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Dietary fiber 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 fiber in this regard is understudied. In the last decade, the role of the microbiota (trillions of microbes inhabiting the gut) in influencing various aspects of human health, including mental health and behavior, has also become established. Importantly, dietary fiber has been shown to positively affect the microbiota composition.
In this study, the role of dietary fiber in cognition through the lens of the microbiota is investigated. A two-part study including an observational (study 1) and interventional (study 2) arm has been designed. In study 1, the observational arm, 150 healthy individuals (30-60 years of age) will be recruited and grouped into high-fiber (>25 g/day, n=75) and low-fiber (<18 grams/day, n=75) consumers based on habitual dietary intake. Cognitive tasks (attention, episodic memory, decision making), psychological dimensions including impulsivity and emotional reactivity, biological samples (feces, blood, saliva, urine) and questionnaires about general health will be collected. In study 2, the interventional arm, a subgroup (n=60) of individuals from the low-fiber group will further be randomized into an 8-week randomized-controlled, parallel, single-blinded intervention to either receive a high fiber (n=30, aim 30 grams/day) or control (n=30) diet education. During the intervention period, individuals will provide repeated fecal samples in order to assess temporal microbial changes. At the end of the intervention period, individuals will undergo the same testing regarding cognitive and psychological variables and the same biological samples will be collected.
The investigators hypothesize that participants with higher dietary fiber intake at baseline will perform better in the cognitive tasks compared to individuals with low fiber intake, and that this difference can, in part, be mediated by the gut microbiota. Further the investigators hypothesize that through the dietary intervention the microbiota composition will positively shift to include more beneficial microbes and that cognitive performance will improve following the intervention.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| DIET | Experimental | Participants will receive four individual, approximately 30-minute long dietary education sessions. The participants will receive detailed instructions (including meal plans, information on high fiber foods and serving sizes) on how to consume at least 30 grams of fiber per day. |
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| CONTROL | Placebo Comparator | No diet education. Group will spend same amount of time with study dietitian, but discussion is limited to review of current eating habits and minimal input on eating habits with referencing the standard food pyramid. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| High fiber diet | Other | 30 grams of fiber per day |
| |
| Control diet |
| Measure | Description | Time Frame |
|---|---|---|
| Cognitive performance - Attention | Assessment of attention using the Paced Auditory Serial Addition Test (PASAT) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Cognitive performance - Episodic memory | Assessment of episodic memory using the Modified Rey Auditory Verbal Learning Test (ModRey) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Cognitive performance - Risky decision making | Assessment of risky decision making using the Cambridge Gambling Task (CGT) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Cognitive performance - Affective decision making | Assessment of affective decision making using the Iowa Gambling Task (IGT). | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Measure | Description | Time Frame |
|---|---|---|
| Microbiota composition and function | Shotgun sequencing of fecal samples | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Blood inflammatory profile |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gerard Clarke, PhD | Contact | 00353214901721 | G.Clarke@ucc.ie | |
| Kirsten Berding, PhD | Contact | 00353214901721 | kirsten.berdingharold@ucc.ie |
| Name | Affiliation | Role |
|---|---|---|
| John F Cryan, PhD | APC Microbiome Ireland, University College Cork | Principal Investigator |
| Gerard Clarke, PhD | APC Microbiome Ireland, University College Cork | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| APC Microbiome Ireland, University College Cork | Recruiting | Cork | Ireland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33641478 | Background | Berding K, Carbia C, Cryan JF. Going with the grain: Fiber, cognition, and the microbiota-gut-brain-axis. Exp Biol Med (Maywood). 2021 Apr;246(7):796-811. doi: 10.1177/1535370221995785. Epub 2021 Feb 28. | |
| 31460832 | Background | Cryan JF, O'Riordan KJ, Cowan CSM, Sandhu KV, Bastiaanssen TFS, Boehme M, Codagnone MG, Cussotto S, Fulling C, Golubeva AV, Guzzetta KE, Jaggar M, Long-Smith CM, Lyte JM, Martin JA, Molinero-Perez A, Moloney G, Morelli E, Morillas E, O'Connor R, Cruz-Pereira JS, Peterson VL, Rea K, Ritz NL, Sherwin E, Spichak S, Teichman EM, van de Wouw M, Ventura-Silva AP, Wallace-Fitzsimons SE, Hyland N, Clarke G, Dinan TG. The Microbiota-Gut-Brain Axis. Physiol Rev. 2019 Oct 1;99(4):1877-2013. doi: 10.1152/physrev.00018.2018. |
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| Other |
No diet education and change in diet |
|
Cytokine and chemokine levels (e.g., TNFalpha, IL-10, IL-6) will be measured in lipopolysaccharide stimulated and unstimulated bloods
| Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Salivary cortisol concentrations | Morning cortisol awakening response | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Stress assessment | Perceived Stress Scale (range 0 to 40 with higher scores indicating higher perceived stress) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Anxiety assessment | State Trait Anxiety Inventory (range 20-80 with higher scores indicating higher anxiety) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Emotion sensitivity, intensity, and persistence | Emotion Reactivity Scale (range 0-84 with higher scores indicating higher dysfunctional emotional reactivity) | Differences between groups at baseline and changes after 8-week of diet intervention in active group |
| Impulsivity-related traits | UPPS-P Impulsive Behavior Scale (range 59-236 with higher scores indicating higher dysfunctional impulsivity | Differences between groups at baseline and changes after 8-week of diet intervention in active group |