Trevor J. Orchard, MD; Marinella Temprosa, MS; Ronald Goldberg, MD; Steven Haffner, MD; Robert Ratner, MD; Santica Marcovina, PhD, DSc; Sarah Fowler, PhD; for the Diabetes Prevention Program Research Group
Grant Support: Funding was provided by the National Institutes of Health (5U01DK048489) through the National Institute of Diabetes and Digestive and Kidney Diseases, the National Center on Minority Health and Health Disparities, the National Institute of Child Health and Human Development, the Office of Women's Health, and the National Institute on Aging. In addition, the Indian Health Service, the Centers for Disease Control and Prevention, the American Diabetes Association, and 2 pharmaceutical companies—Bristol-Myers Squibb and Parke-Davis—contributed support. The General Clinical Research Center Program, National Center for Research Resources, supported many of the clinical centers. Support to the clinical centers and the Coordinating Center was provided by the National Institute of Diabetes and Digestive and Kidney Diseases through a cooperative agreement, except for the Southwestern American Indian Centers, which were supported directly by the National Institute of Diabetes and Digestive and Kidney Diseases and the Indian Health Service.
Potential Financial Conflicts of Interest: Consultancies: T.J. Orchard (Metabolic Syndrome Alliance, Sanofi-Aventis); Grants received: R. Ratner (Bristol-Myers Squibb).
Requests for Single Reprints: Diabetes Prevention Program Coordinating Center, The Biostatistics Center, George Washington University, 6110 Executive Boulevard, Suite 750, Rockville, MD 20852.
Current Author Addresses: Dr. Orchard: Diabetes and Lipid Research Building, University of Pittsburgh, 3512 5th Avenue 203, Pittsburgh, PA 15213.
Ms. Temprosa and Dr. Fowler: George Washington University, Biostatistics Center, 6110 Executive Boulevard, Suite 750, Rockville, MD 20852.
Dr. Goldberg: Diabetes Research Institute, University of Miami School of Medicine, 1450 NW 10th Avenue R-77, Miami, FL 33136.
Dr. Haffner: Department of Medicine, Clinical Epidemiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MSC 7873, San Antonio, TX 78229-3900.
Dr. Ratner: Medstar Research Institute, 6495 New Hampshire Avenue, Suite 201, Hyattsville, MD 20783.
Dr. Marcovina: Northwest Lipid Research Labs, 2121 North 35th Street, University of Washington, Seattle, WA 98103-9103.
Author Contributions: Conception and design: T.J. Orchard, M. Temprosa, R. Goldberg, S. Haffner, R. Ratner, S. Fowler.
Analysis and interpretation of the data: T.J. Orchard, M. Temprosa, R. Goldberg, R. Ratner, S. Fowler.
Drafting of the article: T.J. Orchard, M. Temprosa, R. Goldberg, S. Haffner, S. Fowler.
Critical revision of the article for important intellectual content: T.J. Orchard, M. Temprosa, R. Goldberg, S. Haffner, R. Ratner, S. Marcovina, S. Fowler.
Final approval of the article: T.J. Orchard, M. Temprosa, R. Goldberg, R. Ratner, S. Marcovina, S. Fowler.
Provision of study materials or patients: The DPP Research Group, T.J. Orchard, R. Goldberg, S. Haffner, R. Ratner, S. Marcovina.
Statistical expertise: M. Temprosa, S. Fowler.
Obtaining of funding: The DPP Research Group Principal Investigators.
Administrative, technical, or logistic support: T.J. Orchard, M. Temprosa, R. Goldberg, S. Marcovina, S. Fowler.
Collection and assembly of data: The DPP Research Group, T.J. Orchard, M. Temprosa, R. Goldberg.
The metabolic syndrome is a high-risk state for diabetes and cardiovascular disease. Little is known about its prevalence and prevention in those with impaired glucose tolerance.
