Literature DB >> 28506114

The Fatty Liver Index (FLI) Relates to Diabetes-Specific Parameters and an Adverse Lipid Profile in a Cohort of Nondiabetic, Dyslipidemic Patients.

Michael Leutner1,2, Christian Göbl3,2, Oliver Schlager4,2, Silvia Charwat-Resl4,2, Alice Wielandner5,2, Eleonora Howorka1,2, Marlies Prünner1,2, Latife Bozkurt6,2, Katharina Maruszczak1,2, Hacer Geyik1,2, Helmut Prosch5,2, Giovanni Pacini7,2, Alexandra Kautzky-Willer1,2.   

Abstract

BACKGROUND: Patients with hyperlipidemia are at high risk for developing a fatty liver. The fatty liver index (FLI) is a noninvasive and well-established method for the estimation of a fatty liver. However, little is known about the metabolic characterization of nondiabetic treated patients with hyperlipidemia who have different risk levels for a fatty liver.
METHODS: In this study, 74 nondiabetic patients with hyperlipidemia were divided into 3 groups according to their fatty liver index. A comparison of metabolic characteristics was done. These characteristics included intima media thickness (IMT) and nutritional habits, which were further divided into FLI subgroups with low, intermediate, and high risk for a fatty liver.
RESULTS: Patients with hyperlipidemia, with a high risk for a fatty liver (FLI ≥ 60), had subclinical elevations in parameters of carbohydrate metabolism (insulin, fasting plasma glucose, C-peptide) including a higher insulin resistance (quantitative insulin sensitivity check index, QUICKI) compared to lower FLI groups. These patients also presented a higher risk for a metabolic syndrome (p = 0.018), as well as an adverse lipid profile (e.g., high-density lipoprotein [HDL] cholesterol, triglycerides [TG]-HDL ratio). FLI group 3 was characterized by significantly lower levels of omega-3 fatty acids (p = 0.048).
CONCLUSION: The fatty liver index relates to diabetes-specific parameters and an adverse lipid profile and is an appropriate index for risk evaluation of metabolic syndrome.

Entities:  

Keywords:  dyslipidemia; intima media thickness; metabolic syndrome; nonalcoholic fatty liver disease; nutrition; type 2 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28506114     DOI: 10.1080/07315724.2016.1262802

Source DB:  PubMed          Journal:  J Am Coll Nutr        ISSN: 0731-5724            Impact factor:   3.169


  4 in total

1.  Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine.

Authors:  Orit Goldman; Ofir Ben-Assuli; Ori Rogowski; David Zeltser; Itzhak Shapira; Shlomo Berliner; Shira Zelber-Sagi; Shani Shenhar-Tsarfaty
Journal:  J Med Syst       Date:  2021-01-11       Impact factor: 4.460

2.  Fatty liver index is a predictor of incident diabetes in patients with prediabetes: The PREDAPS study.

Authors:  Josep Franch-Nadal; Llorenç Caballeria; Manel Mata-Cases; Didac Mauricio; Carolina Giraldez-García; José Mancera; Albert Goday; Xavier Mundet-Tudurí; Enrique Regidor
Journal:  PLoS One       Date:  2018-06-01       Impact factor: 3.240

3.  Effects of different exercise modalities on novel hepatic steatosis indices in overweight women with type 2 diabetes.

Authors:  Ebrahim Banitalebi; Mohammad Faramarzi; Samira Nasiri; Majid Mardaniyan; Vahid Rabiee
Journal:  Clin Mol Hepatol       Date:  2019-05-30

4.  Structural characterization and hypolipidemic activities of purified stigma maydis polysaccharides.

Authors:  Wenwen Deng; Xia Yang; Yuan Zhu; Jiangnan Yu; Ximing Xu
Journal:  Food Sci Nutr       Date:  2019-07-03       Impact factor: 2.863

  4 in total

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