Analysis of two common α<sub>1</sub>‐antitrypsin deficiency alleles (<i>PI</i>*<i>Z</i> and <i>PI</i>*<i>S</i>) in subjects with periodontitis
Bibliographic record
Abstract
BACKGROUND: pi alpha 1-Antitrypsin deficiency is a genetically determined condition resulting in predisposition to certain inflammatory diseases due to a protease: antiprotease imbalance that is exacerbated by tobacco smoking. Limited evidence suggests that there may be a significant enrichment of mild alpha 1-antitrypsin deficiency phenotypes in subjects with chronic inflammatory periodontal disease. OBJECTIVE: To examine the prevalence of two common alpha1-antitrypsin deficiency alleles (PI*Z and PI*S) in a UK population of subjects with periodontitis. SUBJECTS AND METHODS: The prevalence of PI*M, PI*S and PI*Z allele combinations was determined in 31 subjects with periodontitis and compared with 31 healthy control subjects matched for smoking status, ethnicity, age and gender. alpha 1-Antitrypsin genotyping was performed by multiplex real-time fluorescence polymerase chain reaction (PCR) using DNA extracted from whole blood. RESULTS: There was no difference in the proportion of any alpha 1-antitrypsin genotype found in the diseased and control populations. CONCLUSIONS: We did not find evidence to support an association between mutant PI* alleles and periodontitis in a small, controlled study. Larger studies will be required to clarify the relationship between alpha1-antitrypsin genotype and susceptibility to inflammatory periodontal disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".