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Record W1966335547 · doi:10.1042/bj20041433

Dilating the degradome: matrix metalloproteinase 2 (MMP-2) cuts to the heart of the matter

2004· review· en· W1966335547 on OpenAlexaff
Christopher M. Overall

Bibliographic record

VenueBiochemical Journal · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMatrix metalloproteinaseProteasesAdrenomedullinExtracellular matrixVasodilationFibrosisMetalloproteinaseAgonistChemistryPharmacologyIn vivoReceptorCell biologyBiochemistryMedicineBiologyInternal medicineEnzyme

Abstract

fetched live from OpenAlex

With recent work revealing that MMPs (matrix metalloproteinases) cleave an increasingly large degradome of bioactive and signalling molecules, the dogma that MMPs are extracellular-matrix-remodelling proteases is under challenge. In this issue of the Biochemical Journal, Martínez et al. have reported that AM (adrenomedullin), a potent vasodilator predominantly expressed by blood vessel endothelial and smooth muscle cells, and microvasculature-rich tissues, is another new bioactive substrate for MMPs in vivo. Cleavage by MMP-2, but not MMP-9, generates a series of peptides; two of which retain receptor agonist and vasodilator activity, three are inactive and, excitingly, AM(11-22), a small product containing a canonical disulphide loop, is a vasoconstrictor. In view of the robust vasodilatory and other cardiac protective activities of AM in inhibiting myocardial fibrosis this represents a potent new systemic role for MMP-2 in the cardiovasculature. Hence, the paper by Martínez et al. directly implicates MMP activity in the development of hypertension and paradoxically in stimulating myocardial fibrosis, therefore pointing to exciting new possibilities for utilizing MMP-2-specific inhibitors as a new mode to treat blood pressure and heart 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.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.670
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.303
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

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
GenreReview

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

Citations45
Published2004
Admission routes1
Has abstractyes

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