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Record W2317471812 · doi:10.1097/bot.0b013e318266eb7e

Expression of VEGF Gene Isoforms in a Rat Segmental Bone Defect Model Treated With EPCs

2012· article· en· W2317471812 on OpenAlexafffund
Ru Li, Aaron Nauth, Claire Li, Erion Qamirani, Kıvanç Ateşok, Emil H. Schemitsch

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineAngiogenesisBone healingVascular endothelial growth factorProgenitor cellCD34Long boneParacrine signallingBone marrowPathologyInternal medicineSurgeryStem cellCell biologyBiologyVEGF receptorsReceptor

Abstract

fetched live from OpenAlex

OBJECTIVES: Angiogenesis and osteogenesis are essential for bone growth, fracture repair, and bone remodeling. Vascular endothelial growth factor (VEGF) has an important role in bone repair by promoting angiogenesis and osteogenesis. In our previous study, endothelial progenitor cells (EPCs) promoted bone healing in a rat segmental bone defect as confirmed by radiological, histological, biomechanical, and micro-CT evaluations. Although EPCs have demonstrated effectiveness in animal models of fracture healing, the mechanism by which EPCs enhance fracture healing remains unclear. We hypothesized a possible paracrine mechanism of action, where the secretion of growth factors critical to the processes of fracture healing (such as VEGF), is responsible for the positive effects of EPC therapy. The purpose of this study was to evaluate VEGF gene expression after local EPC therapy for a rat segmental bone defect. METHODS: Rat bone marrow-derived EPCs were isolated by the Ficoll-paque gradient centrifuge technique. The EPCs were cultured for 7-10 days in endothelial cell growth medium with supplements and collected for treatment of the rat segmental bone defect. EPCs were identified by immunocytochemistry staining with primary antibodies for CD34, CD133, fetal liver kinase-1, and Von Willebrand factor. A total of 56 rats were studied. A 5-mL segmental bone defect was created in the middle one-third of each femur followed by miniplate fixation. The treatment group received 1 × 10 EPCs locally at the bone defect on a gelfoam scaffold and control animals received the gelfoam scaffold only. Seven control and 7 EPC-treated rats were included in each group at 1, 2, 3, and 10 weeks. The animals were sacrificed at the end of the treatment period, and specimens from the fracture gap area were collected and immediately frozen. Rat VEGF mRNA was measured by reverse-transcriptase-polymerase chain reaction and quantified by VisionWorksLS. All measurements were performed in triplicate. RESULTS: Cultured EPCs at 1 week showed positive staining for CD34, CD133, fetal liver kinase-1, and Von Willebrand factor markers. The EPC group had a greater VEGF expression than the control group at weeks 1, 2, and 3, but not at week 10. Three VEGF isoforms were detected in this rat model: VEGF120, VEGF164, and VEGF188. VEGF120 and VEGF164 levels peaked at 2 weeks, whereas VEGF188 levels peaked at 3 weeks. All 3 VEGF isoform levels were low at 10 weeks. DISCUSSION AND CONCLUSIONS: EPC-based therapy for a segmental bone defect results in increased VEGF expression during the early period of fracture repair. In addition, the specific VEGF isoform may be a key regulator of the bone healing process. These findings demonstrate that EPCs may promote fracture healing by increasing VEGF levels and thus stimulating angiogenesis, a process that is essential for early callus formation and bone regeneration.

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 score0.137
Threshold uncertainty score0.368

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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

Citations32
Published2012
Admission routes2
Has abstractyes

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