Dataset Information

Genetic Determinants of Body Mass Index and Fasting Glucose Are Mediators of Grade 1 Diastolic Dysfunction.

ABSTRACT: Background Early (grade 1) cardiac left ventricular diastolic dysfunction (G1DD) increases the risk for heart failure with preserved ejection fraction and may improve with aggressive risk factor modification. Type 2 diabetes, obesity, hypertension, and coronary heart disease are associated with increased incidence of diastolic dysfunction. The genetic drivers of G1DD are not defined. Methods and Results We curated genotyped European ancestry G1DD cases (n=668) and controls with normal diastolic function (n=1772) from Vanderbilt's biobank. G1DD status was explored through (1) an additive model genome-wide association study, (2) shared polygenic risk through logistic regression, and (3) instrumental variable analysis using 2-sample Mendelian randomization (the inverse-variance weighted method, Mendelian randomization-Egger, and median) to determine potential modifiable risk factors. There were no common single nucleotide polymorphisms significantly associated with G1DD status. A polygenic risk score for BMI was significantly associated with increased G1DD risk (odds ratio [OR], 1.20 for 1-SD increase in BMI [95% CI, 1.08-1.32]; P=0.0003). The association was confirmed by the inverse-variance weighted method (OR, 1.89 [95% CI, 1.37-2.61]). Among the candidate mediators for BMI, only fasting glucose was significantly associated with G1DD status by the inverse-variance weighted method (OR, 4.14 for 1-SD increase in fasting glucose [95% CI, 1.55-11.02]; P=0.005). Multivariable Mendelian randomization showed a modest attenuation of the BMI association (OR, 1.84 [95% CI, 1.35-2.52]) when adjusting for fasting glucose. Conclusions These data suggest that a genetic predisposition to elevated BMI increases the risk for G1DD. Part of this effect may be mediated through altered glucose homeostasis.

SUBMITTER: Vaitinadin NS

PROVIDER: S-EPMC9238715 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Genetic Determinants of Body Mass Index and Fasting Glucose Are Mediators of Grade 1 Diastolic Dysfunction.

Vaitinadin Nataraja Sarma NS Shi Mingjian M Shaffer Christian M CM Farber-Eger Eric E Lowery Brandon D BD Agrawal Vineet V Gupta Deepak K DK Roden Dan M DM Wells Quinn S QS Mosley Jonathan D JD

Journal of the American Heart Association 20220603 11

Background Early (grade 1) cardiac left ventricular diastolic dysfunction (G1DD) increases the risk for heart failure with preserved ejection fraction and may improve with aggressive risk factor modification. Type 2 diabetes, obesity, hypertension, and coronary heart disease are associated with increased incidence of diastolic dysfunction. The genetic drivers of G1DD are not defined. Methods and Results We curated genotyped European ancestry G1DD cases (n=668) and controls with normal diastolic ...[more]

PMID: 35656995

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Project description:ImportanceUnderstanding the interplay between diabetes risk factors and diabetes development is important to develop individual, practice, and population-level prevention strategies.ObjectiveTo evaluate the progression from normal and impaired fasting glucose levels to diabetes among adults.Design, setting, and participantsThis retrospective community-based cohort study used data from the Rochester Epidemiology Project, in Olmsted County, Minnesota, on 44 992 individuals with at least 2 fasting plasma glucose (FPG) measurements from January 1, 2005, to December 31, 2017. People who met criteria for diabetes on or before their first FPG measurement were excluded. Data were electronically retrieved in December 2019 with analyses finalized in November 2024.ExposuresThe exposure was baseline FPG level, with covariates including the following measures that are consistently recorded in the electronic health record: body mass index (BMI), age, and sex.Main outcomes and measuresThe cumulative probability of freedom from diabetes was estimated and presented graphically using a Kaplan-Meier curve. Multivariable Cox proportional hazards regression modeling was used to estimate the partial hazard ratios (HRs) for variables of interest. Diabetes was defined as an FPG level greater than 125 mg/dL.ResultsA total of 44 992 individuals (mean [SD] age at baseline, 43.7 [11.8] years; 26 025 women [57.8%]) were included. The baseline mean (SD) BMI was 28.9 (6.6). Over a median follow-up of 6.8 years (IQR, 3.6-9.7 years), 3879 individuals (8.6%) developed diabetes. The Kaplan-Meier 10-year cumulative risk of incident diabetes was 12.8% (95% CI, 12.4%-13.2%). All initial FPG levels outside a range of 80 to 94 mg/dL were associated with increased risk for diabetes (ie, FPG <70 mg/dL: HR, 3.49 [95% CI, 2.19-5.57]; FPG 120-125 mg/dL: HR, 12.47 [10.84-14.34]). Other independent risk factors were male sex (HR, 1.31 [95% CI, 1.22-1.40]), older age (≥60 years: HR, 1.97 [95% CI, 1.71-2.28]), and any abnormal category of BMI, including underweight (BMI <18.5: HR, 2.42 [95% CI, 1.77-3.29]; BMI ≥40: HR, 4.03 [95% CI, 3.56-4.56]). There was a significant additive association of variables, particularly FPG level and BMI. For instance, a woman aged 55 to 59 years with a BMI of 18.5 to 24.9 and an FPG level of 95 to 99 mg/dL had an estimated 10-year diabetes risk of 7.0%. However, an almost doubling of risk to 13.0% was observed if the BMI was 30.0 to 34.9, and risk more than doubled again to 28.0% if FPG level also increased to 105 to 109 mg/dL. A nomogram was generated to facilitate individual classification into one of four 10-year risk categories.Conclusions and relevanceThis retrospective cohort study of 44 992 individuals suggests that FPG level, age, BMI, and male sex were all associated with development of diabetes, with significant interaction between these variables. These data contribute to understanding the clinical course of diabetes and highlight the substantial individual variation in diabetes risk according to commonly measured clinical variables. The findings facilitate lifestyle and pharmacologic interventions to treat those at highest risk of diabetes to reduce future morbidity and mortality. Further work is needed to validate this risk categorization tool for different populations.

