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Record W2791758782 · doi:10.1093/jcag/gwy009.016

A16 FOLLOWING AN ANTI-INFLAMMATORY DIET PREVENTS INCREASES OF FECAL CALPROTECTIN AND ALTERS METABOLOMIC PROFILE OF ULCERATIVE COLITIS PATIENTS, A RANDOMIZED CONTROLLED TRIAL

2018· article· en· W2791758782 on OpenAlexaffabout
Ammar Hassanzadeh Keshteli, Karen Madsen, Cheryl Nickurak, Karen I. Kroeker, Raju K. Mandal, Rosica Valcheva, David S. Wishart, Sander Veldhuyzen van Zanten, Brendan P. Halloran, Richard N. Fedorak, Levinus A. Dieleman

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCalprotectinMedicineInternal medicineRandomized controlled trialUlcerative colitisGastroenterologyFecesUrineInflammatory bowel diseaseDisease

Abstract

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A relationship between ulcerative colitis and diet has been shown in epidemiological and experimental studies. To investigate the effectiveness of an anti-inflammatory diet for maintenance of remission in UC patients. In this 6-month randomized control trial, adult UC patients in clinical remission (partial Mayo score<3) who had a disease relapse within the previous 18 months were randomized to either an “Anti-inflammatory Diet (AID)” or “Canada’s Food Guide (CFG)” as the control group.A dietitian provided dietary recommendations to all patients in four face-to-face (baseline, month 1, 3, and 6) and three telephone (month 2,4,5) sessions. Menu plans provided to patients in the AID group were designed to increase dietary intake of fiber, prebiotics, probiotics, anti-oxidants, omega-3 fatty acids and to decrease dietary intake of red or processed meat, added sugar and alcohol. To assess clinical relapse, partial Mayo scoring was done monthly. Monthly 24h dietary recalls were used to assess adherence to the diets. At baseline and month 6 or relapse, fecal calprotectin (FCP), serum CRP, and quality of life were assessed. Metabolomic analysis was performed on urine (GC-MS, DI- LC MS/MS), serum (NMR, DI-LC MS/MS) and stool (NMR) samples collected at baseline and month 6 or relapse. Fifty-three patients were randomized to the two diet groups. The mean age of participants was 41.4 ± 14.7 y and 34 (64.2%) subjects were female. Five(19.2%) patients in the AID and 8(29.6%) patients in the control group relapsed during the trial (P=0.38). Patients following CFG had a statistically significant increase in FCP from baseline to month6/relapse, while patients following the AID showed no significant increase in their FCP over the 6 months (Figure1A). At baseline, the metabolomic profiles of patients randomized to the two groups were similar. However, at 6 months/relapse, the two groups had separated (Figure1B). In comparison to CFG group, patients in the AID group had higher glutamic acid(stool), creatinine (stool), and carnosine (urine) but lower 3-(3-hydroxyphenyl)-3-hydroxypropionic acid (urine), hydroxymandelic acid (urine), phosphatidylcholines (serum), acetone (stool), and Sumiki’s acid (urine). In comparison to the CFG group, patients in the AID group had a significant increase in dietary intake of some nutrients including zinc, selenium and phosphorus from baseline to month 6 or relapse. Modification of diet towards an inclusion of anti-inflammatory and reduction of inflammatory foods alters host and microbial metabolic pathways and can help prevent increases in colonic inflammation in UC patients in remission. Figure 1.A) Comparison of changes in fecal calprotectin levels from baseline to month 6/relapse between the two diet groups;B) Partial least squares discriminant analysis plot showing a significant difference in the metabolome of patients randomized to the two diet groups at month 6/relapse as identified by metabolites in urine,serum and fecal samples. Alberta Innovates Health Solutions

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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 designRandomized trial
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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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