8
 1 International Diabetes Monitor Volume 18, Number 5, 2006 Abstract The metabolic syndrome is a cluster of meta- bolic abnormalities associated with increased risk for cardiovascular disease and type 2 diabe tes.The most commo nly used criteri a to define the metabolic syndrome include the pres- ence of abdominal obesity, high blood pressure, elevated fasting plasma glucose and dyslipidemia (high triglyceride and/or decreased HDL choles- tero l). Ther e is great varia tion in the prevale nce of the metabolic syndrome worldwide, with increasing trends related to the epidemic of obe- sity in most countries. Insulin resistance and a state of chronic inflammation are also underlying factors contributing to this syndrome. C-reactive protein is an emerging biomarker that may be usefu l for risk strat ifica tion . The presence of the metabolic syndrome identifies those with higher long-term cardiovascular risk and thus calls for intensified lifestyle therapy — weight loss, increased physical activity and antiatherogenic diet. In some patients, pharmacologic interven- tions may be indicated for the management of specific components of this syndrome, mostly depending upon the severity of the abnormality. Further studies are needed to define treatment algorithms for patients diagnosed with the meta- bolic syndrome based on a particular combina- tion of its components. Key words: Metabolic syndrome, cardiovascular disease, diabetes, insulin resistance, obesity, inflammation, mortality Historical background to definition of the metabolic syndrome Investigators in the late 1980s, studying the rela- tionships between dyslipidemia, obesity, insulin resistance, gluco se intol eranc e and the proco agu- lant state, independently recognized that these factors were associated with one another as well as with cardiovascular disease (CVD) [1–5].This cluster of CVD risk factors began to be referred to as a syndrome using several different names: the metabolic syndrome [6–8], the insulin resis- tance syndro me [9], or syndro me X [3] . As evi- dence accumulated to indicate that these risk factors played an important role in the develop- ment of CVD, the need to enhance awareness of them among health professionals increased. Accordingly the term ‘metabolic syndrome’ was formal ly adopted first by the W orld Health Orga- nization (WHO) in 1999 [10] and soon after by the National Cholesterol Education Program (NCEP)/Adult Treatment Panel III (ATP III) in 2001 [11] and then by others to describe a clus- ter of metabolic factors associated with increased risk of type 2 diabetes and CVD [12, 13]. Diagnostic criteria The most commonly used diagnostic criteria hav e been those of the WHO defini tion [10 ] and the NCEP/ATP III definition [11], which was updated in 2005 [13]. Recently the International Diabetes Federation (IDF) published its defini- tion of the metabolic syndrome (Table I ) [14]. The latter two definitions are the more easily applicable tools to assess the metabolic syndrome in clinical practice. It has been speculated that the predictive value of the NCEP and WHO defini tions may depend on the prevalence of the core metabolic compo- nents (dyslipidemia, hypertension, obesity and glycemia) in the population under investigation [15].Thus the usefulness of the NCEP vs.WHO criteria with a differing emphasis on the compo- nents of the metabolic syndrome may vary according to the background population to which they are being applied. Prevalence esti- mates for the NCEP/ATP III definition of the REVIEW ARTICLES Metabolic syndrome revisited Hermes Florez 1,2,3 and Ron Goldberg 1 1 University of Miami Miller School of Medicine;  2 Miami Veterans’ Affairs Medical, Miami, FL, USA; 3 University of Zulia School of Medicine, Maracaibo, Venezuela ([email protected]; [email protected] mi.edu)

Metabolic Syndrome

Embed Size (px)

Citation preview

  • 1International Diabetes MonitorVolume 18, Number 5, 2006

    Abstract

    The metabolic syndrome is a cluster of meta-bolic abnormalities associated with increasedrisk for cardiovascular disease and type 2diabetes.The most commonly used criteria todefine the metabolic syndrome include the pres-ence of abdominal obesity, high blood pressure,elevated fasting plasma glucose and dyslipidemia(high triglyceride and/or decreased HDL choles-terol).There is great variation in the prevalenceof the metabolic syndrome worldwide, withincreasing trends related to the epidemic of obe-sity in most countries. Insulin resistance and astate of chronic inflammation are also underlyingfactors contributing to this syndrome. C-reactiveprotein is an emerging biomarker that may beuseful for risk stratification.The presence of themetabolic syndrome identifies those with higherlong-term cardiovascular risk and thus calls forintensified lifestyle therapy weight loss,increased physical activity and antiatherogenicdiet. In some patients, pharmacologic interven-tions may be indicated for the management ofspecific components of this syndrome, mostlydepending upon the severity of the abnormality.Further studies are needed to define treatmentalgorithms for patients diagnosed with the meta-bolic syndrome based on a particular combina-tion of its components.

    Key words:Metabolic syndrome, cardiovascular disease, diabetes,insulin resistance, obesity, inflammation, mortality

    Historical background to definition of themetabolic syndrome

    Investigators in the late 1980s, studying the rela-tionships between dyslipidemia, obesity, insulinresistance, glucose intolerance and the procoagu-lant state, independently recognized that these

    factors were associated with one another as wellas with cardiovascular disease (CVD) [15].Thiscluster of CVD risk factors began to be referredto as a syndrome using several different names:the metabolic syndrome [68], the insulin resis-tance syndrome [9], or syndrome X [3]. As evi-dence accumulated to indicate that these riskfactors played an important role in the develop-ment of CVD, the need to enhance awareness ofthem among health professionals increased.Accordingly the term metabolic syndrome wasformally adopted first by theWorld Health Orga-nization (WHO) in 1999 [10] and soon after bythe National Cholesterol Education Program(NCEP)/AdultTreatment Panel III (ATP III) in2001 [11] and then by others to describe a clus-ter of metabolic factors associated with increasedrisk of type 2 diabetes and CVD [12, 13].

