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Objectives: The aim of the study was to investigate the association of 55 SNPs in 28 genes with obesity risk in a North Indian population using a multianalytical approach., Methods: Overall, 480 subjects from the North Indian population were studied using strict inclusion/exclusion criteria. SNP Genotyping was carried out by Sequenom Mass ARRAY platform (Sequenom, San Diego, CA) and validated Taqman ® allelic discrimination (Applied Biosystems ® ). Statistical analyses were performed using SPSS software version 19.0, SNPStats, GMDR software (version 6) and GENEMANIA., Results: Logistic regression analysis of 55 SNPs revealed significant associations (P < .05) of 49 SNPs with BMI linked obesity risk whereas the remaining 6 SNPs revealed no association (P > .05). The pathway-wise G-score revealed the significant role (P = .0001) of food intake-energy expenditure pathway genes. In CART analysis, the combined genotypes of FTO rs9939609 and TCF7L2 rs7903146 revealed the highest risk for BMI linked obesity. The analysis of the FTO-IRX3 locus revealed high LD and high order gene-gene interactions for BMI linked obesity. The interaction network of all of the associated genes in the present study generated by GENEMANIA revealed direct and indirect connections. In addition, the analysis with centralized obesity revealed that none of the SNPs except for FTO rs17818902 were significantly associated (P < .05)., Conclusions: In this multi-analytical approach, FTO rs9939609 and IRX3 rs3751723, along with TCF7L2 rs7903146 and TMEM18 rs6548238, emerged as the major SNPs contributing to BMI linked obesity risk in the North Indian population., (© 2016 Wiley Periodicals, Inc.)

Background: Obesity is an increasingly important health problem worldwide as well as in developing countries like India. Recent genetic studies suggest that obesity associated FTO and IRX3 are functionally linked and many effects due to genetic variants in FTO gene act through IRX3., Aim: To evaluate the association of FTO and IRX3 genetic variants towards obesity risk., Subjects and Methods: North Indian individuals categorised as non-obese (BMI < 30 kg/m(2)) and obese (BMI ≥ 30 kg/m(2)) were selected. FTO rs8050136, rs1421085, rs9939609, rs17817449 and IRX3 rs3751723 were genotyped by means of validated Taqman® allelic discrimination to evaluate their association with obesity by means of single locus logistic regression by SPSS ver. 19 and multi-locus linkage and haplotype analysis by SNPStats and gene-gene interaction with Generalised Multifactor Dimensionality Reduction (GMDR) ver.6., Results: In single locus analysis, FTO rs8050136 CA (p = 0.0001; OR (95% CI) = 2.4 (1.7-3.4) and AA (p = 0.0001; OR (95% CI) = 3.1 (1.9-5.2); FTO rs1421085 TA (p = 0.0001; OR (95% CI) = 2.1 (1.4-3.0) and AA (p = 0.0001; OR (95% CI) = 3.0 (1.8-5.0); FTO rs9939609 TC (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and CC (p = 0.0001; OR (95% CI) = 4.2 (2.5-7.3) along with TG (p = 0.001; OR (95% CI) = 2.1 (1.3-3.2) and GG (p = 0.021; OR (95% CI) = 3.8 (1.2-11.8) genotypes of FTO rs17817449 with GT (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and TT (p = 0.012; OR (95% CI) = 3.3 (1.8-3.6) genotypes of IRX3 rs3751723 were significantly associated with obesity. In multi-locus analysis, SNPs of FTO and IRX3 were in strong linkage disequilibrium and in haplotype and GMDR analysis the SNPs were significantly associated with obesity risk (p < 0.05)., Conclusion: This is the first study to reveal that genetic variants of both FTO and IRX3 genes are in high linkage disequilibrium (LD) and are associated with obesity risk in North Indians.

