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生物膜生长细菌的体外抗菌药敏试验:现有方法与新兴方法

In Vitro Antimicrobial Susceptibility Testing of Biofilm-Growing Bacteria: Current and Emerging Methods.

作者信息

Di Bonaventura Giovanni, Pompilio Arianna

机构信息

Department of Medical, Oral and Biotechnological Sciences, and Center for Advanced Studies and Technology (CAST), "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.

Laboratory of Clinical Microbiology, Chieti, Italy.

出版信息

Adv Exp Med Biol. 2022;1369:33-51. doi: 10.1007/5584_2021_641.

Abstract

The antibiotic susceptibility of bacterial pathogens is typically determined based on planktonic cells, as recommended by several international guidelines. However, most of chronic infections - such as those established in wounds, cystic fibrosis lung, and onto indwelling devices - are associated to the formation of biofilms, communities of clustered bacteria attached onto a surface, abiotic or biotic, and embedded in an extracellular matrix produced by the bacteria and complexed with molecules from the host. Sessile microorganisms show significantly increased tolerance/resistance to antibiotics compared with planktonic counterparts. Consequently, antibiotic concentrations used in standard antimicrobial susceptibility tests, although effective against planktonic bacteria in vitro, are not predictive of the concentrations required to eradicate biofilm-related infections, thus leading to treatment failure, chronicization and removal of material in patients with indwelling medical devices.Meeting the need for the in vitro evaluation of biofilm susceptibility to antibiotics, here we reviewed several methods proposed in literature highlighting their advantages and limitations to guide scientists towards an appropriate choice.

摘要

按照一些国际指南的建议,细菌病原体的抗生素敏感性通常基于浮游细胞来确定。然而,大多数慢性感染——比如伤口、囊性纤维化肺部以及植入式医疗器械上发生的感染——都与生物膜的形成有关,生物膜是附着在生物或非生物表面上的聚集细菌群落,嵌入细菌产生的细胞外基质中,并与宿主分子复合。与浮游微生物相比,固着微生物对抗生素的耐受性/抗性显著增加。因此,标准抗菌药敏试验中使用的抗生素浓度,尽管在体外对浮游细菌有效,但并不能预测根除生物膜相关感染所需的浓度,从而导致治疗失败、病情慢性化以及植入式医疗器械患者体内材料的移除。为满足体外评估生物膜对抗生素敏感性的需求,我们在此回顾了文献中提出的几种方法,强调了它们的优点和局限性,以指导科学家做出合适的选择。

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