Bioaccumulation and toxicity of imatinib, cyclophosphamide and its transformation product carboxyphosphamide in the freshwater mussel Elliptio complanata
Bibliographic record
Abstract
Pharmaceutical compounds primarily enter the environment through wastewater treatment plants, where they are not completely removed. Antineoplastic drugs, such as cyclophosphamide and imatinib, are particularly concerning due to their cytotoxic effects at low concentrations. The purpose of this study was to determine the bioavailability and toxicity of these 2 drugs to freshwater mussels, known to thrive in urban areas. Freshwater mussels Elliptio complanata were exposed to increasing concentrations (4, 20, and 100 µgL− 1) of cyclophosphamide and imatinib for 96 h at 15 °C. Although a low bioaccumulation factor of 0.27 was measured for cyclophosphamide, its level in tissues was correlated with lipid peroxidation in gonads and gonadosomatic index (GSI), which could suggest that it is involved in oxidative stress and increased GSI. The metabolite carboxyphosphamide was never detected in mussel tissue. Imatinib was more bioavailable with a measured bioaccumulation factor of 2.3. Tissue levels of imatinib were correlated with DNA damage (DNAd) in both the digestive gland and gonads while decreased acetylcholine esterase activity was observed, suggesting that it is involved in decreased neural activity and DNAd in mussels. Based on these findings, imatinib could disrupt the repair of oxidized DNAd, leading to the accumulation of alkali-labile sites in DNA. While the short-term exposures resulted in low cytostatic concentrations in mussel tissues, chronic exposure from continuous wastewater releases with the rising use of cytostatic drugs for cancer treatments could still pose a potential environmental risk that warrants further investigation.
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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 | 0.000 |
| 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) | 0.000 | 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".