LDL-based nanoparticles for contrast enhanced MRI of atheroplaques in mouse models

Yoko Yamakoshi; Hui Qiao; Andrew N. Lowell; Mark Woods; Betty Paulose; Yuka Nakao; Hualei Zhang; Ting Liu; Sissel Lund-Katz; Rong Zhou

doi:10.1039/C1CC10924C

LDL-based nanoparticles for contrast enhanced MRI of atheroplaques in mouse models†

Yoko Yamakoshi,*^abcd Hui Qiao,^a Andrew N. Lowell,^d Mark Woods,^ef Betty Paulose,^d Yuka Nakao,^d Hualei Zhang,^a Ting Liu,^ag Sissel Lund-Katz^h and Rong Zhou*^a

Author affiliations

* Corresponding authors

^a Laboratories of Molecular Imaging, Department of Radiology, University of Pennsylvania, 231 South 34th Street, Philadelphia, USA
E-mail: Yoko.Yamakoshi@uphs.upenn.edu, zhou@rad.upenn.edu

^b Laboratorium für Organische Chemie, ETH-Zürich, Wolfgang-Pauli-Strasse 10, CH-8093, Zürich, Switzerland
E-mail: yamakoshi@org.chem.ethz.ch
Fax: +41 44 633 64 20
Tel: +41 44 633 64 20

^c PRESTO, Japan Science and Technology Agency, Japan

^d Department of Chemistry, University of Pennsylvania, 231 South 34th Street, Philadelphia, USA

^e Advanced Imaging Research Center, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L452, Portland, USA

^f Department of Chemistry, Portland State University, 1719 SW 10th Ave, Portland, USA

^g Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China

^h The Children's Hospital of Philadelphia, 3615 Civic Center Boulevard, Philadelphia, USA

Abstract

A LDL particle functionalized with a GdDO3A-monoamide chelate with a long alkenyl anchor (GdDO3A-OA) was prepared for in vivodetection of atheroplaques. The GdDO3A-OA, when successfully intercalated into the lipid layer of LDL particles, led to a significant enhancement of magnetic resonance imaging signal intensity of atheroplaques in atherosclerosis mouse models.

Chemical Communications

LDL-based nanoparticles for contrast enhanced MRI of atheroplaques in mouse models†

Abstract

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LDL-based nanoparticles for contrast enhanced MRI of atheroplaques in mouse models

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