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Record W1966284987 · doi:10.1159/000227429

Effect of Methotrexate, Doxorubicin and Mitoxantrone on Human Peritoneal Mesothelial Cell Function in vitro

2009· article· en· W1966284987 on OpenAlexaff
Janusz Witowski, Andrzej Bręborowicz, J Knapowski

Bibliographic record

VenueOncology · 2009
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMitoxantronePharmacologyDoxorubicinMethotrexateCytotoxicityChemistryOuabainIntracellularCisplatinIn vitroMedicineBiochemistryChemotherapyInternal medicineSodium

Abstract

fetched live from OpenAlex

Recent studies have demonstrated that intraperitoneal instillation of dialysis solutions and drug additives may adversely affect the function of peritoneal cell populations. Therefore the aim of the present investigation was to examine the short-term effects of antineoplastic agents on human peritoneal mesothelial cells (HPMC). We have assessed the integrity of HPMC membrane and mechanisms of intracellular potassium transport. There was no evidence of significant cytotoxicity (as measured by 86Rb release) during a 60-min exposure of HPMC to either methotrexate (10(-6)-10(-4) M), doxorubicin (10(-7)-10(-5) M) or mitoxantrone (10(-7)-10(-5) M). In HPMC exposed to doxorubicin (10(-6) M) the intracellular transport of potassium, as assessed with 86Rb as its analogue, was not affected. Methotrexate (10(-5) M) diminished Na,K-ATPase activity and simultaneously enhanced the 86Rb transport via furosemide-sensitive pathway. Mitoxantrone reduced the furosemide-sensitive 86Rb influx in a dose-dependent manner and at a concentration of 10(-4) M it also impaired the ouabain-dependent 86Rb influx. These data demonstrate that antineoplastic agents interfere with HPMC function which might contribute to the oncostatic-induced peritoneal toxicity.

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 score0.061
Threshold uncertainty score0.358

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 head0.009
GPT teacher head0.319
Teacher spread0.310 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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