Sensing molecular carbon dioxide: a translational focus for respiratory disease
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 last two decades of research on carbon dioxide have demonstrated that CO 2 is far more than a waste product of aerobic metabolism leading to acidosis and that it elicits biological responses directly via non-pH-dependent molecular interactions. New specialized methodologies have mapped CO 2 incorporation into specific regions of CO 2 -sensitive proteins and linked these events to altered cellular function. CO 2 affects a host of biological responses related to respiratory disease, including control of respiration, protein maturation, alveolar fluid homeostasis, wound repair, innate immunity, host defense, and airway contractility. Elevated CO 2 (hypercapnia) appears to be primarily deleterious in pulmonary diseases, leading to a heightened interest in strategies to reduce excess CO 2 in patients with hypercapnic respiratory failure. Here, we summarize recently generated knowledge on molecular CO 2 sensing and signaling and the potential translational relevance of these processes in the context of respiratory disease. We need to grow this field further by encouraging experts in basic and translational science to contribute to more fully elucidating CO 2 sensing, signaling, and downstream effects. Understanding the biology and clinical consequences of perturbations in CO 2 homeostasis should no longer be considered secondary to studying oxygen sensing and signaling in respiratory medicine.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| 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 | 0.000 |
| 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