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Record W2321319950 · doi:10.3109/1354750x.2016.1160289

Lovastatin corrects ERK pathway hyperactivation in fragile X syndrome: potential of platelet’s signaling cascades as new outcome measures in clinical trials

2016· article· en· W2321319950 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

VenueBiomarkers · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsLovastatinMAPK/ERK pathwayPhosphorylationProtein kinase BPI3K/AKT/mTOR pathwayHyperactivationMedicineClinical trialSignal transductionFragile X syndromeInternal medicinePharmacologyCancer researchBiologyCell biologyCholesterolPsychiatry

Abstract

fetched live from OpenAlex

AIM: To establish whether platelets from fragile X syndrome (FXS) individuals recapitulate FXS mouse neurons' defects in ERK and Akt pathways, and to evaluate the effect of lovastatin on these pathways. METHODS: ERK and Akt phosphorylation (pERK, pAkt) statuses were assessed with quantitative Western blotting before and after a 12-week lovastatin trial. RESULTS: Levels of pERK and pAkt were increased in FXS platelets, and lovastatin specifically normalized ERK activity. Changes in ERK phosphorylation were correlated with clinical response to lovastatin. CONCLUSIONS: Platelets' signaling pathways provide biomarkers that can be used as treatment outcome measures in FXS clinical trials.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.381
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.068
GPT teacher head0.343
Teacher spread0.276 · 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