Multi-physiopathological consequences of the c.1392G>T CFTR mutation revealed by clinical and cellular investigations
Bibliographic record
Abstract
This study combines a clinical approach and multiple level cellular analyses to determine the physiopathological consequences of the c.1392G>T (p.Lys464Asn) CFTR exon 10 mutation, detected in a CF patient with a frameshift deletion in trans and a TG(11)T(5) in cis. Minigene experiment, with different TG(m)T(n) alleles, and nasal cell mRNA extracts were used to study the impact of c.1392G>T on splicing in both in cellulo and in vivo studies. The processing and localization of p.Lys464Asn protein were evaluated, in cellulo, by western blotting analyses and confocal microscopy. Clinical and channel exploration tests were performed on the patient to determine the exact CF phenotype profile and the CFTR chloride transport activity. c.1392G>T affects exon 10 splicing by inducing its complete deletion and encoding a frameshift transcript. The polymorphism TG(11)T(5) aggravates the effects of this mutation on aberrant splicing. Analysis of mRNA obtained from parental airway epithelial cells confirmed these in cellulo results. At the protein level the p.Lys464Asn protein showed neither maturated form nor membrane localization. Furthermore, the in vivo channel tests confirmed the absence of CFTR activity. Thus, the c.1392G>T mutation alone or in association with the TG repeats and the poly T tract revealed obvious impacts on splicing and CFTR protein processing and functionality. The c.[T(5); 1392G>T] complex allele contributes to the CF phenotype by affecting splicing and inducing a severe misprocessing defect. These results demonstrate that the classical CFTR mutations classification is not sufficient: in vivo and in cellulo studies of a possible complex allele in a patient are required to provide correct CFTR mutation classification, adequate medical counseling, and adapted therapeutic strategies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".