Associations Between Dietary Antioxidant Intake and Oxidative Stress in HIV-Seropositive and HIV-Seronegative Men and Women
Bibliographic record
Abstract
OBJECTIVE: To describe the relationship between dietary antioxidant intake and oxidative stress in clinically stable HIV-positive and HIV-negative adults. DESIGN: A cross-sectional study. METHODS: Average total daily dietary intakes of vitamin C, beta-carotene, alpha-tocopherol, selenium, and zinc from foods and nutritional supplements were estimated in noninstitutionalized individuals using the dietary history method. Plasma malondialdehyde (MDA) concentrations were measured by high-performance-liquid-chromatography (HPLC) whereas peripheral blood mononuclear cell glutathione (PBMC GSH) concentrations were determined spectrophotometrically by an enzymatic recycling assay. Data were analyzed in multiple linear regression models to investigate these relationships. RESULTS: Regression analysis revealed an inverse relationship between selenium intake and plasma MDA in a model that included the five dietary antioxidants ( R 2 = 0.25; p < .02) and with selenium only ( R 2 = 0.19; p < .01). Both models were adjusted for gender, smoking status, and HIV seropositivity. Antioxidant intake was not associated with PBMC GSH ( R 2 = 0.12, p = .36). In univariate analyses, oxidative stress did not significantly differ between clinically stable HIV-positive and healthy HIV-negative study subjects. CONCLUSIONS: This is the first study to characterize the relationship between dietary antioxidant intake from food and supplements with oxidative stress. The results suggested dietary selenium intake was strongly and inversely associated with plasma MDA, but dietary antioxidant intakes were not related to PBMC GSH. This study also provides evidence that HIV infection was not specifically associated with oxidative stress among clinically stable individuals.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".