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一个优化的斑马鱼肥胖基因测试协议与基于人工智能的分析软件用于选肥胖基因和抗肥胖基因
Sara Al Kassir1, Théo Mercé1, Sandra Pedemay1
1MRGM, INSERM U1211, University of Bordeaux, Pessac F-33615, France.
Biology methods & protocols
|August 13, 2025
概括
一个新的斑马鱼肥胖性测试 (ZOT) 协议量化了化学物质和饮食如何影响斑马鱼幼虫的白色脂肪组织 (WAT). 该方法有助于评估肥胖原和抗肥胖原的环境和人类健康风险评估.
科学领域:
- 内分泌学 在内分泌学.
- 毒理学 毒理学 毒理学
- 发展生物学 发展生物学
背景情况:
- 肥胖是一种复杂的疾病,与过度的身体脂肪积累有关.
- 内分泌干扰物,称为肥胖原体,与肥胖率的上升有关.
- 斑马鱼幼虫提供了一个透明的脊椎动物模型来研究脂肪细胞动态和肥胖.
研究的目的:
- 为了呈现一个详细的,优化的斑马鱼肥胖性测试 (ZOT) 协议.
- 为了能够评估斑马鱼幼虫的白脂肪组织 (WAT) 水平上的肥胖原和抗肥胖原.
- 为高通量查提供定量体内试验.
主要方法:
- 关于斑马鱼幼虫的养和养,已制定了动物技术指南.
- 在体内优化尼罗河红色染色用于脂肪细胞中的脂质滴.
- 开发了使用深度学习软件进行ZOT分析的自动化图像处理.
- 定义了用于皮下WAT的显微镜采集协议.
主要成果:
- 该ZOT协议有效地区分了方法变异性和生物效应.
- 该试验具有特异性,灵敏性和稳定性,用于对脂肪细胞缩/低缩的定量分析.
- 该方法允许评估饮食,药物和环境污染物作为肥胖原或抗肥胖原.
结论:
- 该ZOT协议提供了一个可靠的工具,用于对影响脂肪的化合物的高通量选.
- 这种测试为与肥胖有关的环境和人类健康风险评估提供了宝贵的见解.
- 标准化的协议提高了研究体内肥胖效应的可复制性.
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