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Abstract 11607: Novel Assay for Detection of LDL Transcytosis Across Coronary Endothelium Reveals an Unexpected Role for SR-B1

2014· article· en· W1492457074 on OpenAlexaff
Susan Armstrong, Michael G. Sugiyama, Andrew Levy, Dante Neculai, Mark Roufaiel, Steffen‐Sebastian Bolz, Myron I. Cybulsky, Bryan Heit, Warren L. Lee

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsWestern UniversityHospital for Sick ChildrenToronto General HospitalSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsTranscytosisEndotheliumMedicineCell biologyIntracellularInternal medicineBiologyEndocytosisReceptor

Abstract

fetched live from OpenAlex

Introduction: Retention of LDL beneath the arterial endothelium initiates an inflammatory response culminating in atherosclerosis. How LDL crosses the endothelium to enter the arterial wall remains unknown. While LDL could conceivably pass between endothelial cells (paracellularly) or through them (transcytosis), electron microscopy studies in animals revealed LDL in intracellular vesicles and none at intercellular junctions. This, combined with the absence of endothelial injury or intercellular gaps in early atherosclerosis, suggests that transcytosis is the major route. However, technical challenges with studying transcytosis have made confirming and extending these findings difficult. We developed and validated a novel assay for measuring the transcytosis of native LDL across live human coronary artery endothelium in vitro. Using this assay, we propose to elucidate the regulation of LDL transcytosis and have identified a novel role for SR-B1. Methods and Results: Experiments were performed using primary human coronary artery endothelial monolayers. Transcytosis was quantified in single live cells in real time using total internal reflectance fluorescence microscopy. Transcytosis of LDL was saturable and inhibited by excess unlabeled LDL. By fluorescence microscopy we found that DiI-LDL colocalized significantly with scavenger receptor, class B, type 1 (SR-B1). Unexpectedly, overexpression of SR-BI resulted in increased LDL transcytosis, while knockdown of SR-BI by siRNA inhibited transcytosis. Excess HDL, the canonical SR-B1 ligand, also decreased LDL transcytosis. To confirm the occurrence of transcytosis in an intact vessel, we perfused murine aortas ex vivo with both LDL and dextran of a smaller molecular radius. We observed the accumulation of subendothelial LDL without dextran, indicating that transcytosis of LDL occurs in intact vessels. Conclusions: The accumulation of LDL in the subendothelial intima is the first step of atherosclerosis yet little is known about how it occurs. Our data suggests that transcytosis of LDL is an important contributor, particularly in the early stages of the disease. By identifying the mechanisms of transcytosis, our work could have important implications for its pathogenesis and therapy.

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 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 score0.281
Threshold uncertainty score0.546

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 studies0.0000.000
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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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.

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
Published2014
Admission routes1
Has abstractyes

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