Cationic peptide of the male reproductive tract, HE2α, displays antimicrobial activity against Neisseria gonorrhoeae, Staphylococcus aureus and Enterococcus faecalis
Bibliographic record
Abstract
OBJECTIVES: To analyse the in vitro antimicrobial effects of synthetic HE2alpha peptide against Neisseria gonorrhoeae, Staphylococcus aureus and Enterococcus faecalis. METHODS: The HE2alpha peptide was synthesized based on the C-terminal sequence of the HE2alpha protein. The bacterial strains tested included two antibiotic-susceptible strains of N. gonorrhoeae and four antibiotic-resistant clinical isolates, as well as S. aureus ATCC 29213 and E. faecalis ATCC 29212. Susceptibility determinations were carried out either in 0.7% casamino acids for N. gonorrhoeae isolates or in 10 mM phosphate buffer for S. aureus and E. faecalis strains. Antibacterial effects were measured in a dose- and time-dependent manner. After exposure to the peptide in solution, the number of viable cells was determined by counting colony forming units (cfu). RESULTS: The HE2alpha peptide exhibited time- and dose-dependent antibacterial effects on all N. gonorrhoeae isolates tested. S. aureus and E. faecalis strains were also susceptible to the peptide. All strains tested were susceptible to the peptide at high concentrations (50 or 100 mg/L) and some strains were susceptible to a peptide concentration of 25 mg/L. CONCLUSIONS: The peptide HE2alpha, which is derived from the male urogenital tract, exhibits antibacterial activity against both gram-positive and gram-negative pathogens in vitro. The peptide is active against both antibiotic-susceptible and -resistant N. gonorrhoeae isolates. Further investigation of the antimicrobial properties of the peptide is warranted.
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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".