Harnessing nanotechnology with mushroom-derived bioactives: Targeting inflammatory pathways and miRNAs in osteoarthritis
Bibliographic record
Abstract
Mushrooms and their bioactive compounds have demonstrated significant anti-inflammatory potential, yet their role in mitigating osteoarthritis (OA) remains underexplored. OA is a degenerative joint disease commonly affecting diarthrodial joints, leading to disability, particularly among the elderly. It is characterized by the excessive production of proinflammatory cytokines and oxidized low-density lipoproteins (oxLDLs) in chondrocytes. This review examines existing literature on the immunomodulatory effects of edible and medicinal mushrooms, proposing their potential in reducing OA risk. Findings indicate that mushrooms can suppress inflammation by inhibiting nuclear factor kappa-B (NF-κB) and proinflammatory mediators such as cyclooxygenase-2 (COX-2), nitric oxide (NO), inducible nitric oxide synthase (iNOS), interleukins (IL-1β, IL-b), and tumor necrosis factor-alpha (TNF-α). Given that these mediators are elevated in OA, mushroom-derived compounds may alleviate OA severity by modulating their expression. However, there remains a gap in research regarding the role of microRNA and nanotechnology in OA treatment, highlighting the need for further studies. This review provides comprehensive evidence supporting the anti-inflammatory properties of mushrooms, emphasizing their potential as an alternative therapeutic strategy for OA management. Future research should focus on the integration of microRNA and nanotechnology to enhance OA treatment efficacy. • Edible mushrooms contain bioactive compounds that are key in inhibiting inflammation. • Most research indicates that inflammatory mediators are elevated in osteoarthritis, suggesting that mushroom compounds may help reduce the severity of the condition. • Some mushrooms have also been found to regulate miRNA, which in turn modulates the NF-κB and p38MAPK pathways—both of which play crucial roles in osteoarthritis. • In this paper, nanotechnology is being considered as an innovative approach to alleviate osteoarthritis by targeting inflammatory pathways and miRNA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".