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Record W4376134528 · doi:10.1038/s44161-023-00266-2

Genetic or therapeutic neutralization of ALK1 reduces LDL transcytosis and atherosclerosis in mice

2023· article· en· W4376134528 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

VenueNature Cardiovascular Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersNational Heart, Lung, and Blood Institute
KeywordsTranscytosisPCSK9NeutralizationChemistryMedicineImmunologyInternal medicineLDL receptorCholesterolAntibodyLipoproteinReceptor

Abstract

fetched live from OpenAlex

Abstract Low-density lipoprotein (LDL) accumulation in the arterial wall contributes to atherosclerosis initiation and progression 1 . Activin A receptor-like type 1 (ACVRL1, called activin-like kinase receptor (ALK1)) is a recently identified receptor that mediates LDL entry and transcytosis in endothelial cells (ECs) 2,3 . However, the role of this pathway in vivo is not yet known. In the present study, we show that genetic deletion of ALK1 in arterial ECs of mice substantially limits LDL accumulation, macrophage infiltration and atherosclerosis without affecting cholesterol or triglyceride levels. Moreover, a selective monoclonal antibody binding ALK1 efficiently blocked LDL transcytosis, but not bone morphogenetic protein-9 (BMP9) signaling, dramatically reducing plaque formation in LDL receptor knockout mice fed a high-fat diet. Thus, our results demonstrate that blocking LDL transcytosis into the endothelium may be a promising therapeutic strategy that targets the initiating event of atherosclerotic cardiovascular disease.

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 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 score0.034
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.338
Teacher spread0.292 · 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