Skip to main content

Advertisement

Log in

Leptin cut-off values for determination of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007)

  • Original Article
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

Leptin is strongly contributed to the clustering of metabolic syndrome (MetS) components and potentially can be regarded as a single predictor of MetS. This population-based study, for the first time, reports the diagnostic accuracy of different leptin cut-points for determining MetS. Further, the current study compares the predictive ability of the appropriate threshold of leptin with insulin resistance. Data of the individuals without history of known diabetes mellitus, aged 25–64 years, from the third national surveillance of risk factors of non-communicable diseases (SuRFNCD-2007) were analyzed. MetS was defined due to either adult treatment panel III (ATPIII) or the modified international diabetes federation (IDF) criteria. Receiver-operating characteristic (ROC) curves were depicted to define cut-off of serum leptin, using the maximum Youden index and the shortest distance methods. Further, the values of leptin cut-offs in prediction of MetS were compared with those of insulin resistance (defined as homeostasis model assessment of insulin resistance >1.775). In men, the optimal cut-offs of leptin for IDF- and ATPIII-defined MetS were 3.6 ng/ml (positive predictive value, PPV: 56.5%; negative predictive value, NPV: 72.7%) and 4.1 ng/ml (PPV: 49.6%; NPV: 78.1%), respectively. In women, the optimal threshold was equal to 11.0 ng/ml (PPV: 53.8%; NPV: 73.0% for IDF criteria and PPV: 60.1%; NPV: 64.9% for ATPIII criteria). The diagnostic accuracy of these values in identifying MetS was similar to that of insulin resistance. Therefore, leptin is comparable to insulin resistance in identifying MetS and can be used as single predictor of MetS.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Abbreviations

ATPIII:

Adult treatment panel III

AUC:

Area under the ROC curve

CDC:

Center for disease control

HDL-C:

High-density lipoprotein cholesterol

HOMA-IR:

Homeostasis model assessment of insulin resistance

IDF:

International diabetes federation

MetS:

Metabolic syndrome

NLR:

Negative likelihood ratio

NPV:

Negative predictive value

PLR:

Positive likelihood ratio

PPV:

Positive predictive value

ROC curve:

Receiver operating characteristics curve

SuRFNCD:

Surveillance of risk factors of non-communicable diseases

TG:

Triglycerides

References

  1. D.A. de Luis, M.G. Sagrado, R. Conde, R. Aller, O. Izaola, Relation of visfatin to cardiovascular risk factors and adipocytokines in patients with impaired fasting glucose. Nutrition (2009) [Epub ahead of print]

  2. P.J. Havel, Role of adipose tissue in body-weight regulation: mechanisms regulating leptin production and energy balance. Proc. Nutr. Soc. 59, 359–371 (2000)

    Article  PubMed  CAS  Google Scholar 

  3. M.L. Correia, K. Rahmouni, Role of leptin in the cardiovascular and endocrine complications of metabolic syndrome. Diabetes Obes. Metab. 8, 603–610 (2006)

    Article  PubMed  CAS  Google Scholar 

  4. F. Leyva, I.F. Godsland, M. Ghatei, A.J. Proudler, S. Aldis, C. Walton, S. Bloom, J.C. Stevenson, Hyperleptinemia as a component of a metabolic syndrome of cardiovascular risk. Arterioscler. Thromb. Vasc. Biol. 18, 928–933 (1998)

    Article  PubMed  CAS  Google Scholar 

  5. P.Z. Zimmet, V.R. Collins, M.P. de Courten, A.M. Hodge, G.R. Collier, G.K. Dowse, K.G. Alberti, J. Tuomilehto, F. Hemraj, H. Gareeboo, P. Chitson, D. Fareed, Is there a relationship between leptin and insulin sensitivity independent of obesity? A population-based study in the Indian Ocean nation of Mauritius Mauritius NCD Study Group. Int. J. Obes. Relat. Metab. Disord. 22, 171–177 (1998)

    Article  PubMed  CAS  Google Scholar 

  6. A. Esteghamati, O. Khalilzadeh, M. Anvari, A. Rashidi, M. Mokhtari, M. Nakhjavani, Association of serum leptin levels with homeostasis model assessment-estimated insulin resistance and metabolic syndrome: the key role of central obesity. Metab. Syndr. Relat. Disord. 7, 447–452 (2009)

