Determinants of Liver Fat Composition

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

19 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-08-15

Study Completion Date

2018-05-17

Brief Summary

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Excessive fat in the liver, in absence of high alcohol consumption, is diagnosed as non-alcoholic fatty liver (NAFL). NAFL prevalence is as high as 50-70% in obese people and is associated with impairments in metabolic health, e.g. insulin resistance. Not only the amount, but also the composition of the fat stored in the liver appears to be linked to health outcome measures, such as insulin resistance, but this evidence comes mainly from animal studies. Since fat composition has been linked to health outcome measures, it is important to understand what determines the fatty acid composition of liver fat. De novo lipogenesis (DNL) and adipose tissue fat composition are factors that could determine liver fat composition. Since the end product of DNL are saturated fatty acids and as the majority of fatty acids in the liver originate from adipose tissue, both may influence hepatic fatty acid composition profoundly. Here, our primary hypothesis is that DNL is associated with the relative amount of saturated fatty acids in the liver in overweight/obese humans differing in liver fat content. Furthermore, we hypothesise that adipose tissue fat composition is associated with liver fat composition and that liver fat composition is associated with liver, muscle and whole body insulin sensitivity in overweight/obese humans differing in liver fat content. To this end, liver fat composition, adipose tissue fat composition, DNL and insulin sensitivity will be measured in overweight/obese participants differing in liver content.

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Detailed Description

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Rationale: Excessive fat in the liver, in absence of high alcohol consumption, is diagnosed as nonalcoholic fatty liver (NAFL). NAFL prevalence is as high as 50-70% in obese people and is associated with impairments in metabolic health, e.g. insulin resistance. Not only the amount, but also the composition of the fat stored in the liver appears to be linked to health outcome measures, such as insulin resistance, but this evidence comes mainly from animal studies. Since fat composition has been linked to health outcome measures, it is important to understand what determines the fatty acid composition of liver fat. De novo lipogenesis (DNL) and adipose tissue fat composition are factors that could determine liver fat composition. Since the end product of DNL are saturated fatty acids and as the majority of fatty acids in the liver originate from adipose tissue, both may influence hepatic fatty acid composition profoundly. Up to now, associations between hepatic fatty acid composition, DNL and adipose tissue fatty acid composition have never been determined in the same study.

Objective: The primary objective of this study is to determine the association between DNL and hepatic %SFA in overweight/obese subjects differing in liver fat content. The secondary objectives are to determine the association between adipose tissue fat composition and liver fat composition and to determine the association between liver fat composition and whole body, liver and muscle insulin sensitivity.

Study design: This is a cross-sectional observational study. For this study a design of 3 groups with different amounts of liver fat are included, in order to create a study population with a continuum in liver fat content.

Study population: Twenty-two healthy overweight/obese males and females, aged between 45-70 years and BMI between 27-35 kg/m2 will participate in the whole study. To create a continuum in liver fat content, eight subjects with liver fat content lower than 5% and 14 subjects with liver fat content higher than 5%, of which at least seven subjects have a liver fat content of at least 15%, will be included. To be able to include enough people in each group, around 31 participants will be included in total. A part of the participants will stop participating in the study after determination of liver fat content (in case the liver fat content does not match the groups).

Main study parameters/endpoints: The primary study parameters are %SFA in the liver and DNL. %SFA in the liver will be determined using MRS and DNL will be determined by applying stable isotope techniques. The secondary study parameters are hepatic fat composition, measured as %MUFA and %PUFA in addition to %SFA using MRS, adipose tissue fat composition, determined using MRS and biopsies, and insulin sensitivity, measured by a hyperinsulinemic euglycemic 2- step clamp.

Conditions

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Fatty Liver, Nonalcoholic Insulin Sensitivity

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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IHL <5%

overweight and obese humans with a liver fat percentage \<5%

No interventions assigned to this group

IHL 5-10%

overweight and obese humans with a liver fat percentage 5-15%

No interventions assigned to this group

IHL >15%

overweight and obese humans with a liver fat percentage \>15%

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Signed informed consent
* Caucasian (people will be excluded when having a 50% or a more then 50% racial African/Asian background)
* Male or postmenopausal female
* Aged 45-70 years at start of the study
* Body mass index (BMI) 27 - 35 kg/m2
* Stable dietary habits (no weight loss or gain \>3kg in the past 3 months)
* Sedentary lifestyle (not more than 2 hours of sports per week)

Exclusion Criteria

* Type 2 diabetes
* Active diseases (cardiovascular, diabetes, liver, kidney, cancer or other)
* Contra-indication for MRI (which can be found in appendix I)
* Alcohol consumption of \>2 servings per day
* Smoking \>5 cigarettes per day
* Use of anti-coagulants

Minimum Eligible Age

45 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes