NCT06657001

Brief Summary

The goal of this observational research study is to determine how diet contributes to various gastrointestinal related conditions. The main question investigators aim to answer is: Are host genetics, diet, and microbiome all important determinants of GI disorders, and how their relative contribution varies among individuals and populations.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
4,001

participants targeted

Target at P75+ for all trials

Timeline
10mo left

Started Mar 2025

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress55%
Mar 2025Apr 2027

First Submitted

Initial submission to the registry

October 22, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

October 24, 2024

Completed
5 months until next milestone

Study Start

First participant enrolled

March 28, 2025

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2027

Last Updated

June 25, 2025

Status Verified

April 1, 2025

Enrollment Period

1.4 years

First QC Date

October 22, 2024

Last Update Submit

June 19, 2025

Conditions

Keywords

GI DisordersMicrobiomicsDietMicrobiomeNutritionGI Function

Outcome Measures

Primary Outcomes (1)

  • To Correlate Differences in Diet and Microbiome with Different GI Symptoms and Disease States

    Investigators will prospectively follow the clinical course of the patients throughout the duration of the study. Patient health outcomes will be documented from their medical record while the study is actively enrolling or undergoing data analysis.

    From enrollment through study completion, an average of 1 year.

Study Arms (1)

GI Disorders

Inflammatory Bowel Disease, Irritable Bowel Syndrome, Crohn's Disease, Celiac Disease, Diarrhea, Constipation

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adults who have consented to the Mayo Clinic Biobank with gastrointestinal disease.

You may qualify if:

  • Age greater than or equal to 18 years
  • Gastrointestinal patients with or without genomic sequencing results available for the following cohorts:
  • Inflammatory Bowel Disease (IBD)
  • Irritable Bowel Syndrome (IBS)
  • Crohn's Disease
  • Celiac Disease
  • Diarrhea
  • Constipation
  • Healthy age and sex matched controls with or without genomic sequencing results available
  • o Control is defined as patients without gastrointestinal disease or no symptoms at time of sampling
  • Able to provide written, informed consent
  • Participant has a smartphone device with access to internet connection

You may not qualify if:

  • Patients with cognitive impairment
  • Active use of antibiotics at the time of stool collection

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Mayo Clinic

Rochester, Minnesota, 55905, United States

Location

Related Publications (9)

  • Asnicar F, Berry SE, Valdes AM, Nguyen LH, Piccinno G, Drew DA, Leeming E, Gibson R, Le Roy C, Khatib HA, Francis L, Mazidi M, Mompeo O, Valles-Colomer M, Tett A, Beghini F, Dubois L, Bazzani D, Thomas AM, Mirzayi C, Khleborodova A, Oh S, Hine R, Bonnett C, Capdevila J, Danzanvilliers S, Giordano F, Geistlinger L, Waldron L, Davies R, Hadjigeorgiou G, Wolf J, Ordovas JM, Gardner C, Franks PW, Chan AT, Huttenhower C, Spector TD, Segata N. Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals. Nat Med. 2021 Feb;27(2):321-332. doi: 10.1038/s41591-020-01183-8. Epub 2021 Jan 11.

    PMID: 33432175BACKGROUND
  • Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.

    PMID: 26590418BACKGROUND
  • Thaiss CA, Itav S, Rothschild D, Meijer MT, Levy M, Moresi C, Dohnalova L, Braverman S, Rozin S, Malitsky S, Dori-Bachash M, Kuperman Y, Biton I, Gertler A, Harmelin A, Shapiro H, Halpern Z, Aharoni A, Segal E, Elinav E. Persistent microbiome alterations modulate the rate of post-dieting weight regain. Nature. 2016 Dec 22;540(7634):544-551. doi: 10.1038/nature20796. Epub 2016 Nov 24.

    PMID: 27906159BACKGROUND
  • Sudharsan B, Peeples M, Shomali M. Hypoglycemia prediction using machine learning models for patients with type 2 diabetes. J Diabetes Sci Technol. 2015 Jan;9(1):86-90. doi: 10.1177/1932296814554260. Epub 2014 Oct 14.

    PMID: 25316712BACKGROUND
  • Fallaize R, Macready AL, Butler LT, Ellis JA, Lovegrove JA. An insight into the public acceptance of nutrigenomic-based personalised nutrition. Nutr Res Rev. 2013 Jun;26(1):39-48. doi: 10.1017/S0954422413000024. Epub 2013 Apr 8.

    PMID: 23561449BACKGROUND
  • Berry SE, Valdes AM, Drew DA, Asnicar F, Mazidi M, Wolf J, Capdevila J, Hadjigeorgiou G, Davies R, Al Khatib H, Bonnett C, Ganesh S, Bakker E, Hart D, Mangino M, Merino J, Linenberg I, Wyatt P, Ordovas JM, Gardner CD, Delahanty LM, Chan AT, Segata N, Franks PW, Spector TD. Human postprandial responses to food and potential for precision nutrition. Nat Med. 2020 Jun;26(6):964-973. doi: 10.1038/s41591-020-0934-0. Epub 2020 Jun 11.

    PMID: 32528151BACKGROUND
  • Albers DJ, Levine M, Gluckman B, Ginsberg H, Hripcsak G, Mamykina L. Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput Biol. 2017 Apr 27;13(4):e1005232. doi: 10.1371/journal.pcbi.1005232. eCollection 2017 Apr.

    PMID: 28448498BACKGROUND
  • Murayama S, Numaguchi Y, Robinson AE, Richardson DE. Magnetic resonance imaging of calvarial eosinophilic granuloma. J Comput Tomogr. 1988 Oct;12(4):251-2. doi: 10.1016/0149-936x(88)90078-1.

    PMID: 3197424BACKGROUND
  • GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019 May 11;393(10184):1958-1972. doi: 10.1016/S0140-6736(19)30041-8. Epub 2019 Apr 4.

    PMID: 30954305BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Stool sample

MeSH Terms

Conditions

Inflammatory Bowel DiseasesIrritable Bowel SyndromeCeliac DiseaseDiarrheaConstipationCrohn DiseaseColitis, UlcerativeColitis, MicroscopicDigestive System Diseases

Condition Hierarchy (Ancestors)

GastroenteritisGastrointestinal DiseasesIntestinal DiseasesColonic Diseases, FunctionalColonic DiseasesMalabsorption SyndromesMetabolic DiseasesNutritional and Metabolic DiseasesSigns and Symptoms, DigestiveSigns and SymptomsPathological Conditions, Signs and SymptomsColitis

Study Officials

  • Purna Kashyap, MBBS

    Mayo Clinic

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
1 Year
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

October 22, 2024

First Posted

October 24, 2024

Study Start

March 28, 2025

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

April 1, 2027

Last Updated

June 25, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will not share

Locations