Project description:Abstract Background: The uncoupling proteins (UCPs) belong to the mitochondrial inner membrane anion carrier superfamily and play an important role in energy homeostasis. UCP-1 is expressed mostly in brown adipose tissue (BAT) and act in the thermogenesis and regulation of energy expenditure. UCP-2 has a role in the metabolism of fatty acids direct and indirectly path insulin secretion. UCP-3 is specific of skeletal muscle and BAT and may affects the adaptive and translocation of fatty acids. Genetic polymorphisms in these proteins have been associated with obesity, as rs1800592 (-3826 A/G) in UCP-1 gene. The rs659366 (-866GA) UCP-2 has being associated with high expression of its RNAm, decrease of obesity risk, and increase of energy expenditure. The rs1800849 (-55CT) UCP-3 has been associated with low risk of type 2 Diabetes Mellitus, but its association with body mass index is controversial. Objective: To analyze the association of the polymorphisms rs1800592 UCP-1, rs659366 UCP-2, and rs1800849 UCP-3 with BMI and resting energy expenditure (REE). Material and Methods: We included 120 subjects with BMI>30kg/m2 and 100 subjects with BMI between18.5 -24.9 kg/m2, aged 20 to 50 years. Anthropometric data were recorded and the REE was measure for indirect calorimetric. Fasting glucose and lipid profile were assessed. Leptin, insulin and acylated-ghrelin were quantified by ELISA. Genomic DNA was extracted using comercial kit. Genotyping for three polymorphisms was performed by allelic discrimination using Taqman probes. Results: All the three polymorphisms of UCPs showed distribution in accordance with Hardy-Weinberg equilibrium. The weight, BMI, glucose, triglycerides, leptin, insulin, HOMA-IR, and REE levels were signitifcantly higher in obese subjects. There was a strong correlation between REE with BMI (r=0.42, p<0.00001) and with insulin levels (r=0.229, p=0.001) in all group. No differences in genotypic and allelic frequencies of rs1800592 UCP-1, rs659366 UCP-2 and rs180084 UCP-3 polymorphisms between obese and lean subjects. No differences among the genotypes rs1800592 UCP-1 and rs1800849 UCP-3 with metabolic variables. In rs659366 UCP-2 polymorhism, the REE and glucose concentrations were lower in carriers of rs659366AA genotype (F=3.11, p=0.046; F=2.97, p=0.053, respectively) in whole group. In obese subjects with rs659366AA UCP-2 genotype, the REE was significantly low (F=4.15, P=0.017). Conclusion. In this work the obese subjects with rs659366AA genotype had low REE. We found low glucose concentrations in the carries of rs659366 AA genotype.

Dataset Information

Genetic Determinants of Body Mass Index and Fasting Glucose Are Mediators of Grade 1 Diastolic Dysfunction.

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Genetic Determinants of Body Mass Index and Fasting Glucose Are Mediators of Grade 1 Diastolic Dysfunction.

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