Highly Sensitive Identification of Lymphatic and Hematogenous Metastasis Routes of Novel Radiolabeled Exosomes Using Non-invasive PET Imaging
Year: 2020
Type: preprint
Abstract: Clinically, there has been significant interest in the use of exosomes for diagnostic applications as promising biomarkers and therapeutic applications as therapeutic vehicles. However, knowledge of in vivo physiological biodistribution of exosomes was difficult to assess until now. Physiological distribution of exosomes in the body must be elucidated for clinical application. In this study, we aimed to develop reliable and novel methods to monitor biodistribution of exosomes using in vivo PET and optical imaging. Methods Exosomes were isolated from cultured medium of 4T1, mouse breast cancer cells. Exosomes were labeled with Cy7 and 64 Cu (or 68 Ga). In mice, radio/fluorescent dye-labeled exosomes were injected through the lymphatic routes (footpad injection) and hematogenous metastatic routes (tail vein injection). Fluorescence and PET images were obtained and quantified. Radio-activity of ex vivo organs was measured by gamma counter. Results PET signals from exosomes in the lymphatic metastatic route were observed in the draining lymph nodes, which are not distinguishable with optical imaging. Immunohistochemistry revealed greater uptake of exosomes in brachial and axillary lymph nodes than inguinal lymph node. After administration through the hematogenous metastasis pathway, accumulation of exosomes was clearly observed in PET images in the lungs, liver, and spleen, showing results similar to ex vivo gamma counter data. Conclusion Exosomes from tumor cells were successfully labeled with 64 Cu (or 68 Ga) and visualized by PET imaging. These results suggest that this cell type-independent, quick, and easy exosome labeling method using PET isotopes could provide valuable information for further application of exosomes in the clinic.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G3994792044, G4512021700
OpenAlex ID: W3011167420
