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Induction of GDNF mRNA expression by melatonin in rat C6 glioma cells

2002· article· en· W2016542032 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

VenueNeuroreport · 2002
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGlial cell line-derived neurotrophic factorMelatoninMessenger RNAGliomaBiologyNeuroscienceEndocrinologyInternal medicineCell biologyNeurotrophic factorsMedicineGeneGeneticsReceptor

Abstract

fetched live from OpenAlex

In order to determine the physiological effect of melatonin on glial cell line-derived neurotrophic factor (GDNF), which is reportedly up-regulated by high doses of this hormone, concentration-dependent studies were carried out in cultured cells. RT-PCR studies indicated that, in addition to GDNF, rat C6 glioma cells express both of the G protein-coupled melatonin receptor subtypes, MT1 and MT2. When C6 cells were treated with physiological (0.05-1 nM) or higher (10 and 100 nM) concentrations of melatonin for 24 h, a significant induction of relative GDNF mRNA levels (n = 4) was detected by semi-quantitative RT-PCR. These findings suggest that induction of GDNF is involved in physiological neuroprotection by melatonin. Given the potency of GDNF in maintaining nigrostriatal dopaminergic integrity, understanding the mechanisms of its induction by melatonin could provide novel therapies for Parkinson's disease.

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 score0.010
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.244
Teacher spread0.213 · 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