Dataset Information

FTO and INSIG2 Genotyping Combined with Metabolic and Anthropometric Phenotyping of Morbidly Obese Patients.

ABSTRACT: Obesity is a major health problem worldwide. Associations of obesity with common variants of the fat mass- and obesity-associated gene (FTO) and insulin-induced gene 2 (INSIG2) have been reported in various studies. We aimed to further investigate the association of 2 single nucleotide polymorphisms (SNPs), rs9939609 in FTO and rs7566605 in INSIG2, with body mass index (BMI) and other anthropometric and metabolic parameters in subjects with morbid obesity (BMI ?40). SNPs rs9939609 and rs7566605 were genotyped in 124 unrelated morbidly obese patients (mean BMI = 50, range 40.1-77.1) from Mainz, Germany, and in 253 normal controls without a history of morbid obesity. Metabolic and anthropometric parameters were analyzed in 109 of the 124 patients, and associations with the genotype data were examined. The high-risk AA genotype for FTO rs9939609 was observed in 32.3% of patients versus 15.8% of controls (p = 0.0004) and was associated with an increased obesity risk [odds ratio (OR) = 2.54, 95% confidence interval (CI) = 1.53-4.21]. The intermediate-risk AT genotype was found in patients and controls at similar frequencies (48.4 vs. 48.6%, OR = 0.99). The low-risk TT genotype for rs9939609 was found in 19.4% of patients (35.5% of controls; p = 0.0013) and was associated with a decreased risk for morbid obesity (OR = 0.43, CI = 0.26-0.73). In contrast, INSIG2 rs7566605 showed no association with obesity in our patients. Evaluation of metabolic data indicated associations between the high-risk FTO genotype (rs9939609_AA) and increased levels of serum glutamic oxaloacetic transaminase (GOT) and between the high-risk INSIG2 genotype (rs7566605_CC) and lower waist-to-hip ratio and lower hemoglobin A1c (HbA1c) levels. Our results confirm an association of the FTO SNP with extreme obesity. However, we found no association of the potential obesity risk allele of INSIG2 in our sample and thus cannot confirm an association of the INSIG2 CC genotype with obesity. We identified an association between the high-risk FTO genotype (rs9939609_AA) and higher GOT levels, which could possibly reflect the increased frequency of nonalcoholic steatohepatitis with obesity. We also detected associations of the high-risk INSIG2 genotype (rs7566605_CC) with lower waist-to-hip ratios and lower HbA1c levels, which may indicate amelioration of impaired glucose tolerance and type 2 diabetes for patients with this genotype after bariatric surgery.

SUBMITTER: Burgdorfer E

PROVIDER: S-EPMC3776395 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

FTO and INSIG2 Genotyping Combined with Metabolic and Anthropometric Phenotyping of Morbidly Obese Patients.

Burgdörfer E E Korenkov M M Jonas D D Weise D D Haaf T T Zechner U U Bartsch O O

Molecular syndromology 20130814 6

Obesity is a major health problem worldwide. Associations of obesity with common variants of the fat mass- and obesity-associated gene (FTO) and insulin-induced gene 2 (INSIG2) have been reported in various studies. We aimed to further investigate the association of 2 single nucleotide polymorphisms (SNPs), rs9939609 in FTO and rs7566605 in INSIG2, with body mass index (BMI) and other anthropometric and metabolic parameters in subjects with morbid obesity (BMI ≥40). SNPs rs9939609 and rs7566605 ...[more]

