Modulatory effect of the <i>SLC9A3</i> gene on susceptibility to infections and pulmonary function in children with cystic fibrosis
Bibliographic record
Abstract
In cystic fibrosis (CF), CFTR dysfunction leads to salt and water imbalance across airway epithelia, depleted surface liquid layer, and impaired mucociliary clearance. This provides optimal conditions for chronic bacterial infections leading to excessive inflammation and progressive obstructive lung disease. We hypothesized that other epithelial channels affecting salt balance across the airways may play a role in the susceptibility to bacterial infections and modulate severity of CF lung disease. The SLC9A3 gene encoding a Na(+) /H(+) exchanger was demonstrated to be a modifier intestinal disease in a murine model of CF. We examined the potential role of SLC9A3 as a modifier of CF lung disease severity. We analyzed 11 SLC9A3 gene variants for association with age of first Pseudomonas aeruginosa infection and lung function in children with CF. The T allele of an intronic variant in the SLC9A3 gene (rs4957061) was significantly (P = 0.02) associated with earlier acquisition of Pseudomonas infection in a cohort of 1,004 pediatric patients. Analysis of lung function in a subset of these patients (752) revealed that patients homozygous for the T allele had substantially reduced lung function and accelerated rate of decline. Although the functional basis for the modulatory effects of this SLC9A3 variant on CF lung disease remains to be elucidated, altered function of the Na(+) /H(+) exchanger may further deplete the airway liquid surface, thereby enhancing susceptibility to Pseudomonas infections and worsening the severity of lung disease.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".