Efeito imunomodulatório do Tnp, um peptídeo isolado do veneno de Thalassophryne nattereri na encefalomielite autoimune experimental.
Bibliographic record
Abstract
Diante da ausência de tratamentos eficazes para a esclerose múltipla (EM) e sabendo que compostos animais têm sido usados como protótipos para o desenvolvimento de novas drogas, avaliamos o efeito do Tnp, um peptídeo cíclico inédito e com potencial antiinflamatório derivado do veneno de Thalassophryne nattereri, na encefalomielite autoimune experimental (EAE), um modelo representativo da EM. Demonstramos que o Tnp em distintos esquemas de tratamento por mecanismos também dependentes de IL-10 consegue diminuir a intensidade dos sintomas clínicos e adiar o pico de aparecimento dos sintomas graves na EAE por suprimir DC convencionais e propiciar DC plasmocitóides; por bloquear a infiltração de leucócitos e a reativação de clones Th1, Th17, microglia e macrófagos no SNC; por favorecer o aumento de células reguladoras e ainda por ultrapassar a BHE e alcançar o órgão alvo. O Tnp atenua a neuroinflamação e previne a desmielinização, refletindo assim na melhoria dos sinais clínicos na EAE, tornando-se um importante candidato para o tratamento da EM.
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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 | 0.001 |
| 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".