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Monitoring of macrophage accumulation in statin-treated atherosclerotic mouse model using sodium iodide symporter imaging system

  • Ran Ji Yoo
  • , Min Hwan Kim
  • , Sang Keun Woo
  • , Kwang Il Kim
  • , Tae Sup Lee
  • , Yang Kyu Choi
  • , Joo Hyun Kang
  • , Sang Moo Lim
  • , Yong Jin Lee
  • Korea Institute of Radiological and Medical Sciences
  • Konkuk University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Introduction Macrophages play a key role in atherosclerotic plaque formation in atherosclerosis, but its detailed understanding has poorly investigated until now. Thus, we sought to demonstrate a noninvasive technique for macrophage tracking to atherosclerotic lesions in apolipoprotein E−/−(ApoE−/−) mice with an imaging system based on sodium iodide symporter (NIS) gene coupled with 99mTc-single-photon emission computed tomography (SPECT). Methods and results Macrophage cells (RAW264.7) were stably transduced with retrovirus expressing NIS gene (RAW-NIS). In RAW-NIS cells, uptake of 125I was higher than the parental cells. [18F]FDG signals in the aorta at 30 weeks on an ApoE−/− mice with high cholesterol diet were higher (1.7 ± 0.12% injected dose (ID)) than those in control group (0.84 ± 0.06% ID). Through 99mTc-SPECT/computed tomography (CT), in the RAW-NIS cell injected group, the 99mTc-pertechnetate uptake in aorta was higher than control groups. However, according to atorvastatin treatment, RAW-NIS cell recruitment reduced to the aorta. Area of 99mTc-pertechnetate uptake was positively correlated with immunostaining results against macrophage antigen (CD68). Cholesterol and low-density lipoprotein levels of atorvastatin-treated group showed lower than those of atorvastatin-untreated group, but did not reach statistical difference. Conclusions This novel approach to tracking macrophages to atherosclerotic plaques in vivo can be applied for studies of arterosclerotic vascular disease.

Original languageEnglish
Pages (from-to)45-51
Number of pages7
JournalNuclear Medicine and Biology
Volume48
DOIs
StatePublished - 1 May 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Atherosclerosis
  • Atorvastatin treatment
  • Macrophages
  • Reporter gene
  • SPECT imaging

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