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首页> 外文期刊>Journal of Fluorescence >Optimization of the Near-Infrared Fluorescence Labeling for In Vivo Monitoring of a Protein Drug Distribution in Animal Model
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Optimization of the Near-Infrared Fluorescence Labeling for In Vivo Monitoring of a Protein Drug Distribution in Animal Model

机译:用于动物模型中蛋白质药物分布体内监测的近红外荧光标记的优化

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摘要

The objective of this study is to optimize the parameters in labeling near-infrared (NIR)fluorescent dye cypate to protein drugs for in vivo optical imaging of drug distributions in animal model. l-ASparaginase (l-ASNase) was used as a protein drug model for the study. To achieve this goal, various labeling conditions, including different catalysts, feed ratios of all components, pH conditions, temperatures, and reacting durations, were investigated. The dye-to-protein (D/P) ratio and enzymatic activity were designated as the metric to evaluate the labeling process. The stability of the cypate-protein conjugate in blood serum and its distribution in small animals were subsequently inspected. Results showed that feed ratio of l-ASNase and the pH value played the most important role in adjusting the labeling efficiency. Reaction duration and temperature had less effect on the dye-to-protein labeling properties. The optimal condition for the labeling of cypate to l-ASNase was 4 h reaction duration at 4 degrees C and pH 8.5 under catalysis by HOBt/HBTU. The dynamic distribution in animal model displayed that the labeled l-ASNase firstly accumulated in liver and cleared from the enteron system. This study demonstrated that the NIR image system combined with NIR probe has the capability to trace the dynamics of protein drugs in animals for drug development.
机译:这项研究的目的是优化将近红外(NIR)荧光染料标记为蛋白药物的参数,以对动物模型中的药物分布进行体内光学成像。 1-ASparaginase(1-ASNase)被用作研究的蛋白质药物模型。为了实现这一目标,研究了各种标记条件,包括不同的催化剂,所有组分的进料比,pH条件,温度和反应持续时间。染料与蛋白质(D / P)的比例和酶活性被指定为评估标记过程的指标。随后检查了cypate-protein缀合物在血清中的稳定性及其在小动物中的分布。结果表明,l-ASNase的进料比和pH值在调节标记效率中起着最重要的作用。反应时间和温度对染料-蛋白质标记特性的影响较小。在HOBt / HBTU催化下,将胞苷标记为I-ASNase的最佳条件是在4摄氏度和pH值为8.5的条件下反应4小时。动物模型中的动态分布表明,标记的l-ASNase首先在肝脏中积累并从肠系统清除。这项研究表明,结合近红外探针的近红外图像系统具有追踪动物体内蛋白质药物动力学以进行药物开发的能力。

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