Effects of daily blueberry consumption on circulating biomarkers of oxidative stress, inflammation, and antioxidant defense in postmenopausal women with pre- and stage 1-hypertension: a randomized controlled trial
Bibliographic record
Abstract
Oxidative stress and inflammation are central to the development of a number of chronic diseases including cardiovascular disease and previous research suggests that blueberry consumption may attenuate these processes. The present study investigated the effects of blueberries on blood biomarkers of oxidative stress, inflammation, and antioxidant defense in postmenopausal women with pre- and stage 1-hypertension. In a randomized, parallel-arm, double-blind, placebo-controlled clinical trial, 40 pre- and stage 1-hypertensive postmenopausal women aged 45 to 65 years were randomly assigned to receive 22 g freeze-dried highbush blueberry powder per day (Blueberry) or 22 g placebo powder per day (Control) for 8 weeks. A blood biomarker of oxidative DNA damage, 8-hydroxy-2'-deoxyguanosine (8-OHdG), as well as blood biomarkers of oxidative stress, inflammation, and antioxidant defense were assessed at baseline, 4 and 8 weeks. 8-OHdG levels were significantly (P = 0.008) lower in Blueberry compared to Control at 4 weeks with a significant time-by-treatment interaction (P = 0.04). Levels were not different between groups at 8 weeks. Other biomarkers measured were not affected by blueberry consumption. Daily consumption of blueberries for 4 weeks, but not 8 weeks, attenuated a biomarker of oxidative DNA damage in pre- and stage 1-hypertensive postmenopausal women. Future clinical studies should directly evaluate the effects of blueberry consumption on oxidative stress, inflammation, and antioxidant defense at the cellular level and in the vasculature in this population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".