Potential Antileishmanial Activity of Essential Oils of Native Species from Southern Brazil
Bibliographic record
Abstract
Leishmaniasis are a neglected tropical diseases that affecting 98 countries on three continents. Every year, 1.3 million of people are infected with the disease and 50.000 persons die because of this. The aim of this work was to evaluate antileishmanial activities in vitro from native species of South of Brazil belonging to the Myrtaceae family. The essential oils from leaves of Calyptranthes grandifolia, Calyptranthes tricona, Eugenia anomala, Eugenia arenosa, Eugenia pyriformis, Myrrhinium atropurpureum and Psidium salutare were analyzed in vitro for antileishmanial activity against promastigotes of Leishmania amazonensis, employed MTT assay. The essential oils from leaves of C. grandifolia, C. tricona, E. arenosa and E. pyriformis presented IC50 values of 31.27 ± 6.40 µg/mL, 26.13 ± 8.60 µg/mL, 13.72 ± 8.65 µg/mL and 19.73 ± 5.40 µg/mL, respectively, and not are statistically different from pentamidine (IC50 = 23.22 ± 9.04 µg/mL), the reference drug. The results show the potential of essential oils from leaves of C. grandifolia, C. tricona, E. arenosa and E. pyriformis as antileishmanial, as well as the importance of continuing studies to in order to advance in the search and development of new therapeutic options from of brazilian flora sources.
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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".