Commercial Prebiotic Supplement Study
Effect of Prebiotic in Type 2 Diabetes (Diabetes and Health Study)
Previous work in 2015/16 has identified changes in the gut microbiota with prebiotic (Molkosan®) supplement. It report significant changes in metabolic health bio-markers and faecal SCFA profile in 18 health adult subjects consuming 20 ml of product twice a day. Improvement in fasting metabolic parameters was observed flowing the intervention period. A reduction on Total Cholesterol, Glucose, Triglycerides and Insulin was observed.
In this study, a lower dose (20ml/d) in subjects with type 2 diabetes will be examed, over an extended period of time (12 week period) to match the profile of the intended consumer and provide preliminary data to support a larger multi-centre trial.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The study will be conducted in males and females with type 2 diabetes managed by diet and lifestyle alone.
The participants who meet the inclusion and exclusion criteria of the study will attend a screening visit where they will complete a medical screening and sign the consent form for participation in the study. Participates will visit the Human Nutrition Unit at the Rowett Institute to provide samples at week 0 (baseline), week 6 and week 12.
Participants' height, weight, and blood pressure will also be recorded. The investigators will measure HbA1c by a finger prick blood sample to confirm whether participants are a prediabetic or type 2 diabetic subjects. A 3-day weighed intake food diary will be completed during the initial washout period (minimum of 7 days) of the study in order to note their normal eating habits. No probiotic or prebiotics to be consumed during washout period and study period.
During the study periods, participants will take 20ml of prebiotic daily over the 12 consecutive weeks.
For the study visits, each participant will undergo, on two separated occasions, an OGTT, with and without the product at week 0 (to assess acute effects, prior to chronic ingestion) and at week 12 (to assess acute effects after chronic ingestion). The two OGTTs (with and without test product) will be separated by a period of 48 hr. Thus, each participant will have four OGTTs during the study. To minimise systematic errors, one half of the participants will start with the test product OGTT and the other half will start without product OGTT. The starting order will be determined randomly. Six blood samples will be collected during the course of 3 hours (0, 30, 60, 90,120 and 180 min) using a cannulation after consuming 75 g of Polycal liquid (glucose load). Together with OGTT, breath samples will be taken every 30 min for measuring hydrogen and methane.
Only one fasted blood sample will be taken at week 6 (OGTT will not be performed at week 6).
Finger prick blood sample will be taken at week 12 to monitor for changes in HbA1c levels after prebiotic supplement.
Plasma samples will be collected from all blood samples from OGTTs and week 6 blood sample. Plasma glucose and lipid profiles (total cholesterol, HDL, LDL and triglycerides) will be measured by KONI analysis at the University of Aberdeen. Insulin will be measured by ELISA by researchers. All the plasma samples which are taken before and after taking the prebiotic supplement also be analysed for GLP-1, GIP, c-peptide and glucagon analysis by luminex assay.
GLP-1 and GIP are incretins which are produced in the intestinal mucosa and are normally secreted when food is eaten in order to reduce glycaemic exclusion by causing an increase in insulin secretion. These incretins are involved in the early stage of the insulin secretory response however the plasma insulin response is also influenced by hepatic insulin extraction which GLP-1 and GIP measurement cannot determine, therefore to optimise this, C-peptide will be also measured in this study.
All the data will be compared before and after supplementation and values are presented by means ± standard deviations.
From the faecal samples, the SCFA content of the samples to be determined by capillary gas chromatography. SCFA to be quantified against authentic standards of acetate, propionate, butyrate, valerate and the branched chain fatty acids iso-butyrate and iso-valerate. The lower limit for reliable detection of each product is 0.2 mM. DNA to be extracted at University of Aberdeen using the FastDNA spin kit for faeces following the manufacturer's instructions and quantitative PCR (qPCR). Samples and standards are prepared in 96 well plate format, enabling the use of a multichannel pipettes for setting up the running plate. PCR primer sets and amplification conditions are as described in previous studies.
The complete dataset will be analysed and values will be presented as a mean value and standard deviation. Then the baseline value and the value after supplementation (at 6 and 12 weeks) will be compared. Statistically significantly differences will be calculated by statistician with power calculate.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Alexandra M Johnstone, PhD
- Phone Number: 00441224438614
- Email: alex.johnstone@abdn.ac.uk
Study Contact Backup
- Name: Karen Scott, PhD
- Phone Number: 00441224438730
Study Locations
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-
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Aberdeen, United Kingdom, AB25 2ZD
- The Rowett Institute, Human Nutrition Unit
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Impaired glucose tolerance (IGT, identified by HbA1c) or type 2 diabetes (lifestyle management; identified by HbA1c) age 18-65, with BMI 18-40 kg m-2, measured at screening visit.
Exclusion Criteria:
- Type 1 Diabetes, Severe gastrointestinal disorders (IBD), Kidney disease, Thromboembolic or coagulation disease, Hepatic disease, Alcohol or any other substance abuse, Eating disorders, Unregulated thyroid disease, Antibiotic use within the last 3 months, including proscribed and prescribed use. Current probiotic use or prebiotic use. Medication for glucose regulation. Female with breast feeding.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: 12 type 2 diabetes patients
Long-term dietary (12 weeks) intervention of 20ml of prebiotic per day
|
12 volunteers will take 20ml of prebiotic per day for 12 weeks
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of oral glucose tolerance test (OGTT)
Time Frame: At baseline and 12 weeks prebiotic consumption
|
Six blood samples will be collected during the course of 3 hours (0, 30, 60, 90,120 and 180 min) using a cannulation after consuming 75 g of Polycal liquid (glucose load).
