Toxicological Response of the BEAS‐2B Cell After Acute Exposure at the Air–Liquid Interface to Ethylbenzene and <i>m</i> ‐Xylene Alone and in Binary Mixtures
Bibliographic record
Abstract
Benzene, toluene, ethylbenzene, and xylenes (o-, m-, and p-xylenes) constitute a family, named BTEX, of volatile organic compounds (VOCs) known for its toxicity. This study aimed to study the acute in vitro toxicity of ethylbenzene and m-xylene on human bronchial epithelial cells exposed at the air-liquid interface (ALI). The cells were exposed to VOCs alone and in a mixture for 1 h, followed by 5, 23, and 47 h of incubation. The kinetics of the cell response was characterized, including cytotoxicity, xenobiotic biotransformation, antioxidant defense system, inflammatory response, and apoptosis. The gene expression results showed major differences between these two compounds, even though their chemical structure is very similar. Ethylbenzene did not appear to be metabolized in BEAS-2B cells, as it inhibited gene expression of xenobiotic metabolizing enzymes (XME) and did not induce antioxidant defense systems or apoptosis. However, a slight inflammatory response was observed after exposure. m-Xylene was metabolized in BEAS-2B cells, inducing several XMEs and upregulating enzymes involved in the antioxidant defense system, as well as markers of inflammation and apoptosis. Co-exposure to the binary mixture resulted in an inhibition phenomenon, resulting in the inhibition of toxic action mechanisms studied. The results provide new information on the toxicity of ethylbenzene and m-xylene and highlight the importance of conducting ALI exposures to mixtures of toxicants.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".