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量化细胞穿透肽-货物超分子复合物在脂质膜中的分子分配:优化基于肽的药物传递系统。

Quantifying molecular partition of cell-penetrating peptide-cargo supramolecular complexes into lipid membranes: optimizing peptide-based drug delivery systems.

机构信息

Instituto de Medicina Molecular, University of Lisbon, Physical Biochemistry Unit, Lisbon, Portugal.

出版信息

J Pept Sci. 2013 Apr;19(4):182-9. doi: 10.1002/psc.2477. Epub 2013 Jan 16.

DOI:10.1002/psc.2477
PMID:23322613
Abstract

One of the major challenges in the drug development process is biodistribution across epithelia and intracellular drug targeting. Cellular membrane heterogeneity is one of the major drawbacks in developing efficient and sustainable drug delivery systems, which brings the need to study their interaction with lipids in order to unravel their mechanisms of action and improve their delivery capacities. Cell penetrating peptides (CPPs) are able to translocate almost any cell membrane carrying cargo molecules. However, different CPP use different entry mechanisms, which are often concentration-dependent and cargo-dependent. Being able to quantify the lipid affinity of CPP is of obvious importance and can be achieved by studying the partition extent of CPP into lipid bilayers. The partition constant (Kp) reflects the lipid-water partition extent. However, all currently available methodologies are only suitable to determine the partition of single molecules into lipid membranes or entities, being unsuitable to determine the partition of bimolecular or higher order supramolecular complexes. We derived and tested a mathematical model to determine the Kp of supramolecular CPP-cargo complexes from fluorescence spectroscopy data, using DNA oligomers as a model cargo. As a proof-of-concept example, the partition extent of two new membrane active peptides derived from dengue virus capsid protein (DENV C protein) with potential CPP properties, in both scenarios (free peptide and complexed with a molecular cargo), were tested. We were able to identify the lipid affinity of these CPP:DNA complexes, thus gaining valuable insights into better CPP formulations.

摘要

药物开发过程中的主要挑战之一是跨上皮细胞和细胞内药物靶向的生物分布。细胞膜异质性是开发高效和可持续药物输送系统的主要缺点之一,这就需要研究它们与脂质的相互作用,以揭示其作用机制并提高其输送能力。细胞穿透肽(CPPs)能够转运几乎任何携带货物分子的细胞膜。然而,不同的 CPP 使用不同的进入机制,这些机制通常是浓度依赖性和货物依赖性的。能够定量 CPP 的脂质亲和力非常重要,可以通过研究 CPP 进入脂质双层的分配程度来实现。分配常数(Kp)反映了 CPP 在油水分配中的程度。然而,目前所有可用的方法学都只适用于确定单个分子进入脂质膜或实体的分配,不适合确定双分子或更高阶超分子复合物的分配。我们推导并测试了一种数学模型,从荧光光谱数据中确定超分子 CPP-货物复合物的 Kp,使用 DNA 寡核苷酸作为模型货物。作为概念验证示例,测试了源自登革热病毒衣壳蛋白(DENV C 蛋白)的两种具有潜在 CPP 特性的新膜活性肽在两种情况下(游离肽和与分子货物复合)的分配程度。我们能够确定这些 CPP:DNA 复合物的脂质亲和力,从而深入了解更好的 CPP 配方。

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Quantifying molecular partition of cell-penetrating peptide-cargo supramolecular complexes into lipid membranes: optimizing peptide-based drug delivery systems.量化细胞穿透肽-货物超分子复合物在脂质膜中的分子分配:优化基于肽的药物传递系统。
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PLoS One. 2013 Dec 5;8(12):e81450. doi: 10.1371/journal.pone.0081450. eCollection 2013.