Roell Kyle R, Reif David M, Motsinger-Reif Alison A
Bioinformatics Research Center, North Carolina State UniversityRaleigh, NC, USA.
Department of Biological Sciences, North Carolina State UniversityRaleigh, NC, USA.
Front Pharmacol. 2017 Apr 20;8:158. doi: 10.3389/fphar.2017.00158. eCollection 2017.
The idea of synergistic interactions between drugs and chemicals has been an important issue in the biomedical world for over a century. As complex diseases, especially cancer, are being treated with various drug cocktails, understanding the interactions among these drugs is increasingly vital to ensuring successful treatment regimens. However, the idea of synergy is not limited to only the biomedical realm and these ideas have developed across many different disciplines, as well. In this review, we first discuss the various terminology surrounding the idea of synergy, providing a comprehensive list of terms defined across numerous disciplines. We then review the most common methodology for detection and quantification of synergy, including the two most prominent reference models for describing additive interactions: Loewe Additivity and Bliss Independence. We also discuss advantages and limitations to each method, with a focus on the Chou-Talalay Combination Index method. Finally, we describe how methods development and terminology have developed among disciplines outside of biomedicine and pharmacology, to synthesize the literature for readers.
药物与化学物质之间协同相互作用的概念在生物医学领域已成为一个重要问题长达一个多世纪。由于复杂疾病,尤其是癌症,正通过各种药物组合进行治疗,了解这些药物之间的相互作用对于确保成功的治疗方案变得越来越重要。然而,协同作用的概念并不局限于生物医学领域,这些概念也在许多不同学科中得到了发展。在这篇综述中,我们首先讨论围绕协同作用概念的各种术语,提供在众多学科中定义的术语的全面列表。然后,我们回顾检测和量化协同作用的最常见方法,包括描述加性相互作用的两个最突出的参考模型:Loewe加性和Bliss独立性。我们还讨论了每种方法的优点和局限性,重点是Chou-Talalay联合指数法。最后,我们描述了生物医学和药理学之外的学科中方法开发和术语是如何发展的,以便为读者综合文献。