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Record W2000180099 · doi:10.1139/y02-033

B<sub>2</sub>receptor activation reduces Erk1 and Erk2 phosphorylation induced by insulin-like growth factor-1, platelet-derived growth factor-BB, and high glucose in rat isolated glomeruli

2002· article· en· W2000180099 on OpenAlexvenueno aff
Éric Cellier, Johan Duchêne, Christiane Pécher, Céline Alric, Jean‐Loup Bascands, Joost P. Schanstra, Jean‐Pierre Girolami

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2002
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsnot available
Fundersnot available
KeywordsEndocrinologyInternal medicineGrowth factorPhosphorylationPlatelet-derived growth factor receptorInsulin-like growth factorBiologyGrowth factor receptorKininGlomerulosclerosisMAPK/ERK pathwayReceptorChemistryKidneyBradykininCell biologyMedicine

Abstract

fetched live from OpenAlex

Several experimental data document an activation of the mitogen-activated protein kinases Erk1 and Erk2 by bradykinin (BK), an agonist of the kinin B2 receptor (B2R). In contrast, other reports showed an inhibitory modulation of mitogenesis by BK. Therefore, we explored in the isolated glomeruli the effect of B2R activation on the signaling of insulin-like growth factor-1 (IGF-1), platelet-derived growth factor-BB (PDGF-BB), and high glucose (HG), three factors that are believed to be involved in the development of glomerulosclerosis via the phosphorylation of Erk1 and Erk2. We observed that the activation of B2R negatively modulates the phosphorylation of Erk1 and Erk2 induced by IGF-1, PDGF-BB, and HG in the glomerulus. These effects are consistent with the hypothesis of a protective role for BK in the kidney during development of glomerulosclerosis and renal pathologies associated with a hyperproliferative state.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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

Citations5
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicCoagulation, Bradykinin, Polyphosphates, and AngioedemaFrench-language works237,207