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Record W2482764027

CELL THERAPY FOR FRACTURE NONUNION: ENDOTHELIAL PROGENITOR CELL SUBTYPES FOR HEALING SEGMENTAL DEFECTS

2013· article· en· W2482764027 on OpenAlexaff
Erica Giles, Aaron Nauth, Ting‐Li Lin, Michael A. Glick, Emil H. Schemitsch

Bibliographic record

VenueJournal of Bone and Joint Surgery-british Volume · 2013
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsNonunionBone healingProgenitor cellAngiogenesisEndothelial progenitor cellIn vivoMedicineEndothelial stem cellFlow cytometryCell biologyStem cellPathologyBiologyCancer researchIn vitroImmunologySurgery
DOInot available

Abstract

fetched live from OpenAlex

Introduction Nonunion is a common and costly fracture outcome. Intricate reciprocity between angiogenesis and osteogenesis means vascular cell-based therapy offers a novel approach to stimulating bone regeneration. Hypothesis The current study compared early and late outgrowth endothelial progenitor cell subtypes (EPCs vs OECs) for fracture healing potential in vitro and in vivo. Methods Primary cell cultures were isolated and characterized by endothelial assays, immunosorbent assays, and multi-color flow cytometry. Co-cultures of EPC subtypes with/without primary osteoblasts (pObs) were analyzed for tube length and connectivity. In vivo, EPCs or OECs (1×10 6 ) seeded on a gelfoam scaffold were implanted in a rat model of nonunion. Radiography was used to monitor callus formation. Results OECs expressed more BMP-2 and less VEGF than EPCs (p Discussion and Conclusion Despite favorable tubulogenic and osteoconductive profiles of OECs, EPCs display enhanced fracture healing in vivo. Differences in CXCR4 expression and cell-mediated effects may contribute to this result.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.232
Teacher spread0.218 · 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 designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

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