Cigarette Smoke-Induced Proteostasis Imbalance in Obstructive Lung Diseases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The airway and alveolar surface is exposed daily to 8,000 L of air containing oxygen, particles, bacteria, allergens and pollutants, all of which have the potential to induce oxidative stress within cells. If one is also a cigarette smoker, then the exposure to reactive oxidants increases exponentially. More than any other tissue, the lung is at risk of undergoing oxidative changes in protein expression, structure and function. The oxidant burden of chronic cigarette smoke exposure can overwhelm the lung cells' capacity to maintain proteostasis, a process of regulated protein synthesis, folding and turnover. Somewhat surprisingly, most chronic cigarette smokers do not develop chronic obstructive pulmonary disease (COPD), likely because cells initiate a highly effective unfolded protein response (UPR) in the presence of oxidant-derived endoplasmic reticulum (ER) stress that allows cells to survive. The UPR initiates several signaling pathways that decrease protein translation, limit cell cycle progression, increase protein degradation and chaperone-mediated protein folding, and activate the transcription factor Nrf2 that induces antioxidant gene expression. Each of these actions decreases ER stress in a process of "healthy proteostasis". If these responses are insufficient, apoptosis ensues. In this article, we review the mechanisms of healthy and dysfunctional proteostasis related to cigarette smoke exposure and COPD.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it