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Record W2332596112 · doi:10.3727/096368910x557164

A Novel and Simplified Method of Culture of Human Blood-Derived Early Endothelial Progenitor Cells for the Treatment of Ischemic Vascular Disease

2011· article· en· W2332596112 on OpenAlexafffund
Manaf Bouchentouf, K Forner, Jessica Cuerquis, Mohamed‐Rachid Boulassel, Jean‐Pierre Routy, Edmund K. Waller, Arshed A. Quyyumi, Pierre Paradis, Ernesto L. Schiffrin, Jacques Galipeau

Bibliographic record

VenueCell Transplantation · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsRoyal Victoria HospitalMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsPeripheral blood mononuclear cellVascular endothelial growth factorProgenitor cellHepatocyte growth factorGrowth factorEpidermal growth factorBasic fibroblast growth factorEndocrinologyAngiogenesisVasculogenesisEndothelial progenitor cellInternal medicineChemistryBiologyMedicineReceptorCell biologyStem cellIn vitroBiochemistryVEGF receptors

Abstract

fetched live from OpenAlex

Endothelial progenitor cells (EPCs) consist of two different subpopulations named early (eEPCs) and late EPCs (lEPCs) that are derived from CD14(+) and CD14(-) circulating cells, respectively. These cells are regularly cultured over fibronectin-coated surfaces in endothelial basal medium (EBM)-2 supplemented with insulin-like growth factor (IGF-1), vascular endothelial growth factor (VEGF), epidermal growth factor (EGF), and fibroblast growth factor (FGF). We have developed a new and simplified method for culturing human EPCs obtained from peripheral blood and tested their ability to preserve cardiac function following infarction. We first demonstrated that eEPCs derived from human peripheral blood mononuclear cells (PBMCs) and cultured in EBM-2 medium supplemented with autologous serum (10%) over fibronectin-coated surfaces (10 μg/ml) in the presence of IGF-1 (50 ng/ml) only, have a secretome similar to eEPCs cultured under regular conditions with IGF-1, VEGF, EGF, and FGF. Our data also indicate that IGF-1 modulates PBMC secretome in a dose-dependent manner. In another series of experiments, we showed that PBMCs cultured in suspension in bags (S-PBMCs) in basal medium supplemented with fibronectin and IGF-1 secrete significant amounts of stem cell factor (SCF, 31.3 ± 3.1 pg/ml)), hepatocyte growth factor (HGF, 438.6 ± 41.4 pg/ml), soluble tumor necrosis factor receptor 1 (sTNFR1, 127.1 ± 9.9 pg/ml), VEGF (139.3 ± 9.6 pg/ml), and IGF-1 (147.2 ± 46.1 pg/ml) but very low levels of TNF-α (13.4 ± 2.5 pg/ml). S-PBMCs injected intravenously into NOD SCID mice migrated to the injured myocardium, reduced cardiac fibrosis, enhanced angiogenesis, and preserved cardiac function after myocardial infarction (MI) in a manner similar to eEPCs cultured under standard conditions. In conclusion, we show in this study a refined and optimized method for culturing eEPCs. Our data indicate that S-PBMCs are composed of several cell populations including eEPCs and that they secrete high amounts of antiapoptotic, anti-inflammatory, and proangiogenic factors capable of preserving cardiac function following MI.

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: Methods · Consensus signal: none
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)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.266
Teacher spread0.243 · 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
GenreMethods

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

Citations11
Published2011
Admission routes2
Has abstractyes

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