The smart targeting of nanoparticles.
Journal: 2014/May - Current Pharmaceutical Design
ISSN: 1873-4286
PUBMED: 23470005
Abstract:
One major challenge in nanomedicine is the selective delivery of nanoparticles to diseased tissues. Nanoparticle delivery systems require targeting for specific delivery to pathogenic sites when enhanced permeability and retention (EPR) is not suitable or inefficient. Nanoparticle functionalization is a widely-used technique for targeting ligand conjugation; these ligands possess inherent abilities to direct nanoparticle selective binding. This review illustrates methods of ligand-nanoparticle functionalization, provides a cross-section of various ligand classes, including small molecules, peptides, antibodies, engineered proteins, or nucleic acid aptamers, and discusses some unconventional approaches currently under investigation.
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Curr Pharm Des 19(35): 6315-6329

The Smart Targeting of Nanoparticles

Introduction

Research aimed at the better translation of benchside innovations to novel and more effective treatments in the clinic have increasingly turned to targeted nanoparticle platforms. Nanoparticles are an attractive choice because they can carry chemotherapeutic warheads, serve as imaging agents, and act as the active therapeutic agent themselves (e.g. the magnetic-induced hyperthermia using superparamagnetic iron oxide nanoparticles), as well as many more applications whose mention is beyond the scope of this article (Figure 1).

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Frequently utilized nanoparticles.

The ideal nanoparticle-based therapeutics should have specific targeting to pathologic tissues, which minimizes or avoids off-target effects of the active therapeutic agents on healthy tissues. Much research has conjugated targeting ligands specific to cell surface components that are unique to, or upregulated in, dysplastic and pathologic tissues to nanoparticle surfaces. These targeting ligands fall into several general classes: small molecules, polypeptide-based peptides, protein domains, antibodies, and nucleic acid-based aptamers [1]. At times, ligands from multiple classes (chimeras), or multiple ligands within the same class but with different targets (multi-valency and multi-specificity) have been implemented to enhance nanoparticle targeting. Each ligand class has particular advantages, disadvantages, unique attributes, and conjugation strategies that will be discussed further in the following sections.

The scope of this review covers advances made in the nanoparticle targeting field over the last four years. Tables bearing publication information regarding various targeting ligands, nanoparticles, and conjugation chemistries are provided to guide discussion of current approaches. The purpose of this review is to provide the reader with an overview of current nanoparticle targeting research and distill this information into an accessible form conducive to the design of desired targeting approaches.

Chemistry of Conjugation

When utilizing nanoparticles for targeted delivery with any of the aforementioned ligands, it is often necessary to chemically modify the surface of the nanoparticles with an appropriate chemistry to introduce reactive moieties, thereby providing functional groups that can be conjugated to a targeting ligand of choice. It is important that the selective ligand has a functional group that can be used for conjugation as well. The conjugation of a targeting ligand to chemically modified nanoparticles will allow for selective delivery of the desired nanoparticle therapeutics.

Most of the conjugation chemistries that are used to modify nanoparticles are covalent. Some of the most prevalent covalent reactions that are utilized in conjugating nanoparticles to targeting ligands include chemical reactions that use carbonyl reactive groups (i.e., carbonyl reacts with hydrazide or alkyoxyamine to form hydrazone or oxime bond), amine reactive groups (i.e., amine reacts with activated carboxylate or imidoester to form amide or amidine bond), sulfhydryl reactive groups (thiol reacts with maleimide, haloacetyl, pyridyl disulfide or gold surface, to form thioester, disulfide, or gold-thiol bond), and a type of orthogonal reaction known as Click Chemistry (i.e., azide reacts with phosphine or alkyne to form amide bond or triazole ring) (Tables 1, ,22).

Table 1

Conjugation reactions, linkages formed, and their stability.

Type of ConjugationLinkageStability under physiological conditions
Covalent
NH2/COOHAmide bondStable
Thiol/MaleimideThio-ether bondStable
Thiol/ThiolDisulfide bondCleaved under reducing conditions
Hydrazide/AldehydeHydrazoneAcid labile
Gold/ThiolGold-thiol bondStable
Click Chemistry i.e. Azide/AlkyneTriazole ringStable
Noncovalent
Biotin/(Strept)avidinNon-covalent Almost irreversibleStable
Hermanson, Greg. Bioconjugate Techniques. San Diego: Academic Press Inc., 1996.

Table 2

Covalent conjugation reactions represented by a schematic.

Type of Covalent ConjugationDiagram
Hydrazide-Aldehyde
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Amine-Carboxyl
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Thiol-Maleimide
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Thiol-Thiol
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Gold-Thiol
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Click Chemistry
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In addition to the many covalent reactions that are used to conjugate nanoparticles to targeting ligands, there is one non-covalent interaction that is commonly used as well. This is the interaction between (strept)avidin and biotin, the strongest known noncovalent interaction with a Kd of (10−10 M). With its almost irreversible binding, this noncovalent interaction can be readily used to conjugate nanoparticles to targeting ligands.

A basic schematic of these covalent conjugation chemistries and their reactions with each other are listed in Table 2, below. The applications of these conjugation reactions can be seen in subsequent sections, which further describe the use of specific targeting ligand classes on nanoparticles. While the majority of nanoparticle modifications involve the chemistries described in Table 2, other chemistries allow specific release of ligand or drug from the nanoparticle upon internalization via intracellular physiological properties, such as acidic pH, redox sensitivity, protease digestion, for example. While the pH is most commonly taken into account, redox and protease sensitivity should be considered as well.

