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Record W2025620369 · doi:10.1080/10286020.2012.762910

Reversal effect of rosmarinic acid on multidrug resistance in SGC7901/Adr cell

2013· article· en· W2025620369 on OpenAlexaff
Farong Li, Yanyan Fu, Dan-Hong Jiang, Zhen Wu, Yang-Jing Zhou, Ling Guo, Zhongmin Dong, Zhezhi Wang

Bibliographic record

VenueJournal of Asian Natural Products Research · 2013
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsSaint Mary's University
FundersFundamental Research Funds for the Central UniversitiesCentral University Basic Research Fund of ChinaNatural Science Foundation of Shaanxi Province
KeywordsMultiple drug resistanceP-glycoproteinIntracellularFlow cytometryMTT assayRosmarinic acidReverse transcription polymerase chain reactionCell culturePharmacologyChemistryMolecular biologyBiologyCellGene expressionDrug resistanceBiochemistryGeneMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Multidrug resistance (MDR) has been a major problem in cancer chemotherapy. In this study, the aim was to explore the reversal effect and its potential mechanism of rosmarinic acid (RA) on SGC7901/Adr cells. 3-(4,5-Dimethylthiazol)-2,5-diphenyl tetrazolium bromide (MTT) assay was used to investigate the reversal index of RA in SGC7901/Adr cell line. The intracellular accumulation of adriamycin, rhodamine123 (Rh123), and the expression of P-glycoprotein (P-gp) were assayed by flow cytometry. The influence of RA on the transcription of MDR1 gene was determined by reverse transcription-polymerase chain reaction. The results showed that RA could reverse the MDR of SGC7901/Adr cells, increase the intracellular accumulation of Adr and Rh123, and decrease the transcription of MDR1 gene and the expression of P-gp in SGC7901/Adr cells. These results indicated that RA was a potential multidrug resistance-reversing agent and warranted further investigations.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.016
GPT teacher head0.316
Teacher spread0.300 · 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.

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

Citations27
Published2013
Admission routes1
Has abstractyes

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