To determine the prevalence of the metabolic syndrome at baseline in the Diabetes Prevention Program and the effect of intensive lifestyle intervention and metformin therapy on the syndrome's incidence and resolution.
Randomized, controlled clinical trial.
Research and community-based centers.
Participants had impaired glucose tolerance (World Health Organization criteria plus fasting plasma glucose level ≥5.3 mmol/L [≥95 mg/dL]) and were followed for a mean of 3.2 years after random assignment to intensive lifestyle intervention, metformin therapy, or placebo.
Metformin, 850 mg twice daily, or intensive lifestyle intervention designed to achieve and maintain a 7% weight loss and 150 minutes of exercise per week.
The metabolic syndrome was defined as having 3 or more characteristics (waist circumference; blood pressure; and levels of high-density lipoprotein cholesterol, triglycerides, and fasting plasma glucose) that met criteria from the National Cholesterol Education Program Adult Treatment Panel III.
Fifty-three percent of participants (n = 1711) had the metabolic syndrome at baseline; incidence did not vary substantially by age. However, low levels of high-density lipoprotein cholesterol predominated in younger participants (age 25 to 44 years), and high blood pressure predominated in older participants (age 60 to 82 years). In life-table analyses (log-rank test), incidence of the metabolic syndrome was reduced by 41% in the lifestyle group (P < 0.001) and by 17% in the metformin group (P = 0.03) compared with placebo. Three-year cumulative incidences were 51%, 45%, and 34% in the placebo, metformin, and lifestyle groups, respectively. There was no significant heterogeneity by ethnic group.
The study involved a volunteer group with impaired glucose tolerance, which limits generalizability.
The metabolic syndrome affected approximately half of the participants in the Diabetes Prevention Program at baseline. Both lifestyle intervention and metformin therapy reduced the development of the syndrome in the remaining participants.
Intensive diet and exercise or metformin can prevent the development of diabetes in individuals with impaired fasting glucose, but the effects of these interventions on development of the metabolic syndrome are unknown.
This secondary analysis of Diabetes Prevention Program data showed that lifestyle intervention and metformin each reduced the development of the metabolic syndrome among the 45% of participants who did not have it at baseline. The impact of lifestyle intervention was much more marked than that of metformin.
Interventions that prevent diabetes will also reduce the development of the metabolic syndrome.
Randomly assigned participants by treatment group and annual visit.
Table 1. Prevalence of the Metabolic Syndrome and Its Components by Age and Sex in the Diabetes Prevention Program
Table 2. Baseline Spearman Partial Correlations of Metabolic Syndrome Risk Factors and Homeostasis Model Assessment Score for Insulin Resistance Adjusted for Age, Sex, and Ethnicity
Development of the metabolic syndrome by intervention group in the Diabetes Prevention Program.
Table 3. Three-Year Incidence and Prevalence of Metabolic Syndrome Components among Diabetes Prevention Program Participants by Treatment Group
Resolution of the metabolic syndrome by intervention group in the Diabetes Prevention Program.
Venn diagram of the components of the metabolic syndrome.
The In the Clinic® slide sets are owned and copyrighted by the American College of Physicians (ACP). All text, graphics, trademarks, and other intellectual property incorporated into the slide sets remain the sole and exclusive property of the ACP. The slide sets may be used only by the person who downloads or purchases them and only for the purpose of presenting them during not-for-profit educational activities. Users may incorporate the entire slide set or selected individual slides into their own teaching presentations but may not alter the content of the slides in any way or remove the ACP copyright notice. Users may make print copies for use as hand-outs for the audience the user is personally addressing but may not otherwise reproduce or distribute the slides by any means or media, including but not limited to sending them as e-mail attachments, posting them on Internet or Intranet sites, publishing them in meeting proceedings, or making them available for sale or distribution in any unauthorized form, without the express written permission of the ACP. Unauthorized use of the In the Clinic slide sets will constitute copyright infringement.