Not all chemistries ensure ligand directed coupling with correct orientation and desired surface density. Conjugation may yield stochastic ligand densities and spatial orientations (random coupling) (Figure 2). Chemistries exist, however, to better control the density and orientation of ligand conjugation via directed coupling. Incorporation of unnatural amino acids into protein-based targeting ligands can site specifically introduce a residue with a desired functional group, by the translational system under in vitro or in vivo conditions [2-4]. Such functional groups, typically not present in natural amino acids, are ideal for site-specific conjugation with nanoparticles or other moieties under bioorthogonal conditions. Suicide substrates, molecules that can covalently tether to specific target proteins, can also direct ligand coupling. The stable and irreversible covalent bond formed between the suicide substrate and the targeting ligand, can allow for the site-specific immobilization of the ligand, facilitating inhibition and labeling while serving as a molecular probe for the target [5-8].

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Random coupling can result in various targeting ligand orientations and densities on nanoparticle surfaces

The targeting ligand is depicted by a protein domain (in red), linked with a stable amide bond (green sphere). Bioactive and non-bioactive orientations, and density-abrogated bioactivity are indicated.

Targeting with Small Molecules

One of the more prevalent targeting ligands conjugated to nanoparticles are small molecules. The major advantages of using a small molecule as targeting ligand is its stability, ease of conjugation with nanoparticles, and the potential low cost, assuming it can be chemically synthesized with high yield. However, there is no systematic approach to develop such ligands, and most small molecule targeting ligands do not bind cell surface receptors with high specificity and affinity. Biotin, also known as vitamin H, has been widely used for facile conjugation with nanoparticles coated with (strept)avidin for in vitro applications. This conjugation method exploits the extremely high affinity (10−10 M) between biotin and (strept)avidin. Clinical applications of this conjugation system are limited, however, due to the bacterial origin of strept(avidin) and consequent immunogenicity.

Vitamin B9 (folic acid) is a small molecule targeting ligand that has been intensively investigated for clinic applications. Folic acid is a high affinity ligand of endogenous folate receptor, which is frequently up-regulated in many types of human cancers. To date, a wide variety of therapeutic agents have been linked to folic acid for tumor-selective drug delivery, including protein toxins and therapeutics, chemotherapeutic agents, gene therapy vectors, oligonucleotides, radioimaging and radiotherapeutic agents, MRI contrast agents, and drug-loaded liposomes and nanoparticles. It has been demonstrated that nanoparticles or liposomes conjugated with folic acid can be actively internalized via receptor-mediated endocytosis and effectively directed to folate receptor-positive cancer cells [9, 10].

In principle, small molecules that tightly and specifically bind to the extracellular domain of transmembrane cancer biomarkers can be used in ways similar to folate. Sigma receptors are upregulated in many cancer cells. Benzamides (anisamide, in particular), are demonstrated sigma receptor ligands and, therefore, can target nanoparticles to sigma receptor-positive tissues [11, 12].

Carbohydrates, which interact weakly with some cell surface receptors, can also serve as nanoparticle small molecule targeting ligands. Carbohydrates permit nanoparticle glycotargeting, which is based on endogenous lectin interactions with carbohydrates. A disadvantage of this targeting method is that glycotargeting often requires multiple interacting carbohydrates to achieve strong enough binding strength. One known example uses galactose or galactose-mimics as ligands to asialoglycoprotein receptor, an endocytotic cell surface lectin receptor highly expressed on hepatocyte surfaces. DC-SIGN is a C-type lectin receptor preferentially expressed by dendritic cells. Lex and ManLAM carbohydrates, for example, can be used to enhance the binding and uptake of the nanoparticles by dendritic cells, although their targeting features are not as effective as DC-SIGN specific antibodies that are presumably more specific and potent [13].

In general, most target receptors do not have naturally occurring small molecule ligands that tightly and specifically interact with their extracellular domains. One attractive approach to the development of small molecule targeting ligands involves using the natural substrate, a small molecule inhibitor, or the transition state analog of the target receptors as the lead compound for small molecule targeting ligand development. For example, small-molecule PSMA targeting molecules have been developed based on substrate N-acetyl-L-Asp-L-Glu-like analogues in which the central linkage between Asp and Glu is replaced with a phosphonate or urea linkage [14, 15],[16]. Recently, RR-11a, a synthetic enzyme inhibitor of Legumain, an asparaginyl endopeptidase whose cell surface expression is driven by hypoxic stress, was developed for targeted nanoparticle delivery [17]. These ligands can be engineered further to contain a primary amine for conjugation through a flexible linker, such as PEG or other effector molecules, for targeted nanoparticle delivery to cancer cells expressing the biomarkers [18-20]. Development of synthetic small molecule targeting ligands, however, cannot always ensure the creation of small molecules that bind target extracellular domains with high affinity and specificity, presumably due to the much smaller interaction surface areas with target receptors compared with their natural protein ligands. One possible solution is multivalent targeting, often used in nature to significantly increase the binding strength between two molecules.

A series of papers that demonstrate the utilization of small molecules for targeted delivery of nanoparticles (Table 3) show that a variety of small molecule ligands can be used with this approach. This includes carbohydrates, folic acid, as well as synthetic small molecules. There are a range of cell-surface receptors targeted here as well, with a few studies focusing on brain tumor [21, 22] and other cancer cell lines [23].

