ClinicalTrials.gg
RecruitingNCT07073781ProCogUpdated Nov 9, 2026

Probiotics, Cognition and Metabolic Health in Young Adults With Overweight or Obesity

An interventional study of Lab4p Probiotic Consortium and Placebo in Impaired Glucose Tolerance (Prediabetes), Prediabetes (Insulin Resistance, Impaired Glucose Tolerance) and Overweight (BMI > 25), sponsored by Leeds Beckett University. Recruiting at 1 site in United Kingdom. Open to participants aged 18 Years to 40 Years. Per ClinicalTrials.gov, last updated 2026-11-09.

Sponsored by Leeds Beckett University · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Started Aug 2025; still recruiting 1 year 2 months later.
Updated Nov 9, 2026Study documents postedEligibility revised+1 moreGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
70
Allocation
Randomized
Ages
18 Years to 40 Years
Sex
All
01

Study summary

This 12-week, double-blind, placebo-controlled trial will examine whether daily supplementation with the Lab4P probiotic can improve cognitive performance and metabolic health in overweight and obese adults aged 18 to 40. Seventy participants will be randomly assigned to receive either Lab4P or a placebo. The study will assess changes in memory, executive function, and processing speed, along with blood glucose control, cardiovascular function, cholesterol levels, body composition, and markers of inflammation. The study will also analyse changes in the gut microbiome and evaluate the safety and tolerability of the probiotic.

Read the detailed description

Global rates of overweight and obesity are rising, contributing to increased metabolic dysregulation, including disturbances in glucose metabolism. Disruptions in glucose regulation are both characteristic of and contributory to the pathogenesis of metabolic disorders, including type 2 diabetes (T2D). Clinical perturbations in glucose homeostasis are strongly associated with cognitive impairments and an increased risk of neurodegenerative diseases. Increasing evidence suggests that even mild metabolic dysregulation may contribute to cognitive decline.

Emerging evidence shows that cognitive impairments, including memory, executive function, and visuomotor deficits, can be observed in young adults with metabolic dysregulation, alongside early markers of structural and functional brain changes. Neuroimaging studies have revealed reduced white matter integrity and decreased cerebral glucose metabolism in prediabetic individuals aged 22-35, particularly in brain regions associated with attention, self-regulation, and working memory.

These neurocognitive effects appear to be driven by early neurovascular unit (NVU) dysfunction, involving elevated blood glucose, insulin resistance (IR), endothelial damage, and inflammation. Exaggerated glucose excursions promote oxidative stress and impair endothelial function at the blood-brain barrier, disrupting cerebral blood flow (CBF), glucose transport, and metabolic homeostasis. Functional uncoupling between CBF and regional cerebral glucose metabolism has been directly observed in young adults with IR.

Together, these findings suggest that NVU dysfunction may underlie early cognitive decline in young adults with metabolic dysregulation, and that this population represents a critical target for early, non-pharmacological intervention. Probiotic formulations, including the probiotic consortium Lab4P, have shown promise in improving metabolic markers and reducing inflammation, with preclinical data suggesting potential cognitive and neuroprotective benefits. However, its procognitive effects in humans remain unexplored.

This trial will evaluate whether Lab4P supplementation can enhance cognitive performance and cardiometabolic regulation in young adults with overweight or obesity. By targeting a modifiable risk state early in life, the study aims to determine whether probiotic supplementation can serve as a viable strategy to mitigate long-term neurocognitive and metabolic decline.

02

Conditions studied

  • Impaired Glucose Tolerance (Prediabetes)
  • Prediabetes (Insulin Resistance, Impaired Glucose Tolerance)
  • Overweight (BMI > 25)
  • Cognitive Dysfunction
  • Neurovascular Coupling Mechanism and Cognitive Function
  • Obese Adults

Keywords

  • Probiotic supplementation
  • Psychobiotic
  • Cognitive performance
  • Metabolic function
  • Impaired glucose tolerance
  • Gut-brain axis
03

In context

Glucose Intolerance

793 studies on the registry are indexed under Glucose Intolerance; 115 are open to participants now.

