Spectrophotometric Analysis of Human CY P2El -Catalyzed pNitrophenol Hydroxylation
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Bibliographic record
Abstract
CYP2E1 is expressed in adult (1, 2) and fetal (3) human liver in addition to extrahepatic tissues such as lung and placenta (4). Treatment of primary cultures of human hepatocytes with ethanol induces CYP2E1 protein (5) and this is consistent with the finding that hepatic CYP2El protein (6) and mRNA (7) amounts are increased in alcoholics. Although only a few drugs (e.g., acetaminophen [8]) have been identified as substrates for CYP2E1, many low molecular weight procarcinogens are activated by this P450 (9). Chlorzoxazone 6-hydroxylation (19–12), N-nitrosodimethylamine N-demethylation (11, 13, 14), and p-nitrophenol hydroxylation (12, 14) reactions can be used to measure the catalytic activity of cDNA-expressed CYP2El. Each of these activities is also frequently used as an enzyme-selective catalytic monitor for human hepatic CYP2El (see Notes 1 and 2). Experiments with inhibitory antiCYP2E1 antibodies and CYP2E1-selective chemical inhibitors suggest that CYP2E1 contributes extensively to these activities in human liver microsomes (9, 15–18). Recently, lauric acid 11 -hydroxylation was identified as an alternative probe for human hepatic CY2El (19). However, an advantage of using p-nitrophenol hydroxylation to measure CYP2E1 activity is that the formation of p-nitrocatechol can be measured by a simple spectrophotometric assay, although high-performance liquid chromatographic (HPLC) assays have also been developed to quantify thep-nitrocatechol metabolite (20, 21). This chapter describes a modification of a spectrophotometric method (22) for the determination of p-nitrophenol hydroxylase activity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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