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Record W2049362902 · doi:10.1021/cn5001149

Lithium, Inositol and Mitochondria

2014· article· en· W2049362902 on OpenAlex
Lilah Toker, Galila Agam

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

VenueACS Chemical Neuroscience · 2014
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMitochondrionAutophagyBipolar disorderBiologyNeuroscienceManiaLithium (medication)Cell biologyGeneticsEndocrinologyApoptosis

Abstract

fetched live from OpenAlex

Our recent DNA-microarray and proteomics studies searching for pathways affected both by chronic lithium treatment and by knockout of each of two genes (IMPA1 or Slc5a3) encoding for proteins related to inositol metabolism, indicated up-regulation of mitochondria-related genes and autophagy-related proteins in the frontal cortex. Differently from previously reported observations of aberrant mitochondrial function in bipolar patients which leave a causality relationship between mitochondrial dysfunction and bipolar disorder an open question, the behavioral results of our recent report following rotenone treatment tempt us to speculate that mitochondrial dysfunction predisposes manic behavior and that drugs targeted to ameliorate mitochondrial function are potential preventers of bursting manic episodes. However, the promiscuity of the involvement of mitochondrial dysfunction and impaired autophagy in the pathophysiology of psychiatric and neurodegenerative disorders raises questions regarding the credibility and relevance of these findings.

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 score0.190
Threshold uncertainty score0.247

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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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