MétaCan
Menu
Back to cohort
Record W2733871837 · doi:10.31989/ffhd.v7i6.342

Demonstrating the relationship between the phytochemical profile of different teas with relative antioxidant and anti-inflammatory capacities

2017· article· en· W2733871837 on OpenAlex
Xiumin Chen, David D. Kitts, Zhili Ma

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFunctional Foods in Health and Disease · 2017
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsPhytochemicalAntioxidantCamellia sinensisTraditional medicineFood scienceChemistryPopulationHerbal teaNitric oxideOxidative stressBiologyBotanyBiochemistryMedicine

Abstract

fetched live from OpenAlex

Background: Indigenous or traditional aqueous plant extracts are commonly used by as much as 80% of the world’s population for primary health needs. Teas including Camellia sinensis teas and herbal teas were characterized for phytochemical content and the potential to offer specific bioactivities that could benefit human health by mitigating oxidative stress and inflammation. Context and purpose of this study: In present study, we compared the phytochemical profiles, antioxidant and anti-inflammatory activities of four Camellia sinensis (white, green, oolong, and black) teas and two herbal (Rooibos and Yerba mate) teas that are produce and consumed by different population worldwide. We also studied the impact of Rooibos tea on the production of inflammatory mediators, including nitric oxide (NO), inducible nitric oxide synthase (iNOS), cyclooxygenase 2 (COX-2) and different cytokines in Raw 264.7 cells, both with or without interferon γ (IFN-γ) and lipopolysaccharide (LPS) stimulation.Results: White tea had the highest total phenolic content (TPC) and antioxidant activity among these six teas examined, whereas, Rooibos tea has the lowest TPC, antioxidant and anti-inflammatory activities. Yerba mate tea had the greatest potential to inhibit NO production in IFN-γ and LPS-induced Raw 264.7 cells. The anti-inflammatory activity of teas was found to be correlated with antioxidant activity and phytochemical composition. Among the six teas examined, only Rooibos tea was found to induce NO in unstimulated Raw 264.7 cells. Under basal conditions, Rooibos tea induced interleukin (IL)-1α (IL-1α), IL-1β, IL-6, IL-10, granulocyte-colony stimulating factor (G-CSF), granulocyte macrophage colony-stimulating factor (GM-CSF), tumor necrosis factor- alpha (TNF-α), iNOS and COX-2 production. However, Rooibos tea also showed a dose-dependent inhibition of IL-6, IL-10, iNOS and COX-2 expression in stimulated Raw 264.7 cells. Although high concentration Rooibos tea was affective to inhibit induced IL-1α, G-CSF and GM-CSF, low concentration Rooibos tea also can up-regulate the expression of these cytokines. No inhibitory effects of all teas examined were found on mitigation of IL-1β and TNF-α.Conclusions: Rooibos tea can show dual functions on inflammation, by either promoting an inflammatory response to cytokines induction or, alternatively inhibit inflammation on exposure to cytokine treatment, such as tissue injury or a pathogen infection. Rooibos tea also has marked value in mitigating disease states such as hypertension and cardiovascular diseases where induction of NO production is important.Keywords: Camellia sinensis, Rooibos tea, herbal tea, inflammation, cytokine, antioxidant

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.051
GPT teacher head0.304
Teacher spread0.253 · 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