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Record W4212902004 · doi:10.1093/jcag/gwab049.241

A242 STOOL FROM IBS-D PATIENT WITH A HISTORY OF A DYSBIOTIC AND NON-DYSBIOTIC ONSET MODULATE NEURONAL EXCITABILITY VIA DIFFERENT MECHANISMS

2022· article· en· W4212902004 on OpenAlexaff
Nestor N. Jiménez-Vargas, M Guzman Rodriguez, Yang Yu, E Neary, Alan Lomax, David E. Reed, S Vanner

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsIrritable bowel syndromeHistamineInternal medicineMedicineDiarrheaFecesProteasesEndocrinologyGastroenterologyImmunologyPharmacologyBiologyMicrobiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background We have shown that Irritable Bowel Syndrome diarrhea-predominant (IBS-D) patients with a history of a dysbiotic-like onset have distinct stool metabolomic profiles versus those with a non-dysbiotic-like onset. IBS stool supernatants can sensitize mouse colonic afferent nerves via both histamine and proteases. However, it is unknown if stool supernatants from the two IBS-D subgroups modulate the excitability of nociceptive neurons via different neuroactive mediators Aims To evaluate whether there are differences in neuroactive mediators within stool supernatants from subgroups of IBS-D patients that can modulate the excitability of nociceptive neurons. Methods Stool samples from healthy control (HC) (N=5) and IBS-D patients with a dysbiotic (N=7) or non-dysbiotic-like (N=7) onset, was homogenized with Krebs solution and filtered. Proteolytic activity was assessed using casein as a substrate with and without protease inhibitors. Histamine was quantified by ELISA. DRG neurons from C57BL/6 mice were incubated overnight or acutely (30 min) with stool supernatants. Some neurons were pre-incubated with PAR2 (GB83, 10 μM) or H1R (pyrilamine, 1μM) antagonists prior to supernatant incubation. Changes in neuronal excitability were assessed with perforated patch-clamp by measuring the rheobase (current that elicits an action potential). Results Proteolytic activity in dysbiotic-like (57.9 U/μg, p<0.05) but not non-dysbiotic like (37.4 U/μg) stool supernatant was increased compared to HC (25.2 U/μg). Serine inhibitor decreased proteolytic activity of dysbiotic (46.6%, p<0.05) and non-dysbiotic (34.2%, p<0.01) supernatant whereas cysteine, aspartic and metalloproteases inhibitors had no effect. Histamine was increased 78% (p<0.05) in IBS-D compared to HC. No differences in proteolytic activity and histamine concentration between IBS-D subtypes were found. In patch-clamp recordings, overnight incubation with dysbiotic (19%, p<0.05) and non-dysbiotic (22%, p< 0.01) stool supernatant decreased rheobase of DRG neurons compared to HC. No difference in rheobase was observed between IBS-D subtypes. GB83 blocked the overnight actions of supernatants from both subgroups, but pyrilamine had no effect. In contrast, following acute incubation, pyrilamine blocked the hyperexcitability evoked by dysbiotic like supernatant (60pA vs 48pA, p<0.001) but had no effect on non-dysbiotic like supernatants. Conclusions Proteases in stool supernatants from IBS-D patients increase neuronal excitability but only those with a history of dysbiotic like onset acutely increase neuronal excitability through H1 receptors. These findings suggest that stool supernatants from subgroups of IBS-D may modulate nociceptor excitability via different mechanisms. Funding Agencies CIHRAmerican Neurogastroenterology and Motility Society

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: none
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)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.173
Teacher spread0.167 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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