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Record W1900830672 · doi:10.1139/cjc-2015-0395

Modulation of the metabolism of <i>cis</i>-platin in blood plasma by glutathione

2015· article· en· W1900830672 on OpenAlexafffundvenue
Melani Sooriyaarachchi, Matthew Gibson, Bruno dos S. Lima, Jürgen Gailer

Bibliographic record

VenueCanadian Journal of Chemistry · 2015
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaMitacsUnited States Pharmacopeia
KeywordsGlutathioneChemistryMetabolismIn vitroBlood plasmaNephrotoxicityNeurotoxicityPharmacologyToxicityBiochemistryEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

The anticancer drug cis-platin (CP) is in worldwide clinical use to treat a variety of cancers, but is inherently associated with severe toxic side effects. Previous animal studies revealed that its neurotoxicity can be significantly reduced by the coadministration of l-glutathione (GSH) without affecting the anticancer effect. The underlying molecular mechanism, however, has remained elusive. Since the bloodstream is a likely biological compartment where CP-derived hydrolysis products may react with GSH, we have employed a recently developed metallomics tool to gain insight into the interaction of CP and GSH in rabbit plasma in vitro. After the addition of increasing GSH/CP molar ratios to plasma (25:1, 50:1, and 100:1), the determination of the Pt distribution 5 min and 2 h later revealed the formation of a Pt–GSH complex that did not bind to plasma proteins. The simultaneously obtained Zn distribution in plasma revealed a progressively more pronounced perturbation of the Zn metalloproteome with increasing GSH/CP molar ratios at the 5 min time point, which partially reversed at the 2 h time point. The formation of Pt–GSH species in plasma is therefore likely to be directly involved in the process by which GSH protects mammalian organisms from CP-induced neurotoxicity, nephrotoxicity, and possibly other organ-based toxicities.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.187

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 science0.0000.000
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 head0.027
GPT teacher head0.214
Teacher spread0.187 · 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

Citations8
Published2015
Admission routes3
Has abstractyes

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