-2548G>A LEP Polymorphism Is Positively Associated with Increased Leptin and Glucose Levels in Obese Saudi Patients Irrespective of Blood Pressure Status.
Essa M SabiLotfi S Bin DahmanAbdul Khader MohammedKhalid M SumailyNasser M Al-DaghriPublished in: Medicina (Kaunas, Lithuania) (2022)
Background and Objectives : In this study, we aimed to investigate the link between common -2548G>A (rs7799039) promoter variant of the human leptin gene ( LEP ) with leptin and serum glucose leptin levels in obese Saudi patients. Materials and Methods : A total of 206 Saudi adults (80 obese normotensive nondiabetics, 76 obese hypertensive with Type 2 Diabetes and 50 normotensive nondiabetic controls) were genotyped for -2548G>A LEP polymorphism using the polymerase chain reaction-restriction fragment-length polymorphism technique. Results: Participants with minor AA genotype had significantly higher blood glucose levels (6.8 ± 0.55 mmol/L vs. 5.8 ± 0.30 mmol/L; p < 0.04) and HOMA-IR (4.1 ± 0.84 vs. 2.6 ± 0.67; p = 0.03) against those carrying major GG genotype. Participants with heterozygous GA genotype had significantly higher serum leptin levels against those carrying major GG genotype (40.0 ± 2.6 ng/mL vs. 29.6 ± 2.6 ng/mL; p = 0.04). Further investigation showed that individuals with AA, GA, GA + AA genotypes are at greater risk of developing hyperglycemia compared to those with GG genotype [OR 3.7(1.6-8.4), p = 0.001; 3.2 (1.2-8.6), p = 0.03; 3.5 (1.6-7.7), p = 0.001, respectively]. Additionally, the -2548AA allele was shown to be a risk factor for hyperglycemia [OR 1.9 (1.2-3.0), p = 0.006]. Our data revealed no relationship between this variant of the LEP gene with systolic and diastolic BP, signifying that this genetic variant is not a significant marker of obesity and hypertension in the Saudi population. Conclusions : AA and GA genotypes and LEP gene -2548AA alleles may signify potent risk factors predisposing healthy individuals to develop T2DM regardless of blood-pressure profile.
Keyphrases
- blood pressure
- blood glucose
- pet ct
- weight loss
- metabolic syndrome
- end stage renal disease
- ejection fraction
- type diabetes
- adipose tissue
- risk factors
- hypertensive patients
- genome wide
- newly diagnosed
- heart rate
- chronic kidney disease
- copy number
- glycemic control
- heart failure
- peritoneal dialysis
- prognostic factors
- left ventricular
- gene expression
- endothelial cells
- transcription factor
- machine learning
- oxidative stress
- artificial intelligence
- big data
- atrial fibrillation
- genome wide identification