Quantitative Biodistribution of OMVs Using SPECT/CT Imaging with HYNIC-Duramycin Radiolabeling
Year: 2024
Type: article
Abstract: Introduction: Bacterial outer membrane vesicles (OMVs) are emerging as important players in the host–microbiome interaction, while also proving to be a promising platform for vaccine development and targeted drug delivery. The available methods for measuring their biodistribution, however, are limited. We aimed to establish a high-efficiency radiolabeling method for the treatment of OMVs. Methods:99mTc-HYNIC-duramycin was incubated with OMVs isolated from E. coli BL21(DE3) ΔnlpI ΔlpxM. Radiolabeling efficiency (RLE) and radiochemical purity (RCP) were measured with size-exclusion high-performance liquid chromatography. The biodistribution was quantitatively measured in mice using SPECT/CT imaging. Results: RLE was 81.84 ± 2.03% for undiluted OMV suspension and 56.17 ± 2.29% for 100× dilution. Postlabeling purification with a spin-desalting column results in 100% radioactivity in the OMV fraction according to HPLC, indicating 100% RCP of the final product. The biodistribution was found to be in line with previous data reported in the literature using other OMV tracking attempts. Conclusions: Our findings illustrate that using HYNIC-duramycin for labeling of the OMVs enhances efficiency and is easily implementable for in vivo imaging studies, significantly improving upon earlier methods.
Source: ACS Omega
Institutions: Semmelweis University, Institute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Institute of Molecular Life Sciences, Eötvös Loránd University, HUN-REN Centre for Ecological Research, Nanyang Technological University, Budapest University of Technology and Economics
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,935
Funders: Budapesti Műszaki és Gazdaságtudományi Egyetem, European Commission, Nanyang Technological University, Semmelweis Egyetem, Hungarian Scientific Research Fund, Magyar Tudományos Akadémia, Eötvös Loránd Tudományegyetem, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Horizon 2020 Framework Programme, Lee Kong Chian School of Medicine, Nanyang Technological University
OpenAlex ID: W4403321568
