Oxylipin Profiling of Airway Structural Cells Is Unique and Modified by Relevant Stimuli
Bibliographic record
Abstract
Oxylipins, diverse lipid mediators derived from fatty acids, play key roles in respiratory physiology, but the contribution of lung structural cells to this diverse profile is not well understood. This study aimed to characterize the oxylipin profiles of airway smooth muscle (ASM), lung fibroblasts (HLF), and epithelial (HBE) cells and define how they shift when they are exposed to stimuli related to contractility, fibrosis, and inflammation. Using HPLC-MS/MS, 162 oxylipins were measured in baseline media from cultured human ASM, HLF, and HBE cells as well as after stimulation with modulators of contractility and central regulators of fibrosis/inflammation. At the baseline, ASM and HLF cells had the most similar oxylipin profiles, dominated by oxylipins from cytochrome P450 (CYP450) epoxygenase metabolites. TGFβ stimulation of HLF suppressed CYP450-derived oxylipins, while ASM stimulation increased prostaglandin production. HBE showed the most distinct baseline profile enriched with cyclooxygenase (COX)-derived oxylipins. TGFβ stimulation of HBE increased the level of several oxylipins from CYP450 epoxygenases. These findings highlight the importance of CYP450 oxylipins, which are relatively unexplored in the context of respiratory physiology. By resolving these oxylipin profiles, we enable future respiratory research to understand the function of these oxylipins in regulating physiology, especially in the context of modifying contraction and inflammation.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".