Number 30, 2006 Metabolic syndrome and its management
The metabolic syndrome
Back to the Summary
Bernhard O. Boehm, Stephan Schiekofer
Division of Endocrinology and Diabetes, Ulm University, Ulm, Germany
Correspondence: Professor Bernhard O. Boehm, Division of Endocrinology and Diabetes, Ulm University, Robert-Koch-Str 8, 89070 Ulm/Donau, Germany. Tel: +49-731-500-24304; fax: +49-731-500-23938; e-mail: bernhard.boehm@medizin.uni-ulm.de
| Abstract
The metabolic syndrome is characterized by the cooccurrence of central obesity, dyslipidemia, altered glucose concentrations, and hypertension. Very recently, the International Diabetes Federation has published a consensus worldwide definition of the metabolic syndrome. However, as yet, no consensus exists for specific thresholds for establishing the diagnosis. The individual traits of the syndrome cluster together to a notably greater degree than expected by chance alone – a fact that lends substantial support to the idea of a common set of mechanisms with pleiotropic effects leading to the metabolic syndrome. Lifestyle modification is currently the preferred universal treatment option of the metabolic syndrome. In addition, treatment of modifiable risk factors of the syndrome should be addressed specifically.
Keywords:
Diabetes, hyperglycemia, dyslipidemia, pleiotropic effects, lifestyle modification, metabolic syndrome
|
Introduction
The metabolic syndrome is characterized by the co-occurrence of central obesity, dyslipidemia (which is typically defined by high concentrations of triglycerides and low concentrations of high-density lipoprotein cholesterol, dysglycemia or hyperglycemia or both according to standard diabetes criteria), and hypertension [1–4].
The syndrome is a highly prevalent multifaceted clinical entity. Various prospective epidemiological studies across several populations have shown that the metabolic syndrome is a dynamic phenotype featuring a continuum of metabolic derangements. As yet, no consensus exists for specific thresholds for establishing the diagnosis of each of these traits as components of the syndrome.
The individual traits of the metabolic syndrome cluster together to a notably greater degree than expected by chance alone – a fact that also lends substantial support to the existence of a discrete disorder [5–9].
Current definition of the metabolic syndrome
Current definitions of the metabolic syndrome take into account two major outcomes, cardiovascular disease and type 2 diabetes, thereby perceiving the metabolic syndrome as ‘prediabetes’. Tables I–III summarize the current definitions, including a very recent consensus statement provided by the International Diabetes Federation (IDF) [1–4].
Table I. National Cholesterol Education Program–Third Adult Treatment Panel III 2001 definition of the metabolic syndrome. (Adapted from [1]).
Table II. World Health Organization clinical criteria for the metabolic syndrome, 1999. (Adapted from [3]).
Table III. The new International Diabetes Federation (IDF) definition, 2005. (Adapted from [4]).
Prevalence of the metabolic syndrome
Because of the lack of standardized criteria for recognizing the metabolic syndrome, a comparison of published prevalences for different populations is rather difficult. Nevertheless, despite differences in the criteria used, certain inferences can be made: prevalence of the metabolic syndrome is highly age-dependent (USA National Health and Nutrition Examination Survey [NHANES III]) [10]. The Framingham Offspring Study also revealed that the metabolic risk factors worsen continuously across the spectrum of nondiabetic glucose tolerance, suggesting a continuous risk [11,12]. Using the Adult Treatment Panel III criteria, prevalence of the metabolic syndrome in Germany was also found to be age-dependent, and dependent on social status [13].
Treatment
Once a diagnosis of the metabolic syndrome is made, the management of the condition should be ‘aggressive’ in its aim to reduce the risk of both cardiovascular disease (CVD) and type 2 diabetes. Patients should undergo a full cardiovascular risk assessment that includes smoking status [3–5]. Lifestyle intervention includes a healthy diet – which means eating plenty of fruit and vegetables, lean cuts of white meat or fish rather than red meat, and avoidance of processed or deep-fried dinners. Items rich in dietary fiber, such as whole grains, beans, fruit and vegetables, which can decrease (pro)insulin concentrations, should also be used. Physical activity should be implemented with at least 30 min of moderately strenuous activity most days of the week. This intervention should be accompanied by regular checks of modifiable risks such as blood pressure, cholesterol and blood sugar concentrations. For primary intervention, the IDF recommends promotion of a healthy lifestyle, including moderate calorie restriction (to achieve a 5–10% loss of body weight in the first year), an increase in physical activity (5 × 30 min of moderate activity per week), and a change in dietary composition. Both a Finnish and an American (Diabetes Prevention Program) diabetes prevention study revealed that lifestyle modification will at least prevent the conversion to type 2 diabetes among high-risk individuals with glucose intolerance who were, generally, obese [14–16]. In addition, in people for whom lifestyle change is not enough and who are considered to be at high risk for CVD, secondary intervention with drug therapy may be suggested. However, pharmacotherapy that can modulate the underlying mechanisms of the metabolic syndrome as a whole and thereby reduce the impact of all the risk factors and the long-term metabolic and cardiovascular consequences is currently not available. Therefore, it is necessary to treat the individual components of the metabolic syndrome, in order that a reduction in the individual risk associated with each one will reduce the overall impact on CVD and diabetes risk [4].
