ATG5, autophagy and lung function in asthma
Bibliographic record
Abstract
Reactive oxidative species (ROS) are essential in cellular survival; however, excessive production and chronic exposure to ROS pose serious health threats. Excessive production of ROS is thought to play a pivotal role in the pathogenesis of asthma, where exhaled levels of ROS have been found to positively correlate with disease severity. Autophagy is induced by ROS to remove oxidized proteins or organelles to minimize tissue damage, and presents itself as a good candidate pathway for investigation in asthma pathogenesis. Given the role of oxidative stress in the pathogenesis of asthma and disease severity, we hypothesized that autophagy is associated with asthma pathogenesis, and sought to detect its presence using both genetic and histological approaches. We found variant rs12212740, an intronic SNP of ATG5, to be associated with asthma and forced expiratory volume in 1 second (FEV(1)) percent predicted in the French Canadian population and with FEV(1) in an American Caucasian cohort. Furthermore, double-membrane autophagosomes were more easily detected in fibroblast and epithelial cells from a bronchial biopsy tissue of a moderately severe asthma patient compared with corresponding cells of a healthy subject. Asthma is associated with a cytokine milieu [e.g., interleukin (IL)-13] that promotes transforming growth factor-β1 (TGFβ1) affiliated airway remodeling, and agonistic relationships existed among these cytokines and ROS. Hence, autophagy may be a cellular mechanism that promotes TGFβ1 airway remodeling and loss of lung function in asthma.
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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) | 0.000 | 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".