Department of Microbiology & Immunology, University of Minnesota, Minneapolis, Minnesota, USA.
Division of Pulmonary, Allergy, Critical Care, & Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
mSphere. 2020 Apr 29;5(2):e00343-20. doi: 10.1128/mSphere.00343-20.
A critical limitation in the management of chronic polymicrobial infections is the lack of correlation between antibiotic susceptibility testing (AST) and patient responses to therapy. Underlying this disconnect is our inability to accurately recapitulate the environment and complex polymicrobial communities However, emerging evidence suggests that, if modeled and tested accurately, interspecies relationships can be exploited by conventional antibiotics predicted to be ineffective by standard AST. As an example, under conditions where relies on cocolonizing organisms for nutrients (i.e., cross-feeding), multidrug-resistant may be indirectly targeted by inhibiting the growth of its metabolic partners. While this has been shown using synthetic bacterial communities, the efficacy of a "weakest-link" approach to controlling host-associated polymicrobial infections has not yet been demonstrated. To test whether cross-feeding inhibition can be leveraged in clinically relevant contexts, we collected sputa from cystic fibrosis (CF) subjects and used enrichment culturing to isolate both and anaerobic bacteria from each sample. Predictably, both subpopulations showed various antibiotic susceptibilities when grown independently. However, when was cultured and treated under cooperative conditions in which it was dependent on anaerobic bacteria for nutrients, the growth of both the pathogen and the anaerobe was constrained despite their intrinsic antibiotic resistance profiles. These data demonstrate that the control of complex polymicrobial infections may be achieved by exploiting obligate or facultative interspecies relationships. Toward this end, susceptibility testing should evolve to more accurately reflect growth environments and microbial interactions found within them. Antibiotic efficacy achieved correlates poorly with clinical outcomes after treatment of chronic polymicrobial diseases; if a pathogen demonstrates susceptibility to a given antibiotic in the lab, that compound is often ineffective when administered clinically. Conversely, if a pathogen is resistant , patient treatment with that same compound can elicit a positive response. This discordance suggests that the growth environment impacts pathogen antibiotic susceptibility. Indeed, here we demonstrate that interspecies relationships among microbiotas in the sputa of cystic fibrosis patients can be targeted to indirectly inhibit the growth of The therapeutic implication is that control of chronic lung infections may be achieved by exploiting obligate or facultative relationships among airway bacterial community members. This strategy is particularly relevant for pathogens harboring intrinsic multidrug resistance and is broadly applicable to chronic polymicrobial airway, wound, and intra-abdominal infections.
慢性多微生物感染管理的一个关键限制是抗生素药敏试验 (AST) 与患者对治疗的反应之间缺乏相关性。造成这种脱节的根本原因是我们无法准确再现环境和复杂的多微生物群落。然而,新出现的证据表明,如果建模和测试准确,种间关系可以被传统抗生素利用,而这些抗生素根据标准 AST 预测是无效的。例如,在依赖共定植生物获取营养(即交叉喂养)的情况下,多药耐药菌可以通过抑制其代谢伙伴的生长而间接地成为目标。虽然这已在合成细菌群落中得到证明,但控制宿主相关多微生物感染的“最薄弱环节”方法的疗效尚未得到证实。为了测试交叉喂养抑制是否可以在临床相关环境中得到利用,我们从囊性纤维化 (CF) 患者中收集了痰液,并使用富集培养从每个样本中分离出和厌氧菌。可以预见的是,当独立培养时,两个亚群的抗生素敏感性各不相同。然而,当在需要厌氧菌为其提供营养的合作条件下培养和治疗时,尽管两者都具有内在的抗生素耐药性,但病原体和厌氧菌的生长都受到了限制。这些数据表明,复杂多微生物感染的控制可以通过利用必需或兼性种间关系来实现。为此,抗生素药敏试验应该发展得更准确地反映微生物相互作用和它们内部的微生物生长环境。抗生素疗效与慢性多微生物疾病治疗后的临床结果相关性很差;如果一种病原体在实验室中对某种抗生素表现出敏感性,那么该化合物在临床上通常无效。相反,如果一种病原体具有耐药性,那么患者用相同的化合物进行治疗可能会产生积极的反应。这种不一致表明,病原体生长环境会影响抗生素敏感性。事实上,在这里,我们证明囊性纤维化患者痰液中的微生物群之间的种间关系可以被靶向,以间接抑制的生长。这一治疗意义在于,通过利用气道细菌群落成员之间的必需或兼性关系,可以实现慢性肺部感染的控制。这种策略对于携带固有多药耐药性的病原体特别重要,并且广泛适用于慢性多微生物气道、伤口和腹腔内感染。