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Record W2921364717 · doi:10.2741/4764

Effect of BMP-9 on endothelial cells and its role in atherosclerosis

2019· review· en· W2921364717 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in bioscience · 2019
Typereview
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsExtracellular matrixCell biologyFibronectinChemistryEndotheliumBasement membraneMechanotransductionEndothelial dysfunctionArteriosclerosisInternal medicineEndocrinologyMedicineBiology

Abstract

fetched live from OpenAlex

Atherosclerosis is an inflammatory disease involving dysfunction of endothelial cells (EC) and enhanced permeability of the endothelium to oxidized low-density lipoprotein and the transmigration of monocytes from the blood to the intima where they are transformed into foam cells after lipid engulfment. Changes in the composition of the basement membrane leading to increased fibronectin deposition also occur and modify EC-extracellular matrix (ECM) mechanotransduction. The release of lipids due to foam cell apoptosis, as well as the migration of vascular smooth muscle cells from the media to the intima and their proliferation, increase the stiffness of arteries at later stages of atherosclerosis. EC dysfunction also involves other factors, including soluble cytokines and growth factors (GF) such as bone morphogenetic proteins (BMP). BMP-9 is a potent circulatory GF which has been shown to affect EC behavior. However, to date, few studies have investigated its role in atherosclerosis. The present review describes the histology and homeostasis of arteries by explaining EC function/dysfunction and discusses BMP-9 effect on EC behavior, considering factors engaged in the development of atherosclerosis.

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.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.265
Teacher spread0.250 · 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