Stadnicka-Michalak Julita, Schirmer Kristin, Ashauer Roman
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland. ; School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland. ; School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. ; ETH (Eidgenössische Technische Hochschule) Zürich, Institute of Biogeochemistry and Pollutant Dynamics, 8092 Zürich, Switzerland.
Sci Adv. 2015 Aug 7;1(7):e1500302. doi: 10.1126/sciadv.1500302. eCollection 2015 Aug.
Environmental risk assessment of chemicals is essential but often relies on ethically controversial and expensive methods. We show that tests using cell cultures, combined with modeling of toxicological effects, can replace tests with juvenile fish. Hundreds of thousands of fish at this developmental stage are annually used to assess the influence of chemicals on growth. Juveniles are more sensitive than adult fish, and their growth can affect their chances to survive and reproduce. Thus, to reduce the number of fish used for such tests, we propose a method that can quantitatively predict chemical impact on fish growth based on in vitro data. Our model predicts reduced fish growth in two fish species in excellent agreement with measured in vivo data of two pesticides. This promising step toward alternatives to fish toxicity testing is simple, inexpensive, and fast and only requires in vitro data for model calibration.
化学品的环境风险评估至关重要，但通常依赖于存在伦理争议且成本高昂的方法。我们表明，使用细胞培养的测试，结合毒理学效应建模，可以替代幼鱼测试。每年都有成千上万处于这个发育阶段的鱼被用于评估化学品对生长的影响。幼鱼比成年鱼更敏感，它们的生长会影响其生存和繁殖的机会。因此，为了减少用于此类测试的鱼的数量，我们提出了一种方法，该方法可以基于体外数据定量预测化学品对鱼类生长的影响。我们的模型预测两种鱼类的生长会减少，这与两种农药的体内实测数据高度吻合。这一朝着鱼类毒性测试替代方法迈出的有前景的一步简单、廉价且快速，仅需要体外数据用于模型校准。
