Evaluation of Relationship Between Arylesterase-Based Activity and Genetic Variants of Paraoxonase1 in T2DM Patients within Golestan Province

Khajeniazi, Safoura; Shakeri, Raheleh; Marjani, Abdoljalal

doi:10.1007/s12291-019-00822-3

Cited by 1 publication

(1 citation statement)

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“…There was a remarkable correlation between PON1 activity and polymorphism − 108C>T in Iranian T2D subjects in which TT genotype carriers had the lowest PON1 activity [ 179 , 180 ]. There was a significant correlation between PON1 promoter polymorphism (− 108C>T) and its Arylesterase-based activity in Iranian T2DM cases compared with controls [ 181 ]. There were correlations between L55M and PON1 Q192R polymorphisms and T2DM among Egyptian cases.…”

Section: Introductionmentioning

confidence: 99%

Single-nucleotide polymorphisms as important risk factors of diabetes among Middle East population

et al. 2022

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Diabetes is a chronic metabolic disorder that leads to the dysfunction of various tissues and organs, including eyes, kidneys, and cardiovascular system. According to the World Health Organization, diabetes prevalence is 8.8% globally among whom about 90% of cases are type 2 diabetes. There are not any significant clinical manifestations in the primary stages of diabetes. Therefore, screening can be an efficient way to reduce the diabetic complications. Over the recent decades, the prevalence of diabetes has increased alarmingly among the Middle East population, which has imposed exorbitant costs on the health care system in this region. Given that the genetic changes are among the important risk factors associated with predisposing people to diabetes, we examined the role of single-nucleotide polymorphisms (SNPs) in the pathogenesis of diabetes among Middle East population. In the present review, we assessed the molecular pathology of diabetes in the Middle East population that paves the way for introducing an efficient SNP-based diagnostic panel for diabetes screening among the Middle East population. Since, the Middle East has a population of 370 million people; the current review can be a reliable model for the introduction of SNP-based diagnostic panels in other populations and countries around the world.

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Section: Introductionmentioning

confidence: 99%