Strutt Robert, Jusková Petra, Berlanda Simon F, Krämer Stefanie D, Dittrich Petra S
Department of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, Basel, 4056, Switzerland.
Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 4, Zürich, 8093, Switzerland.
Small. 2025 Apr;21(17):e2412399. doi: 10.1002/smll.202412399. Epub 2025 Mar 27.
Treating bacterial infections is dependent upon their site within a biological system, where the cumulative role of membrane transport is challenging to resolve. In this work, a cultivation method based on droplet interface bilayers (DIBs) is established. The architecture of infections in both cellular and tissue contexts is crafted where individual droplets serve as artificial cells infected by intracellular bacteria, or as interconnected units in a tissue-like structure. Through spatio-temporal control over droplets, addition, withdrawal, and sequential antibiotic gradients are tailored acting upon living bacteria. With droplet networks mimicking tissues, it is showed that the treatment response is dependent on the number of the cell-like barriers, corresponding to the number of membranes from an antibiotic source, here described as the membrane depth. Through mathematical modelling a correlation is revealed between the membrane depth of each bacterial population, the antibiotic distribution and thus the treatment efficacy. Ultimately, this approach holds promise as an in vitro bioassay for understanding the response of intracellular bacteria to antibiotics, developing new antibiotics, designing biologically inspired materials, and underpinning emerging bioprinting approaches.
治疗细菌感染取决于它们在生物系统中的位置,而膜运输在其中的累积作用很难解析。在这项工作中,建立了一种基于液滴界面双层(DIBs)的培养方法。在细胞和组织环境中构建感染结构,其中单个液滴充当被细胞内细菌感染的人工细胞,或充当组织样结构中的相互连接单元。通过对液滴的时空控制,可定制对活细菌起作用的添加、去除和连续抗生素梯度。利用模拟组织的液滴网络表明,治疗反应取决于细胞样屏障的数量,这与来自抗生素源的膜数量相对应,在此称为膜深度。通过数学建模揭示了每个细菌群体的膜深度、抗生素分布以及治疗效果之间的相关性。最终,这种方法有望作为一种体外生物测定法,用于理解细胞内细菌对抗生素的反应、开发新抗生素、设计受生物启发的材料以及支持新兴的生物打印方法。