    Diagnostic criteria

    The most commonly used diagnostic criteriahave been those of theWHO definition [10] andthe NCEP/ATP III definition [11], which wasupdated in 2005 [13]. Recently the InternationalDiabetes Federation (IDF) published its defini-tion of the metabolic syndrome (Table I) [14].The latter two definitions are the more easilyapplicable tools to assess the metabolic syndromein clinical practice.It has been speculated that the predictive value

    of the NCEP andWHO definitions may dependon the prevalence of the core metabolic compo-nents (dyslipidemia, hypertension, obesity andglycemia) in the population under investigation[15].Thus the usefulness of the NCEP vs.WHOcriteria with a differing emphasis on the compo-nents of the metabolic syndrome may varyaccording to the background population towhich they are being applied. Prevalence esti-mates for the NCEP/ATP III definition of the

    REVIEW ARTICLES

    Metabolic syndrome revisitedHermes Florez1,2,3 and Ron Goldberg1

    1University of Miami Miller School of Medicine;2Miami Veterans Affairs Medical, Miami, FL, USA;

    3University of Zulia School of Medicine, Maracaibo, Venezuela([email protected]; [email protected])

  • metabolic syndrome have been reported for sev-eral countries (Fig. 1) [1631].These differ withrespect to the sample selection, the year in whichthey were conducted, the precise definition used,and the age and sex structure of the population.There is a wide variation of prevalence by genderand race/ethnicity [22].Two more criteria sets for the diagnosis of the

    metabolic syndrome have been suggested by theAmerican Association of Clinical Endocrinolo-gists [32] and by the European Group for theStudy of Insulin Resistance [33].The key differ-ences from the NCEP and IDF criteria are thatboth of these criteria sets are totally foundedon insulin resistance and exclude patientswith diabetes.The IDF clinical definition requires abdomi-

    nal obesity for metabolic syndrome diagnosis, asa good surrogate for the more cumbersome mea-surement of insulin resistance and to reduce theamount of laboratory testing necessary for iden-tification.When abdominal obesity is present,two additional factors originally listed in theNCEP definition and now somewhat modifiedare sufficient for diagnosis.The IDF emphasizedthe presence of ethnic and national differences inthe abdominal obesity threshold [14, 34]. Recentanalyses in the US population (19992002)showed that the IDF definition leads to a higherprevalence estimate of the metabolic syndrome(39%) than that based on the updated NCEPdefinition (34.5%) [25], particularly in MexicanAmerican men.

    Underlying mechanisms: insulin resistanceand obesity

    The predominant underlying risk factors for themetabolic syndrome are thought to be insulinresistance [3, 35, 36] and abdominal obesity [13,3739]. Reaven [3] postulated that insulin resis-tance and its compensatory hyperinsulinemiapredispose patients to hypertension, hyperlipid-emia and type 2 diabetes and are thus the under-lying cause of much CVD.This constellation ofinterrelated metabolic risk factors appears topromote the development of atheroscleroticCVD (Fig. 2). Although obesity was not includedin Reavens primary list of disorders caused byinsulin resistance, he acknowledged that it, too,was correlated with insulin resistance or hyper-insulinemia, and that the obvious treatment forwhat he termed syndrome X was weight main-tenance (or weight loss) and physical activity. Astate of mild chronic inflammation has also beenrelated to features of the metabolic syndrome,particularly obesity and insulin resistance [40],as discussed below.

    Insulin resistance

    The metabolic syndrome is associated withinsulin resistance but is not a consequence ofinsulin resistance alone nor of the lack of insulinaction alone [41].Three mechanisms have beenproposed to explain how insulin resistance mightgenerate other features of the metabolic syn-

    2 International Diabetes Monitor Volume 18, Number 5, 2006

    Review articles

    Table I: Criteria for clinical diagnosis of the metabolic syndrome.

    Clinical measurea WHOb (1999) [10] ATP III (2005) [13] IDFc (2005) [14]

    Abdominal obesity WHR >0.90 (M) Waist 102 cm (Asians 90 cm)(M)Waist 94 cm (Asians 90 cm)

    (M)WHR >0.85 (F) Waist 88 cm (Asians 80 cm) (F) Waist 80 cm (Asians 80 cm) (F)or BMI

  • drome: the effects of mild to moderate hyper-glycemia, the effects of compensatory hyperinsu-linemia, and the effects of unbalanced pathwaysof insulin action. In insulin resistance condi-tions, the ability of insulin to augment glucoseuptake and inhibit hepatic glucose production isimpaired.The resultant hyperglycemia presentsa stimulus to the -cells, which secrete largeamounts of insulin after meals. In individualsin whom -cell dysfunction occurs, glucoseintolerance and type 2 diabetes may develop,and the development of hyperglycemia is associ-ated with an increasing prevalence of the meta-bolic syndrome.The two major pathways for insulin signaling

    are the phosphatidylinositol 3-kinase (PI3K) andthe mitogen-activated protein (MAP) kinasepathways [42]. In the metabolic syndrome thepathways leading to activation of PI3K areimpaired, whereas the MAP kinase pathway,which mediates the mitogenic and proinflamma-tory responses of insulin signaling, may be over-stimulated [43], leading to unbalanced combina-tions of both reduced as well as excessive

    activation of metabolic targets via these twopathways of insulin action.

