Literature DB >> 17932584

Hypertriglyceridemic waist: a useful screening phenotype in preventive cardiology?

Isabelle Lemieux1, Paul Poirier, Jean Bergeron, Natalie Alméras, Benoît Lamarche, Bernard Cantin, Gilles R Dagenais, Jean-Pierre Després.   

Abstract

The worldwide increase in the prevalence and incidence of type 2 diabetes represents a tremendous challenge for the Canadian health care system, especially if we consider that this phenomenon may largely be explained by the epidemic of obesity. However, despite the well-recognized increased morbidity and mortality associated with an elevated body weight, there is now more and more evidence highlighting the importance of intra-abdominal adipose tissue (visceral adipose tissue) as the fat depot conveying the greatest risk of metabolic complications. In this regard, body fat distribution, especially visceral adipose tissue accumulation, has been found to be a key correlate of a cluster of diabetogenic, atherogenic, prothrombotic and inflammatory metabolic abnormalities now often referred to as the metabolic syndrome. This dysmetabolic profile is predictive of a substantially increased risk of coronary artery disease (CAD) even in the absence of hyperglycemia, elevated low-density lipoprotein cholesterol or hypertension. For instance, some features of the metabolic syndrome (hyperinsulinemia, elevated apolipoprotein B and small low-density lipoprotein particles--the so-called atherogenic metabolic triad) have been associated with a more than 20-fold increase in the risk of ischemic heart disease in middle-aged men enrolled in the Quebec Cardiovascular Study. This cluster of metabolic complications has also been found to be predictive of a substantially increased risk of CAD beyond the presence of traditional risk factors. These results emphasize the importance of taking into account in daily clinical practice the presence of metabolic complications associated with abdominal obesity together with traditional risk factors to properly evaluate the cardiovascular risk profile of patients. From a risk assessment standpoint, on the basis of additional work conducted by several groups, there is now evidence that the simultaneous presence of an elevated waist circumference and fasting triglyceride levels (a condition that has been described as hypertriglyceridemic waist) may represent a relevant first-step approach to identify a subgroup of individuals at higher risk of being carriers of the features of the metabolic syndrome. Moreover, a moderate weight loss in initially abdominally obese patients is associated with a selective mobilization of visceral adipose tissue, leading to improvements in the metabolic risk profile predictive of a reduced risk of CAD and type 2 diabetes. In conclusion, hypertriglyceridemic waist as a marker of visceral obesity and related metabolic abnormalities is a useful and practical clinical phenotype to screen persons at risk for CAD and type 2 diabetes.

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Year:  2007        PMID: 17932584      PMCID: PMC2794461          DOI: 10.1016/s0828-282x(07)71007-3

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  62 in total

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Review 2.  Measurement and meaning of apolipoprotein AI and apolipoprotein B plasma levels.

Authors:  S Marcovina; C J Packard
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3.  Visceral adiposity and risk of type 2 diabetes: a prospective study among Japanese Americans.

Authors:  E J Boyko; W Y Fujimoto; D L Leonetti; L Newell-Morris
Journal:  Diabetes Care       Date:  2000-04       Impact factor: 19.112

4.  Total cholesterol/HDL cholesterol ratio vs LDL cholesterol/HDL cholesterol ratio as indices of ischemic heart disease risk in men: the Quebec Cardiovascular Study.

Authors:  I Lemieux; B Lamarche; C Couillard; A Pascot; B Cantin; J Bergeron; G R Dagenais; J P Després
Journal:  Arch Intern Med       Date:  2001 Dec 10-24

5.  Visceral fat is an independent predictor of all-cause mortality in men.

Authors:  Jennifer L Kuk; Peter T Katzmarzyk; Milton Z Nichaman; Timothy S Church; Steven N Blair; Robert Ross
Journal:  Obesity (Silver Spring)       Date:  2006-02       Impact factor: 5.002

6.  Treatment of obesity: need to focus on high risk abdominally obese patients.

Authors:  J P Després; I Lemieux; D Prud'homme
Journal:  BMJ       Date:  2001-03-24

7.  Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men?

