Molecular imaging of bacterial outer membrane vesicles based on bacterial surface display

Author:

Szöllősi Dávid,Hajdrik Polett,Tordai Hedvig,Horváth Ildikó,Veres Dániel S.,Gillich Bernadett,Shailaja Kanni Das,Smeller László,Bergmann Ralf,Bachmann Michael,Mihály Judith,Gaál Anikó,Jezsó Bálint,Barátki Balázs,Kövesdi Dorottya,Bősze Szilvia,Szabó Ildikó,Felföldi Tamás,Oszwald Erzsébet,Padmanabhan Parasuraman,Gulyás Balázs Zoltán,Hamdani Nazha,Máthé Domokos,Varga Zoltán,Szigeti Krisztián

Abstract

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 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.

Funder

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal

European Commission

Innovációs és Technológiai Minisztérium

Magyar Tudományos Akadémia

Semmelweis University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3