ASSESSING THE RISK OF NON-ALCOHOLIC FATTY LIVER DISEASE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS BY THE COMBINED PATTERN OF RETINOLBINDING PROTEIN-4, HIGH MOLECULAR WEIGHT ADIPONECTIN AND BODY MASS INDEX

Authors

  • Atramentova L. A. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Kravchun N. A. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Poltorak V. V. 1SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Gorshunska M. Y. Kharkiv Postgraduate Medical Academy
  • Jаnsen E. National Institute for Public Health and the Environment, Bilthoven, the Netherland
  • Krasova N. S. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Leshchenko Zh. A. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Gladkih A. I. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Tyzhnenko T. V. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Plohotnichenko O. A. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv;
  • Opaleiko Y. A. 1SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv
  • Pochernyaev A. K. SI «V. Danilevsky Institute for Endocrine Pathology Problems of the NAMS of Ukraine», Kharkiv;
  • Dunaeva I. P. Kharkiv Postgraduate Medical Academy

DOI:

https://doi.org/10.21856/j-PEP.2015.3.02

Keywords:

retinol-binding protein 4, type 2 diabetes mellitus, nonalcoholic fatty liver disease, discriminant analysis.

Abstract

The diagnostic model to highlight the high-risk groups of nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus by the level of retinol-binding protein-4, high molecular weight adiponectin and body mass index using discriminant analysis was developed.

References

IDF Diabetes Atlas, Sixth Edition, 2014, available at: /http://www.idf.org /sites /default /files /Atlasposter-2014_EN.pdf.

Sharabi Y, Eldad A. Am J Med 2000; 109:171.

Padagala M, Zein CO, McCullough AJ. Clin Liver Dis 2009; 13:591-606.

Adams LA, Feldstein AE. J Digestive Dis 2011; 12:10-16.

Janes CH, Lindor KD. Ann Intern Med 1993; 118:96-98.

Maximos M, Bril F, Portillo SP, et al. Hepatology 2014; 61:153-160.

Bugianesi E, Gastaldelli A, Vanni E, et al. Diabetologia 2005; 48:634-642.

Iacobellis A, Marcellini M, Andriulli A, et al. World J Gastroenterol 2006; 12:7821-7825.

Wang Y, Zhou M, Lam KSL, Xu A. Arq Bras Endocrinol Metab 2009; 53:201-212.

Byrne CD, Targher G. J Hepatology 2015; 62:S47-S64.

Jarrar MH, Baranova A, Collantes R, et al. Aliment Pharmacol Ther 2008; 27:412-421.

Ouchi N, Kihara S, Arita Y, et al. Circulation 2000; 102:1296-1230.

Aimin Xu, Wang Yu, Keshaw H, et al. J Clin Invest 2003; 112:91-100.

Finelli C, Tarantino G. World J Gastroenterol 2013; 19:802-812.

Shehzad A, Iqbal W, Shehzad O, Lee YS. Hormones 2012:118-120.

Pagano C, Soardo G, Esposito W, et al. Eur J Endocrinol 2005; 152:113-118.

Shimizu A, Takamura T, Matsuzawa N, et al. Metab Clin Exp 2007; 56(11):1478-1485.

Liu Y, Retnakaran R, Hanley A, et al. J Clin Endocrinol Metab 2007; 92(11):4313-4318.

Pajvani UB, Du X, Combs TP, et al. J Biol Chem 2003; 278:9073-9085.

Waki H, Yamauchi T, Kamon J, et al. J Biol Chem 2003; 278:40352-40363.

Wu H, Jia W, Bao Y, et al. Diab Res Clin Pract 2008; 79:185-190.

Romanowska A, Lebensztejn DM, Skiba E, et al. Acta Biochim Pol 2011; 58:35-38.

Schina M, Koskinas J, Tiniakos D, et al. Hepatol Res 2009; 39:972-978.

Matthews DR, Hoske JP, Rudensk AS, et al. Diabetologia 1985; 28:412-419.

Katz A, Nambi SS, Mather K, et al. J Clin Endocr Metab 2000; 85:2402-2410.

Halafjan AA. STATISTICA 6. Statisticheskij analiz dannyh, Moskva, 2007: 512 p.

Field A. Discovering Statistics Using SPSS, SAGE Publications, 2005: 781 p.

Banerdzhi A. Medicinskaja statistika ponjatnym jazykom, Moskva, 2007: 288 hp

Folsom AR, Chambers LE, Ballantyne CM. Arch Intern Med 2006; 166:1368-1373.

Bessokirnaja GP. Sociologija 2003; 16:25-35.

Kim HC, Greenland P, Rossouw JE, et al. J Am Coll Cardiol 2010; 55:2080-2091.

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Published

2021-08-17

How to Cite

Atramentova, L. A. ., Kravchun, N. A. ., Poltorak, V. V. ., Gorshunska, M. Y. ., Jаnsen E. ., Krasova, N. S. ., Leshchenko, . Z. A. ., Gladkih, A. I. ., Tyzhnenko, T. V. ., Plohotnichenko, O. A. ., Opaleiko, Y. A. ., Pochernyaev, A. K., & Dunaeva, I. P. (2021). ASSESSING THE RISK OF NON-ALCOHOLIC FATTY LIVER DISEASE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS BY THE COMBINED PATTERN OF RETINOLBINDING PROTEIN-4, HIGH MOLECULAR WEIGHT ADIPONECTIN AND BODY MASS INDEX. Problems of Endocrine Pathology, 53(3), 15-23. https://doi.org/10.21856/j-PEP.2015.3.02

Issue

Section

CLINICAL ENDOCRINOLOGY

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