This study's planned enrollment of 70 is above the median of 56 across 661 interventional studies indexed under Glucose Intolerance.

Browse Glucose Intolerance studies →

Lead sponsor

Leeds Beckett University is the lead sponsor of 10 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

The criteria were revised on the registry on Nov 9, 2026. See what changed

Ages eligible
18 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

INCLUSION CRITERIA Written provided before any study-related procedures. Aged 18-40 years, inclusive, at the time of consent. ≥25.0 kg/m². Self-reported good general health, with no chronic medical conditions requiring ongoing treatment.

Self-reported normal sleep patterns, with no history of diagnosed sleep disorders.

Willing and able to comply with study procedures, including fasting and oral glucose tolerance testing (OGTT).

Non-smoker at screening, with no regular tobacco use in the preceding six months.

English proficiency equivalent to that of a native speaker.

EXCLUSION CRITERIA Current or past diagnosis of diabetes mellitus of any type. Fasting plasma glucose ≤3.9 or ≥7.0 mmol/L at screening. Diagnosed sleep disorder. History of bariatric surgery or other gastrointestinal procedures that may affect glucose absorption or metabolism.

Major surgery, significant trauma, systemic infection, or myocardial infarction within six weeks before screening.

History of kidney disease, liver disease, low or high blood pressure, or heart disease.

History of conditions that may affect food metabolism, including food allergies or gastrointestinal diseases such as irritable bowel syndrome or peptic ulcers.

Current or recent use, within four weeks, of medications affecting glucose metabolism or agents that may alter gut microbiota composition or probiotic efficacy, as defined in Section 8.6.

History of psychiatric illness, including anxiety or depression. Current use of prescription or over-the-counter medications, excluding hormonal .

Night shift work within 30 days before screening or planned during the study. Pregnancy, breastfeeding, or plans to become pregnant during the study. Known allergy or to any component of the product or placebo.

Terms in these criteria, in plain language(5)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

Hypersensitivity

An allergy, or another reaction of the immune system, to a substance. “Hypersensitivity to the study drug” means a known allergic reaction to it — not every side effect a medicine can have.

Investigational drug or device

A drug or device being studied in a clinical trial.

It may be new, or already approved and being studied for another use, dose or form. Criteria often leave out people who took part in another study of one within a recent period, commonly 30 days or five half-lives.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Quadruple (Participant, Care provider, Investigator, Outcomes assessor)
Enrollment
70 participants (estimated)

Study arms

  • Experimental
    Group receiving the Lab4P probiotic capsules

    Experimental group will consume oral dose of 50 billion Colony forming Units (CFU) once daily till delivery.

    Dietary Supplement: Lab4p Probiotic Consortium

  • Placebo comparator
    Group receiving the identical, non-active placebo

    Microcrystalline cellulose/d each, up till delivery

    Other: Placebo

Interventions

  • Dietary supplementLab4p Probiotic Consortium

    The investigational product in this study is Lab4P, a patented multi-strain probiotic consortium formulated as a food supplement and supplied in capsule form. Each daily dose contains a total of 5 × 10¹⁰ CFU of live bacteria, comprising five strains: Lactobacillus acidophilus CUL60 and CUL21, Lactobacillus plantarum CUL66, Bifidobacterium bifidum CUL20, and Bifidobacterium animalis subsp. lactis CUL34. In addition to probiotics, each capsule also contains three micronutrients at 100-200% of the recommended daily intake: Vitamin D (10 µg; 200%), Vitamin C (80 mg; 100%), and Zinc (10 mg; 100%). Lab4P is a marketed, human-approved product manufactured by Cultech Ltd. (Port Talbot, UK) and is classified as a food supplement, available for purchase without prescription. Both the active product and placebo will be identically packaged to maintain blinding.

  • OtherPlacebo

    Placebo capsules are composed of microcrystalline cellulose, and are identical in appearance to the test product.

