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Record W2128627085 · doi:10.1002/mrm.21741

Novel solubility‐switchable MRI agent allows the noninvasive detection of matrix metalloproteinase‐2 activity in vivo in a mouse model

2008· article· en· W2128627085 on OpenAlexaff
Réjean Lebel, Beata Jastrzębska, Hélène Therriault, Marie‐Michèle Cournoyer, J. Oliver McIntyre, Emanuel Escher, Witold Neugebauer, Benoît Paquette, Martin Lepage

Bibliographic record

VenueMagnetic Resonance in Medicine · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIn vivoMatrix metalloproteinaseCleavage (geology)In vitroChemistryPeptideGene knockdownBiophysicsCell biologyBiologyBiochemistryGeneticsApoptosis

Abstract

fetched live from OpenAlex

A novel MRI proteinase-modulated contrast agent (PCA) was developed to detect the activity of the proinvasive enzyme matrix metalloproteinase-2 (MMP-2) in vivo. The PCA2-switch agent incorporates a solubility switch, where cleavage of a peptide substrate by MMP-2 decreases the water solubility of the agent. Evidence suggests that this leads to an accumulation of cleaved PCA2-switch in an MMP-2-positive, wild-type, MC7-L1 mammary carcinoma tumor in a Balb/c mouse model compared to a MC7-L1 MMP-2-knockdown tumor. When a scrambled peptide sequence is inserted into the agent (PCA2-scrambled), the in vitro cleavage efficiency of MMP-2 is markedly reduced. In vivo, PCA2-scrambled does not accumulate in the wild-type tumor and the pharmacokinetics is similar in both tumors. In conclusion, in vivo cleavage of PCA2-switch by MMP-2 results in a significant accumulation of the cleaved PCA2-switch in an MMP-2-positive tumor.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.249
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations50
Published2008
Admission routes1
Has abstractyes

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