基于网络药理学分析,预测抗抑郁药作为鱼类中新出现的污染物所带来的潜在风险
Jinru Zhao1, Jian Gao1, Sijia Ma1
1Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan, China.
概括
全球范围内在水中检测到抗抑郁药,造成环境风险. 这项研究预测了这些制药新兴污染物 (PEC) 在现实的度下对鱼类健康的影响,并确定了关键的生物目标.
科学领域:
- 环境化学环境化学
- 药理学 药理学是指药理学的学科.
- 生态毒理学 生态毒理学
背景情况:
- 抗抑郁药物是复杂的药理学特征的常见制药新兴污染物 (PEC).
- 在50个国家的水中发现了39种抗抑郁药的全球检测,突出了广泛的环境存在.
研究的目的:
- 分析抗抑郁药在鱼类中的潜在环境风险和健康影响.
- 用in silico方法预测暴露于抗抑郁药物及其混合物的鱼类中的不良表型.
- 为水生生态系统中的抗抑郁药物建立一个基于环境风险的网络.
主要方法:
- 基于网络药理学的分析.
- 在不良表型的In silico预测.
- 鱼类血模型用于估计血液度的应用.
- 开发基于危险和基于环境风险的生物活性网络.
主要成果:
- 全球39种抗抑郁药中24种在水中检测到.
- 在中国,预测的鱼类血液度在37.89至16,772.05 ng/L之间.
- 11个关键目标,包括特定的受体,可以通过环境抗抑郁药度来调节.
- 环境相关度的抗抑郁药可能会影响鱼类的行为,压力,光毒性和发育.
结论:
- 网络药理学有效地确定了抗抑郁药对水生生物的潜在风险.
- 环境中的抗抑郁药度可以调节鱼类中的关键生物标.
- 抗抑郁药物污染对鱼类健康和生态系统功能构成重大风险.
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