Type 2 Diabetes Clinical Trial
Official title:
Dairy Lipids, Proteins, and the Metabolic Syndrome - "DairyHealth"
Dairy food contains a large amount of long-chain saturated fat, which traditionally has been
linked to increased risk of cardiovascular disease (CVD). However, recent data indicates a
more neutral role. Milk fat contains large amounts of medium-chain saturated fatty acids
(MC-SFA), which may have beneficial effects on human health. In addition, milk proteins and
in particular whey proteins have been shown to have a beneficial effect on glucose disposal
as well as anti-inflammatory properties. Therefore dairy products have a potential role in
the treatment of the metabolic abnormalities of metabolic syndrome (MeS). However, human
data from intervention studies are lacking.
Aims of this project is to explore and understand the influence on human health of both
medium-chain saturated fatty acids from milk fat and bioactive milk proteins per se as well
as their interaction and potential positive synergy on the MeS.
The investigators hypothesize that whey protein and medium-chain saturated fatty acids
improve insulin sensitivity, postprandial lipid metabolism, blood pressure and inflammatory
stress in humans and that they possess preventive effects on the risk of developing CVD and
type 2 diabetes mellitus (T2DM).
A total of 64 people with MeS or abdominal obesity will be included. The design is a
randomized double-blinded, controlled parallel diet-intervention trial.
Subjects are assigned one of four experimental diets for 12 weeks. The diets consist of
either a diet with low levels of MC-SFA + whey protein (LF + whey), a diet high in MC-SFA +
whey protein (HF + whey), a diet high in MC-SFA + casein protein (HF + casein) or a diets
with low levels of MC-SFA + casein protein (LF + casein). The subjects are advised how to
integrate the test foods in their habitual diet, which also continues unchanged. The
subjects' energy intake is matched so they are kept weight stable throughout the study.
Status | Completed |
Enrollment | 63 |
Est. completion date | December 2012 |
Est. primary completion date | December 2012 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: Metabolic syndrome - Central obesity (Waist: female = 80 cm; male = 94 cm) - with two or more of the following - Fasting triglyceride > 1.7 mmol/l - HDL-cholesterol; male < 1.03 mmol/l, female < 1.29 mmol/l - BP = 130/85 - Fasting plasma glucose = 5,6 mmol/l (but not diabetes) Or abdominal obesity (Waist: female = 80 cm; male = 94 cm) Exclusion Criteria: - Significant cardiovascular, renal or endocrine disease - Psychiatric history - Treatment with steroids - Alcohol- or drug-addiction - Pregnancy or lactation |
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Factorial Assignment, Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor), Primary Purpose: Treatment
Country | Name | City | State |
---|---|---|---|
Denmark | Aarhus University Hospital | Aarhus | Aarhus C |
Lead Sponsor | Collaborator |
---|---|
University of Aarhus | Aarhus University Hospital, Arla Foods, University of Dublin, Trinity College, Wageningen University |
Denmark,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Postprandial triglyceride response | Compare the changes in mean difference of 6 hours incremental area under the curve (iAUC) (week 12 - week 0) between the groups and the intervention components. | Change from week 0 to week 12 | No |
Secondary | 24 hour blood pressure (BP) | Spacelabs, model 90207/90217, USA | Change from week 0 to week 12 | No |
Secondary | Indirect calorimetry | Measured 2 times during meal test. | Change from week 0 to week 12 | No |
Secondary | Dexa-scan (body composition) | Total body fat percentage, lean mass, gynoid, and android fat percentage, and total body weight. | Change from week 0 to week 12 | No |
Secondary | Weight | Change from week 0 to week 12 | No | |
Secondary | Biomarkers in blood samples | Glucose, insulin, glucagon, HbA1c. free fatty acids, Lipid profile (total-cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride). Inflammations markers (interleukin-6 (IL-6), interleukin-10 (IL-10), interleukin-1 receptor antagonist (IL-1RA), interleukin-1 beta (IL-1b), high sensitive c-reactive protein (hs-CRP), adiponectin, monocyte chemoattractant protein-1 (MCP-1), Rantes (CCL5)). Incretins (GLP-1, GIP). Nutrigenomics. Metabolomics. Proteomics. | Change from week 0 to week 12 | No |
Secondary | Waist and hip circumference | Change from week 0 to week 12 | No | |
Secondary | Fat tissue biopsy | Fat tissue gene expression. Twice during meal test. | Change from week 0 to week 12 | No |
Secondary | Biomarkers in urine | Nutrigenomics and metabolomics | Change from week 0 to week 12 | No |
Secondary | Glucose tolerance | Oral glucose tolerance test (OGTT) (with insulin and glucose measurement at time -15 min, -10 min, 0 min, 30 min, 60 min, and 120 min). Hereby calculating the homeostatic model assessment of insulin resistance (HOMA-IR) and the Matsuda index. | Change from week 0 to week 12 | No |
Secondary | Dietary compliance | 3-day food diary. | Change from week 0 to week 12 | No |
Secondary | Postprandial apolipoprotein-48 (apoB-48), 6 hour | Meal test, blood samples at time 0,2,4 and 6 hours. | Change from week 0 to week 12 | No |
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