Synthetic peptides derived from the Schistosoma mansoni secretory protein Sm16 induce contrasting responses in hepatic stellate cells
Bibliographic record
Abstract
Sm16 is a 16 KDa protein released by Schistosoma mansoni that modulates inflammatory responses in host cells. Sm16 is expressed by several life cycle stages of S. mansoni, including the egg stage. Schistosome eggs are known to provoke chronic schistosomiasis pathology, which involves the development of liver fibrosis. Hepatic stellate cells (HSCs), which are responsible for this fibrosis, are susceptible to immunomodulation by S. mansoni whole egg secretions. To define the effects of Sm16 exposure on HSCs, two synthetic peptide derivatives of Sm16, coined "KS-84″ and "KS-66″, were tested against LX-2 cells, an immortalised human HSC line, and RNA sequencing was used to assess the transcriptional changes induced by each peptide. In total, 78 and 798 genes were found to be significantly differentially expressed by KS-84 and KS-66 treatment, respectively. In silico pathway analysis of these genes revealed that KS-84 reduced LX-2 cell activation and fibrotic potential, whereas KS-66 increased both processes. Reduced transforming growth factor-β1 (TGF-β1) signalling was identified as a potential mechanism of KS-84-induced inhibition of LX-2 activation. Taken together, these findings indicate a potential role for Sm16 in combatting fibrotic liver disease.
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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".