Contribution of mutations in genes of the surfactant system to idiopathic interstitial pneumonia (IIP)
Bibliographic record
Abstract
Background: Children and adult IIP are heterogeneous and severe disorders. Whereas telomerase gene mutations are preferentially found in adult IIP, surfactant gene mutations are mainly reported in children. The study aimed to assess the contribution of surfactant gene mutations in a large pediatric and adult IIP cohort. Methods: Patients with IIP were prospectively included in the French network of rare lung diseases centres. All SFTPA1, SFTPA2, SFTPB, SFTPC, ABCA3, NKX2-1 exons and flanking intronic sequences were analyzed. The identified variations were assessed in silico. Only pathogenic or likely pathogenic mutations were taken into account. Results: 477 patients were included in 4 years (190 children; 287 adults). The mean age at diagnosis was 40 years (0-100) and the sex ratio was 1.47 M/F. The IIP was familial in 22% of cases. A personal or family history of lung cancer was found in 44 (15%) adults. A mutation was identified in a surfactant gene in 45 (9.4%) patients, including 22 (11.6%) children and 23 (8%) adults. Mutations were identified in all the studied genes in children and in adults, except for a SFTPB mutation identified in an adult. A mutation was found in 25% of the 44 adults with a history of IIP and lung cancer (SFTPA = 10, SFTPC = 1). Discussion and conclusion: Surfactant gene mutations encounter for an important part of IIP, thereby strongly suggesting that these molecular analyses should be part of the diagnosis process of IIP, regardless of the patient’s age, especially in case of family history of IIP and/or lung cancer. Such systematic approach should help guiding the most relevant genetic tests to be performed according to the disease phenotype.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".