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Record W1967315960 · doi:10.1080/14786419.2014.951354

Egyptian herbal tea infusions' antioxidants and their antiproliferative and cytotoxic activities against cancer cells

2014· article· en· W1967315960 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural Product Research · 2014
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRosmarinic acidCarnosic acidHeLaLamiaceaeAntioxidantTraditional medicineCytotoxicityOfficinalisChemistryCytotoxic T cellOriganumRosmarinusCancer cellBiologyBiochemistryFood scienceEssential oilCancerIn vitroMedicine

Abstract

fetched live from OpenAlex

The antioxidant, antiproliferative and cytotoxic activities against different human cancer cells were investigated in local and recently introduced plants of Mentha sp., Rosmarinus officinalis L. (ROL) and Origanum majorana L. (OML). ROL exhibited the highest antioxidant activities (IC50 8.4 ± 0.2 μg/mL) followed by OML and mint species such as Mentha suaveolens 'apple mint' and Mentha longifolia L. exhibiting moderate antioxidant activities. HPLC analysis of leaf extract revealed that rosmarinic acid is the main component followed by caffeic acid. Herbal leaf extracts varied in their proliferation inhibition and cytotoxicity against HeLa, MCF-7 and Jurkat cancer cells in a dose-dependent matter. The highest antiproliferative inhibition and cytotoxic activity were detected in ROL and OML followed by mint. Local herbs might have a potential role as anticancer natural medicines in addition to their high antioxidant activities due to the presence of different phenolics in their aqueous tea extracts.

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.

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)0.001
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 score0.034
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.340
Teacher spread0.311 · 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