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Record W2098313990 · doi:10.1093/gerona/60.3.275

A Complex Dietary Supplement Extends Longevity of Mice

2005· article· en· W2098313990 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journals of Gerontology Series A · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLongevityGenetically modified mouseInternal medicineEndocrinologyBiologyAccelerated agingTransgenePhysiologyMedicineGerontologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

Key factors implicated in aging include reactive oxygen species, inflammatory processes, insulin resistance, and mitochondrial dysfunction. All are exaggerated in transgenic growth hormone mice (TGM), which display a syndrome resembling accelerated aging. We formulated a complex dietary supplement containing 31 ingredients known to ameliorate all of the above features. We previously showed that this supplement completely abolished the severe age-related cognitive decline expressed by untreated TGM. Here we report that longevity of both TGM and normal mice is extended by this supplement. Treated TGM showed a 28% increase (p < .00008) in mean longevity. An 11% increase in mean longevity was also significant (p < .002093) for treated normal mice, compared to untreated normal mice. These data support the hypothesis that TGM are a model of accelerated aging, and demonstrate that complex dietary supplements may be effective in ameliorating aging or age-related pathologies where simpler formulations have generally failed.

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.

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 score0.284
Threshold uncertainty score0.286

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 head0.058
GPT teacher head0.327
Teacher spread0.268 · 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