Background: Obesity is a multi-factorial disorder influenced by genetic and environmental factors. The physiological pathways associated with obesity are complex and involve several genes., Aim: The aim of this survey is to evaluate the association of genetic variants of melanocortin-4-receptor (MC4R), pro-opiomelanocortin (POMC), apolipoprotein E (APOE) and agouti-related protein (AGRP) with obesity in the North Indian population., Methods: MC4R rs17782313, POMC rs1042571, APOE-Hha1 and AGRP rs3412352 polymorphisms were investigated for their association in 396 obese individuals with BMI ≥ 30 kg/m(2) and 300 healthy non-obese individuals with BMI < 30 kg/m(2). Genotyping was performed using Taqman probes and PCR-RFLP methods. Single locus logistic regression analysis was conducted using (SPSS), ver.19 and PLINK software Version 1.01 and high order genetic interactions associated with obesity risk were analysed using MDR software (version 2.3.0.2)., Results: The genotypes of MC4R rs17782313, POMC rs1042571 and APOE-Hha1 were significantly associated with obese individuals (BMI ≥ 30 kg/m(2)) when compared with non-obese individuals (BMI < 30 kg/m(2)). No association of AGRP rs34123523 was seen with obesity., Conclusions: The best interaction model for predicting obesity risk by MDR analysis was the three factor model including POMC (C > T), MC4R (T > C) and APOE (Hha1) polymorphisms. Genetic variants in MC4R, POMC and APOE genes might play significant roles in predisposing obesity (BMI ≥ 30 kg/m(2)) in the North Indian population.

Objectives: The worldwide increasing prevalence of obesity is considered as a major health problem. Peroxisome proliferator-activated receptor gamma (PPAR-γ) controls adipocyte differentiation and regulates a number of genes associated with energy homeostasis. In this study, we investigated the association of PPAR-γ gene Pro12Ala (rs1801282) and C1431T (rs3856806) polymorphisms with morbid obesity and related phenotypes, in north Indian population., Methods: A total of 6,42 subjects, 309, obese and 333 nonobese individuals were included in this case-control study. Insulin, adiponectin, glucose, and lipid levels were estimated using standard protocols. All subjects were genotyped by PCR restriction fragment length polymorphism (PCR-RFLP) method., Results: The ProAla+AlaAla genotypes of PPAR-γ Pro12Ala were significantly associated with higher risk of obesity while C1431T polymorphism did not show any significant association. None of the haplotypes showed association with morbid obesity. However, a strong association of variant genotypes was observed with higher levels of insulin, HOMA-IR, and lower serum adiponectin concentrations., Conclusion: PPAR-γ gene polymorphisms influence obesity and obesity phenotype in a complex manner, probably involving insulin resistance in north Indian population., (Copyright © 2012 Wiley Periodicals, Inc.)

Background: Obesity is a very common disorder directly linked with various diseases such as type-2 diabetes, hypertension and atherosclerosis. Variants in the FTO gene have been associated with Body Mass Index in Western European and North American populations., Aim: This study analysed the association between the FTO gene variant rs17817449 (G>T) and obesity and obesity-related phenotypes in a north Indian population., Subjects and Methods: A total of 642 subjects, 309 obese and 333 non-obese individuals, were included in this case-control study. Genotyping of FTO gene (rs17817449) polymorphism for all subjects was performed by the PCR-RFLP method., Results: Significant associations were found for FTO rs17817449 SNP with obesity and obesity-related phenotypes. The strongest associations were observed between the rs17817449 and fasting blood glucose, insulin, homeostasis model of assessment--insulin resistance (HOMA-IR) and fat mass under a recessive model., Conclusions: This study replicated the genetic association of SNP of FTO (rs17817449) with obesity in a north Indian population and, to the authors' knowledge; this is the first such association study in a north Indian population. This study also established that SNP in intron 1 of FTO (rs17817449) are strongly associated with several measures of adiposity and are also associated with plasma insulin, insulin resistance, percentage body fat and fat mass.

