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Characterization of the Human EA.hy926 Endothelial Cell Response to Dietary Polyunsaturated Fatty Acids as a Function of Growth Conditions

2016· article· en· W2942105872 on OpenAlexaffabout
Youjia Du, Carla G. Taylor, Harold M. Aukema, Peter Zahradka

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of ManitobaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsMatrigelPolyunsaturated fatty acidFetal bovine serumEicosapentaenoic acidDocosahexaenoic acidLinoleic acidArachidonic acidEndothelial stem cellFatty acidBiologyBiochemistryChemistryAndrologyCellMedicineIn vitro

Abstract

fetched live from OpenAlex

Background Endothelial cells line the luminal surface of blood vessels and play an important role in maintaining vascular homeostasis. Inappropriate elevated levels of non‐esterified fatty acids in the blood may negatively affect endothelial cell function. The development of endothelial dysfunction is believed to be the initial step leading to atherosclerosis. Objective This study compared the effects of different polyunsaturated fatty acids (PUFAs) on the viability and proliferation of subconfluent and confluent human EA.hy926 cells grown with and without Matrigel (a mixture of extracellular matrix proteins that provide a surface for cellular attachment). Methods EA.hy926 were seeded (9000 cells/cm 2 ) on plastic dishes with and without Matrigel coating and cultured in Dulbecco's Modified Eagle Medium and 10% fetal bovine serum for up to 12 days without changing the media. Dietary PUFAs (linoleic acid, arachidonic acid – AA, α‐linolenic acid, eicosapentaenoic acid – EPA, docosahexaenoic acid – DHA) were prepared in phosphate‐buffered saline containing 5% fatty acid‐free bovine serum albumin and then added at final concentrations of 1 to 150 μM to subconfluent (4 d after seeding) and confluent cells (8 d after seeding) for 24 h. Viability was assessed using the Cell Counting Kit‐8 (CCK) while proliferation was assessed with a BrdU cell proliferation assay. Results Cells reached a maximum number 8 days after seeding on both plain and Matrigel coated dishes. However, BrdU incorporation peaked on day 7 when cells were grown on Matrigel and then started decreasing, whereas BrdU incorporation by cells grown on uncoated dishes continued for up to 10 days. On uncoated dishes, AA and DHA decreased the viability of subconfluent cells in a dose‐dependent manner, while EPA only had a slight effect. PUFA treatment had no effect on confluent cells. No decrease in viability was observed upon PUFA treatment of subconfluent and confluent cells when grown on Matrigel coated plates. On the other hand, the BrdU assay indicated that AA and DHA decrease the proliferation of both subconfluent and confluent cells in a dose‐dependent manner on Matrigel coated dishes. Conclusions EA.hy926 cells reach confluence 8 day after seeding on Matrigel coated and uncoated plates, but became quiescent only on Matrigel coated plates after becoming confluent suggesting extracellular matrix is important for normal function. AA and DHA showed an adverse effect on viability of endothelial cells, and their effects were greatest in subconfluent cells and in the absence of extracellular matrix. Survival of subconfluent cells exposed to high concentrations of PUFAs was greatest on Matrigel. The proliferative potential of both subconfluent and confluent cells was decreased by exposure to high concentration of AA and DHA on Matrigel. Significance Subconfluent and confluent endothelial cells have different responses to different concentration of different dietary PUFAs in relation to viability and proliferation. However, growth on Matrigel, which resembles the complex extracellular environment of blood vessels, promotes cell survival under high concentration of PUFAs, particularly AA and DHA, compared to the low survival rate of cells grown on uncoated dishes. This implies that Matrigel, by providing a more physiological relevant physical and chemical substrate, may also affect the response of endothelial cells to dietary PUFAs on other aspects, thus warranting further investigation. Support or Funding Information Funding from the Canadian Institute of Health Research (CIHR) and the University of Manitoba Graduate Enhancement of Tri‐Council Stipends (GETS) program.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.023
GPT teacher head0.288
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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