Vitamins C, E, and NADH on <i>in Vitro</i> Lymphocyte Proliferation and Redox Status among Obese Patients
Bibliographic record
Abstract
Background: The prevalence of overweight and obesity associated with oxidative stress and immune abnormalities is continuously increasing. Antioxidant supplementations might counteract potential damage caused by ROS to cellular tissues. Objective: To determine the role of vitamins on immune improvement during obesity, we investigated in vitro effects of vitamins C, E, and NADH on mitogen-stimulated proliferation, Th1- and Th2-type cytokine production, and oxidant/antioxidant status of lymphocytes isolated from obese patients. Methods: Peripheral blood lymphocytes were isolated using a density gradient of Histopaque. They were in vitro cultured and stimulated by Con A in the presence or absence of vitamins. Cell proliferation was determined by MTT assay and interleukin-2, interleukin-4 and interferon-γ (INFγ) secretions. Cell oxidant/antioxidant balance was studied by assaying glutathione (GSH), malondialdehyde (MDA), carbonyl protein levels, catalase activity and micronucli frequency. Results: Obesity is associated with enhanced oxidative stress response. Indeed, vitamin C, E and NADH improved significantly lymphocyte proliferation and diminished cellular oxidative stress. Conclusion: Treatments of lymphocytes with vitamins had beneficial effects on lymphocyte proliferation, cytokines secretions and redox status, generating an anti-inflammatory profile and should be considered in therapeutic approaches for normalizing immune cell function in obesity.
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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 | 0.000 |
| 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".