Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Current Issue
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Perspectives
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Current Issue
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Perspectives
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Original Article
143 (
1
); 30-36
doi:
10.4103/0971-5916.178585

Role of γ-glutamyl transferase levels in prediction of high cardiovascular risk among patients with non-alcoholic fatty liver disease

Turgut Ozal University Medical School, Department of Internal Medicine, Division of Gastroenterology, Ankara, Turkey
Turgut Ozal University Medical School, Department of Internal Medicine, Division of Endocrinology, Ankara, Turkey
Turgut Ozal University Medical School, Department of Internal Medicine, Division of Radiology, Ankara, Turkey

Reprint requests: Dr Benan Kasapoglu, Turgut Ozal Üniversitesi Hastanesi, Alparslan Turkes cad. No:57 Bestepe Yenimahalle/Ankara, Turkey e-mail: benankasapoglu@hotmail.com

Licence

This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Disclaimer:
This article was originally published by Medknow Publications & Media Pvt Ltd and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Background & objectives:

Non-alcoholic fatty liver disease (NAFLD) is an important cause of elevated liver functions. There is evidence showing an association between NAFLD and subclinical atherosclerosis independent of traditional risk factors. We undertook this retrospective study to determine the association of Framingham cardiovascular risk scoring system with liver function tests and inflammatory markers and to find the role of liver function tests in determination of CVD risk among non-obese and non-diabetic subjects with non-alcoholic fatty liver disease.

Methods:

A total of 2058 patients were included in the study. Framingham cardiovascular risk scoring was done of all patients according to the age, gender, systolic blood pressure, serum total cholesterol and HDL cholesterol levels, smoking and antihypertensive medication history. Liver function test, lipid profile, insulin, uric acid, ferritin levels, etc. were determined.

Results:

According to the ultrasonography findings, patients were grouped as without any fatty infiltration of the liver (control group) (n=982), mild (n=473), moderate (n=363) and severe fatty liver disease (n=240) groups. In severe fatty liver disease group, the mean Framingham cardiovascular risk score was significantly higher than that of other groups. There was a positive correlation between GGT, uric acid and ferritin levels with Framingham cardiovascular score. In multivariate analysis, high GGT levels were positively associated with high-risk disease presence (OR: 3.02, 95% CI: 2.62-3.42) compared to low GGT levels independent of the age and sex.

Interpretation & conclusions:

Cardiovascular disease risk increases with the presence and stage of fatty liver disease. Our findings showed a positive correlation between elevated GGT levels and Framingham cardiovascular risk scoring system among non-diabetic, non-obese adults which could be important in clinical practice. Though in normal limits, elevated GGT levels among patients with fatty liver disease should be regarded as a sign of increased cardiovascular disease risk. Larger studies are warranted to elucidate the role of GGT in prediction of cardiovascular risk.

Keywords

BMI
cardiovascular disease risk score
Framingham
gamma glutamyl transferase
non-alcoholic fatty liver disease
non-obese

Non-alcoholic fatty liver disease (NAFLD) is characterized by morphological features observed in alcohol-related liver disease in patients without significant alcohol consumption1. It has been shown that NAFLD is responsible approximately for 90 per cent of distorted liver function tests (LFTs) in patients without any known liver disease2. Insulin resistance, oxidative stress and inflammatory period are thought to be responsible in not only initiation but also progression of fatty liver disease. Nowadays, non-alcoholic fatty liver disease gains more importance with its increasing prevalence, potential to develop liver failure and cirrhosis, and morbidities with concomitant diseases1.

Obesity (body mass index, BMI>30kg/m2 and type 2 diabetes mellitus are defined risk factors for fatty liver disease development3. However, in clinical practice, NAFLD is also observed among subjects without any known risk factors. In a study determining the independent predictors of lean (non-obese) patients with NAFLD; younger age, female sex, and a decreased likelihood of having insulin resistance (IR) and hypercholesterolaemia were found as independently associated with lean NAFLD4. Since NAFLD is regarded as the hepatic manifestation of metabolic syndrome, it has been shown as a threat in cardiovascular disease (CVD) development after exclusion of classical risk factors5. The prevalence and incidence of CVD have been found to be increased in individuals with NAFLD67. Moreover, in a systematic review of 27 studies, it is concluded that there is evidence to support the association of NAFLD with subclinical atherosclerosis independent of traditional risk factors and metabolic syndrome8.

