Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using 99m Tc-HMPAO

  • Do Won Hwang
  • , Hongyoon Choi
  • , Su Chul Jang
  • , Min Young Yoo
  • , Ji Yong Park
  • , Na Eun Choi
  • , Hyun Jeong Oh
  • , Seunggyun Ha
  • , Yun Sang Lee
  • , Jae Min Jeong
  • , Yong Song Gho
  • , Dong Soo Lee

    Research output: Contribution to journalArticlepeer-review

    208 Scopus citations

    Abstract

    Exosomes known as nano-sized extracellular vesicles attracted recent interests due to their potential usefulness in drug delivery. Amid remarkable advances in biomedical applications of exosomes, it is crucial to understand in vivo distribution and behavior of exosomes. Here, we developed a simple method for radiolabeling of macrophage-derived exosome-mimetic nanovesicles (ENVs) with 99mTc-HMPAO under physiologic conditions and monitored in vivo distribution of 99mTc-HMPAO-ENVs using SPECT/CT in living mice. ENVs were produced from the mouse RAW264.7 macrophage cell line and labeled with 99mTc-HMPAO for 1 hr incubation, followed by removal of free 99mTc-HMPAO. SPECT/CT images were serially acquired after intravenous injection to BALB/c mouse. When ENVs were labeled with 99mTc-HMPAO, the radiochemical purity of 99mTc-HMPAO-ENVs was higher than 90% and the expression of exosome specific protein (CD63) did not change in 99mTc-HMPAO-ENVs. 99mTc-HMPAOENVs showed high serum stability (90%) which was similar to that in phosphate buffered saline until 5 hr. SPECT/CT images of the mice injected with 99mTc-HMPAO-ENVs exhibited higher uptake in liver and no uptake in brain, whereas mice injected with 99mTc-HMPAO showed high brain uptake until 5 hr. Our noninvasive imaging of radiolabeled-ENVs promises better understanding of the in vivo behavior of exosomes for upcoming biomedical application.

    Original languageEnglish
    Article number15636
    JournalScientific Reports
    Volume5
    DOIs
    StatePublished - 26 Oct 2015

    Bibliographical note

    Funding Information:
    This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HI14C0466), and funded by the Ministry of Health & Welfare, Republic of Korea (HI14C3344), and funded by the Ministry of Health & Welfare, Republic of Korea (HI14C1277), and supported by the Technology Innovation Program (10052749) funded by the Ministry of Trade, Industry and Energy(MOTIE), Republic of Korea, and supported by the original of technology research program for brain science through the national research foundation of Korea (NRF-2015M3C7A1028926).

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