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CompletedNCT03401970CARBFUNCUpdated Apr 26, 2021

Dietary Carbohydrate and Internal Body Fat

An interventional study of Acellular carbohydrate diet and Cellular carbohydrate diet in Adiposity, sponsored by Haukeland University Hospital. Completed at 1 site in Norway. Open to participants aged 20 Years to 55 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-04-26.

Sponsored by Haukeland University Hospital · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
150
Allocation
Randomized
Ages
20 Years to 55 Years
Sex
All
01

Study summary

This is a 2-year randomized controlled trial to test the effect of dietary carbohydrates, both quality and quantity, on changes in internal body fat mass. Up to 250 women and men with obesity are recruited in Bergen, Norway, and randomized to one of the following normo- and isocaloric dietary patterns (same amount of protein, polyunsaturated fatty acids and moderate energy, 2,000 - 2,500 kcal per day): 1) a low-fat high-carbohydrate diet primarily with refined (e.g., flour-based) carbohydrate sources, 2) a low-fat high-carbohydrate diet based on minimally refined (e.g., cellular) carbohydrate sources, and 3) a very-high-fat low-carbohydrate diet.

Read the detailed description

Obesity, and high internal fat storage in particular, represents a tremendous and increasing health challenge across the world, and is linked to the recent introduction and globalization of an ultra-processed food supply largely based on refined carbohydrates. However, more high-quality studies are needed to directly assess the role of carbohydrate quality in abdominal adiposity. We also need studies with greater long-term adherence to prescribed food profiles, which may be achievied with the help of new electronic tools such as meal planning applications.

The participants select and plan all meals among a list of carefully designed options, using an application/recipe booklet developed for the study. Each recipe/meal/snack is designed to fully comply with the overall macronutrient- and dietary profile for the respective groups. We will further instruct the participants to record their meal choices during three days every 14 days, and to record all deviations throughout the intervention.

Enrolled participants are invited to study visits at baseline and after 3, 6, 9, 12 and 24 months. At all or some of these time points, the participants provide biological samples (blood, urine and feces, and for some, adipose and/or muscle tissue) and undergo phenotyping, e.g., measurement of body weight and fat mass by bioelectrical impedance analysis and low-radiation CT imaging, and a standardized meal test with blood sample collection up to 4 hours postprandially. In addition, participants will be asked to fill out a collection of questionnaires that assess quality of life, motivation, fatigue, gastrointestinal health, appetite and physical activity. We ask the participants to maintain the same level of physical activity throughout the study.

The primary outcome measure is change in internal body fat mass (visceral adipose tissue) measured by CT imaging. Secondary outcome measures include change in 2-hour postprandial serum concentrations of insulin, change in 4-hour postprandial serum concentrations of triacylglycerols, and change in fecal microbiota composition measured by 16S sequencing.

02

Conditions studied

  • Adiposity

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Keywords

  • Body composition
  • Internal body fat
  • Dietary pattern
  • Dietary carbohydrate
03

Who can participate

Ages eligible
20 Years to 55 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Body-mass index (BMI) equal to or above 30 kg/m2 and/or waist circumference equal to or above 102 cm for men and 88 cm for women
  • Weight stable during the last 2 months before start of the study (less than 5 % change in body weight up or down)
  • No known diabetes or consumption of diabetes medication
  • Desire to follow a specified dietary pattern using specific recipes throughout the time of the study period
  • Ability to periodically record food intake using a specially designed app for the study

Exclusion criteria

Exclusion Criteria:

  • Use of statins and/or diabetes medication
  • Recent surgical or antibiotics treatment during the last 2 months before start of the study
  • Chronic inflammatory bowel disease
  • Serious disease
  • Smoking
  • Pregnancy or breast feeding
  • Alcohol consumption during the study of more than 2 alcohol units per day (1 unit = 15 ml (12.8 g) pure alcohol)
04

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
150 participants (actual)

Study arms

  • Active comparator
    Acellular carbohydrate diet

    Prescribed dietary pattern. Carbohydrates from acellular sources, e.g., refined flour/bakery products, at least 500 grams of fruits/vegetables per day, and a macronutrient composition within typical nutritional recommendations for the general population.

    Behavioral: Acellular carbohydrate diet

  • Experimental
    Cellular carbohydrate diet

    Prescribed dietary pattern. Carbohydrates from cellular sources, e.g., root vegetables, fruits, whole-grain rice, non-flour grain products, at least 500 grams of fruits/vegetables per day, and a macronutrient composition within typical nutritional recommendations for the general population similar to the acellular carbohydrate diet.

    Behavioral: Cellular carbohydrate diet

  • Experimental
    Low-carbohydrate high-fat diet

    Prescribed dietary pattern. Energy largely from fat, cellular carbohydrate sources, and otherwise similar food types as in the acellular/cellular carbohydrate diets including at least 500 grams of fruits/vegetables per day.