The Framingham risk score (FRS) that was first developed based on data obtained from the Framingham Heart Study, is a gender-specific algorithm used to estimate the 10-year cardiovascular risk of an individual9. Framingham risk score is useful in determination of individuals who benefit from lifestyle modification and preventive medical treatment.

The aim of this retrospective study was to determine the association of Framingham cardiovascular risk scoring system with liver function tests and inflammatory markers and to find the role of liver function tests in determination of CVD risk among non-obese and non-diabetic patients with non-alcoholic fatty liver disease.

Material & Methods

This retrospective study was carried out in Turgut Ozal University Hospital, Ankara, Turkey, on all non-obese (BMI <30 kg/m2 and non-diabetic 2058 patients (1563 female and 495 male) admitted to the Internal Medicine department with any complaint other than cirrhosis, jaundice, or chest pain between March 2009 and May 2010. Data were obtained from patient records. Exclusion criteria were as follows: a significant history of alcohol use (>30 g for male, >20 g for female), body mass index > 30 kg/m2, positive results for HBsAg or anti-HCV, autoimmune hepatitis, Wilson's disease, haemochromatosis, any known chronic liver disease, malignancies, diabetes mellitus, thyroid disease, atherosclerotic heart disease or renal disease. The study protocol was approved by the university ethics committee.

Height and weight of all participants were measured and the BMI was calculated. Diabetes was defined as a fasting plasma glucose (FPG) level greater than 125mg/dl or a self-reported diagnosis of diabetes and use of specific therapy. Impaired fasting glucose (IFG) was diagnosed if FPG was 110-125 mg/dl and 2-h post-load glucose (75 g) was <140 mg/dl and the individual was not a known diabetic10. Subjects with BMI > 30 kg/m2 and diagnosis of diabetes mellitus were excluded from the study. Waist circumference (cm) and blood pressures of all patients were recorded.

Laboratory tests: Liver function tests [including alanine amino transferase (ALT), aspartate amino transferase (AST), gamma glutamyl transferase (GGT), alkaline phosphatase (ALP) and bilirubin levels], lipid profiles [including total cholesterol, triglyceride (TG), high density lipoprotein (HDL) and low density lipoprotein levels (LDL)], C-reactive protein (CRP), fasting blood glucose (FBG), insulin, thyroid stimulating hormone (TSH), uric acid and ferritin levels were studied in all patients after an overnight fast using the standard methods. Insulin resistance was measured using the homeostatic model of the assessment of insulin resistance (HOMA-IR) and was obtained by applying the following formula11:

HOMA: fasting insulin (IU/ml) × fasting blood glucose (mmol/l)/22.5

Framingham cardiovascular risk scoring system: The cardiovascular risks of all subjects were determined using the Framingham risk scoring system according to the age, gender, systolic blood pressure, serum total and HDL cholesterol levels, smoking and hypertension treatment histories of subjects12. According to the Framingham cardiovascular disease risk score; the 10-yr risk of CVD was classified as low (<10%), moderate (10 to 20%), or high (>20%)13.

Fatty liver disease diagnosis and evaluation: All subjects underwent a liver ultrasonography scanning and the presence and stages of fatty liver were graded. Liver steatosis was scored on a scale of 0-3; 0, absent; 1, mild; 2, moderate; 3, severe. Steatosis was graded on the basis of abnormally intense, high level echoes arising from the hepatic parenchyma, liver-kidney difference in echo amplitude, echo penetration into deep portion of the liver and clarity of liver blood vessel structure14.

Statistical analysis: All analyses were performed with the Statistical Package for Social Sciences (SPSS) (SPSS Inc., Chicago, IL, USA) for Windows 17.0 program. Comparisons of demographic features of groups were performed with Fisher's exact test and Pearson χ2 tests. Significant differences were determined between the groups with ANOVA test. Logistic regression model was used to determine the independent predictors of high cardiovascular risk (CVR) patients, while comparisons between groups were made using two-tailed Student's t test.

Results

Two thousand and fifty eight non-obese, non-diabetic inpatients (1563 women, 495 men) with the mean age of 49.7±13.2 yr (ranging between 21-70 yr) were included in the study. They were grouped according to their ultrasound findings as follows; 982 (47.7%) cases without any fat accumulation in liver were regarded as control group; and among the remaining, 473 (22.9%) had mild, 363 (17.6%) had moderate and 240 (11.6%) had severe fatty liver disease. The general characteristics and laboratory findings of the groups are shown in Table I.