06

What researchers measure

Primary outcomes

  1. Verbal Memory Performance

    Assessed using the Cambridge Neuropsychological Test Automated Battery (CANTAB) Verbal Recognition Memory task (VRM) a computerized word list recall task, which measures accuracy in recalling previously presented verbal stimuli to evaluate verbal memory function.

    Time frame: Baseline to Week 12 (end of treatment).

Secondary outcomes

  1. Visual Episodic Memory

    Measured using the Paired Associates Learning (PAL) task (CANTAB), which assesses the ability to remember the locations of visual patterns and form new associations.

    Time frame: Baseline to Week 12 (end of treatment).

  2. Number of Participants Reporting One or More Adverse Events (AEs) or Serious Adverse Events (SAEs)

    All adverse events (AEs) and serious adverse events (SAEs) will be monitored through participant self-reports and case report forms. Events will be categorized by severity and relatedness to the study product.

    Time frame: Baseline to Week 12 (end of treatment).

  3. Visuospatial Working Memory

    Measured using the Spatial Working Memory (SWM) task (CANTAB), which assesses the ability to temporarily retain and manipulate spatial information and use effective search strategies during problem-solving.

    Time frame: Baseline to Week 12 (end of treatment).

  4. Executive function (Response Inhibition and Impulse Control)

    Measured using the Stop Signal Task (SST) (CANTAB), which assesses the ability to inhibit a dominant or preplanned motor response when signaled.

    Time frame: Baseline to Week 12 (end of treatment).

  5. Executive function (Cognitive Flexibility and Attentional Set-Shifting)

    Measured using the Intra-Extra Dimensional Set Shift (IED) task (CANTAB), which assesses the ability to shift attention between different stimulus dimensions and adapt to changing rules. This evaluates cognitive flexibility and executive function.

    Time frame: Baseline to Week 12 (end of treatment).

  6. Processing speed, Psychomotor Response, and Attention

    Measured using the Five Choice Reaction Time (RTI) task (CANTAB), which assesses how quickly and accurately participants respond to visual stimuli.

    Time frame: Baseline to Week 12 (end of treatment).

  7. Cerebrovascular Reactivity (CVR)

    CVR reflects the ability of cerebral blood vessels to dilate or constrict in response to changes in carbon dioxide, indicating the health of the brain's vascular system. Measured via transcranial Doppler ultrasound of the middle cerebral artery in response to hypercapnia/hypocapnia challenge.

    Time frame: Baseline to Week 12 (end of treatment).

  8. Flow-Mediated Dilation (FMD)

    Measured using ultrasound imaging of the brachial artery before and after a period of blood flow restriction using a pressure cuff. The artery's ability to dilate in response to the return of blood flow (reactive hyperemia) reflects endothelial function, an early indicator of vascular health and cardiovascular risk.

    Time frame: Baseline to Week 12 (end of treatment).

  9. Global Sleep Quality

    Measured using the Pittsburgh Sleep Quality Index (PSQI) global score, a validated 19-item self-report instrument assessing subjective sleep quality over the past month.

    Time frame: Baseline to Week 12 (end of treatment).

  10. Sleep Latency

    Assessed as a PSQI subcomponent, defined as the self-reported time (in minutes) taken to fall asleep on most nights.

    Time frame: Baseline to Week 12 (end of treatment).

  11. Sleep Duration

    Assessed as a PSQI subcomponent, reflecting the average number of hours of sleep per night.

    Time frame: Baseline to Week 12 (end of treatment).

  12. Sleep Efficiency

    Calculated as a PSQI subcomponent, defined as the ratio of total sleep time to time spent in bed, expressed as a percentage.

    Time frame: Baseline to Week 12 (end of treatment).

  13. Sleep Disturbances

    Derived from PSQI items capturing the frequency of nocturnal awakenings and other sleep interruptions.

    Time frame: Baseline to Week 12 (end of treatment).

