@article{552,
  author = {David Szollosi and Polett Hajdrik and Hedvig Tordai and Ildikó Horváth and Dániel Veres and Bernadett Gillich and Kanni Shailaja and László Smeller and Ralf Bergmann and Michael Bachmann and Judith Mihály and Anikó Gaál and Bálint Jezsó and Balázs Barátki and Dorottya Kövesdi and Szilvia Bősze and Ildikó Szabó and Tamás Felföldi and Erzsébet Oszwald and Parasuraman Padmanabhan and Balázs Gulyás and Nazha Hamdani and Domokos Máthé and Zoltán Varga and Krisztián Szigeti},
  title = {Molecular imaging of bacterial outer membrane vesicles based on bacterial surface display},
  abstract = {<p>AbstractThe important roles of bacterial outer membrane vesicles (OMVs) in various diseases and their emergence as a promising platform for vaccine development and targeted drug delivery necessitates the development of imaging techniques suitable for quantifying their biodistribution with high precision. To address this requirement, we aimed to develop an OMV specific radiolabeling technique for positron emission tomography (PET). A novel bacterial strain (E. coli BL21(DE3) ΔnlpI, ΔlpxM) was created for efficient OMV production, and OMVs were characterized using various methods. SpyCatcher was anchored to the OMV outer membrane using autotransporter-based surface display systems. Synthetic SpyTag-NODAGA conjugates were tested for OMV surface binding and 64Cu labeling efficiency. The final labeling protocol shows a radiochemical purity of 100% with a ~ 29% radiolabeling efficiency and excellent serum stability. The in vivo biodistribution of OMVs labeled with 64Cu was determined in mice using PET/MRI imaging which revealed that the biodistribution of radiolabeled OMVs in mice is characteristic of previously reported data with the highest organ uptakes corresponding to the liver and spleen 3, 6, and 12&nbsp;h following intravenous administration. This novel method can serve as a basis for a general OMV radiolabeling scheme and could be used in vaccine- and drug-carrier development based on bioengineered OMVs.</p>
},
  year = {2023},
  journal = {Scientific Reports},
  volume = {13},
  publisher = {Springer Science and Business Media LLC},
  issn = {2045-2322},
  doi = {10.1038/s41598-023-45628-9},
}