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Record W2981322860 · doi:10.1177/0885328219884023

Biodegradable hypoxia biomimicry microspheres for bone tissue regeneration

2019· article· en· W2981322860 on OpenAlexaff
Lina Hadidi, Justine Constantin, Benjamin Dalisson, Daniela Vieira, Justin Drager, Edward J. Harvey, Géraldine Merle

Bibliographic record

VenueJournal of Biomaterials Applications · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsMcGill UniversityMontreal General Hospital
FundersOrthopaedic Trauma Association
KeywordsDeferoxamineBiomedical engineeringBone healingHypoxia (environmental)Materials sciencePharmacologyMedicineSurgeryChemistryOxygenBiochemistry

Abstract

fetched live from OpenAlex

The iron chelator deferoxamine is a hypoxia biomimicry and has received interest as a potential therapeutic in tissue engineering and regenerative medicine. Recently, local injection of this iron chelator deferoxamine has proven to increase bone healing through the activation of the hypoxia-inducible factor-1 signaling pathway that augments angiogenesis and osteogenesis. Repeated injections of deferoxamine are required to achieve local therapeutic levels at fracture site. To achieve local therapeutic levels at fracture site without the use of multiples injections and associated pain and infection issues, we designed and prepared polymeric microspheres made of polycaprolactone and poly(ethylene oxide), in which deferoxamine was encapsulated, via a melting process. The application of this process has enabled to obtain spheres of different poly(ethylene oxide) concentrations for optimizing the drug release rate. The effective local release carrier offers a predetermined rate that can mimic the effect of repeated deferoxamine injections over a 14-day period to selectively stimulate bone repair and thus improve the biological performance to the point where ideally synthetics begin to challenge autograft dominance as the bone replacement of choice.

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 score0.003

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 integrity0.0000.000
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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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