<i>Actinobacillus actinomycetemcomitans</i>genetic heterogeneity: amplification of JP2-like<i>ltx</i>promoter pattern correlated with specific arbitrarily primed polymerase chain reaction (AP-PCR) genotypes from human but not marmoset Brazilian isolates
Bibliographic record
Abstract
Specific clonal types of Actinobacillus actinomycetemcomitans, a major human periodontal pathogen, may be responsible for clinical manifestations and the production of leukotoxin virulence factors. Leukotoxicity is associated with genetic polymorphism at the promoter region of the leukotoxin (lItx) gene. Here, we describe the use of arbitrarily primed polymerase chain reaction (AP-PCR) and ltx promoter PCR to molecularly characterise 35 A. actinomycetemcomitans Brazilian isolates: 21 of human origin and 14 from captive marmosets (Callitrix spp., primates commonly used as animal models for periodontal research). The discriminative capacity of each of 12 arbitrary primers was found to be variable, yielding between 3 and 24 PCR amplitypes. Combination of the results for all primers led to characterisation of 14 genotypes that grouped into four major clusters based on genetic similarity. Clusters 2, 3, and 4 were discriminative to host origin. A correlation with periodontal disease was suggested for strains belonging to clusters 3 and 4. The JP2-like PCR amplification pattern, associated with highly leukotoxic strains, was exclusive to human isolates and present in 29% of human isolates where it occurred in close relationship with AP genotypes L and J (cluster 3).
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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 | 0.001 |
| 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".