School of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
Biomacromolecules. 2021 Nov 8;22(11):4459-4469. doi: 10.1021/acs.biomac.1c00434. Epub 2021 Sep 8.
The past decades have seen significant research effort in the field of polymers for a range of biomedical applications, driven by the promising prospect of these materials for realizing next generation therapeutics in the clinic. In this regard, it is widely accepted that polymer properties such as chemistry, charge, and block composition, as well as properties of their self-assemblies including size, shape, surface chemistry, and biodegradation, all influence and direct their interactions with cells and biological membranes. In particular, polymer hydrophobicity is a property of interest, with growing evidence demonstrating the significant impact that hydrophobic interactions with lipid membranes and proteins can have on biomaterial application efficacy within the body. However, to date, this phenomenon has been relatively underexplored, and therefore there exists no clear universal understanding to direct polymer design. In this Perspective, we highlight important contributions to this field, focusing on seminal studies which investigate experimentally and theoretically how incorporation of hydrophobic moieties within polymer systems can influence their ultimate properties when used in biomedical applications. In this way, we aim to signify future directions in the design of highly performing polymers for biomedicine, making a case for the importance of standardized computational modeling to achieve widely applicable conclusions and facilitate future translational efforts.
在过去的几十年中,由于这些材料有望在临床上实现下一代治疗方法,因此在聚合物领域进行了大量的研究工作,用于各种生物医学应用。在这方面,人们普遍认为聚合物的性质,如化学性质、电荷和嵌段组成,以及它们的自组装的性质,包括大小、形状、表面化学和生物降解性,都会影响并指导它们与细胞和生物膜的相互作用。特别是,聚合物的疏水性是一个感兴趣的性质,越来越多的证据表明,与脂质膜和蛋白质的疏水性相互作用对生物材料在体内的应用效果有重大影响。然而,迄今为止,这一现象还相对没有得到充分的研究,因此,对于指导聚合物设计,目前还没有明确的普遍认识。在本观点中,我们强调了该领域的重要贡献,重点介绍了开创性的研究,这些研究从实验和理论上探讨了在生物医学应用中,将疏水性基团纳入聚合物系统如何影响其最终性能。通过这种方式,我们旨在为生物医学用高性能聚合物的设计指明未来的方向,强调标准化计算建模的重要性,以得出广泛适用的结论,并促进未来的转化研究。