MétaCan
Menu
Back to cohort
Record W2078163450 · doi:10.1016/j.mito.2014.07.004

Inhibition of stress induced premature senescence in presenilin-1 mutated cells with water soluble Coenzyme Q10

2014· article· en· W2078163450 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

VenueMitochondrion · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCoenzyme Q10 studies and effects
Canadian institutionsInstitute for Biological SciencesUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCoenzyme Q10AutophagyReactive oxygen speciesOxidative stressSenescencePresenilinPopulationMitochondrionBiologyIdebenoneChemistryCell biologyBiochemistryApoptosisAlzheimer's diseaseMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

A water-soluble formulation of CoQ10 (WS-CoQ10) was shown to stabilize mitochondria and prevent oxidative stress-induced neuronal death. Presenilin-1 (PS-1)-mutated Alzheimer's Disease (AD) fibroblasts (PSAF) were used for studying the effects of PS-1 mutation. PS-1 mutation correlated to increased reactive oxygen species (ROS) production and stress induced premature senescence (SIPS) in PSAF; WS-CoQ10 treatment decreased ROS generation, increased population doublings, and postponed SIPS. Treated PSAF had higher PCNA expression, and lower levels of MnSOD, p21, p16Ink4A, and Rb. WS-CoQ10 caused the resumption of autophagy in PSAF. Thus, WS-CoQ10 as inhibitor of SIPS and ameliorator of autophagy could be an effective prophylactic/therapeutic agent for AD.

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 score0.004
Threshold uncertainty score0.488

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 head0.005
GPT teacher head0.207
Teacher spread0.202 · 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