解决对毒理学的代谢学陷:呼吁标准化,可重复性和数据共享
Min Nian1, Xing Chen1, Mingliang Fang1
1Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
Chemical research in toxicology
|July 7, 2025
概括
代谢学提供了有价值的毒理学见解,但在数据质量和分析方面面临挑战. 标准化方法和增强数据共享可以提高生物标志物发现和毒素机制阐明的可靠性.
科学领域:
- 毒理学 毒理学 毒理学
- 代谢学 代谢学 代谢学
- 生物化学 生物化学
背景情况:
- 代谢学提供了对有毒物质诱导的生物化学破坏的独特见解.
- 目前的应用面临挑战,包括代谢物错误注释,不充分的QA/QC和有限的剂量反应研究.
- 途径分析经常受到不完整的数据库和不相关的背景代谢物的损害.
研究的目的:
- 为了解决将代谢学应用于毒理学的局限性和陷.
- 提高从毒理代谢学研究中获得的可靠性和机制性见解.
- 促进毒理学研究和环境健康评估的进步.
主要方法:
- 标准化用于样品准备,分析工作流程和数据处理的协议.
- 实施严格的质量保证和质量控制 (QA/QC) 实践.
- 与转录组学和蛋白质组学交叉验证,以及全面的数据共享.
主要成果:
- 解决已识别的陷可以显著提高在毒理学中代谢组的可靠性.
- 标准化的协议和强大的质量保证/质量控制将批量效应降至最低,并提高可重复性.
- 数据共享和交叉验证加强了机制性见解和生物标志物识别.
结论:
- 标准化代谢学工作流程和严格的质量保证/质量控制对于可靠的毒理学研究至关重要.
- 将代谢学与其他代谢学相结合,并促进数据共享,可以提高对毒性机制的理解.
- 改进的代谢学应用将促进早期生物标志物识别和环境健康评估.
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