A Combination with Probiotic Complex, Zinc, and Coenzyme Q10 Attenuates Autoimmune Arthritis by Regulation of Th17/Treg Balance
Bibliographic record
Abstract
Probiotic complex, zinc, and coenzyme Q10 (CoQ10) are recognized dietary supplements with an anti-inflammatory role. Although these supplementations are individually known to benefit rheumatoid arthritis (RA), there is no evidence suggesting any synergic effect. The primary goal of this study is to determine whether probiotic complex, zinc, and CoQ10 attenuate the development of collagen-induced arthritis (CIA). The combination of probiotic complex, zinc, and CoQ10 reduced CIA severity by downregulating the levels of IgG, IgG1, and IgG2a in serum. Joint inflammation, bone destruction, and cartilage damage were also improved by the complex. There was a decrease in the expression of tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-17, and vascular endothelial growth factor (VEGF) in the joint synovium. The balance between helper T 17 (Th17) cells and regulatory T (Treg) cells was shown to be controlled reciprocally by the complex. These findings suggest that the combination of probiotic complex, zinc, and CoQ10 can ameliorate the development of CIA by inhibiting the expression of proinflammatory cytokines, and is thus an important therapeutic candidate for RA treatment.
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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) | 0.001 | 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 | 0.001 |
| 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".