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Record W2094589435 · doi:10.1002/mabi.201100447

Chondroitin Sulfate and Epidermal Growth Factor Immobilization after Plasma Polymerization: A Versatile Anti‐Apoptotic Coating to Promote Healing Around Stent Grafts

2012· article· en· W2094589435 on OpenAlexafffund
Cindy Charbonneau, Juan‐Carlos Ruiz, Pauline Lequoy, Marie‐Josée Hébert, Grégory De Crescenzo, M. R. Wertheimer, Sophie Lerouge

Bibliographic record

VenueMacromolecular Bioscience · 2012
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsPolytechnique MontréalHôpital Notre-DameÉcole de Technologie SupérieureUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsChondroitin sulfateSurface modificationEpidermal growth factorCoatingChemistryBiophysicsAtmospheric-pressure plasmaWound healingGrowth factorApoptosisStentRegeneration (biology)Biomedical engineeringPolymerizationNanotechnologyMaterials scienceCell biologyGlycosaminoglycanPolymerPlasmaBiochemistrySurgeryReceptorBiologyMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

Bioactive coatings constitute an interesting approach to enhance healing around implants, such as stent-grafts used in endovascular aneurysm repair. Three different plasma techniques, namely NH₃ plasma functionalization and atmospheric- or low-pressure plasma polymerization, are compared to create amino groups and covalently bind CS and EGF bioactive molecules on PET. The latter presents the greatest potential. CS + EGF coating is shown to strongly decrease cell apoptosis and cell depletion in serum-free medium, while increasing cell growth compared to unmodified PET. This versatile biomimetic coating holds promise in promoting vascular repair around stent-grafts, where resistance to apoptosis is a key issue.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.259
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

Citations27
Published2012
Admission routes2
Has abstractyes

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