MétaCan
Menu
Back to cohort

Baroreflex Resetting of Sympathetic Action Potential Subpopulations During Fatiguing Isometric Handgrip and Post‐Exercise Circulatory Occlusion

2020· article· en· W3016904199 on OpenAlexaffabout
Stephen A. Klassen, Mark B. Badrov, M. Erin Moir, J. Kevin Shoemaker

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsBaroreflexIsometric exerciseMicroneurographyBlood pressureCardiologyInternal medicineHeart rateMedicineCirculatory systemSympathetic nervous systemAnesthesia

Abstract

fetched live from OpenAlex

The arterial baroreflex exerts heterogeneous control over the varying‐sized action potential (AP) subpopulations active within human muscle sympathetic nerve activity (MSNA) under baseline conditions. How baroreflex control of sympathetic AP discharge becomes reset to facilitate sympathoexcitation during physical exercise remains to be investigated. Therefore, we quantified the baroreflex gain for each sympathetic AP cluster (i.e., reflecting different c‐fibres) within the MSNA filtered neurogram (microneurography and continuous wavelet transform) during baseline conditions (BSL), the last 2‐min of a 5‐min fatiguing isometric handgrip (20% of max; IHG), and during post‐exercise circulatory occlusion (PECO) in six healthy young participants (3 females, 23–31 years). Baroreflex gain was measured as the slope of the linear function between AP probability (%) versus diastolic blood pressure (DBP; Finometer). We classified AP clusters based on peak‐to‐peak amplitude using the following allocations: small (clusters 1–2), medium (clusters 3–8) and large (clusters 9–15). During BSL, medium AP clusters (e.g., cluster 3: −9.4 ± 2.7 %/mmHg) expressed the greatest baroreflex gains while small (e.g., cluster 1: −1.9 ± 0.4 %/mmHg) and large (e.g., cluster 9: −2.4 ± 0.9 %/mmHg) clusters expressed lesser gains (both P < 0.05 vs. cluster 3). Compared to BSL, baroreflex functions for most AP clusters during IHG and PECO were reset upwards to greater firing probabilities (both Condition‐by‐Cluster Interactions: P < 0.05) and rightwards to higher DBP (BSL: 69 ± 4, IHG: 81 ± 3, PECO: 79 ± 2 mmHg; both P < 0.05 vs. BSL). However, compared to BSL, the gains of the AP cluster baroreflex functions remained unchanged with IHG (e.g., cluster 1: −1.6 ± 0.4, cluster 3: −8.2 ± 2.9, cluster 9: −4.3 ± 1.8 %/mmHg, Main Effect: P > 0.05). Nonetheless, AP cluster gains were augmented above BSL during PECO (e.g., cluster 1: −2.6 ± 1.0, cluster 3: −16.0 ± 4.4, cluster 9: −5.5 ± 1.8 %/mmHg; Main Effect: P < 0.05). IHG (e.g., cluster 15: −1.6 ± 0.5 %/mmHg) and PECO (e.g., cluster 15: −0.6 ± 0.3 %/mmHg) recruited a subpopulation of previously silent larger and faster conducting APs that expressed weak baroreflex gains. These data suggest that during fatiguing isometric handgrip exercise the interaction between the central command feature and the skeletal muscle metaboreflex resets baroreflex control of discrete AP subpopulations to higher blood pressures and greater levels of discharge. In addition to resetting the baroreflex functions, independent activation of the muscle metaboreflex augments the strength of baroreflex control over subpopulations of previously active APs. Support or Funding Information Supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.030
GPT teacher head0.272
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 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicHeart Rate Variability and Autonomic ControlFrench-language works237,207