Beppler Casey, Tekin Elif, White Cynthia, Mao Zhiyuan, Miller Jeffrey H, Damoiseaux Robert, Savage Van M, Yeh Pamela J
Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA.
Department of Biomathematics, University of California, David Geffen School of Medicine, Los Angeles, CA, USA.
BMC Microbiol. 2017 May 6;17(1):107. doi: 10.1186/s12866-017-1017-3.
In drug-drug interactions, there are surprising cases in which the growth inhibition of bacteria by a single antibiotic decreases when a second antibiotic is added. These interactions are termed suppressive and have been argued to have the potential to limit the evolution of resistance. Nevertheless, little attention has been given to suppressive interactions because clinical studies typically search for increases in killing efficiency and because suppressive interactions are believed to be rare based on pairwise studies.
Here, we quantify the effects of single-, double-, and triple-drug combinations from a set of 14 antibiotics and 3 bacteria strains, totaling 364 unique three-drug combinations per bacteria strain. We find that increasing the number of drugs can increase the prevalence of suppressive interactions: 17% of three-drug combinations are suppressive compared to 5% of two-drug combinations in this study. Most cases of suppression we find (97%) are "hidden" cases for which the triple-drug bacterial growth is less than the single-drug treatments but exceeds that of a pairwise combination.
We find a surprising number of suppressive interactions in higher-order drug combinations. Without examining lower-order (pairwise) bacterial growth, emergent suppressive effects would be missed, potentially affecting our understanding of evolution of resistance and treatment strategies for resistant pathogens. These findings suggest that careful examination of the full factorial of drug combinations is needed to uncover suppressive interactions in higher-order combinations.
在药物相互作用中,存在一些令人惊讶的情况,即当添加第二种抗生素时,单一抗生素对细菌的生长抑制作用会减弱。这些相互作用被称为抑制性相互作用,有人认为它们有可能限制耐药性的进化。然而,抑制性相互作用很少受到关注,因为临床研究通常关注杀菌效率的提高,而且基于成对研究,人们认为抑制性相互作用很少见。
在这里,我们对一组14种抗生素和3种细菌菌株的单药、双药和三药组合的效果进行了量化,每种细菌菌株共有364种独特的三药组合。我们发现增加药物数量会增加抑制性相互作用的发生率:在本研究中,17%的三药组合具有抑制性,而双药组合的这一比例为5%。我们发现的大多数抑制情况(97%)是“隐藏”情况,即三药组合下的细菌生长低于单药治疗,但超过了成对组合的情况。
我们发现在高阶药物组合中存在数量惊人的抑制性相互作用。如果不检查低阶(成对)细菌生长情况,就会错过出现的抑制作用,这可能会影响我们对耐药性进化的理解以及对抗药病原体的治疗策略。这些发现表明,需要仔细研究药物组合的全因子情况,以发现高阶组合中的抑制性相互作用。