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Characterization of VIP‐induced contractile inhibition in lymphatic vessels

2009· article· en· W2294627006 on OpenAlexafffundabout
Pierre‐Yves von der Weid, Sonia Rehal, Peter Dyrda

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of Calgary
FundersCrohn's and Colitis Foundation of Canada
KeywordsVasoactive intestinal peptideLymphatic systemLymphChemistryLymphatic vesselInflammationEndocrinologyInternal medicineReceptorPharmacologyBiologyMedicineImmunologyPathologyNeuropeptide

Abstract

fetched live from OpenAlex

Lymphatic vessels actively remove interstitial fluid through rhythmical, phasic contractions of the muscle layer in the vessel wall. This activity is critical during inflammation to prevent excessive edema. Importantly, lymphatic pumping is modulated by inflammatory mediators. In particular, it is inhibited by vasoactive intestinal peptide (VIP), a neuro‐ and immuno‐modulator with anti‐inflammatory properties, detected in lymphatic innervation and in immune cells patrolling the lymph. Using electrophysiology, pharmacology and molecular biology techniques we aimed at characterizing the mechanisms involved in the inhibitory effect of VIP in lymphatic vessels of the guinea pig mesentery. RT‐PCR analysis revealed expression of VPAC1, VPAC2 and PAC1 receptor mRNAs in lymphatics. VIP‐induced pumping inhibition was shown to be concentration‐dependent (EC 50 15 nM) and accompanied by a hyperpolarization (range 4‐15 mV, n=4‐22). The PAC1 antagonist PACAP(6‐38) most effectively blocked VIP‐induced responses (n=4). VIP‐induced responses were not affected by nitric oxide synthase and cyclooxygenase inhibitions (n=4), but depend on protein kinase A and K ATP channel activation (n=4‐9). This inhibitory action of VIP needs to be considered during inflammation since high VIP concentrations in the vicinity of lymphatics may compromise lymph drainage Supported by the Crohn's and Colitis Foundation 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.265
Teacher spread0.246 · 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 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

Citations2
Published2009
Admission routes3
Has abstractyes

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Same venueThe FASEB JournalSame topicLymphatic System and DiseasesFrench-language works237,207