Niosomal Hydrogel Loaded With Bromelain: A Promising Solution for Reducing Skin Collagen in Scleroderma Patients
Bibliographic record
Abstract
Skin fibrosis in scleroderma is a chronic and debilitating condition that affects the quality of life of patients. In this study, we fabricated a niosomal hydrogel containing bromelain to reduce skin collagen and improve skin softness in scleroderma patients. The niosomes were prepared using the thin film hydration method and exhibited a drug loading efficiency of 52.2%. They demonstrated high monodispersity, with mean sizes lower than 200 nm. The results showed a significant reduction in mean dermal thickness from 1195 μm before treatment to 750 μm after the 2-month treatment period. This reduction in dermal thickness and improved skin softness can be attributed to the decomposition of accumulated skin collagen in individuals with scleroderma. Additionally, the treatment was found to be effective in reducing skin collagen levels compared to conventional treatment options that merely impede collagen synthesis. The current study underscores the potential of bromelain niosomal hydrogel as a promising strategy for managing skin fibrosis in scleroderma.
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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) | 0.001 | 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".