Frank A. Anania
Emory University School of Medicine
April 21, 2005
Metabolic Syndrome and Fatty Liver
TO THE EDITOR: It would be remiss of practitioners in the Digestive Disease community not to point out that the most recent results published by Orchard and colleagues in association with the Diabetes Prevention Program failed to present laboratory data of the patients' serum alanine aminotransferase (ALT) values at entry, and upon completion of either pharmacologic intervention with metformin or the intensive lifestyle modifications tested in this study. Non-alcoholic fatty liver disease (NAFLD) is now the commonest reason patients are referred to a gastroenterologist for abnormal liver function tests (1). Results from the NHANES III database also suggest that up to 28% of patients have NAFLD and there is a strong association in such patients with obesity and type II diabetes mellitus (2). Clearly, impaired glucose intolerance and the presence of NAFLD are the unfortunate consequence of insulin resistance. Hence, it is concerning that NAFLD was not mentioned in this recent article. NAFLD, steatohepatitis, and disease progression will become the leading cause of chronic liver disease and cirrhosis in the United States. Given that the population of the Diabetes Prevention Program is highly selected for impaired glucose intolerance, it would be of great value to monitor this cohort for the incidence and prevalence of NAFLD. We would be curious to know whether the authors have data indicating an improvement in serum ALT values of their patients and whether or not metformin resulted in a significant improvement or not? While Diehl and colleagues found that metformin reversed steatosis in the ob/ob mouse model of obesity (3), they did not find sustained improvement in non- alcoholic steatohepatitis when the drug was tested in a small open-label clinical trial. (4). We, Gong and colleagues, recently identified an ALT isoenzyme (ALT2) that was highly expressed in the fatty livers of ob/ob mice (5), which also has a human homologue. We agree with the authors that multivariable models may be better predictors of various outcomes from the metabolic syndrome. Future studies should include examination of serum ALT or other predictors of NAFLD, particularly in subjects with impaired glucose tolerance. While it is reasonable to speculate, given the results from the lifestyle intervention arm, that reduction in waist circumference and increased activity is prudent advice for patients with NAFLD; the spiraling health-care costs that are a direct consequence of insulin resistance, requires urgent interdisciplinary use of the Diabetes Prevention Program to assess risk from NAFLD.
1. Neuschwander-Tetri BA, Caldwell SH. Nonalcoholic steatohepatitis: summary of an AASLD Single Topic Conference. Hepatology. 2003; 37:1202- 19. [PMID: 12717402] 2. Yu AS, Keeffe EB. Nonalcoholic fatty liver disease. Rev Gastroenterol Disord. 2002; 2:11-19. [PMID: 12122975] 3. Lin HZ, Yang SQ, Chuckaree C, Kuhajda F, Ronnet G, Diehl AM. Metformin reverses fatty liver disease in obese, leptin-deficient mice. Nat Med. 2000; 6:998-1003. [PMID: 10973319] 4. Nair S, Diehl AM, Wiseman M, Farr GH Jr, Perrillo RP. Metformin in the treatment of non-alcoholic steatohepatitis: a pilot open label trial. Aliment Pharmacol Ther. 2004; 20:23-8. [PMID: 15225167] 5. Jadhao SB, Yang RZ, Lin Q, Hu H, Anania FA, Shuldiner AR, Gong DW. Murine alanine aminotransferase: cDNA cloning, functional expression, and differential gene regulation in mouse fatty liver. Hepatology. 2004 May; 39:1297-302. [PMID: 15122758]
Vasilios G Athyros
May 5, 2005
Multitargeted treatment for metabolic syndrome
Multitargeted treatment for metabolic syndrome
TO THE EDITOR: Orchard et al  report that diet and exercise was more effective than metformin alone or neither intervention in preventing the development of the metabolic syndrome (MetS) in patients with impaired fasting glucose (IFG). Furthermore, patients in the diet and exercise group who had MetS at baseline were more likely to be free of MetS at the end of the 3.2 year follow up .
