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Record W2149412733 · doi:10.5625/lar.2011.27.3.219

Inorganic lead (Pb)- and mercury (Hg)-induced neuronal cell death involves cytoskeletal reorganization

2011· article· en· W2149412733 on OpenAlexaff
Woo‐Sung Choi, Sujin Kim, Jin Seok Kim

Bibliographic record

VenueLaboratory Animal Research · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversity of British Columbia
FundersKonkuk University
KeywordsMercury (programming language)CytoskeletonEmbryoCytotoxicityChemistryCell biologyToxicityBiologyCellBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Inorganic lead and mercury are widely spread xenobiotic neurotoxicants threatening public health. The exposure to inorganic lead and mercury results in adverse effects of poisoning including IQ deficit and peripheral neuropathy. Additionally, inorganic neurotoxicants have even more serious impact on earlier stages of embryonic development. This study was therefore initiated in order to determine the cytotoxic effects of lead and mercury in earlier developmental stages of chick embryo. Administration of inorganic lead and mercury into the chick embryo resulted in the prolonged accumulation of inorganics in the neonatal brain, with detrimental cytotoxicity on neuronal cells. Subsequent studies demonstrated that exposure of chick embryo to inorganic lead and mercury resulted in the reorganization of cytoskeletal proteins in the neonatal brain. These results therefore suggest that inorganics-mediated cytoskeletal reorganization of the structural proteins, resulting in neurocytotoxicity, is one of the underlying mechanisms by which inorganics transfer deleterious effects on central nervous system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.094
GPT teacher head0.320
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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