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Record W1981738115 · doi:10.1076/apab.111.1.17.15140

Fructose Feeding in the Suckling-Weaning Transition in Rats: Effects on Hyperlipidemia in Adulthood

2003· article· en· W1981738115 on OpenAlexafffund
Rhonda C. Bell, Abha Hoedl, Joan Turchinsky

Bibliographic record

VenueArchives of Physiology and Biochemistry · 2003
Typearticle
Languageen
FieldMedicine
TopicDiet, Metabolism, and Disease
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInternal medicineEndocrinologyWeaningHypertriglyceridemiaWeanlingOffspringBiologyMedicineTriglycerideCholesterolPregnancy

Abstract

fetched live from OpenAlex

The sucking-weaning transition is characterized by high rates of growth and development and may be a sensitive period during which dietary intake could program metabolism to increase the risk of cardiovascular disease and diabetes in adulthood. Intake of a high fructose (FR) diet is known to induce hypertriglyceridemia and insulin resistance in rats when they are consuming this diet. We examined whether a FR diet fed early in life produces detrimental changes in lipid and glucose metabolism that persist to adulthood. Weanling rats were fed 65% FR (wt/wt), a purified control diet (CNTL) or standard chow (CHOW) for 5 weeks. Beyond 9 weeks of age, all rats were fed CHOW. During FR feeding, plasma triglycerides (TG) were significantly elevated in the FR group (FR = 217 +/- 20; CNTL = 163 +/- 17; chow = 156 +/- 10). At 21 wks of age, TG's were similar in rats fed FR or CNTL versus CHOW at weaning (p > 0.87). Hepatic fatty acid synthase (FAS) activity was elevated in FR and CNTL groups vs. CHOW (65 +/- 7, 72 +/- 6 vs. 48 +/- 4 nmol NADPH/mg protein/min, p < 0.01). There were no differences in indices of glucose homeostasis at 21 weeks of age. Early exposure to a diet high in simple sugars (FR or CNTL) and/or low in fiber during the suckling-weaning transition may contribute to modest dyslipidemia later in life. Together, changes observed in this study may increase the risk of cardiovascular disease in adulthood.

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 score0.418
Threshold uncertainty score0.319

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 spread0.233 · 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

Citations6
Published2003
Admission routes2
Has abstractyes

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