Is it possible to improve on these impressive results since, as mentioned by Orchard et al. , MetS is associated with a high risk of cardiovascular disease (CVD) ?
In a prospective, randomized, open label, intention-to-treat and parallel study  we followed up 300 non-diabetic patients with MetS, free of CVD at baseline, for a period of 12 months. Age- and gender- matched subjects without MetS (n=100) acted as controls. All patients received strict lifestyle advice (the same as in DPP ) and a stepwise- implemented drug treatment for hypertension (mainly ACE inhibitors and angiotensin II receptor blockers), IFG (metformin) and obesity (orlistat if BMI >30 Kg/m2). The patients were also randomly allocated to atorvastatin (n=100, 20 mg/day), micronized fenofibrate (n=100, 200 mg/day) or both drugs (n=100). After 12-months, 76% of patients no longer had MetS (46% only had one MetS diagnostic component). The remaining patients (24%) had two diagnostic factors less than at baseline. Since there is an association between the number of MetS features and CVD mortality [4,5] all participants probably benefited from the intervention. The secondary endpoint was the reduction in estimated (Framingham) 10-year CVD risk. This was 14.6% for all MetS patients at baseline and was significantly reduced in the atorvastatin group (to 6.4%), in the fenofibrate group (to 9.2%) and in the combination group (to 5.5%) (p<0.0001 for all vs baseline). The 10-year risk in the atorvastatin and combination groups was not different from that of the controls (5.0%).
We suggest that in subjects with MetS, multiple risk factor intervention reduces the number of MetS diagnostic criteria and the estimated CVD risk, more than diet and exercise alone.
1. Orchard TJ, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, et al for the Diabetes Prevention Program Research Group. The Effect of Metformin and Intensive Lifestyle Intervention on the Metabolic Syndrome: The Diabetes Prevention Program Randomized Trial. Ann Intern Med 2005;142: 611-9. 2. Alexander CM, Landsman PB, Teutsch SM, Haffner SM. NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older. Diabetes 2003;52:1210-4. 3. Athyros VG, Mikhailidis DP, Papageorgiou AA, Didangelos TP, Peletidou A, Kleta D, et al. Targeting vascular risk in patients with metabolic syndrome but without diabetes. Metabolism 2005 (in Press). 4. Ford ES. The metabolic syndrome and mortality from cardiovascular disease and all-causes: findings from the National Health and Nutrition Examination Survey II Mortality Study. Atherosclerosis 2004:173:307-12. 5. Klein BE, Klein R, Lee KE. Components of the metabolic syndrome and risk of cardiovascular disease and diabetes in Beaver Dam. Diabetes Care 2002:25:1790-4.
PRISCILLA S. SARINAS M.D. FACP
VA Palo Alto Health Care System and Stanford University
May 19, 2005
Sleep Related Breathing Disorders and the Metabolic Syndrome
To the Editor,
With respect to Trevor et al.(1) We would like to comment that several studies have also suggested that sleep-related breathing disorder (SRBD) is independently associated with insulin resistance, endothelial dysfunction, and hypertension (2). Furthermore, impairment in glucose tolerance seems to be related to the severity of oxygen desaturation associated with SRBD independently of age, gender, body mass index, and waist circumference and may be mediated by elevated release of epinephrine. (2, 3) These abnormalities are corrected with positive pressure ventilation.(4) Thus, sleep is a "missing link" that should be included as a variable of the syndrome-X.(5) Notwithstanding the omission of sleep as an important variable, the demonstration that exercise and diet are superior to metformin in the resolution of the metabolic syndrome is counter to the orthodox strategies adopted in the treatment of syndromes such as diabetes or hypertension that are clinically considered to have 'well defined' abnormalities. In vitro evidence suggests that hypertension, and insulin resistance are very complex disorders with multiple metabolic derangements whose measurement is poorly served by the contemporary indices used to gauge them such as blood sugar or blood pressure. It seems logical that intrinsic biochemical counteractive measures provoked by exercise or balanced nutritional homeostasis would better counteract the abnormalities thought to be operational in these syndromes. As has been historically contended, the absence of these syndromes in agrarian societies supports the conclusion that syndromes of insulin resistance, obesity and acquired hyperlipidemia are a reflection of the modern distortion of the organism-environmental equilibrium attained throughout human evolution in which energy utilization was balanced with physiological demands for survival. Thus, exercise, control of caloric utilization, and sleep may fall in the realm of processes that coax intrinsic bio-physiological machinery to balance protein-energy utilization. In consonance with the findings of this important study we support an integrated and multifaceted approach to the treatment of the metabolic syndromes. This study has extensive ramifications with regards to managing insulin resistance, hypertension, and obesity and requires careful scrutiny.
