The Impact of Exercise on Hippocampus-dependent Cognition and the Gut Microbiota (NeuroFit)

January 5, 2026 updated by: King's College London

Investigating the Impact of Exercise on Hippocampus-dependent Cognition and the Gut Microbiota in a Healthy, Middle-aged Population: The NeuroFit Study

The NeuroFit study will be investigating the impact of exercise on global cognition, hippocampus-dependent memory function and the gut microbiota in a middle-aged population.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Main research question: Does exercise have an impact on global cognition, hippocampus-dependent memory function and the gut microbiota in a middle-aged human population?

Middle-age is a critical time for cognitive/mood changes and precedes prodromal dementia, which is mediated by changes in neuroplasticity and altered gut microbiota. This period of the lifespan is also associated with weight gain, decline in metabolism and physical fitness. Yet, it is unclear if cognitive and mood changes can be ameliorated in response to exercise and the role of gut microbiota.

The hippocampus plays a role in cognition and mood and is vulnerable to gut-mediated and metabolic changes. It is capable of generating new neurons from neural stem cells throughout life. This is a modifiable process of neuroplasticity called adult hippocampal neurogenesis (AHN), which decreases with age in the human and rodent brain. Exercise is a robust enhancer of AHN and attenuates deficits in the aged brain. Rodent studies have shown that AHN underlies antidepressant effects and certain forms of memory. In particular, pattern separation, the ability to discriminate between similar experiences or environments. A reduced ability to pattern separate is evident in older individuals and is an early symptom in mild cognitive impairment, which can present during middle-age. Moreover, pattern separation has been shown to be impaired and AHN decreased in middle-aged relates compared to young rats. Pattern separation has also been implicated as critically sensitive to exercise. However, the potential for exercise to prevent/reverse a deficit in AHN and pattern separation in middle-age has not yet been investigated. A major gap in knowledge is the identification of the mechanisms underlying cognitive impairment in middle-age, and how modulating factors, such as exercise, could attenuate them.

The investigators propose that the composition of the gut microbiota and their metabolites in middle-age may predict reduced AHN and pattern separation, which may be rescued/improved by exercise, and is thus a key mechanistic target for investigation. In support, ageing is associated with a decline in gastrointestinal function and a change in microbiota composition. Middle-age is particularly vulnerable for gut microbiota compositional and metabolite changes coupled with neuroinflammation in mice, and that these effects are modified in response to prebiotic supplementation. An altered gut microbiota is associated with low mood/depressive behaviour through metabolic changes, and germ-free mice display an aberrant increase of neurogenesis. Moreover, preliminary data show that gut microbiota depletion (induced by long-term antibiotic administration) leads to a decrease in pattern separation and AHN, albeit in young adult rats.

Accumulating evidence suggests that exercise can change gut microbial composition and serum metabolites. Interestingly, human and rats present the same metabolic signature in plasma after exercise. Moreover, the effects of exercise on metabolic profiles are transmissible via faecal microbiota transplantation (FMT). Considering the gut microbiota (i) is sensitive to exercise and age, (ii) regulates AHN and, (iii) is involved in pattern separation and mood, the investigators propose that the gut microbiome-AHN communication is important in maintaining hippocampal integrity and cognitive function during middle-age.

Aim The overall aim of the NeuroFit study is to develop and test the impact of a group-based exercise intervention to identify specific gut microbiota and metabolic signatures that may influence cognitive and mood changes in middle-aged adults.

Hypothesis Reduced pattern separation in middle age can be rescued/improved by exercise accompanied by changes in the gut microbiota and related metabolites.

Objectives The NeuroFit study has 3 main objectives.

