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基于动力学和动态计算模型的小鼠新蛋白特征分析:在与载脂蛋白 A-I 相连的干扰素 α 中的应用。

Kinetic and dynamic computational model-based characterization of new proteins in mice: application to interferon alpha linked to apolipoprotein A-I.

机构信息

Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy, University of Navarra, Pamplona, Navarra, Spain.

出版信息

PLoS One. 2012;7(7):e42100. doi: 10.1371/journal.pone.0042100. Epub 2012 Jul 27.

Abstract

Interferon alpha linked to apolipoprotein A-I has been recently proposed as an improved interferon-based therapy. In the present study, we aimed to develop a computational model to gain further insight into the in vivo behaviour of this new fusion protein. In order to facilitate in vivo evaluation of interferon and the fusion protein without altering their biological properties, green fluorescent protein was incorporated into their structures. Kinetic and dynamic behaviour of both compounds was successfully described after plasmid hydrodynamic administration and in situ synthesis of the studied proteins. Results from the modelling exercise showed that apolipoprotein A-I conferred a modified kinetic behaviour, varying molecule distribution and prolonging half-life without altering liver dynamic performance. However, differences in the gene expression activity were observed at brain level between both compounds. Those differences could be explained by modifications in the dynamic, but also in the biodistribution properties, which would be worth evaluating in future experiments. Therefore, the modelling approach provided a global comprehension of a complex system and allowed us to compare the in vivo behaviour of both compounds and to identify critical aspects that might be important to understand the system better and suggests a need for new model-based experiments.

摘要

最近有人提出,将与载脂蛋白 A-I 相连的干扰素 α 作为一种改进的基于干扰素的治疗方法。在本研究中,我们旨在开发一种计算模型,以更深入地了解这种新融合蛋白的体内行为。为了在不改变干扰素和融合蛋白生物学特性的情况下方便体内评估,将绿色荧光蛋白掺入到它们的结构中。在质粒流体动力学给药和研究蛋白的原位合成后,成功地描述了这两种化合物的动力学和动态行为。建模研究结果表明,载脂蛋白 A-I 赋予了一种改良的动力学行为,改变了分子分布并延长了半衰期,而不改变肝脏的动力学性能。然而,在两种化合物之间,在大脑水平上观察到基因表达活性的差异。这些差异可能是由于动态变化,也可能是由于生物分布特性的变化,这在未来的实验中值得评估。因此,该建模方法提供了对复杂系统的全面理解,并允许我们比较两种化合物的体内行为,确定可能有助于更好地理解该系统的关键方面,并提示需要进行新的基于模型的实验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8dc/3407104/296bc9ca2780/pone.0042100.g001.jpg

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