    Article  PubMed  CAS  Google Scholar 

  7. P. Welsh, H.M. Murray, B.M. Buckley, A.J. de Craen, I. Ford, J.W. Jukema, P.W. Macfarlane, C.J. Packard, D.J. Stott, R.G. Westendorp, J. Shepherd, N. Sattar, Leptin predicts diabetes but not cardiovascular disease: results from a large prospective study in an elderly population. Diabetes Care 32, 308–310 (2009)

    Article  PubMed  Google Scholar 

  8. S. Soderberg, P. Zimmet, J. Tuomilehto, P. Chitson, H. Gareeboo, K.G. Alberti, J.E. Shaw, Leptin predicts the development of diabetes in Mauritian men, but not women: a population-based study. Int. J. Obes. (Lond) 31, 1126–1133 (2007)

    Article  CAS  Google Scholar 

  9. A.M. Wallace, A.D. McMahon, C.J. Packard, A. Kelly, J. Shepherd, A. Gaw, N. Sattar, Plasma leptin and the risk of cardiovascular disease in the west of Scotland coronary prevention study (WOSCOPS). Circulation 104, 3052–3056 (2001)

    Article  PubMed  CAS  Google Scholar 

  10. S.M. Grundy, J.I. Cleeman, S.R. Daniels, K.A. Donato, R.H. Eckel, B.A. Franklin, D.J. Gordon, R.M. Krauss, P.J. Savage, S.C. Smith Jr., J.A. Spertus, F. Costa, Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112, 2735–2752 (2005)

    Article  PubMed  Google Scholar 

  11. J.B. Meigs, Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors. Am. J. Epidemiol. 152, 908–911 (2000)

    Article  PubMed  CAS  Google Scholar 

  12. J.E. Yun, H. Kimm, J. Jo, S.H. Jee, Serum leptin is associated with metabolic syndrome in obese and nonobese Korean populations. Metabolism 59, 424–429 (2010)

    Article  PubMed  CAS  Google Scholar 

  13. M. Pladevall, B. Singal, L.K. Williams, C. Brotons, H. Guyer, J. Sadurni, C. Falces, M. Serrano-Rios, R. Gabriel, J.E. Shaw, P.Z. Zimmet, S. Haffner, A single factor underlies the metabolic syndrome: a confirmatory factor analysis. Diabetes Care 29, 113–122 (2006)

    Article  PubMed  Google Scholar 

  14. A.M. Hodge, E.J. Boyko, M. de Courten, P.Z. Zimmet, P. Chitson, J. Tuomilehto, K.G. Alberti, Leptin and other components of the Metabolic Syndrome in Mauritius—a factor analysis. Int. J. Obes. Relat. Metab. Disord. 25, 126–131 (2001)

    Article  PubMed  CAS  Google Scholar 

  15. M. Zitzmann, J. Gromoll, A. von Eckardstein, E. Nieschlag, The CAG repeat polymorphism in the androgen receptor gene modulates body fat mass and serum concentrations of leptin and insulin in men. Diabetologia 46, 31–39 (2003)

    PubMed  CAS  Google Scholar 

  16. A. Esteghamati, A. Zandieh, O. Khalilzadeh, A. Morteza, A. Meysamie, M. Nakhjavani, M.M. Gouya, Clustering of leptin and physical activity with components of metabolic syndrome in Iranian population: an exploratory factor analysis. Endocrine 38, 206–213 (2010)

    Article  PubMed  CAS  Google Scholar 

  17. P. Zimmet, E.J. Boyko, G.R. Collier, M. de Courten, Etiology of the metabolic syndrome: potential role of insulin resistance, leptin resistance, and other players. Ann. N. Y. Acad. Sci. 892, 25–44 (1999)

    Article  PubMed  CAS  Google Scholar 

  18. S.B. Patel, G.P. Reams, R.M. Spear, R.H. Freeman, D. Villarreal, Villarreal, Leptin: linking obesity, the metabolic syndrome, and cardiovascular disease. Curr. Hypertens. Rep. 10, 131–137 (2008)

    Article  PubMed  CAS  Google Scholar 

  19. S.P. Kalra, Disruption in the leptin-NPY link underlies the pandemic of diabetes and metabolic syndrome: new therapeutic approaches. Nutrition 24, 820–826 (2008)

    Article  PubMed  CAS  Google Scholar 

  20. A. Katsuki, Y. Sumida, E.C. Gabazza, S. Murashima, M. Furuta, R. Araki-Sasaki, Y. Hori, Y. Yano, Y. Adachi, Homeostasis model assessment is a reliable indicator of insulin resistance during follow-up of patients with type 2 diabetes. Diabetes Care 24, 362–365 (2001)

