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Fibroblast growth factor 2 isoforms and cardiac hypertrophy

2004· review· en· W2092078490 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 · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsFibroblast growth factorIntracrineMuscle hypertrophyPressure overloadEndocrinologyInternal medicineGene isoformCell biologyBiologyContext (archaeology)FGF21Angiotensin IIDownregulation and upregulationMedicineCardiac hypertrophyParacrine signallingBiochemistryReceptor

Abstract

fetched live from OpenAlex

Fibroblast growth factor 2 (FGF-2), a multifunctional polypeptide that affects cell growth and differentiation and becomes upregulated by stress, is expressed as AUG-initiated 18 kDa FGF-2 or CUG-initiated 21-34 kDa (hi-FGF-2) isoforms. Animal models have provided strong evidence that FGF-2 is essential for the manifestation of overload- and angiotensin-induced cardiac hypertrophy. Nevertheless, studies to-date have not discriminated between the activities of 18 kDa FGF-2 and hi-FGF-2. Our recent work has pointed to a potent pro-hypertrophic effect of added hi-FGF-2, and a pro-apoptotic effect of sustained intracrine hi-FGF-2 signaling. In the future, it will be important to differentiate between the activities of the different FGF-2 isoforms in the context of adaptive and maladaptive myocardial hypertrophy and heart failure. Based on all available evidence, we propose that while the 18-kDa FGF-2 is a component of an adaptive trophic response, a switch to hi-FGF-2 accumulation would exacerbate hypertrophy and contribute to cell death, thus driving the myocardium towards a maladaptive phenotype.

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)0.002
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 score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.002
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 head0.072
GPT teacher head0.359
Teacher spread0.286 · 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