Nicotine improves the functional activity of late endothelial progenitor cells via nicotinic acetylcholine receptors
Bibliographic record
Abstract
The aim of this study is to investigate whether nicotinic acetylcholine receptors (nAChRs) are involved in the modulation of functional activity of late endothelial progenitor cells (EPCs) induced by nicotine. Total mononuclear cells (MNCs) were isolated from human umbilical cord blood by Ficoll density gradient centrifugation, and then the cells were plated on fibronectin-coated culture plates. Late EPCs were positive for 1,1-dioctadecyl-3,3,3,3-tetramethylindocarbocyanine-labeled acetylated low-density lipoprotein (DiI-acLDL) uptake and fluorescein-isothiocyanate-conjugated Ulex europaeus agglutinin lectin (UEA-1) binding. Expression of von Willbrand factor (vWF), kinase insert domain receptor (KDR), and α7 nAChR was detected by indirect immunofluorescence staining. Late EPCs of 3-5 passages were treated for 32 h with either vehicle or nicotine with or without pre-incubation of nAChR antagonism, mecamylamine, or α-bungarotoxin. The viability, migration, and in vitro vasculogenesis activity of late EPCs were assayed with 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, modified Boyden chamber assay, and in vitro angiogenesis assay, respectively. Late EPCs adhesion assay was performed by replating cells on fibronectin-coated plates, and then adherent cells were counted. Incubation with 10 nmol/L nicotine enhanced viable, migratory, adhesive, and in vitro vasculogenesis capacity of late EPCs. The effect of nicotine on late EPCs can be attenuated by mecamylamine or α-bungarotoxin. In conclusion, nicotine improves the functional activity of late EPCs via nAChRs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".