Lipoproteins are naturally-existing nanostructures (8 - 1000 nm) responsible for the transport of cholesterol and other lipids in the blood circulation. Being endogenous carriers, lipoproteins are not immunogenic and escape recognition by the reticuloendothelial system. This project will initiate a broad exploration of lipoprotein particles as diverse and biocompatible nanoplatforms, focusing on low-density lipoprotein (LDL) (22nm) as a prototype. In our multifunctional LDL-based nanoplatform (LBNP) design, the diverse targeting is achieved by conjugating certain tumor-homing molecules to the receptor-binding Lys residues exposed on the apoB-100 surface of LDL. This turns off the LDL receptor (LDLR) binding and redirects the resulting LBNP to cancer cells or tumor vasculature via other cancer signatures. The LBNP multifunctionality is achieved by incorporating near-infrared fluorescent (NIRF)/photodynamic therapy (PDT) agents and magnetic resonance imaging (MRI) probes, respectively, into the LBNP lipid core and on its phospholipids monolayer. Thus, accumulation of the MRI/NIRF probes in target cells provides a facile mechanism for amplification of the MRI/NIRF detectable signal and affords opportunities to combine the strength of both MRI (high resolution/anatomic) and NIRF (high sensitivity), whereas the selective delivery of PDT agents to tumors via these pathways also provides a facile transition between cancer detection and treatment. During the R21 phase of the grant proposal (year 01), proof-of-feasibility of the LBNP concept will be provided by conjugating folic acid to LDL to achieve high affinity toward the folate receptor. In the R33 phase (year 02 to 04), the goal is to demonstrate the binding specificity of LBNP to folate receptors and to bring new functions to the LBNP particles thereby generating two novel folate receptor-targeted nanodevices: NIR dyereconstituted LBNP for NIRF/PDT and Gd-DTPA labeled LBNP for MRI. The key questions that will be tested are: 1) Will the stability of LDL particles be compromised by the proposed LDL modifications? 2) Can folic acid-conjugated LBNP bind to folate receptor specifically without binding to LDLR and/or LDL-scavenger receptor? 3) Can folate receptor binding affinity of LBNP be maximized using the multivalency effect? 4) Can the LBNP payload be high enough to exceed the intracellular MRI detection limit? This approach is expected to generate non-immunogenic multifunctional lipoprotein nanoplatforms, thus providing a solution to common problems associated with most synthetic nanodevices, namely biocompatibility and toxicity issues.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA114463-01
Application #
6914661
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (90))
Program Officer
Baker, Houston
Project Start
2005-04-12
Project End
2006-03-31
Budget Start
2005-04-12
Budget End
2006-03-31
Support Year
1
Fiscal Year
2005
Total Cost
$229,698
Indirect Cost
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Glickson, Jerry D; Lund-Katz, Sissel; Zhou, Rong et al. (2008) Lipoprotein nanoplatform for targeted delivery of diagnostic and therapeutic agents. Mol Imaging 7:101-10
Song, Liping; Li, Hui; Sunar, Ulas et al. (2007) Naphthalocyanine-reconstituted LDL nanoparticles for in vivo cancer imaging and treatment. Int J Nanomedicine 2:767-74
Chen, Juan; Corbin, Ian R; Li, Hui et al. (2007) Ligand conjugated low-density lipoprotein nanoparticles for enhanced optical cancer imaging in vivo. J Am Chem Soc 129:5798-9
Corbin, Ian R; Li, Hui; Chen, Juan et al. (2006) Low-density lipoprotein nanoparticles as magnetic resonance imaging contrast agents. Neoplasia 8:488-98
Zheng, Gang; Chen, Juan; Li, Hui et al. (2005) Rerouting lipoprotein nanoparticles to selected alternate receptors for the targeted delivery of cancer diagnostic and therapeutic agents. Proc Natl Acad Sci U S A 102:17757-62