Pharmaceutical Research and Development, BioTherapeutics Pharmaceutical Sciences, Pfizer, Andover, Massachusetts, USA.
Protein Sci. 2013 Aug;22(8):1118-23. doi: 10.1002/pro.2289. Epub 2013 Jun 24.
Previous publications demonstrated that the extrapolated solubility by polyethylene glycol (PEG) precipitation method (Middaugh et al., J Biol Chem 1979; 254:367-370; Juckes, Biochim Biophys Acta 1971; 229:535-546; Foster et al., Biochim Biophys Acta 1973; 317:505; Mahadevan and Hall, AIChE J 1990; 36:1517-1528; Stevenson and Hageman, Pharm Res 1995; 12:1671-1676) has a strong correlation to experimentally measured solubility of proteins. Here, we explored the utility of extrapolated solubility as a method to compare multiple protein drug candidates when nonideality of a highly soluble protein prohibits accurate quantitative solubility prediction. To achieve high efficiency and reduce the amount of protein required, the method is miniaturized to microwell plate format for high-throughput screening application. In this simplified version of the method, comparative solubility of proteins can be obtained without the need of concentration measurement of the supernatant following the precipitation step in the conventional method. The monoclonal antibodies with the lowest apparent solubilities determined by this method are the most difficult to be concentrated, indicating a good correlation between the prediction and empirical observations. This study also shows that the PEG precipitation method gives results for opalescence prediction that favorably compares to experimentally determined opalescence levels at high concentration. This approach may be useful in detecting proteins with potential solubility and opalescence problems prior to the time-consuming and expensive development process of high concentration formulation.
先前的出版物表明,聚乙二醇(PEG)沉淀法(Middaugh 等人,J Biol Chem 1979;254:367-370;Juckes,Biochim Biophys Acta 1971;229:535-546;Foster 等人,Biochim Biophys Acta 1973;317:505;Mahadevan 和 Hall,AIChE J 1990;36:1517-1528;Stevenson 和 Hageman,Pharm Res 1995;12:1671-1676)预测的溶解度与蛋白质的实验测量溶解度具有很强的相关性。在这里,当高溶解度蛋白质的非理想性阻止了准确的定量溶解度预测时,我们探索了预测溶解度作为比较多种蛋白质候选药物的方法的实用性。为了实现高效率并减少所需蛋白质的量,该方法被微型化为微孔板格式,用于高通量筛选应用。在这种方法的简化版本中,不需要在常规方法的沉淀步骤后测量上清液的浓度,就可以获得蛋白质的比较溶解度。通过这种方法确定的表观溶解度最低的单克隆抗体最难浓缩,表明预测与经验观察之间存在良好的相关性。这项研究还表明,PEG 沉淀法在高浓度下预测浊度的结果与实验确定的浊度水平相当。在高浓度制剂的耗时且昂贵的开发过程之前,这种方法可能有助于检测具有潜在溶解度和浊度问题的蛋白质。