PROMOTE: The Effect of a Six Week Prebiotic Supplementation on Wellbeing of Young Adults. (PROMOTE)

May 8, 2026 updated by: University of Southampton

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.

The study will investigate whether taking a prebiotic for six weeks helps to reduce morning cortisol levels in healthy young adults with mild to moderate stress compared to a placebo. Individuals should continue with their usual lifestyle during the study. Other factors of wellbeing will also be assessed.

Study Overview

Detailed Description

PROMOTE is a double blinded parallel randomised controlled-trial investigating if prebiotic supplementation reduce awakening salivary cortisol response, reported as area under the curve compared to a maltodextrin placebo in healthy young adults with a mild-to-moderate self reported stress score. There will be a focus on biological secondary outcomes to better understand how supplementation may influence the microbiome using metabolomics and sequencing techniques. In addition to other measures of wellbeing captured by questionnaires and activity monitors.

Study Type

Interventional

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Hampshire
      • Southampton, Hampshire, United Kingdom, SO16 6YD
        • NIHR Southampton Clinical Research Facility

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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
Experimental: Prebiotic
WellBiome® prebiotic complex Inulin 67%, Xylooligosaccharides (XOS) 27%, Magnesium Chloride (MgCl2) 9.8 %
WellBiome® prebiotic complex: Inulin 67%, XOS 27%, Magnesium Chloride (MgCl2) 9.8 %
Other Names:
  • Inulin
  • Magnesium Chloride
  • WellBiome®
  • WellBiome® - Mineral Enriched Prebiotic Fibre Complex
  • XOS
Placebo Comparator: Maltodextrin
Maltodextrin (Corn origin)
Placebo
Other Names:
  • Maltodextrin Placebo

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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)

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)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).

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).
Activity monitoring using activewear devices
Time Frame: Continuous / 3 nights per 14 days (2 weeknights, 1 weekend night) depending on participants preference.

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.
Anthropometrics - Body composition
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley

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
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

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
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

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
Short Food Frequency Questionnaire (SFFQ): Diet quality score
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley

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
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).

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).
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).

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).
Plasma Metabolomics (Untargeted)
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley

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
Adverse effects monitoring
Time Frame: Continuous monitoring from start to end of study for all participants

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

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).

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).
Plasma Metabolomics (Targeted)
Time Frame: 3 timepoints 'Baseline','Endpoint' and 'Follow-up' visits 0,6 and 10 weeks respectivley

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
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).

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).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Jonathan R Swann, Professor, University of Southampton, Faculty of Medicine - Human Development and Health

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 6, 2025

Primary Completion (Estimated)

September 16, 2025

Study Completion (Estimated)

September 16, 2026

Study Registration Dates

First Submitted

August 7, 2024

First Submitted That Met QC Criteria

August 20, 2024

First Posted (Actual)

August 22, 2024

Study Record Updates

Last Update Posted (Actual)

May 13, 2026

Last Update Submitted That Met QC Criteria

May 8, 2026

Last Verified

December 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will be anonymised and submitted to open access repositories upon the consent and permission of the participants. Biological data will not be available for secondary analysis but raw exports of biological data in anonymous form can be made available on conditional request provided ethics approval from a suitable institution is met.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

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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