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Trial registered on ANZCTR
Registration number
ACTRN12617001518358
Ethics application status
Approved
Date submitted
17/10/2017
Date registered
31/10/2017
Date last updated
13/11/2019
Date data sharing statement initially provided
13/11/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
Los aMiGoS: Is LactOSe tolerance impacted by repeated exposure to A2 beta-casein MIlk, with effects on Gut COmfort Symptoms
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Scientific title
In young lactose intolerant adults, does the prolonged consumption of A1 beta-casein free milk products improve lactose absorption and tolerance by reduced gastrointestinal inflammation compared to conventional A1 and A2 beta-casein containing milk products
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Secondary ID [1]
292979
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Nil
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Universal Trial Number (UTN)
U1111-1201-8956
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Trial acronym
Los aMiGos
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Impaired digestion
304882
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Lactose intolerance
305148
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Condition category
Condition code
Diet and Nutrition
304193
304193
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0
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Other diet and nutrition disorders
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Inflammatory and Immune System
304472
304472
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0
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Other inflammatory or immune system disorders
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Subjects randomized to the intervention will be assigned, in a cross-over manner, to 2 weeks daily consumption of either conventional milk products or a2 milk products (500 ml of full fat milk + 80 g hard cheese), each preceded by 2 weeks of dairy avoidance. Participants need to avoid any other dairy products than provided and fill in the food questionnaires (checklist) throughout the intervention period.
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Intervention code [1]
299218
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Lifestyle
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Comparator / control treatment
Conventional milk which contains both a1 and a2 beta-casein protein.
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Control group
Active
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Outcomes
Primary outcome [1]
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Mean change in breath hydrogen between the two intervention arms.
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Assessment method [1]
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Timepoint [1]
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Pre lactose ingestion (fasting) and every 30 min post lactose ingestion for 5 hours before (baseline) and after the 2 weeks intervention.
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Secondary outcome [1]
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Analysis of digestive symptoms scores e.g. bloating, nausea, vomiting, diarrhea, gastric reflux and abdominal pain by 10 cm Visual Analog Scale (VAS) to measure the change in digestive symptoms before and after the 2 weeks of intervention.
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Assessment method [1]
339084
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Timepoint [1]
339084
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Pre lactose ingestion (fasting) and every 30 min post lactose ingestion for 5 hours before and after the 2 weeks intervention.
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Secondary outcome [2]
339085
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Comparison of gut inflammation between the two milk products as measured by fecal markers. This includes measuring fecal calprotectin using ELISA and stool cellular indices (protein and gene expression in intestinal cells).
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Assessment method [2]
339085
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Timepoint [2]
339085
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Baseline and 2 weeks post intervention (fasting).
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Secondary outcome [3]
339086
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Non targeted analysis of fecal metabolites between the two intervention arms by using non-targeted GC-MS .
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Assessment method [3]
339086
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Timepoint [3]
339086
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Baseline and 2 weeks post intervention (fasting).
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Secondary outcome [4]
339098
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Changes in systemic inflammatory response between the two intervention arms. This include circulating protein cytokines (IL-6, CRP, TNF-a) and immunoglobulin (IgG, IgA and IGM) in serum and PBMCs using ELISA.
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Assessment method [4]
339098
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Timepoint [4]
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Baseline and two weeks post intervention (fasting).
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Secondary outcome [5]
339099
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Differences in plasma glucose level using a Roche Cobas c311 autoanalyser by enzymatic colorimetric assay.
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Assessment method [5]
339099
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Timepoint [5]
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Pre lactose ingestion (fasting) and every 30 minutes post lactose ingestion for first hour then hourly for 5 hours before and after the two weeks intervention.
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Secondary outcome [6]
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Differences in plasma amino acid profiles between the two intervention arms using UPLC.
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Assessment method [6]
339100
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Timepoint [6]
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Baseline and two weeks post intervention (fasting).
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Secondary outcome [7]
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Analysis of the gastrointestinal symptoms assessed during the intervention measured by
Daily Live Gastrointestinal Symptom diary (LGS).
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Assessment method [7]
339101
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Timepoint [7]
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Daily for 3 days at baseline, and start and end of intervention arm.
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Secondary outcome [8]
339103
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Measure the change in serum peptides between the two intervention arms. This will include targeted analyses of beta-casomorphin-7 using LC-MS and non-targeted analyses of peptides using untargeted LCMS approach.
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Assessment method [8]
339103
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Timepoint [8]
339103
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Baseline and two weeks post intervention (fasting).
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Secondary outcome [9]
339919
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Analyse the changes in fecal microbiome between the two intervention arms.
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Assessment method [9]
339919
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Timepoint [9]
339919
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Baseline and 2 weeks post intervention (fasting)
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Secondary outcome [10]
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Analyse the change in miRNA between the two intervention arms.
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Assessment method [10]
339920
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Timepoint [10]
339920
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Baseline and 2 weeks post intervention (fasting).
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Secondary outcome [11]
340032
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Analyse the intestinal inflammation using MRI by measuring the intestinal wall thickness. between the two intervention arms.
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Assessment method [11]
340032
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Timepoint [11]
340032
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Baseline and 2 weeks post intervention (fasting).
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Secondary outcome [12]
340035
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Analyse the bowel motions between the two interventions as measured by Bristol Stool Scale.
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Assessment method [12]
340035
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Timepoint [12]
340035
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Daily for 3 days at baseline, and start and end of intervention arm.
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Secondary outcome [13]
340036
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Analyse the digestive symptoms e.g bloating, nausea, vomiting, diarrhea, gastric reflux and abdominal pain before and after the two weeks intervention by using 10 cm Visual Analog Scale (VAS) during the intervention.
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Assessment method [13]
340036
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Timepoint [13]
340036
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Daily for 3 days at baseline, and start and end of intervention arm.
