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Record W3138612398 · doi:10.1016/j.arr.2021.101324

Attenuation of 7-ketocholesterol- and 7β-hydroxycholesterol-induced oxiapoptophagy by nutrients, synthetic molecules and oils: Potential for the prevention of age-related diseases

2021· review· en· W3138612398 on OpenAlexfundno aff
Thomas Nury, Aline Yammine, Imen Ghzaiel, Khouloud Sassi, Amira Zarrouk, Fatiha Brahmi, Mohammad Samadi, Sandrine Rup‐Jacques, Dominique Vervandier‐Fasseur, Jean-Paul Paı̈s de Barros, Victoria Bergas, Sudipta Ghosh, Muhammed Majeed, Anurag Pande, Atanas G. Atanasov, S. Hammami, Mohamed Hammami, John J. Mackrill, Boubker Nasser, Pierre Andreoletti, Mustapha Cherkaoui‐Malki, Anne Véjux, Gérard Lizard

Bibliographic record

VenueAgeing Research Reviews · 2021
Typereview
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsnot available
FundersUniversité de Tunis El ManarUniversité LibanaiseFoundation for Science and TechnologyMinistère de l'Europe et des Affaires ÉtrangèresEuropean Cooperation in Science and TechnologyUniversité MonastirAgence Nationale de la RechercheUniversité de BéjaïaProvidence Health Care
KeywordsOxidative stressOxysterolAutophagyPeroxisomeProgrammed cell deathCholesterolPhospholipidosisBiologyMacular degenerationPharmacologyOxidative phosphorylationMitochondrionBiochemistryApoptosisMedicineReceptorPhospholipid

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.101
GPT teacher head0.418
Teacher spread0.317 · 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 designNot applicable
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

Citations78
Published2021
Admission routes1
Has abstractno

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Same venueAgeing Research ReviewsSame topicCholesterol and Lipid MetabolismFrench-language works237,207