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Record W2921444584 · doi:10.1093/jcag/gwz006.173

A174 TYPE OF DIETARY FAT INFLUENCES DISEASE ACTIVITY IN A MURINE MODEL OF CHRONIC INTESTINAL INFLAMMATION

2019· article· en· W2921444584 on OpenAlexaff
Natasha Haskey, Jianan Ye, Jacqueline A. Barnett, Angelika Callaway, Sanjoy Ghosh, Deanna L. Gibson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsImmune systemPolyunsaturated fatty acidColitisDysbiosisGut floraBiologySaturated fatPolyunsaturated fatCalorieMediterranean dietInflammationImmunologyEndocrinologyInternal medicineFood sciencePhysiologyFatty acidMedicineCholesterolBiochemistry

Abstract

fetched live from OpenAlex

There is growing appreciation that the interaction between diet, the gut microbiota and the immune system contribute to the development and progression of colitis. The current hypothesis suggests an inappropriate and chronic activation of the immune system due to an abnormal intolerance to the gut microbiota. While dietary factors affect the functionality of intestinal epithelial cells and the underlying immune cells, dietary antigens alter the intestinal ecosystem enabling certain microbial populations to proliferate and dampen the dominance of others. High fat diets have been shown to result in dysbiosis, however our lab has clarified that the type of fat, not total calories derived from fat, influence gut dysbiosis and immunity. The n-6 polyunsaturated fatty acids (PUFA) promote colitis, monounsaturated fatty acids (MUFA) protect against colitis. The benefits of n-3 PUFA appear to be dependent on the presence of saturated fat (SFA) being present in the diet. Based on these results, we hypothesize that a blend of fats, similar the Mediterranean Diet Pattern (MDP) could be beneficial to colitis. To clarify the effects of different types of dietary fat in colitis by studying dietary fats in isolation from each other, as well as in combination similar to the MDP. Mucin2-deficient mice were weaned at day 21 on to isocaloric, isonitrogenous rodent chow blended with 20% w/w of either olive oil, anhydrous milk fat (AMF), corn oil or MDP for 9 weeks (n=10–12 male and females/group). Food intake, water intake and disease activity scores were measured weekly. Disease activity was determined by assessing general appearance, weight, blood in the stool, stool consistency and rate of rectal prolapse. Glucose tolerance testing was performed at week 9 of the diet intervention. Body weight, energy and fluid intake were similar between groups. Mice fed corn oil and AMF had significantly higher disease activity scores than MDP and olive oil (p<0.05), with more diarrhea, increased rectal swelling and blood found in the stool. Males fed corn oil (n=2) and AMF (n=1) developed spontaneous rectal prolapse (clinical endpoint). The corn oil resulted in impaired glucose tolerance compared to the AMF or MDP (p<0.0001). Statistically significant sex differences (p<0.05) were also found based on the type of fat consumed. The type of fat consumed, not total calories from fat, resulted in differing responses to disease activity, rates of rectal prolapse and glucose tolerance, which were also sex-dependant. We confirm that fats derived from n-6 PUFA are detrimental to colitis and a diet rich in MUFA is protective. Partial protection provided by the MDP and olive oil diets may be through alterations in the gut microbiome and its immune effects. Further work will confirm these hypotheses. CAG, CCC, CIHR

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.243
Teacher spread0.233 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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