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Copyright © 2008 American Heart Association. All rights reserved. Print ISSN: 1079-5642. Online
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Arteriosclerosis, Thrombosis, and Vascular Biology is published by the American Heart Association.
DOI: 10.1161/ATVBAHA.107.159228
20, 2008;
2008;28;1039-1049; originally published online MarArterioscler Thromb Vasc Biol
Mathieu, Eric Larose, Josep Rodés-Cabau, Olivier F. Bertrand and Paul Poirier
Jean-Pierre Després, Isabelle Lemieux, Jean Bergeron, Philippe Pibarot, Patrick
Cardiometabolic Risk
Abdominal Obesity and the Metabolic Syndrome: Contribution to Global
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ATVB In Focus
Metabolic Syndrome and Atherosclerosis
Series Editor: Marja-Riitta Taskinen
Preview Brief Reviews in this Series:
• Grundy, SM. Metabolic syndrome pandemic. Arteroscler Thromb Vasc Biol. 2008;28:629–636.
• Barter PJ, Rye KA. Is there a role for fibrates in the management of dyslipidemia in the metabolic syndrome.
Arteroscler Thromb Vasc Biol. 2008;28:39–46.
• Kotronen A, Yki-Ja¨rvinen. Fatty liver: a novel component of the metabolic syndrome. Arteroscler Thromb Vasc
Biol. 2008;28:27–38.
• Gustafson B, Hammarstedt A, Andersson CX, and Smith U. Inflamed adipose tissue: a culprit underlying the meta-
bolic syndrome and atherosclerosis. Arteroscler Thromb Vasc Biol. 2007;27:2276–2283.
Abdominal Obesity and the Metabolic Syndrome:
Contribution to Global Cardiometabolic Risk
Jean-Pierre Despre´s, Isabelle Lemieux, Jean Bergeron, Philippe Pibarot, Patrick Mathieu, Eric Larose,
Josep Rode´s-Cabau, Olivier F. Bertrand, Paul Poirier
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. (Arterioscler Thromb Vasc Biol 2008;28:1039-1049)
Key Words: global cardiometabolic risk � insulin resistance � metabolic syndrome � visceral obesity
� waist circumference
Original received November 13, 2007; final version accepted March 6, 2008.
From the Hoˆpital 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), Hoˆpital Laval; the Division of Kinesiology (J.-P.D.), Department of Social and Preventive
Medicine, Universite´ Laval; the Lipid Research Centre (J.B.), CHUQ Research Centre; the Department of Medicine (P. Pibarot), Universite´ Laval; the
Department of Surgery (P.M.), Universite´ Laval; the Faculty of Pharmacy (P. Poirier), Universite´ Laval, Québec City, QC, Canada.
Correspondence to Jean-Pierre Despre´s, PhD, FAHA, Scientific Director, International Chair on Cardiometabolic Risk, Director of Research,
Cardiology, Hoˆpital Laval Research Centre, 2725 chemin Ste-Foy, Pavilion Marguerite-D’Youville, 4th Floor, Québec City, QC, G1V 4G5, CANADA.
E-mail jean-pierre.despres@crhl.ulaval.ca
© 2008 American Heart Association, Inc.
Arterioscler Thromb Vasc Biol is available at http://atvb.ahajournals.org DOI: 10.1161/ATVBAHA.107.159228
1039
by on April 9, 2011 atvb.ahajournals.orgDownloaded from
The Pioneer
In his seminal 1988 Banting award lecture, Reaven1 proposed
that insulin resistance was a fundamental “disorder” associ-
ated with a set of metabolic abnormalities which not only
increased the risk of type 2 diabetes but also contributed to
the development of cardiovascular disease (CVD) before the
appearance of hyperglycemia. Reaven coined the term “syn-
drome X” to describe the clustering abnormalities associated
with insulin resistance but since another syndrome X had
been documented in cardiology,2 the term insulin resistance
syndrome became more frequently used to describe what
should have been legitimately called the Reaven syndrome. It
is also relevant to mention that as Reaven found insulin
resistant individuals who were not obese, he did not include
obesity as a feature of the insulin resistance syndrome.
