Isomer-Specific Biotransformation Rates of a Perfluorooctane Sulfonate (PFOS)-Precursor by Cytochrome P450 Isozymes and Human Liver Microsomes
Bibliographic record
Abstract
The exposure sources of perfluorooctane sulfonate (PFOS) in humans and wildlife are not well characterized. Human biomonitoring data show that PFOS profiles may consist of up to approximately 50% branched isomers, despite the fact that historical direct manufacturing of PFOS generally resulted in products containing no more than approximately 30% branched isomers. These observations cannot be explained based on what is known about the pharmacokinetics of branched PFOS isomers; thus, here we examined the relative isomer-specific biotransformation rates of a model PFOS-precursor (N-ethylperfluorooctane sulfonamide, NEtFOSA) with human microsomes and recombinant human cytochrome P450s (CYPs) 2C9 and 2C19. Using solid phase microextraction-gas chromatography-electron capture detection to monitor NEtFOSA disappearance, and liquid chromatography-tandem mass spectrometry to monitor product formation, we showed that, in general, human microsomes and CYP isozymes transformed the branched isomers more rapidly than linear NEtFOSA. Among branched isomers, perfluoroalkyl branching geometry significantly influenced the rate of biotransformation. As a result, PFOS isomer patterns in biota exposed predominantly to precursors could be much different than expected from the isomer pattern of the precursor. While these data are suggestive that the relatively high abundance of branched PFOS isomers present in some humans, or wildlife, may be explained by substantial exposure to PFOS-precursors, in vivo studies with other relevant PFOS-precursors are warranted to validate this as a biomarker of exposure source.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".