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Abdominal Obesity and the Metabolic Syndrome: Contribution to Global Cardiometabolic Risk
Abstract
There is currently substantial confusion between the conceptual definition of the metabolic syndrome and the clinical screening parameters and cut-off values proposed by various organizations (NCEP-ATP III, IDF, WHO, etc) to identify individuals with the metabolic syndrome. Although it is clear that in vivo insulin resistance is a key abnormality associated with an atherogenic, prothrombotic, and inflammatory profile which has been named by some the "metabolic syndrome" or by others "syndrome X" or "insulin resistance syndrome", it is more and more recognized that the most prevalent form of this constellation of metabolic abnormalities linked to insulin resistance is found in patients with abdominal obesity, especially with an excess of intra-abdominal or visceral adipose tissue. We have previously proposed that visceral obesity may represent a clinical intermediate phenotype reflecting the relative inability of subcutaneous adipose tissue to act as a protective metabolic sink for the clearance and storage of the extra energy derived from dietary triglycerides, leading to ectopic fat deposition in visceral adipose depots, skeletal muscle, liver, heart, etc. Thus, visceral obesity may partly be a marker of a dysmetabolic state and partly a cause of the metabolic syndrome. Although waist circumference is a better marker of abdominal fat accumulation than the body mass index, an elevated waistline alone is not sufficient to diagnose visceral obesity and we have proposed that an elevated fasting triglyceride concentration could represent, when waist circumference is increased, a simple clinical marker of excess visceral/ectopic fat. Finally, a clinical diagnosis of visceral obesity, insulin resistance, or of the metabolic syndrome is not sufficient to assess global risk of cardiovascular disease. To achieve this goal, physicians should first pay attention to the classical risk factors while also considering the additional risk resulting from the presence of abdominal obesity and the metabolic syndrome, such global risk being defined as cardiometabolic risk.
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“Excess intra-abdominal (i.e., visceral) adipose tissue may be a primary driver of the cardiometabolic complications of obesity (43)”
From The CardioMetabolic Health Alliance (2015) · cites this paper as [43]
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“A consequence of excessive fat combined with impaired clearance or storage of triglycerides in subcutaneous fat is ectopic fat deposition in skeletal muscle, liver, and myocardium, which may result in IR, nonalcoholic fatty liver disease, and pericardial fat.157,158”
From Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association (2011) · cites this paper as [157]
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“The elevations in triglyceride levels serve as a biomarker for visceral adiposity, IR, DM, and nonalcoholic hepatic steatosis (fatty liver).”
From Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association (2011) · cites this paper as [157]
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Insulin Resistance and Hypertension
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Dyslipidemia of central obesity and insulin resistance.
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Orchestration of Glucose Homeostasis
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Lemieux, I., Alméras, N., Mauriège, P., Blanchet, C., Dewailly, É., Bergeron, J., & Després, J. (2002) · PubMed · Cited by 100
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Adiposity and cardiovascular disease: are we using the right definition of obesity?
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Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583
Sugar-Sweetened Beverages and Risk of Metabolic Syndrome and Type 2 Diabetes
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Self-citationObesity Phenotypes, Diabetes, and Cardiovascular Diseases
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Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
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Metadata
- Authors
- Després, J.-P., Lemieux, I., Bergeron, J., Pibarot, P., Mathieu, P., Larose, E., Rodés-Cabau, J., Bertrand, O. F., & Poirier, P.
- Affiliations
- From the Hôpital Laval Research Centre (J.-P.D., I.L., P. Pibarot, P.M., E.L., J.R.-C., O.F.B., P. Poirier); the Institut universitaire de cardiologie et de pneumologie (J.-P.D., P.M., E.L., J.R.-C., O.F.B., P. Poirier), Hôpital Laval; the Division of Kinesiology (J.-P.D.), Department of Social and Preventive Medicine, Université Laval; the Lipid Research Centre (J.B.), CHUQ Research Centre; the Department of Medicine (P. Pibarot), Université Laval; the Department of Surgery (P.M.), Université...
- Université Laval (CA)
- Venue
- Arteriosclerosis Thrombosis and Vascular Biology
- Published
- 2008-06
- Volume
- 28
- Issue
- 6
- Pages
- 1039-1049
- ISSN
- 1079-5642 (ISSN-L)
- 1524-4636
- OpenAlex
- W2106690226
- Cited by
- 1,589
- References
- 129
- Citations by year
- 2026: 39 · 2025: 52 · 2024: 63 · 2023: 71 · 2022: 120 · 2021: 92 · 2020: 86 · 2019: 74 · 2018: 91 · 2017: 86 · 2016: 91 · 2015: 108 · 2014: 115 · 2013: 101 · 2012: 97
- FWCI
- 12.68
- Type
- journal article
- Language
- en
- Update notices
- correction (2008-07-01)
- Open access
- closed
- Locations
- Arteriosclerosis Thrombosis and Vascular Biology (publishedVersion)
- PubMed (publishedVersion)
- Corpus Université Laval (Université Laval) (submittedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- abdominal obesity, metabolic syndrome, visceral adipose tissue, insulin resistance, cardiometabolic risk, waist circumference, fasting triglycerides, ectopic fat deposition, cardiovascular risk, diagnostic thresholds
- MeSH terms
- Cardiovascular Diseases, Humans, Insulin Resistance, Obesity, Risk Factors, Triglycerides, Metabolic Syndrome, Intra-Abdominal Fat
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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