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Record W2794055433 · doi:10.1093/jcag/gwy008.006

A5 FRUCTOOLIGOSACCHARIDE EXACERBATES INFLAMMATION AND THE LOSS OF MICROBIAL DIVERSITY FOLLOWING ILEOCECAL RESECTION IN A MURINE MODEL OF POST-OPERATIVE CROHN’S DISEASE RECURRENCE

2018· article· en· W2794055433 on OpenAlexaff
Micheal Laffin, Troy Perry, Naomi Hotte, H Park, Richard N. Fedorak, Bryan J. Dicken, Karen Madsen

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFructooligosaccharideDysbiosisIleumButyratePrebioticCecumInflammationBiologyCrohn's diseaseMicrobiomeInternal medicineFecesOccludinClostridiumBacteroidesEndocrinologyGut floraImmunologyMicrobiologyBiochemistryMedicineDiseaseBacteriaBioinformaticsTight junction

Abstract

fetched live from OpenAlex

Fructooligosaccharide (FOS) is a fermentable prebiotic that stimulates the growth of bifidobacteria which has been shown to have anti-inflammatory activity. Individuals with Crohn’s disease frequently require ileocolic resection (ICR), and disease often recurs in the neo-terminal ileum following surgery. Previously we have shown that ICR in a mouse model induces gut dysbiosis, a depletion of anaerobic microbes, including bifidobacteria, and an increase in ileal inflammation. We hypothesized supplementation of a post-ICR diet with FOS in a mouse model would be effective in stimulating the growth of bifidobacteria and thus reducing systemic and local inflammation. ICR was performed in IL10-/- mice (129S1/SvlmJ) with established colitis. Following surgery, mice were subsequently fed a chow diet ± 10% FOS for 28 days (n=11), alongside diet-matched non-ICR control groups (n=11). Serum, colon, and terminal ileum (TI) were analyzed for cytokine expression by a MesoScale discovery platform. DNA extracted from stool was analyzed using 16s rRNA sequencing and qPCR. Expression of tight junction genes occludin and ZO1 was assessed using qPCR. Short-chain fatty acids (SCFA) concentrations were assessed using high-pressure liquid chromatography. A precipitous decrease in fecal bifidobacteria and bacterial diversity was seen following ICR (p<0.05). ICR also led to increased serum inflammatory cytokines (IL-2, IL-12, IL-4) (p<0.05) and a complete depletion of fecal butyrate (p<0.01). FOS-supplementation resulted in an increase in the relative amount of bifidobacteria and fecal acetate (p<0.01). However, contrary to our hypothesis, the FOS diet exacerbated post-operative systemic inflammation (elevated serum IL-6 p<0.05), ileitis (elevated IL-1β p<0.1) and colitis (elevated IFNγ and TNFα p<0.05). FOS-supplementation was not able to reverse the obliteration of fecal butyrate following ICR. Expression of occludin and ZO1 was reduced in FOS-supplemented mice (p<0.05). FOS supplementation exacerbated the loss of bacterial diversity following ICR and there was a correlation between loss of diversity and bifidogenic effectiveness of FOS in promoting bifidobacteria growth (r= -0.61, p<0.05). FOS-supplementation of a post-ICR diet resulted in a decrease in fecal bacterial diversity, reduction in barrier function, and increased inflammation. We speculate that providing high amounts of a targeted substrate allowed for the expansion of bifidobacteria’s niche, enabling a bloom of acetate-producing organisms which consequently hindered the growth of butyrate–producing anaerobic organisms necessary for gut homeostasis. None

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.230
Teacher spread0.222 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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