Whey or Casein - Liver Fat Reduction and Metabolic Improvement by Fast vs. Slow Proteins

NCT ID: NCT04564391

Last Updated: 2024-03-15

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

RECRUITING

Clinical Phase

NA

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-09-21

Study Completion Date

2025-06-30

Brief Summary

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High-protein diets have been recently demonstrated to effectively reduce insulin resistance, derangements of the lipid profile and liver fat content in subjects with moderately and severely impaired glucose metabolism and non-alcoholic fatty liver disease (LeguAN, LEMBAS, DiNA-P, DiNA-D). The effects can be attributed to prolonged insulin secretion and improved second meal effect, higher energy expenditure by urea synthesis, suppression of glucagon or other mechanisms. Up to now, it is unclear, if proteins with slower or faster digestibility lead to differential results in these study designs. The proposed study will elucidate this question. The Investigators hypothesize, that slowly-digestible proteins induce a prolonged insulin plateau supporting the second-meal effect. The investigators also assume, that these dietary proteins lead to a markedly stronger short-term secretion of glucagon followed by desensitisation of this hormone release. Fast-digestible proteins, on the other hand, will presumably induce a smaller second-meal effect and do not inhibit a second rise of glucagon in a consecutive meal.

The investigators intend to study the effects of a 3-weeks high-protein diet in 80 subjects with NAFLD and T2DM on liver fat content (MR spectroscopy) and glucose metabolism. The investigators expect different results for slow protein (casein) and fast protein (whey), thus comparing both protein species. The two major clinical visits before and after the intervention period will include MRI spectroscopy, fasting blood sampling for later analysis, full anthropometric assessment, a mixed meal tolerance test and a set of behavioral tests, investigating decision making processes. In order to characterize the postprandial profiles (e.g. insulin, glucagon, amino acids) of the varying protein sources, preliminary meal tests are performed in overweight subjects with and without T2DM.

Detailed Description

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High-protein diets have been recently demonstrated to effectively reduce insulin resistance, derangements of the lipid profile and liver fat content in subjects with moderately and severely impaired glucose metabolism and non-alcoholic fatty liver disease (LeguAN, LEMBAS, DiNA-P, DiNA-D). The effects can be attributed to prolonged insulin secretion and improved second meal effect, higher energy expenditure by urea synthesis, suppression of glucagon or other mechanisms. Up to now, it is unclear, if proteins with slower or faster digestibility lead to differential results in these study designs. The proposed study will elucidate this question. The investigators hypothesize, that slowly-digestible proteins induce a prolonged insulin plateau supporting the second-meal effect. They also assume, that these dietary proteins lead to a markedly stronger short-term secretion of glucagon followed by desensitisation of this hormone release. Fast-digestible proteins, on the other hand, will presumably induce a smaller second-meal effect and do not inhibit a second rise of glucagon in a consecutive meal.

The investigators intend to study the effects of a 3-weeks high-protein diet in 80 subjects with NAFLD and T2DM on liver fat content (MR spectroscopy) and glucose metabolism. The investigators expect different results for slow protein (casein) and fast protein (whey), thus comparing both protein species. The two major clinical visits before and after the intervention period will include MRI spectroscopy, fasting blood sampling for later analysis, full anthropometric assessment, a mixed meal tolerance test and a set of behavioral tests to investigate decision making processes.

In order to characterize the postprandial hormonal and amino acid profiles (e.g. insulin, glucagon, amino acids) of the varying protein sources, preliminary meal tests are performed. The first tests assess the protein dose-finding in 20 participants, 10 with T2DM and 10 without. On each day of the dose-finding assessment pre-trial one of the following dosages is used in a single oral protein tolerance test (5 g, 10 g and 30 g of whey or casein each).The second tests assess whether 30 g mixes of whey and casein in variable proportions induce different hormonal profiles of glucagon and insulin in comparison with 30 g pea protein, served as drinks together with a standardized breakfast. Therefore, 20 subjects, 10 with Metabolic Syndrome and T2DM and 10 with Metabolic Syndrome without T2DM undergo seven separate investigation days. The third preliminary tests assess the role of the product matrix/consistency in 6 participants with overweight/obesity. Participants consume commercially available milk products each 30 g protein content (approx. 80% Casein) but with different product consistency on three separate investigation days. Subjects without prior diabetes diagnosis additionally undergo an initial oral glucose tolerance test (OGTT) to ensure healthy glucose levels.

All clinical assessments will be conducted in the Dept. Endocrinology, Diabetes and Nutrition, Charité, Campus Benjamin Franklin (Lead: Charité, A.F.H. Pfeiffer). Psychobehavioral tests (DIfE, Prof. Park), assessment of body fat distribution including liver fat (University Hospital Tuebingen, Dr. Machann) and measurements of amino acid levels throughout the meal tests (Technische Universität Berlin, Prof. Rohn) are secondary work packages.

