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Record W2136415871 · doi:10.1093/gerona/63.11.1131

Effects of Aging and Caloric Restriction on Bone Structure and Mechanical Properties

2008· article· en· W2136415871 on OpenAlexafffund
Z. W. Westerbeek, Russell T. Hepple, Ronald F. Zernicke

Bibliographic record

VenueThe Journals of Gerontology Series A · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsUniversity of CalgaryCoast Mountain College
FundersNatural Sciences and Engineering Research Council of CanadaDirectorate for Biological SciencesUniversity of Calgary
KeywordsCaloric theoryCalorie restrictionCalorieMedicineMicronutrientLean body massInternal medicineLow calorie dietBone massAnimal scienceEndocrinologyPhysiologyBody weightBiologyOsteoporosisWeight lossPathologyObesity

Abstract

fetched live from OpenAlex

This study examined the effects of caloric restriction on structural and material properties of tibiae and sixth lumbar vertebrae in F344BN male rats. Rats were divided into two dietary groups, ad libitum or calorie restricted. Caloric restriction commenced at 14 weeks of age, with 40% restriction and micronutrient supplementation by 16 weeks maintained until death. Rats were studied at 100% (8 months), 70% (30-35 months), and 35% (35-40 months) survival rates. Specimens were assessed using microcomputed tomography, mechanical testing, and ash analysis. A calorically restricted diet resulted in a significant decrease in total body mass when compared to ad libitum diet. Generally, direct comparisons between same-aged groups showed no significant changes in material properties, with significantly greater normalized-to-body-mass structural properties under caloric restriction. These results suggested a possible beneficial response to the calorically restricted diet where bone quality was maintained with bone quantity improved per unit body mass.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.021
GPT teacher head0.237
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueThe Journals of Gerontology Series ASame topicGenetics, Aging, and Longevity in Model OrganismsFrench-language works237,207