Novel Organophosphate Ester Tris(2,4-di-<i>tert</i>-butylphenyl)phosphate Alters Lipid Metabolism: Insights from Lipidomic Analysis and mRNA Expression
Bibliographic record
Abstract
-butylphenyl)phosphate (TDTBPP), a novel organophosphate ester (OPE), has been extensively detected in various environmental and biological samples; however, its potential biological effects remain unexplored. In this study, we investigated biotransformation characteristics, alteration of lipid metabolism, and mRNA expression in primary mouse hepatocytes (PMHs) following exposure to TDTBPP. After 36-h exposure in PMHs, TDTBPP exhibited a high stability potential with no statistically significant degradation trend. Subsequently, we analyzed the disruption of lipid homeostasis in PMHs following exposure to 0-4.5 μM TDTBPP. Lipidomic analysis indicated that TDTBPP disrupted lipid homeostasis in PMHs, and several lipid classes were dysregulated, in particular, glycerolipids and glycerophospholipids. Additionally, three lipids were proposed as potential lipid biomarkers of TDTBPP exposure, including triglycerides (TGs) and phosphatidylcholines (PCs). These observations were further supported by transcriptional changes, with significant alteration observed in genes associated with lipid uptake, de novo lipogenesis, β-oxidation of fatty acids, glycerolipid metabolism, and lipid export. Overall, these findings highlight the detrimental effects of TDTBPP on lipid homeostasis, providing important insights for health risk assessments of this abundant OPE in the environment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".