Table 3

Recent examples of targeted nanoparticles using small molecules.

PMID#Small MoleculeTargetNanoparticlesConjugation Chemistry
21871507AnisamideSigma receptorLPHSynthesized as part of DSPE-PEG2000
22410170ManLAMDC-SIGNPLGABiotin/Streptavidin
22410170LexDC-SIGNPLGABiotin/Streptavidin
21955528Myristic acidU87 cellsMC-PEI/DNAAmine/Carboxyl
21882825DimannoseC-type lectin receptors on dendritic cellsPolyanhydrideAmine/Carboxyl
21419870RR-11aLegumainLiposomeAmine/Carboxyl
22204981Folic AcidHeLa cellsβ-Cyclodextrin MicelleCarbamate/Ester

Targeting with Polypeptide-based Homing Peptide, Protein Domain, and Antibody Ligands

Polypetide-based targeting ligands, including homing peptides, protein domains, and antibodies, have advantages over other classes of targeting ligands in that they can be systemically developed and generated by using various biological selection and expression systems, respectively. Some major issues of these targeting ligands include immunogenicity, stability, and difficulty for site-specific conjugation with nanoparticles.

Antibodies

The idea of using nanoparticle technology as a drug delivery platform is not new, dating back to the development and investigation of polyalkylcyanoacrylate nanoparticles in the early 1980s [24, 25]. Antibodies were used in this pioneering research because, at this time, the work of Pimm and coworkers in the early 1980s notably predated the development of phage display screening of short peptide libraries [26], yet hybridoma technology had existed for almost a decade [27].

Following Pimm's work, Vaughan and coworkers developed a method of displaying human mAb fragments in a bacteriophage display system [28], which led to the FDA-approved recombinant human mAb Humira for the treatment of rheumatoid arthritis [29]. Another method, described by Russell and Lonberg, created a transgenic mouse whose murine antibody genes were replaced by human versions [30, 31]. Vectibix, a human anti-EGFR that can be used to treat colorectal cancer, was developed using transgenic mice [32]. Other approaches focused on the modification of existing murine mAbs into murine/human chimeras for the purpose of improving their pharmacokinetics [33].

Antibodies, which were considered originally as targeting ligands due to their availability to research and their attributes as specific, in vivo targeting ligands without reliance on tumor enhanced permeability and retention (EPR), gained greater utility as nanoparticle targeting ligands from the aforementioned advances. For in vivo therapeutics, the continued use of antibodies as nanoparticle targeting ligands is due largely to various developments that have overcome the problems of cross-species antibody immunogenicity. Consequently, therapeutic mAb development for the purpose of translation to the clinic remains an active field and, therefore, mAbs persist as major nanoparticle targeting ligands.

A review of papers describing antibody-guided nanoparticles from 2003 to 2012 (Table 4) reveals that most targeting antibodies are monoclonal and mostly murine, though some antibodies from other species, and polyclonals from rabbit, have been effective, as well as some chimeric [34-36] and humanized antibodies [13, 37, 38]. The majority of these antibodies target the extracellular domains (ECDs) of cell surface proteins, which is logical considering their intended application as in vivo targeted nanoparticles, the exception being a diagnostic sensor of NANOG, a transcription factor, composed of a graphite AuNP-coated film [39]. These antibodies have been successfully conjugated to a variety of nanoparticles, from metallic NPs (e.g. AuNPs, SPIONs, Tc), polymers (e.g. PLGA, chitosan, HDDP), micelles and liposomes, to silica and quantum dots. However, most of the conjugation techniques employed lack directionality, presumably due to the presence of multiple reactive functional groups on antibodies, yielding heterogeneous antibody orientations on the nanoparticles.

Table 4

Recent examples of targeted nanoparticles using antibodies.