A polymorphism in the promoter region of uncoupling protein 2 gene -866 G/A has been associated with its expression levels, the risk of obesity, and metabolic abnormalities. We aimed to investigate the associations of uncoupling protein (UCP)2 gene variants with obesity and related traits. A total of 440 subjects, 200 obese, and 240 non-obese individuals were included in this case-control study. Hormone and glucose levels were estimated using standard protocols. Genotyping of UCP-2 gene polymorphism for all subjects was performed by the PCR-RFLP polymerase chain reaction (PCR) method. Higher Systolic blood pressure, Diastolic blood pressure, Waist to hip ratio, Leptin, Insulin, and blood glucose levels were observed in obese than non-obese (P < 0.05). The distributions of genotype (0.001) and allele (0.003) were significantly different between the non-obese and the obese groups. In the obese group, subjects with the A allele showed significant high insulin levels (<0.001) in comparison with A allele non-carriers. In conclusion, our results suggest that the -866 AA genotype and A allele of the UCP2 gene is associated with obesity and A allele associated with hyperinsulinemia in obese subjects.

Background The pathophysiology of obesity is known to be influenced by alterations in lipid levels. We aimed to evaluate association of cholesteryl ester transfer protein (CETP) and apolipoprotein (APO) E gene variants with asymptomatic obesity. Methods A total of 437 subjects, 159 asymptomatic obese (BMI = 29.29 +/- 3.76) and 278 non-obese (BMI = 23.38 +/- 1.71) individuals, were included in this case-control study. Lipid levels were estimated using standard protocols. Analysis of CETP (TaqIB) and APOE (HhaI) gene polymorphisms was done using PCR-RFLP. Results We found significant difference in blood pressure (systolic, P < 0.0001 and diastolic, P < 0.0001), total cholesterol (P < 0.0001), LDL-cholesterol (P < 0.0001), and HDL-cholesterol (P < 0.0001) in obese as compared to non-obese group. Homozygous APO E4E4 genotype was only observed in 5.7% of obese individuals and none in non-obese group. APO E4 allele carriers were also susceptible for obesity (P = 0.016, OR = 1.73; 95% CI = 1.12-2.68) than non-carriers. Higher blood pressure (Systolic, P = 0.001 and Diastolic, P = 0.004) and triglyceride levels (P = 0.029) were observed in obese subjects with APO E4 allele than individuals without APO E4. However, CETP B1 variant allele carriers did not show alteration in blood pressure and lipid profile in asymptomatic obese subjects. Conclusions APO E4 genotype and allele were found to be associated with asymptomatic obesity, whereas CETP Taq1B polymorphism showed no such association in North Indian subjects.

Obesity, a global problem, is a multifactorial disorder. The factors are environmental, metabolic and genetic and their interaction with each other regulates the body weight. Imbalance in either of the factors may be responsible for weight gain. With advancement of research techniques in the last decade, genetic studies have been undertaken for several different causative mutations involving obesity loci on different chromosomes. Monogenic and polygenic obesity has been observed however, polygenic forms are more common. So far more than 200 genes in mouse and more than 100 genes in humans have been identified which result in phenotypes that affect body weight regulation. In spite of this knowledge, the field of obesity has still not been explored extensively. There remain a lot of lacuna regarding causes and treatment of obesity. Challenges are still there to identify the exact cause of weight gain and the use of current knowledge for development of anti-obesity drugs targeted for body weight regulation. In this review, we have explained neuropathophysiologic regulation of feeding behaviour and some aspects of obesity-genetics especially with single nucleotide polymorphism of selected candidate genes and their functional aspects mainly in monogenic obesity.

