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Arginase Gene Polymorphism Increases Risk of Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients.

ABSTRACT: Studies have demonstrated that polymorphic variants of arginase 1 gene (ARG1) are involved in human diseases, such as coronary heart disease, hypertension, and diabetes. Our study aimed to investigate the association between ARG1 rs2781666 single nucleotide polymorphism (SNP) and diabetic retinopathy (DR) in type 2 diabetes (T2DM) patients. Polymorphism was genotyped in 740 T2DM patients and 400 healthy individuals. A significant difference in the genotype distribution was observed between the patients and the controls. The T allele and TT genotype were associated with an increased risk of T2DM (OR 1.4, 95% CI 1.14-1.72, p = 0.001 and OR 2.16, 95% CI 1.23-3.80, p = 0.007, respectively). When the T2DM subjects were stratified into DR+ and DR- subgroups, the T allele and TT genotype frequencies were significantly higher in the DR+ group compared to the DR- group, demonstrating OR 1.68 (1.33-2.12), p < 0.0001 and OR 2.39 (1.36-4.18), p = 0.002, respectively. Logistic regression analysis was applied to determine the interaction between the ARG1 genotypes and other risk factors. Only ARG1 rs2781666 SNP was a significant risk predictor of DR (p = 0.003). In conclusion, this is the first report discussing the effect of ARG1 polymorphism on the microvascular complications that are associated with diabetes. Our findings demonstrate that ARG1 rs2781666 SNP is significantly associated with an increased susceptibility to DR in T2DM patients.

SUBMITTER: Buraczynska M

PROVIDER: S-EPMC8620112 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe proportion of patients with diabetic retinopathy (DR) has grown with increasing number of diabetes mellitus patients in the world. It is among the major causes of blindness worldwide. The main objective of this study was to identify contributing risk factors of DR among people with type II diabetes mellitus.MethodA sample of 191 people with type II diabetes mellitus was selected from the Black Lion Specialized Hospital diabetic unit from 1 March 2018 to 1 April 2018. A multivariate stochastic regression imputation technique was applied to impute the missing values. The response variable, DR is a categorical variable with two outcomes. Based on the relationship derived from the exploratory analysis, the odds of having DR were not necessarily linearly related to the continuous predictors for this sample of patients. Therefore, a semiparametric model was proposed to identify the risk factors of DR.ResultFrom the sample of 191 people with type II diabetes mellitus, 98 (51.3%) of them had DR. The results of semiparametric regression model revealed that being male, hypertension, insulin treatment, and frequency of clinical visits had a significant linear relationships with the odds of having DR. In addition, the log- odds of having DR has a significant nonlinear relation with the interaction of age by gender (for female patients), duration of diabetes, interaction of cholesterol level by gender (for female patients), haemoglobin A1c, and interaction of haemoglobin A1c by fasting blood glucose with degrees of freedom [Formula: see text], respectively. The interaction of age by gender and cholesterol level by gender appear non significant for male patients. The result from the interaction of haemoglobin A1c (HbA1c) by fasting blood glucose (FBG) showed that the risk of DR is high when the level of HbA1c and FBG were simultaneously high.ConclusionClinical variables related to people with type II diabetes mellitus were strong predictive factors of DR. Hence, health professionals should be cautious about the possible nonlinear effects of clinical variables, interaction of clinical variables, and interaction of clinical variables with sociodemographic variables on the log odds of having DR. Furthermore, to improve intervention strategies similar studies should be conducted across the country.

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Arginase Gene Polymorphism Increases Risk of Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients.

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