Plasma glucose level will be measured by KONI analysis and
|
At baseline and 12 weeks prebiotic consumption
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of insulin levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
Six blood samples will be collected during the course of 3 hours (0, 30, 60, 90,120 and 180 min) using a cannulation after consuming 75 g of Polycal liquid (glucose load).
insulin level will be measured by luminex assay.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
HbA1c measured by Alere Afinion™ AS100 Analyzer
Time Frame: At baseline and 12 weeks prebiotic consumption
|
The term HbA1c refers to glycated haemoglobin. It develops when haemoglobin, a protein within red blood cells that carries oxygen throughout the body. By measuring glycated haemoglobin (HbA1c) can indicate blood sugar levels. Finger prick method will be introduced to collect the small amount of blood samples into the Alere Afinion™ AS100 Analyzer cartridge. Insert cartridge to the machine to read the data. Inclusion criteria will be the levels above 6 % (42mmol/mol). We will also measure HbA1c at 12 week to monitor for changes. |
At baseline and 12 weeks prebiotic consumption
|
|
Change of BMI (kg/m^2) measurement
Time Frame: At baseline and 12 weeks prebiotic consumption
|
Weight or Body Mass is defined as the quantity of matter in the body, measured by weight (kg) i.e. the force that matter exerts under standard gravitational effect.
Height (m) will be recorded for conjunction with weight measurements to calculate Body Mass Index (BMI) values.
|
At baseline and 12 weeks prebiotic consumption
|
|
Change of Total Cholesterol levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
Total cholesterol (HDL and LDL -Cholesterols) will be measured by KONI analysis at University of Aberdeen.
Separately measured HDL- and LDL-cholesterols levels will be combined for total cholesterol levels.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of GLP-1 levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
The incretin hormones, glucagon-like peptide-1 (GLP-1) secretion, contributes to glucose intolerance.
GLP-1 levels will be measured by luminex assay.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of GIP levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
Glucose-dependent insulinotropic polypeptide (GIP) is potentiate the insulin response to nutrients.
Insulinotropic capacity of GIP is markedly diminished in type 2 diabetes.
Incretin hormone GIP will be measured by luminex assay.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of triglyceride levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
Triglyceride levels will be measured for identifying the lipid profiles.
Triglyceride will be measured by KONI analysis.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of C-peptide levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
C-peptide are involved to hepatic insulin extraction.
C-peptide levels are measured by luminex assay.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of glucagon levels
Time Frame: At baseline, 6 weeks and 12 weeks prebiotic consumption
|
Glucagon levels will be measured by luminex assay.
|
At baseline, 6 weeks and 12 weeks prebiotic consumption
|
|
Change of fermentation markers
Time Frame: At baseline and 12 weeks prebiotic consumption
|
Breath samples will be measured hydrogen and methane levels
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At baseline and 12 weeks prebiotic consumption
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Alexandra M Johnstone, PhD, University of Aberdeen, The Rowett Institute
Publications and helpful links
General Publications
- Walker AW, Ince J, Duncan SH, Webster LM, Holtrop G, Ze X, Brown D, Stares MD, Scott P, Bergerat A, Louis P, McIntosh F, Johnstone AM, Lobley GE, Parkhill J, Flint HJ. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J. 2011 Feb;5(2):220-30. doi: 10.1038/ismej.2010.118. Epub 2010 Aug 5.
- Gibson GR, Roberfroid MB. Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. J Nutr. 1995 Jun;125(6):1401-12. doi: 10.1093/jn/125.6.1401.
- Kenteu B, Noubiap JJ, Etoa MC, Azabji-Kenfack M, Dehayem M, Sobngwi E. Acute glycaemic effects of co-trimoxazole at prophylactic dose in healthy adults. BMC Endocr Disord. 2016 Nov 15;16(1):62. doi: 10.1186/s12902-016-0142-6.
- Marathe CS, Rayner CK, Lange K, Bound M, Wishart J, Jones KL, Kahn SE, Horowitz M. Relationships of the early insulin secretory response and oral disposition index with gastric emptying in subjects with normal glucose tolerance. Physiol Rep. 2017 Feb;5(4):e13122. doi: 10.14814/phy2.13122. Epub 2017 Feb 27.
- Salonen A, Lahti L, Salojarvi J, Holtrop G, Korpela K, Duncan SH, Date P, Farquharson F, Johnstone AM, Lobley GE, Louis P, Flint HJ, de Vos WM. Impact of diet and individual variation on intestinal microbiota composition and fermentation products in obese men. ISME J. 2014 Nov;8(11):2218-30. doi: 10.1038/ismej.2014.63. Epub 2014 Apr 24.
- Yanagimachi T, Fujita Y, Takeda Y, Honjo J, Sakagami H, Kitsunai H, Takiyama Y, Abiko A, Makino Y, Kieffer TJ, Haneda M. Dipeptidyl peptidase-4 inhibitor treatment induces a greater increase in plasma levels of bioactive GIP than GLP-1 in non-diabetic subjects. Mol Metab. 2016 Dec 31;6(2):226-231. doi: 10.1016/j.molmet.2016.12.009. eCollection 2017 Feb.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
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
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Study 805
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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