  14. Sleep Medication Use

    Based on PSQI responses indicating frequency of pharmacological sleep aid use over the past month.

    Time frame: Baseline to Week 12 (end of treatment).

  15. Daytime dysfunction

    Evaluated using PSQI items assessing difficulties staying awake during the day and maintaining enthusiasm for activities.

    Time frame: Baseline to Week 12 (end of treatment).

  16. Glycated Haemoglobin (HbA1C)

    HbA1c reflects average blood glucose levels over the previous 2 to 3 months and is used to assess long-term blood sugar control. Measured from capillary blood using the Afinion 2 Analyzer (Abbott).

    Time frame: Baseline to Week 12 (end of treatment).

  17. Fasting Blood Glucose

    This measure reflects short-term blood sugar levels and is used to assess baseline glucose regulation. Measured from capillary blood using an over-the-counter, CE-marked glucometer.

    Time frame: Baseline to Week 12 (end of treatment).

  18. Glucose Tolerance (AUC)

    Assessed via a 2-hour oral glucose tolerance test (OGTT), with capillary blood glucose measured at 0, 30, 60, and 120 minutes post-glucose ingestion. These values will be used to calculate the area under the curve (AUC), which reflects how effectively the body regulates blood glucose over time.

    Time frame: Baseline to Week 12 (end of treatment).

  19. Systolic blood pressure

    Measured using an automated oscillometric device (Omron). This measure reflects the pressure in the arteries when the heart contracts and is a key indicator of cardiovascular health.

    Time frame: Baseline to Week 12 (end of treatment).

  20. Diastolic blood pressure

    Measured using an automated oscillometric device (Omron). This measure reflects the pressure in the arteries when the heart is at rest between beats and is an important marker of vascular function and cardiovascular risk.

    Time frame: Baseline to Week 12 (end of treatment).

  21. Total Cholesterol

    Measured from a fasting capillary blood sample using the Cholestech LDX Analyzer (Abbott). This test provides total blood cholesterol levels, which are used to assess cardiovascular risk.

    Time frame: Baseline to Week 12 (end of treatment).

  22. Low-Density Lipoprotein Cholesterol (LDL-C)

    Measured from a fasting capillary blood sample using the Cholestech LDX Analyzer (Abbott). LDL-C contributes to plaque buildup in the arteries and is a key cardiovascular risk marker.

    Time frame: Baseline to Week 12 (end of treatment).

  23. High-Density Lipoprotein Cholesterol (HDL-C)

    Measured from a fasting capillary blood sample using the Cholestech LDX Analyzer (Abbott). HDL-C helps remove excess cholesterol from the bloodstream and is protective against heart disease.

    Time frame: Baseline to Week 12 (end of treatment).

  24. Triglycerides

    Measured from a fasting capillary blood sample using the Cholestech LDX Analyzer (Abbott). Triglycerides are a type of fat found in the blood and are used to assess metabolic health and cardiovascular risk.

    Time frame: Baseline to Week 12 (end of treatment).

  25. Body Mass Index (BMI)

    Calculated as weight in kilograms divided by height in meters squared (kg/m²). Weight is measured using a calibrated digital scale and height with a stadiometer. BMI is a gold standard measure used to classify underweight, normal weight, overweight, and obesity.

    Time frame: Baseline to Week 12 (end of treatment).

  26. Waist-to-Hip Ratio

    Calculated by dividing waist circumference by hip circumference. This ratio reflects fat distribution and is a marker of cardiometabolic risk.

    Time frame: Baseline to Week 12 (end of treatment).

  27. Total Lean Mass

    Measured in kilograms using dual-energy X-ray absorptiometry (DXA). This measure reflects the total weight of muscle and other non-fat, non-bone tissues in the body.

    Time frame: Baseline to Week 12 (end of treatment).

  28. Total Fat Mass

    Measured in kilograms using dual-energy X-ray absorptiometry (DXA). This reflects the total amount of fat tissue in the body.