    Although insulin-resistant individualsneed not be clinically obese, theynevertheless commonly have an

    abnormal fat distribution characterizedby predominant upper body

    fat accompanied by an expandedvisceral fat depot

    Obesity

    During the last decade, newly discovered adipo-kinetic pathways have suggested novel patho-physiologic mechanisms linking increased adi-pose tissue mass with the development of insulinresistance and other components of the meta-bolic syndrome [44]. In the Insulin ResistanceAtherosclerosis Study [45], the strongest predic-tor of the metabolic syndrome was waist circum-ference; thus, abdominal obesity may precede

    3International Diabetes MonitorVolume 18, Number 5, 2006

    Review articles

    Mexico (19971999)

    Saudi Arabia (19952000)

    Iran (19992001)

    Turkey (2000)

    USA (19992002)

    Venezuela (19992001)

    Portugal (2000)

    USA (19881994)

    Oman (2001)

    Greece (2003)

    Spain (20002003)

    Italy (2000)

    South Korea (1998)

    India (2003)

    Australia (19992000)

    France (1996)

    0 10 20 30 40 50 60

    Prevalence (%)

    WomenMen

    Fig. 1: Prevalence of the metabolic syndrome in several countries according to NCEP/ATP III criteria. Data from a recent analysisof a national survey showed a prevalence of 34% in Mexico (personal communication from Simon Barquera,MD, PhD).

  • the development of components of the metabolicsyndrome. Likewise, in the San Antonio HeartStudy [46], one-third of subjects with both alarge waist circumference and high BMI devel-oped the metabolic syndrome during the 8-yearfollow-up. Adjusting for fasting insulin concen-trations had only a minor effect on the predictivevalue of the anthropometric indices.It is recognized that some people who are not

    obese or even overweight by traditional measuresare nevertheless insulin-resistant and haveabnormal levels of metabolic risk factors (nor-mal weight, metabolically obese) [47].This wasalso observed in lean individuals with twodiabetic parents or one parent and a first- orsecond-degree relative [48]. Although insulin-resistant individuals need not be clinically obese,they nevertheless commonly have an abnormalfat distribution characterized by predominantupper body fat which is accompanied by anexpanded visceral fat depot (or visceral adipos-ity) and which is associated with increasedrelease of non-esterified fatty acids from adiposetissue [49, 50]; this contributes to ectopic lipidaccumulation in muscle and liver, which isthought to predispose to insulin resistance [51]and dyslipidemia [52].The tendency to increasevisceral fat with only modest increases in subcu-taneous fat and body weight is especially true inpopulations from Asia [34].This has led to therecommendation in the IDF and the AmericanHeart Association update on the NCEP defini-tion of the metabolic syndrome that cut-pointsfor increased waist circumference be set lowerfor these populations.Therefore some investiga-tors regard insulin resistance as a mediating fac-tor in the metabolic syndrome, but not as theprimary cause, and consider dysfunctionalenergy storage to be a fundamental step [41].Abnormalities in the processing and storage offatty acids and triglycerides, the molecules that

    account for most of the bodys energy utilizationand storage, are observed when there is toomuch triglyceride or body fat (i.e. obesity).When the capacity of adipocytes to store triglyc-eride is exceeded, fat accumulates in hepato-cytes, skeletal myocytes and other tissues. Exces-sive maldistribution of fat in visceral tissuesappears to be a marker or perhaps a determinantof insulin resistance.Visceral adiposity correlateswell with insulin resistance and most features ofthe metabolic syndrome.The adipose tissue of obesity exhibits abnor-

    malities in the production of adipokines, whichmay separately affect insulin resistance and/ormodify the risk of atherosclerotic CVD.Theseinclude increased production of inflammatorycytokines [53, 54], plasminogen activatorinhibitor-1 [55] and other bioactive products[44]; at the same time the potentially protectiveadipokine, adiponectin, is reduced [56]. All ofthese changes have been implicated in the gen-esis of metabolic risk factors. Indeed, as men-tioned above, some individuals exhibit the meta-bolic syndrome with only a moderate degree oftotal body obesity [47].