    Behavioral: Low-carbohydrate high-fat diet

Interventions

  • BehavioralAcellular carbohydrate diet

    Participants will be asked to consume 2,000 - 2,500 kcals, thereof 45 energy percent (E%) carbohydrate (up to 5 E% added sugar), 30 E% fat (10-12 E% saturated fatty acids and 7-10 E% polyunsaturated fatty acids) and 17 E% protein. They will use an original online/smartphone application that provides choices of meals/food combinations/recipes corresponding to their prescribed macronutrient profile and dietary pattern. Participants are asked to complete 3-day dietary records every 14 days throughout the study, and to report any deviations from the planned interventions.

  • BehavioralCellular carbohydrate diet

    Participants will be asked to consume 2,000 - 2,500 kcals, thereof 45 energy percent (E%) carbohydrate (up to 1 E% added sugar), 38 E% fat (10-12 E% saturated fatty acids and 7-10 E% polyunsaturated fatty acids) and 17 E% protein. They will use an original online/smartphone application that provides choices of meals/food combinations/recipes corresponding to their prescribed macronutrient profile and dietary pattern. Participants are asked to complete 3-day dietary records every 14 days throughout the study, and to report any deviations from the planned interventions.

  • BehavioralLow-carbohydrate high-fat diet

    Participants will be asked to consume 2,000 - 2,500 kcals, thereof 10 energy percent (E%) carbohydrate (up to 1 E% added sugar), 73 E% fat (30 E% saturated fatty acids and 7-10 E% polyunsaturated fatty acids) and 17 E% protein. They will use an original online/smartphone application that provides choices of meals/food combinations/recipes corresponding to their prescribed macronutrient profile and dietary pattern. Participants are asked to complete 3-day dietary records every 14 days throughout the study, and to report any deviations from the planned interventions.

05

What researchers measure

Primary outcomes

  1. Change in internal body fat

    Visceral fat mass (cm3) measured by computed tomography (CT) imaging

    Time frame: Baseline and 6, 12 and 24 months

Secondary outcomes

  1. Change in postprandial insulin

    Circulating insulin concentrations measured before and 2 hours after intake of a standardized mixed meal

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  2. Change in postprandial C-peptide

    Circulating C-peptide concentrations measured before and 2 hours after intake of a standardized mixed meal

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  3. Change in postprandial triacylglycerol

    Triacylglycerol concentrations measured before and 4 hours after intake of a mixed meal

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  4. Change in postprandial area under the curve (AUC) glucose

    Circulating glucose measured before and after 30, 60, 90, 120 and 240 minutes after intake of a standardized mixed meal

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  5. Change in postprandial non-esterified fatty acids

    Circulating non-esterified fatty acid concentrations before and after 60, 120 and 240 minutes after intake of a standardized mixed meal

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  6. Change in fecal microbiome composition

    Microbiome composition measured by 16S sequencing

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  7. Change in liver density

    Calculated as liver/spleen attenuation index (Hounsfield units) based on quantification by computed tomography (CT) imaging

    Time frame: Baseline and 6, 12 and 24 months

  8. Change in pericardial fat mass

    Pericardial fat mass (cm3) measured by computed tomography (CT) imaging

    Time frame: Baseline and 6, 12 and 24 months

  9. Change in abdominal subcutaneous fat mass

    Abdominal subcutaneous fat mass (cm3) measured by computed tomography (CT) imaging

    Time frame: Baseline and 6, 12 and 24 months

  10. Change in coronary artery calcification (CAC)

    CAC score calculated based on computed tomography (CT) imaging

    Time frame: Baseline and 6, 12 and 24 months

  11. Change in waist circumference

    Waist circumference (cm) measured by a measuring tape

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  12. Change in body-mass index

    Body-mass index measured as body weight (kg) divided by height (m) squared

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  13. Change in fasting insulin

    Circulating fasting insulin concentrations

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  14. Change in fasting C-peptide

    Circulating fasting C-peptide concentrations

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  15. Change in fasting TAG

    Circulating fasting triacylglycerol concentrations

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  16. Change in fasting HDL cholesterol

    Circulating fasting high-density lipoprotein cholesterol (HDL-C)

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  17. Change in TAG/HDL-C ratio

    The ratio of circulating fasting triacylglycerol (TAG) and high-density lipoprotein cholesterol (HDL-C)

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  18. Change in fasting LDL cholesterol

    Circulating fasting low-density lipoprotein cholesterol (LDL-C)

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  19. Change in apolipoprotein profile

    Circulating fasting apolipoprotein profile measured by multiplex ELISA

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  20. Change in circulating and urine metabolites associated with one-carbon metabolism

    Circulating metabolites in the serine, glycine and histidine pathways measured in the fasted state by GC-MS/MS

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  21. Change in total fat mass

    Total fat mass measured by bioimpedance analysis (BIA)

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  22. Change in lean mass

    Lean mass will be measured by bioimpedance analysis (BIA)

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  23. Change in appetite/fullness

    Subjective appetite and fullness assessed and quantified by the VAS questionnaire

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  24. Change in gastrointestinal symptoms by the Roma III questionnaire

    Gastrointestinal health will be surveyed and quantified by a questionnaire (Rome III Diagnostic Criteria for Irritable Bowel Syndrome (IBS)). The questionnaire surveys criteria for diagnosis of IBS within a 12-week period. The criteria for IBS are based on recurrent abdominal pain or discomfort, 3 days per month in the last 3 months (12 weeks), associated with ≥2 of the following criteria: 1.Improvement with defecation; 2. Onset associated with a change in stool frequency; 3. Onset associated with a change in stool form (appearance). The criteria are fulfilled with symptoms onset 6 months prior to diagnosis.

