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Record W3008254169 · doi:10.1093/jcag/gwz047.117

A118 GUT MICROBIOTA TRANSPLANTATION FROM A PATIENT WITH SEVERE CONSTIPATION INDUCED CHANGES IN COLONIC FUNCTION AND STRUCTUR OF GNOTOBIOTIC MICE

2020· article· en· W3008254169 on OpenAlexaff
Xueqin Bai, Giada De Palma, Jun Lü, Stephen M. Collins, Přemysl Berčík

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGut floraConstipationInternal medicineGastroenterologyCecumTransplantationMedicineFecesImmunologyEndocrinologyBiologyMicrobiology

Abstract

fetched live from OpenAlex

Abstract Background Increasing evidence suggests that gut microbiota play a key role in gastrointestinal (GI) tract function. We have previously shown that fecal microbiota transplantation diarrhea predominant IBS patients into germ-free mice induces faster GI transit, increased permeability and innate immune activation. However, it is unknown whether gut dysfunction is induced by microbiota from patients with chronic constipation. Aims Here, we investigated the role of the intestinal microbiota in the expression of severe slow transit constipation in a patient with previous C difficile infection and extensive antibiotic exposure. Methods Germ-free (GF) mice (14 weeks old) were gavaged with diluted fecal content from the patient with constipation (PA) or a sex and age-matched healthy control (HC). 12 weeks later, we assessed gut motility and GI transit using videofluoroscopy and a bead expulsion test.. We then investigated intestinal and colonic smooth muscle isometric contraction in vitro using electric field stimulation (EFS), and acetylcholine (Ach) release was assessed by superfusion using [3H] choline. Histological changes were evaluated by H&E and immunohistochemistry. Results Mice with PA microbiota had faster whole GI transit (score 18.9 ± 0.9 (N=9) than mice with HC microbiota (15.4 ± 1.0, N=10, p=0.032), with markers located mainly in the distal small bowel and cecum. However, bead expulsion from the colon was significantly longer in PA mice (420.8 s ± 124.6 s, N=9) than in HC mice (82.6 s ± 20.0 s, N=10, p=0.026). This delayed colonic transit was likely due to colonic retroperistalsis visualized videofluoroscopically by retrograde flow of barium in the right colon of PA mice. There was no difference between the two groups in small intestinal or colonic tissues in Ach release or contractility induced by carbachol or KCl,. EFS caused transient biphasic relaxation and contraction in small intestine and colon, with the colonic contraction being stronger in the PA group. Microscopic tissue analysis showed disruption of the interstitial cells of Cajal (ICC) network and increased lymphocyte infiltration in colonic mucosa and submucosa in PA mice. Conclusions These results indicate that the microbiota is a driver of delayed colonic transit in a patient whose constipation started following extensive antibiotic exposure for C. difficile infection. The observed dysmotility pattern was not due to lower muscle contractility but likely caused by immune mediated changes in the ICC network. Funding Agencies 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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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
Published2020
Admission routes1
Has abstractyes

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