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Efficacy of the Omega-3 Index in predicting non-alcoholic fatty liver disease in overweight and obese adults: a pilot study

  • Helen M. Parker (a1) (a2), Helen T. O’Connor (a1) (a2), Shelley E. Keating (a1) (a2), Jeffrey S. Cohn (a3), Manohar L. Garg (a4), Ian D. Caterson (a5), Jacob George (a6) and Nathan A. Johnson (a1) (a2)...

Abstract

Non-alcoholic fatty liver disease (NAFLD) is an independent predictor of CVD in otherwise healthy individuals. Low n-3 PUFA intake has been associated with the presence of NAFLD; however, the relationship between a biomarker of n-3 status – the Omega-3 Index – and liver fat is yet to be elucidated. A total of eighty overweight adults (fifty-six men) completed the anthropometric and biochemical measurements, including the Omega-3 Index, and underwent proton magnetic resonance spectroscopy assessment of liver fat. Bivariate correlations and multiple regression analyses were performed with reference to prediction of liver fat percentage. The mean Omega-3 Index was high in both NAFLD (intrahepatic lipid concentration≥5·5 %) and non-NAFLD groups. The Omega-3 Index, BMI, waist circumference, glucose, insulin, TAG, high-sensitive C-reactive protein (hsCRP) and alanine aminotransferase (ALT) were positively correlated, and HDL and erythrocyte n-6:n-3 ratio negatively correlated with liver fat concentration. Regression analysis found that simple anthropometric and demographic variables (waist, age) accounted for 31 % of the variance in liver fat and the addition of traditional cardiometabolic blood markers (TAG, HDL, hsCRP and ALT) increased the predictive power to 43 %. The addition of the novel erythrocyte fatty acid variable (Omega-3 Index) to the model only accounted for a further 3 % of the variance (P=0·049). In conclusion, the Omega-3 Index was associated with liver fat concentration but did not improve the overall capacity of demographic, anthropometric and blood markers to predict NAFLD.

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Corresponding author

* Corresponding author: N. A. Johnson, fax 9351 9204, email nathan.johnson@sydney.edu.au

