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Modulation of KCNQ Channels is a Potential Mechanism for Controlling Inspiratory Burst Duration

2017· article· en· W4389020273 on OpenAlexafffund
Ann L. Revill, Alexis Katzell, Gregory D. Funk

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAlberta Innovates - Health SolutionsWomen and Children's Health Research InstituteCummings Foundation
KeywordsDepolarizationMembrane potentialChemistryBurstingBrainstemBiophysicsElectrophysiologyInternal medicineNeuroscienceMedicineBiology

Abstract

fetched live from OpenAlex

The preBötzinger Complex (preBötC) is a key site of inspiratory rhythm generation in mammals and significant progress has been made toward defining the mechanisms underlying inspiratory burst generation. In contrast, the mechanisms that control burst duration have received relatively little attention. Here we test the hypotheses that KCNQ channels help determine inspiratory burst duration and contribute to burst termination. KCNQ channels mediate a slow, voltage‐gated outward K + current that is active at resting membrane potential and becomes larger with membrane depolarization. This current helps determine resting membrane potential and also acts to stabilize membrane potential. Using rhythmically‐active brainstem spinal cord (BSSC) and rhythmic medullary slice preparations from neonatal rats (postnatal day 0–4), we examined the role of KCNQ in controlling inspiratory behavior by assessing the effects of KCNQ inhibitors and activators on inspiratory burst duration and inspiratory frequency recorded from the C4 ventral nerve root in BSSC preparations and the XII nerve in slices. Bath application of the KCNQ channel blockers XE991 (0.1 μM and 1 μM) and linopirdine (6 μM, BSSC; 3 μM, slice) caused a time‐ and concentration‐dependent increase in burst duration (XE991, 1 μM: BSSC: 1.35 ± 0.05 fold increase, n = 6, p < 0.05; slice: 3.59 ± 0.20 fold increase, n = 5, p < 0.05; linopirdine: BSSC: 1.22 ± 0.04 fold increase, n = 8, p < 0.05 slice: 1.94 ± 0.13 fold increase, n = 6, p < 0.05), but only XE991 caused a decrease in burst frequency (1 μM: 0.52 ± 0.03 of control levels, p < 0.05). Local microinjection of XE991 (10 μM) directly into the preBötC produced very similar effects on burst duration (3.65 ± 0.86 fold increase, n = 3, p < 0.05) and burst frequency (0.59 ± 0.04 of control, p < 0.05). In contrast, potentiation of the KCNQ current via bath application of retigabine (2 μM) caused a significant decrease in inspiratory burst duration (BSSC: 0.62 ± 0.05 times control, n = 5, p < 0.05; slice: 0.72 ± 0.06 times control, n = 8, p < 0.05) and a decrease in burst frequency. Inspiratory burst generation ceased when retigabine concentration was increased to 3 μM. These data suggest that activation of KCNQ channels specifically within the preBötC contributes to inspiratory burst termination and that their modulation may provide a mechanism for controlling inspiratory burst duration. Funding: CIHR, NSERC, WCHRI, AIHS, CFI. Support or Funding Information CIHR, NSERC, WCHRI, AIHS, CFI

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.292
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 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
Published2017
Admission routes2
Has abstractyes

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