从离散的橄乙两组装的数字纳米棒的无标签量化
Qiangqiang Shi1, Chengzhou Song1, Minglong Chen1
1Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, and Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui Province 230026, China.
Journal of the American Chemical Society
|October 12, 2023
概括
研究人员开发了一种使用质谱测量来追踪聚合物纳米粒子 (NP) 的无标签方法. 这种技术准确地评估了纳米粒子的生物分布,并揭示了表面化学如何影响它们的体内行为.
科学领域:
- 纳米医学和药物输送
- 材料科学
- 分析化学
背景情况:
- 聚合纳米颗粒 (NP) 对于透剂的输送至关重要.
- 现有的追踪方法 (光,同位素标记) 可以改变NP特性,损害生物分布数据.
- 需要一种无标签的量化方法来准确评估聚合物NP的行为.
研究的目的:
- 开发一种无标签的技术来量化聚合物纳米棒 (NR).
- 研究表面功能组对NR药理动力学和生物分布的影响.
- 了解蛋白质冠状形成如何影响NRs的生物命运.
主要方法:
- 与甲氧基 (OMe),基 (OH) 和马利胺基 (MI) 分离的离散氨酸两性物 (DOA) 的合成
- 自组装和协同组装DOA以形成具有不同的表面组的四种数字纳米棒 (NR).
- 使用矩阵辅助激光脱离离离离离离飞行时间质谱法 (MALDI-TOF MS) 量化NR.
- 在静脉注射后进行体内药物动力学,生物分布和蛋白质组学研究.
主要成果:
- 在没有标签的情况下成功创建和量化了四种不同表面功能组的NR.
- OMe-MI NRs显示出更好的血液循环,而OH-MI NRs则显示出曲线下的最大面积 (AUC).
- 与没有MI的NR相比,含MI的NR通常呈现出较低的肝脏和脏积累.
- 鉴定出不同的蛋白质冠状体,影响NR的生物行为.
结论:
- 一种新的无标签MALDI-TOFMS方法可以准确量化聚合NR的药理动力学和生物分布.
- 表面功能组显著影响聚合物NP的体内行为和命运.
- 这种方法克服了NP追踪传统标签技术的局限性.
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