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Record W1985091168 · doi:10.1002/syn.20458

Subacute H<sub>2</sub>O<sub>2</sub>, but not poly(IC), upregulates dopamine D2 receptors in retinoic acid differentiated SH‐SY5Y neuroblastoma

2007· article· en· W1985091168 on OpenAlexaff
Annie Larouche, Patrick Bérubé, Philippe Sarret, Sylvain Grignon

Bibliographic record

VenueSynapse · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversité de Sherbrooke
FundersNovartis Pharma
KeywordsDopaminergicDopamineDopamine receptor D2StriatumEndocrinologyInternal medicineSH-SY5YNeurotransmissionReceptorChemistryDopamine receptorRetinoic acidNeuroscienceNeuroblastomaBiologyMedicineBiochemistryCell culture

Abstract

fetched live from OpenAlex

Abnormalities of striatal dopaminergic neurotransmission play a significant role in the pathophysiology of central nervous system disorders such as movement disorders, addictions and schizophrenia. The striatum appears to be exposed to intrinsically high levels of oxidative stress (OS). Little is known, however, on the effect of OS on the regulation of the dopamine D2 receptor (DRD2), a key component of striatal dopaminergic neurotransmission. We report here on the effects of H2O2 (a canonical oxidant and non conventional messenger) and polyinosinic-polycytidylic acid (poly(IC) which elicits schizophrenia-like behaviors in newborn rodents and disrupts dopaminergic system development), on DRD2 levels in retinoic acid differentiated SH-SY5Y neuroblastoma. H2O2 elicited a significant increase in DRD2 mRNA and protein levels. Conversely, poly(IC) did not regulate DRD2 levels, although SH-SY5Y cells were confirmed to express TLR3 receptors. Under our conditions, H2O2, but not poly(IC), increased NFkappaB activation (as assessed by p65 nuclear translocation), which paralleled their effects on DRD2 levels regulation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.023
GPT teacher head0.280
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations21
Published2007
Admission routes1
Has abstractyes

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