Hyaluronic acid/silk fibroin nanoparticles loaded with methotrexate for topical treatment of psoriasis
Bibliographic record
Abstract
Systemic administration of methotrexate (MTX), widely regarded as one of the most effective treatments for psoriasis, poses significant challenges due to its high toxicity, limited solubility, and potential for adverse effects. Consequently, developing a topical form of MTX may offer a safer and more effective strategy for psoriasis management. Silk fibroin (SF), a protein-based biomacromolecule, has shown considerable promise as a nanocarrier for sustained and targeted drug delivery, owing to its exceptional physicochemical and biological properties. This study aimed to develop and characterize a novel drug delivery nanocarrier for MTX using SF nanoparticles modified with hyaluronic acid (HA) and to assess their potential for skin-targeted drug delivery with reduced transdermal permeation. The nanoparticles were thoroughly characterized, demonstrating a uniform particle size, high drug-loading capacity, pH sensitivity, and excellent slow-release properties. In vitro and in vivo experiments further indicated that these nanoparticles effectively reduced psoriasis-induced inflammatory responses, including erythema and scaling, by inhibiting keratinocyte proliferation and decreasing levels of pro-inflammatory cytokines. The inclusion of HA improved nanoparticle targeting, particularly through interactions with overexpressed CD44 proteins in psoriatic skin, resulting in enhanced methotrexate accumulation at the sites of inflammation and improved therapeutic efficacy. Our findings suggest that HA/SF nanoparticles loaded with MTX represent a promising, safe transdermal delivery system for the localized treatment of psoriasis.
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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 | 0.000 |
| 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 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".