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This study aims to investigate the relationship between diet and the microbiota-gut-brain axis.
Dietary fibre is well-known for its many health benefits, including the support of gastrointestinal, metabolic, and mental health. Although studies investigating whole dietary patterns in relation to cognition have demonstrated that diet quality and a healthy dietary pattern are associated with better cognitive performance, the role of dietary fibre in this regard is understudied. It is now understood that the gut microbiota (trillions of microbes inhabiting the gastrointestinal tract) communicates bidirectionally with the brain to influence mental health and cognition. Importantly, dietary fibre has been shown to positively affect the microbiota composition. The aim of this study is to understand the effects of dietary fibre on the microbiota-gut-brain axis.
Using a cross-sectional design, habitual low fibre (<=18 grams/day, n=200), moderate fibre (18.1-24.9 grams/day, n=75), and high fibre (=>25 g/day, n=75) consumers will be compared at baseline on measures of cognition, responses to acute and chronic stress, and biological markers of the microbiota-gut-brain axis.
The investigators hypothesize that participants with higher dietary fibre intake at baseline will perform better in the cognitive tasks compared to individuals with low fibre intake, and that this difference can, in part, be mediated by the gut microbiota.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Low fibre consumers | Healthy adults consuming less than or equal to 18 grams of fibre per day. |
| |
| Moderate fibre consumers | Healthy adults consuming between 18.1-24.9 grams of fibre per day. |
| |
| High fibre consumers | Healthy adults consuming greater than or equal to 25 grams of fibre per day. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dietary fibre | Other | Habitual dietary consumption from a variety of foods will be assessed using 7-day food logs entered by the participant and assessed for accuracy by a dietitian. |
| Measure | Description | Time Frame |
|---|---|---|
| Trait stress/mood: self-report | Self-report questionnaires | Compared at baseline |
| Trait stress/mood: hypothalamic-pituitary-adrenal axis activity | Cortisol from saliva samples | Compared at baseline |
| Responses to acute stress: self-report | Self-report questionnaires | Compared at baseline |
| Responses to acute stress: hypothalamic-pituitary-adrenal axis activity | Cortisol from saliva samples | Compared at baseline |
| Responses to acute stress: sympathetic-adrenal-medullary pathway activity | Galvanic skin response taken from the skin on the hand | Compared at baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Cognitive performance: working memory | Spatial Working Memory | Compared at baseline |
| Cognitive performance: episodic memory | Modified Rey Auditory Verbal Learning Test (ModRey) |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy adult volunteers consuming varying amounts of dietary fibre.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Elizabeth Schneider, PhD | Contact | (+353) 021 4901721 | eschneider@ucc.ie | |
| Revathy Munuswamy, PhD | Contact | (+353) 021 4901721 | RMunuswamy@ucc.ie |
| Name | Affiliation | Role |
|---|---|---|
| John F Cryan, PhD | APC Microbiome Irealnd | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| APC Microbiome Ireland | Recruiting | Cork | T12YT20 | Ireland |
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| ID | Term |
|---|---|
| D004043 | Dietary Fiber |
| ID | Term |
|---|---|
| D004040 | Dietary Carbohydrates |
| D002241 | Carbohydrates |
| D005502 | Food |
| D000066888 | Diet, Food, and Nutrition |
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Blood, saliva, urine, and stool
| Compared at baseline |
| Cognitive performance: decision making | Iowa Gambling Task | Compared at baseline |
| Cognitive performance: emotional inhibition | Emotional stroop | Compared at baseline |
| Cognitive performance: sustained attention | Rapid Visual Information Processing | Compared at baseline |
| Cognitive performance: visual pattern recognition memory | Pattern Recognition Memory | Compared at baseline |
| Cognitive performance: cognitive flexibility | Intra-Extra Dimensional Set Shifting | Compared at baseline |
| Cognitive performance: social cognition | Emotion Recognition Task | Compared at baseline |
| Cognitive performance: affective perceptual bias | Emotional Bias Task | Compared at baseline |
| Microbiota composition and function | Shotgun metagenomics of fecal samples | Compared at baseline |
| Microbial and host metabolites | Untargeted metabolomics analysis in fecal and urine samples | Compared at baseline |
| Inflammation | Inflammatory markers in lipopolysaccharide stimulated and unstimulated bloods | Compared at baseline |
| D010829 |
| Physiological Phenomena |
| D019602 | Food and Beverages |