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Record W2424224417 · doi:10.1039/9781849730921-00102

Lipidomics and Metabolomics of Dietary Lipid Peroxidation

2010· book-chapter· en· W2424224417 on OpenAlexaff
A. Kuksis

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLipid peroxidationMetabolomicsBiochemistryNucleic acidLipidomicsChemistryEndogenyPolyunsaturated fatty acidFatty acidOxidative stressChromatography

Abstract

fetched live from OpenAlex

Dietary fats containing polyunsaturated fatty acids are readily peroxidized during isolation, storage and food preparation. The unsaturated acids serve also as substrates for endogenous peroxidation. Both exogenous and endogenous peroxidation proceed through free radical intermediates. The present review summarizes recent lipidomic and metabolomic evidence for the formation and absorption of bioactive dietary lipid oxidation products, and for the isolation and identification of their lipid, protein and nucleic acid adducts, which accumulate in tissues during chronic disease and ageing. The use of chromatographic and mass spectrometric methods to identify and quantify the entire spectrum of lipid oxidation products, along with the loss of substrate, has greatly advanced these investigations, which have now progressed from a hypothesis–driven approaches to a holistic and systematic collection of sound analytical evidence at large scale. The review identifies overloading with dietary polyunsaturates and exhaustion of endogenous antioxidants and other protective mechanisms as the main facilitators of the aldehyde attack on proteins and nucleic acids, which eventually contributes to cell death, disease and shortening of life span.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.006

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 head0.025
GPT teacher head0.256
Teacher spread0.231 · 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
GenreOther

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

Citations2
Published2010
Admission routes1
Has abstractyes

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