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Record W2103763431 · doi:10.1080/00207450290026166

XY99-5038 PROMOTES LONG-TERM SURVIVAL OF CULTURED RETINAL NEURONS

2002· article· en· W2103763431 on OpenAlexaff
Xin Yan, Yuhay T. Fong, Delia Wolf, Hua Shen, Marian Zaharia, Jun Wang, Gerald Wolf, Feng Li, Garrick D. Lee, Wei Cao

Bibliographic record

VenueInternational Journal of Neuroscience · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCell survivalBasic fibroblast growth factorApoptosisTUNEL assayCell cultureRetinalViability assayNeurotrophic factorsProgrammed cell deathBiologyInternal medicineMedicineGrowth factorEndocrinologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

We have previously reported that XY99-5038, a preparation from a specific formula of Traditional Chinese Medicine, could effectively inhibit hydrogen peroxide-induced retinal cell death. In the present study, we investigated the possibility of XY99-5038 to prolong neuronal survival in a long-term retinal neuronal culture. Basic fibroblast survival factor (bFGF), a potent neurotrophic factor, was employed as comparable agent. Retinas of 0-2 days old Sprague-Dawley rats were isolated and dissociated. The cells were maintained in tissue culture for up to 9 weeks in a synthetic serum-free media. XY99-5038 (100 ng/ml) or a vehicle was added to culture every 3-4 days, starting at the first week of culturing. The number of cells were counted and compared for each time point and treatment. Cell viability was also determined by MTT assay, whereas apoptotic cell death was evaluated by the TUNEL assay. XY99-5038 treatment significantly reduced cell loss, increased cell viability, and inhibited apoptosis in this long-term retinal neuronal culture. Our data also show that the protective effect of XY99-5038 is more potent than that of bFGF. Our data suggest that XY99-5038 could be beneficial to the prolongation of neuron survival.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.306

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 science0.0010.000
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 head0.024
GPT teacher head0.284
Teacher spread0.259 · 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 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

Citations10
Published2002
Admission routes1
Has abstractyes

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