The Effects of a 12-week Combined Exercise Intervention on the Gut Microbiome of Older Adults

Sponsor
Nottingham Trent University (Other)
Overall Status
Recruiting
CT.gov ID
NCT06153719
Collaborator
University of Reading (Other)
80
1
2
7
11.4

Study Details

Study Description

Brief Summary

We have trillions of microorganisms living alongside us in our guts. Recent research has shown that this community, known as the gut microbiome, has a big influence on our health and wellbeing. Imbalances in the composition of the gut microbial community has been linked to several diseases including COVID, mental ill health, and diabetes. When the composition of the gut microbiome changes towards a less healthy one (called dysbiosis) this will, in turn, affect our health in a negative way. The composition of our gut microbiome remains fairly stable during adulthood, however, as we move into older age, there is a shift and its composition will change to a less healthy one; this is one of the reasons why older people can be more susceptible to diseases. Fortunately, there are several tools that we can use to improve our gut microbiome and one of them is exercise. Besides its well-known effects on our health, exercise has been shown to be able to improve the gut microbiome composition of younger people and those with certain metabolic diseases such as obesity. However, less is known about the effects of exercise on the gut microbiome of older adults. The aim of this study, therefore, is to assess the effects of a 12-week exercise intervention on the gut microbiome of physically inactive older adults. Hopefully, after this study, we will have more information on whether we can use exercise as a tool to improve the gut microbiome of older adults therefore improving their overall health and quality of life.

Condition or Disease Intervention/Treatment Phase
  • Other: 12-weeks combined exercise intervention
N/A

Detailed Description

The gastrointestinal (GI) tract, as well as the microbes that live and thrive there, were once thought to be just part of an organ whose only function was food digestion. However, during the last decade, increasing evidence demonstrates that the microbes that reside in the GI tract do a lot more than just digesting food. They have the ability to shape numerous host physiological systems, such as immune function, and to contribute to a healthy ageing process. Moreover, they may be involved in the pathophysiology of several diseases of both acute (e.g., acute respiratory infection, food poisoning) and chronic (e.g., inflammatory bowel disease, asthma, depression, metabolic disease) nature. Key to this influence on host health are the composition and functional activity of the gut microbial community. Both of these characteristics are affected by factors such as age, diet, stress, and medication. Thus, the gut microbiome is modifiable, with the potential to impact many aspects of health and wellbeing, both beneficially and detrimentally.

Gut microbiota diversity and composition changes throughout the lifespan. Initial colonization starts at birth and evolves throughout the life of the host (Larrosa, 2016) reaching its early stage maturation around 2-3 years old and then remaining relatively stable during adulthood. As the host starts ageing, the gut microbiota composition and activity changes (Kundu et al., 2017). An ageing gut microbiota is characterized by a reduced diversity, reduced resilience (Claesson et al., 2012), and large interindividual variability (Claesson et al., 2011, 2012; The Human Microbiome Project Consortium, 2012). Of specific interest to host health is the reduced abundance of Bifidobacteria (Biagi et al., 2010; Gueimonde et al., 2010; Hopkins, 2001; Salazar et al., 2013) and Lactobaccilli (Kim & Benayoun, 2020), and an increased abundance of pathobionts. These changes result in an imbalanced gut microbiota composition - called dysbiosis - and is associated with unhealthy ageing.

There are several factors that may contribute to dysbiosis in older age, such as changes in taste sensation (Doty et al., 1984), a decrease in saliva production (Salazar et al., 2017) and weakened chewing strength (Choi & Lee, 2016; Newton et al., 1993) that altogether may lead to consumption of a more monotonous diet (Rinninella et al., 2019). This, combined with reduced appetite and thus reduced nutrient and energy intake (phenomena called "anorexia of aging") (Landi et al., 2016), alterations in the gut physiology (reduced intestinal motility) (Lovat, 1996), the presence of antibiotic treatments (Bartosch et al., 2004; Iizumi et al., 2017; Pérez-Cobas et al., 2013), consumption of NSAIDs (Mäkivuokko et al., 2010), polypharmacy (Ticinesi et al., 2017), a weakened immune system (Nagpal et al., 2018) and living arrangements (Haran et al., 2018) will ultimately lead to an imbalanced microbiota, thus resulting in dysbiosis.

