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Record W2002395357 · doi:10.1097/fjc.0b013e31811ffe51

Pharmacokinetics and Pharmacology of Hirulog-like Peptide

2007· article· en· W2002395357 on OpenAlexaff
Xiaofeng Tang, Jun Qian, Wan Dan-jing, Jianhua Zhu, Pingjin Gao, Dingliang Zhu, Garry X. Shen

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2007
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPharmacokineticsBolus (digestion)Partial thromboplastin timePharmacologySalineIntravenous bolusMedicineAnticoagulantChemistryAnesthesiaPlateletInternal medicine

Abstract

fetched live from OpenAlex

Hirulog-like peptide (HLP), a new thrombin peptide inhibitor, effectively reduces neointimal formation or restenosis in rat and rabbit vascular injury models. The present study investigated the pharmacokinetics and pharmacology of HLP in Sprague-Dawley (SD) rats. The input response of HLP in rats was studied using radioisotopic tracing method. Male SD rats were intravenously injected with a single dose of I-HLP (3.2, 6.4, or 12.8 mg/kg) for pharmacokinetic analysis. The concentration-time curve of I-HLP following bolus injection fitted a 3-compartment model. The half-life of HLP in rats was between 25 and 31 min following 3.2 to 12.8 mg/kg of bolus injection. Radioactivity of I-HLP was detected in all tested tissues and was most abundant in kidneys or stomachs. Blood pressure, respiratory frequency, and heart rates were not significantly altered during continuous intravenous infusion with saline or 1.6 to 3.2 mg/kg/h of HLP for 4 h. Bleeding time and activated partial thromboplastin time were significantly prolonged in rats infused with HLP compared to vehicle. ADP-induced platelet aggregation was significantly reduced in the HLP-treated groups compared with controls. The results suggest that HLP possesses first-order kinetic characteristics. HLP is secreted mainly through kidneys. Beside its anticoagulant activity, no other adverse effect was detected in SD rats receiving HLP.

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)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.021
GPT teacher head0.312
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 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

Citations4
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of Cardiovascular PharmacologySame topicBlood Coagulation and Thrombosis MechanismsFrench-language works237,207