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Record W4407285791 · doi:10.1093/jcag/gwae059.168

A168 DIFFERENTIAL ASSOCIATION OF DIETARY FIBER INTAKE WITH METABOLOMIC AND PROTEOMIC SIGNATURES LINKED TO THE RISK OF CD

2025· article· en· W4407285791 on OpenAlexaffabout
J Kim, C McShane, Meilan Xue, S Lee, Haim Leibovitzh, J Shao, Reihane Khorasaniha, A M Griffiths, Heather Armstrong, Paul Moayyedi, Ken Croitoru, Williams Turpin

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsMcMaster UniversitySickKids FoundationUniversity of Manitoba
Fundersnot available
KeywordsMetabolomicsDietary fiberDifferential (mechanical device)Association (psychology)FiberMedicineChemistryFood scienceComputational biologyInternal medicineBiologyChromatographyPsychologyPhysics

Abstract

fetched live from OpenAlex

Abstract Background Epidemiologic studies have shown that increased dietary fiber intake may be associated with a reduced risk of developing Crohn’s disease (CD). Our previous research identified specific patterns of serum proteomics and metabolomics associated with CD onset. Aims We aimed to understand how specific dietary fibers might be associated with risk biomarkers of CD in a high-risk population. Methods In the CCC-GEM Project, a nested case-control cohort was established involving healthy first-degree relatives (FDRs) of individuals with CD. This cohort was matched in a 1:4 ratio, comparing those who developed CD with those who remained healthy. The intake of five energy-adjusted dietary fibers, including inulin, fructooligosaccharides (FOS), β-glucan, pectin, and arabinoxylan, was assessed using a food frequency questionnaire completed at recruitment. Of the serum markers measured at recruitment, 63 metabolites (Metabolon®) and 25 proteins (Olink®), and C-reactive protein (Prometheus®) were associated with future CD risk; 34 metabolites and 15 proteins were associated with increased CD risk, while 29 metabolites and 10 proteins were protective against CD risk. To evaluate the association between dietary fibers and these serum markers, we used generalized estimating equations, considering a false discovery rate-adjusted p < 0.05 as significant. Results Among 215 healthy FDRs, 41 developed CD during a median follow-up of 9.4 years, while 173 remained healthy. We found that 14 metabolites and eight proteins previously associated with an increased risk of developing CD in future were negatively associated with the intake of at least one dietary fiber, whereas six metabolites and five proteins linked to a decreased risk of CD development were positively associated with dietary fibers. In particular, the intake of inulin, FOS, and β-glucan was negatively associated with the CD-associated markers TREM1, MMP9, HGF, and sphingomyelin species (p < 0.001), and positively associated with isocitrate (p < 0.001), previously linked to a reduced CD risk. Furthermore, the consumption of inulin, FOS, β-glucan, anarabinoxylan were negatively associated with C-reactive protein levels (p < 0.05). Conclusions Our findings suggest that select fermentable dietary fiber intake may be protective against the development of CD by influencing the abundance of specific proteins and metabolites associated with CD risk. Further research is needed to directly explore the mechanisms of specific fermentable dietary fibers on CD development. Submitted on behalf of the Crohn’s and Colitis Canada GEM Project Research Consortium, list available at www.gemproject.ca. Funding Agencies CCC, CIHRHelmsley Charitable Trust

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.215
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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