In a dysbiotic gut, a number of microbial mediated changes can impact on the health of the host. For example, pathogenic bacteria can disturb the intestinal barrier, and their sub-products, such as bacterial lipopolysaccharide (LPS) can enter the systemic circulation and cause chronic inflammation (Shimizu, 2018). This, combined with the persistent chronic low grade inflammation that occurs with age (known as 'inflammaging') and the immunosenescence that occurs during the ageing process, will increase the inflammatory state and can contribute to several diseases/conditions, such as obesity (Ley et al., 2006), diabetes type 1 (Wen et al., 2008), diabetes type 2 (Larsen et al., 2010), inflammatory bowel diseases (IBD) (Frank et al., 2007), frailty (Claesson et al., 2012), insulin resistance (Cani et al., 2007), cardiovascular diseases (CVDs) (Wang et al., 2011; W. Zhu et al., 2016), asthma (Arrieta et al., 2015), colorectal cancer (Sobhani et al., 2011), stress-related disorders (Burokas et al., 2017), dementia (Cattaneo et al., 2017), hypertension (Yan et al., 2017), Alzheimer's disease (Vogt et al., 2017), Parkinson's disease (Santos et al., 2019) and rheumatoid arthritis (Kishikawa et al., 2020). Furthermore, perturbations in this tightly regulated ecosystem will affect energy metabolism, nutrient absorption, appetite regulation, the immune system, and the synthesis of several key metabolites, such as short chain fatty acids (SCFAs) and vitamins. Therefore, interventions to change the gut microbiome to a 'younger', less dysbiotic profile are desirable in older adults as part of successful aging.

In the current project, which forms part of a Doctoral research programme, we are interested in whether exercise/physical activity (PA) can positively influence the composition and functional activity of the gut microbiome of older adults. Although a relatively new area of research, several studies have shown that PA and exercise are associated with an altered gut microbiome both in terms of microbial composition and functional activity in younger populations. Barton et al., (2017), for example, compared the gut microbiota composition of professional rugby athletes with sedentary controls and verified that their microbiotas were distinctly different. Athletes had higher microbial diversity, higher SCFA producing bacteria and an increased abundance of health-related pathways when compared to the sedentary controls. The same conclusion was reached by Bressa et al., (2017), who found that pre-menopausal women who were active had a different microbiota composition when compared to women who were sedentary. More specifically, healthy women had a higher abundance of health-promoting bacterial species, such as Faecalibacterium prausnitzi, Roseburia hominis and Akkermansia muciniphila. Moreover, they also found an inverse association between microbial diversity and sedentary behaviour and a correlation between body fat, age, muscle mass and physical activity with several bacterial populations. These previous studies demonstrate that physical activity is associated with a health-associated gut microbiota, however, none of them controlled for the influence of diet as a confounding factor. In fact, it is possible that people who are physically active tend to have a healthier diet when compared to inactive or sedentary people, and this can affect the results. Allen et al., (2018), however, demonstrated that 6 weeks of endurance exercise training was able to induce changes in the gut microbiota in lean but not in obese subjects independently of the diet, suggesting that exercise/PA can indeed induce changes in the gut microbiome composition per se. In the previous study, exercise was able to increase the concentration of SCFAs and the bacteria that produce them. However, the exercise-induced changes in the gut microbiota returned to baseline after a 6-week washout period, during when the participants' returned to their sedentary lifestyle. These findings suggest that the sustainment of exercise may be needed in order to maintain, or improve, the beneficial changes that occur in the gut microbiota.

