Genetics of the metabolic syndrome

2007 ◽  
Vol 32 (1) ◽  
pp. 89-114 ◽  
Author(s):  
Margarita Terán-García ◽  
Claude Bouchard
Keyword(s):  
Metabolic Syndrome ◽  
Genetic Basis ◽  
Familial Aggregation ◽  
Genetic Studies ◽  
True Nature ◽  
The Metabolic Syndrome ◽  
Genome Wide ◽  
The Individual ◽  
Ectopic Fat Deposition ◽  
Key Questions

The concept of a metabolic syndrome (MetS), a cluster of pre-clinical metabolic alterations commonly associated with obesity, is the object of much debate. Genetic studies have the potential to contribute to some of the key questions, including the true nature of the cluster of pre-clinical features and whether it is associated with human genetic variation. This review summarizes the evidence for the presence of familial aggregation for the individual components of MetS and their heritability levels. It also provides an overview of the studies that have dealt with candidate genes for MetS. Potential leads from genome-wide linkage scans are also discussed. The assumption is made that obesity, ectopic fat deposition and abnormal adipose tissue metabolism are responsible for alterations in lipid metabolism, which in turn generates the commonly observed pre-clinical shifts in glucose tolerance, lipids and lipoprotein profile, blood pressure, inflammatory markers, endothelial function, and a prothrombotic state. Progress in the understanding of the genetic basis of MetS should occur as soon as a consensus is reached on the true nature of MetS, its components and diagnostic criteria.

Familial Aggregation of the Metabolic Syndrome: Tehran Lipid and Glucose Study

2009 ◽  
Vol 54 (3) ◽  
pp. 189-196 ◽  
Author(s):  
Fereidoun Azizi ◽  
Zeinab Kishani Farahani ◽  
Arash Ghanbarian ◽  
Farhad Sheikholeslami ◽  
Parvin Mirmiran ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Familial Aggregation ◽  
The Metabolic Syndrome

The Metabolic SYNDROME and the RISK of Venous Thrombosis: RESULTS of AN Individual LEVEL Patient Meta-ANALYSIS

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3177-3177
Author(s):  
Francesco Dentali ◽  
Cihan Ay ◽  
Moon Jang ◽  
Matteo di Minno ◽  
Ingrid Pabinger ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Multivariate Analysis ◽  
Conflicts Of Interest ◽  
Meta Analysis ◽  
Visceral Obesity ◽  
The Metabolic Syndrome ◽  
Increased Risk ◽  
Individual Features ◽  
The Individual ◽  
The Impact

Abstract Abstract 3177 Background: The metabolic syndrome (MS) is a cluster of interrelated risk factors that identify patients at increased risk of cardiovascular events. Recent studies also suggested an association between MS and venous thromboembolism (VTE). However, the role of the individual features of MS and whether MS and its features are more important than obesity alone to predict VTE remain to be established. Methods: We performed an individual patient level meta-analysis of case-control studies comparing the prevalence of MS in patients with unprovoked VTE and in controls. MEDLINE, EMBASE databases, and abstract books were searched up to January 2010. Odds ratios (OR) and 95% confidence intervals of pooled results were calculated. The influence of individual variables (age, sex, BMI and MS) on the likelihood of VTE was compared using logistic regression analysis. Multivariate analysis was subsequently performed including the individual components of MS in the place of MS. The impact of increasing number of individual components of MS on the risk of VTE was investigated. Results: Four studies were identified and analyzed, for a total of 1332 patients (479 cases and 833 controls). Mean age was 53.3 and 52.7, respectively (p=n.s.), 49.5% cases and 42.4% controls were males (p=0.0003), 38.8% and 30.0% were obese (p=0.0001). MS was significantly associated with VTE (OR 1.97, 1.57–2.47), and the association linearly increased with the number of MS features (p for trend <0.001). At multivariate analysis, MS but not obesity remained associated with VTE (OR 1.92, 1.50–2.46 and 1.14, 0.88–1.47, respectively). All individual features of MS, but HDL cholesterol, were independently associated with VTE. Conclusions: The results of this meta-analysis confirm the association between MS and VTE and suggest that MS (and visceral obesity defined by increased waist circumference) could be a more important predictor of VTE than obesity defined by BMI. Disclosures: No relevant conflicts of interest to declare.