Authors:  I Lemieux; A Pascot; C Couillard; B Lamarche; A Tchernof; N Alméras; J Bergeron; D Gaudet; G Tremblay; D Prud'homme; A Nadeau; J P Després
Journal:  Circulation       Date:  2000-07-11       Impact factor: 29.690

8.  Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance.

Authors:  J Tuomilehto; J Lindström; J G Eriksson; T T Valle; H Hämäläinen; P Ilanne-Parikka; S Keinänen-Kiukaanniemi; M Laakso; A Louheranta; M Rastas; V Salminen; M Uusitupa
Journal:  N Engl J Med       Date:  2001-05-03       Impact factor: 91.245

9.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.

Authors:  William C Knowler; Elizabeth Barrett-Connor; Sarah E Fowler; Richard F Hamman; John M Lachin; Elizabeth A Walker; David M Nathan
Journal:  N Engl J Med       Date:  2002-02-07       Impact factor: 91.245

10.  Abdominal adiposity and insulin resistance in obese men.

Authors:  Robert Ross; James Aru; Jennifer Freeman; Robert Hudson; Ian Janssen
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-03       Impact factor: 4.310

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  62 in total

1.  The hypertriglyceridemic-waist phenotype and the risk of coronary artery disease: results from the EPIC-Norfolk prospective population study.

Authors:  Benoit J Arsenault; Isabelle Lemieux; Jean-Pierre Després; Nicholas J Wareham; John J P Kastelein; Kay-Tee Khaw; S Matthijs Boekholdt
Journal:  CMAJ       Date:  2010-07-19       Impact factor: 8.262

2.  Prothrombotic markers in asymptomatic dyslipidemic subjects.

Authors:  David Karasek; Helena Vaverkova; Milan Halenka; Dagmar Jackuliakova; Zdenek Frysak; Ludek Slavik; Dalibor Novotny
Journal:  J Thromb Thrombolysis       Date:  2011-01       Impact factor: 2.300

Review 3.  New targets to treat obesity and the metabolic syndrome.

Authors:  Kathleen A Martin; Mitra V Mani; Arya Mani
Journal:  Eur J Pharmacol       Date:  2015-05-19       Impact factor: 4.432

4.  Cardiometabolic Risk in South Asian Inhabitants of California: Hypertriglyceridemic Waist vs Hypertriglyceridemic Body Mass Index.

Authors:  Fahim Abbasi; Ashish Mathur; Gerald M Reaven; César R Molina
Journal:  Ethn Dis       Date:  2016-04-21       Impact factor: 1.847

Review 5. 

Authors:  N John Bosomworth
Journal:  Can Fam Physician       Date:  2019-06       Impact factor: 3.275

Review 6.  Genetic determinants of cardiometabolic risk: a proposed model for phenotype association and interaction.

Authors:  Piers R Blackett; Dharambir K Sanghera
Journal:  J Clin Lipidol       Date:  2012-04-22       Impact factor: 4.766

Review 7.  What about non-alcoholic fatty liver disease as a new criterion to define metabolic syndrome?

Authors:  Giovanni Tarantino; Carmine Finelli
Journal:  World J Gastroenterol       Date:  2013-06-14       Impact factor: 5.742

8.  The lipid accumulation product for the early prediction of gestational insulin resistance and glucose dysregulation.

Authors:  Diane Brisson; Patrice Perron; Henry S Kahn; Daniel Gaudet; Luigi Bouchard
Journal:  J Womens Health (Larchmt)       Date:  2013-04       Impact factor: 2.681

Review 9.  Abdominal obesity: the cholesterol of the 21st century?

Authors:  Jean-Pierre Després; Benoit J Arsenault; Mélanie Côté; Amélie Cartier; Isabelle Lemieux
Journal:  Can J Cardiol       Date:  2008-09       Impact factor: 5.223

10.  Effects of continuous versus intermittent exercise, obesity, and gender on growth hormone secretion.

Authors:  Arthur Weltman; Judy Y Weltman; Dee Dee Watson Winfield; Kirsten Frick; James Patrie; Petra Kok; Daniel M Keenan; Glenn A Gaesser; Johannes D Veldhuis
Journal:  J Clin Endocrinol Metab       Date:  2008-09-09       Impact factor: 5.958

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