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Record W2017931534 · doi:10.1097/fjc.0b013e318062153b

PPAR Activation: A New Target for the Treatment of Hypertension

2007· review· en· W2017931534 on OpenAlexaff
Eyal Leibovitz, Ernesto L. Schiffrin

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsMcGill UniversityJewish General HospitalCanadian Institutes of Health Research
Fundersnot available
KeywordsMedicinePathologicalPeroxisome proliferator-activated receptorReceptorPathophysiologyActivator (genetics)Pathophysiology of hypertensionInternal medicineBioinformaticsEndocrinologyPharmacologyBlood pressureBiology

Abstract

fetched live from OpenAlex

Hypertensive patients are at increased risk for cardiovascular complications. Inhibition of different pathophysiological mechanisms involved in hypertension and hypertension-related target organ damage may revert or prevent the progression of the pathological changes observed and reduce the occurrence of cardiovascular events. One of the new targets that may prevent or regress hypertensive vascular, renal, and perhaps brain changes in hypertension is the activation of nuclear receptors that have metabolic effects but also exert antiinflammatory action, the peroxisome proliferator activator receptor (PPAR) activators alpha and gamma. This review will discuss some of the evidence, both experimental and clinical, that suggests that activation of PPAR alpha and/or gamma in hypertension may exert beneficial cardiovascular protective effects.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.084
GPT teacher head0.355
Teacher spread0.270 · 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 designOther design
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

Citations24
Published2007
Admission routes1
Has abstractyes

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