Current controversies
The existing guidelines from the World Health Organization (WHO) and National Cholesterol Education Program–Third Adult Treatment Panel (NCEP–ATP III) did not provide exact diagnostic criteria for identifying individuals with metabolic syndrome [1–3]. However, there is a strong need for a single, universally accepted diagnostic tool that may allow direct comparisons of the prevalences of the metabolic syndrome and may also make it possible to monitor the efficacy of any therapeutic intervention [4]. An additional difficulty is that no consensus exists for specific thresholds for establishing the diagnosis of each of these traits as components of the syndrome.
A unifying pathophysiological concept of the syndrome is also lacking. It has long been believed that insulin resistance may provide the unifying hypothesis, but current evidence has been questioned in a joint statement by the American Diabetes Association and the European Diabetes Association [17,18]. Even though most people who have the metabolic syndrome are insulin resistant, this is most probably attributable to the fact that almost all people with an increased blood glucose value are insulin resistant. Conversely, many studies have shown that only a minority of nondiabetic individuals with insulin resistance will suffer from the metabolic syndrome.
The value of including diabetes in the definition of the metabolic syndrome has been questioned in view of the lack of a clear rationale for including/excluding various CVD risk factors. Most importantly, the overall CVD risk value is variable and dependent on the specific individual risk factors present.
The syndrome is managed by treating each of its components. Provided that classical risk profiling has been performed, the medical value of diagnosing the syndrome is unclear.
Further points have been raised. (i) It remains unclear how the syndrome is best defined. (ii) Are all risk factors equally important, if combinations of risk factors portend greater CVD risk than others? (iii) A definition of the metabolic syndrome in which variables have defined lower and upper cutoff points or that uses continuous variables in a multivariate score system (eg, Framingham/UK Prospective Diabetes Study risk engine) requires more detailed study [17,19–21].
Perspective – the search for a unifying concept
The idea that a common set of factors with several diverse effects might influence obesity, type 2 diabetes, and related traits such as sensitivity to the effects of insulin, is not novel [5,7]. New data may provide further evidence of a common molecular link between insulin resistance, obesity, and type 2 diabetes. Very recently, the gene ENPP1 (which encodes ectonucleotide pyrophosphatase/phosphodiesterase 1*, also known as plasma cell membrane glycoprotein PC-1) was shown to mediate some of the effects of the hormone insulin on glucose metabolism while simultaneously being associated with obesity and type 2 diabetes. This observation supports the idea that a common molecular mechanism underlies features of the body's response to the effects of the hormone insulin, in addition to the predisposition to develop obesity and type 2 diabetes [22]. These findings also suggest that several variants of ENPP1 may have a primary role in mediating insulin resistance and in the development of both obesity and type 2 diabetes, implying that an underlying molecular mechanism is common to both conditions.
The AMP-activated protein kinase (AMPK) pathway* is an evolutionarily conserved sensor of cellular energy status that plays a critical role in systemic energy balance. Complex signaling networks suggested that AMPK may prevent insulin resistance, in part by inhibiting pathways that antagonize insulin signaling. Through signaling, metabolic, and gene expression effects, AMPK enhances insulin sensitivity and fosters a metabolic milieu that may reduce the risk for obesity and type 2 diabetes [23]. It was recently shown that metformin, one of the drugs most widely prescribed for type 2 diabetes therapy, requires leukotriene B1* and subsequent AMPK activation in the liver in order to decrease blood glucose concentrations [24].
Conclusion
The metabolic syndrome is a multifaceted clinical entity resulting from the interaction of genetic, hormonal, and lifestyle factors. Over the past two decades, the number of people diagnosed with the syndrome has steadily increased. A better understanding of the underlying molecular pathophysiology should lead to novel preventive strategies. A research agenda to identify the underlying cause(s) is recommended [4,13,19,25].
Universally speaking, the metabolic syndrome is a huge clinical problem and is one that is growing at an alarming rate. The new IDF criteria provide a robust framework for making the diagnosis of the syndrome and for implementing lifestyle changes, at least, in the individuals diagnosed. The opportunity should not be missed, in view of this worldwide epidemic.
* See glossary for definition of these terms.
REFERENCES
1. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486–2497.
PMID: 11368702 [PubMed - indexed for MEDLINE]
2. Alberti KG, Zimmet PZ.
Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus: provisional report of a WHO consultation.
Diabet Med. 1998;15:539–553.
PMID: 9686693 [PubMed - indexed for MEDLINE]
3. World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO Consultation. Part 1: Diagnosis and classification of diabetes mellitus. Geneva, Switzerland: World Health Organization, 1999. Available from: http://whqlibdoc.who.int/hq/1999/WHO_NCD_NCS_99.2.pdf. [Accessed 2003 Dec 12].
4. Alberti K, Zimmet P, Shaw J, for the IDF Epidemiology Task Force Consensus.
The metabolic syndrome – a new worldwide definition.
