The Impact of Red Meat and Whole-grains Intake on the Colonic Mucosal Barrier

NCT ID: NCT04235348

Last Updated: 2020-04-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

161 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-06-01

Study Completion Date

2020-02-28

Brief Summary

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This study evaluates the impact of red meat and whole-grain intake on the colonic mucosal barrier and the dietary impact of these groups on the induced low-grade inflammation

Detailed Description

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The mucus layer in the colon is a continuous barrier separating the epithelial cells from faecal enzymes, bacteria, toxic and other components. The colonic mucus layer in patients with Crohn's Disease and Ulcerative Colitis was previously demonstrated to be thinner and more permeable compared to healthy subjects.

The colonic mucus is composed of glycoproteins held together trough unstable disulfide bridges. The digestion of red meat is associated with monosulfide production, which could bind to the disulfide molecules, make more stable trisulfide molecules, and thus destroy the mucus architecture. Moreover, different bacteria were previously linked to red meat intake and were associated with a degradation of the colonic mucus such as akkermansia muciniphila.

From the other side, the fermentation of the undigested fibres, primarily in whole-grains, is associated with the production of short-chain fatty acids, which was related to a local anti-inflammatory effect.

In this study, we hypothesise:

1. High consumption of red meat is associated with a thinner colonic mucus layer;
2. High consumption of whole-grain fibres is associated with a thicker colonic mucus layer;
3. Mucin-2 gene expression is different between patients with high red meat consumption vs low red meat consumption;
4. Mucin-2 gene expression is different between patients with high whole-grain consumption vs low whole-grain intake;
5. The level of inflammatory markers in blood "IL-1beta, IL-4, IL-6, IL-10, Hs-CRP, and TNF-alfa is higher in subjects with high red meat and low whole-grain intake.

Conditions

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Mucus Colitis Inflammation, Colon Dietary Exposure

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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BELIEVE

Consists of subjects referred to a colonoscopy between June 1, 2017, and December 1, 2019, in the hospital of Southern Denmark

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Subjects referred to a colonoscopy in the Hospital of Southern Denmark
* Subjects able to read and understand Danish
* Mentally habile subjects
* Subjects who accept to be a part of the project

Exclusion Criteria

* History of active cancer
* A recent colonoscopy (less than 3 months ago )
* Anamnesis of Inflammatory bowel diseases.
Minimum Eligible Age

18 Years

Maximum Eligible Age

99 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Region of Southern Denmark

OTHER

Sponsor Role collaborator

Horizon 2020 - European Commission

OTHER

Sponsor Role collaborator

Hospital of Southern Jutland

OTHER

Sponsor Role collaborator

Knud and Edith Eriksens fond

UNKNOWN

Sponsor Role collaborator

University of Southern Denmark

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Mohamad Jawhara, M.D.

Role: PRINCIPAL_INVESTIGATOR

The University of Southern Denmark

Locations

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Hospital og Southern Jutland

Aabenraa, Region Syddanmark, Denmark

Site Status

Countries

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Denmark

References

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Jawhara M, Sorensen SB, Heitmann BL, Halldorsson ThornI, Pedersen AK, Andersen V. The Relation between Red Meat and Whole-Grain Intake and the Colonic Mucosal Barrier: A Cross-Sectional Study. Nutrients. 2020 Jun 12;12(6):1765. doi: 10.3390/nu12061765.

Reference Type DERIVED
PMID: 32545531 (View on PubMed)

Other Identifiers

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ColonicMucus

Identifier Type: -

Identifier Source: org_study_id

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