Table I Clinical and biochemical characteristics of study population

When grouped according to the presence and severity of fatty liver disease, there was no significant difference between groups with regard to the age. However, when evaluated with regard to gender; there was higher number of men in severe NAFLD group compared to the control group (P<0.01). In evaluation of BMI and waist circumference, with the increasing grade of NAFLD, BMI and waist circumference also increased though all participants of the study were non-obese.

With the increasing grade of NAFLD, the ALT, AST and GGT levels also increased. Similarly, CRP, uric acid and ferritin levels also increased with the increasing stage of NAFLD and the difference between the control group and grade 3 NAFLD groups was significant (P<0.01).

Though patients with diabetes were not included in the study, 185 cases (9.0%) had impaired fasting glucose (IFG). Among these 185 patients, nine were in control group, 17 were in NAFLD stage 1, 69 in NAFLD stage 2 and 90 were in NAFLD stage 3 group. With the increasing stages of fatty liver disease, the presence of IFG also increased significantly (P<0.05). There was a significant increase in risk scores among NAFLD stage 3 group when compared with the control group (P<0.01).

A significant correlation was found between Framingham cardiovascular risk scoring system and GGT, uric acid and ferritin levels in logistic regression analysis (Table II).

Table II Results of logistic regression analysis in prediction of high cardiovascular disease risk

When the patients were grouped according to the Framingham cardiovascular disease risk score as high (risk score >20%), moderate (risk score >10, <20%) or low (risk score <10%) risk, 226 were in high CVR group and among them, 56, 49, 64, 51 were in control group, grade 1, grade 2, grade 3 fatty liver disease groups, respectively. When the groups were compared according to the presence of patients with high CVD risk; the difference between all fatty liver disease groups and control group was significant (P<0.01).

When the sample was divided into quartiles of GGT levels, increase in GGT levels was associated with the increase in prevalence of high-risk subjects. The sensitivity and specificity levels of some cut-off points of GGT for the whole group in diagnosis of high-risk subjects are presented in Table III. In ROC curve analysis the optimum cut-off value for GGT in diagnosis of high CVR subjects was 22.5 IU (Figure). In multivariate analysis, high GGT levels were positively associated with high-risk disease presence (OR: 3.02, 95% CI: 2.62-3.42) compared to low GGT levels independent of the age and sex.

Table III Sensitivity and specificity values of gamma glutamyl transferase (GGT) levels in diagnosis of high-risk subjects
ROC curve of GGT in prediction of high CVD risk (Area under the curve. 0,862).
Figure
ROC curve of GGT in prediction of high CVD risk (Area under the curve. 0,862).

Discussion

In this study of 2058 non-diabetic, non-obese patients, fatty liver disease was observed in 52.3 per cent, although two major risk factors, obesity and diabetes mellitus, were not present. Moreover, 11.6 per cent patients had the severe fatty liver disease. The cardiovascular risk, evaluated with Framingham risk scoring system, increased among fatty liver disease patients compared with control group. Another major finding of this study was the association of higher GGT levels with the increased cardiovascular disease risk. This finding should be confirmed with larger studies and the upper limits of GGT may be discussed according to the new roles of GGT in diagnosis of different diseases.

Similar to our findings, higher Framingham cardiovascular risk score has been reported among patients with fatty liver disease15. Increased incidence of coronary artery disease (CAD) has been reported among patients with fatty liver disease16. In a study by Acıkel et al17 fatty liver disease has been identified as an independent risk factor for CAD and GGT has been suggested as a predictor for the presence or severity of CAD. Different mechanisms have been proposed to elucidate the association of fatty liver disease with CAD including insulin resistance, endothelial dysfunction and resulting decrease in nitric oxide levels18 and decreased levels of adiponectin which may result in both glucose intolerance and increased atherosclerotic processes19.

