Association of apolipoprotein B XbaI gene polymorphism and lipid profile in northern Indian obese
Neena Srivastava1, Jai Prakash1, Apurva Srivastava1, Chandra Gupta Agarwal2, Deep Chandra Pant2, Balraj Mittal3
1 Department of Physiology, KGMU UP, Lucknow, India (Formerly Chatrapati Shahuji Maharaj Medical University, Lucknow, Uttar Pradesh, India
2 Department of Medicine, KGMU UP, Lucknow, India (Formerly Chatrapati Shahuji Maharaj Medical University, Lucknow, Uttar Pradesh, India
3 Department of Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow - 226 014
Source of Support: Indian Council of Medical Research, DBT, New Delhi and intramural grant from KGMU UP, Lucknow – 226 003, India (Formerly Chatrapati Shahuji Maharaj Medical University, Lucknow, Uttar Pradesh, India),, Conflict of Interest: None
Background: Over the last few decades, obesity, diabetes, and hypertension have become main health evils. The health problems of obesity are well-recognized. However, the fact that all obese individuals are not at the same risk of developing a disease is also recognized. The apolipoprotein B (APOB) plays a central role in lipid metabolism. So we compare the association of APOB XbaI gene polymorphism and lipid profile total in obese north Indian population.
Materials and Methods: A total of 132 obese (body mass index [BMI] >25 kg/m 2 ) and 132 age matched non-obese (BMI ≤ 25 kg/m 2 ) subjects were studied after taking detailed clinical profile. Lipid profile in serum/plasma was done using commercial kits. Genetic analysis of APOB XbaI was done using Polymerase Chain Reaction-Restriction Fragment Leanth polymorphism (PCR-RFLP).
Statistical Analysis: Statistical analysis was performed by Statistical Package for the Social Sciences (SPSS) (version 11.5) software (IBM Corporation). All continuous variables were expressed as mean ± SD and tested by analysis of variance test. Comparisons of categorical variables were assessed using χ2 tests or Fisher's exact test. P < 0.05 was considered as significant.
Results: Analysis showed that obese subjects had significantly higher value of the waist-to-hip ratio, blood pressure (systolic and diastolic), and lipid profile. In APOB XbaI gene polymorphism, we did not find significant differences in genotype or allele frequencies. Moreover, none of the studied metabolic parameters (lipid profile) showed any association with the gene polymorphism.
Conclusions: Study reveals no considerable association of APOB XbaI gene polymorphism with obesity and lipid profile in north Indians.