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Record W2123429732 · doi:10.1677/joe-09-0002

A low protein diet in early life delays the onset of diabetes in the non-obese diabetic mouse

2009· article· en· W2123429732 on OpenAlexafffund
Astrid Chamson-Reig, Edith Arany, Kelly L. Summers, David J. Hill

Bibliographic record

VenueJournal of Endocrinology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsWestern UniversitySt Joseph's Health CareLawson Health Research Institute
FundersCanadian Institutes of Health Research
KeywordsEndocrinologyInternal medicineNOD miceInsulitisIsletPancreasDiabetes mellitusNodOffspringInsulinMedicineWeaningBiologyPregnancy

Abstract

fetched live from OpenAlex

Dietary insult in early life can affect the development and future function of the endocrine pancreas. We maintained pregnant non-obese diabetic (NOD) mice on a low protein (LP, 8% protein versus control, 20%) diet from conception until the weaning of pups at day 21. Serum insulin and pancreatic insulin content were reduced in LP-fed NOD offspring at 8 weeks, as were serum interferon gamma and pancreatic tumor necrosis factor alpha, while the number of pancreatic islets demonstrating peri-insulitis, and the degree of invasiveness were reduced. To determine if LP caused early morphometric changes in the pancreas, we measured mean islet area at days 3 and 21. Mean islet size did not differ with diet, but by 8 weeks of age LP-fed NOD females exhibited a significantly reduced islet number and mean islet area, and a lower fractional area of pancreas occupied by both alpha- and beta-cells than control-fed mice. The onset of diabetes was delayed in NOD mice of both genders fed LP diet. The mechanism is likely to involve both altered beta-cell morphology and function and changes in cytotoxic cytokines.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.316

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 head0.224
Teacher spread0.219 · 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 designObservational
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

Citations23
Published2009
Admission routes2
Has abstractyes

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