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Understanding the role of transforming growth factor-β1 in intimal thickening after vascular injury

2007· review· en· W2091931082 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

VenueCardiovascular Research · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsThickeningCardiologyMedicineTransforming growth factorInternal medicinePathologyChemistry

Abstract

fetched live from OpenAlex

Intimal thickening is the most important cause of in-stent restenosis. The pathology of intimal thickening is attributable to a local inflammatory response after vascular injury which results in the production of cytokines. Transforming growth factor-beta1 (TGF-beta1) is a profibrotic cytokine that is involved in the induction of intimal thickening. Up-regulation of TGF-beta1 after arterial injury results in the activation of various downstream pathways which stimulate the proliferation and migration of vascular smooth muscle cells, as well as the production of local extracellular matrix proteins. Recent evidence suggests that antagonizing TGF-beta1 activity with direct or indirect inhibitors may attenuate or prevent intimal thickening. Additionally, TGF-beta1 synthesis, activation and downstream regulation may also serve as significant sources of treatment. This review attempts to show the role of TGF-beta1 in the pathology of intimal thickening and underlines the importance of TGF-beta1 as a target for 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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.155
GPT teacher head0.386
Teacher spread0.231 · 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