Treatment With Schistosoma Japonicum Peptide SJMHE1 and SJMHE1-Loaded Hydrogel for the Mitigation of Psoriasis
Bibliographic record
Abstract
Purpose: ) on the inflammatory response in imiquimod (IMQ)-induced psoriasis mice and LPS-stimulated keratinocytes, as well as the efficacy of SJMHE1-loaded hydrogel on psoriasis in mice. Methods: SJMHE1 was administered to mice with IMQ-induced psoriasis via topical administration or subcutaneous injection, and effects were evaluated by detecting the skin inflammation of mice. LPS-stimulated HaCaT cells were used to assess the regulatory effects of SJMHE1 in vitro. Additionally, the effects of Poloxamer 407 (P407)-loaded SJMHE1 were evaluated in mice with IMQ-induced psoriasis through topical application. Results: Topical administration and subcutaneous injection of SJMHE1 alleviated psoriasis-like skin lesions, improved PASI scores, reduced epidermal thickness and dermal inflammatory cell infiltration, and decreased expression of Ki67, a marker of keratinocyte proliferation or differentiation. SJMHE1 modulated pro-inflammatory and anti-inflammatory cytokine expression in LPS-treated HaCaT cells, down-regulating NF-κB and STAT3 activation. Both SJMHE1-loaded hydrogel and SJMHE1 treatment alleviated IMQ-induced psoriasis-like skin lesions, improved PASI scores, reduced the number of Ki67-positive epidermal cells, decreased the spleen index and T-cell infiltration, increased the proportion of regulatory T cells (Tregs), and decreased the percentage of Th17 cells, alongside reducing inflammatory cytokine expression and NF-κB and STAT3 activation in skin lesions. Notably, weight changes in the SJMHE1-loaded gel group were less than those in the betamethasone-positive control group on days 6, 7, and 8 post-IMQ administration. Conclusion: SJMHE1-loaded hydrogel and SJMHE1 treatment inhibited NF-κB and STAT3 activation in skin lesions, improved Th17/Treg balance, and reduced inflammatory cytokine expression in psoriasis mice, thereby ameliorating psoriatic lesion symptoms. Furthermore, SJMHE1-loaded hydrogel exhibited fewer side effects compared to betamethasone, positioning it as a promising strategy against psoriasis.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Preclinical peptide and hydrogel treatment for psoriasis; a therapeutic efficacy question.
The study tests a therapeutic intervention for psoriasis rather than research practice.
Preclinical psoriasis treatment with a schistosome peptide hydrogel; biomedical therapeutics.
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".