Since the introduction of the syndrome X concept, a
plethora of studies3–7 have shown that insulin resistance
assessed by various methods is indeed a key factor associated
with clustering atherogenic abnormalities which include a
typical atherogenic dyslipidemic state (high triglyceride and
apolipoprotein B concentrations, an increased proportion of
small dense LDL particles and a reduced concentration of
HDL-cholesterol, HDL particles also being smaller in size), a
prothrombotic profile, and a state of inflammation (Figure 1).
Furthermore, insulin resistance could also contribute to an
elevated blood pressure8–11 and to dysglycemia,6,12–14 even-
tually leading, among genetically susceptible individuals, to
systemic hypertension and type 2 diabetes.
It is not the scope of this short review to deal with the
question of whether or not it is insulin resistance or visceral
obesity/ectopic fat which is the key primary culprit for the
metabolic syndrome. Rather, the present article will propose
that it is the mismanagement of energy under conditions of
positive energy balance which leads to visceral/ectopic fat-
insulin resistance and to features of the metabolic syndrome.
From Pathophysiology to Clinical Assessment
As most physicians cannot measure indices of insulin sensi-
tivity in the context of their clinical practice, some organiza-
tions such as the World Health Organization (WHO),15 the
National Cholesterol Education Program-Adult Treatment
Panel III (NCEP-ATP III),16,17 the European Group for the
study of Insulin Resistance (EGIR),18 the American Associ-
ation of Clinical Endocrinologists (AACE),19 and more re-
cently the International Diabetes Federation (IDF)20 have
proposed to use simple clinical parameters with cut-off values
to find individuals who would probably be insulin resistant
and who would also show the atherogenic and diabetogenic
abnormalities related to an impaired insulin action: the
“metabolic syndrome” was born. However, it should be
pointed out that there is no direct marker of insulin resista-
nce in the NCEP-ATP III or IDF clinical criteria to diagnose
the metabolic syndrome. Although patients diagnosed with
the metabolic syndrome are likely to be more insulin resis-
tant, there may be some discrepancies in the prevalence of
insulin resistance depending on the metabolic syndrome
clinical criteria used.
Genetic and
environmental
determinants
• Energy dense diet
• Genetic variation
• Age and Gender
• Lack of physical activity
• Smoking
Impaired
fibrinolysisInflammation
Atherogenic
dyslipidemia
↑↑ Blood
pressure Dysglycemia
• Stress
• Neuroendocrine abnormalities
• Steroid hormones
• Susceptible endocannabinoid system
• Drugs
Based on key pathophysiological markers
• Syndrome X (Reaven)
• Insulin resistance
syndrome ⇒
Based on clinical tools:• Metabolic syndrome
(NCEP-ATP III or IDF)
⇒
• HDL-cholesterol
• Glucose
• Waist girth
• Triglycerides
• Blood pressure
A
B
C
Visceral
obesity/
Ectopic fat
Adipokines
Insulin
resistance/
↑ Insulin
Figure 1. Simplified model illustrating the possible correlates (A) of insulin resistance often found among individuals with excess viscer-
al/ectopic fat. Panel B emphasizes the notion that the syndrome X/insulin resistance syndrome concept was based on pathophysiologi-
cal considerations, whereas panel C highlights the fact that National Cholesterol Education Program-Adult Treatment Panel III (NCEP-
ATP III) and International Diabetes Federation (IDF) metabolic syndrome is an entity identified in clinical practice by the presence of
simple screening tools.
