Effects of 18 Perfluoroalkyl Compounds on mRNA Expression in Chicken Embryo Hepatocyte Cultures
Bibliographic record
Abstract
Many studies have characterized the effects of perfluoroalkyl compounds (PFCs) in mammalian species, but limited information exists on the effects of PFCs in birds. PFCs have been detected in serum and liver of avian wildlife worldwide. While the molecular mechanisms have yet to be elucidated in detail, PFCs alter lipid metabolism through peroxisome proliferation, xenobiotic metabolism by activating the cytochrome P450 (CYP) system, and serum cholesterol levels by inducing or repressing key genes. Here, we employed a simple messenger RNA (mRNA) screening method using quantitative PCR to assess the effects of PFCs on mRNA expression in chicken embryo hepatocytes (CEH). CEH cultures were treated with perfluoroalkyl sulfonates and perfluoroalkyl carboxylates of varying chain lengths and linear or technical grade potassium perfluoro-1-octane sulfonate (L-PFOS and T-PFOS). T-PFOS comprised 80% perfluorooctane sulfonate isomers (62% linear) and various PFCs and inorganic salts. Relative mRNA expression levels of the following genes were examined: acyl-CoA oxidase (ACOX), liver fatty acid-binding protein (L-FABP), CYP1A4/1A5 and CYP4B1, 3-hydroxy-3-methylglutaryl-Coenzyme A (HMG-CoA) reductase, and sterol regulatory element-binding protein 2 (SREBP2). Compared to L-PFOS, T-PFOS altered the mRNA expression level of more genes and produced greater fold changes. L-FABP was upregulated by PFCs greater than or equal to eight carbons, while CYPs were upregulated by PFCs less than or equal to eight carbons. ACOX, HMG-CoA, and SREBP2 showed little to no change following PFC exposure. This study is the first to expose CEH cultures to multiple PFCs in vitro and demonstrates that exposure to PFC solutions of different isomeric content or chain length causes variable transcriptional responses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".