PMID#AntibodyAntibody
Type
SourceTargetNanoparticlesConjugation
Chemistry
22394186ab76586Monoclonal Mouse IgG1AbcamNANOG*Graphite AuNP-coated filmAmine/Carboxylate
22394186ab84231Polyclonal Rabbit IgGAbcamNANOG*Graphite AuNP-coated filmAmine/Carboxylate
20825223TrastuzumabMonoclonal HumanizedHER2 ECDMagnetic nanocrystalsNon-covalent interaction
18767886E2156Monoclonal Mouse IgG1SigmaEGFR ECDAuNPsNon-covalent interaction
18606202mAb62Monoclonal Mouse IgG2aPECAM-1 ECDPolystyreneBiotin/Streptavidin
18606202mAb35Monoclonal Mouse IgG1PECAM-2 ECDPolystyreneBiotin/Streptavidin
18606202mAbGi34Monoclonal Mouse IgG1PECAM-3 ECDPolystyreneBiotin/Streptavidin
18606202mAb4G6Monoclonal Mouse IgG2bPECAM-4 ECDPolystyreneBiotin/Streptavidin
18606202mAb37Monoclonal Mouse IgG1PECAM-5 ECDPolystyreneBiotin/Streptavidin
22107797ATCC 27660Polyclonal Rabbit IgGViroStatStaphylococcus aureusPolylactideNon-covalent interaction
21748635TrastuzumabMonoclonal Humanized Mouse IgG1HER2 ECDTcBiotin/Streptavidin
2206574529D7Monoclonal Mouse IgG1WyethTrkB ECDSPIONsRat anti-mouse IgG1 capture
22011314Ritux (rituximab)Monoclonal Chimeric IgGBC Cancer AgencyCD20 ECDPEG Lipid NPThiol/Maleimide
22114481MAB1609Monoclonal Mouse IgG1, IgMChemiconCytokeratin 7/8 ECDSPIONsAmine/Carboxylate
223245437.16.4Monoclonal MouseUCSF Monoclonal Antibody CoreRat neu ECDSPION-chitosan-g-PEGThiol/Maleimide
22349096C225 (cetuximab, erbitux)Monoclonal Chimeric IgG1Bristol-Myers SquibbEGFR ECDAuNPsAmine/Carboxylate, Au/Thiol
22410170Q5/13Monoclonal Mouse IgG2aBeckman CoulterHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD83Monoclonal Mouse IgG1Beckman CoulterHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD69Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD80Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD86Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CCR7Monoclonal Rat IgG2aBD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170AZN-D1 (αDC-SIGN1)Monoclonal Mouse hybrid IgG2/IgG4Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170AZN-D2Monoclonal Mouse IgG2Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170Ab hD1 (αDC-SIGN2)Monoclonal Humanized IgG2/4Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170H200 (αDC-SIGN3)Polyclonal Rabbit IgGSanta Cruz BiotechnologyDC-SIGN ECDPLGABiotin/Streptavidin
22464249Colo205MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
22464249sw480MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
22464249NCM460MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
224692959B9Monoclonal RatShJU, ChinaEGFR ECDPHPA-PEINon-covalent interaction
22494888Anti-CD44MonoclonalBD BiosciencesCD44 ECDPEG-LiposomeThiol/Maleimide
22471719C225 (cetuximab, erbitux)Monoclonal ChimericEGFR ECDPLGA-ZnS:Mn2+Amine/Carboxylate
22515817MonoclonalBD BiosciencesIL-6Fe3O4@SiO2Glutaraldehyde
22515817MonoclonalBD BiosciencesIFN-γFe3O4@SiO3Glutaraldehyde
22515817MonoclonalBD BiosciencesAFP (alpha-fetoprotein)Fe3O4@SiO4Glutaraldehyde
18239128FIB504Monoclonal Rat IgG2aβ7 integrin ECDMultilamellar LiposomeAmine/Carboxylate
14512622PolyclonalPSA ECDAuNPsNon-covalent interaction
14512622MonoclonalPSA ECDIron Oxide NPsGlutaraldehyde/Amine
21838300anti-TM34-211Monoclonal Rat IgG2aMurine thrombomodulin ECDPEO-filomicellesBiotin/Streptavidin
21838300anti-TM201-411Monoclonal Rat IgG2aMurine thrombomodulin ECDPEO-filomicellesBiotin/Streptavidin
21976974TrastuzumabMonoclonal Humanized Mouse IgG1RocheHER2 ECDChitosan NPsThiol/Maleimide
21976975anti-DR5Monoclonal Humanized IgG2bSanta Cruz BiotechnologyDR5 ECDPLAAmine/Carboxylate
22072868LCCS AbsPolyclonal Mouseliver cancer cell surface-specific (LCCS)AuNPsNon-covalent interaction
22035507Anti-Her2 AbMonoclonal Mouse IgG1Bender MedSystems (eBioscience)HER2Iron Oxide NPsAmine/Carboxylate
21980236Anti-EGFR AbMonoclonal ChimeraBeijing Zhong Shan CompanyEGFRQuantum Dots (QD800)Thiol/Maleimide
22032622ScFv-EGFRScFvEGFRHDDPAmine/Carboxylate

Antibody targeting of nanoparticles face several major challenges: antigen binding (the mAb must have high target specificity and affinity and the linker, as well as NPs, must not perturb the desired specificity), conjugation (the Ab-NP linkage must be highly efficient and site-specific), and circulation time (the mAb-NP conjugate linker must be stable during circulation). In addition, immunogenicity and purity are other concerns. The body can perceive antibodies as foreign proteins and clear them, nullifying the action of the targeted NPs. Many conjugation techniques, such as those exploiting lysine side-chain amines and cysteine sulfhydryl groups, yield heterogeneous mixtures of targeted NPs, each with differing Ab:NP molar ratios, conjugation sites, pharmacokinetics, and safety profiles.

Peptides

Much smaller than antibodies but larger than small molecules, short homing peptides offer additional nanoparticle targeting options, and certain advantages over the aforementioned targeting ligands. The design of a small molecule that fits into a usually shallow and hydrophobic binding pocket can be challenging. As a compromise between small molecules and antibodies, short peptides provide smaller size, as well as high specificity and affinity.

Targeting homing peptides are typically discovered via phage display, first developed in 1985. Phage display is a screening tool for peptides, allowing selection of peptide sequences with increased affinities to a specific target of choice [40, 41]. The phage display system is a cyclic selection process, where the purified target molecules or specific cell types are incubated with a randomized library of peptide sequences displayed on bacteriophage capsids. Some peptides bind to the target protein, and nonspecific binders are washed away with the specific binders eluted. Binding peptide sequences-bacteriophages are collected, which infect E. Coli and is amplified, followed by additional cycles of selection. Selected peptides have been used as molecular probes for imaging and can be applied as therapeutics as well.

