Association of FADS2 rs174575 gene polymorphism and insulin resistance in type 2 diabetes mellitus.

BACKGROUND: Many risk factors contribute to the pathogenesis of diabetes. Gene and lifestyle factors are considered to be the major contributors. A dietary pattern is attributed to be one of the lifestyle risk factors favoring diabetes. The present study aims to find an association between fatty acid desaturase (FADS) gene polymorphism and glycemic profile in type 2 diabetes mellitus (T2DM). METHODOLOGY: A total of 429 subjects were included in the study on the basis of inclusion and exclusion criteria, of which 213 and 216 subjects were diabetic and control, respectively. Body mass index was calculated. Fasting plasma glucose, glycated hemoglobin (HbA1c) and insulin were measured using commercially available kits. rs174575 of FADS2 was selected based on previous publications and identified using the dbSNP database. To compare the biochemical parameters with the genotype, the following three models were used: additive model (CC vs CG vs GG), dominant model (CC + CG vs GG), and recessive model (CC vs CG + GG). RESULTS AND DISCUSSION: FBS, HbA1c, insulin, HOMA-IR, and HOMA-B exhibited a high and statistically significant difference between subjects and controls. The three models exhibited a statistically significant difference between FBS, HOMA-IR, and HOMA- B (p<0.05). CONCLUSION: The distribution of rs174575 genotype differed significantly between the subjects and controls in the present study. The study revealed that genetic variation in FADS2 is an additional facet to consider while studying the risk factors of T2DM.

Thyroid function in type 2 diabetes mellitus and in diabetic nephropathy.

INTRODUCTION: Diabetic patients have higher prevalence of thyroid disorders than the general population which may have an influence on diabetic management. The present study compared the levels of thyroid hormones, serum creatinine, glycated haemoglobin and urine microalbumin between type 2 diabetics without any complications, type 2 diabetics with nephropathy and age and sex matched normal controls. RESULT: The mean serum T3 level in type 2 diabetics without any complications was 91.27 ± 14.56 ng/dl , in type 2 diabetics with nephropathy was 88.5320 ± 30.87 ng/dl and in controls was 134.98 ± 28.55 ng/dl. The mean serum T4 level in type 2 diabetics without any complications was 7.73 ± 1.42 µg/dl, in type 2 diabetics with nephropathy was 7.25 ± 2.72 µg/dl and in controls was 8.61 ± 1.73 µg/dl. The mean serum TSH level in type 2 diabetics without any complications was 3.99 ± 1.87 µIU/ml, in type 2 diabetics with nephropathy was 4.27 ± 1.62 µIU/ml and in controls was 2.07 ± 1.09 µIU/ml. Correlations between T3, T4, TSH with serum creatinine, glycated haemoglobin were not statistically significant in type 2 diabetes without any complications and diabetic nephropathy. We found a statistically significant correlation between T3 and urine microalbumin in patients with diabetic nephropathy. CONCLUSION: Failure to recognize the presence of abnormal thyroid hormone levels may be a primary cause of poor management of diabetes mellitus type 2. Therefore there is a need for the routine assay of thyroid hormones in type 2 diabetics and diabetic nephropathy in order to improve the quality of life and reduce the morbidity.

Predictive value of serum sialic Acid in type-2 diabetes mellitus and its complication (nephropathy).

INTRODUCTION: Sialic acid levels are increased in type-2 diabetes mellitus and its estimation helps in predicting the occurrence of microvascular complication such as diabetic nephropathy. The present study compared the levels of sialic acid, glycated haemoglobin, serum creatinine and urine microalbumin: in type-2 diabetics without any complications; in type-2 diabetics with nephropathy; and in age and sex matched healthy individual (controls). RESULTS: The study observed an increased level of sialic acid in type-2 diabetics without any complications and type-2 diabetics with nephropathy. Serum sialic acid levels in type-2 diabetics without any complications was 64.44 ± 3.93 mg/dl, in type-2 diabetics with nephropathy was 73.88 ± 4.41 mg/dl, and in controls it was 53.16 ± 3.40 mg/dl. Urine sialic acid levels in type-2 diabetics without any complications was 6.62 ± 0.70 mg/dl, in type-2 diabetics with nephropathy was 8.46 ± 0.97 mg/dl, and in controls it was 4.44 ± 0.62 mg/dl. Correlation of sialic acid levels with glycated haemoglobin and urine microalbumin was statistically significant but with serum creatinine was not statistically significant. CONCLUSION: Sialic acid is an important component of vascular cell membrane. Their increased levels indicate extensive vascular damage in type-2 DM. Therefore, estimation of sialic acid levels help in early prediction and prevention of microvascular complications occurring due to diabetics, thereby decreasing the mortality and morbidity in them.