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Secondary outcome [14]
340060
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Analyse the change in oxidative stress markers between the two intervention groups including glutathione (GSH), superoxide dismutase (SOD) using enzyme immunoassays from plasma.
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Assessment method [14]
340060
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Timepoint [14]
340060
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Baseline and 2 weeks post intervention (fasting).
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Eligibility
Key inclusion criteria
20-40 years
BMI 18-28 kg/m2
Self-described lactose intolerant
Lactose intolerant (confirmed by lactose tolerance test: breath hydrogen and symptoms)
No history of gastrointestinal disease or metabolic disease.
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Minimum age
20
Years
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Maximum age
40
Years
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
Are not lactose intolerant.
Have an allergy to milk.
Are diagnosed with gastrointestinal disease (i.e. celiac, Crohn’s, colitis, etc.) or pre-existing metabolic disease.
Are currently taking medications expected to interfere with normal digestive or metabolic processes including proton pump inhibitors, laxatives, antibiotics etc.
Have a medical history precluding a healthy state: history of myocardial infarction, angina, stroke, cancer or pre-existing diabetes, self-reported alcohol intake exceeding a moderate intake (>28 units per week).
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Allocation to the intervention sequence will be concealed through use of sealed envelopes.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Treatment randomization and allocation is performed by third party who is not involved in the study procedures or analyses by using a randomization table created by a computer software. .
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s
The people assessing the outcomes
The people analysing the results/data
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Intervention assignment
Crossover
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
Factorial ANOVA will be used to determine differences in the primary and secondary continuous endpoints. Secondary outcomes will be analysed by ANOVA, generalised estimating equations and regression models as appropriate.
Using a clinically relevant reduction in breath hydrogen of 50%, and based on data obtained from graded lactose challenges (12.5g versus 25g) to detect a difference of 99ppm/h to 54ppm/h with a standard deviation of 41 would require 18 subjects per group (sex) to achieve a 90% power with alpha set at 0.05.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
31/10/2017
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Actual
1/11/2017
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Date of last participant enrolment
Anticipated
1/05/2018
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Actual
12/11/2018
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Date of last data collection
Anticipated
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Actual
13/12/2018
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Sample size
Target
40
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Accrual to date
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Final
40
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Recruitment outside Australia
Country [1]
9243
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New Zealand
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State/province [1]
9243
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Auckland
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Funding & Sponsors
Funding source category [1]
297604
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Commercial sector/Industry
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Name [1]
297604
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AgResearch Ltd.
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Address [1]
297604
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Grasslands Research Centre
Tennet Drive
Palmerston North
Postcode: 4442
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Country [1]
297604
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New Zealand
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Funding source category [2]
297608
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Commercial sector/Industry
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Name [2]
297608
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The a2 Milk Company Limited
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Address [2]
297608
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Shortland Street
Auckland
1010
New Zealand
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Country [2]
297608
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New Zealand
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Primary sponsor type
University
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Name
University of Auckland
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Address
University of Auckland Research Office
Level 10, Building 620
49 Symonds Street
Suburb/Town: Aucklnad
Postcode: 1010
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Country
New Zealand
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Secondary sponsor category [1]
296618
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Commercial sector/Industry
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Name [1]
296618
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The a2 Milk Company Limited
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Address [1]
296618
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Shortland Street
Auckland
1010
New Zealand
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Country [1]
296618
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New Zealand
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
298697
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Central Health and Disability Ethics Committee
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Ethics committee address [1]
298697
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Ministry of Health Ethics Department 133 Molesworth Street Wellington 6011 New Zealand
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Ethics committee country [1]
298697
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New Zealand
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Date submitted for ethics approval [1]
298697
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20/09/2017
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Approval date [1]
298697
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25/10/2017
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Ethics approval number [1]
298697
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17/CEN/198
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Summary
Brief summary
Many people report digestive problems with dairy products. This dairy intolerance may sometimes be caused by lactose intolerance, but not all people reporting intolerance have confirmed lactose intolerance. Rather, some forms of dairy intolerance may be caused or exacerbated by the protein in milk which manifests as inflammation of the small intestine. Conventional milk contains the A1 version of bovine beta-casein protein. A1 beta-casein may cause intolerance type symptoms in some consumers, resulting in small intestinal inflammation that may also contribute to lactose intolerance. It is proposed that these effects are absent or reduced when dairy products free of this variant are consumed. The A2 version of beta-casein is broken down differently, and may not cause intolerance symptoms in consumers who are sensitive to the A1 beta-casein protein. However, the impacts of variation in beta-casein and intestinal inflammation on lactose malabsorption have not yet been investigated in humans. Due to the possible exacerbation of lactose malabsorption by intestinal inflammation, this study aims to understand whether tolerance to lactose is impacted by repeated exposure to variants of beta-casein.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
77926
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Prof David Cameron-Smith
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Address
77926
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The Liggins Institute
University of Auckland
Building 505
Grafton, Auckland
1023
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Country
77926
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New Zealand
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Phone
77926
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+6499231336
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Fax
77926
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+649 3738763
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Email
77926
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[email protected]
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Contact person for public queries
Name
77927
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David Cameron-Smith
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Address
77927
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The Liggins Institute
University of Auckland
Building 505
Grafton, Auckland
1023
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Country
77927
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New Zealand
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Phone
77927
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+6499231336
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Fax
77927
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+649 3738763
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Email
77927
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[email protected]
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Contact person for scientific queries
Name
77928
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David Cameron-Smith
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Address
77928
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The Liggins Institute
University of Auckland
Building 505
Grafton, Auckland
1023
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Country
77928
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New Zealand
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Phone
77928
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+6499231336
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Fax
77928
0
+649 3738763
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Email
77928
0
[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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