Introduction: In a normal healthy adult, sympathetic and parasympathetic system should be in synergy. Measuring resting heart rate is a one of the methods to assess health condition. It can be affected by different factors such as exercise, mental health, any disease, etc. Normal subjects with reduced heart rate are associated with better cardiovascular health. Physical inactivity is associated with high level of inflammatory markers. Increased inflammatory markers are related to inflammation and chronic diseases. C-Reactive Protein (CRP) is a biomarker of inflammatory diseases. High CRP level is a potent risk factor for obesity, diabetes, atherosclerosis, etc. Aim: To study the effect of short-term endurance and resistance exercises in healthy young adults on resting heart rate, CRP body mass index and also to compare the changes between two exercise groups. Materials and Methods: A cross-sectional study was conducted from May 2019 to May 2020 in the Department of Physiology at King George's Medical University, Lucknow, Uttar Pradesh, India. The study included 60 healthy young subjects with normal Body Mass Index (BMI) (18.5-24.9 kg/m2) and age between 18-25 years participated. Subjects were equally divided into endurance (group I) and resistance exercise (group II) groups. Subjects did moderate intensity exercise (based on maximum heart rate) for five days in a week for eight weeks. Endurance group did jogging. Resistance group did pushup, pull-up and squats. Target heart rate during moderate intensity of activities is 64-76% of maximum heart rate. Heart rate measurement was done before the start of exercise and after five to seven minutes of exercise when it reached 64-76% of maximum heart rate. It was measured by pulse oximeter. Follow-up was done after eight weeks of exercise training in both the groups. Evaluation was done by comparing resting heart rate and CRP level before the start of training and after the completion of training programme. Statistical analysis was done using student t-test and paired t-test. Results: Mean age of subjects of group I was found to be higher (19.98±1.26 years) as compared to group II (19.97±0.98 years). Mean pre-intervention BMI of both the groups was found to be similar (21.97±1.78 kg/m2). No statistically significant change in resting heart rate was found in both resistance group (p-value=0.096) and endurance group (p-value=0.326) after exercise training. Statistically significant increase in CRP was found in resistance group (p-value<0.001) and endurance group (p-value<0.001). The increment in CRP was more in endurance group (55.04%) than resistance group (35.34%). Conclusion: Short duration of exercises increase inflammation but no significant effect on resting heart rate was seen. [ABSTRACT FROM AUTHOR]

Objectives: Obesity increases the risk of numerous chronic diseases. Obesity is classified clinically using body mass index (BMI), waist-to-hip ratio, and body fat percentage. The lipoprotein lipase (LPL) gene has been linked to lipoprotein metabolism and obesity. We performed a case-control study to determine the association between LPL gene polymorphisms and obesity-associated phenotypes such as insulin resistance (IR). Methods: We examined the different LPL gene variants for association in 642 individuals segregated by BMI and IR. Genotyping of the LPL gene -93 and -53 promoter gene polymorphisms were analyzed using polymerase chain reaction-restriction fragment length polymorphism. Results: A substantial association was observed for -93 gene polymorphism of the LPL gene with obesity, while -53 promoter gene polymorphism showed association with IR. Conclusions: We found a significant association between -93 and -53 promoter gene polymorphisms of the LPL gene with obesity and associated phenotypes in the studied population. [ABSTRACT FROM AUTHOR]

Objective: Genetic variants of the melanocortin-4 receptor gene (MC4R), agouti related protein (AGRP) and proopiomelanocortin (POMC) are reported to be associated with obesity. Therefore, the aim of this study is to examine MC4R rs17782313, MC4R rs17700633, AGRP rs3412352 and POMCrs1042571 for any association with obesity in North Indian subjects. Methods: The variants were investigated for association in 300 individuals with BMI ≥30 kg/m2 and 300 healthy non-obese individuals BMI <30 kg/m2. The genotyping were analyzed by Taqman probes. The statistical analysis was performed by the SPSS software, ver.19 and p≤0.05 was considered statistically significant. Results: The genotypes of MC4R rs17782313 and POMC rs1042571 were significantly associated with obesity (C), (p=0.02; OR=1.7 and p=0.01; OR=1.6, respectively); however, MC4Rrs17700633 (p=0.001; OR=0.55) was associated with low risk. In addition, AGRPrs3412352 (p=0.93; OR=0.96) showed no association with obesity (BMI ≥30 kg/m2) in North Indian subjects. Conclusion: This study provides the report about the significant association of MC4R (rs17782313) and POMC (rs1042571) with morbid obesity (BMI ≥30 kg/m2), but MC4R (rs17700633) and AGRP (rs34123523) did not show any association with obesity in the studied North Indian population. [ABSTRACT FROM AUTHOR]