- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06566157
PROMOTE: The Effect of a Six Week Prebiotic Supplementation on Wellbeing of Young Adults. (PROMOTE)
PROMOTE: The Effect of Prebiotic Supplementation on Salivary Cortisol Awakening Response in Young Adults With Mild-To-Moderate Self-Reported Stress: A Double Blinded Parallel Randomised Controlled-Trial.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Hampshire
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Southampton, Hampshire, United Kingdom, SO16 6YD
- NIHR Southampton Clinical Research Facility
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aged 18-25 at time of recruitment
- Body Mass Index (18.5 - 29.9 kg) : Healthy - Overweight
- Stress score of 15≤ - ≥25 (DASS)
- Willing and with capacity to give informed consent to participate at time of recruitment
- Speak and comprehend English to a good standard
- In good general health
- Willing to provide stool, urine and blood (8mL) sample during intervention
- Willing to attend 4 visits to Southampton General Hospital Clinical Research Facility over 10-11 weeks
Exclusion Criteria:
- Consuming ≥ 14 units of alcohol/week (6 x 175 mL of wine, 6 pints of 4% beer)
- Learning or behavioural difficulties (assessed on individual basis)
- Planning a pregnancy in the next 6 months, pregnant, lactating or had a recent birth ≥6 months
- Currently smoking or using e-cigarette, vape
- Vulnerable adults (with self reported sever or very severe stress score (DASS)
- Unwilling to suspend existing probiotic / prebiotic supplementation (with additional 4 weeks washout) before starting study.
Medical exclusions:
- Actively involved in therapy or psychiatric intervention of a diagnosed mental health condition
- Prescribed psychotropic medication (Antidepressants, Monoamine Oxidase Inhibitors (MAOI's), Antipsychotics, sleeping pills, mood stabilisers etc)
- Allergic to milk, soy, corn, penicillin or fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPS)
- Currently prescribed laxatives, enemas, anti-coagulants or painkillers
- Existing medical condition: cancer, hepatobiliary surgery, diabetes or diagnosed gastrointestinal diseases (irritable bowel disease, ulcerative colitis)
- Involved in a recent pharmacology/psychological intervention, last 6 months
- Recent antibiotic prescription, last 6 months
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Experimental: Prebiotic
WellBiome® prebiotic complex Inulin 67%, Xylooligosaccharides (XOS) 27%, Magnesium Chloride (MgCl2) 9.8 %
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WellBiome® prebiotic complex: Inulin 67%, XOS 27%, Magnesium Chloride (MgCl2) 9.8 %
Other Names:
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Placebo Comparator: Maltodextrin
Maltodextrin (Corn origin)
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Placebo
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Salivary Cortisol Awakening Response - Biological salivary cortisol (µg/dL)
Time Frame: 6 collections across two working mornings per timepoint. (2 'baseline' - week 0 before supplementation; 2 'endpoint' - week 6 of supplementation ; 2 'follow-up' - within 3rd week (week 9) of supplement end)
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Salivary Cortisol Awakening Response (µg/dL) Measured on awakening and hereafter at 0, 15 , 30, 45 minutes Quantified by ELISA and presented as area under the curve, for each timepoint. Example outcome: 'Awakening salivary cortisol response was significantly lower in the prebiotic group compared to the placebo mean difference: -2.27( 95CI-3.68, -0.87) group after 6 weeks of supplementation.' [result sourced from clinicaltrials.gov NCT0521254] |
6 collections across two working mornings per timepoint. (2 'baseline' - week 0 before supplementation; 2 'endpoint' - week 6 of supplementation ; 2 'follow-up' - within 3rd week (week 9) of supplement end)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Faceal microbial sequencing and interventional group microbiota compositional change
Time Frame: Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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16S ribosomal ribonucleic acid (rRNA) sequencing of stool samples measuring microbial composition change. Units: Read counts, Operational Taxanomic Units (OTUs) and Relative abundance provide quantifications of the amount of bacterial genetic sequence present in a stool sample building an approximation of the faecal microbial composition to at least the genus level. Results are typical reported in compositional scores like alpha and beta diversity. Bray-Curtis dissimilarity is a scale of similarity where values closer to 1 are more distinct, while values close to 0 represent similar compositions. Example outcome: 'The beta diversity (a measure of compositional change) of the prebiotic group using Bray-Curtis dissimilarity increased by 22.7%, suggesting a compositional change from the placebo group.' |
Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Activity monitoring using activewear devices
Time Frame: Continuous / 3 nights per 14 days (2 weeknights, 1 weekend night) depending on participants preference.
