Effects of cyanidin 3-<i>O</i>-glucoside and hydrochlorothiazide on T-cell phenotypes and function in spontaneously hypertensive rats
Bibliographic record
Abstract
Immune system dysfunction may contribute to the pathogenesis of hypertension in spontaneously hypertensive rats (SHR). We examined the effects of the anthocyanin, cyanidin 3-O-glucoside (C3G), and the diuretic, hydrochlorothiazide (HCT), on T-cell function in SHR. Five-week-old male SHR and Wistar-Kyoto (WKY) rats received water (n = 8/SHR; n = 8/WKY), 10 mg kg-1 day-1 C3G (n = 8/SHR; n = 8/WKY), 10 mg kg-1 day-1 HCT (n = 8/SHR; n = 8/WKY), or 10 mg kg-1 day-1 C3G + 10 mg kg-1 day-1 HCT (n = 8/SHR; n = 8/WKY) by oral gavage for 15 weeks. Spleens were used to assess T-cell phenotypes via flow cytometry and concanavalin A stimulated ex vivo cytokine production (IL-2, IL-10, TNFα, IFNγ) using a cytometric bead array. SHR had lower proportions of helper T-cells (Th) that were T-regulatory, CD62Llo, CD62L- and CD25+ compared to WKY. C3G treated SHR had higher proportions of Th that were CD62Llo and CD62L-, while HCT treated rats had higher CD62Lhi and CD62Llo and lower CD62L- compared to SHR control. The proportion of T-regulatory and Th that were CD25+ were not affected by treatment in SHR. Stimulated splenocytes from SHR produced lower concentrations of cytokines compared to WKY. C3G treated SHR produced higher while HCT treated SHR produced lower TNFα and IFNγ concentrations compared to controls. Our findings suggest that C3G has positive effects, whereas HCT further suppresses T-cell function in SHR.
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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 | 0.000 | 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 | 0.001 |
| 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".