Interleukin‐2, ‐16, and ‐17 gene polymorphisms in Iranian patients with chronic periodontitis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Aim Chronic periodontitis (CP) is a multifactorial disease and the most common type of periodontitis mainly caused by microbial plaque. CP can be brought on by, and progresses with, insufficient oral hygiene, and environmental and genetic susceptibilities. The aim of the present study was to investigate the association between interleukin (IL)‐2 (T‐330G), IL‐16 (T‐295C), and IL‐17 (A‐7383G) gene polymorphisms and the susceptibility to CP in an Iranian population. Methods Ninety‐nine cases diagnosed with CP and 75 matched healthy controls engaged in the present study. 3 cc peripheral blood samples were obtained for DNA isolation. Genotype analysis was performed using restriction fragment length polymorphism polymerase chain reaction. Genotype distribution and allele frequencies within groups were compared using χ 2 ‐test, and logistic regression analysis was used to recognize the independent relation between the disease and the absence or presence of alleles. Results There was no polymorphism in IL‐2 (T‐330G) among our patients, and the TT genotype was present in both study groups. Moreover, none of the studied genotypes and alleles of IL‐16 (T‐295C) and IL‐17 (A‐7383G) was significantly associated with CP. Conclusion The present study demonstrated no association between IL‐2 (T‐330G), IL‐16 (T‐295C), and IL‐17 (A‐7383G) genotypes and CP in an Iranian population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it