  1. Determine the impact of a 12-week exercise intervention (30 minutes, 3 days a week) compared to a control group (continued habitual behaviour) in healthy, middle-aged participants on cognition and mood.
  2. Identify specific gut microbiota and metabolic signatures in middle age which is responsive to exercise and predictive of cognitive and mood changes in a randomised controlled trial.
  3. Assess the impact of exercise on neuropsychiatric symptoms, serum BDNF, dietary intake, quality of life, habitual physical activity, cardio-respiratory fitness, anthropometry and cardiometabolic health on cognition and mood.

Study Type

Interventional

Enrollment (Actual)

52

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

    • London
      • London, London, United Kingdom, SE5 8AZ
        • Curie Kim

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

45 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  1. 45 - 65 years of age.
  2. BMI 20 - 30.
  3. Does less than 90 minutes of moderate to vigorous physical activity per week and does not have a regular exercise routine(captured by self-reported measures)

Exclusion Criteria:

  1. Subject is unable to understand the participant information sheet.
  2. Subject is unable to provide written informed consent.
  3. Subject is unable to understand and/or completely perform the cognitive testing.
  4. Impaired vision that is not corrected.
  5. Subject is a smoker.
  6. Does not agree to maintain their habitual dietary routine.
  7. Unwilling to provide blood and stool samples.
  8. Is not in general good health on the basis of medical history.
  9. Unable to engage in a structured exercise program as determined by the physical activity readiness questionnaire (PARQ).
  10. Unwilling to engage in the prescribed exercise program 3 times a week.
  11. Subject is pregnant, lactating or planning pregnancy.
  12. Recent history (previous 2 years) or currently diagnosed with a significant psychiatric disorder including major depressive disorder, anxiety, bipolar disorder, schizophrenia or any other Diagnostic Statistical Manual (DSM)-IV Axis I disorder.
  13. Subject has significant acute or chronic co-existing cardiovascular, respiratory, gastrointestinal illness or liver disease.
  14. Subject has had major GI surgery including bariatric surgery (excluding appendectomy and cholecystectomy).
  15. History of cancer in the last 5 years (excluding melanoma).
  16. Subject has significantly out of range blood test results from screening visit.
  17. History of or currently diagnosed with a functional GI disorder including inflammatory bowel disease (including Crohn's disease and ulcerative colitis), coeliac disease, lactose intolerance and clinical diagnosis of irritable bowel syndrome.
  18. Subject has irritable bowel syndrome, functional diarrhoea or functional constipation as determined by the Rome IV.
  19. Subject has any neurological disorder that could produce cognitive deterioration including Alzheimer's disease, Parkinson's disease, and stroke.
  20. Subject has a neurodevelopmental disorder that impacts ability to take part in cognitive testing and/or memory function.
  21. History of traumatic brain injury, stroke or any other medical conditions causing cognitive impairment.
  22. Subject has uncontrolled epilepsy or is prone to fainting.
  23. Subject has an eating disorder.
  24. History of or currently diagnosed with a metabolic disorder including type 1 and type 2 diabetes mellitus.
  25. Subject is unwilling to stop taking prebiotics or probiotics for at least 4 weeks prior to commencing the study.
  26. Known or suspected of alcohol abuse defined as > 14 drinks per week (1 drink = 1 pint of beer, 1 large glass of wine or 50 ml spirit).
  27. Subject has a sleep disorder or an occupation where sleep during the overnight hours is irregular.
  28. Subjects routinely taking psychoactive medications, laxatives, enemas, antibiotics, anticoagulants, NSAIDs, proton pump inhibitors and unwilling to stop at least 4 weeks prior to commencing the study.
  29. Subjects taking the following prescription medications: Statins, Metformin, Donepezil (Aricept), Galantamine (Reminyl), Rivastigmine (Exelon), Tacrine (Cognex), Memantine (Namenda), Selegiline (Eldepryl) or any other medication for cognitive impairment.
  30. Subject has a condition the chief investigator believes would interfere with their ability to provide informed consent, comply with the study protocol, may confound the interpretation of study results, or put the subject at undue risk.

