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Record W2035798792 · doi:10.1002/bit.21233

Targeted delivery of antibody conjugated liposomal drug carriers to rat myocardial infarction

2006· article· en· W2035798792 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiotechnology and Bioengineering · 2006
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMyocardial infarctionDrug deliveryTargeted drug deliveryDrugPharmacologyMedicineDrug carrierInflammationLiposomeChemistryCardiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Immunoliposome (IL) targeting to areas of inflammation after an acute myocardial infarction (MI) could provide the means by which pro-angiogenic compounds can be selectively targeted to the infarcted region. The adhesion of model drug carriers and ILs coated with an antibody to P-selectin was quantified in a rat model of MI following left coronary artery ligation. Anti-P-selectin coated model drug carriers showed a 140% and 180% increase in adhesion in the border zone of the MI 1 and 4 h post-MI, respectively. Radiolabeled anti-P-selectin ILs injected immediately post-MI and allowed to circulate 24 h showed an 83% increase in targeting to infarcted myocardium when compared to adjacent non-infarcted myocardium. Radiolabeled anti-P-selectin ILs injected 4 h post-MI and allowed to circulate for 24 h showed a 92% increase in accumulation in infarcted myocardium when compared to adjacent non-infarcted myocardium. Targeting to upregulated adhesion molecules on the endothelium provides a promising strategy for selectively delivering compounds to the infarct region of the myocardium using our liposomal-based drug delivery vehicle.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.474

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 head0.005
GPT teacher head0.234
Teacher spread0.229 · 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