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Biphasic Release of Immunoreactive Endothelins Following Acute Pulmonary Thromboembolism in Pigs

2000· article· en· W2079086223 on OpenAlexaff
John Y. C. Tsang, Bruno Battistini, Patrick H. Dussault, K. Stewart, Karim Qayumi

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2000
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversité LavalUniversity of British Columbia
Fundersnot available
KeywordsMedicineEndothelinsPulmonary arteryPulmonary hypertensionInternal medicinePerfusionLungPathogenesisCardiologyAnesthesiaThoracotomyEndothelin receptorReceptor

Abstract

fetched live from OpenAlex

The purpose of this investigation was to study the role of endothelins (ETs) in the pathogenesis of acute pulmonary thromboembolism (PTE). Eighteen piglets (20 +/- 3 kg) were anesthetized and ventilated with 100% oxygen, five of them then served as controls. Acute thromboembolic injury in the lung was induced by injecting 15-25 ml of preformed clots into the left lower lobar pulmonary artery during thoracotomy. Pulmonary arterial pressure (Ppa) increased by at least 2.5-fold from baseline. During the subsequent 8 h, seven blood samples were collected from the left atrium and assayed for immunoreactive ETs. The results showed that following PTE: (1) Ppa remained elevated but cardiac output remained constant throughout the experiments; (2) plasma level of immunoreactive ETs increased in the embolized group compared to controls and the profile of immunoreactive ET release suggested a biphasic response. We conclude that the release of these vasocontractile and bronchoconstrictive mediators after PTE may contribute to ventilation perfusion mismatching and account for the pulmonary hypertension and deterioration of gas exchange that are often seen clinically.

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 score0.002

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 communication0.0000.000
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 head0.014
GPT teacher head0.305
Teacher spread0.290 · 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

Citations10
Published2000
Admission routes1
Has abstractyes

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