    Inflammation and the metabolic syndrome

    In recent years extensive studies have uncoveredthe importance of systemic low-grade inflamma-tion in the initiation and development of athero-sclerosis as well as acute CVD events [5759].Several cytokines and acute-phase reactants havebeen shown to be associated with and predictCVD, including C-reactive protein, interleukin 6(IL-6), serum amyloid A, fibrinogen, whiteblood cell count, D-dimer, plasminogen activa-tor, tumor necrosis factor- (TNF), lipoproteinphospholipase A2, interleukin-18, metallopro-teinase PAPP-A and secretory non-pancreaticphospholipase A2 type IIA [6062]. In addition,systemic inflammation is also associated withatherogenic changes in lipoprotein metabolismincluding hypertriglyceridemia; elevated triglyc-eride-rich lipoprotein; small, dense LDL; anddecreased HDL cholesterol [63].C-reactive protein correlates with the severity

    of the metabolic syndrome [64] and, eventhough several studies support the role ofinflammation in the development of the meta-bolic syndrome, the nature of the relationshipsamong these inflammatory markers, the pres-ence of dyslipidemia and the degree of insulinresistance remain unclear [6567].There is evidence that obesity and chronic

    subclinical inflammation may play intermediary

    4 International Diabetes Monitor Volume 18, Number 5, 2006

    Review articles

    Dyslipidemia

    Hypertriglyceridemia

    Small, dense LDL

    Low HDL

    Hypertension

    HyperglycemiaHypercoagulability

    Underlyingfactors

    Metabolicfactors

    Clinicaloutcomes

    Cardiovasculardisease

    Insulinresistance

    Inflammation

    Abdominalobesity

    Type 2diabetes

    Fig. 2:Metabolic syndrome pathways.

  • roles in the pathogenesis of CVD and type 2 dia-betes [68].The levels of C-reactive protein andIL-6 increase with the degree of adiposity andmay lead to higher insulin resistance and the riskof developing type 2 diabetes [69].To the extentthat elevated IL-6 and C-reactive protein levelsreflect adipocyte activation, the availability ofthese markers represents an approach for earlyidentification of individuals at increased riskof the metabolic syndrome, type 2 diabetesand CVD.

    The American Heart Associationrecommends the use of C-reactive

    protein as the best inflammatory markerin the clinical assessment of CVD risk

    Among a wide range of biomarkers, C-reactiveprotein is considered to be the most applicablefor clinical use. In several studies, C-reactiveprotein has actually predicted CVD better thanother inflammatory biomarkers including inter-cellular adhesion molecule-1 and vascular celladhesion molecule-1,TNF and IL-6, and inde-pendently of LDL cholesterol and other lipopro-tein levels [61]. In the general population, thelevel of C-reactive protein has been found toconsistently predict incident myocardial infarc-tion, stroke, peripheral arterial disease, suddencardiac death, and recurrent ischemia and deathin patients with angina and acute coronarysymptoms [70].The American Heart Associationrecommendations state that, although inconclu-sive, evidence supports the use of C-reactiveprotein as the best inflammatory marker in theclinical assessment of CVD risk [60].

    Association of the metabolic syndrome withmortality and CVD

    There is uncertainty about the clinical and pub-lic health importance of the metabolic syndrome[71, 72]. A recent report summarizing its predic-tive value [73] concluded that the population-attributable risk (PAR) associated with the meta-bolic syndrome, based on the NCEP andWHOdefinitions, is approximately 67% for all-causemortality and 1217% for CVD. A report fromthe Framingham Heart Offspring Study [74]recently showed that the PAR for the metabolicsyndrome as a predictor of CVD and coronaryheart disease was 34% and 29%, respectively, inmen and 16% and 8%, respectively, in women.The metabolic syndrome components that con-

    tributed most to the cardiovascular outcomeswere elevated blood pressure and low HDL cho-lesterol, with PAR estimates of 33% and 25%,respectively.The metabolic syndrome varies in its predic-

    tive capacity for CVD by ethnicity, gender andthe presence or absence of hyperglycemia [75,76]. In the Framingham Offspring database, themetabolic syndrome accounted for approxi-mately one-fourth of cardiovascular morbidity[74]. In the Botnia study, subjects with themetabolic syndrome had a threefold increasedrisk of coronary heart disease and stroke, a five-to sixfold increased risk of CVD death, andincreased all-cause mortality [77]. In Finnishmen, insulin resistance and the metabolic syn-drome predicted coronary heart disease eventsand both CVD and all-cause mortality [78].Therisk of death from all causes and CVD increasedwith growing numbers of abnormalities [79].The presence of the metabolic syndrome iden-

    tifies those with relatively high long-term risk ofCVD and thus calls for intensified lifestyletherapy. It needs to be stressed that the meta-bolic syndrome itself is a relatively poor indicatorof absolute short-term risk [80], because it doesnot contain key determinants of short-term risksuch as age, serum cholesterol, gender andsmoking status. A more accurate predictor ofshort-term risk is Framingham scoring, whichincludes all of the major risk factors.

    Metabolic syndrome and diabetesdevelopment

    The metabolic syndrome not only accompaniesbut also precedes and predicts type 2 diabetes[81, 82].The San Antonio Heart Study investi-gators compared OGTT results against theNCEP andWHO criteria for the metabolic syn-drome in predicting diabetes. Of the three,impaired glucose tolerance on the OGTT wasthe best with a predictive value of 43% vs. 31%by the NCEP criteria and 30% by the modifiedWHO criteria [83]. Furthermore, even in sub-jects with impaired glucose tolerance, the pres-ence of the metabolic syndrome increased therisk of progression of type 2 diabetes, althoughfurther studies are needed to confirm this obser-vation. Interestingly, in a study among non-diabetic American Indians, the homeostasismodel assessment for insulin resistance and themetabolic syndrome at baseline were associatedwith an increased risk of type 2 diabetes, butCVD was not predicted independently of othercardiovascular risk factors [84].

