Literature DB >> 15890790

Genetic and physiological insights into the metabolic syndrome.

Robert A Hegele1, Rebecca L Pollex.   

Abstract

The metabolic syndrome (MetS) is a common phenotype that is clinically defined by threshold values applied to measures of central obesity, dysglycemia, dyslipidemia, and/or elevated blood pressure, which must be present concurrently in any one of a variety of combinations. Insulin resistance, although not a defining component of the MetS, is nonetheless considered to be a core feature. MetS is important because it is rapidly growing in prevalence and is strongly related to the development of cardiovascular disease. To define etiology, pathogenesis and expression of MetS, we have studied patients, specifically Canadian families and communities. One example is familial partial lipodystrophy (FPLD), a rare monogenic form of insulin resistance caused by mutations in either LMNA, encoding nuclear lamin A/C (subtype FPLD2), or in PPARG, encoding peroxisomal proliferator-activated receptor-gamma (subtype FPLD3). Because it evolves slowly and recapitulates key clinical and biochemical attributes, FPLD seems to be a useful monogenic model of MetS. A second example is the disparate MetS prevalence between two Canadian aboriginal groups that is mirrored by disparate prevalence of diabetes and cardiovascular disease. Careful phenotypic evaluation of such special cases of human MetS by using a wide range of diagnostic methods, an approach called "phenomics," may help uncover early presymptomatic disease biomarkers, which in turn might reveal new pathways and targets for interventions for MetS, diabetes, and atherosclerosis.

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Year:  2005        PMID: 15890790     DOI: 10.1152/ajpregu.00275.2005

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  9 in total

1.  Cholesteryl ester transfer protein (CETP) -629C/A polymorphism and it's effects on the serum lipid levels in metabolic syndrome patients.

Authors:  M Akbarzadeh; T Hassanzadeh; M Saidijam; R Esmaeili; Sh Borzouei; M Hajilooi; H Mahjub; M Paoli
Journal:  Mol Biol Rep       Date:  2012-06-23       Impact factor: 2.316

Review 2.  Metabolism and the circadian clock converge.

Authors:  Kristin Eckel-Mahan; Paolo Sassone-Corsi
Journal:  Physiol Rev       Date:  2013-01       Impact factor: 37.312

3.  Clinical Utility Gene Card for: Familial partial lipodystrophy.

Authors:  Isabelle Jéru; Camille Vatier; David Araujo-Vilar; Corinne Vigouroux; Olivier Lascols
Journal:  Eur J Hum Genet       Date:  2016-08-03       Impact factor: 4.246

4.  Metabolic syndrome in a metapopulation of Croatian island isolates.

Authors:  Ivana Kolcić; Ariana Vorko-Jović; Branka Salzer; Mladen Smoljanović; Josipa Kern; Silvije Vuletić
Journal:  Croat Med J       Date:  2006-08       Impact factor: 1.351

5.  Metabolic syndrome and obesity in an insect.

Authors:  Rudolf J Schilder; James H Marden
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-28       Impact factor: 11.205

Review 6.  Metabolic syndrome and underlying genetic determinants-A systematic review.

Authors:  Sanjeev Rana; Shafat Ali; Hilal Ahmad Wani; Qazi Danish Mushtaq; Swarkar Sharma; Muneeb U Rehman
Journal:  J Diabetes Metab Disord       Date:  2022-03-03

7.  Cholesterol-fed rabbit as a unique model of nonalcoholic, nonobese, non-insulin-resistant fatty liver disease with characteristic fibrosis.

Authors:  Mosaburo Kainuma; Makoto Fujimoto; Nobuyasu Sekiya; Koichi Tsuneyama; Chunmei Cheng; Yasuo Takano; Katsutoshi Terasawa; Yutaka Shimada
Journal:  J Gastroenterol       Date:  2006-11-09       Impact factor: 6.772

8.  Peripheral and cognitive benefits of physical exercise in a mouse model of midlife metabolic syndrome.

Authors:  Farida El Gaamouch; Hsiao-Yun Lin; Qian Wang; Wei Zhao; Jiangping Pan; Kalena Liu; Jean Wong; Clark Wu; Chongzhen Yuan; Haoxiang Cheng; Weiping Qin; Ke Hao; Bin Zhang; Jun Wang
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.996

9.  Thermolabile methylenetetrahydrofolate reductase C677T polymorphism and homocysteine are risk factors for coronary artery disease in Moroccan population.

Authors:  Nawal Bennouar; Abdellatif Allami; Houssine Azeddoug; Abdenbi Bendris; Abdelilah Laraqui; Amal El Jaffali; Nizar El Kadiri; Rachid Benzidia; Anwar Benomar; Seddik Fellat; Mohamed Benomar
Journal:  J Biomed Biotechnol       Date:  2007-03-07
  9 in total

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