    Time frame: Baseline to Week 12 (end of treatment).

  29. Percent Body Fat

    Calculated from DXA-derived fat mass as a percentage of total body mass. This measure is used to evaluate body composition and excess adiposity-related risk.

    Time frame: Baseline to Week 12 (end of treatment).

  30. Interleukin-6 (IL-6)

    Quantified from venous plasma samples using enzyme-linked immunosorbent assay (ELISA) kits. IL-6 is a pro-inflammatory cytokine associated with immune response and chronic inflammation.

    Time frame: Baseline to Week 12 (end of treatment).

  31. Tumor Necrosis Factor-Alpha (TNF-α)

    Measured from venous plasma samples using ELISA kits. TNF-α is a cytokine involved in systemic inflammation and plays a role in metabolic and vascular dysfunction.

    Time frame: Baseline to Week 12 (end of treatment).

  32. Gut Microbiota Diversity

    Assessed by 16S rRNA gene sequencing of DNA extracted from stool samples. Diversity will be measured using alpha diversity indices (e.g., Shannon Index), reflecting the richness and evenness of microbial communities.

    Time frame: Baseline to Week 12 (end of treatment).

  33. Gut Microbiota Community Dispersion

    Assessed using beta diversity metrics such as Bray-Curtis dissimilarity and principal coordinates analysis (PCoA). This reflects variability in microbial composition between participants and time points.

    Time frame: Baseline to Week 12 (end of treatment).

  34. Relative Abundance of Microbial Taxa

    Determined from 16S rRNA gene sequencing data by calculating the proportion of individual bacterial taxa present in stool samples. This measure assesses how specific microbial populations change over time.

    Time frame: Baseline to Week 12 (end of treatment).

  35. Adherence Rate

    Assessed by capsule counts at the Week 12 visit and participant self-reports. The number of capsules taken will be calculated as a percentage of the total expected capsules over the 12-week intervention period.

    Time frame: Baseline to Week 12 (end of treatment).

  36. Physical Discomfort Symptoms

    Assessed using a structured, self-administered questionnaire. Participants will indicate whether they experienced specific physical symptoms during the past 14 days, and on how many days each symptom occurred. Symptom categories include gastrointestinal (e.g., constipation, diarrhoea, bloating), systemic (e.g., sore throat, headache, muscle ache, cold symptoms), and medication or menstrual-related events (e.g., use of antibiotics, vaginal treatments, menstruation).

    Time frame: Baseline to Week 12 (end of treatment).

  37. Circulating Markers of Platelet Activity

    Circulating markers of platelet activity will be quantified from venous blood samples using validated biochemical assays. These markers reflect platelet activation status and provide an index of platelet function in response to the intervention.

    Time frame: Baseline, Week 6, and Week 12.