There are numerous publications using short homing peptides to target nanoparticles during the past decade. Studies from 2011-2012 using peptides as nanoparticle targeting ligands (Table 5) predominantly utilized ligands discovered via phage display. Some used natural peptides, such as EGF [42, 43], CANF [44], and Angiopep-2 [45]. About 30% of reviewed papers used cyclic peptides, though this percentage is influenced by the popularity of the RGD peptide as a targeting ligand to αvβ3 integrin [46-51]. All studies targeted cell surface proteins. As with antibodies, the used peptides were successfully conjugated to a variety of nanoparticles, such as metallic NPs (e.g. gadolinium oxide, SPIONs, AuNPs, MBCSPs), micelles and polymers (e.g. chitosan, PLGA, poly(methyl methacrylate)), and dendrimers. Han and coworkers provide an interesting alternative to the typical nanoparticle formulations and conjugation paradigms [42]. They expressed targeting peptides recombinantly fused to the 97 kDa major vault protein (MVP), which self-assembles into Vault Nanoparticles – naturally-occurring nanoparticles present in cell cytoplasm composed of ribonucleoproteins. At times, the orientation of the conjugated peptides in the reviewed studies can be problematic but this is controlled in some applications at the level of peptide synthesis, typically through the additional of a unique functional group to peptide termini, allowing for site-specific conjugation with nanoparticles.

Table 5

Recent examples of targeted nanoparticles using short homing peptides.

PMID#PeptideSequenceCyclicTargetNanoparticleConjugation
Chemistry
21726134ATWLPPRATWLPPRNeuropilin-1 ECDGd2O3 in polysiloxane shellAmine/Carboxylate
21740042EGFEGFR ECDVault nanoparticlesRecombinant fusion
21763734NGRNGRCD13 ECDELP MicelleNon-covalent interaction
21781994S2PCRTLTVRKCStabilin-2 ECDChitosanAmine/Carboxylate, Thiol/Maleimide
21871505EGFEGFR ECDGemC18 NPsThiol/Maleimide
21945679I4RCRKRLDRNCIL-4R ECDHydrophobically modified glycol chitosanAmine/Carboxylate
21987727AH1SPSYVYHQFMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727TRP2180–188SVYDFFVWLMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727PAn DR epitope (PADRE)aKXVAAWTLKAAaZCMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727HA110–120SFERFEIFPKECMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
22014944iRGDCRGDKGPDCαvβ3, αvβ5PLGA-PLL-PEGThiol/Maleimide
22049461CANFNPR-C ECDpoly (methyl methacrylate)-PEGMethacrylate/Acetylene
22087004KLWVLPKGGGCAmCollagen IVPLGA PEGThiol/Maleimide
22093292CSKCSKSSDYQCGoblet cellstrimethyl chitosan chloride (TMC)Amine/Carboxylate
22118776TRAILhTRAIL(114–281)DR4, DR5 ECDHSA NPsThiol/Maleimide
22133551Angiopep-2TFFYGGSRGKRNNFKTEEYLRP Receptor ECDPEG-co-poly(ε-caprolactone)Thiol/Maleimide
22179825tLyp-1CGNKRTRYesNeuropilin-1/2 ECDIron oxide nanoworms (NWs)Biotin/Neutravidin
22196766Pep 1CHVLWSTRCYesPancreatic islet capillary endothelial cellsPLGA-b-PEGAmine/Carboxylate
22197725CLL1-L1CDLRSAAVCYesCLL1PEG nanomicelle telodendrimerClick Chemistry: Alkyne/Azide
22375916RGDcRGDfKYesαvβ3 integrinAuNPsAmine/Carboxylate
22396491OA02cdG-HoCit-GPQc-Ebes-K-alkyneα-3 integrinPEG telodendrimerClick Chemistry: Alkyne/Azide
22403681Tet-1HLNILSTLWKYRMotor neuronsPLGAAmine/Carboxylate
22497548RGDcyclic RGDYesαvβ3 integrinPEG-PEIElectrostatic interaction
22533630RGDc(RGDyK)Yesαvβ3 integrinUCNPAmine/Carboxylate
22559746RGDcRGDYesαvβ3 integrinCMCAmine/Carboxylate, Thiol/Maleimide
22560667RGDc(RGDyK)Yesαvβ3 integrinIron Oxide NPsThiol/Maleimide
22561668GRGDSGRGDSαvβ3 integrinMBCSP (PLGA-magnetite)Amine/Carboxylate

There have been numerous effective in vitro peptides (e.g. targeting protein kinase CK2, glioma, FGF receptor, and many others). Finding peptides that work in an in vivo setting, however, appears more challenging as they are prone to proteolysis, glomerular transit, feature varying toxicities and differential effects on cell signaling, can encourage allergic sensitization, and are not amenable to oral bioavailability [52-54]. In addition, the costs of peptide synthesis can be prohibitive for some special applications [52].

