Hydroxycinnamic acid‐spermidine amides from <i>Tetragonisca angustula</i> honey as anti‐<i>Neospora caninum</i>: <i>In vitro</i> and <i>in silico</i> studies
Bibliographic record
Abstract
column to furnish three fractions (A-C) in which four hydroxycinnamic acid-Spermidine amides (HCAAs), known as N', N″, N‴-tris-p-coumaroyl spermidine, N', N″-dicaffeoyl, N‴-coumaroyl spermidine, N', N″, N‴-tris-caffeoyl spermidine and N', N″-dicaffeoyl and N‴-feruloyl spermidine were identified in the fractions B and C by electrospray ionization tandem mass spectrometry. A primary culture model previously infected with Neospora caninum (72 h) was used to evaluate the honey fractions (A-C) for two-time intervals: 24 and 72 h. Parasitic reduction ranged from 38% on fraction C (12.5 µg/ml), after 24 h, to 54% and 41% with fractions B and C (25 µg/ml) after 72 h of treatment, respectively. Additionally, HCAAs did not show any cell toxicity for 24 and 72 h. For infected cultures (72 h), the active fractions B (12.5 µg/ml) and C (25 µg/ml) decreased their NO content. In silico studies suggest that HCAAs may affect the parasite's redox pathway and improve the oxidative effect of NO released from infected cells. Here, we presented for the first time, that HCAAs from T. angustula honey have the potential to inhibit the growth of N. caninum protozoa.
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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".