    5International Diabetes MonitorVolume 18, Number 5, 2006

    Review articles

  • In a recent review of prospective studies usingthe NCEP andWHO definitions of the meta-bolic syndrome, Ford [73] found that the PARfor type 2 diabetes was between 30% and 52%.

    The primary goal of clinical managementin patients with the metabolic syndromeis to reduce their long-term risk of CVD

    In the Framingham cohort, the presence of themetabolic syndrome at baseline was also foundto be a powerful predictor of new-onset diabetes.Using the revised NCEP definition for the meta-bolic syndrome, the PAR for type 2 diabetes was62% in men and 47% in women [74]. Asexpected, elevated blood glucose (100 mg/dl)was associated with the highest PAR of 62%for type 2 diabetes, while the combination ofelevated blood glucose, abdominal obesity andlow HDL cholesterol was associated with a large12-fold increased risk of incident type 2diabetes. However, trait combinations that didnot include elevated blood glucose also impartedan approximately fivefold increased risk of inci-dent type 2 diabetes.This is consistent with theconcept that the metabolic syndrome trait com-bination reflects an underlying insulin resistancepathophysiology.

    Management of the metabolic syndrome

    The primary goal of clinical management inpatients with the metabolic syndrome is toreduce their long-term risk of CVD.The primaryemphasis should be on the modification ofunderlying risk factors (obesity, physical inactiv-ity and atherogenic diet) through lifestylechanges. Not only do these interventionsimprove individual metabolic syndrome compo-nents, but they have been shown to amelioratethe underlying pathophysiologic determinants ofthe syndrome, such as obesity, insulin resistanceand inflammation [13, 85]. No studies haveexamined the value of tailoring the treatmentalgorithm to the particular combination of crite-ria that resulted in the diagnosis of the metabolicsyndrome [72], nor whether the presence of themetabolic syndrome justifies earlier applicationof pharmacologic interventions for preclinicalabnormalities in syndrome components, e.g. pre-hypertension, prediabetes or suboptimal lipidlevels. Specific pharmacologic interventions maybe indicated for the management of clinicallysignificant components of the syndrome, e.g.

    hypertension, dyslipidemia, glucose intoleranceor the procoagulant state. It is unknown whetherinsulin sensitizers, as an approach to the treat-ment of insulin resistance itself, or the use ofagents that lower C-reactive protein levels such asstatins, fibrates, nicotinic acid and thiazolidine-diones would be of value in preventing CVD inall or a subset of patients with the metabolic syn-drome outside their current clinical indications.

    Acknowledgments

    Dr Florezs work is supported by grants from theDepartment ofVeterans Affairs MiamiGRECCand CSP#465, Pan American Health Organiza-tion RC/RG-T/VEN/3201, and UMHumanaHealth Service Research. Dr Goldbergs work issupported by grants from the National Institutesof Health NIDDK DK01 0500 and2RO1HL36588-16.

    References

    1.OrchardTJ, Becker DJ, Bates M et al. Plasma insulinand lipoprotein concentrations: an atherogenic associa-tion? Am J Epidemiol 1983; 118(3): 32637.

    2.Haffner SM, Fong D, Hazuda HP et al. Hyperinsulin-emia, upper body adiposity, and cardiovascular risk fac-tors in non-diabetics.Metabolism 1988; 37(4): 33845.

    3. Reaven GM. Role of insulin resistance in human dis-ease. Diabetes 1988; 37(12): 1595607.

    4. Bjrntorp P.The associations between obesity, adiposetissue distribution and disease. Acta Med Scand Suppl1988; 723: 12134.

    5. Juhan-Vague I,Vague P. Interrelations between carbo-hydrates, lipids, and the hemostatic system in relation tothe risk of thrombotic and cardiovascular disease. Am JObstet Gynecol 1990; 163 (1 part 2): 31315.

    6. Avogaro P, Crepaldi G, Enzi G,Tiengo A. Associazionedi iperlidemia, diabete mellito e obesita di medio grado.Acta Diabetol Lat 1967; 4: 3641.

    7.Haller H. Epidemiology and associated risk factors ofhyperlipoproteinemia. Z Gesamte Inn Med 1977; 32(8):1248.

    8. Singer P. Diagnosis of primary hyperlipoproteinemias. ZGesamte Inn Med 1977; 32(8): 12933.

    9. Stern MP, Haffner SM. Body fat distribution andhyperinsulinemia as risk factors for diabetes and cardio-vascular disease. Arteriosclerosis 1986; 6(2): 12330.

    10.World Health Organization. Definition, diagnosis, andclassification of diabetes mellitus and its complications: reportof aWHO consultation. Geneva:WHO, 1999.

    11. Expert Panel on Detection, Evaluation, andTreatmentof High Blood Cholesterol in Adults. Executive sum-mary of the third report of the National CholesterolEducation Program (NCEP) Expert Panel on Detec-tion, Evaluation, andTreatment of High Blood Choles-terol in Adults (AdultTreatment Panel III). J Am MedAssoc 2001; 85: 248697.

    12.Nesto RW.The relation of insulin resistance syndromesto risk of cardiovascular disease. Rev Cardiovasc Med2003; 4 (suppl 6): S1118.

    13.Grundy SM, Cleeman JI, Daniels SR et al., for theAmerican Heart Association and National Heart, Lung,

    6 International Diabetes Monitor Volume 18, Number 5, 2006

    Review articles

  • and Blood Institute. Diagnosis and management of themetabolic syndrome: an American HeartAssociation/National Heart, Lung, and Blood InstituteScientific Statement. Circulation 2005; 112(17):273552.

