Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Development of Escherichia coli systemic infection model for monitoring persisters and antibiotic susceptibility K. Kogermann1, M. Putrinś1, M. Lippus1, I. Smidt2, K. Truusalu2, I. Lutsar2, T. Tenson1 1 Institute of Technology, University of Tartu, Nooruse 1, Tartu 50411, Estonia;2Institute of Microbiology, University of Tartu, Ravila 19, Tartu 50411, Estonia . Dual-Fluorescent UPEC Intraperitoneal (IP) infection of mice (1.5x107 cells/ml) Development of systemic infection 6, 24 or 48 h green fluorescent protein IPTG inducible expression reporter for cell division CAM Fig. 1. UPEC CFT073 mCherry Reporter plasmid IP liquid (CFU/ml) IP liquid(CFU/g) (CFU/ml) Spleen Spleen (CFU/g) Kidney Kidney /CFU/g) (CFU/g) Liver Liver(CFU/g) (CFU/g) 6 10 5 Isolation of bacterial cells from different organs 10 Analyses of bacteria 10 4 10 3 2 10 Inoculum Bacteria from mouse IP liquid R2 R1 6h 24 h 1 10 Flow cytometry CFU Microscopy Fig. 2. In addition to traditional CFU plating, flow cytometry and confocal fluorescent microscopy together with fluorescent reporter protein dilution (with DAPI staining) were used for monitoring UPEC persisters (Fig. 3). mCherry • red fluorescent protein • constitutive epression • helps to indentify bacterial cells • • • Results and Discussion In the mouse systemic infection model, bacteria disseminated from IP liquid to all internal organs as well as to a bloodstream. Infection levels after 6, 24 and 48 h were all comparable (Fig. 4). Highest level of infection was obtained in spleen. Relative number of cells Experimental design Rel. number of cells Introduction Persisters are multidrug-tolerant bacteria that are the likely cause for many of the infection relapses. As opposed to the resistant cells, persisters cannot grow in the presence of the drug and they are genetically identical to the drug-susceptible cell. Their existence has been shown in several in vitro studies, but their emergence during in vivo infections is less reported. Uropathogenic Escherichia coli (UPEC) is a main cause of urinary tract infections, but it is also able to spread and cause systemic infections. Aims of the study To develop a mouse systemic infection model for monitoring UPEC persisters in vivo. The model will be further used to reveal their impact on antibiotic treatment efficacy. Methods We have investigated the faith of UPEC CFT073 cells carrying a reporter plasmid expressing two fluorescent reporter proteins and chloramphenicol resistance (Fig. 1) during in vivo systemic infection in C57bl/6J (female, 8-10 weeks old) mice (Fig. 2). Animal experiments were approved by Estonian ethical committee for animal experimentation (licence no 34 and 52 ). 0h 2h 3h no GFP ind. GFP fluorescence Number of generations calculated from GFP dilution is in a good correlation with generations calculated from cell numbers. Cell numbers GFP level lacI Fig. 3. 2h 3.0 gener. 3h 4.3 gener. 2.8 gener. 4.1 gener 6h 24 h 48 h 48 h Data are shown for all tested mice in each timepoint (n=3-10). Control mice (1xPBS) showed no CFU, CFU of control mice with unmarked bacteria were comparable with marked ones. Fig. 4. Cell division analysis showed that most of the bacteria (high GFP) had not divided after 6 h of infection, however after 24 h, extensive cell division was observed (Fig. 5). After 48 h no persister cells were detected in mice. The presence of different bacterial subpopulations were also verified by fluorescent microscopy. GFP fluorescence Number of generations calculated from GFP dilution: R1 R2 6h 0.9 <6 Data for individual timepoint are shown. 24 h 2.8 <6 mice 48 h n.a. <6 in each Fig. 5. Conclusions The developed mouse systemic infection model and single cell analysis methods revile the location and frequency of potential UPEC persisters. Dividing and nondividing subpopulations of bacteria were detected in different body sites during the time course of infection suggesting that the heterogeneity of bacteria in vivo might influence the outcome of antibiotic treatment. The reporter strain and mouse infection model are potentially very useful tools for determining both the decrease of bacterial number due to the action of immune system and antibiotics, as well as increase by cell division. Copyright © 2015 Kogermann, K. Address: Nooruse 1, 50411 Tartu, Estonia; e-mail: [email protected]