Altered Fatty Acid Homeostasis and Related Toxicologic Sequelae in Rats Exposed to Dietary Potassium Perfluorooctanesulfonate (PFOS)
Bibliographic record
Abstract
Perfluorooctanesulfonate (PFOS) is one of a class of industrial chemicals known as perfluoroalkyl acids, which have a wide variety of uses as surfactants and stain repellants. The presence of fluorochemical residues in human blood, plasma, or serum from sample populations worldwide is indicative of widespread human exposure. Previous studies demonstrated that PFOS alters fatty acid metabolism in the liver of rodents and that this leads to peroxisome proliferation. This study was undertaken to (1) confirm the effects of PFOS on rat liver, (2) identify additional target organs and systems, and (3) further explore the biochemical and molecular changes associated with PFOS exposure. The results confirmed that liver was a primary target for PFOS. Hepatomegaly, decreased serum triglycerides and cholesterol, and increased expression of the genes for acyl-coenzymeA oxidase 1 (ACOX1) and cytochrome P-450 4A22 (CYP4A22) were indicative of exposure to a peroxisome proliferator. Changes in liver fatty acid profiles included increased total monounsaturated fatty acid levels and decreased total polyunsaturated fatty acids, as well as an increase in linoleic acid levels and a decrease in longer chain fatty acids. These changes were similar to those induced by relatively weak peroxisome proliferators. Disruptions in hepatic fatty acid metabolism may contribute to changes in red blood cell membranes, resulting in increased lysis and cell fragility. Serum thyroid hormone levels were decreased in PFOS-treated rats, while the kidney and cardiovascular systems were not significant targets. Residue analyses indicated that PFOS accumulation in tissues was dose dependent, appearing preferentially in the liver at lower doses but increasing in serum and other organs relative to liver at higher doses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".