Effects of Exercise and B Vitamins on Homocysteine and Glutathione in Parkinson’s Disease: A Randomized Trial
Bibliographic record
Abstract
BACKGROUND: Individuals with Parkinson's disease (PD) have decreased glutathione levels and elevated homocysteine levels. These substances are considered markers of health, and an inverse relationship has been suggested through the transsulfuration pathway. This experiment tested the effects of exercise and B vitamin supplementation on homocysteine and glutathione levels, and if a relationship was present between these two markers in those with PD. Secondary aims included examining the impact of the interventions on aerobic efficiency and strength. METHODS: Thirty-six subjects were randomly assigned to 4 groups. The Vit group received vitamins B(6), B(12) and folic acid daily for 6 weeks. The Ex group received aerobic and strength training twice weekly for 6 weeks. The Vit + Ex group received both interventions. A control group received no intervention. Subjects were tested prior to and after intervention on the following measures: glutathione and homocysteine levels, strength measures and oxygen consumption. RESULTS: Subjects who received 6 weeks of B vitamin supplementation had lowered homocysteine levels. Subjects who received 6 weeks of exercise training had increased glutathione levels, strength and aerobic capacity. The combination of vitamin and exercise did not yield greater changes than the separate intervention. The control subjects did not change on any measures. CONCLUSION: Positive results were realized with each intervention; however, the expected relationship between glutathione and homocysteine was not found in this sample of subjects with PD. Homocysteine and glutathione levels can be improved independently in individuals with PD with exercise or vitamins B(6), B(12) and folic acid supplementation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".