We found a significant positive correlation between Framingham cardiovascular risk scoring system and GGT, uric acid and ferritin levels. GGT has been reported to correlate with insulin resistance in a study on fatty liver disease due to varying aetiology20. Elevated GGT levels have been reported to be of prognostic significance in coronary artery disease21. In our study, GGT rather than ALT or AST was found to have a positive correlation with Framingham cardiovascular risk scoring system. In a study among 7613 middle-aged men with a 11.5 years follow up period, elevated GGT levels were shown to increase all-cause and cardiovascular mortalities22. Similarly, in another population-based large study elevated GGT levels were found to be associated with the increased cardiovascular mortality23. In an earlier study we reported a positive association between a high GGT level and cardiovascular disease prevalence24. Hepatic steatosis and increased carotid intima-media thickness, a sign of atherosclerosis, have been shown to be associated with normal or slightly elevated GGT levels25. In a study conducted on middle-aged African population, GGT levels were reported to be independently associated with insulin sensitivity and metabolic syndrome and chronic elevation of GGT was suggested as an indicator of high risk for the development of these metabolic disorders26.

The association of increased ferritin levels with fatty liver disease has been studied before. In a recent retrospective analysis of 1014 patients with liver biopsy-confirmed NAFLD, serum level of ferritin was shown to correlate with severe liver fibrosis. However, in the same study serum ferritin levels alone were found to have a low level of diagnostic accuracy for the presence or severity of liver fibrosis in patients with NAFLD27.

Patients with fatty liver disease tend to have higher serum uric acid values. It has been reported that increased uric acid levels is associated with oxidative stress and insulin resistance28. Insulin resistance has been shown not only to increase the synthesis of uric acid but also decrease its excretion29. Uric acid is deemed to stimulate vascular smooth muscle proliferation and endothelial dysfunction30. Among patients with fatty liver disease, elevated serum uric acid levels may accompany vascular inflammation and arterial damage, increasing the cardiovascular disease risk. In this aspect, it can be suggested that the uric acid lowering treatments may help to diminish cardiovascular disease risk.

In this study we determined the presence of fatty liver disease with ultrasound, not biopsy. However, semi-quantitative ultrasound indices were correlated with the metabolic derangements and histological features in the NAFLD spectrum. The main strength of this study was the exclusion of obese and diabetic patients. Our study had some limitations. First, the participants were not a random sample, and, therefore, the results may not be generalized to other populations. Second, this study was retrospective in nature and the follow up information or cardiovascular outcome of the patients were not known. And lastly, FRS has been suggested to overestimate CVD risk in population of non-British descent which may also be true for our population31.

In conclusion, cardiovascular disease risk increases with the presence and stage of fatty liver disease. A positive correlation between elevated GGT levels and Framingham cardiovascular risk scoring system among non-diabetic, non-obese adults is an important observation of this study. Though in normal limits, elevated GGT levels among patients with fatty liver disease should be regarded as a sign of increased cardiovascular disease risk. Larger studies are warranted to elucidate the role of GGT in prediction of cardiovascular risk.

Acknowledgment

All authors disclose that they do not have any conflict of interests. The authors report no competing interests. The authors alone are responsible for the content and writing of this paper.

Conflicts of Interest: None.