Protein Domains

Targeting ligands based on full-length antibodies have several intrinsic disadvantages compared to ligands with much smaller sizes. First, the large sizes of the full-length antibodies limit the number of antibody molecules that can be accommodated on the surface of nanoparticles. Second, full-length antibodies are composed of multiple light and heavy chains that are linked through disulfide bonds. Such structure complicates its expression level and makes it difficult to achieve site-specific conjugation with nanoparticles. Third, it is both challenging and time-consuming to systematically engineer a full-length antibody with optimized targeting-binding parameters. Considerable effort has been directed to the reduction of the size of antibodies and the development of smaller binding units with antibody-like specificity and affinity. An ideal targeting ligand should be a highly soluble small protein with high stability and minimal aggregation, while it can be highly expressed in bacteria with much lower manufacturing costs. In addition, it should possess functional residues that facilitate conjugation with nanoparticles, preferably in a site-specific manner. The use of antibody fragments represents an interesting compromise in the selection of target specific affinity molecules. The smallest antibody fragments are those based on a single domain, such as naturally occurring heavy-chain antibodies found in camelids (nanobody) and humans (VH domains) [55-66]. These single-domain antibody fragments are well expressed, quite soluble and stable, and yet still able to maintain the specificity and affinity comparable to scFvs. A different approach is to select single domain antibody mimics from partially randomized libraries based on protein scaffolds related or not related to natural antibodies [67]. Scaffolds that have been used to construct single domain protein libraries include immunoglobulin-like β-barrel, zinc fingers, α-helical bundles, Src homology domains, PDZ domains, various repeat proteins, protease inhibitors, and disulfide-bond constrained small toxins [67-74]. Among them, targeting ligands based on FN3 (the tenth type III domain of human fibronectin), Z domain, and DARPins are most promising [1]. Several examples of protein domain based ligands that are suitable for targeted delivery of nanoparticles include FN3-based ligands (monobody) that recognize VEGF receptor and integrin αvβ3, Z domain based ligands (affibody) that recognize EGFR and HER2, and DARPin based ligands that recognizes HER2.

Compared to the number of nanoparticle applications utilizing antibodies and peptides for targeting, relatively few studies from the reviewed period (2007-2012) employed protein domains or non-immunoglobulin antibody mimics (Table 6). These targeting ligands include neurotoxin, transferrin, nanobody, affibody, and other protein domains. Though applications are fewer, protein domain nanoparticle targeting are highly promising, as compared to antibodies and peptides, for targeted delivery of nanoparticles.

Table 6

Recent examples of targeted nanoparticles using protein domains.

PMID#ProteinTargetNanoparticleConjugation Chemistry
17964677apolipoprotein B-100, LDLR binding domainLDL ReceptorMicelleNon-covalent interaction
18076008C-termini of clostridium/botulinum neurotoxins (THC, BHC)GT1bABCD NPsThiol/Maleimide
19173297hepatitis B surface antigen (HBsAg), preS1 domainHepG2 cell lineMicelleEster replacement
20959824anti-IGFBP7GBMPEG-Fe3O4 NPsNHS ester
21306773LFA-1, I domainICAM-1LiposomeNi/His tag
216090272Rb18a nanobodyHER2AuNPsThiol/Maleimide
21609027N7 nanobodyPSAAuNPsThiol/Maleimide
21302357Affibody-EGFREGFRAu-Silica NPsThiol/Maleimide
21508310Affibody-EGFREGFRAu-Silica NPsThiol/Maleimide
21351748Affibody-HER2HER2Polymeric nanosphereAmine/Carboxylate
21147502Affibody-HER2HER2NIR QDs and IO NPsThiol/Maleimide
20801029Affibody-HER2HER2Bionanocapsules (BNCs)Genetically displayed
19012296Affibody-HER2HER2PLA-PEG polymeric NPsThiol/Maleimide
18937120Affibody-HER2HER2Thermosensitive liposomesThiol/Maleimide
21753879adiponectin, globular domain (gAd)Atherosclerotic plaquesProticleNon-covalent interaction
21753879adiponectin, globular domain (gAd)Atherosclerotic plaquesLiposomeThiol/Maleimide
22013169anti-IGFBP7 single-domain antibodyIGFBP7SPIONAmine/Carboxylate
22037106Heptameric Z (EGFR)EGFRNi-lipid NPsNi/His tag
22118776TransferrinTransferrin ReceptorHSA NPsThiol-maleimide
22410170gp120DC-SIGNPLGABiotin, streptavidin

Antibodies

The idea of using nanoparticle technology as a drug delivery platform is not new, dating back to the development and investigation of polyalkylcyanoacrylate nanoparticles in the early 1980s [24, 25]. Antibodies were used in this pioneering research because, at this time, the work of Pimm and coworkers in the early 1980s notably predated the development of phage display screening of short peptide libraries [26], yet hybridoma technology had existed for almost a decade [27].

Following Pimm's work, Vaughan and coworkers developed a method of displaying human mAb fragments in a bacteriophage display system [28], which led to the FDA-approved recombinant human mAb Humira for the treatment of rheumatoid arthritis [29]. Another method, described by Russell and Lonberg, created a transgenic mouse whose murine antibody genes were replaced by human versions [30, 31]. Vectibix, a human anti-EGFR that can be used to treat colorectal cancer, was developed using transgenic mice [32]. Other approaches focused on the modification of existing murine mAbs into murine/human chimeras for the purpose of improving their pharmacokinetics [33].

Antibodies, which were considered originally as targeting ligands due to their availability to research and their attributes as specific, in vivo targeting ligands without reliance on tumor enhanced permeability and retention (EPR), gained greater utility as nanoparticle targeting ligands from the aforementioned advances. For in vivo therapeutics, the continued use of antibodies as nanoparticle targeting ligands is due largely to various developments that have overcome the problems of cross-species antibody immunogenicity. Consequently, therapeutic mAb development for the purpose of translation to the clinic remains an active field and, therefore, mAbs persist as major nanoparticle targeting ligands.

