Literature DB >> 27055973

Nonalcoholic fatty liver disease severity is associated with the ratios of total cholesterol and triglycerides to high-density lipoprotein cholesterol.

Kuan-Ta Wu1, Po-Lin Kuo2, Shih-Bin Su3, Yi-Yu Chen4, Ming-Lum Yeh5, Ching-I Huang5, Jeng-Fu Yang6, Chia-I Lin7, Meng-Hsuan Hsieh7, Ming-Yen Hsieh8, Chung-Feng Huang9, Wen-Yi Lin10, Ming-Lung Yu11, Chia-Yen Dai12, Hsien-Yi Wang13.   

Abstract

BACKGROUND: Limited data support the notion that lipid ratios are risk factors for nonalcoholic fatty liver disease (NAFLD). We evaluated the association between lipid ratios and NAFLD.
METHODS: This was a large population, cross-sectional, retrospective study. Data on NAFLD severity, blood pressure, fasting glucose, total cholesterol (TC), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C) levels were obtained from 44,767 examinees at single health checkup center. The enrollees were stratified into four subgroups based on their TC/HDL-C and TG/HDL-C ratios. We used multivariate analyses to evaluate the odds between lipid ratios and NAFLD.
RESULTS: The prevalence rate of fatty liver in this study was 53.76%. In the baseline subgroup with the lowest TC/HDL-C and TG/HDL-C ratios, the prevalence of NAFLD, hypertension, and diabetes was lower than that of the other three subgroups. Patients with higher lipid ratios had a significantly greater risk for advanced NAFLD.
CONCLUSIONS: Adults with high TC/HDL-C or TG/HDL-C ratios, or both, have a greater risk for NAFLD, especially advanced NAFLD.
Copyright © 2016 National Lipid Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetes; Hepatic steatosis; Hypertension; Nonalcoholic fatty liver disease (NAFLD); Ultrasound

Mesh:

Substances:

Year:  2016        PMID: 27055973     DOI: 10.1016/j.jacl.2015.12.026

Source DB:  PubMed          Journal:  J Clin Lipidol        ISSN: 1876-4789            Impact factor:   4.766


  25 in total

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2.  Immune cell screening of a nanoparticle library improves atherosclerosis therapy.

Authors:  Jun Tang; Samantha Baxter; Arjun Menon; Amr Alaarg; Brenda L Sanchez-Gaytan; Francois Fay; Yiming Zhao; Mireille Ouimet; Mounia S Braza; Valerie A Longo; Dalya Abdel-Atti; Raphael Duivenvoorden; Claudia Calcagno; Gert Storm; Sotirios Tsimikas; Kathryn J Moore; Filip K Swirski; Matthias Nahrendorf; Edward A Fisher; Carlos Pérez-Medina; Zahi A Fayad; Thomas Reiner; Willem J M Mulder
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-17       Impact factor: 11.205

3.  Type 2 Diabetes Mellitus and Simple Glucose Metabolism Parameters may Reliably Predict Nonalcoholic Fatty Liver Disease Features.

Authors:  Everton Cazzo; Laísa Simakawa Jimenez; Martinho Antonio Gestic; Murillo Pimentel Utrini; Fábio Henrique Mendonça Chaim; Felipe David Mendonça Chaim; José Carlos Pareja; Elinton Adami Chaim
Journal:  Obes Surg       Date:  2018-01       Impact factor: 4.129

4.  Comparison of the diagnostic value between triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio in metabolic-associated fatty liver disease patients: a retrospective cross-sectional study.

Authors:  Zhi Liu; He He; Yuzhao Dai; Lidan Yang; Shenling Liao; Zhenmei An; Shuangqing Li
Journal:  Lipids Health Dis       Date:  2022-06-25       Impact factor: 4.315

5.  A multi-component classifier for nonalcoholic fatty liver disease (NAFLD) based on genomic, proteomic, and phenomic data domains.

Authors:  G Craig Wood; Xin Chu; George Argyropoulos; Peter Benotti; David Rolston; Tooraj Mirshahi; Anthony Petrick; John Gabrielson; David J Carey; Johanna K DiStefano; Christopher D Still; Glenn S Gerhard
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

6.  FOXO transcription factors protect against the diet-induced fatty liver disease.

Authors:  Xiaoyan Pan; Yang Zhang; Hyeong-Geug Kim; Suthat Liangpunsakul; X Charlie Dong
Journal:  Sci Rep       Date:  2017-03-16       Impact factor: 4.379

7.  Establishment of a Risk Prediction Model for Non-alcoholic Fatty Liver Disease in Type 2 Diabetes.

Authors:  Yali Zhang; Rong Shi; Liang Yu; Liping Ji; Min Li; Fan Hu
Journal:  Diabetes Ther       Date:  2020-07-28       Impact factor: 2.945

8.  Novel Application of the Traditional Lipid Ratios as Strong Risk Predictors of NASH.

Authors:  Mona Hegazy; Shereen A Saleh; Ahmed Ezzat; Mervat E Behiry
Journal:  Diabetes Metab Syndr Obes       Date:  2020-02-10       Impact factor: 3.168

9.  Amaranthus spinosus Attenuated Obesity-Induced Metabolic Disorders in High-Carbohydrate-High-Fat Diet-Fed Obese Rats.

Authors:  Md Raihan Uzzaman Prince; S M Neamul Kabir Zihad; Puja Ghosh; Nazifa Sifat; Razina Rouf; Gazi Mohammad Al Shajib; Md Ashraful Alam; Jamil A Shilpi; Shaikh J Uddin
Journal:  Front Nutr       Date:  2021-05-10

10.  Middle- and high-molecular weight adiponectin levels in relation to nonalcoholic fatty liver disease.

Authors:  Kun Lian; Yu-Nan Feng; Rong Li; Hao-Lin Liu; Peng Han; Lei Zhou; Cheng-Xiang Li; Qin Wang
Journal:  J Clin Lab Anal       Date:  2019-12-27       Impact factor: 2.352

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