healthy controls

  • Genotype and allele distribution of endothelial Nitric Oxide Synthase (eNOS) T786C and G894T polymorphisms were studied for the first time in Greek Sickle Cell Disease patients

  • Data Genotype and allele distribution for polymorphisms T786C and G894T in patients and controls are presented in Tables 1 and 2 respectively

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Summary

Data accessibility Data is with this article

Genotype and allele distribution of eNOS T786C and G894T polymorphisms were studied for the first time in Greek Sickle Cell Disease patients. This is the first study to find higher prevalence of the C allele in comparison to T for the -786 position in Sickle Cell Disease. Genotype and allele distribution for polymorphisms T786C and G894T in patients and controls are presented in Tables 1 and 2 respectively. ENOS mRNA levels normalized to GAPDH are presented in Fig. 1 (Sickle Cell Disease patients relative to controls) and Fig. 2 (patients of eNOS 786TC and CC genotypes relative to patients of TT genotype) No statistically significant differences were obtained [1]. eNOS mRNA levels normalized to GAPDH are presented in Fig. 1 (Sickle Cell Disease patients relative to controls) and Fig. 2 (patients of eNOS 786TC and CC genotypes relative to patients of TT genotype)

Study population
DNA extraction and eNOS genotyping
RNA extraction and quantitative real-time PCR
Statistical analysis
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