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Modulation of the human paraoxonase gene family members by various effectors in Caco‐2 cells

2008· article· en· W2263015464 on OpenAlexaffabout
Louis‐Philippe Précourt, Edgard Delvin, Devendra Amre, Daniel Sinnett, Ernest G. Seidman, Émile Lévy

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicParaoxonase enzyme and polymorphisms
Canadian institutionsMcGill University Health CentreCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsParaoxonasePON1GeneAntioxidantBiologyGene expressionOxidative stressChemistryBiochemistryMolecular biologyCell biology

Abstract

fetched live from OpenAlex

The human paraoxonase (PON) gene family is composed of three members (PON1, PON2, PON3) aligned next to each other on chromosome 7. They are highly conserved in mammals, display similarities in their structural properties (~65% identity atthe amino acid level) and seem to play an important part in oxidative stress. Recently, PONs have been detected in the gastrointestinal tract, but their physiological roles and regulation remain obscure. Our objective was to examine the modulation of PON1, PON2 and PON3 in the Caco‐2 cell line. Fe 2+ ‐ascorbate‐mediated lipid peroxidation promoted MDA formation without affecting sucrase activity, transepithelial resistance, DNA and protein content, as well as cell viability. The addition of the oxygen radical‐generating system reduced the gene expression of PON1, PON2 and PON3. Pre‐incubation with the antioxidant BHT or Trolox restrained the production of MDA and the inhibitory effect on PON mRNA levels. Similarly, the administration of CAPE, an inhibitor of NF‐kB activity, reversed the negative influence of inflammatory agents, including LPS, TNF‐α and INF‐γ. Rosiglitazone and DHA enhanced the gene expression of PON1 and PON3 without any influence on PON2 mRNA levels. Our data indicate that various effectors may impact on the gene expression of PON1, PON2 and PON3, sometimes with a distinct modulation. Supported by Crohn's and Colitis Foundation of Canada.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 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

Citations0
Published2008
Admission routes2
Has abstractyes

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