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Record W2126629462 · doi:10.1677/jme.1.02052

Cyclosporin A inhibits apolipoprotein AI gene expression

2006· article· en· W2126629462 on OpenAlexafffund
Xi‐Long Zheng, Norman C.W. Wong

Bibliographic record

VenueJournal of Molecular Endocrinology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsCalcineurinApolipoprotein BGene expressionTransfectionCalcium in biologyChemistryReporter geneHyperlipidemiaMolecular biologyIntracellularEndocrinologyBiologyGeneInternal medicineCholesterolBiochemistryMedicineTransplantation

Abstract

fetched live from OpenAlex

Cyclosporin A (CsA), a calcineurin inhibitor, has been widely used as an immunosuppressant, and is known to induce hyperlipidemia and dyslipoproteinemia with low levels of high-density lipoprotein (HDL). Since apolipoprotein AI (apo AI) is a major protein component of HDL particles and reduction of apo AI results in low levels of HDL, we hypothesized that CsA inhibits apo AI gene expression contributing to its lipid effects. Therefore, we first measured the serum apo AI protein levels in rats with or without CsA treatment, and found that both serum apo AI protein and liver apo AI mRNA levels were significantly reduced in response to CsA treatment. In stably transfected Hep G2 cells harboring an apo AI-474-CAT reporter gene, we found that intracellular calcium mobilization by A23187 a calcium ionophore stimulated apo AI gene expression and the calcineurin inhibitors, CsA and FK605, selectively inhibited this stimulation. Therefore, we conclude that activation of the calcineurin pathway by intracellular calcium mobilization stimulates apo AI gene expression and calcineurin inhibition by CsA results in reduced apo AI gene expression.

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 score0.013
Threshold uncertainty score0.804

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 head0.006
GPT teacher head0.239
Teacher spread0.234 · 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

Citations9
Published2006
Admission routes2
Has abstractyes

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