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Record W4323353325 · doi:10.1093/jcag/gwac036.275

A275 MECHANOSENSITIVE KCA2 + 1.1 CHANNEL MEDIATES INTRALUMINAL DISTENSION-INDUCED CALCIUM INFLUX IN ENTERIC NEURONS

2023· article· en· W4323353325 on OpenAlexafffund
Preedajit Wongkrasant, Onesmo B. Balemba, Wallace K. MacNaughton, Keith A. Sharkey

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsEnteric nervous systemDistensionMyenteric plexusMechanosensitive channelsBiologyAnatomyPerfusionInternal medicineChemistryEndocrinologyMedicineBiochemistryImmunohistochemistryImmunologyIon channel

Abstract

fetched live from OpenAlex

Abstract Background The enteric nervous system (ENS) is the extensive neural network within the wall of the gastrointestinal (GI) tract that is essential for the control of gut function. However, the mechanisms whereby the ENS responds to the mechanical forces associated with distension are not well understood, and this has implications for gut function in health and disease. Purpose This study aims to determine the mechanisms underlying the responsiveness of enteric neural circuits in the myenteric plexus to intraluminal distension. Method Intact segments of the colon from mice expressing a genetically encoded fluorescent calcium reporter specifically in enteric neurons (Wnt-1-GCaMP6 mice) or cholinergic neurons (Chat-GCaMP6 mice) were bathed and luminally perfused with Krebs solution in a custom-designed chamber (35-37°C, 95% O2 ,5% CO2, pH 7.4). Intracellular Ca2+ fluorescence in enteric neurons was visualized by live-cell confocal microscopy and was analyzed using Imaris™ software. Intraluminal distension was accomplished either by increasing luminal perfusion pressure or using colonic preparations containing natural fecal pellets. The degree of intraluminal distension produced by perfusion was defined by the relative distance between identified neurons in preparation and is expressed as a percentage increase in the distance between them. Distension was studied over a range from 0-75%. The degree of distension produced by a fecal pellet in the distal colon is approximately 75%. Result(s) Intraluminal distension significantly increased intracellular Ca2+ fluorescence in most (>85%) of neurons of the myenteric plexus. When the colon was distended, the response to depolarization by KCl, a general cell depolarization activator, and DMPP, a nicotinic receptor agonist in Wnt1-cre GCaMP6 mice and Chat GCaMP6 mice, respectively was substantially inhibited. To identify how distention induced an increase in intracellular Ca2+ fluorescence and inhibited depolarization, pharmacological inhibitors of mechanosensitive ion channels were used. The nonspecific mechanosensitive channel inhibitor, gadolinium (50 mM) and the Kca1.1 channel inhibitor, paxilline (10 mM), both significantly reduced the luminal distension-induced increase in intracellular Ca2+ fluorescence. The effect of luminal distension-inhibited cell depolarization by KCl recovered in the presence of paxilline. This was not observed in the Ca2+ responses evoked by DMPP, suggesting that other mechanisms may play a role in the inhibition of neuronal responses in cholinergic enteric neurons. Conclusion(s) The majority of neurons of the colonic myenteric plexus are mechanosensitive and show an increase in intracellular Ca2+ when the gut is distended. Myenteric neurons do not respond to nicotinic receptor activation when the gut is distended through a mechanism that is dependent on the activity of Kca1.1 channel. Supported by CIHR Disclosure of Interest None Declared

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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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
Published2023
Admission routes2
Has abstractyes

Explore more

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