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Record W2793817184 · doi:10.1093/jcag/gwy009.021

A21 FERMENTABLE CARBOHYDRATE-MICROBIOME INTERACTIONS IN A MOUSE MODEL OF IBS

2018· article· en· W2793817184 on OpenAlexaff
Giada De Palma, David E. Reed, Chiko Shimbori, Marc Pigrau, Jun Lü, Marc Louis-Auguste, Y Zhang, Yang Yu, Nestor N. Jiménez-Vargas, Jessica Sessenwein, Cintya D. Lopez Lopez, Josue O. Jaramillo Polanco, Elena F. Verdú, Stephen M. Collins, Karen Madsen, Alan Lomax, Michael Beyak, S Vanner, Přemysl Berčík

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of AlbertaQueen's UniversityMcMaster University
Fundersnot available
KeywordsGut floraPrebioticHistamineEndocrinologyInternal medicineBiologyMicrobiomePathogenesisFecesImmunologyMedicineMicrobiologyBiochemistryBioinformatics

Abstract

fetched live from OpenAlex

The detailed mechanisms underlying IBS are poorly understood. Gut microbiota appears to play an important role in IBS pathogenesis, but little is known about its interaction with specific dietary components. We have previously shown that some patients with IBS improve symptoms when on low FODMAPs diet, which was associated with low urinary histamine. To investigate mechanisms underlying IBS symptom generation due to the interaction of a high fermentable diet and the intestinal microbiota. Germ-free NIH Swiss mice were colonized with fecal microbiota from two IBS patients (non-constipation), with either a high (HH) or low (LH) urinary histamine level (n=24 mice/patient), and one healthy control (HV) (n=8). Specific-pathogen free (SPF) mice (n=8) were included as additional controls. Mice were assigned to a custom-made low or high fermentable carbohydrate diet (LF and HF, respectively). GI transit (beads study), cecal volume (CT scan), intestinal permeability (FITC-Dextran) and gut microbiota composition (Illumina sequencing) were assessed. Neuronal excitability by patch clamp recordings of DRG neurons (action potential rheobase) exposed to colonic supernatants and changes in mechanosensitivity of single unit afferent recordings in mouse distal colon were measured. Diet significantly altered gut microbiota composition and diversity only in HH colonized mice. All mice on HF diet (HV, HH, LH, and SPF) had increased cecal volume (Diet effect: p<0.001, F(1,55)=14.097; microbiota effect: p=0.019 F(3,55)=3.6) compared to mice on LF diet, more pronounced in mice with HH and LH microbiota. Compared to LF diet, the HF diet induced slower GI transit (p=0.009) and increased permeability (FITC-Dextran: p=0.03) only in HH colonized mice. HF diet increased neuronal excitability in mice with HH and, to some degree, in LH microbiota, but not in HV and SPF microbiota colonized mice. This increased neuronal excitability was inhibited by specific protease and H1 antagonists. In vitro experiments demonstrated that cecal microbiota from HH mice on HF diet produced several fold higher levels of histamine, compared to the microbiota from other groups of mice. High fermentable diet induces changes in gut function in gnotobiotic mice colonized with microbiota from a patient with high urinary histamine. This specific microbiota has the capacity to produce high levels of endogenous histamine, which may contribute to the observed gut dysfunction. CAG, 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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