Bibliographic record
Abstract
Reactive Oxygen Species (ROS) are chemically reactive molecules that contain oxygen. ROS are naturally generated as a byproduct during mitochondrial oxidative metabolism as well as by cellular responses to a variety of inflammatory stimuli. Intracellularly formed ROS plays an important role in maintaining homeostasis and in cell signaling but, ROS are challenging to quantify. Phagocytic cells such as macrophages may produce H2O2 during the action of bacterial engulfment. Here UV-Vis versus LC-ESI-MS detection methods for an enzyme-linked, cellular assay of H2O2 production in cultured macrophages are compared. In the presence of Horseradish Peroxidase (HRP), Amplex Red (AR) reacts with H2O2 in a 1:1 stoichiometry to produce the red-fluorescent oxidation product resorufin that can be measured by UV/Vis at an absorbance of 570 nm or by LC-ESI-MS at 214 m/z [M+H]+. RAW 264.7 macrophages were stimulated by microscopic foreign particles, with the addition of 0.1mM of Amplex Red substrate and 10 ng/mL of HRP to the cellular media to enzymatically detect H2O2 production. The oxidation product resorufin can be detected by the colorimetric method as low as 50 pmol while liquid chromatography with electrospray ionization and mass spectrometry (LC-ESI-MS) was able to detect as little as 0.2 pmol in vitro. Thus, it was possible to measure low levels of H2O2 released by cells using an enzyme coupled cellular assay with LC-ESI-MS.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.008 |
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".