Antigenic cross‐reactivity and sequence homology between <i>Actinobacillus actinomycetemcomitans</i> GroEL protein and human fibronectin
Bibliographic record
Abstract
The immunologic cross-reactivity between human fibronectin and Actinobacillus actinomycetemcomitans GroEL was examined. Analyses by SDS-PAGE/Western immunoblotting and ELISA showed that a polyclonal antibody directed against the purified GroEL protein of A. actinomycetemcomitans, but not against the Escherichia coli GroEL, cross-reacts with human fibronectin. No antigenic cross-reactivity was observed between anti-A. actinomycetemcomitans GroEL antibody and type IV collagen, another important constituent of the basement membrane. A comparative analysis of the amino acid sequences of A. actinomycetemcomitans GroEL and human fibronectin revealed eight instances of four-amino acid sequence homology between the two proteins. Six of these tetrapeptide sequences were also shared with E. coli GroEL, suggesting that the remaining two tetrapeptides, GQLI (Glycine-Glutamine-Leucine-Isoleucine) and TGLE (Threonine-Glycine-Leucine-Glutamic acid), may be associated with the epitope that the anti-A. actinomycetemcomitans GroEL antibody specifically recognizes. Reactivity between TGLE, but not GQLI, with anti-A. actinomycetemcomitans GroEL antibody was confirmed by a biospecific interaction analysis using a biosensor technology. Although additional investigations are required, the observed phenomenon may lead to an autoimmune response and thus contribute to tissue destruction during periodontitis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".