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Lymphatic pacemaking

2009· article· en· W4210691392 on OpenAlexaff
Mohammad Shariq Imtiaz, Pierre‐Yves von der Weid, Melissa Crowe, Dirk van Helden

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLymphatic systemDepolarizationAnatomyLymphCoupling (piping)ChemistryBiophysicsBiologyMaterials scienceMedicinePathology

Abstract

fetched live from OpenAlex

Lymphatic vessels display rhythmic constriction‐dilation cycle which is known as vasomotion. The rhythmic constrictions propel fluid through the lymphatic chambers which are connected by valves. Our previous study has shown that lymphatic smooth muscle pacemaking occurs through a mechanism that involves Ca 2+ release from intracellular Ca 2+ stores through inositol 1,4,5‐trisphosphate (IP 3 ) receptor, and depolarization through L‐type Ca 2+ channels. The aims of this study were to extend our study on single lymphatic chambers to understand lymph propulsion in chains of valve connected lymphatic chambers. Our study shows that phase locking of Ca 2+ oscillations can occur across many lymphatic chambers and result in phase waves which manifest as slowly propagating waves of contractions within and across chambers. Our study also indicates that electrical coupling between chambers across valves is relatively poor. Numerical simulations indicate that chambers could partially interact through mechanical coupling between chambers.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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
Published2009
Admission routes1
Has abstractyes

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