A review of papers describing antibody-guided nanoparticles from 2003 to 2012 (Table 4) reveals that most targeting antibodies are monoclonal and mostly murine, though some antibodies from other species, and polyclonals from rabbit, have been effective, as well as some chimeric [34-36] and humanized antibodies [13, 37, 38]. The majority of these antibodies target the extracellular domains (ECDs) of cell surface proteins, which is logical considering their intended application as in vivo targeted nanoparticles, the exception being a diagnostic sensor of NANOG, a transcription factor, composed of a graphite AuNP-coated film [39]. These antibodies have been successfully conjugated to a variety of nanoparticles, from metallic NPs (e.g. AuNPs, SPIONs, Tc), polymers (e.g. PLGA, chitosan, HDDP), micelles and liposomes, to silica and quantum dots. However, most of the conjugation techniques employed lack directionality, presumably due to the presence of multiple reactive functional groups on antibodies, yielding heterogeneous antibody orientations on the nanoparticles.

Table 4

Recent examples of targeted nanoparticles using antibodies.

PMID#AntibodyAntibody
Type
SourceTargetNanoparticlesConjugation
Chemistry
22394186ab76586Monoclonal Mouse IgG1AbcamNANOG*Graphite AuNP-coated filmAmine/Carboxylate
22394186ab84231Polyclonal Rabbit IgGAbcamNANOG*Graphite AuNP-coated filmAmine/Carboxylate
20825223TrastuzumabMonoclonal HumanizedHER2 ECDMagnetic nanocrystalsNon-covalent interaction
18767886E2156Monoclonal Mouse IgG1SigmaEGFR ECDAuNPsNon-covalent interaction
18606202mAb62Monoclonal Mouse IgG2aPECAM-1 ECDPolystyreneBiotin/Streptavidin
18606202mAb35Monoclonal Mouse IgG1PECAM-2 ECDPolystyreneBiotin/Streptavidin
18606202mAbGi34Monoclonal Mouse IgG1PECAM-3 ECDPolystyreneBiotin/Streptavidin
18606202mAb4G6Monoclonal Mouse IgG2bPECAM-4 ECDPolystyreneBiotin/Streptavidin
18606202mAb37Monoclonal Mouse IgG1PECAM-5 ECDPolystyreneBiotin/Streptavidin
22107797ATCC 27660Polyclonal Rabbit IgGViroStatStaphylococcus aureusPolylactideNon-covalent interaction
21748635TrastuzumabMonoclonal Humanized Mouse IgG1HER2 ECDTcBiotin/Streptavidin
2206574529D7Monoclonal Mouse IgG1WyethTrkB ECDSPIONsRat anti-mouse IgG1 capture
22011314Ritux (rituximab)Monoclonal Chimeric IgGBC Cancer AgencyCD20 ECDPEG Lipid NPThiol/Maleimide
22114481MAB1609Monoclonal Mouse IgG1, IgMChemiconCytokeratin 7/8 ECDSPIONsAmine/Carboxylate
223245437.16.4Monoclonal MouseUCSF Monoclonal Antibody CoreRat neu ECDSPION-chitosan-g-PEGThiol/Maleimide
22349096C225 (cetuximab, erbitux)Monoclonal Chimeric IgG1Bristol-Myers SquibbEGFR ECDAuNPsAmine/Carboxylate, Au/Thiol
22410170Q5/13Monoclonal Mouse IgG2aBeckman CoulterHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD83Monoclonal Mouse IgG1Beckman CoulterHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD69Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD80Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CD86Monoclonal Mouse IgG1BD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170CCR7Monoclonal Rat IgG2aBD BiosciencesHLA-DR/DP ECDPLGABiotin/Streptavidin
22410170AZN-D1 (αDC-SIGN1)Monoclonal Mouse hybrid IgG2/IgG4Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170AZN-D2Monoclonal Mouse IgG2Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170Ab hD1 (αDC-SIGN2)Monoclonal Humanized IgG2/4Alexion PharmaceuticalsDC-SIGN ECDPLGABiotin/Streptavidin
22410170H200 (αDC-SIGN3)Polyclonal Rabbit IgGSanta Cruz BiotechnologyDC-SIGN ECDPLGABiotin/Streptavidin
22464249Colo205MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
22464249sw480MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
22464249NCM460MonoclonalFMMU, ChinaEpCAM ECDSilica NPsNaIO4 oxidation
224692959B9Monoclonal RatShJU, ChinaEGFR ECDPHPA-PEINon-covalent interaction
22494888Anti-CD44MonoclonalBD BiosciencesCD44 ECDPEG-LiposomeThiol/Maleimide
22471719C225 (cetuximab, erbitux)Monoclonal ChimericEGFR ECDPLGA-ZnS:Mn2+Amine/Carboxylate
22515817MonoclonalBD BiosciencesIL-6Fe3O4@SiO2Glutaraldehyde
22515817MonoclonalBD BiosciencesIFN-γFe3O4@SiO3Glutaraldehyde
22515817MonoclonalBD BiosciencesAFP (alpha-fetoprotein)Fe3O4@SiO4Glutaraldehyde
18239128FIB504Monoclonal Rat IgG2aβ7 integrin ECDMultilamellar LiposomeAmine/Carboxylate
14512622PolyclonalPSA ECDAuNPsNon-covalent interaction
14512622MonoclonalPSA ECDIron Oxide NPsGlutaraldehyde/Amine
21838300anti-TM34-211Monoclonal Rat IgG2aMurine thrombomodulin ECDPEO-filomicellesBiotin/Streptavidin
21838300anti-TM201-411Monoclonal Rat IgG2aMurine thrombomodulin ECDPEO-filomicellesBiotin/Streptavidin
21976974TrastuzumabMonoclonal Humanized Mouse IgG1RocheHER2 ECDChitosan NPsThiol/Maleimide
21976975anti-DR5Monoclonal Humanized IgG2bSanta Cruz BiotechnologyDR5 ECDPLAAmine/Carboxylate
22072868LCCS AbsPolyclonal Mouseliver cancer cell surface-specific (LCCS)AuNPsNon-covalent interaction
22035507Anti-Her2 AbMonoclonal Mouse IgG1Bender MedSystems (eBioscience)HER2Iron Oxide NPsAmine/Carboxylate
21980236Anti-EGFR AbMonoclonal ChimeraBeijing Zhong Shan CompanyEGFRQuantum Dots (QD800)Thiol/Maleimide
22032622ScFv-EGFRScFvEGFRHDDPAmine/Carboxylate

