- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01925365
Health Benefits of Whole Grain Oats in Population at Risk of Cardio-metabolic Disease
Hypocholesterolaemic and Prebiotic Effects of a Whole-grain Oat-based Breakfast Cereal in a Cardio-metabolic 'at Risk' Population
Intake of whole grain cereals has been associated with reducing the risk of hyperlipidaemia and heart disease, however the mechanisms by which oats or oat fractions exert this effect is not totally clear. Furthermore, several large epidemiological studies and a number of recent meta-analyses of nutritional interventions have reported a positive association between increased whole grain intake and reduced risk of developing a range of chronic diseases. Recognising the important role of the gut microbiota in metabolism and metabolic disease risk, we examined the impact of whole grain oats on the human gut microbiota and cardio-metabolic risk factors.
The main aims of this human study is to determine the effectiveness of a low GI whole grain oats breakfast cereal compared to a high GI, refined breakfast cereal to beneficially modulate gut microbiota and its metabolic output, plasma lipids, gut satiety hormones and inflammation markers in an at risk of cardio-metabolic disease population
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Berkshire
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Reading, Berkshire, United Kingdom, RG6 6AP
- Department of Food and Nutritional Sciences, University of Reading
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Men and Women (age range 23-64 y)
- BMI of 18-30kg/m2
- Fasting glucose concentration >5.5 but <7.5mmol/L
- Total cholesterol >5.2 but <7.8mmol/L
Exclusion Criteria:
- medical history of heart disease, diabetes mellitus, cancer, pancreatitis or renal disease
- use of lipid lowering drugs, systemic corticosteroids or drugs for regulating hemostasis
- exposure to any investigational agent <42 d before the study
- presence of gastrointestinal disorder or use of a drug likely to alter gastrointestinal motility or nutrient absorption
- history of substance misuse or alcoholism
- current pregnancy, planned pregnancy, or given birth in the past 12 months
- antibiotic treatment 6 weeks previous to study start date
- allergy or intolerance to intervention breakfast cereals components
- smoking
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Wholegrain cereal oats
Volunteers had to consume wholegrain cereals oats (WGO)(45g/day) for six weeks followed by a four week wash out period.
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Volunteers had to consume wholegrain cereals oats (WGO)(45g/day) for six weeks followed by a four week wash out period
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Placebo Comparator: Non wholegrain cereals
Volunteers had to consume non wholegrain cereals (NWG)(45g/day) for six weeks followed by a four week wash out period.
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Volunteers had to consume non wholegrain cereals (NWG)(45g/day) for six weeks followed by a four week wash out period.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Changes in faecal bacteria population
Time Frame: Changes in faecal bacteria populations upon consumption of the test and control cereals . Faecal samples were collected and analysed at 0, 42, 56, 112, 140 days
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Changes in faecal bacteria populations upon consumption of the test and control cereals . Faecal samples were collected and analysed at 0, 42, 56, 112, 140 days
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Faecal short chain fatty acids
Time Frame: High-performance liquid chromatography (HPLC) was performed to determine faecal SCFA concentration. Faecal samples were collected and analysed at 0, 42, 56, 112, 140 days
|
High-performance liquid chromatography (HPLC) was performed to determine faecal SCFA concentration. Faecal samples were collected and analysed at 0, 42, 56, 112, 140 days
|
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Changes in plasma lipids
Time Frame: Fasted plasma samples were analysed for determination of triacylglycerol (TAG), total cholesterol (TC), HDL-cholesterol, LDL-cholesterol. Blood plasma samples were collected and analysed at 0, 42, 56, 112, 140 days
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Fasted plasma samples were analysed for determination of triacylglycerol (TAG), total cholesterol (TC), HDL-cholesterol, LDL-cholesterol. Blood plasma samples were collected and analysed at 0, 42, 56, 112, 140 days
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Other Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Changes in insulin resistance, PYY and GLP-1
Time Frame: Fasted plasma samples were analysed for determination of insulin resistance, PYY and GLP-1. Blood plasma samples were collected and analysed at 0, 42, 56, 112, 140 days
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Fasted plasma samples were analysed for determination of insulin resistance, PYY and GLP-1. Blood plasma samples were collected and analysed at 0, 42, 56, 112, 140 days
|
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Changes in inflammatory markers
Time Frame: Fasted plasma samples were analysed for determination of IL-6, TNF-a while saliva samples were analysed for sIgA and faecal samples for calprotectin. Blood plasma samples and saliva and faecal samples were collected and analysed at 0, 42, 56, 112, 140
|
Fasted plasma samples were analysed for determination of IL-6, TNF-a while saliva samples were analysed for sIgA and faecal samples for calprotectin. Blood plasma samples and saliva and faecal samples were collected and analysed at 0, 42, 56, 112, 140
|
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Changes in dietary intake
Time Frame: 4-day diet diaries were collected analysed, to determine the macro and micronutrient content of the participant's diets during each intervention arm. Diet diaries were collected at were collected and analysed at 42 and 112 days.
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4-day diet diaries were collected analysed, to determine the macro and micronutrient content of the participant's diets during each intervention arm. Diet diaries were collected at were collected and analysed at 42 and 112 days.
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Prof. Julie A Lovegrove, BSc, PhD, RNutr, University of Reading
Publications and helpful links
General Publications
- Connolly ML, Lovegrove JA, Tuohy KM. In vitro evaluation of the microbiota modulation abilities of different sized whole oat grain flakes. Anaerobe. 2010 Oct;16(5):483-8. doi: 10.1016/j.anaerobe.2010.07.001. Epub 2010 Jul 17.
- Connolly ML, Tuohy KM, Lovegrove JA. Wholegrain oat-based cereals have prebiotic potential and low glycaemic index. Br J Nutr. 2012 Dec 28;108(12):2198-206. doi: 10.1017/S0007114512000281. Epub 2012 Feb 24.
- Connolly ML, Tzounis X, Tuohy KM, Lovegrove JA. Hypocholesterolemic and Prebiotic Effects of a Whole-Grain Oat-Based Granola Breakfast Cereal in a Cardio-Metabolic "At Risk" Population. Front Microbiol. 2016 Nov 7;7:1675. doi: 10.3389/fmicb.2016.01675. eCollection 2016.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- UREC 09/12
- University of Reading (Other Identifier: Reading University)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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