Omega 3 and Fibre Intervention Study to Improve Metabolic Health
Utilising Omega 3 and Fibre to Improve Metabolic Health: A Proof of Concept Nutritional Intervention Study Targeting the Gut Microbiome
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Diet and nutrition are key determinants of chronic disease. However, additional information is needed on which bioactive compounds and in what amounts they should be consumed to obtain a given health benefit. One of the biggest recent breakthroughs in science has been realisation of the importance of the contents, function and homeostasis of the gut microbiome in human health.
Dietary fibre: The influence of diet on the microbiome is illustrated by vast differences across cultures where African communities who have a plant based diet consume 7-fold more fibre compared with the West obtaining more of their energy requirements via utilization of gut microbiota. Hunter-gatherers have been shown to have 30-40% greater numbers and diversity of species than Western populations. Also, a multigenerational murine study showed a Western diet was responsible for depletion of microbiota diversity. Diversity is emerging as the common marker of good gut health across populations and related to production of beneficial short chain fatty acids (SCFAs). The fermentation of dietary fibre changes the profile of microbial-derived metabolites within the GI tract, most importantly SCFAs. Low fibre intake results in reduced production of SCFAs and also shifts the gastrointestinal (GI) microbiota metabolism to the utilization of less favourable nutrients, leading to the production of potentially detrimental metabolites derived from the fermentation of amino acids. Prevention of the generation of such metabolites through dietary fibre is one of the main mechanisms for the prevention of colon cancer. There is considerable observational evidence that fibre intake is beneficial for human health from observational epidemiological studies. However, findings from intervention studies are less consistent. The variability in human intervention studies could also arise from the highly inter-individualized responses of the human GI microbiome to dietary fibres providing a rationale for the individualization of dietary fibre applications.
Omega 3 fatty acids: In humans, omega-3 fatty acids are readily incorporated into cell membranes resulting in increased cell fluidity, which may improve glucose transport. Additionally, omega-3 supplementation enhances resting fat oxidation and glycogen storage, potentially contributing to improved insulin sensitivity. Omega-3 supplementation may also reduce cardiovascular disease risk by reducing circulating very-low-density lipoproteins (LDL), triacylglycerols and free fatty acids (FFA). It also has additional anti-inflammatory and antithrombotic properties. Previously published data by the investigators suggest the potential use of omega-3 supplementation to improve the microbiome composition. Although trials of supplements are inconsistent, current recommended daily intake for omega-3 is 250 mg (active EPA and DHA) for the general population and higher for patients with cardiovascular disease.
The study will be a proof of concept mechanistic study that will show to what extent omega-3 fatty acid supplementation adds to the benefits of a probiotic intervention in terms both of microbiome diversity and composition and of SCFA production. Moreover, it will show whether this results in measurable improvements in other markers of fatty acid metabolism and in the balance of various T-cell lineages some of which are pro-inflammatory and others which are anti-inflammatory. In this study we will test if 1) intake of fibre induces an increase in microbiome diversity, increased SCFA production in the gut and less inflammatory T-cell composition 2) omega-3 supplementation provides a comparable benefit in terms of microbiome diversity and cardiometabolic improvement to that supplied by fibre.
The study will be a randomised controlled intervention study in which participants will be grouped into two different treatment arms. Randomisation will control for equal distribution of key characteristics that may confound between group comparisons and will be assessed by analysis of baseline data.
80 participants over the age of 18 years will be recruited from the TwinsUK database.The total length of the dietary intervention will be 6 weeks with an initial visit at baseline, and one final visit at 6 weeks.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
England
-
London, England, United Kingdom, SE1 7EH
- King's College London
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Participant eligibility includes those aged >18 years who have a body mass index (BMI) between 20 and 39.9 kg/m2. Participants must have low habitual fibre consumption of less than 15g/day.
Exclusion Criteria:
- Refuse or are unable to give informed consent to participate in the study
- Consume on average >15 g/day of NSP and RS (men and women) as part of their diets
- Are taking the following medications: immunosuppressants, amiodarone and/or perhexiline
- Are currently following or anticipated to commence a specialised commercially available weight loss diet and/or program
- Have a diagnosis of insulin dependent diabetes mellitus
- Have a current or prior history of cardiovascular, cerebrovascular or peripheral vascular disease
- Have clinically relevant pulmonary, gastro-intestinal, renal, metabolic, hematological, neurological, psychiatric, systemic or any acute infectious disease or signs of acute illness
- Are women who are pregnant
- Have psychosocial or gastrointestinal (e.g. malabsorptive conditions such as IBS, coeliac)
- Have contraindications included bulimia nervosa, substance abuse, clinically significant depression, or current psychiatric care
- Have had a recent (within 3 months) of change in dose/regime or introduction of vitamin E, C or high dose vitamin D (>3000 IU), fish oil, prebiotics or probiotics.
- Are vegetarian and thus unwilling to take fish oil capsules
- People on anticoagulants and people with atrial fibrillation
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Omega 3 fatty acid supplements
Participants in this arm (N>32) will be required to take one 500mg capsule of Omega 3 along with a meal daily for 6 weeks.
|
Participants in the bottom median of dietary fibre intake (<15 g per day) will be randomised into one of two arms.
Participants in the second arm (N>32) will be required to take one 500mg capsule of Omega 3 along with a meal daily for 6 weeks.
|
|
Active Comparator: Inulin fibre
The participants in the control arm (N>32) will be asked to take 20 g of fibre (inulin fibre) per day for a period of 6 weeks.
|
The participants in the control arm (N>32) will be asked to take 20 g of fibre (resistant starch + inulin) per day that are known favour production of SCFAs in the colon for a period of 6 weeks.
The inulin powder will be provided in pre-weighed sachets containing 10g each which can be taken mixed in water or a suitable beverage of choice taken twice (morning and evening) per day.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Gut microbiome diversity
Time Frame: 3-6 weeks
|
16s sequencing will be carried out on whole stool samples to measure gut microbial diversity and composition.
Stool samples collected and frozen within two hours will be assessed in greater detail for markers of microbiome function and gut health which include measuring key short-chain fatty acids using mass spectrometry.
|
3-6 weeks
|
|
Metabolites
Time Frame: 3-6 months
|
Measure of faecal metabolites such as short chain fatty acids, blood glucose, blood lipids, ketone bodies
|
3-6 months
|
|
Immune phenotypes
Time Frame: 3-6 months
|
Markers of immune response measured using peripheral blood mononuclear cells
|
3-6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of hunger
Time Frame: 6 weeks
|
Appetite questionnaire
|
6 weeks
|
|
Assessment of sleep
Time Frame: 6 weeks
|
Sleep pattern will be assessed using a validated questionnaire (Medical Outcomes Survey sleep questionnaire) at baseline, mid-intervention and the end of the intervention.
|
6 weeks
|
|
Assessment of physical exercise
Time Frame: 6 weeks
|
Physical exercise will be assessed using a validated questionnaire(Sf-12) at baseline, mid-intervention and the end of the intervention.
|
6 weeks
|
|
Assessment of Mood
Time Frame: 6 weeks
|
Mood will be assessed using a validated questionnaire (HADS, anxiety and depression validated questionnaire) at baseline, mid-intervention and the end of the intervention.
|
6 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Ana Valdez, Dr, King's College London
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 234186
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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