1040 Arterioscler Thromb Vasc Biol June 2008
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With the use of these simple criteria, investigators found
that a clinical diagnosis of the metabolic syndrome (either by
NCEP-ATP III or IDF criteria) was associated with an
increased relative risk of CVD.21–31 However, the fact that the
5 variables proposed in NCEP-ATP III and IDF are not used
as continuous variables in a proper risk calculator but rather
counted as “present” or “absent” likely makes these screening
tools less than perfect for the optimal diagnosis of the
metabolic syndrome (“presence” or “absence” of an abnor-
mality may be too crude to assess an individual risk profile or
response to therapy). Furthermore, there is a mosaic of
combinations of 3 of the 5 criteria which makes it very
unlikely that all these subgroups are similar entities from a
pathophysiological standpoint and clinical prognosis.32 One
classic example of this problem is the case of type 2 diabetic
patients who are hyperglycemic (by definition as they have
diabetes) and who are also most often obese and hyperten-
sive. Because they have 3 criteria, these patients with type 2
diabetes are diagnosed as having the metabolic syndrome.
However, these patients with diabetes are likely to be meta-
bolically quite distinct from nondiabetic but high triglyceride,
low HDL-cholesterol dyslipidemic abdominally obese pa-
tients.33 Under the current metabolic syndrome diagnosis
tools, they are considered as a homogeneous entity, which is
very unlikely. For instance, it is clear that an elevated fasting
blood glucose concentration, which is often referred to as a
“prediabetic” state, is more useful to predict type 2 diabetes
risk than the other markers of the metabolic syndrome.28,34,35
Additional work is needed to clarify this issue and a global
metabolic syndrome calculator with variables treated as
continuous variables would help address this problem. Inves-
tigators have therefore raised the issue that better tools are
needed to assess the clustering abnormalities of the metabolic
syndrome and the severity of this condition and that only new
metabolic syndrome calculators providing a continuous score
will be able to address this question.36
Metabolic Syndrome: Putting Abdominal
Obesity on the Front Line
One key conceptual advance made, however, with the intro-
duction of the metabolic syndrome as a clinically measurable
(although imperfect) entity was the recognition of abdominal
obesity as its most prevalent form,16,20,37,38 a notion still
debated by Reaven nowadays.39,40 For instance, NCEP-ATP
III made an index of abdominal adiposity (assessed by waist
circumference) and not obesity (assessed by the body mass
index [BMI]) as 1 of 5 criteria on which clinicians could
diagnose the syndrome, the presence of 3 of the 5 criteria
being required. However, the relationship of waist circumfer-
ence to abdominal adiposity, especially visceral or intra-
abdominal (the terms can be used interchangeably) obesity,
is age- and gender- as well as ethnicity-dependent,41– 44 and
these issues were not properly addressed in the initial NCEP-
ATP III guidelines. For instance, waist circumferences of 102
cm and 88 cm were average values corresponding to a BMI
of 30 kg/m2 in men and women, respectively.45 There is
clearly a continuous relationship between waist circumfer-
ence and clinical outcomes, and these cut-off values are
currently difficult to justify, especially if we consider that
women have, on average, more subcutaneous fat and less
visceral fat than men.46,47 However, menopause is associated
with a selective deposition of visceral fat, a phenomenon
which again makes the single 88-cm value questionable.48–50
Regarding ethnicity, the IDF has recognized this problem and
proposed to lower the waist circumference (which is a
mandatory criterion in IDF) cut-offs for some ethnic groups.20
However, the ethnic-specific waist cut-off values that they
proposed were not always validated against direct imaging
data of visceral fat and clinical outcomes, and further work is
needed to define what is high-risk abdominal obesity in
various populations of the world.
Abdominal Obesity and the Metabolic
Syndrome: Too Much Visceral Adipose Tissue
or a Marker of Ectopic Fat?
