Myrsinoic acid B inhibits the production of hydrogen sulfide by periodontal pathogens <i>in vitro</i>
Bibliographic record
Abstract
Recently, we reported that myrsinoic acid B purified from Myrsine seguinii inhibited methyl mercaptan (CH(3)SH) production by Fusobacterium nucleatum JCM8532. Since hydrogen sulfide (H(2)S) is the main component of physiological halitosis, while CH(3)SH is involved in pathological oral halitosis, the objective of this study is to determine whether myrsinoic acid B inhibits H(2)S production by oral microorganisms. F. nucleatum, Porphyromonas gingivalis and Treponema denticola were incubated with myrsinoic acid B and a substrate such as l-cysteine or l-methionine. H(2)S or CH(3)SH concentration in the headspace air, was determined using a gas chromatograph. The concentration of myrsinoic acid B inhibiting 50% (IC(50)) of H(2)S production by F. nucleatum was 0.142 µg ml(-1), and the IC(50) of P. gingivalis and T. denticola were 2.71 µg ml(-1) and 28.9 µg ml(-1), respectively. The presence of pyruvate, a by-product of H(2)S production, was determined. The IC(50) values of myrsinoic acid B for pyruvate production were 22.9 µg ml(-1) for F. nucleatum, 87.7 µg ml(-1) for P. gingivalis and 165 µg ml(-1) for T. denticola. We concluded that myrsinoic acid B inhibited the production of both H(2)S and pyruvate by periodontal pathogens.
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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".