Plasma Metabolic Profiling in Patients With Silicosis and Asbestosis
Bibliographic record
Abstract
OBJECTIVES: To explore the circulating metabolites and related pathways in silicosis and asbestosis exposure to different mineral dust. METHODS: Plasma of 30 silicosis, 30 asbestosis, and 20 healthy controls was analyzed using liquid chromatography-mass spectrometry. Metabolic networks and the relevance of the identified metabolic derangements were explored. RESULTS: Compared with healthy controls, 37 and 39 dysregulated plasma metabolites were found in silicosis and asbestosis, respectively, of which the levels of 22 metabolites differed. Three major pathways were identified, among which arginine and proline metabolism was identified as the most closely related metabolic pathway. CONCLUSIONS: The types and quantities of up-regulated metabolites including lipids, amino acids, and carnitines differed between silicosis and asbestosis. Pathways inducing lung fibrosis were common to mineral dust exposure, while pathways related to oxidative stress and tumorigenesis differed between silicosis and asbestosis.
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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 | 0.000 | 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 | 0.000 | 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".