    14. Alberti KG, Zimmet P, Shaw J, for the IDF Epidemiol-ogyTask Force Consensus Group.The metabolic syn-drome a new worldwide definition. Lancet 2005;366(9491): 105962.

    15.Hunt KJ, Resendez RG,Williams K et al., for the SanAntonio Heart Study. National Cholesterol EducationProgram versusWorld Health Organization metabolicsyndrome in relation to all-cause and cardiovascularmortality in the San Antonio Heart Study. Circulation2004; 110(10): 12517.

    16. Ford ES, GilesWH, DietzWH. Prevalence of the meta-bolic syndrome among US adults: findings from theThird National Health and Nutrition Examination Sur-vey. J Am Med Assoc 2002; 287(3): 3569.

    17.Onat A, Ceyhan K, Basar O et al. Metabolic syndrome:major impact on coronary risk in a population with lowcholesterol levels a prospective and cross-sectionalevaluation. Atherosclerosis 2002; 165(2): 28592.

    18.Gupta A, Gupta R, Sarna M et al. Prevalence of dia-betes, impaired fasting glucose and insulin resistancesyndrome in an urban Indian population. Diabetes ResClin Pract 2003; 61(1): 6976.

    19. Azizi F, Salehi P, Etemadi A, Zahedi-Asl S. Prevalenceof metabolic syndrome in an urban population:TehranLipid and Glucose Study. Diabetes Res Clin Pract 2003;61(1): 2937.

    20. Al-Lawati JA, Mohammed AJ, Al-Hinai HQ, JousilahtiP. Prevalence of the metabolic syndrome among Omaniadults. Diabetes Care 2003; 26(6): 17815.

    21. Balkau B,Vernay M, Mhamdi L et al., for theD.E.S.I.R. Study Group.The incidence and persistenceof the NCEP (National Cholesterol Education Pro-gram) metabolic syndrome.The French D.E.S.I.R.study. Diabetes Metab 2003; 29(5): 52632.

    22. Cameron AJ, Shaw JE, Zimmet PZ.The metabolic syn-drome: prevalence in worldwide populations. EndocrinolMetab Clin North Am 2004; 33(2): 35175.

    23. Santos AC, Lopes C, Barros H. Prevalence of metabolicsyndrome in the city of Porto. Rev Port Cardiol 2004;23(1): 4552.

    24. Park HS, Oh SW, Cho SI et al.The metabolic syndromeand associated lifestyle factors among South Koreanadults. Int J Epidemiol 2004; 33: 32836.

    25. Ford ES. Prevalence of the metabolic syndrome definedby the International Diabetes Federation among adultsin the U.S. Diabetes Care 2005; 28(11): 27459.

    26. Lorenzo C,Williams K, Gonzalez-Villalpando C,Haffner SM.The prevalence of the metabolic syndromedid not increase in Mexico City between 19901992and 19971999 despite more central obesity. DiabetesCare 2005; 28(10): 24805.

    27.Miccoli R, Bianchi C, Odoguardi L et al. Prevalence ofthe metabolic syndrome among Italian adults accordingto ATP III definition.Nutr Metab Cardiovasc Dis 2005;15(4): 2504.

    28.Martinez-Larrad MT, Fernandez-Perez C, Gonzalez-Sanchez JL et al., for the Grupo de Estudio de AtencionPrimaria de Segovia. Prevalence of the metabolic syn-drome (ATP-III criteria). Population-based study ofrural and urban areas in the Spanish province ofSegovia.Med Clin (Barc) 2005; 125(13): 4816.

    29. AthyrosVG, BouloukosVI, Pehlivanidis AN et al., forthe MetS-Greece Collaborative Group.The prevalenceof the metabolic syndrome in Greece: the MetS-GreeceMulticentre Study. Diabetes Obes Metab 2005; 7(4):397405.

    30. Al-Nozha M, Al-Khadra A, Arafah MR et al. Metabolic

    syndrome in Saudi Arabia. Saudi Med J 2005; 26(12):191825.

    31. Florez H, Silva E, FernandezV et al. Prevalence andrisk factors associated with the metabolic syndrome anddyslipidemia in white, black, Amerindian and mixedHispanics in Zulia State,Venezuela. Diabetes Res ClinPract 2005; 69(1): 6377.

    32. Einhorn D, Reaven GM, Cobin RH et al. AmericanCollege of Endocrinology position statement on theinsulin resistance syndrome. Endocr Pract 2003; 9(3):23752.

    33. Balkau B, Charles MA. Comment on the provisionalreport from theWHO consultation. European Groupfor the Study of Insulin Resistance (EGIR). DiabeticMed 1999; 16(5): 4423.

    34. Tan CE, Ma S,Wai D et al. Can we apply the NationalCholesterol Education Program AdultTreatment Paneldefinition of the metabolic syndrome to Asians? DiabetesCare 2004; 27(5): 11826.

    35. Ferrannini E, Haffner SM, Mitchell BD, Stern MP.Hyperinsulinaemia: the key feature of a cardiovascularand metabolic syndrome. Diabetologia 1991; 34:41622.

    36.Haffner SM,Valdez RA, Hazuda HP et al. Prospectiveanalysis of the insulin-resistance syndrome (syndromeX). Diabetes 1992; 41: 71522.