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Zilliox LA, Chadrasekaran K, Kwan JY, Russell JW. Diabetes and Cognitive Impairment. Curr Diab Rep. 2016 Sep;16(9):87. doi: 10.1007/s11892-016-0775-x. PubMed 27491830 ↗
  • Webberley TS, Bevan RJ, Kerry-Smith J, Dally J, Michael DR, Thomas S, Rees M, Morgan JE, Marchesi JR, Good MA, Plummer SF, Wang D, Hughes TR. Assessment of Lab4P Probiotic Effects on Cognition in 3xTg-AD Alzheimer's Disease Model Mice and the SH-SY5Y Neuronal Cell Line. Int J Mol Sci. 2023 Feb 28;24(5):4683. doi: 10.3390/ijms24054683. PubMed 36902113 ↗
  • Sadler JR, Shearrer GE, Burger KS. Alterations in ventral attention network connectivity in individuals with prediabetes. Nutr Neurosci. 2021 Feb;24(2):140-147. doi: 10.1080/1028415X.2019.1609646. Epub 2019 Apr 28. PubMed 31030631 ↗
  • Ribeiro M, Yordanova YN, Noblet V, Herbet G, Ricard D. White matter tracts and executive functions: a review of causal and correlation evidence. Brain. 2024 Feb 1;147(2):352-371. doi: 10.1093/brain/awad308. PubMed 37703295 ↗
  • Repple J, Karliczek G, Meinert S, Forster K, Grotegerd D, Goltermann J, Redlich R, Arolt V, Baune BT, Dannlowski U, Opel N. Variation of HbA1c affects cognition and white matter microstructure in healthy, young adults. Mol Psychiatry. 2021 Apr;26(4):1399-1408. doi: 10.1038/s41380-019-0504-3. Epub 2019 Aug 29. PubMed 31467393 ↗
  • Nazaribadie M, Amini M, Ahmadpanah M, Asgari K, Jamlipaghale S, Nazaribadie S. Executive functions and information processing in patients with type 2 diabetes in comparison to pre-diabetic patients. J Diabetes Metab Disord. 2014 Feb 4;13(1):27. doi: 10.1186/2251-6581-13-27. PubMed 24495302 ↗
  • Michael DR, Davies TS, Jack AA, Masetti G, Marchesi JR, Wang D, Mullish BH, Plummer SF. Daily supplementation with the Lab4P probiotic consortium induces significant weight loss in overweight adults. Sci Rep. 2021 Jan 6;11(1):5. doi: 10.1038/s41598-020-78285-3. PubMed 33408364 ↗
  • Lamport DJ, Lawton CL, Mansfield MW, Dye L. Impairments in glucose tolerance can have a negative impact on cognitive function: a systematic research review. Neurosci Biobehav Rev. 2009 Mar;33(3):394-413. doi: 10.1016/j.neubiorev.2008.10.008. Epub 2008 Nov 5. PubMed 19026680 ↗
  • Kullmann S, Heni M, Hallschmid M, Fritsche A, Preissl H, Haring HU. Brain Insulin Resistance at the Crossroads of Metabolic and Cognitive Disorders in Humans. Physiol Rev. 2016 Oct;96(4):1169-209. doi: 10.1152/physrev.00032.2015. Epub 2016 Aug 3. PubMed 27489306 ↗
  • Kirvalidze M, Hodkinson A, Storman D, Fairchild TJ, Bala MM, Beridze G, Zuriaga A, Brudasca NI, Brini S. The role of glucose in cognition, risk of dementia, and related biomarkers in individuals without type 2 diabetes mellitus or the metabolic syndrome: A systematic review of observational studies. Neurosci Biobehav Rev. 2022 Apr;135:104551. doi: 10.1016/j.neubiorev.2022.104551. Epub 2022 Jan 29. PubMed 35104494 ↗
  • Feng L, Gao L. The role of neurovascular coupling dysfunction in cognitive decline of diabetes patients. Front Neurosci. 2024 Mar 21;18:1375908. doi: 10.3389/fnins.2024.1375908. eCollection 2024. PubMed 38576869 ↗
  • Di Pino A, Urbano F, Scicali R, Di Mauro S, Filippello A, Scamporrino A, Piro S, Purrello F, Rabuazzo AM. 1 h Postload Glycemia Is Associated with Low Endogenous Secretory Receptor for Advanced Glycation End Product Levels and Early Markers of Cardiovascular Disease. Cells. 2019 Aug 16;8(8):910. doi: 10.3390/cells8080910. PubMed 31426413 ↗
  • Deery HA, Liang E, Di Paolo R, Voigt K, Murray G, Siddiqui MN, Egan GF, Moran C, Jamadar SD. The association of regional cerebral blood flow and glucose metabolism in normative ageing and insulin resistance. Sci Rep. 2024 Jun 25;14(1):14574. doi: 10.1038/s41598-024-65396-4. PubMed 38914735 ↗
  • Deery HA, Liang E, Di Paolo R, Voigt K, Murray G, Siddiqui MN, Egan GF, Moran C, Jamadar SD. Peripheral insulin resistance attenuates cerebral glucose metabolism and impairs working memory in healthy adults. NPJ Metab Health Dis. 2024 Aug 2;2(1):17. doi: 10.1038/s44324-024-00019-0. PubMed 40604159 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — De-identified IPD collected during the trial will be shared. This includes outcome-level data related to cognitive performance, sleep quality, glucose regulation, lipid profiles, vascular function, inflammatory biomarkers, body composition, and gut microbiota composition.

