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Record W2168620923 · doi:10.1039/c4bm00099d

Decreased tissue factor expression with increased CD11b upregulation on elastin-based biomaterial coatings

2014· article· en· W2168620923 on OpenAlexaff
Meghan Rooney, Kimberly A. Woodhouse

Bibliographic record

VenueBiomaterials Science · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsQueen's University
FundersScience Foundation Ireland
KeywordsElastinDownregulation and upregulationFlow cytometryPlateletCoatingIn vivoIn vitroIntegrin alpha MAdhesionChemistryBiomaterialPlatelet activationBiophysicsMaterials scienceMolecular biologyCell biologyImmunologyBiochemistryComposite materialNanotechnologyBiologyPathologyMedicine

Abstract

fetched live from OpenAlex

Elastin-like polypeptide (ELP) coatings have been shown to have non-thrombogenic properties both in vitro and in vivo. In this work, we expand our understanding of this phenomenon by investigating the interaction of these coatings with leukocytes. Citrated whole blood was exposed to a shear rate of 300 s−1 for 2 hours at 37 °C on ELP1- and ELP4-coated polyethylene terephthalate (Mylar™) surfaces in a cone and plate device. Scanning electron microscopy and flow cytometry were used to measure leukocyte activation and platelet–leukocyte aggregation in response to the ELP1 and ELP4 coatings on the surface and in the bulk, respectively. Surface analysis showed little leukocyte activity on the surface of uncoated positive controls. Both the tissue factor (TF) expression (indicative of leukocyte activation) and CD61 expression (indicative of platelet–leukocyte aggregates), in the bulk were decreased by 40% and 20%, respectively, with the ELP coating of Mylar™, while a two- to three-fold increase in CD11b upregulation (indicative of leukocyte activation) for ELP1 and ELP4 was determined. Two of three bulk markers indicated that ELP-coated Mylar™ decreased the leukocyte response compared to the uncoated Mylar™, while the third, CD11b, indicated an increase in leukocyte response to the ELP coatings.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.024
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.283
Teacher spread0.271 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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