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Record W2138538998 · doi:10.1017/s1461145701002231

Identification of mood stabilizer-regulated genes by differential-display PCR

2001· review· en· W2138538998 on OpenAlex
Junfeng Wang, Christopher D. Bown, Biao Chen, L. Trevor Young

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 International Journal of Neuropsychopharmacology · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMood stabilizerLithium (medication)Mechanism of actionBipolar disorderGeneSignal transductionGene expressionMood disordersMessenger RNAPharmacologyBiologyMedicineGeneticsEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

An increasing body of evidence demonstrates that lithium and valproate have a regulatory effect on signal transduction pathways. Alteration of signalling molecules triggers changes in gene expression which are thought to contribute to the therapeutic effects of these drugs on bipolar disorder. Differential-display PCR was used to identify genes in rat cerebral cortex that are regulated by chronic treatment with lithium and valproate. One novel lithium-regulated gene was identified and was characterized and studied further with 5'-RACE-PCR and library screening. We also found that valproate regulated the expression of the 78-kDa glucose-regulated protein (GRP78). Chronic treatment with valproate has also been found to increase gene transcription, mRNA and protein levels of GRP78. These results suggest novel targets for lithium and valproate that may be relevant to their mechanism of action. The data further our understanding of the mechanism of the action of mood stabilizers, and help identify new targets for genetic studies and therapeutic strategies in bipolar disorder.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.331
Teacher spread0.311 · 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