References

  1. , , . Epidemiology and natural history of non-alcoholic fatty liver disease. J Clin Exp Hepatol. 2012;2:135-44.
    [Google Scholar]
  2. , . Nonalcoholic fatty liver disease. N Engl J Med. 2002;346:1221-31.
    [Google Scholar]
  3. , , , , , , . The natural history of nonalcoholic fatty liver disease: a population-based cohort study. Gastroenterology. 2005;129:113-21.
    [Google Scholar]
  4. , , , , , , . Nonalcoholic fatty liver disease in lean individuals in the United States. Medicine (Baltimore). 2012;91:319-27.
    [Google Scholar]
  5. , , , , , , . The relationship between arterial stiffness and nonalcoholic fatty liver disease. Dig Dis Sci. 2012;57:196-203.
    [Google Scholar]
  6. , , . Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis. 2007;191:235-40.
    [Google Scholar]
  7. , , . Natural history of nonalcoholic steatohepatitis. J Clin Gastroenterol. 2006;40(Suppl 1):S11-6.
    [Google Scholar]
  8. , , , , , , . A systematic review: burden and severity of subclinical cardiovascular disease among those with nonalcoholic fatty liver; should we care? Atherosclerosis. 2013;230:258-67.
    [Google Scholar]
  9. , , , . Assessment of claims of improved prediction beyond the Framingham risk score. JAMA. 2009;302:2345-52.
    [Google Scholar]
  10. World Health Organization and International Diabetes Fedaration. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: Report of a WHO/IDF Consultation. Geneva, Switzerland: WHO; . p. :1-3.
    [Google Scholar]
  11. , , , , , , . Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28:412-9.
    [Google Scholar]
  12. Framingham Heart Study: General cardiovascular disease (10 years risk): risk score calculators. Available from: http://www.framinghamheartstudy.org/risk-functions/cardiovascular-disease/10-year-risk.php
    [Google Scholar]
  13. , , , , , . Performance of current guidelines for coronary heart disease prevention: optimal use of the Framingham-based risk assessment. Atherosclerosis. 2011;216:452-7.
    [Google Scholar]
  14. , , , . Ultrasound scanning in the detection of hepatic fibrosis and steatosis. Br Med J (Clin Res Ed). 1986;292:13-5.
    [Google Scholar]
  15. , , , , , , . The Framingham risk score and heart disease in nonalcoholic fatty liver disease. Liver Int. 2012;32:945-50.
    [Google Scholar]
  16. , , , , , , . Nonalcoholic fatty liver disease is a novel predictor of cardiovascular disease. World J Gastroenterol. 2007;13:1579-84.
    [Google Scholar]
  17. , , , , , . Evaluation of ultrasonographic fatty liver and severity of coronary atherosclerosis, and obesity in patients undergoing coronary angiography. Anadolu Kardiyol Derg. 2009;9:273-9.
    [Google Scholar]
  18. , , . What about non-alcoholic fatty liver disease as a new criterion to define metabolic syndrome? World J Gastroenterol. 2013;19:3375-84.
    [Google Scholar]
  19. , , . What is the role of adiponectin in obesity related non-alcoholic fatty liver disease? World J Gastroenterol. 2013;19:802-12.
    [Google Scholar]
  20. , , , , , , . Hepatic steatosis and insulin resistance: does etiology make a difference? J Hepatol. 2006;44:190-6.
    [Google Scholar]
  21. , , , . Gamma-glutamyltransferase: determinants and association with mortality from ischemic heart disease and all causes. Am J Epidemiol. 1995;142:699-708.
    [Google Scholar]
  22. , , , , , , . Gamma glutamyl transferase as a risk factor for cardiovascular disease mortality: an epidemiological investigation in a cohort of 163,944 Austrian adults. Circulation. 2005;112:2130-7.
    [Google Scholar]
  23. , , , , , , . Longitudinal change in serum gamma-glutamyltransferase and cardiovascular disease mortality: a prospective population-based study in 76,113 Austrian adults. Arterioscler Thromb Vasc Biol. 2008;28:1857-65.
    [Google Scholar]
  24. , , , , . Role of GGT in diagnosis of metabolic syndrome: a clinic-based cross-sectional survey. Indian J Med Res. 2010;132:56-61.
    [Google Scholar]
  25. , , , , , , . Are hepatic steatosis and carotid intima media thickness associated in obese patients with normal or slightly elevated gamma-glutamyl-transferase? J Transl Med. 2012;10:50.
    [Google Scholar]
  26. , , , , , , . Gamma-glutamyl transferase, insulin resistance and cardiometabolic risk profile in a middle-aged African population. Eur J Prev Cardiol. 2013;21:1541-8.
    [Google Scholar]
  27. , , , , , , . Serum ferritin levels lack diagnostic accuracy for liver-fibrosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol. 2014;12:1163-9.
    [Google Scholar]
  28. , , , , . Uric acid induces oxidative stress via an activation of the renin-angiotensin system in 3T3-L1 adipocytes. Endocrine. 2014;48:135-42.
    [Google Scholar]
  29. , , , , , , . Elevated serum uric acid is an independent risk factor for nonalcoholic fatty liver disease in Japanese undergoing a health check-up. Acta Gastroenterol Belg. 2010;73:12-7.
    [Google Scholar]
  30. , , , , , , . Fatty Liver Subgroup of Look AHEAD Research Group. Higher dietary fructose is associated with impaired hepatic adenosine triphosphate homeostasis in obese individuals with type 2 diabetes. Hepatology. 2012;56:952-60.
    [Google Scholar]
  31. , , , , . Prediction of first coronary events with the Framingham score: a systematic review. Am Heart J. 2007;153:722-31-731.e1-8.
    [Google Scholar]
Show Sections
Scroll to Top