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Record W2407260968 · doi:10.1515/jcim-2015-0024

TNF-α modulation by natural bioactive molecules in mouse RAW 264.7 macrophage cells

2015· article· en· W2407260968 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Complementary and Integrative Medicine · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsUniversity of OttawaUniversity of Manitoba
Fundersnot available
KeywordsFetal bovine serumCurcuminLipopolysaccharideTumor necrosis factor alphaChemistryQuercetinProinflammatory cytokineMTT assayCell growthMacrophageCell culturePharmacologyIn vitroMolecular biologyBiochemistryBiologyInflammationAntioxidantImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: The present study was designed to examine the anti-inflammatory effects of plant-derived products marketed for human health benefits. METHODS: The tumor necrotic factor-α (TNF-α) was used as a proinflammatory biomarker generated by mouse macrophage RAW 264.6 cells. The in vitro tested plant products include Saskatoon berry (SKB), quercetin, purified oat beta-glucan (OBG), curcumin, and turmeric. Quantification of TNF-α in cell culture supernatants was carried out using mouse TNF-α assay kit and the cell proliferation was determined by MTT (3-(4, 5-dimethylthiazolyl-2)-2,5- diphenyltetrazolium bromide) assay. The cells were grown in Dulbecco's modified Eagle's medium supplemented with 10% heat-inactivated fetal bovine serum and 100 U/mL penicillin and 100 µg/mL streptomycin. Bacterial lipopolysaccharide (LPS) at a concentration of 500 ng/mL was employed to stimulate the TNF-α production in mouse macrophage cells. RESULTS: Results showed that curcumin at 10 µM (3.7 µg/mL) level effectively attenuated the LPS-induced inflammatory response, and at 100 µM completely inhibited macrophage RAW cell growth (p<0.05). The aqueous turmeric extract caused inhibitory effect on TNF-α at 25, 50, 100, and 500 µg/mL. SKB inhibited TNF-α production at 50, 100, 500, and 1,000 µg/mL. On the other hand, at 10, 25, 500, and 1,000 µg/mL SKB promoted significant cell growth/proliferation. Quercetin at 10, 25, 50 and 100 µg/mL inhibited TNF-α, but at 500 and 1,000 µg/mL stimulated cell growth. OBG at 10, 25, and 50 µg/mL inhibited TNF-α, but in some cases OBG stimulated TNF-α At 1,000 and 10,000 µg/mL OBG proved to be extremely toxic or lethal to the macrophage cells. CONCLUSIONS: Overall, the plant products showed anti-inflammatory effects as well as cell proliferation or inhibition in the in vitro system used in this investigation. The underlying mechanisms of dualistic actions caused by plant-derived ingredients, viz., macrophage cellular growth stimulation or retardation, remain to be elucidated.

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)0.000
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 score0.056
Threshold uncertainty score0.385

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 head0.016
GPT teacher head0.298
Teacher spread0.282 · 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