There is substantial evidence supporting the notion that too
much abdominal fat is predictive of insulin resistance and of
the presence of related metabolic abnormalities commonly
referred to as the metabolic syndrome.51–63 Despite the fact
that abdominal obesity is a highly prevalent feature of the
metabolic syndrome, the mechanisms by which abdominal
obesity is causally related to the metabolic syndrome are not
fully understood. Imaging studies using measurements of
abdominal adiposity (MRI and computed tomography) have
generally reached the conclusion that it is the excess of
intraabdominal or visceral adipose tissue and not the amount
of subcutaneous abdominal fat which is the key correlate of
the metabolic abnormalities observed in overweight/obese
patients.3,51,54,56,57,64–68 For instance, individuals perfectly
matched for subcutaneous abdominal adiposity but with
either a low versus a high accumulation of visceral adipose
tissue have been shown to be markedly different in their
levels of insulin resistance and glucose tolerance.51,54,56,57,69
However, after being matched for visceral adiposity, individ-
uals with low or high levels of subcutaneous fat were not
found to differ in insulin sensitivity.56,57 This finding provides
evidence that despite the fact that numerous studies have
shown that weight, BMI, subcutaneous fat, and visceral fat
are all well correlated with insulin resistance and with
alterations in indices of plasma glucose-insulin homeostasis,
it is the subgroup of overweight/obese patients with an excess
of visceral fat that shows the most severe insulin resistant
state. However, we have to keep in mind that subcutaneous
fat is not neutral although it may represent a “metabolic sink”.
Evidence suggests that if hyperplasia goes on in expanding
adipose tissue, patients may not develop features of the
metabolic syndrome, whereas, if it becomes hypertrophic in
response to positive energy balance with a limited ability to
expand, then it may become insulin resistant and also con-
tribute to the dysmetabolic state.70–73
However, these findings do not provide experimental
evidence that visceral adiposity is causally related to insulin
resistance. In a review article from our group37 3 scenarios
have been proposed to explain the relation of visceral
adiposity to the metabolic syndrome (Figure 2): (1) The
hyperlipolytic state of the omental adipose tissue, which
shows resistance to the action of insulin, contributes to
expose (through the portal circulation) the liver to high
Despre´s et al From Metabolic Syndrome to Global Cardiometabolic Risk 1041
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concentrations of free fatty acids, impairing several hepatic
metabolic processes leading to hyperinsulinemia (decreased
insulin clearance), glucose intolerance (increased hepatic
glucose production), and hypertriglyceridemia (increased
VLDL-apolipoprotein B secretion); (2) The adipose tissue is
a remarkable endocrine organ which is a source of adipokines
like adiponectin and inflammatory cytokines such as inter-
leukin (IL)-6 (IL-6) and tumor necrosis factor (TNF)-� (to
only name a few) which contribute to the insulin resistant,
proinflammatory, -thrombotic, and -hypertensive state of
visceral obesity; (3) Excess visceral adiposity is only (or
partly) a marker of the relative inability of subcutaneous
adipose tissue to act as a protective metabolic sink because of
its inability to expand (lipodystrophy) or because it has
become hypertrophied, dysfunctional and insulin resistant.
Under this third scenario, sedentary individuals who cannot
store their energy surplus in the subcutaneous adipose tissue
would be characterized by accumulation of fat at undesired
sites such as the liver, the heart, the skeletal muscle, and the
pancreas.
However, a more plausible explanation for the metabolic
abnormalities of abdominal obesity is that all the above
mechanisms are involved. An additional possibility is that a
more primary neuroendocrine profile may channel excess
energy both preferentially in the visceral depot and at
undesired sites leading to visceral obesity, ectopic fat depo-
sition, insulin resistance, and metabolic abnormalities.74 In
this regard, the remarkable change in both body fat distribu-
tion and metabolic profile of transsexual patients on hor-
monal therapy75,76 provides spectacular evidence that a cer-
tain neuroendocrine profile may represent a primary
abnormality leading to the development of ectopic fat and the
metabolic syndrome.
Metabolic Syndrome Does Not Assess
Global CVD Risk: The Notion of
Cardiometabolic Risk
One key criticism addressed to the metabolic syndrome is that
although numerous studies have shown that its presence is
associated with an approximately 2-fold increase in CVD
risk,21,22 such an increase in relative risk cannot evaluate
absolute risk. Furthermore, reported relative CVD risks
associated with the metabolic syndrome have not always
taken into account confounding variables which makes the
study comparisons rather difficult. For that purpose, the
American Diabetes Association (ADA) and the European
Association for the Study of Diabetes (EASD) as well as the
International Chair on Cardiometabolic Risk have empha-
sized the critical impor
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