scholarly journals The severity features of artharagra clinical course in metabolic syndrome

2020 ◽  
Vol 6 ◽  
pp. 76-79
Author(s):  
Kayumov U.K ◽  
D.T. Khatamova ◽  
M.L. Saipova ◽  
G.M. Khamidova ◽  
M.M. Ziyamukhammedova
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Direct Relationship ◽  
Clinical Course ◽  
Clinical Disease ◽  
The Metabolic Syndrome ◽  
High Incidence ◽  
The Individual ◽  
Metabolic Syndrome Components

A few studies have been devoted to the metabolic syndrome and insulin resistance study in artharagra, which showed the syndrome presence and its characteristic insulin resistance in the overwhelming patients’ number. Only a few studies have reported on the insulin resistance effect and hyperinsulinemia on the artharagra course, in particular on the articular syndrome and other clinical disease manifestations. Nevertheless, they showed a high incidence of metabolic syndrome and its characteristic insulin resistance in the vast majority patients with artharagra. A direct relationship was revealed between the individual metabolic syndrome components, in particular, insulin resistance and hyperinsulinemia, and the hyperuricemia severity, which is accompanied by a more severe artharagray arthritis course in patients with artharagra.

scholarly journals Genome-wide methylation data improves dissection of the effect of smoking on body mass index

PLoS Genetics ◽  
2021 ◽  
Vol 17 (9) ◽  
pp. e1009750
Author(s):  
Carmen Amador ◽  
Yanni Zeng ◽  
Michael Barber ◽  
Rosie M. Walker ◽  
Archie Campbell ◽  
...  
Keyword(s):  
Complex Traits ◽  
Genetic Basis ◽  
Environmental Changes ◽  
Total Contribution ◽  
Genetic Studies ◽  
Socioeconomic Changes ◽  
Genome Wide ◽  
A Genome ◽  
Causes Of Disease ◽  
Wide Perspective

Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates, so the genetic contribution to variation in obesity-related traits cannot be accurately assessed. Some studies have described interactions between a few individual genes linked to obesity and environmental variables but there is no agreement on their total contribution to differences between individuals. Here we compared self-reported smoking data and a methylation-based proxy to explore the effect of smoking and genome-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain. Our results indicate that exploiting omic measures can improve models for complex traits such as obesity and can be used as a substitute for, or jointly with, environmental records to better understand causes of disease.

scholarly journals METABOLIC SYNDROME

2018 ◽  
Vol 25 (02) ◽  
pp. 277-281
Author(s):  
Ayesha Anwer ◽  
Majid Kaleem ◽  
Hassan Abbas ◽  
Asif Hanif
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Cardiology Department ◽  
Common Risk Factors ◽  
The Individual ◽  
Study Setting

Objectives: The objective of this study was to investigate the importance ofindividual IHD risk factors and major components of the metabolic syndrome associated withIHD. Study Design: Descriptive cross sectional study. Setting: Cardiology Department ofGulab Devi Chest Hospital Lahore. Period: Nov, 2015 to Feb, 2016. Methodology: Patientsof either gender and from 20 to 90 year of age admitted with IHD via emergency departmentwere recruited after informed consent. The frequency of metabolic syndrome was evaluated inthese patients. In addition the individual component of metabolic syndrome as risk factor of IHDwas calculated. The data was analysed by using the SPSS version.16. Results: The metabolicsyndrome present in 44.67%of IHD patients and more prevalent in men 52% than in women48%. Total of 150 patients of IHD studied with both gender as male 94(63.33%) vs female 55(36.67%). The most common risk factor of metabolic syndrome for IHD was high blood pressurepresent in 75% of patients followed by diabetes in 50%, abdominal obesity 40.67%, low HDL42.67% and high TG in 32%. Conclusion: The metabolic syndrome is highly prevalent amongIHD patients especially in men. The most common risk factors are hypertension and diabetes.

scholarly journals Phenotypic, genetic, and genome-wide structure in the metabolic syndrome

BMC Genetics ◽  
2003 ◽  
Vol 4 (Suppl 1) ◽  
pp. S95 ◽  
Author(s):  
Lisa J Martin ◽  
Kari E North ◽  
Tom Dyer ◽  
John Blangero ◽  
Anthony G Comuzzie ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
The Metabolic Syndrome ◽  
Genome Wide
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