Genetical Background of Non-alcoholic Fatty Liver Disease (NAFLD) in Diabetes Mellitus and in Chronic Kidney Disease (NAFLDDMCKD)

February 22, 2019 updated by: Dr. Gergő Molnár, University of Pecs
The present study investigates relationship between non-alcoholic fatty liver disease and its risk factors, such as genetic background and diseases, such as chronic kidney disease and diabetes mellitus.

Study Overview

Detailed Description

Non-alcoholic fatty liver disease (NAFLD) is a multisystemic disease, also affecting extrahepatic organs (1,2,6). According to former data, not only the prevalence of chronic hepatic disease, chronic cardiovascular diseases, but also the prevalence of chronic kidney disease (CKD) is higher in NAFLD (4,7). A strong association has been shown between diabetes mellitus (DM) and NAFLD as well (3,5,10).

Many genetical factors have been studied in the background of NAFLD. Many studies have proved the effect of patatin-like phospholipase domain-containing protein 3 gene (PNPLA3) (8,9). Effect of numerous genetical polymorphisms has been suggested behind oxidative stress responsible for NAFLD (8).

Study Type

Observational

Enrollment (Anticipated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Baranya
      • Pécs, Baranya, Hungary, 7624
        • 2nd Department of Medicine and Nephrological Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with CKD without DM, or patients with DM without CKD, or patients with both CKD and DM, aged 18-90

Description

Inclusion Criteria:

  • CKD (renal replacement therapy non excluded)
  • DM
  • CKD+DM

Exclusion Criteria:

  • alcohol abuse

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
CKD
chronic kidney disease
DM
diabetes mellitus
CKD+DM
chronic kidney disease + diabetes mellitus

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Association of NFS (NAFLD fibrosis score) and HSI (hepatic steatosis index) with underlying conditions
Time Frame: 2 years
The association of hepatic steatosis with chronic kidney disease, diabetes mellitus and the the persence of these two will be assessed
2 years
Association of genetical factors with NFS and HSI
Time Frame: 2 years
The association of hepatic steatosis with genetic factors will be assessed. In case of patatin-like phospholipase domain-containing protein 3 gene (PNPLA3) : rs738409, rs2281135, rs2294918 single nuclear polimorfism (SNP) will be examined
2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Association of hepatic steatosis with renal function
Time Frame: 2 years
The association of serum creatinine, eGFR, blood urea nitrogen, serum sodium, serum potassium, serum calcium with NFS and HSI will be assessed
2 years
Association of glucose metabolism parameters with hepaic steatosis indices
Time Frame: 2 years
Association of HbA1C, fructosamine, blood glucose, serum insulin, HOMAIR, serum uric acid with NFS and HSI
2 years
Association of liver function and hepatic setatosis indices
Time Frame: 2 years
Association of serum bilirubine, serum GOT, serum GPT, serum GGT, serum ALP, serum LDH, INR, serum total protein, serum albumin with NFS and HSI
2 years
Association of serum lipid profile and hepatic setatosis indices
Time Frame: 2 years
Association of serum total cholesterol, serum HDL-cholesterol, serum LDL-cholesterol, serum triglyceride, serum carnitine with NFS and HSI
2 years
Association of iron metabolism parameters with hepatic setatosis indices
Time Frame: 2 years
association of serum iron, serum transferrine, serum transferrine saturation, serum ferritine with NFS and HSI
2 years
The relationship between blood count, sedimentation and inflammation with hepatic setatosis indices
Time Frame: 2 years
Association of blood count, erythrocyte sedimentation rate, CRP with NFS and HSI
2 years
Assotion of serum proteins with hepatic setatosis indices
Time Frame: 2 years
association of urinary total protein, urinary albumin, urinary total protein/creatinine ratio, urinary albumin/creatinine ratio with NFS and HSI
2 years
Association of pathological tyrosine isoforms with hepatic setatosis indices
Time Frame: 2 years
Association of serum meta-Tyr, serum ortho-Tyr, urinary meta-Tyr, urinary ortho-Tyr, urinary meta-Tyr/creatinine ratio, urinary ortho-Tyr/creatinine ratio with NFS and HSI
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

  • 1. Alp H, Karaarsian S, Selver EB,Atabek ME, Altin H, Baysal T. Association between nonalcoholic fatty liver disease and cardiovascular risk in obese children and adolescents. Can J Cardiol 2013;29:1118-1125. 2. Byrne CD, Targher G: NAFLD: A multisystem disease. Review. Journal of Hepatology, 2015; 62:S47-S64. 3. Kasturiratne A, Weerasinghe S, Dassanayake AS, rajindrajith S, de Silva AP, Kato N, et al. Influence of non-alcoholic fatty liver disease on the development of diabetes mellitus. J Gastroenterol Hepatol 2013;60:384-391. 4. Li G, Shi W, Hug H, Chen Y, Liu L, Yin D. Nonalcoholic fatty liver disease associated with impairment of kidney function in nondiabetes population. Biochem Med 2012;22:92-99. 5. Okamoto M, Takeda Y, Yoda Y, Kobayashi K, Fujino MA, Yamagata Z. The association of fatty liver and diabetes risk. J Epidemiol 2003;13:15-21. 6. Pacifico L, Di MM, De MA, Bezzi M, Osborn JF, Catalano C, et al. Left ventricular dysfunction in obese children and adolescents with nonalcoholic fatty liver disease. Hepatology 2014;59:461-470. 7. Targher G, Choncol MB, Byrne CD. CKD a nonalcoholic fatty liver disease. Am J Kidney Dis 2014;64:638-652. 8. Wood KL, Miller MH, Dillon JF. systematic review of genetic association studies involving histologically confirmed non-alcoholic fatty liver disease BMJ Open Gastro 2015:2:e000019. doi10.1136/bmjgast-2014-000019 9. Zain SM, Mohamed R, Hyogo H, et al. A multi-ethnic study of a PNPLA3 variant and its association with disease severity in non-alcoholic fatty liver disease. Hum genet 2012;131:1145-1152. 10. Zuppini G, Fedeli U, Gennaro N, Saugo M, Targher G, Bonora E. Mortality from chronic liver diseases in diabetes. Am J Gastroenterol 2014;109:1020-1025.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2016

Primary Completion (Anticipated)

December 31, 2019

Study Completion (Anticipated)

December 31, 2020

Study Registration Dates

First Submitted

September 22, 2016

First Submitted That Met QC Criteria

October 25, 2016

First Posted (Estimate)

October 28, 2016

Study Record Updates

Last Update Posted (Actual)

February 25, 2019

Last Update Submitted That Met QC Criteria

February 22, 2019

Last Verified

February 1, 2019

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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