A1 Journal article – refereed
Comparison of Ga-68-DOTA-Siglec-9 and F-18-Fluorodeoxyribose-Siglec-9: Inflammation Imaging and Radiation Dosimetry




List of Authors: Virtanen H, Silvola JMU, Autio A, Li XG, Liljenback H, Hellberg S, Siitonen R, Stahle M, Kakela M, Airaksinen AJ, Helariutta K, Tolvanen T, Veres TZ, Saraste A, Knuuti J, Jalkanen S, Roivainen A, Roivainen A
Publisher: WILEY-HINDAWI
Publication year: 2017
Journal: Contrast Media and Molecular Imaging
Journal name in source: CONTRAST MEDIA & MOLECULAR IMAGING
Journal acronym: CONTRAST MEDIA MOL I
ISSN: 1555-4309

Abstract
Sialic acid-binding immunoglobulin-like lectin 9 (Siglec-9) is a ligand of inflammation-inducible vascular adhesion protein-1 (VAP1). We compared Ga-68-DOTA-and F-18-fluorodeoxyribose-(FDR) labeled Siglec-9motif peptides for PET imaging of inflammation. Methods. Firstly, we examined Ga-68-DOTA-Siglec-9 and F-18-FDR-Siglec-9 in rats with skin/muscle inflammation. We then studied F-18-FDR-Siglec-9 for the detection of inflamed atherosclerotic plaques in mice and compared it with previous Ga-68-DOTA-Siglec-9 results. Lastly, we estimated human radiation dosimetry fromthe rat data. Results. In rats, Ga-68-DOTA-Siglec-9 (SUV, 0.88 +/- 0.087) and F-18-FDR-Siglec-9 (SUV, 0.77 +/- 0.22) showed comparable (P = 0.29) imaging of inflammation. In atherosclerotic mice, 18 FFDR- Siglec-9 detected inflamed plaques with a target-to-background ratio (1.6 1/8 0.078) similar to previously tested Ga-68-DOTASiglec- 9 (P = 0.35). Humaneffectivedose estimates for Ga-68-DOTA-Siglec-9 and (18) F-FDR-Siglec-9were 0.024 and 0.022 mSv/MBq, respectively. Conclusion. Both tracers are suitable for PET imaging of inflammation. The easier production and lower cost of (68)GaDOTA-Siglec-9 present advantages over F-18-FDR-Siglec-9, indicating it as a primary choice for clinical studies.

Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Last updated on 2019-29-01 at 19:04