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Lipid Oxidation Products in Food and Atherogenesis

2009· review· en· W2051824097 on OpenAlexaff
Stan Kubow

Bibliographic record

VenueNutrition Reviews · 2009
Typereview
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsMcGill University
Fundersnot available
KeywordsLipid oxidationFood scienceChemistryMedicineBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

Lipid oxidation products are present in unknown amounts in the food supply of industrialized societies. Evidence for a putative role of some of these compounds in accelerating events in the atherogenic process--the initiation of endothelial injury, the accumulation of plaque, and the termination phase of thrombosis--comes from both animal and human studies. Although metabolic and epidemiological studies in humans and animals generally support the concept that a higher intake of polyunsaturates is beneficial to lipoprotein metabolism and cardiovascular health, some findings suggest that a diet high in polyunsaturated fatty acids that are insufficiently protected by antioxidants, such as vitamin E, may carry a higher risk of atherosclerosis. Although gross pathological effects of ingestion of lipid oxidation products are unlikely in the human feeding situation, more subtle metabolic actions of these compounds on vitamin E status, platelet activity, and lipoprotein metabolism cannot yet be discounted. The presence of reactive lipid oxidation components in foods needs more systematic research in terms of the metabolic effects of these compounds and their occurrence in the usual diet, as well as the associated antioxidant requirements.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.115
GPT teacher head0.360
Teacher spread0.246 · 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

Citations118
Published2009
Admission routes1
Has abstractyes

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