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Record W2922530643 · doi:10.1161/atvb.38.suppl_1.452

Abstract 452: Estrogen Inhibits LDL Transcytosis by Coronary Artery Endothelial Cells via GPER and SR-BI

2018· article· en· W2922530643 on OpenAlexaff
Siavash Ghaffari, Michael G. Sugiyama, Farnoosh Naderi Nabi, Warren L. Lee

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsTranscytosisGPEREstrogenInternal medicineEndocrinologyEstrogen receptorEndotheliumChemistryBiologyReceptorMedicineEndocytosis

Abstract

fetched live from OpenAlex

Objectives: Premenopausal women have a significantly lower rate of atherosclerosis than men, an effect attributed to estrogen. The atheroprotective effects of estrogen are independent of circulating lipid levels and may be due to an effect on the vessel wall. Early on in atherosclerosis, circulating LDL is able to cross an intact endothelial monolayer by transcytosis and accumulate in the intima. Little is known about the mechanisms of transcytosis but using novel assays we recently discovered a role for the SR-BI and ALK1 receptors. We hypothesized that estrogen can attenuate LDL transcytosis by coronary artery endothelial cells. Approach and Results: Using a recently described assay based on total internal reflection fluorescence microscopy, we quantified transcytosis of LDL across human coronary artery endothelial cells treated with physiological concentrations of estrogen. Estrogen significantly attenuated LDL transcytosis by endothelial cells from male donors; the effect was ligand-specific as transcytosis of albumin was not affected. Estrogen caused down-regulation of endothelial SR-BI but not ALK1 and over-expression of SR-BI was sufficient to restore LDL transcytosis. Similarly, depletion of SR-BI by siRNA attenuated endothelial LDL transcytosis and prevented any further effect of estrogen. In contrast, treatment with estrogen had no effect on SR-BI expression by liver cells from a male donor. Inhibition of estrogen receptors α and β had no effect on estrogen-mediated attenuation of LDL transcytosis. However, estrogen’s effect was blocked by depletion of the G-protein coupled estrogen receptor (GPER) by siRNA. GPER was found to be enriched in endothelial cells compared to hepatocytes and is known to signal via transactivation of the epidermal growth factor receptor (EGFR); we observed that inhibition of EGFR also prevented the effect of estrogen on LDL transcytosis. Lastly, male mice demonstrated more vascular deposition of LDL than age-matched female mice after acute injection. Conclusions: Physiological concentrations of estrogen significantly inhibit LDL transcytosis by down-regulating endothelial SR-BI; this effect requires GPER. This may contribute to the lower rates of atherosclerosis in premenopausal women.

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 categoriesMeta-epidemiology (narrow)
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 score0.144
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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.

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
Published2018
Admission routes1
Has abstractyes

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