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Circulating Endothelial Progenitor Cells (EPCs): Variability between Normal Individuals as Measured by a New Standardized, Functional 5-Day In Vitro Colony Assay.

2004· article· en· W2594515180 on OpenAlexaff
C.S. Russell, Sharlene Faulkes, Carla Pereira, Terry E. Thomas, Allen Eaves, Emer Clarke

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsBC Cancer AgencyStemcell Technologies
Fundersnot available
KeywordsProgenitor cellFicollPeripheral blood mononuclear cellPopulationAndrologyImmunologyBiologyStem cellCD34Endothelial progenitor cellIn vitroDifferential centrifugationMolecular biologyMedicinePathologyCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Endothelial cells derived from pre-existing blood vessels are believed to be responsible for minor repairs to the peripheral vasculature; however, a more primitive circulating EPC is thought to contribute to the maintenance and repair of heart tissue and may be useful in treating more significant vascular injuries as well as myocardial infarcts. While numerous attempts to identify the antigen expression of endothelial precursors have been made, to date no conclusive in vitro functional assays have correlated with the proposed phenotypes. Although the exact phenotype of the precursor cell remains elusive, a recently described colony assay for EPCs showed an inverse correlation between the number of circulating colony-forming cells (CFCs) and the risk of cardiovascular disease (Hill et al., NEJM 348(7):2003). This suggests that the precursor cells that read out in this colony assay may play a role in cardiac tissue maintenance and repair. For this assay to be useful in research and clinical studies, the variability in the frequency of circulating EPCs in the general population needs to be determined. We evaluated the EPC number in peripheral blood (PB) of volunteer male (n = 18) and female (n = 13) donors from the general population (age range 23–54, median age 34 years). PB white blood cell counts (WBC) were determined and mononuclear cell fractions were obtained by Ficoll® gradient density centrifugation. Following cell washing, 5 x 106 cells per well were plated in EndoCult™ medium in a 6-well fibronectin coated (FN) plate and incubated for 48 hours. Non-adherent cells were then harvested and replicate cultures were initiated with 1 x 106 cells per well in a 24-well FN plate. EPC derived colonies, consisting of a central core of round cells and more elongated cells at the periphery, were enumerated following an additional 3 days in culture. The frequency of EPCs in PB varied between individuals with a range of 0 to 99 and a mean ± SD of 25 ± 23 per ml of blood. The frequency of EPCs did not correlate with either WBC (r = 0.199) or age (r = −0.083) for either gender. In a subset of individuals studied (n = 5), fluctuations in the frequency of EPCs were determined at multiple time points over an 8-month period. Two of 5 donors consistently had less than 10 EPCs per ml of blood, whereas the other 3 donors never had less than 20 EPCs per ml of blood. These results show that, while there is a relatively large variation in the frequency of EPCs between individuals in the general population, an individual’s colony content is quite consistent over time. In conclusion, the lack of temporal variability in the frequency of circulating EPCs within an individual supports the use of this standardized 5-day EPC assay for the measurement of differences in endothelial progenitor content between individual patients. As these endothelial progenitors may have a clinical association with cardiovascular health, this standardized functional assay could be useful for further comparative clinical trials across multiple centers.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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

Citations1
Published2004
Admission routes1
Has abstractyes

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