References

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1. Browning, JD, Szczepaniak, LS, Dobbins, R, et al. (2004) Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology 40, 13871395.
2. Bellentani, S, Bedogni, G, Miglioli, L, et al. (2004) The epidemiology of fatty liver. Eur J Gastroenterol Hepatol 16, 10871093.
3. Angulo, P (2007) Obesity and nonalcoholic fatty liver disease. Nutr Rev 65, S57S63.
4. Szczepaniak, LS, Nurenberg, P, Leonard, D, et al. (2005) Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 288, E462E468.
5. Neuschwander-Tetri, BA & Caldwell, SH (2003) Nonalcoholic steatohepatitis: summary of an AASLD Single Topic Conference. Hepatology 37, 12021219.
6. Wong, VWS, Wong, GLH, Choi, PCL, et al. (2010) Disease progression of non-alcoholic fatty liver disease: a prospective study with paired liver biopsies at 3 years. Gut 59, 969974.
7. Krawczyk, M, Bonfrate, L & Portincasa, P (2010) Nonalcoholic fatty liver disease. Best Pract Res Clin Gastroenterol 24, 695708.
8. Starley, BQ, Calcagno, CJ & Harrison, SA (2010) Nonalcoholic fatty liver disease and hepatocellular carcinoma: a weighty connection. Hepatology 51, 18201832.
9. Ali, R & Cusi, K (2009) New diagnostic and treatment approaches in non-alcoholic fatty liver disease (NAFLD). Ann Med 41, 265278.
10. Mofrad, P, Contos, MJ, Haque, M, et al. (2003) Clinical and histologic spectrum of nonalcoholic fatty liver disease associated with normal ALT values. Hepatology 37, 12861292.
11. Targher, G & Arcaro, G (2007) Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis 191, 235240.
12. Cortez-Pinto, H, Camilo, ME, Baptista, A, et al. (1999) Non-alcoholic fatty liver: another feature of the metabolic syndrome? Clin Nutr 18, 353358.
13. Dixon, JB, Bhathal, PS, Hughes, NR, et al. (2004) Nonalcoholic fatty liver disease: improvement in liver histological analysis with weight loss. Hepatology 39, 16471654.
14. Franz, MJ, Vanwormer, JJ, Crain, AL, et al. (2007) Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc 107, 17551767.
15. Mahady, SE, Webster, AC, Walker, S, et al. (2011) The role of thiazolidinediones in non-alcoholic steatohepatitis – a systematic review and meta analysis. J Hepatol 55, 13831390.
16. Parker, HM, Johnson, NA, Burdon, CA et al. (2012) Omega-3 supplementation and non-alcoholic fatty liver disease: a systematic review and meta-analysis. J Hepatol 56, 944951.
17. Harris, WS (2007) Omega-3 fatty acids and cardiovascular disease: a case for omega-3 index as a new risk factor. Pharmacol Res 55, 217223.
18. Harris, WS, Varvel, SA, Pottala, JV, et al. (2013) Comparative effects of an acute dose of fish oil on omega-3 fatty acid levels in red blood cells versus plasma: implications for clinical utility. J Clin Lipidol 7, 433440.
19. Harris, WS & Von Schacky, C (2004) The Omega-3 Index: a new risk factor for death from coronary heart disease? Prev Med 39, 212220.
20. Alberti, K, Zimmet, P & Shaw, J (2006) Metabolic syndrome – a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med 23, 469480.
21. Lepage, G & Roy, CC (1986) Direct transesterification of all classes of lipids in a one-step reaction. J Lipid Res 27, 114120.
22. Johnson, NA, Walton, DW, Sachinwalla, T, et al. (2008) Noninvasive assessment of hepatic lipid composition: advancing understanding and management of fatty liver disorders. Hepatology 47, 15131523.
23. Pepe, S, Marasco, SF, Haas, SJ, et al. (2007) Coenzyme Q10 in cardiovascular disease. Mitochondrion 7, Suppl., S154S167.
24. Positano, V, Gastaldelli, A, Sironi, AM, et al. (2004) An accurate and robust method for unsupervised assessment of abdominal fat by MRI. J Magn Reson Imaging 20, 684689.
25. Ryan, MC, Itsiopoulos, C, Thodis, T, et al. (2013) The Mediterranean diet improves hepatic steatosis and insulin sensitivity in individuals with non-alcoholic fatty liver disease. J Hepatol 59, 138143.
26. Szczepaniak, LS, Nurenberg, P, Leonard, D, et al. (2005) Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 288, E462E468.
27. Cleeman, JI, Grundy, SM, Becker, D, et al. (2001) 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). J Am Med Assoc 285, 24862497.
28. Araya, J, Rodrigo, R, Videla, LA, et al. (2004) Increase in long-chain polyunsaturated fatty acid n-6/n-3 ratio in relation to hepatic steatosis in patients with non-alcoholic fatty liver disease. Clin Sci 106, 635643.
29. Zelber-Sagi, S, Nitzan-Kaluski, D, Goldsmith, R, et al. (2007) Long term nutritional intake and the risk for non-alcoholic fatty liver disease (NAFLD): a population based study. J Hepatol 47, 711717.
30. Cortez-Pinto, H, Jesus, L, Barros, H, et al. (2006) How different is the dietary pattern in non-alcoholic steatohepatitis patients? Clin Nutr 25, 816823.
31. Jump, DB (2008) N-3 polyunsaturated fatty acid regulation of hepatic gene transcription. Curr Opin Lipidol 19, 242247.
32. Jump, DB (2011) Fatty acid regulation of hepatic lipid metabolism. Curr Opin Clin Nutr Metab Care 14, 115120.
33. Sampath, H & Ntambi, JM (2005) Polyunsaturated fatty acid regulation of genes of lipid metabolism. Annu Rev Nutr 25, 317340.
34. von Schacky, C (2014) Omega-3 index and cardiovascular health. Nutrients 6, 799814.

Keywords

Efficacy of the Omega-3 Index in predicting non-alcoholic fatty liver disease in overweight and obese adults: a pilot study

  • Helen M. Parker (a1) (a2), Helen T. O’Connor (a1) (a2), Shelley E. Keating (a1) (a2), Jeffrey S. Cohn (a3), Manohar L. Garg (a4), Ian D. Caterson (a5), Jacob George (a6) and Nathan A. Johnson (a1) (a2)...

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