Demonstrating the relationship between the phytochemical profile of different teas with relative antioxidant and anti-inflammatory capacities
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".