1. Trevor J. Orchard, Marinella Temprosa, Ronald Goldberg, Steven Haffner, Robert Ratner, Santica Marcovina, Sarah Fowler for the Diabetes Preventi Program Research Group The Effect of Metformin and Intensive Lifestyle Intervention on the Metabolic Syndrome: The Diabetes Prevention Program Randomized Trial. Ann Intern Med. 2005; 142: 611 - 619.
2. Punjabi NM, Shahar E, Redline S, Gottlieb DJ, Givelber R, Resnick HE; Sleep Heart Health Study Investigators.: Sleep-disordered breathing, glucose intolerance, and insulin resistance: the Sleep Heart Health Study. Am J Epidemiol. 2004; 160(6):521-30.
3. Oltmanns KM, Gehring H, Rudolf S, Schultes B, Rook S, Schweiger U, Born J, Fehm HL, Peters A. Hypoxia causes glucose intolerance in humans. Am J Respir Crit Care Med. 2004 ;169(11):1231-7. Epub 2004 Mar 24.
4. Babu AR, Herdegen J, Fogelfeld L, Shott S, Mazzone T. Type 2 diabetes, glycemic control, and continuous positive airway pressure in obstructive sleep apnea. Arch Intern Med. 2005;165(4):447-52.
5. Coughlin SR, Mawdsley L, Mugarza JA, Calverley PM, Wilding JP. Obstructive sleep apnoea is independently associated with an increased prevalence of metabolic syndrome. Eur Heart J. 2004 ;25(9):735-41.
Trevor J Orchard
Institute for Biostatistics, George Washington University
June 16, 2005
We thank Drs Sarinas, Dube and Anania for their interesting letters concerning Sleep Related Breathing Disorders (SRBD) and Fatty Liver, respectively, as they relate to the Metabolic Syndrome. In terms of SRBD unfortunately we have no specific data to provide, but agree this is an interesting field for future study. We do however, have data concerning liver enzymes. While these were not provided in our current report, as they do not form part of the NCEP definition, we consider this topic so relevant and important that a full, separate, paper is in preparation to address this whole issue and both the impact on, and associations, of our interventions on these measures.
Yours sincerely ,
Trevor J Orchard, Marinella Temprosa and Robert Ratner. for the Diabetes Prevention Program
Orchard TJ, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, et al. The Effect of Metformin and Intensive Lifestyle Intervention on the Metabolic Syndrome: The Diabetes Prevention Program Randomized Trial. Ann Intern Med. 2005;142:611-619. doi: 10.7326/0003-4819-142-8-200504190-00009
Download citation file:
Published: Ann Intern Med. 2005;142(8):611-619.
Cardiology, Coronary Risk Factors, Diabetes, Endocrine and Metabolism, Obesity.
Results provided by:
Copyright © 2017 American College of Physicians. All Rights Reserved.
Print ISSN: 0003-4819 | Online ISSN: 1539-3704
Conditions of Use
This PDF is available to Subscribers Only