Wilson Suzanne, Hamilton Martin A, Hamilton Gordon C, Schumann Margo R, Stoodley Paul
Center for Biofilm Engineering, Montana State University-Bozeman, USA.
Appl Environ Microbiol. 2004 Oct;70(10):5847-52. doi: 10.1128/AEM.70.10.5847-5852.2004.
The detachment of cells from bacterial biofilms is an important, yet poorly understood and largely unquantified phenomenon. Detached cell clumps from medical devices may form microemboli and lead to metastasis, especially if they are resistant to host defenses and antibiotics. In manufacturing plants detached clumps entering a process stream decrease product quality. Two strains of Pseudomonas aeruginosa, a wild type (PAO1) and a cell signaling mutant (JP1), were studied to (i) quantify and model detachment patterns and (ii) determine the influence of cell signaling on detachment. We collected effluent from a biofilm flowthrough reactor and determined the size distribution for cell detachment events by microscopic examination and image analysis. The two strains were similar in terms of both biofilm structure and detachment patterns. Most of the detachment events were single-cell events; however, multiple-cell detachment events contributed a large fraction of the total detached cells. The rates at which events containing multiple cells detached from the biofilm were estimated by fitting a statistical model to the size distribution data. For events consisting of at least 1,000 cells, the estimated rates were 4.5 events mm(-2) min(-1) for PAO1 and 4.3 events mm(-2) min(-1) for JP1. These rates may be significant when they are scaled up to the total area of a real biofilm-contaminated medical device surface and to the hours or days of patient exposure.
细菌生物膜中细胞的脱离是一个重要但却了解甚少且大多未被量化的现象。医疗器械上脱离的细胞团块可能形成微栓子并导致转移,尤其是当它们对宿主防御和抗生素具有抗性时。在制造工厂中,进入工艺流程的脱离团块会降低产品质量。研究了两株铜绿假单胞菌,一株野生型(PAO1)和一株细胞信号突变体(JP1),以(i)量化和模拟脱离模式,以及(ii)确定细胞信号对脱离的影响。我们从生物膜流通式反应器收集流出物,并通过显微镜检查和图像分析确定细胞脱离事件的大小分布。这两株菌在生物膜结构和脱离模式方面相似。大多数脱离事件是单细胞事件;然而,多细胞脱离事件在总脱离细胞中占很大比例。通过将统计模型拟合到大小分布数据来估计包含多个细胞的事件从生物膜脱离的速率。对于至少由1000个细胞组成的事件,PAO1的估计速率为4.5次事件·mm⁻²·min⁻¹,JP1的估计速率为4.3次事件·mm⁻²·min⁻¹。当将这些速率扩大到实际被生物膜污染的医疗器械表面的总面积以及患者接触的数小时或数天时,这些速率可能是显著的。