Focusing now on studies performed in older adults, little is known about the effects of exercise/PA or sedentary behaviour on the gut microbiome with only 9 publications so far, consisting of 3 intervention studies, two performed in Asia (Taniguchi et al., 2018; F. Zhong et al., 2020) and one in the USA (Erlandson et al., 2021) and 6 observational studies, performed in Sweden (Fart et al., 2020), USA (Langsetmo et al., 2019; Q. Zhu et al., 2020), Israel (Magzal et al., 2022), Ireland (X. Zhong et al., 2021) and Slovakia (Šoltys et al., 2021). The intervention studies had a duration of 5 (Taniguchi et al., 2018), 8 (F. Zhong et al., 2020) and 24 weeks (Erlandson et al., 2021). Besides that, there was a non-randomized intervention study that had a duration of 12 weeks (Morita et al., 2019). A recently published systematic review of the effects of exercise and PA on the gut microbiome of older adults produced by our research group (Ramos et al., 2022) which aimed to summarise the results of humans studies performed in this topic, found that exercise/PA was able to increase the abundance of health related bacteria and decrease the abundance of harmful bacteria, and that older people who were more active tended to have a better gut microbiota composition containing more health-related bacteria than when compared with their inactive counterparts. However, due to methodological disparities between studies, it was hard to find a consensus on which taxa were most responsive to/associated with PA/exercise. Based on the information gathered on that systematic review, some recommendations were made regarding future studies in the field, such as the need to perform more observational studies in western populations (since the majority of publications are in Asian populations), the need to perform high quality exercise intervention studies by controlling some important confounding factors (such as diet and body composition) in older adults and by including different types of exercise. Another avenue would be to assess the effects of sedentary behaviour on the gut microbiome of older adults, since it has been previously shown that inactive people have a different gut microbiome composition when compared to their active counterparts.

Our research group is currently conducting an observational study which aims to compare the gut microbiome composition of physically active vs physically inactive community dwelling older adults. We want to investigate if exercise/PA has a beneficial effect on the gut microbiome of a sample of 100 UK older adults and assess if there is any association between body composition, cardiorespiratory fitness, and physical function with certain bacterial taxa.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
80 participants
Allocation:
Non-Randomized
Intervention Model:
Parallel Assignment
Masking:
None (Open Label)
Primary Purpose:
Basic Science
Official Title:
The Effects of a 12-week Combined Exercise Intervention on the Gut Microbiome of Older Adults
Anticipated Study Start Date :
Nov 1, 2023
Anticipated Primary Completion Date :
Jun 1, 2024
Anticipated Study Completion Date :
Jun 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Active Comparator: Exercise group

Other: 12-weeks combined exercise intervention
This 12-week combined exercise intervention will consist of 3 supervised exercise classes per week, each one lasting 50 minutes. It will involve both aerobic and resistance training in order to follow the UK's physical activity recommendations

Placebo Comparator: Control group

Other: 12-weeks combined exercise intervention
This 12-week combined exercise intervention will consist of 3 supervised exercise classes per week, each one lasting 50 minutes. It will involve both aerobic and resistance training in order to follow the UK's physical activity recommendations

Outcome Measures

Primary Outcome Measures

  1. Gut microbiome composition [At the begining and at the end of the intervention]

    Gut microbiome composition will be analysed using 16s rRNA sequencing

Eligibility Criteria

Criteria

Ages Eligible for Study:
65 Years to 85 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • Aged between 65-85 years old

  • Healthy, free-living individuals

  • Vaccinated against COVID-19

  • Physically inactive (<150 mins/week of PA)

  • No participation in any exercise intervention studies in the last 3 months

  • BMI Between 20-35 kg/m2

Exclusion Criteria:
  • The use of antibiotics 3 months before or during the study

  • Cancer

  • Intestinal inflammatory conditions (e.g., Crohns, ulcerative colitis)

  • Consumption of proton pump inhibitors (e.g., omeprazole, lansoprazole, etc…)

  • Auto-immune diseases

  • GI diseases (e.g., IBS, peptic ulcers)

  • Routine consumption of pre and/or probiotic foods or supplements

  • On blood thinners

Contacts and Locations

Locations

Site City State Country Postal Code
1 Nottingham Trent University - Clifton campus Nottingham United Kingdom

Sponsors and Collaborators

  • Nottingham Trent University
  • University of Reading

Investigators

  • Principal Investigator: Kirsty Hunter, Nottingham Trent University

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Catarina Ramos, Academic Associate, Nottingham Trent University
ClinicalTrials.gov Identifier:
NCT06153719
Other Study ID Numbers:
  • 1772160
First Posted:
Dec 1, 2023
Last Update Posted:
Dec 1, 2023
Last Verified:
Nov 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Catarina Ramos, Academic Associate, Nottingham Trent University

Study Results

No Results Posted as of Dec 1, 2023