    37. Lemieux I, Pascot A, Couillard C et al. Hypertriglycerid-emic waist: a marker of the atherogenic metabolic triad(hyperinsulinemia; hyperapolipoprotein B; small, denseLDL) in men? Circulation 2000; 102: 17984.

    38. ParkYW, Zhu S, Palaniappan L et al.The metabolicsyndrome: prevalence and associated risk factor findingsin the US population from theThird National Healthand Nutrition Examination Survey 19881994. ArchIntern Med 2003; 163: 42736.

    39. Carr DB, Utzschneider KM, Hull RL et al. Intra-abdominal fat is a major determinant of the NationalCholesterol Education Program AdultTreatment PanelIII criteria for the metabolic syndrome. Diabetes 2004;53: 208794.

    40. Festa A, DAgostino R Jr, Howard G et al. Chronic sub-clinical inflammation as part of the insulin resistancesyndrome: the Insulin Resistance Atherosclerosis Study(IRAS). Circulation 2000; 102(1): 427.

    41.Miranda PJ, DeFronzo RA, Califf RM, Guyton JR.Metabolic syndrome: definition, pathophysiology, andmechanisms. Am Heart J 2005; 149(1): 3345.

    42. Le Roith D, ZickY. Recent advances in our understand-ing of insulin action and insulin resistance. Diabetes Care2001; 24(3): 58897.

    43. Cusi K, Maezono K, Osman A et al. Insulin resistancedifferentially affects the PI 3-kinase and MAP kinase-mediated signaling in human muscle. J Clin Invest 2000;105(3): 31120.

    44. Ruan H, Lodish HF. Regulation of insulin sensitivity byadipose tissue-derived hormones and inflammatorycytokines. Curr Opin Lipidol 2004; 15: 297302.

    45. Palaniappan L, Carnethon MR,WangY et al. Predictorsof the incident metabolic syndrome in adults: theInsulin Resistance Atherosclerosis Study. Diabetes Care2004; 27(3): 78893.

    46.HanTS,Williams K, Sattar N et al. Analysis of obesityand hyperinsulinemia in the development of metabolicsyndrome: San Antonio Heart Study. Obes Res 2002;10(9): 92331.

    47. Ruderman N, Chisholm D, Pi-Sunyer X, Schneider S.The metabolically obese, normal-weight individualrevisited. Diabetes 1998; 47(5): 699713.

    48. Perseghin G, Ghosh S, Gerow K, Shulman GI. Meta-bolic defects in lean nondiabetic offspring of NIDDMparents: a cross-sectional study. Diabetes 1997; 46(6):10019.

    7International Diabetes MonitorVolume 18, Number 5, 2006

    Review articles

  • 49. Jensen MD, Haymond MW, Rizza RA et al. Influence ofbody fat distribution on free fatty acid metabolism inobesity. J Clin Invest 1989; 83(4): 116873.

    50. Abate N, Chandalia M, Snell PG, Grundy SM. Adiposetissue metabolites and insulin resistance in nondiabeticAsian Indian men. J Clin Endocrinol Metab 2004; 89(6):27505.

    51. Petersen KF, Shulman GI. Pathogenesis of skeletalmuscle insulin resistance in type 2 diabetes mellitus. AmJ Cardiol 2002; 90(5A): 1118G.

    52. Browning LM, Jebb SA, Mishra GD et al. Elevatedsialic acid, but not CRP, predicts features of the meta-bolic syndrome independently of BMI in women. Int JObes Relat Metab Disord 2004; 28(8): 100410.

    53.Weisberg SP, McCann D, Desai M et al. Obesity isassociated with macrophage accumulation in adiposetissue. J Clin Invest 2003; 112(12): 1796808.

    54. YouT,Yang R, Lyles MF et al. Abdominal adipose tis-sue cytokine gene expression: relationship to obesityand metabolic risk factors. Am J Physiol EndocrinolMetab 2005; 288(4): E7417.

    55. Juhan-Vague I, Alessi MC, Mavri A, Morange PE. Plas-minogen activator inhibitor-1, inflammation, obesity,insulin resistance and vascular risk. JThromb Haemost2003; 1(7): 15759.

    56.Kern PA, Di Gregorio GB, LuT et al. Adiponectinexpression from human adipose tissue: relation to obe-sity, insulin resistance, and tumor necrosis factor-alphaexpression. Diabetes 2003; 52(7): 177985.

    57. Ross R. Atherosclerosis an inflammatory disease.NEngl J Med 1999; 340: 11526.

    58.Hansson GK. Immune mechanisms in atherosclerosis.Arterioscler ThrombVasc Biol 2001; 21(12): 187690.

    59. Libby P. Inflammation in atherosclerosis.Nature 2002;420(6917): 86874.

    60. PearsonTA, Mensah GA, Alexander RW et al. Markersof inflammation and cardiovascular disease. Applicationto clinical and public health practice. A statement forhealthcare professionals from the Centers for DiseaseControl and Prevention and the American Heart Asso-ciation. Circulation 2003; 107: 499511.

    61. Fichtlscherer S, Heeschen C, Zeiher AM. Inflammatorymarkers and coronary artery disease. Curr Opin Phar-macol 2004; 4: 12431.