Supporting information: Study protocol, Informed consent form

Time frame: IPD and supporting information will be available after publication of the primary trial results. Data will remain accessible for a minimum of 5 years following the end of the study or until the end of the institutional data retention period, whichever is longer.

Access criteria: Access to IPD and supporting information will be granted to qualified researchers who provide a sound scientific rationale and appropriate ethical approvals. Requests will be evaluated by the study team and data custodians at Leeds Beckett University. Sensitive data will only be shared under a data-sharing agreement and subject to participant consent and ethics approval. Access will be coordinated via the Leeds Beckett University Thesis and Research Data Repository.

Data sharing details ↗ · libguides.leedsbeckett.ac.uk

09

Updates

1 registry update since Sep 25, 2026
Eligibility
4 inclusion criteria removed; 7 exclusion criteria removed; 3 criteria edited, 9 added
What changed in the criteria
  • AddedINCLUSION CRITERIA Written informed consent provided before any study-related procedures. Aged 18-40 years, inclusive, at the time of consent. BMI ≥25.0 kg/m². Self-reported good general health, with no chronic medical conditions requiring ongoing treatment.
  • EditedNormal selfSelf-reported normal sleep patterns, with no history of diagnosed sleep disorders.
  • EditedAbleWilling and able to comply with study procedures, including fasting and oral glucose tolerance testing (OGTT).
  • AddedNon-smoker at screening, with no regular tobacco use in the preceding six months.
  • AddedEnglish proficiency equivalent to that of a native speaker.
  • AddedEXCLUSION CRITERIA Current or past diagnosis of diabetes mellitus of any type. Fasting plasma glucose ≤3.9 or ≥7.0 mmol/L at screening. Diagnosed sleep disorder. History of bariatric surgery or other gastrointestinal procedures that may affect glucose absorption or metabolism.
  • EditedMajor surgery, significant illnesstrauma, trauma,systemic infection, or myocardial infarction within the past 6six weeks before screening.
  • AddedHistory of kidney disease, liver disease, low or high blood pressure, or heart disease.
  • AddedHistory of conditions that may affect food metabolism, including food allergies or gastrointestinal diseases such as irritable bowel syndrome or peptic ulcers.
  • AddedCurrent or recent use, within four weeks, of medications affecting glucose metabolism or agents that may alter gut microbiota composition or probiotic efficacy, as defined in Section 8.6.
  • AddedHistory of psychiatric illness, including anxiety or depression. Current use of prescription or over-the-counter medications, excluding hormonal contraception.
  • AddedNight shift work within 30 days before screening or planned during the study. Pregnancy, breastfeeding, or plans to become pregnant during the study. Known allergy or hypersensitivity to any component of the investigational product or placebo.
Inclusion criteria
  • RemovedAged 18-40 years
  • RemovedBody Mass Index (BMI) between 25.0 and 29.9 kg/m² (classified as overweight)
  • RemovedIn good general health (self-reported)
  • RemovedWilling and able to provide informed consent
Exclusion criteria
  • RemovedDiagnosed diabetes (any type).
  • RemovedDiagnosed sleep disorders.
  • RemovedFasting glucose >6.9 mmol/L during screening.
  • RemovedHistory of bariatric surgery (e.g., gastric bypass, sleeve gastrectomy).
  • RemovedCurrent use of medications affecting glucose metabolism or probiotics
  • RemovedPregnancy or actively trying to conceive
  • RemovedNight shift work within the past month
Nov 9, 2026
Title
Probiotic Impact on Cognitive Performance, and Metabolic Outcomes in Overweight Young Adults With Impaired Glucose Regulation→Probiotics, Cognition and Metabolic Health in Young Adults With Overweight or Obesity
Nov 9, 2026