Lancet. 2005;366:1059–1062.
PMID: 16182882 [PubMed - indexed for MEDLINE]
5. Haller H, Leonhardt W, Moser W, Hanefeld M.
Relation of blood pressure to the body weight index and to metabolic parameters.
Z Gesamte Inn Med. 1973;28S:211–213.
6. Meigs JB, D’Agostino RB Sr, Wilson PW, Cupples LA, Nathan DM, Singer DE.
Risk variable clustering in the insulin resistance syndrome: the Framingham Offspring Study.
Diabetes. 1997;46:1594–1600.
PMID: 9313755 [PubMed - indexed for MEDLINE]
7. Reaven GM.
Syndrome X.
Blood Press. 1992;4S:13–16.
8. Ferrannini E, Haffner SM, Mitchell BD, Stern MP.
Hyperinsulinaemia: the key feature of a cardiovascular and metabolic syndrome.
Diabetologia. 1991;34:416–422.
PMID: 1884900 [PubMed - indexed for MEDLINE]
9. Reaven GM.
Role of insulin resistance in human disease.
Diabetes. 1988;37:1595–1607.
PMID: 3056758 [PubMed - indexed for MEDLINE]
10. Ford ES, Giles WH, Dietz WH.
Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey.
JAMA. 2002;287:356–359.
PMID: 11790215 [PubMed - indexed for MEDLINE]
11. Meigs JB, Nathan DM, Wilson PW, Cupples LA, Singer DE.
Metabolic risk factors worsen continuously across the spectrum of nondiabetic glucose tolerance: the Framingham Offspring Study.
Ann Intern Med. 1998;128:524–533.
PMID: 9518396 [PubMed - indexed for MEDLINE]
12. Gerstein HC.
Is glucose a continuous risk factor for cardiovascular mortality?
Diabetes Care. 1999;22:659–660.
PMID: 10332661 [PubMed - indexed for MEDLINE]
13. Boehm BO, Claudi-Boehm S, Yildirim S, et al.
Prevalence of the Metabolic Syndrome in Southwest Germany.
Scand J Clin Lab Invest. 2005;240:122–128.
14. Lindström J, Louheranta A, Mannelin M.
The Finnish Diabetes Prevention Study (DPS): lifestyle intervention and 3-year results on diet and physical activity.
Diabetes Care. 2003;26:3230–3236.
PMID: 14633807 [PubMed - indexed for MEDLINE]
15. Tuomilehto J, Lindström J, Eriksson JG, et al.
Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance.
New Engl J Med. 2001;344:1343–1350.
PMID: 11333990 [PubMed - indexed for MEDLINE]
16. Knowler WC, Barrett-Connor E, Fowler SE, et al.
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
New Engl J Med. 2002;346:393–403.
PMID: 11832527 [PubMed - indexed for MEDLINE]
17. Kahn R, Ferranini E, Buse J, et al.
The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.
Diabetes Care. 2005;28:2289–2304.
PMID: 16123508 [PubMed - indexed for MEDLINE]
18. Reaven GM.
The metabolic syndrome: requiescat in pace.
Clin Chem. 2005;51:931–938.
PMID: 15746300 [PubMed - indexed for MEDLINE]
19. Golden SH, Folsom AR, Coresh J, Sharrett AR, Szklo M, Brancati F.
Risk factor groupings related to insulin resistance and their synergistic effects on subclinical atherosclerosis: the atherosclerosis risk in communities study.
Diabetes. 2002;51:3069–3076.
PMID: 12351449 [PubMed - indexed for MEDLINE]
20. Wilson PWF.
Estimating cardiovascular disease risk and the metabolic syndrome: a Framingham view.
Endocrinol Metab Clin N Am. 2004;33:467–481.
21. Wilson PWF, Kannel WB, Silbershatz H, D’Agostino RB.
Clustering of metabolic factors and coronary heart disease.
Arch Intern Med. 1999;159:1104–1109.
PMID: 10335688 [PubMed - indexed for MEDLINE]
22. Meyre D, Bouatia-Naji N, Tounian A, et al.
Variants of ENPP1 are associated with childhood and adult obesity and increase the risk of glucose intolerance and type 2 diabetes.
Nat Genet. 2005;37:863–867.
PMID: 16025115 [PubMed - indexed for MEDLINE]
23. Kahn B, Alquier T, Carling D, Hardie D.
AMP-activated protein kinase: ancient energy gauge provides clues to modern understanding of metabolism.
Cell Metab. 2005;1:15–25.
PMID: 16054041 [PubMed - indexed for MEDLINE]
24. Shaw RJ, Lamina KA, Vasquez D, et al.
The kinase LKB1 mediates glucose homeostasis in liver and therapeutic effects of metformin.
Science. 2005;310:1642–1646.
PMID: 16308421 [PubMed - indexed for MEDLINE]
25. Pouliot MC, Després JP, Lemieux S, et al.
Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women.
Am J Cardiol. 1994;73:460–468.
PMID: 8141087 [PubMed - indexed for MEDLINE]
|