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Record W2792515114

Metabolism of retinol in adriamycin-induced cardiomyopathy

2000· article· en· W2792515114 on OpenAlexvenueno aff
Igor Danelisen

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2000
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsCardiomyopathyMetabolismChemistryInternal medicineBiochemistryMedicineHeart failure
DOInot available

Abstract

fetched live from OpenAlex

In this study, we have examined the metabolism of vitamin A (retinol) in adriamycin-induced cardiomyopathy in the rat model. Adriamycin was administered in 6 equal i.p. injections over a period of two weeks (cumulative dose 15 mg/kg). Three weeks after the treatment, retinol and 3H-radio labeled retinol were measured in heart, liver, kidney and plasma using HPLC method. In the storage organs, the liver and kidneys, stored amounts of vitamin A were assessed by measuring the levels of retinol palmitate. Activities of retinol mobilizing enzymes, bile salt-dependent retinol ester hydrolase (BSD-REH) and bile salt-independent retinol ester hydrolase (BSI-REH) were also examined in the liver. Levels of _-tocopherol, another known endogenous nonenzymatic antioxidant, were also examined using HPLC method. All of the results were compared with the matching controls. This study shows that retinol levels were strictly maintained in the heart and plasma, even in the severe failure stage. This may be due to the increased mobilization from the storage sites in the liver. Increased consumption in the heart was indicated by an increase in the radio-labeled retinol in this organ as well as in the plasma. The study shows that under condition the radio-labeled retinol in this organ as well as in the plasma. The study shows that under condition of increased myocardial oxidative stress, there is an increased consumption of antioxidant vitamin A. (Abstract shortened by UMI.)

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 score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.156
Teacher spread0.152 · 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
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicDrug-Induced Ocular ToxicityFrench-language works237,207