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Record W2006240236 · doi:10.1271/bbb.90253

Clarification of the Role of Quercetin Hydroxyl Groups in Superoxide Generation and Cell Apoptosis by Chemical Modification

2009· article· en· W2006240236 on OpenAlexfundno aff
Kozue Sakao, Makoto Fujii, De‐Xing Hou

Bibliographic record

VenueBioscience Biotechnology and Biochemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsnot available
FundersKagoshima UniversityRyerson University
KeywordsSuperoxideApoptosisQuercetinChemistryDNA fragmentationHydroxyl radicalIntracellularTUNEL assayFragmentation (computing)BiochemistryProgrammed cell deathRadicalAntioxidantBiologyEnzyme

Abstract

fetched live from OpenAlex

Accumulated data have suggested that the hydroxyl groups of flavonoids are important for their bioactive function. To directly demonstrate the role of hydroxyl groups, we synthesized a derivative of quercetin, 3,7,3',4'-O-tetrabenzylquercetin (4Bn-Q) that substituted the hydroxyl groups of quercetin with benzyl groups, and then evaluated the ability to inhibit cell proliferation and cause apoptosis in human leukemia (HL-60) cells. The results reveal that quercetin, but not 4Bn-Q, inhibited cell proliferation and induced apoptosis as characterized by DNA fragmentation, activation of caspase-3, and PARP cleavage. Treatment with 4Bn-Q reduced the intracellular level of quercetin-induced superoxide, and the scavenger of superoxide, Mn (III) tetrakis (4-benzoic acid) porphyrin chloride (MnTBAP), reduced the superoxide level and apoptosis induced by quercetin. These findings directly demonstrate that the hydroxyl groups of quercetin contributed to the generation of intracellular superoxide, consequently inhibiting proliferation and inducing apoptosis in HL-60 cells.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.005
GPT teacher head0.194
Teacher spread0.188 · 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

Citations26
Published2009
Admission routes1
Has abstractyes

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