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  25. Change in gastrointestinal symptoms by the IBS-SSS questionnaire

    Gastrointestinal health will be surveyed by the IBS-SSS questionnaire. Scores on the IBS-SSS range from 0 to 500 with higher scores indicating more severe symptoms. Subjects can be categorized as having mild (75-175), moderate (175-300), or severe (\>300) IBS. A decrease of 50 points is associated with a clinically meaningful improvement. Each question on the VAS ranges from 0-100mm, where higher score indicates more severe symptoms. The categorization based on scores (total possible score = 500) are as follows: 0-75 = not IBS 75-175= mild IBS 175-300 = moderate IBS 300-500 = severe IBS

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  26. Change in fatigue

    The Fatigue Impact Scale will be used to compute a total score for fatigue by summing up the scores for subclasses as follows: cognitive functioning (10 items, subscale range: 0-40), physical functioning (10 items, subscale range: 0-40), and psychosocial functioning (20 items, subscale range: 0-80). The statements are ranged on a five-level scale (0 = no problem to 4 = extreme problems), giving a maximum total FIS score of 160 (total scale range: 0-160) where low scores indicate less fatigue-related issues.

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  27. Change in perception of health / quality of life

    Obesity-specific quality of life is measured with "Patient-Reported Outcomes in Obesity" (PROS), which consists of 8 items tapping how different life domains are affected by obesity. PROS have one overall score, ranging from 0 (optimal) to 3 (poorest). Generic health-related quality of life is measured with RAND-36, which consists of dimensions ranging from 0 (poorest) to 100 (optimal). There are 8 subscales; physical functioning, physical role functioning, bodily pain, general health, vitality, social functioning, emotional role functioning and mental health. In addition, RAND-36 also have 2 summary scores: the physical component summary (PCS) (tapping from physical functioning, physical role functioning, bodily pain and general health) and mental component summary (MCS) (tapping from vitality, social functioning, emotional role functioning and mental health).

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

  28. Change in quality of life related to gastrointestinal symptoms

    The SF-NDI (Short-Form Nepean Dyspepsia Index (SF-NDI)) questionnaire will be used to assess quality of life / psychological wellbeing related to gastrointestinal symptoms. The 10-item SF-NDI was constructed and validated in patients with functional gastrointestinal disorders for measuring health-related quality of life. The 10-item short form includes five subscales: tension, interference with daily activities, eating/drinking, knowledge/control, and work/study, and each subscale contains two items. The items were measured by a 5-point graded Likert scale from 1 to 5. A total sum score for quality of life and a sum score for each of the five subscales were calculated by adding up scores for each item (range of total quality of life, 10-50; range of each subscale, 2-10). Higher scores indicate worse functioning or symptoms.

    Time frame: Baseline and 3, 6, 9, 12 and 24 months

06

Study locations

1 site
  • Forskningsenhet for helseundersøkelser (research unit for clinical trials), Department of Clinical Science, University of Bergen
    Bergen, 5021, Norway
07

References and documents

Publications

  • Sommersten CH, Laupsa-Borge J, Andersen AIO, Fasmer KE, Holmefjord MA, Revheim I, Johannessen KK, Naesheim NT, Storas I, Leikanger T, Amundsen K, Skjerve KL, Lawrence-Archer L, Spjelkavik C, Haldorsen I, Lindseth I, Dierkes J, Mellgren G, Dankel SN. Diets differing in carbohydrate cellularity and amount similarly reduced visceral fat in people with obesity - a randomized controlled trial (CARBFUNC). Clin Nutr. 2022 Oct;41(10):2345-2355. doi: 10.1016/j.clnu.2022.08.028. Epub 2022 Sep 5. PubMed 36116147 ↗

Individual participant data

Plan to share: Undecided

08

Registry details

Key details

Study ID
NCT03401970
Lead sponsor
Haukeland University Hospital
Collaborators
University of Bergen
Responsible party
Sponsor
First posted
Jan 17, 2018
Start date
Jan 3, 2018
Primary completion
May 20, 2020
Completion
Mar 24, 2021
Last update
Apr 26, 2021

Study contacts

Simon N Dankel, PhD
principal investigator · University of Bergen
Gunnar Mellgren, MD PhD
study director · Haukeland University Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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