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Record W4407285152 · doi:10.1093/jcag/gwae059.053

A53 NOVEL PROTEASE–HISTAMINE INTERACTIONS POTENTIATE PAIN SIGNALING EVOKED BY FECAL SUPERNATANTS FROM IBS PATIENTS

2025· article· en· W4407285152 on OpenAlexaff
N Jimenez Vargas, D A Gilmour, Badr Sokrat, Aidan S. Bennett, Alan Lomax, David E. Reed, Nigel W. Bunnett, S Vanner

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsHistamineProteaseFecesMedicineImmunologyPharmacologyChemistryBiologyBiochemistryEnzymeMicrobiology

Abstract

fetched live from OpenAlex

Abstract Background Proteases and histamine, originating from intestinal tissue and/or the microbiota, have each been implicated in the severe pain symptoms reported by patients with irritable bowel syndrome (IBS). However, the effects of their combined signaling and the mechanisms involved have not been studied. Aims To determine whether histamine and trypsin synergistically enhance colonic nociceptive signaling and, if so, to study the mechanisms involved. Methods Fecal supernatants (FS) were obtained from IBS patients with low and high pain scores. Responses to luminal application of FS, histamine and protease (trypsin) and antagonists (H1R-pyrilamine, PAR2-GB83) were studied using ex vivo mouse colonic afferent nerve recordings. In mechanistic studies, excitability of isolated mouse dorsal root ganglia (DRG) neurons was measured using patch clamp recordings of rheobase after combined or sequential application of agonists. To study endosomal signaling, neurons were incubated with clathrin inhibitor, pitstop2, before agonists. Using HEK cells, recruitment of mGαq to PAR2 and H1R at the plasma membrane (CAAX) or early endosome (Rab5) was measured using bioluminescence resonance energy transfer (BRET) in response to sequential application of increasing doses of trypsin and histamine. Results In colonic afferent nerve recordings, FS from IBS patients with high pain scores increased mechanosensitivity (50%; p <0.001) and this was blocked by either a PAR2 and H1R antagonist, whereas FS from those with low pain scores had no effect. Trypsin and histamine at subthreshold concentrations (30 μM) alone had no effect. However, their co-application increased afferent mechanosensitivity (46%; p <0.001); similar effects were observed in patch clamp recordings from DRG neurons (rheobase decreased 33%; p <0.05). To study the mechanism of this synergistic interaction, DRG neurons were recorded after a sequential incubation with histamine and proteases. Incubation first with histamine had no effect (p=0.55) on the subsequent trypsin-mediated PAR2 excitability but incubation first with trypsin amplified the histamine response by 42 % (p<0.01). This PAR2-mediated action was blocked by inhibitors of endosomal signaling. In keeping with these findings, BRET studies revealed that incubation first with trypsin promoted mGαq recruitment to the plasma membrane and early endosomes, whereas histamine did not. Conclusions Conclusion: FS from IBS patients with high pain scores caused exaggerated pain signaling from the mouse colon and was mediated by the synergistic action of histamine and proteases. Mechanistic studies revealed a novel pathway where trypsin-mediated PAR2 endosomal signaling amplified histamine-evoked pain signaling. These findings could inform future studies of IBS therapies and biomarkers. 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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0050.000

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 head0.250
Teacher spread0.242 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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