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Pannexin's Role in Mediating Skeletal Muscle Active Hyperaemia

2018· article· en· W3175410350 on OpenAlexaffabout
Iain Lamb, Nicole Novielli, Coral L. Murrant

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSkeletal musclePannexinCell biologyChemistryVasodilationMuscle contractionBiologyIntracellularInternal medicineEndocrinologyGap junctionConnexinMedicine

Abstract

fetched live from OpenAlex

The dynamic metabolic rate of skeletal muscle coupled with the fact that discrete motor units can be recruited within a larger muscle bed necessitates a level of vascular control that allows blood flow to be directed to single muscle fibers. While the locus of blood flow regulation is undetermined, mounting evidence suggests capillaries (CAPS) may play a central role in blood flow coordination. This stems from CAPS close proximity to muscle fibres and, that CAPS can be stimulated by products of contraction to increase their own perfusion, via initiating a vasodilatory signal conducted upstream to its controlling arteriole. This cell‐cell communication is necessary to achieve the coordination needed to distribute blood flow to active skeletal muscle fibres. Gap junction dependent spread of hyperpolarization is prevalent in microvascular cell‐cell signaling, however the archetypal characteristics consistent with hyperpolarization are not always observed during conducted responses elicited by muscle contraction. This may suggest a 2 nd pathway involved in conducted signaling. Pannexin (PANX) channels have been implicated in cell‐cell signaling in other tissues. PANX allow the cellular release of ATP into the interstitial space to activate purinergic receptors on neighboring cells. Activated receptors increase intracellular Ca 2+ leading to PANX‐mediated ATP release and propagation of the signal to adjacent cells. We sought to determine if there was a role of PANX in CAP‐initiated condcuted responses. Using intravital microscopy of the hamster cremaster we stimulated CAPS with 1) vasoactive agents relevant to muscle contraction and 2) muscle contraction itself, while observing changes in diameter of the upstream arteriole associated with the stimulated CAP. 1) Micropipetting vasoactive agents; potassium chloride (KCl; 10 mM; n=7), adenosine (ADO, 10 −4 M; n=9), pinacidil (10 −5 M; n=8), SNAP (nitric oxide donor; 10 −6 M; n=13), and acetylcholine (10 −4 M; n=7) produced an upstream arteriolar dilation. However, when PANX blocker, mefloquine (MEF, 10 −5 M) was applied between the CAP stimulation site and observation site, the conducted responses elicited by KCl and ADO were inhibited by 111% and 67% respectively, while having no effect on the conducted response of other dilators. 2) Conducted responses were elicited by contracting muscle fibres underlying CAPS for 2 min while altering contraction frequency (6, 15 & 60 contractions per minute (CPM)) or stimulus frequency (4, 20 & 40 Hz). While each contraction parameter produced an upstream arteriolar dilation, we found that, in the presence of MEF, conducted responses at low (6CPM, n=15) and intermediate (15CPM; n=15) contraction frequency were unaffected but at high (60CPM; n=15) vasodilation was blunted by 35%. Further, MEF blunted the conducted response at low (4 Hz; n=7) and intermediate (20 Hz; n=7) stimulus frequency by 88% and 73%, respectively but not at high (40 Hz; n=7). These data show CAPS elicit a conducted response involving PANX channel signaling, and that this signal is physiologically relevant during skeletal muscle contraction. Evidence of a 2 nd pathway involved in mediating the conducted response begs the question of why 2 pathways exist when they seem to be mediating the same function. Support or Funding Information NSERC Canada. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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 score0.004

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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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