bioRxivCancer BiologyPreprint
Highly Sensitive Identification of Lymphatic and Hematogenous Metastasis Routes of Novel Radiolabeled Exosomes Using Non-invasive PET Imaging
K. Jung, Y.-H. Kim, S.-J. Chung, K. W. Kang, S. Rhee, G. Pratx, J.-K. Chung, H. Youn
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. MethodsExosomes were isolated from cultured medium of 4T1, mouse breast cancer cells. Exosomes were labeled with Cy7 and 64Cu (or 68Ga). 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. ResultsPET 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. ConclusionExosomes from tumor cells were successfully labeled with 64Cu (or 68Ga) 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.
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: spatial domain detection
- approach: experimental assay
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