Show all 1 update
  1. Nov 9, 2026
    Eligibility 4 inclusion criteria removed; 7 exclusion criteria removed; 3 criteria edited, 9 added
    What changed in the criteria
    • AddedINCLUSION CRITERIA Written informed consent provided before any study-related procedures. Aged 18-40 years, inclusive, at the time of consent. BMI ≥25.0 kg/m². Self-reported good general health, with no chronic medical conditions requiring ongoing treatment.
    • EditedNormal selfSelf-reported normal sleep patterns, with no history of diagnosed sleep disorders.
    • EditedAbleWilling and able to comply with study procedures, including fasting and oral glucose tolerance testing (OGTT).
    • AddedNon-smoker at screening, with no regular tobacco use in the preceding six months.
    • AddedEnglish proficiency equivalent to that of a native speaker.
    • AddedEXCLUSION CRITERIA Current or past diagnosis of diabetes mellitus of any type. Fasting plasma glucose ≤3.9 or ≥7.0 mmol/L at screening. Diagnosed sleep disorder. History of bariatric surgery or other gastrointestinal procedures that may affect glucose absorption or metabolism.
    • EditedMajor surgery, significant illnesstrauma, trauma,systemic infection, or myocardial infarction within the past 6six weeks before screening.
    • AddedHistory of kidney disease, liver disease, low or high blood pressure, or heart disease.
    • AddedHistory of conditions that may affect food metabolism, including food allergies or gastrointestinal diseases such as irritable bowel syndrome or peptic ulcers.
    • AddedCurrent or recent use, within four weeks, of medications affecting glucose metabolism or agents that may alter gut microbiota composition or probiotic efficacy, as defined in Section 8.6.
    • AddedHistory of psychiatric illness, including anxiety or depression. Current use of prescription or over-the-counter medications, excluding hormonal contraception.
    • AddedNight shift work within 30 days before screening or planned during the study. Pregnancy, breastfeeding, or plans to become pregnant during the study. Known allergy or hypersensitivity to any component of the investigational product or placebo.
    Inclusion criteria
    • RemovedAged 18-40 years
    • RemovedBody Mass Index (BMI) between 25.0 and 29.9 kg/m² (classified as overweight)
    • RemovedIn good general health (self-reported)
    • RemovedWilling and able to provide informed consent
    Exclusion criteria
    • RemovedDiagnosed diabetes (any type).
    • RemovedDiagnosed sleep disorders.
    • RemovedFasting glucose >6.9 mmol/L during screening.
    • RemovedHistory of bariatric surgery (e.g., gastric bypass, sleeve gastrectomy).
    • RemovedCurrent use of medications affecting glucose metabolism or probiotics
    • RemovedPregnancy or actively trying to conceive
    • RemovedNight shift work within the past month
    Title Probiotic Impact on Cognitive Performance, and Metabolic Outcomes in Overweight Young Adults With Impaired Glucose Regulation→Probiotics, Cognition and Metabolic Health in Young Adults With Overweight or Obesity
    + 3 other changes: verification date, description and conditions

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07073781
Lead sponsor
Leeds Beckett University
Collaborators
Cultech Ltd
Responsible party
Lewis Hepburn (Principal Investigator, Leeds Beckett University) — Principal investigator
First posted
Jul 18, 2025
Start date
Aug 15, 2025
Primary completion
Jun 30, 2027 (estimated)
Completion
Aug 20, 2027 (estimated)
Last update
Nov 9, 2026

Study contacts

Lewis F Hepburn
Contact
l.hepburn3449@student.leedsbeckett.ac.uk
+447541333140
Lewis F Hepburn, Msc
principal investigator · Leeds Beckett University
Lauren Owen, PhD
study chair · Leeds Beckett University
Steve Trangmar, PhD
study chair · Leeds Beckett University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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