PMID: 24167462

Similar Datasets

Project description:ObjectiveThe worldwide prevalence of obesity has increased to 10% in men and 15% in women and is associated with severe comorbidities such as diabetes, cancer, and cardiovascular disease. Animal models of obesity are central to experimental studies of disease mechanisms and therapeutic strategies. Diet-induced obesity (DIO) models in rodents have provided important insights into the pathophysiology of obesity and, in most instances, are the first in line for exploratory pharmacology studies. To deepen the relevance towards translation to human patients, we established a corresponding DIO model in Göttingen minipigs (GM).MethodsYoung adult female ovariectomized GM were fed a high-fat/high-energy diet for a period of 70 weeks. The ration was calculated to meet the requirements and maintain body weight (BW) of lean adult minipigs (L-GM group) or increased stepwise to achieve an obese state (DIO-GM group). Body composition, blood parameters and intravenous glucose tolerance were determined at regular intervals. A pilot chronic treatment trial with a GLP1 receptor agonist was conducted in DIO-GM. At the end of the study, the animals were necropsied and a biobank of selected tissues was established.ResultsDIO-GM developed severe subcutaneous and visceral adiposity (body fat >50% of body mass vs. 22% in L-GM), increased plasma cholesterol, triglyceride, and free fatty acid levels, insulin resistance (HOMA-IR >5 vs. 2 in L-GM), impaired glucose tolerance and increased heart rate when resting and active. However, fasting glucose concentrations stayed within normal range throughout the study. Treatment with a long-acting GLP1 receptor agonist revealed substantial reduction of food intake and body weight within four weeks, with increased drug sensitivity relative to observations in other DIO animal models. Extensive adipose tissue inflammation and adipocyte necrosis was observed in visceral, but not subcutaneous, adipose tissue of DIO-GM.ConclusionsThe Munich DIO-GM model resembles hallmarks of the human metabolic syndrome with extensive adipose tissue inflammation and adipocyte necrosis reported for the first time. DIO-GM may be used for evaluating novel treatments of obesity and associated comorbidities. They may help to identify triggers and mechanisms of fat tissue inflammation and mechanisms preventing complete metabolic decompensation despite morbid obesity.

Project description:INTRODUCTION:Acetaminophen (paracetamol) is mainly metabolized via glucuronidation and sulphation, while the minor pathway through cytochrome P450 (CYP) 2E1 is held responsible for hepatotoxicity. In obese patients, CYP2E1 activity is reported to be induced, thereby potentially worsening the safety profile of acetaminophen. The aim of this study was to determine the pharmacokinetics of acetaminophen and its metabolites (glucuronide, sulphate, cysteine and mercapturate) in morbidly obese and non-obese patients. METHODS:Twenty morbidly obese patients (with a median total body weight [TBW] of 140.1 kg [range 106-193.1 kg] and body mass index [BMI] of 45.1 kg/m(2) [40-55.2 kg/m(2)]) and eight non-obese patients (with a TBW of 69.4 kg [53.4-91.7] and BMI of 21.8 kg/m(2) [19.4-27.4]) received 2 g of intravenous acetaminophen. Fifteen blood samples were collected per patient. Population pharmacokinetic modelling was performed using NONMEM. RESULTS:In morbidly obese patients, the median area under the plasma concentration-time curve from 0 to 8 h (AUC0-8h) of acetaminophen was significantly smaller (P = 0.009), while the AUC0-8h ratios of the glucuronide, sulphate and cysteine metabolites to acetaminophen were significantly higher (P = 0.043, 0.004 and 0.010, respectively). In the model, acetaminophen CYP2E1-mediated clearance (cysteine and mercapturate) increased with lean body weight [LBW] (population mean [relative standard error] 0.0185 L/min [15 %], P < 0.01). Moreover, accelerated formation of the cysteine and mercapturate metabolites was found with increasing LBW (P < 0.001). Glucuronidation clearance (0.219 L/min [5 %]) and sulphation clearance (0.0646 L/min [6 %]) also increased with LBW (P < 0.001). CONCLUSION:Obesity leads to lower acetaminophen concentrations and earlier and higher peak concentrations of acetaminophen cysteine and mercapturate. While a higher dose may be anticipated to achieve adequate acetaminophen concentrations, the increased CYP2E1-mediated pathway may preclude this dose adjustment.

Dataset Information

FTO and INSIG2 Genotyping Combined with Metabolic and Anthropometric Phenotyping of Morbidly Obese Patients.

Publications

FTO and INSIG2 Genotyping Combined with Metabolic and Anthropometric Phenotyping of Morbidly Obese Patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets