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Record W4244918890 · doi:10.1177/229255030401200102

Dimethyl Sulfoxide and Oxidative Stress On Cultures of Human Keratinocytes

2004· article· en· W4244918890 on OpenAlexvenueno aff
Ivone da Silva Duarte, Alfredo Gragnani, Lydia Masako Ferreira

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2004
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsnot available
Fundersnot available
KeywordsDimethyl sulfoxideOxidative stressOxidative phosphorylationCell cultureHypoxia (environmental)KeratinocyteAntioxidantLaboratory flaskChemistryBiochemistryPharmacologyIn vitroMedicineBiologyOxygenOrganic chemistry

Abstract

fetched live from OpenAlex

Objectives: The aim of the present study was to examine the protective action of the antioxidant dimethyl sulfoxide (DMSO) against the oxidative stress on keratinocyte cultures caused by glucose deprivation and hypoxia, using the concentration of malonyl dialdehyde existing in the cell culture as an indicator of the oxidative stress level. Methods: Eighty flasks with cultured human keratinocytes in a confluent layer were divided into eight groups, including the following: culture medium with and without glucose, culture medium with and without the addition of DMSO, culture medium subjected and not subjected to hypoxia, and culture medium with a combination of these factors. Results and Conclusions: The statistical analysis of the results showed that DMSO proved to be an effective agent against the oxidative stress on cultures of keratinocytes under the experimental conditions studied.

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)0.001
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
Metaresearch0.0010.000
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)0.0020.000

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 head0.265
Teacher spread0.241 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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