Immunity and antioxidant capacity in humans is enhanced by consumption of a fruit and vegetable juice concentrate
Bibliographic record
Abstract
Fruits and vegetables possess phytochemicals that may strengthen immunity. In previous studies, an encapsulated fruit and vegetable juice concentrate (FVJC) protected cellular DNA from oxidative damage in elderly subjects, and increased plasma antioxidants. These studies were extended in a younger, possibly stressed population potentially at risk for illness. Fifty‐nine healthy young (average age 26y) law students participated in a randomized, double‐blind study in which they consumed either FVJC or placebo twice daily for 77 days. Blood was collected on days 1, 35, and 77 and processed to examine various immune and antioxidant parameters. Individuals consuming the FVJC capsules had an increase in the number of circulating γδ T‐cells, and a reduction in lymphocyte DNA damage. Plasma levels of vitamin C, βcarotene, lycopene, and lutein increased significantly in the FVJC group. Although the number of self‐reported illnesses between the groups was not different; there was a trend for the FVJC group to have fewer total symptom‐days (p=0.085). Consumption of the FVJC capsules was effective in enhancing plasma antioxidant status, reducing cellular DNA damage, and facilitating beneficial immune activity as shown by increased γδ T‐cells, which may result in shorter illnesses or reduced number of symptoms. Funded in part by NSA, Inc.
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.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".