Apparatus for Preparing Mimics of Suspended Particles in the Troposphere and Their Controlled Deposition onto Individual Lung Cells in Culture with Measurement of Downstream Biological Response
Bibliographic record
Abstract
Inhalation exposure to particles <10 microm in size that are suspended in the troposphere (PM10) is a factor in respiratory and cardiovascular diseases. The extent of the injury, local to systemic inflammation, is dependent on the number, size, and composition of the particles to which an individual is exposed. The physical properties of and compounds on PM10 that are responsible for these adverse effects on human health are the subject of intense investigation. Here, we report a laboratory method that involved the creation of 1-120 particles per trial that were of known size and composition, followed by deposition of them directly onto individual human lung cells within a cell culture, and after an incubation period, a downstream biological response was measured. To illustrate this methodology, particles that each contained 50 pg of lipopolysaccharide were created and deposited onto individual cells over a region <0.36 mm2 within a genetically modified A549 cell culture. The biological readout was the relative expression of intercellular cell adhesion molecule 1 after 24 h of incubation using an immunocytochemistry assay. The apparatus and methodology introduced here enables studies at the interface between the relevant but diverse areas of atmospheric particle chemistry and lung cell biology to identify the chemical and physical factors of PM10 that cause/exacerbate respiratory and cardiovascular diseases by triggering various biological pathways.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".