    62.Hurt-Camejo E, Camejo G, Peilot H et al. Phospholi-pase A2 in vascular disease. Circ Res 2001; 89: 298304.

    63.KhovidhunkitW, Memon RA, Reinglod KR, GrunfeldC. Infection and inflammation-induced proatherogenicchanges of lipoproteins. J Infect Dis 2000; 181 (suppl 3):S46272.

    64. Frohlich M, Imhof A, Berg G et al. Association betweenC-reactive protein and features of the metabolic syn-drome: a population-based study. Diabetes Care 2000;23: 18359.

    65. Pickup JC, Mattock MB, Chusney GD, Burt D.NIDDM as a disease of the innate immune system:association of acute-phase reactants and interleukin-6with metabolic syndrome X. Diabetologia 1997; 40:128692.

    66.Mendall MA, Patel P, Ballam L et al. C-reactive proteinand its relation to cardiovascular risk factors: a popula-tion based cross sectional study. Br Med J 1996;321(7038): 10615.

    67. Tracy RP, Lemaitre RN, Psaty BM et al. Relationship ofC-reactive protein to risk of cardiovascular disease inthe elderly: results from the Cardiovascular HealthStudy and the Rural Health Promotion Project.Arterioscler ThrombVasc Biol 1997; 17(6): 11217.

    68. Pradhan AD, Manson JE, Rifai N et al. C-reactive pro-

    tein, interleukin-6, and risk of developing type 2 dia-betes mellitus. J Am Med Assoc 2001; 286(3): 32734.

    69. Yudkin JS, Stehouwer CD, Emeis JJ, Coppack SW. C-reactive protein in healthy subjects: associations withobesity, insulin resistance, and endothelial dysfunction.Arterioscler ThrombVasc Biol 1999; 19(4): 9728.

    70. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactiveprotein, the metabolic syndrome, and risk of incidentcardiovascular events. An 8-year follow-up of 14719 ini-tially healthy American women. Circulation 2003;107(3): 3917.

    71. Ford ES. Insulin resistance syndrome: the public healthchallenge. Endocr Pract 2003; 9 (suppl 2): 235.

    72.Kahn R, Buse J, Ferrannini E, Stern M.The metabolicsyndrome: time for a critical appraisal. Joint statementfrom the American Diabetes Association and the Euro-pean Association for the Study of Diabetes. Diabetologia2005; 48(9): 168499.

    73. Ford ES. Risks for all-cause mortality, cardiovasculardisease, and diabetes associated with the metabolic syn-drome: a summary of the evidence. Diabetes Care 2005;28(7): 176978.

    74.Wilson PW, DAgostino RB, Parise H et al. Metabolicsyndrome as a precursor of cardiovascular disease andtype 2 diabetes mellitus. Circulation 2005; 112(20):306672.

    75. Brown SA, Hutchinson R, Morriset J et al. Plasma lipid,lipoprotein cholesterol, and apoprotein distribution inselected US communities.The Atherosclerosis Risk inCommunities (ARIC) study. Arterioscler Thromb 1993;13: 113958.

    76. Laws A, Hoen HM, Selby JV et al. Differences ininsulin suppression of free fatty acid levels by genderand glucose tolerance status. Relation to plasma triglyc-eride and apolipoprotein B concentrations. InsulinResistance Atherosclerosis Study (IRAS) Investigators.Arterioscler ThrombVasc Biol 1997; 17: 6471.

    77. Isomaa B, Almgren P,TuomiT et al. Cardiovascularmorbidity and mortality associated with the metabolicsyndrome. Diabetes Care 2001; 4: 6839.

    78. Lakka HM, Laaksonen DE, LakkaTA et al.The meta-bolic syndrome and total and cardiovascular diseasemortality in middle-aged men. J Am Med Assoc 2002;288: 270916.

    79. Trevisan M, Liu J, Bahsas FB, Menotti A. Syndrome Xand mortality: a population-based study. Risk Factorand Life Expectancy Research Group. Am J Epidemiol1998; 148: 95866.

    80.Grundy SM. Point: the metabolic syndrome still lives.Clin Chem 2005; 51: 13524.

    81.Keklinen P, Sarlund H, Pyrl K, Laakso M. Hyper-insulinemia cluster predicts the development of type 2diabetes independently of family history of diabetes.Diabetes Care 1999; 22: 8692.

    82.Hanson RL, Imperatore G, Bennett PH, KnowlerWC.Components of the metabolic syndrome and incidenceof type 2 diabetes. Diabetes 2002; 51: 31207.

    83. Lorenzo C, Okoloise M,Williams K et al.The metabolicsyndrome as predictor of type 2 diabetes: the San Anto-nio Heart Study. Diabetes Care 2003; 26: 31539.

    84. Resnick HE, Jones K, Ruotolo G et al. Insulin resis-tance, the metabolic syndrome, and risk of incident car-diovascular disease in nondiabetic American Indians:the Strong Heart Study. Diabetes Care 2003; 26: 8617.

    85. OrchardTJ,Temprosa M, Goldberg R et al., for the Dia-betes Prevention Program Research Group.The effect ofmetformin and intensive lifestyle intervention on themetabolic syndrome: the Diabetes Prevention Programrandomized trial.Ann Intern Med 2005; 142: 6119.

    8 International Diabetes Monitor Volume 18, Number 5, 2006

    Review articles