Conditions

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Type2 Diabetes NAFLD

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

parallel-designed randomised controlled trial
Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Participants
For the preliminary meal tests all drinks and food supplements are provided in neutral bottles and cannot be identified by visual appearance, taste, texture or odour. Masking applied to participants, care providers, investigators and outcomes assessors.

For the interventional study provided drinks and food supplements were masked best possible for the participants.

Study Groups

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Whey protein group, 60g/day

Three weeks, daily supplementation with 60 g of whey protein

Group Type ACTIVE_COMPARATOR

protein supplement

Intervention Type DIETARY_SUPPLEMENT

protein supplement, daily 60 g of protein, 3 weeks of intervention; blinded to patients

Casein protein group, 60 g/day

Three weeks, daily supplementation with 60 g of casein protein

Group Type ACTIVE_COMPARATOR

protein supplement

Intervention Type DIETARY_SUPPLEMENT

protein supplement, daily 60 g of protein, 3 weeks of intervention; blinded to patients

pea protein group, 60g/day

Three weeks, daily supplementation with 60 g of pea protein

Group Type ACTIVE_COMPARATOR

protein supplement

Intervention Type DIETARY_SUPPLEMENT

protein supplement, daily 60 g of protein, 3 weeks of intervention; blinded to patients

placebo arm

Three weeks, daily supplementation with placebo

Group Type PLACEBO_COMPARATOR

placebo supplement

Intervention Type DIETARY_SUPPLEMENT

Placebo supplement, daily intake of placebo, 3 weeks of intervention; blinded to patients

Interventions

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protein supplement

protein supplement, daily 60 g of protein, 3 weeks of intervention; blinded to patients

Intervention Type DIETARY_SUPPLEMENT

placebo supplement

Placebo supplement, daily intake of placebo, 3 weeks of intervention; blinded to patients

Intervention Type DIETARY_SUPPLEMENT

Eligibility Criteria

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Inclusion Criteria

* healthy glucose levels or T2DM
* 40-79 years
* overweight/obesity


* T2DM
* with NAFLD
* 18-79 years

Exclusion Criteria

* type 1 diabetes, prediabetes
* currently receiving treatment with insulin
* lactose intolerance, or food intolerance/allergy to any of the study products
* severe endocrine, gastrointestinal, metabolic, cardiovascular, pulmonary, inflammatory or psychiatric disorder
* active or recent relevant cancer
* intake of glucocorticoids or other medication that influences glucose metabolism
* pregnancy, breastfeeding

Subcohort 2 (n=80):


* type 1 diabetes, prediabetes
* currently receiving treatment with insulin
* lactose intolerance, or food intolerance/allergy to any of the study products
* severe endocrine, gastrointestinal, metabolic, cardiovascular, pulmonary, inflammatory or psychiatric disorder
* active or recent relevant cancer
* intake of glucocorticoids or other medication that influences glucose metabolism
* pregnancy, breastfeeding
* claustrophobia
Minimum Eligible Age

18 Years

Maximum Eligible Age

79 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Technische Universität Berlin

OTHER

Sponsor Role collaborator

University Hospital Tuebingen

OTHER

Sponsor Role collaborator

German Institute of Human Nutrition

OTHER

Sponsor Role collaborator

Charite University, Berlin, Germany

OTHER

Sponsor Role lead

Responsible Party

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Prof. Dr. med. Andreas F. H. Pfeiffer

Head Dept. Endocrinology, Diabetes and Nutrition

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Andreas FH Pfeiffer, Prof. Dr.

Role: STUDY_DIRECTOR

Charité Universitätsmedizinh Berlin

Locations

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Charité Campus Benjamin Franklin

Berlin, , Germany

Site Status RECRUITING

Countries

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Germany

Central Contacts

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Stefan Kabisch, M.D.

Role: CONTACT

+4930 450 ext. 514429

Andreas FH Pfeiffer, Prof. Dr.

Role: CONTACT

+4930 450 ext. 514422

Facility Contacts

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Andreas FH Pfeiffer, Prof. Dr. med.

Role: primary

030 450 514 422

Stefan Kabisch, M.D.

Role: backup

+4930 450 ext. 514429

References

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Zhang J, Schafer SM, Kabisch S, Csanalosi M, Schuppelius B, Kemper M, Markova M, Meyer NMT, Pivovarova-Ramich O, Keyhani-Nejad F, Rohn S, Pfeiffer AFH. Implication of sugar, protein and incretins in excessive glucagon secretion in type 2 diabetes after mixed meals. Clin Nutr. 2023 Apr;42(4):467-476. doi: 10.1016/j.clnu.2023.02.011. Epub 2023 Feb 21.

Reference Type DERIVED
PMID: 36857956 (View on PubMed)

Other Identifiers

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MOCA

Identifier Type: -

Identifier Source: org_study_id

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