Literature DB >> 16448987

How to best define the metabolic syndrome.

Dianna J Magliano1, Jonathan E Shaw, Paul Z Zimmet.   

Abstract

The constellation of metabolic abnormalities including centrally distributed obesity, decreased high-density lipoprotein cholesterol (HDL-C), elevated triglycerides, elevated blood pressure (BP), and hyperglycaemia is known as the metabolic syndrome. Associated with increased risk of both type 2 diabetes and cardiovascular disease (CVD), the metabolic syndrome is thought to be a driver of the modern day epidemics of diabetes and CVD and has become a major public health challenge around the world 1. Since its initial description, several definitions of the syndrome have emerged. Each of these definitions used differing sets of criteria, the combination of which either reflected contrasting views on pathogenic mechanisms or clinical usefulness. The use of these definitions to conduct research into the metabolic syndrome in diverse populations resulted in wide ranging prevalence rates, inconsistencies and confusion, and spurred on the vigorous debate regarding how the metabolic syndrome should be defined. In response to this controversy, the International Diabetes Federation (IDF) has recently proposed a new definition, which is applicable to populations around the world 12. It is envisaged that the development of the new definition for the metabolic syndrome will help resolve the confusion caused by the number of earlier attempts to define this important entity.

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Year:  2006        PMID: 16448987     DOI: 10.1080/07853890500300311

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  28 in total

1.  Role of metabolic syndrome components in human immunodeficiency virus-associated stroke.

Authors:  Beau M Ances; Archana Bhatt; Florin Vaida; Debralee Rosario; Terry Alexander; Jennifer Marquie-Beck; Ronald J Ellis; Scott Letendre; Igor Grant; J Allen McCutchan
Journal:  J Neurovirol       Date:  2009-05       Impact factor: 2.643

2.  Associations between metabolic syndrome, breast cancer recurrence, and the 21-gene recurrence score assay.

Authors:  Jeanette Muniz; Kelley M Kidwell; N Lynn Henry
Journal:  Breast Cancer Res Treat       Date:  2016-06-06       Impact factor: 4.872

3.  Changes in Plasma Protein Expression Indicative of Early Diet-induced Metabolic Disease in Male Pigs (Sus scrofa).

Authors:  Marinus Fw Te Pas; Sietse-Jan Koopmans; Leo Kruijt; Sjef Boeren; Mari A Smits
Journal:  Comp Med       Date:  2018-07-31       Impact factor: 0.982

4.  Cardiovascular risk factors in adult survivors of pediatric cancer--a report from the childhood cancer survivor study.

Authors:  Lillian R Meacham; Eric J Chow; Kirsten K Ness; Kala Y Kamdar; Yan Chen; Yutaka Yasui; Kevin C Oeffinger; Charles A Sklar; Leslie L Robison; Ann C Mertens
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-01       Impact factor: 4.254

5.  DNA methylation as a biomarker for cardiovascular disease risk.

Authors:  Myungjin Kim; Tiffany I Long; Kazuko Arakawa; Renwei Wang; Mimi C Yu; Peter W Laird
Journal:  PLoS One       Date:  2010-03-15       Impact factor: 3.240

6.  Gene expression profiling of skeletal muscle in exercise-trained and sedentary rats with inborn high and low VO2max.

Authors:  Anja Bye; Morten A Høydal; Daniele Catalucci; Mette Langaas; Ole Johan Kemi; Vidar Beisvag; Lauren G Koch; Steven L Britton; Øyvind Ellingsen; Ulrik Wisløff
Journal:  Physiol Genomics       Date:  2008-09-09       Impact factor: 3.107

7.  Endothelial dysfunction caused by circulating microparticles from patients with metabolic syndrome.

Authors:  Abdelali Agouni; Anne Hélène Lagrue-Lak-Hal; Pierre Henri Ducluzeau; Hadj Ahmed Mostefai; Catherine Draunet-Busson; Georges Leftheriotis; Christophe Heymes; Maria Carmen Martinez; Ramaroson Andriantsitohaina
Journal:  Am J Pathol       Date:  2008-09-04       Impact factor: 4.307

8.  Mitochondrial oxidative stress corrupts coronary collateral growth by activating adenosine monophosphate activated kinase-α signaling.

Authors:  Yuh Fen Pung; Wai Johnn Sam; Kelly Stevanov; Molly Enrick; Chwen-Lih Chen; Christopher Kolz; Prashanth Thakker; James P Hardwick; Yeong-Renn Chen; Jason R B Dyck; Liya Yin; William M Chilian
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-06-20       Impact factor: 8.311

9.  Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates.

Authors:  Prasad Katulanda; Priyanga Ranasinghe; Ranil Jayawardana; Rezvi Sheriff; David R Matthews
Journal:  Diabetol Metab Syndr       Date:  2012-05-31       Impact factor: 3.320

10.  Usefulness of glycated hemoglobin as diagnostic criteria for metabolic syndrome.

Authors:  Sang Hyun Park; Ji Sung Yoon; Kyu Chang Won; Hyoung Woo Lee
Journal:  J Korean Med Sci       Date:  2012-08-22       Impact factor: 2.153

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