TY  - JOUR
AB  - Background: Different non-invasive real-time imaging techniques have been developed over the last decades to study bacterial pathogenic mechanisms in mouse models by following infections over a time course. In vivo investigations of bacterial infections previously relied mostly on bioluminescence imaging (BLI), which is able to localize metabolically active bacteria, but provides no data on the status of the involved organs in the infected host organism. In this study we established an in vivo imaging platform by magnetic resonance imaging (MRI) for tracking bacteria in mouse models of infection to study infection biology of clinically relevant bacteria. Results: We have developed a method to label Gram-positive and Gram-negative bacteria with iron oxide nano particles and detected and pursued these with MRI. The key step for successful labeling was to manipulate the bacterial surface charge by producing electro-competent cells enabling charge interactions between the iron particles and the cell wall. Different particle sizes and coatings were tested for their ability to attach to the cell wall and possible labeling mechanisms were elaborated by comparing Gram-positive and -negative bacterial characteristics. With 5-nm citrate-coated particles an iron load of 0.015 ± 0.002 pg Fe/bacterial cell was achieved for Staphylococcus aureus. In both a subcutaneous and a systemic infection model induced by iron-labeled S. aureus bacteria, high resolution MR images allowed for bacterial tracking and provided information on the morphology of organs and the inflammatory response. Conclusion: Labeled with iron oxide particles, in vivo detection of small S. aureus colonies in infection models is feasible by MRI and provides a versatile tool to follow bacterial infections in vivo. The established cell labeling strategy can easily be transferred to other bacterial species and thus provides a conceptual advance in the field of molecular MRI.
AU  - Hörr, Verena
AU  - Tuchscherr de Hauschopp, Lorena
AU  - Tuchscherr, Lorena
AU  - de Hauschopp, Lorena
AU  - Tuchscherr de, Lorena
AU  - Hauschopp, Lorena
AU  - Hüve, Jana
AU  - Nippe, Nadine
AU  - Loser, Karin
AU  - Glyvuk, Nataliya
AU  - Tsytsyura, Yaroslav
AU  - Holtkamp, Michael
AU  - Sunderkötter, Cord
AU  - Karst, Uwe
AU  - Klingauf, Jürgen
AU  - Peters, Georg
AU  - Löffler, Bettina
AU  - Faber, Cornelius
DA  - 2013-05-28
DO  - 10.1186/1741-7007-11-63
KW  - Bacterial cell labeling
KW  - Bacteria tracking
KW  - Infectious diseases
KW  - Mouse models of infection
KW  - Cellular and molecular MRI
LA  - eng
N1  - Finanziert durch den Open-Access-Publikationsfonds 2013/2014 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
N1  - BMC Biology 11 (2013) 63
PY  - 2013-05-28
TI  - Bacteria tracking by in vivo magnetic resonance imaging
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-24319454654
Y2  - 2024-12-26T19:29:50
ER  -