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Record W2085777661 · doi:10.1051/jp4:20030490

Contribution of Ca<sup>2+</sup>ions influx in Cu (II) or Cr (VI) induced hepatocyte cytotoxicity

2003· article· en· W2085777661 on OpenAlexaff
Jalal Pourahmad, Peter J. O’Brien

Bibliographic record

VenueJournal de Physique IV (Proceedings) · 2003
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHepatocyteCytotoxicityChemistryEGTAIntracellularNuclear chemistryLysisBiochemistryCalciumIn vitro

Abstract

fetched live from OpenAlex

Previously we showed that hepatocyte lysis induced by Cu (II) or Cr (VI) could be partly attributed to membrane lipid peroxidation induced by Cu (II) or Cr (VI) [1,2]. Changes in Na + and Ca +2 homeostasis induced when Cu +2 or Cr VI were incubated with hepatocytes. Na + omission from the media or addition of the Na + / H + exchange inhibitor 5-(N,N-dimethyl)-amiloride markedly increased Cu (II) or Cr (VI) cytotoxicity even though Cu (II) or Cr (VI) did not increase hepatocyte Na + when the media contained Na + . The omission of Cl - from the media or addition of glycine, a Cl - channel blocker also enhanced Cu (II) or Cr (VI) induced cytotoxicity. Intracellular Ca +2 levels however were markedly increased when the hepatocytes were incubated with Cu +2 or Cr VI in a Na + free media and removing media Ca +2 with EGTA also prevented Cu (II) or Cr (VI) induced hepatocyte cytotoxicity. This suggests that intracellular Ca +2 accumulation contributes to Cu (II) or Cr (VI) induced cytotoxicity and a Na + -dependent Ca +2 transporter is involved in controlling excessive Ca +2 accumulation caused by Cu (II) or Cr (VI).

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.027
GPT teacher head0.312
Teacher spread0.285 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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