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Record W2024192382 · doi:10.1159/000118115

Erythrocyte Lithium Transport in Bipolar Affective Disorders

2008· article· en· W2024192382 on OpenAlexaff
Eva S. Werstiuk, Michel P. Rathbone, Paul Grof

Bibliographic record

VenueNeuropsychobiology · 2008
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsHamilton Psychiatric HospitalMcMaster University
Fundersnot available
KeywordsEffluxPhloretinLithium (medication)ChemistryOuabainRed blood cellInternal medicineEndocrinologyBiochemistrySodiumMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

Erythrocyte lithium influx and efflux were investigated in vitro in patients with bipolar affective disorders and in age- and sex-matched healthy controls. To explore the components of lithium influx and efflux five selected inhibitors (ouabain, phloretin, p-chloromercury benzene sulfonate [PCMBS], 4,4'-diisothiocyano-2,2'-disulfonic acid stilbene, and lanthanium chloride) were employed. The mean values of lithium influx were similar in both populations of erythrocytes. The addition of ouabain and phloretin reduced lithium influx, but this effect was comparable in both patients and controls. PCMBS had an accelerating effect, and this was more pronounced in patients. Total erythrocyte lithium efflux from lithium-containing erythrocytes was comparable in both patients and controls. The addition of phloretin reduced RBC lithium efflux, the magnitude of this parameter, however, was similar in patients and controls. Erythrocyte lithium efflux was accelerated in the presence of PCMBS, and this effect was greater in patients. The relevance of these findings to the postulated cell membrane defect in affective disorders is evaluated.

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.663

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2008
Admission routes1
Has abstractyes

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