    Article  PubMed  CAS  Google Scholar 

  21. T.M. Wallace, D.R. Matthews, The assessment of insulin resistance in man. Diabet. Med. 19, 527–534 (2002)

    Article  PubMed  CAS  Google Scholar 

  22. T.M. Wallace, J.C. Levy, D.R. Matthews, Use and abuse of HOMA modeling. Diabetes Care 27, 1487–1495 (2004)

    Article  PubMed  Google Scholar 

  23. A. Esteghamati, A. Meysamie, O. Khalilzadeh, A. Rashidi, M. Haghazali, F. Asgari, M. Kamgar, M.M. Gouya, M. Abbasi, Third national Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007) in Iran: methods and results on prevalence of diabetes, hypertension, obesity, central obesity, and dyslipidemia. BMC Public Health 9, 167 (2009)

    Article  PubMed  Google Scholar 

  24. D.R. Matthews, J.P. Hosker, A.S. Rudenski, B.A. Naylor, D.F. Treacher, R.C. Turner, Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412–419 (1985)

    Article  PubMed  CAS  Google Scholar 

  25. S. Genuth, K.G. Alberti, P. Bennett, J. Buse, R. Defronzo, R. Kahn, J. Kitzmiller, W.C. Knowler, H. Lebovitz, A. Lernmark, D. Nathan, J. Palmer, R. Rizza, C. Saudek, J. Shaw, M. Steffes, M. Stern, J. Tuomilehto, P. Zimmet, Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care 26, 3160–3167 (2003)

    Article  PubMed  Google Scholar 

  26. A. Esteghamati, M. Abbasi, A. Rashidi, A. Meysamie, O. Khalilzadeh, M. Haghazali, F. Asgari, M. Nakhjavani, Optimal waist circumference cut-offs for the diagnosis of metabolic syndrome in Iranian adults: results of the third national survey of risk factors of non-communicable diseases (SuRFNCD-2007). Diabet. Med. 26, 745–746 (2009)

    Article  PubMed  CAS  Google Scholar 

  27. International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome [article online]. 2006. http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf. Accessed 10 August 2010

  28. A. Esteghamati, H. Ashraf, O. Khalilzadeh, A. Zandieh, M. Nakhjavani, A. Rashidi, M. Haghazali, F. Asgari, Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutr. Metab. (Lond.) 7, 26 (2010)

    Article  Google Scholar 

  29. P. Quehenberger, M. Exner, R. Sunder-Plassmann, K. Ruzicka, C. Bieglmayer, G. Endler, C. Muellner, W. Speiser, O. Wagner, Leptin induces endothelin-1 in endothelial cells in vitro. Circ. Res. 90, 711–718 (2002)

    Article  PubMed  CAS  Google Scholar 

  30. M. Carlyle, O.B. Jones, J.J. Kuo, J.E. Hall, Chronic cardiovascular and renal actions of leptin: role of adrenergic activity. Hypertension 39, 496–501 (2002)

    Article  PubMed  CAS  Google Scholar 

  31. W.G. Haynes, D.A. Morgan, S.A. Walsh, A.L. Mark, W.I. Sivitz, Receptor-mediated regional sympathetic nerve activation by leptin. J. Clin. Invest. 100, 270–278 (1997)

    Article  PubMed  CAS  Google Scholar 

  32. O. Ukkola, Y.A. Kesaniemi, Leptin and high-sensitivity C-reactive protein and their interaction in the metabolic syndrome in middle-aged subjects. Metabolism 56, 1221–1227 (2007)

    Article  PubMed  CAS  Google Scholar 

  33. Y. Ikeda, T. Suehiro, T. Nakamura, Y. Kumon, K. Hashimoto, Clinical significance of the insulin resistance index as assessed by homeostasis model assessment. Endocr. J. 48, 81–86 (2001)

    Article  PubMed  Google Scholar 

  34. M.J. Kelly, F.D. Dunstan, K. Lloyd, D.L. Fone, Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods. BMC Psychiatry 8, 10 (2008)

    Article  PubMed  Google Scholar 

Download references

Conflicts of interest

The authors declare no conflicts of interests.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alireza Esteghamati.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Esteghamati, A., Zandieh, A., Zandieh, B. et al. Leptin cut-off values for determination of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Endocrine 40, 117–123 (2011). https://doi.org/10.1007/s12020-011-9447-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12020-011-9447-4

Keywords

Navigation