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Record W2090002636 · doi:10.1159/000243224

Development of Cholesterol Metabolism: The Effect of Diet Composition at Weaning

2009· article· en· W2090002636 on OpenAlexaff
Peter Hahn, L. Srubiski

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWeaningEndocrinologyInternal medicineSterol O-acyltransferaseCholesterolBiologyMetabolismMedicineLipoprotein

Abstract

fetched live from OpenAlex

Wistar rats were weaned on day 18 to a high fat (HF), high carbohydrate (HG) or high cholesterol (HCO 2%) diet. The activities of 3-hydroxy-3-methylglutaryl-CoA-reductase (HMGR), 7 alpha-hydroxylase (7-OHase) and acyl-CoA-cholesterol-acyltransferase (ACAT) were assayed in the liver and small intestinal mucosa on days 21, 25 and 30 and in adult animals. An HF diet raises hepatic ACAT and HMGR activities in young rats but has the opposite effect in the gut. The cholesterol diet also raises hepatic ACAT activity, but less so than the HF diet. In the gut, however, the HCO diet invokes the greatest rise in ACAT of all the diets tested. Except in adult rats, the HG diet always raises hepatic ACAT activity more than the HCO diet or the Purina Chow. In the gut, however, activity is very low for the HG diet, much lower than for the HCO diet. Early feeding of the HCO diet for 12 days (from day 18 to 30) and refeeding the same diet from day 48 to 50 resulted in a subsequent response to the HCO diet. It is concluded that early weaning results in changes in enzyme activities that depend on the composition of the diet fed at weaning and that this may also effect the later response to the same and perhaps other diets.

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 score0.456
Threshold uncertainty score0.232

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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
Published2009
Admission routes1
Has abstractyes

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