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: Basic Science
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Exercise
12 weeks exercise intervention. 3 times a week, 45 minutes per session, 30 minutes of exercise.
12 weeks of moderate intensity exercise, three times a week.
No Intervention: Control
Continue with habitual routine. Take part in weekly online socials with others in the control group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mnemonic Similarity Task
Time Frame: Change from baseline pattern separation and recognition memory at 12 weeks
Pattern separation and recognition memory
Change from baseline pattern separation and recognition memory at 12 weeks
Mnemonic Similarity Task
Time Frame: Change from baseline pattern separation and recognition memory at 24 weeks
Pattern separation and recognition memory
Change from baseline pattern separation and recognition memory at 24 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient Health Questionnaire 9
Time Frame: Change from baseline mood at 12 weeks
Mood score Scoring scale: 0 - 27 Lower scores = better outcome.
Change from baseline mood at 12 weeks
Patient Health Questionnaire 9
Time Frame: Change from baseline mood at 24 weeks
Mood score Scoring scale: 0 - 27 Lower scores = better outcome.
Change from baseline mood at 24 weeks
Gut microbiome composition
Time Frame: Change from baseline composition at 12 weeks
Taken from participant stool samples. Measured using shotgun metagenomic sequencing.
Change from baseline composition at 12 weeks
Metabolomic profile - Serum
Time Frame: Change from baseline profile at 12 weeks
Metabolomic screen of participant serum samples at MS-Omics (Denmark)
Change from baseline profile at 12 weeks
Metabolomic profile - Gut microbiota
Time Frame: Change from baseline profile at 12 weeks
Metabolomic screen of participant stool samples at MS-Omics (Denmark)
Change from baseline profile at 12 weeks
Short Form 12
Time Frame: Change from baseline quality of life at 12 weeks
Quality of life scale Scoring scale: 0 - 100 Higher scores = better outcome.
Change from baseline quality of life at 12 weeks
Short Form 12
Time Frame: Change from baseline quality of life at 24 weeks
Quality of life scale Scoring scale: 0 - 100 Higher scores = better outcome.
Change from baseline quality of life at 24 weeks
Cardiorespiratory fitness
Time Frame: Change from baseline fitness at 12 weeks
3 minute step test
Change from baseline fitness at 12 weeks
Cardiorespiratory fitness
Time Frame: Change from baseline fitness at 24 weeks
3 minute step test
Change from baseline fitness at 24 weeks
Bone derived neurotrophic factor (BDNF)
Time Frame: Change from baseline BDNF levels at 12 weeks
Measured from participant serum sample using an enzyme-link immunoabsorbant assay
Change from baseline BDNF levels at 12 weeks
Bone derived neurotrophic factor (BDNF)
Time Frame: Change from baseline BDNF levels at 24 weeks
Measured from participant serum sample using an enzyme-link immunoabsorbant assay
Change from baseline BDNF levels at 24 weeks
Nutritional intake
Time Frame: Change from baseline nutritional intake at 12 weeks
4 day food diary
Change from baseline nutritional intake at 12 weeks
Nutritional intake
Time Frame: Change from baseline nutritional intake at 24 weeks
4 day food diary
Change from baseline nutritional intake at 24 weeks

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Sandrine Thuret, PhD, King's College London
  • Principal Investigator: Brendon Stubbs, PhD, King's College London

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 (Actual)

March 1, 2022

Primary Completion (Actual)

November 18, 2024

Study Completion (Actual)

November 18, 2024

Study Registration Dates

First Submitted

May 20, 2022

First Submitted That Met QC Criteria

May 25, 2022

First Posted (Actual)

May 31, 2022

Study Record Updates

Last Update Posted (Estimated)

January 7, 2026

Last Update Submitted That Met QC Criteria

January 5, 2026

Last Verified

October 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Anonymised study data

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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.

Clinical Trials on Cognitive Decline

Clinical Trials on Exercise

Subscribe