Literature DB >> 20075195

RGD peptide functionalized and reconstituted high-density lipoprotein nanoparticles as a versatile and multimodal tumor targeting molecular imaging probe.

Wei Chen1, Peter A Jarzyna, Geralda A F van Tilborg, Van Anh Nguyen, David P Cormode, Ahmed Klink, Arjan W Griffioen, Gwendalyn J Randolph, Edward A Fisher, Willem J M Mulder, Zahi A Fayad.   

Abstract

High density lipoprotein (HDL), an endogenous nanoparticle, transports fat throughout the body and is capable of transferring cholesterol from atheroma in the vessel wall to the liver. In the present study, we utilized HDL as a multimodal nanoparticle platform for tumor targeting and imaging via nonspecific accumulation and specific binding to angiogenically activated blood vessels. We reconstituted HDL (rHDL) with amphiphilic gadolinium chelates and fluorescent dyes. To target angiogenic endothelial cells, rHDL was functionalized with alphavbeta3-integrin-specific RGD peptides (rHDL-RGD). Nonspecific RAD peptides were conjugated to rHDL nanoparticles as a control (rHDL-RAD). It was observed in vitro that all 3 nanoparticles were phagocytosed by macrophages, while alphavbeta3-integrin-specific rHDL-RGD nanoparticles were preferentially taken up by endothelial cells. The uptake of nanoparticles in mouse tumors was evaluated in vivo using near infrared (NIR) and MR imaging. All nanoparticles accumulated in tumors but with very different accumulation/binding kinetics as observed by NIR imaging. Moreover, confocal microscopy revealed rHDL-RGD to be associated with tumor endothelial cells, while rHDL and rHDL-RAD nanoparticles were mainly found in the interstitial space. This study demonstrates the ability to reroute HDL from its natural targets to tumor blood vessels and its potential for multimodal imaging of tumor-associated processes.

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Year:  2010        PMID: 20075195      PMCID: PMC2874482          DOI: 10.1096/fj.09-139865

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  41 in total

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  48 in total

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