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Liver Fat as a Dietary Target for Treating Cardiometabolic Disorders in Prediabetes and Type 2 Diabetes

Liver Fat as a Dietary Target for Treating Cardiometabolic Disorders in Prediabetes and Type 2 Diabetes: a Randomized Study (NAFLDiet)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04527965
Acronym
NAFLDiet
Enrollment
150
Registered
2020-08-27
Start date
2020-08-11
Completion date
2022-12-20
Last updated
2022-12-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus, Type 2, NAFLD, PreDiabetes

Keywords

NAFLD, Diabetes Mellitus, Type 2, Prediabetes, Fatty acids, Diet, Lipogenesis, Cardiometabolic risk

Brief summary

The overall aim of this study is to investigate the long-term impact of a customized diet aimed at reducing liver fat specifically and a healthy Nordic diet on ectopic fat (liver, pancreatic and visceral) and cardiometabolic risk in individuals with prediabetes and type 2 diabetes (T2D).

Detailed description

Randomized controlled studies investigating the impact of replacing dietary carbohydrates with polyunsaturated fat (PUFA) on liver fat content and cardiometabolic risk in individuals with prediabetes and T2D are lacking. Also, the effects of a Healthy Nordic Diet on liver fat content and glycemic control have not be investigated. This study therefore aims to: * Investigate the effects of the diets on liver fat content (primary aim) * Investigate the effects of the diets on pancreatic fat, visceral fat, lean tissue, glycemic and lipid control * Investigate the effects of the diets on plasma markers of de novo lipogenesis (DNL) and desaturation (i.e. stearoyl-Coenzyme desaturase 1, SCD-1) as well as on hepatic DNL using MRI spectroscopy * Investigate gene-diet interactions, especially if common gene variants (e.g. in PNPLA3) known to increase liver fat and dyslipidemia, may modify the dietary effects. * Perform lipidomic analyses to identify potential mechanistic pathways that may associate with diet-induced changes in liver fat, pancreatic fat, visceral fat, insulin sensitivity, dyslipidemia or DNL Our hypothesis is that a customized diet will effectively reduce liver fat through suppression of hepatic DNL and SCD-1 activity, and thereby improve atherogenic dyslipidemia, insulin resistance and hyperglycemia in individuals with prediabetes and T2D.

Interventions

OTHERCustomized diet to reduce liver fat

Ad libitum diet high in plant-derived PUFA and lower in carbohydrates Carbohydrates: 30 E% Fat: 50 E% (PUFA 10-15 E%) Protein: 20 E% Key foods are provided

Ad libitum diet, based on Nordic foods, high in carbohydrates (high fiber/low GI) and lower in fat Carbohydrates: 50-55 E% Fat: 25-30 E% (PUFA 5-7.5 E%) Protein: 20 E% Key foods are provided

OTHERControl

Ad libitum diet in accordance with the Nordic Nutrition Recommendations Key foods are provided

Sponsors

Uppsala University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Caregiver, Outcomes Assessor)

Intervention model description

Parallel Assignment

Eligibility

Sex/Gender
ALL
Age
30 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* Men and women * 30-75 years * BMI 25-40 * T2D (duration ≤10 years, no insulin treatment) or prediabetes (ADA definition 2019) without diagnosed cardiovascular disease (CVD) during the last 2 years (e.g. myocardial infarction, stroke or angina pectoris)

Exclusion criteria

* BMI \>40 * Alcohol intake \>20 g/day * Unwillingness to follow a new prescribed diet for 1 year * Diet-induced weight loss (≥10%) the preceding 3 months of screening * Malignant disease * Severe kidney and liver disease * Heart failure or other severe CVD * claustrophobia or metal parts in the body (MRI)

Design outcomes

Primary

MeasureTime frameDescription
Between-group changes in liver fat content between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)

Secondary

MeasureTime frameDescription
Between-group changes in diastolic blood pressure between baseline and month 1212 monthsAssessed by using an automated blood pressure monitor
Between-group changes in HbA1c in prespecified subgroups and in individuals with low respectively high dietary compliance based on dietary and lipogenic biomarkers changes between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in blood lipids in prespecified subgroups and in individuals with low respectively high dietary compliance based on dietary and lipogenic biomarkers changes between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in FIB-4 between baseline and month 1212 monthsAssessed by routine clinical chemistry in combination with age
Between-group changes in visceral adipose tissue mass between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)
Between-group changes in lean tissue mass between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)
Between-group changes in total body fat mass between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)
Between-group changes in body weight between baseline and month 1212 monthsAssessed by using a Tanita bioelectrical impedance analysis (BIA) scale
Between-group changes in glycated hemoglobin (HbA1c) between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in fasting plasma glucose between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in fasting serum insulin between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in systolic blood pressure between baseline and month 1212 monthsAssessed by using an automated blood pressure monitor
Between-group changes in plasma lipids (total cholesterol, LDL cholesterol, triglycerides, HDL cholesterol, apoB and apoA1) between baseline and month 1212 monthsAssessed by routine clinical chemistry
Between-group changes in circulating inflammatory markers (CRP, Tumor Necrosis Factor Alpha-receptor 1 and 2, Interleukin-1 receptor antagonist, Fibroblast growth factor 21) between baseline and month 1212 monthsAssessed by routine clinical chemistry and ELISA
Between-group changes in pancreatic fat between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)
Between-group changes in flow-mediated dilation (FMD) between baseline and month 1212 monthsAssessed by ultrasound in approximately half of the study population (n=75)
Between-group changes in pulse-wave velocity (PWV) between baseline and month 1212 monthsAssessed by ultrasound in approximately half of the study population (n=75)
Between-group values in FMD at month 1212 monthsAssessed by ultrasound in the whole population (n=150)
Between-group values in PWV at month 1212 monthsAssessed by ultrasound in the whole population (n=150)
Between-group changes in liver fat in prespecified subgroups and in individuals with low respectively high dietary compliance based on dietary and lipogenic biomarkers changes between baseline and month 1212 monthsAssessed by magnetic resonance imaging (MRI)

Other

MeasureTime frameDescription
Between-group changes in plasma lipids (ceramides) using a targeted lipidomic approach between baseline and month 1212 monthsLipids are measured using ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS)
Between-group changes in imaging-derived fatty acids and fatty acid ratios in the lipogenic pathway between baseline and month 1212 monthsAssessed by proton magnetic resonance spectroscopy (1 H-MRS)
Between-group changes in plasma-derived fatty acids and fatty acid ratios in the lipogenic pathway between baseline and month 1212 monthsAssessed by gas chromatography (GC)

Countries

Sweden

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026