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Record W2028423221 · doi:10.1080/10284150500069470

Dietary approach to decrease aging-related CNS inflammation

2005· article· en· W2028423221 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNutritional Neuroscience · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsUniversity of Saskatchewan
FundersMinistry of Agriculture - Saskatchewan
KeywordsSulforaphaneAstrogliosisGlucoraphaninInflammationEndocrinologyInternal medicineNitric oxideMicrogliaIsothiocyanatePremature agingMedicineChemistryBiologyCentral nervous systemBiochemistryPhysiologyGlucosinolate

Abstract

fetched live from OpenAlex

We demonstrate that the spontaneously hypertensive rat stroke-prone rat (SHRsp) undergoes premature aging of the CNS compared to the related normotensive Wistar Kyoto rat (WKY) as demonstrated by presence of activated microglia/macrophages, increased expression of inducible nitric oxide synthase and increased astrogliosis. We tested the hypothesis that dietary intake of phase 2 protein inducers would decrease these aging-associated degenerative changes. The source of dietary phase 2 protein inducers was dried broccoli sprouts of a cultivar containing high amounts of glucoraphanin that gives rise to phase 2 protein-inducing isothiocyanate sulforaphane. This diet significantly decreased the aging-related degenerative changes in the SHRsp CNS. We conclude that modest changes in diet may have profound effects on the aging CNS.

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 score0.080
Threshold uncertainty score0.498

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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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