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Record W2791740790 · doi:10.1093/jcag/gwy009.283

A283 SECRETIONS OF INTESTINAL MICROBIOTA INCREASE THE EXCITABILITY OF VAGAL AFFERENT NEURONS VIA A PROTEASE ACTIVATED RECEPTOR 2 (PAR2)-DEPENDENT PATHWAY.

2018· article· en· W2791740790 on OpenAlexaff
Sabindra Pradhananga, Alan Lomax, Emma Allen‐Vercoe, Elaine O. Petrof

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsUniversity of GuelphQueen's University
Fundersnot available
KeywordsNodose GanglionRheobaseReceptorNeuroscienceBiologyNeuronVagus nerveElectrophysiologyChemistryStimulationBiochemistry

Abstract

fetched live from OpenAlex

The intestinal microbiota has recently been shown to have pronounced effects on the central nervous system (CNS). However, it is presently unknown how intestinal microbes signal to the CNS. There are two afferent neural pathways linking the intestine and the CNS: the spinal afferent pathway and the vagal afferent pathway. We have previously found that intestinal microbes decrease the excitability of spinal afferent neurons via the actions of serine proteases on protease activated receptors. The present work was conducted to determine if intestinal microbiota can change the excitablitiy of the vagal afferent pathway as the spinal afferent pathway. Perforated patch clamp electrophysiology was used to measure the excitability of the cultured vagal afferent neurons, whose cell bodies lie in the nodose ganglia. Dissociated nodose ganglion neurons were cultured overnight either in normal media or media containing supernatant from a human intestinal microbial community named microbial ecosystem therapeutics (MET-1). Nodose ganglion neuronal excitability was assayed by measuring the threshold amount of current required to elicit an action potential, the rheobase. MET-1 supernatant concentration-dependently increased the excitability of nodose ganglion neurons by decreasing the rheobase. The increase in excitability elicited by MET-1 supernatant was blocked by using a cocktail of protease inhibitors. Furthermore on using specific protease inhibitors, it was found that only cysteine protease inhibitor (E-64, 1:30000) was able to inhibit the effect of MET-1. Similarly PAR2 antagonist (GB-83, 10 µM) also blocked the effect of MET-1 on rheobase of nodose neurons. In contrast to spinal afferent neurons, which are inhibited by MET-1 supernatant, vagal afferent neurons are excited. MET-1 induced increased in excitability is cysteine protease dependent and is mediated by the PAR2 receptor. The increased excitability of vagal afferent neurons in response to microbial secretions suggest that the vagal pathway may be an important neural conduit allowing microbial modulation of CNS function. CCC

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation 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 score0.476
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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 teacher head, 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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