L-Arginine metabolism in airways of children with primary ciliary dyskinesia (PCD) or cystic fibrosis (CF)
Bibliographic record
Abstract
Reduced L-arginine availability for NO synthases (NOS) and increased levels of NOS inhibitor asymmetric dimethylarginine (ADMA) cause airway NO deficiency in CF patients with severe pulmonary exacerbation (PEx), but data for milder CF exacerbation or for PCD are lacking. Methods: CF and PCD patients with PEx requiring oral AB treatment were studied. Exclusion criteria included infection with P. aeruginosa or B. cepacia . Sputum samples were obtained before (V1) and after (V2) three weeks of oral ABs. L-arginine metabolites were quantified by LC-MS/MS and NO metabolites (NOx) using Griess reagent. Results: Eleven PCD and 16 CF patients with mean age of 10 yrs (range 7-16 yrs) were studied. Mean (±SD) FEV1 at V1 was not different between groups (63±13.8 % in PCD and 74±18.3 % predicted in CF, p=0.1). FEV1 improved to 71 (±21.2) % in PCD (p<0.05, paired t-test) and 86 (±12.3) % predicted in CF (p<0.01). NOx in PCD sputum was 184.3±35.7 µM before and increased to 444.3±82.7 µM at V2 (p=0.025, paired t test). Sputum NOx was higher in CF compared to PCD at V1 (625.5±158.1 µM, p=0.003) and did not change after treatment. There were no differences in L-arginine or ADMA levels between PCD and CF. However, the ratio of NOS substrate/NOS inhibitor (L-arginine/ADMA), was lower in PCD than CF at V1 (138.0±17.8 vs 254.4±41.8, p<0.01) but not different at V2 (320.8±66.4 vs 311.9±60.2). In addition, the L-arginine/L-ornithine ratio, an index of L-arginine availability for NOS, was lower in PCD than CF at V1 (1.0±0.1 vs 1.6±0.2, p<0.02) but not V2 (1.4±0.2 vs 1.6±0.4). Conclusions: Children with PCD and mild pulmonary exacerbation have reduced arginine availability and airway NOx compared to CF.
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.
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".