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Record W2044531623 · doi:10.1016/j.febslet.2011.01.040

Peroxisome proliferator-activated receptor γ regulates angiotensin II-induced catalase downregulation in adventitial fibroblasts of rats

2011· article· en· W2044531623 on OpenAlexaff
Weiwei Yang, Jia Zhang, Weili Shen, Pingjin Gao, Manpreet K. Singh, Ningyuan Fang

Bibliographic record

VenueFEBS Letters · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsWestern University
FundersNational Institutes of HealthNational Institutes of Natural SciencesNational Natural Science Foundation of China
KeywordsPeroxisome proliferator-activated receptorAngiotensin IIReceptorChemistrySmall interfering RNAPeroxisomeDownregulation and upregulationCatalasePeroxisome proliferator-activated receptor alphaOxidative stressTransfectionEndocrinologyCell biologyInternal medicineBiologyBiochemistryNuclear receptorTranscription factorGeneMedicine

Abstract

fetched live from OpenAlex

Peroxisome proliferator-activated receptor (PPAR) γ ligands oppose the effect induced by angiotensin II (Ang II) to reduce oxidative stress and improve antioxidant status. In this study, Ang II inhibited catalase (CAT) and peroxisome proliferator-activated receptor γ (PPAR γ) protein and mRNA expressions. Transfection with PPAR γ small-interfering RNA (siRNA) led to a reduction in CAT expression. PPAR γ ligands enhanced CAT expression and inhibited extracellular signal-regulated kinase 1/2 activation. We further reveal that Ang II type 1 receptor is not involved in the inhibitory effects of PPAR γ ligands on Ang II stimulatory events.

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 score0.005

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)0.0010.001

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 head0.015
GPT teacher head0.220
Teacher spread0.205 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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