Serum Level and Genetic Polymorphism of IL-38 and IL-40 in Autoimmune Thyroid Disease
Bibliographic record
Abstract
Autoimmune thyroid disease mainly includes Graves’ disease (GD) and autoimmune hypothyroidism (AIH), which is caused by individual genetics, autoimmune dysfunction, and a variety of external environmental factors. Interleukin IL-38 and IL- 40 are involved in a wide range of autoimmune diseases, but little is known about IL-38 and IL-40 expression in autoimmune thyroid disease. This research included 82 female patients with Graves' disease (GD), 78 females with autoimmune hypothyroidism (AIH), and 85 female healthy controls (HC). An enzyme linked immunosorbent assay and sequencing of IL-38 and IL-40 were used to evaluate serum levels and gene polymorphism, respectively. Results showed that significantly lower level of serum IL-38 levels in the GD and AIH groups in comparison with HC group (both p 0.0001). While there were highly significant differences in the GD and AIH groups than in the HC population (both p 0.0001). There was a significant variability in genotype and allele frequencies in the promoter region of IL-38 and IL-40 genes between patients with thyroid disease and healthy controls. The IL-38 homozygote genotype GG exhibits a substantial correlation with GD (P=0.000). While the CC genotype of IL-40 was shown to have a significant correlation with AIH. The findings suggest that serum concentrations of IL-38 and IL-40 are potential novel diagnostic biomarkers in patients with GD and AIH, and that the homozygotes GG and CC of IL-38 and IL-40, respectively, serve as a potential predisposing factor on GD and AIH development in the Iraqi population.
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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 | 0.001 | 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".