대한방사선기술학회지:방사선기술과학 (Journal of radiological science and technology)

  • 제45권3호
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  • Pages.225-232
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  • 2022
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  • 2288-3509(pISSN)
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  • 2384-1168(eISSN)
대한방사선과학회 (Korean Society of Radiological Science)
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18F-FDG PET를 이용한 미세먼지 노출에 따른 쥐(rat)의 뇌 활성도 변화

Changes in Brain Activity of Rats due to Exposure to Fine Dust Using 18F-FDG PET

  • 조윤호 (인하대병원 핵의학과) ;
  • 조규상 (인하대병원 진료운영지원팀) ;
  • 이왕희 (가천대학교 길병원 핵의학과) ;
  • 최재호 (안산대학교 방사선학과)
  • Cho, Yun-Ho (Department of Nuclear Medicine, Inha University Hospital) ;
  • Cho, Kyu-Sang (Department of Team clinical support, Inha University Hospital) ;
  • Lee, Wang-Hui (Department of Nuclear Medicine, Gachon University Gil Medical Center) ;
  • Choi, Jea-Ho (Department of Radiological Technology, Ansan University)
  • 투고 : 2022.03.23
  • 심사 : 2022.05.06
  • 발행 : 2022.06.30
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초록

Fine dust threatens human health in various forms, depending on the particle size, such as by causing respiratory, cardiovascular, and brain diseases, after entering the body via the lungs. The aim of this study was to correlate fine dust exposure with changes in brain blood flow in Sprague Dawley rats by using micro-positron emission tomography and elucidate the possibility of developing cerebrovascular diseases caused by fine dust. The subjects were exposured to an average fine dust (particulate matter 2.5) of 206.2 ± 7.74 to ten rats four times a day, twice a day for 90 min. Before the experiment, they were maintained at NPO to the maximize the intake of 18F-fluorodeoxy glucose(18F-FDG) and minimize changes in the 18F-FDG biomass depending on the ambient environment and body temperature of the rats. PET images were acquired in the list mode 40 min after injecting 18F-FDG 44.4 MBq into the rats tail vein using a micro-PET scanner pre and post exposure to fine dust. We found that the whole brain level of 18F-FDG standardized uptake value in rats averaged 5.21 ± 0.52 g/mL pre and 4.22 ± 0.48 g/mL post exposure to fine dust, resulting in a statistically significant difference. Fine dust was able to alter brain activity after entering the body via the lungs in various forms depending on the particle size.

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참고문헌

  1. Park JS, Choi JS, Kim HJ, Oh J, Seong MY, Ahn JY, et al. A Study on the Characteristics of PM1.0 Chemical Components Using a Real-time Aerosol Mass Spectrometer. Journal of the Korean Society of Uban Environment. 2018;18(4):485-94. https://doi.org/10.33768/ksue.2018.18.4.485
  2. Yang YC, Lee SH, Park BH, Cho KW, Yoon SH, Park JY, et al. Estimation of Heavy Metal Contamination by PM10 Inflow Pathways while Asian Dust in Gwangju. J. Environ. Sci. 2020;29(1):55-68.
  3. Park SA, Shin HJ. Analysis of the Factors Influencing PM2.5 in Korea: Focusing on Seasonal Factors. Korea Environmental Policy And Administration Society. 2017;25(1):227-48. https://doi.org/10.15301/jepa.2017.25.1.227
  4. Lim MJ, Kim SM, Shim JH. Association Prediction Method Using Correlation Analysis between Fine Dust and Medical Subject. Smart Media Journal. 2018;7(3):22-8. https://doi.org/10.30693/SMJ.2018.7.3.22
  5. Jang DP. The evaluation of [F-18]FDG small animal PET as a functional neuroimaging technique with fear response experiment. J Biomedical Engineering Research. 2011;32;74-8. https://doi.org/10.9718/JBER.2011.32.1.074
  6. Roh JH, Jung HY, Lee KJ. Particulate Matter and Cognitive Function. J Korean Neuropsychiatr Assoc. 2018;57(1):81-5. https://doi.org/10.4306/jknpa.2018.57.1.81
  7. Jo KH, Ryu SY, Han MA, Choi SW, Shin MH, Park J. Cross-sectional Associations between Particulate Matter(PM2.5) and Depression(PHQ-9) in the Elderly. J Health Info Stat. 2021;46(2);163-70. https://doi.org/10.21032/jhis.2021.46.2.163
  8. Jang AS. The effects of fine dust on health. J. Korean Med. Assoc. 2014;57;763-8. https://doi.org/10.5124/jkma.2014.57.9.763
  9. Doherty RM, Heal MR. Climate change impacts on human health over Europe through its effect on air quality. Environmental Health. 2017;16(1);33-44. https://doi.org/10.1186/s12940-017-0243-3
  10. Pearson JF, Bachireddy C, Shyamprasad S, Goldfine AB. Association between fine particulate matter and diabetes prevalence in the U.S. Diabetes Care. 2010;33:2196-201. https://doi.org/10.2337/dc10-0698
  11. Kyung SY, Jeong SH. Adverse health effects of particulate matter. J Korean Med Assoc. 2017;60(5):391-8. https://doi.org/10.5124/jkma.2017.60.5.391
  12. Bae SH, Hong YC. Health effect of particulate matter. J Korean Med Assoc. 2018;61(12):749-55. https://doi.org/10.5124/jkma.2018.61.12.749
  13. Opstal AM. Brain Activity and Connectivity Changes in Response to Glucose Ingestion. Nutritional Neuroscience. 2020;23(5):110-7. https://doi.org/10.1080/1028415X.2018.1477538
  14. Valotassiou V, Angelidis G, Psimadas D, Tsougos I, Georgoulias P. In the era of FDG PET, is it time for brain perfusion SPECT to gain a place in Alzheimer's disease imaging biomarkers? Eur J Nucl Med Mol Imaging. 2021;48(10):969-71. https://doi.org/10.1007/s00259-020-05077-2
  15. Kim IY, Lee YK, Ahn SM. Effect of Glucose Level on Brain FDG-PET Images. J. Radiol. Sci. Technol. 2017;40(2):275-80. https://doi.org/10.17946/JRST.2017.40.2.13
  16. Bang SH, Hwang TY. Factors Affecting the Perception, Knowledge, and Preventive Behaviors of Chronic Pulmonary Disease Patients on Particulate Matter. J Agric Med Community Health. 2021;46(1):1-11. https://doi.org/10.5393/JAMCH.2021.46.1.001