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Subsample analysis of biometric activity and sleep using FitBit Inspire 3.0. The Fitbit Inspire 2.0 can capture more objective measures of sleep including time spent in REM sleep phases, sleep duration, awakening and sleep latency. Example outcome: 'Sleep latency, defined as the time taken to fall asleep, was significantly reduced by 5.5 minutes (p < 0.05) after 6 weeks of prebiotic supplementation compared to the placebo group.' |
Continuous / 3 nights per 14 days (2 weeknights, 1 weekend night) depending on participants preference.
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Anthropometrics - Body composition
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Height (cm), Weight (Kg), Waist Circumference (cm) and Body Mass Index (BMI (kg/m2) Example outcome: 'Mean waist circumference (cm) did not differ significantly (p > 0.05) between the prebiotic and placebo groups after 6 weeks, suggesting that the prebiotic had no effect on body composition in terms of waist circumference.' |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Good Sleeper Scale -15 items (GSS -15) self-reported sleep.
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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GSS-15 - Manners, J et al (2023) questionnaire A 15 item questionnaire validated in a population of Australian adults to give a self-reported indices of sleep on a scale of confidence of being a good sleeper. 10.1111/jsr.13717 GSS-15 ≥ 45: High confidence of being a Good Sleeper GSS-15 40 - 44: Moderate confidence of being a Good Sleeper GSS-15 < 40: Low confidence of being a Good Sleeper Example outcome: 'There was no difference in the mean reported good sleeper score (43.25 43.25 (95% CI: -40.1, 46.2) of the prebiotic and placebo groups after 6 weeks of supplementation.' |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Depression Anxiety and Stress Scales 42-items (DASS-42) questionnaire. Wellbeing and subjective mental health assessment.
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Depression, Anxiety and Stress Scales Lovibond, P. F., & Lovibond, S. H. (1995) 10.1016/0005-7967(94)00075-u Scale Scores: DASS (42) Scores are calculated for each subset of the survey with the scale as follows where lower scores indicate a better outcome, while higher scores indicate worse results: Depression Anxiety Stress Normal 0-9 0-7 0-14 Mild 10-13 8-9 15-18 Moderate 14-20 10-14 19-25 Severe 21-27 15-19 26-33 Extremely Severe 28+ 20+ 34+ Example outcome: 'There was a significant reduction in the stress score observed in the prebiotic group (mean: -3.25 (p=0.004) after 6 weeks of supplementation when compared to the placebo group.' |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Short Food Frequency Questionnaire (SFFQ): Diet quality score
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Validated SFFQ for adults in the United Kingdom (UK) Cleghorn, CL. et al (2017) - University of Leeds Scores per subgroup (Fruit, Vegetables, Oily Fish, Fat and Non-Milk Extrinsic Sugars (NMEs)) are converted to scores ranging from 1-3 based on consumption. Lower scores indicating less intake, while scores of 3 indicate high intake of particular food groups (except for fats and NMEs which is reverse scaled - lower score matching closer to nutritional guideline). A final dietary quality score score is calculated from all subgroups with higher scores indicating better dietary quality. Example outcome: 'Dietary quality scores did not significantly differ among the prebiotic and placebo groups after 6 weeks. This indicates that participants' dietary habits remained consistent throughout the intervention, thereby minimizing dietary intake as a confounding factor in the comparison of the interventional groups.' |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Urine Metabolomics (Untargeted)
Time Frame: Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Untargeted Proton Nuclear Magnetic Resonance (1H NMR) metabolomic analysis of urine samples. NMR generates a spectrum of metabolites by detecting hydrogen atoms' response to an electromagnetic pulse. The resulting peaks correspond to specific chemical shift ranges (δ shifts), allowing for the identification of metabolite compositions. It is untargeted as identification is based on what is returned in spectral form, as opposed to targeted which preselects specific metabolites to measure. Example outcome: 'After 6 weeks of prebiotic supplementation, we observed significant increases in the urinary levels of dimethylglycine, indole-3-sulfate, and hippurate compared to the placebo group. These findings suggest that prebiotic supplementation may influence various metabolic pathways and gut microbiota activity.' |
Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Faeces Metabolomics (Untargeted)
Time Frame: Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Untargeted Proton Nuclear Magnetic Resonance (1H NMR) metabolomic analysis of faeces. NMR generates a spectrum of metabolites by detecting hydrogen atoms' response to an electromagnetic pulse. The resulting peaks correspond to specific chemical shift ranges (δ shifts), allowing for the identification of metabolite compositions. It is untargeted as identification is based on what is returned in spectral form, as opposed to targeted which preselects specific metabolites to measure. Example outcome: 'After 6 weeks of prebiotic supplementation, we observed significant increases in the faecal levels of alanine and glutamate compared to the placebo group. More targeted approaches would be needed to quantify and determine if these amino acids are from dietary, human or microbiome origins like Liquid Chromatography Mass Spectrometry LC-MS).' |
Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Plasma Metabolomics (Untargeted)
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Untargeted Proton Nuclear Magnetic Resonance (1H NMR) metabolomic analysis of plasma samples. NMR generates a spectrum of metabolites by detecting hydrogen atoms' response to an electromagnetic pulse. The resulting peaks correspond to specific chemical shift ranges (δ shifts), allowing for the identification of metabolite compositions. It is untargeted as identification is based on what is returned in spectral form, as opposed to targeted which preselects specific metabolites to measure. Example outcome: 'After 6 weeks, prebiotic supplementation significantly increased faecal levels of alanine and glutamate compared to placebo, while lysine levels remained unchanged. Further targeted analyses, such as LC-MS, are needed to determine the origins and concentrations of these amino acids'. |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Adverse effects monitoring
Time Frame: Continuous monitoring from start to end of study for all participants
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Monitoring or reporting of any adverse or severe adverse effects experienced during intervention. Reported and logged in active survey responses / contacting the study team directly Example outcome: 'There were two minor side effects reported early in the prebiotic supplementation, both instances self resolved within a few days and may be an effect of the initial introduction of a supplement to the individuals digestive system. No severe adverse effects were reported in either the prebiotic or the placebo control groups.' |
Continuous monitoring from start to end of study for all participants
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Urine Metabolomics (Targeted)
Time Frame: Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Targeted metabolomics using Gas Chromatography - Mass Spectrometry/ Liquid Chromatography - Mass Spectrometry (GC-MS/LC-MS) of urine samples following untargeted results. Biocrates Kits / neurobiological metabolites or their breakdown products i.e. 5-Hydroxyindoleacetic acid (serotonin), kynurenic acid (tryptophan). Metabolites are typically quantified in the in micrograms per millilitre concentration range (µg/mL). n= 315 samples in total across the three timepoints. Example outcome: 'Using GC-MS we saw a significant change in the concentration of kynurenic acid [amount specified (µg/mL)] between the prebiotic and placebo groups.' |
Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Plasma Metabolomics (Targeted)
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Targeted metabolomics using Gas Chromatography - Mass Spectrometry/ Liquid Chromatography - Mass Spectrometry (GC-MS/LC-MS) of plasma samples following untargeted results. D-L amino acid assay, neurobiological metabolites and short-chain fatty acids (typically produced from prebiotics - Acetate, Propionate and Butyrate). Metabolites are typically quantified in the in micrograms per millilitre concentration range (µg/mL). n= 315 samples in total across the three timepoints. Example outcome: 'Using GC-MS we saw a significant change in the concentration of Acetate [amount specified (µg/mL)] between the prebiotic and placebo groups.' |
3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley
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Faeces Metabolomics (Targeted)
Time Frame: Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Targeted metabolomics using Gas Chromatography - Mass Spectrometry/ Liquid Chromatography - Mass Spectrometry (GC-MS/LC-MS) of stool samples untargeted results. D-L amino acid assays - to determine microbial metabolites (D-glutamate, D-alanine, D-lysine) Metabolites are typically quantified in the nanomolar per gram concentration range (nmol/g). n= 315 samples in total across the three timepoints. Example outcome: 'Using GC-MS we saw a significant change in the concentration of D-lysine [amount specified (nmol/g)] between the prebiotic and placebo groups' |
Participant home collection, 3 collections:24 hours before 'baseline visit' week 0, 24 hours before 'endpoint visit' week 6, 24 hours before follow-up visit (week 10).
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jonathan R Swann, Professor, University of Southampton, Faculty of Medicine - Human Development and Health
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Behavior
- Personal Satisfaction
- Psychological Well-Being
- Dietary Supplements
- Food
- Diet, Food, and Nutrition
- Physiological Phenomena
- Food and Beverages
- Dietary Carbohydrates
- Carbohydrates
- Inorganic Chemicals
- Chlorine Compounds
- Polymers
- Macromolecular Substances
- Polysaccharides
- Starch
- Glucans
- Biopolymers
- Fructans
- Chlorides
- Hydrochloric Acid
- Dietary Fiber
- Polysaccharides, Bacterial
- Magnesium Compounds
- maltodextrin
- Inulin
- Prebiotics
- Magnesium Chloride
Other Study ID Numbers
- 340693
- 89554 (Other Identifier: University of Southampton Research Ethics Committee)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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