T. Nguyen, T. Itayama, N. Iwami, K. Shimizu, T. Dao, T. Pham, H. Maseda
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引用次数: 1
摘要
由于德拉沙星在酸性环境中具有强大的抗菌活性,并且对旧的氟喹诺酮耐药菌株有效,预计未来几年德拉沙星(DFX)的使用将会增加。本研究采用基于贝叶斯统计的线性模型,研究了DFX(0、100、200和400µg L−1)和Ca(26和78 mg L−1)联合暴露对水蚤Simocephalus vetulus胸肢率(TLR)的影响。结果显示,在26 mg Ca L−1的DFX环境中,母鼠的TLR出现了意想不到的上升和下降。在78 mg Ca L−1的情况下,我们发现DFX治疗期间TLR下降更明显。此外,在26 mg Ca L−1条件下,母鼠暴露于DFX的新生儿的TLR发生了难以捉摸的变化,而当母鼠暴露于400µg DFX L−1条件下,新生儿的TLR明显降低。虽然Ca含量升高似乎对生物体的TLR没有明显的影响,但它与DFX一起起协同作用,导致TLR减少,其潜在机制尚不清楚。本研究结果表明,DFX作为一种外源生物可能具有生态风险;因此,应综合考虑特定水生环境中Ca的丰度,进行综合生态风险评估。此外,强烈建议将贝叶斯统计纳入生态毒理学研究,以改善数据分析和解释。
Thoracic limb activity of Simocephalus vetulus and its descendants is shaped by the combination of delafloxacin and calcium
Abstract Due to its robust antibacterial activity in acidic environments and effectiveness against old fluoroquinolone-resistant bacterial strains, the use of delafloxacin (DFX) is projected to increase in the coming years. Here, we investigated the effect on the thoracic limb rate (TLR) of the water flea Simocephalus vetulus under the combined exposure of DFX (0, 100, 200, and 400 µg L−1) and calcium (Ca) (26 and 78 mg L−1) using Bayesian statistics-based linear models. The findings showed unexpected increases and decreases in the TLR of maternal S. vetulus exposed to DFX in the 26 mg Ca L−1. In the 78 mg Ca L−1 condition, we found a clearer decrease in TLR during DFX treatments. In addition, in the 26 mg Ca L−1, elusive changes in the TLR of neonatal S. vetulus whose mothers were exposed to DFX were observed, whereas the reduced TLR of the neonate, whose mother was exposed to 400 µg DFX L−1, was apparent in the higher Ca condition. While the elevated Ca content did not appear to have a clear effect on organisms’ TLR, it acted as a synergist in conjunction with DFX, leading to a reduction in TLR, the underlying mechanism of which remains poorly understood. The results of our study indicate that DFX may pose an ecological risk as a xenobiotic; therefore, taking into account the abundance of Ca in specific aquatic environments, a comprehensive ecological risk assessment should be conducted. Moreover, the inclusion of Bayesian statistics in ecotoxicological studies is highly recommended to improve data analysis and interpretation.