Antibody targeting of nanoparticles face several major challenges: antigen binding (the mAb must have high target specificity and affinity and the linker, as well as NPs, must not perturb the desired specificity), conjugation (the Ab-NP linkage must be highly efficient and site-specific), and circulation time (the mAb-NP conjugate linker must be stable during circulation). In addition, immunogenicity and purity are other concerns. The body can perceive antibodies as foreign proteins and clear them, nullifying the action of the targeted NPs. Many conjugation techniques, such as those exploiting lysine side-chain amines and cysteine sulfhydryl groups, yield heterogeneous mixtures of targeted NPs, each with differing Ab:NP molar ratios, conjugation sites, pharmacokinetics, and safety profiles.

Peptides

Much smaller than antibodies but larger than small molecules, short homing peptides offer additional nanoparticle targeting options, and certain advantages over the aforementioned targeting ligands. The design of a small molecule that fits into a usually shallow and hydrophobic binding pocket can be challenging. As a compromise between small molecules and antibodies, short peptides provide smaller size, as well as high specificity and affinity.

Targeting homing peptides are typically discovered via phage display, first developed in 1985. Phage display is a screening tool for peptides, allowing selection of peptide sequences with increased affinities to a specific target of choice [40, 41]. The phage display system is a cyclic selection process, where the purified target molecules or specific cell types are incubated with a randomized library of peptide sequences displayed on bacteriophage capsids. Some peptides bind to the target protein, and nonspecific binders are washed away with the specific binders eluted. Binding peptide sequences-bacteriophages are collected, which infect E. Coli and is amplified, followed by additional cycles of selection. Selected peptides have been used as molecular probes for imaging and can be applied as therapeutics as well.

There are numerous publications using short homing peptides to target nanoparticles during the past decade. Studies from 2011-2012 using peptides as nanoparticle targeting ligands (Table 5) predominantly utilized ligands discovered via phage display. Some used natural peptides, such as EGF [42, 43], CANF [44], and Angiopep-2 [45]. About 30% of reviewed papers used cyclic peptides, though this percentage is influenced by the popularity of the RGD peptide as a targeting ligand to αvβ3 integrin [46-51]. All studies targeted cell surface proteins. As with antibodies, the used peptides were successfully conjugated to a variety of nanoparticles, such as metallic NPs (e.g. gadolinium oxide, SPIONs, AuNPs, MBCSPs), micelles and polymers (e.g. chitosan, PLGA, poly(methyl methacrylate)), and dendrimers. Han and coworkers provide an interesting alternative to the typical nanoparticle formulations and conjugation paradigms [42]. They expressed targeting peptides recombinantly fused to the 97 kDa major vault protein (MVP), which self-assembles into Vault Nanoparticles – naturally-occurring nanoparticles present in cell cytoplasm composed of ribonucleoproteins. At times, the orientation of the conjugated peptides in the reviewed studies can be problematic but this is controlled in some applications at the level of peptide synthesis, typically through the additional of a unique functional group to peptide termini, allowing for site-specific conjugation with nanoparticles.

Table 5

Recent examples of targeted nanoparticles using short homing peptides.

PMID#PeptideSequenceCyclicTargetNanoparticleConjugation
Chemistry
21726134ATWLPPRATWLPPRNeuropilin-1 ECDGd2O3 in polysiloxane shellAmine/Carboxylate
21740042EGFEGFR ECDVault nanoparticlesRecombinant fusion
21763734NGRNGRCD13 ECDELP MicelleNon-covalent interaction
21781994S2PCRTLTVRKCStabilin-2 ECDChitosanAmine/Carboxylate, Thiol/Maleimide
21871505EGFEGFR ECDGemC18 NPsThiol/Maleimide
21945679I4RCRKRLDRNCIL-4R ECDHydrophobically modified glycol chitosanAmine/Carboxylate
21987727AH1SPSYVYHQFMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727TRP2180–188SVYDFFVWLMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727PAn DR epitope (PADRE)aKXVAAWTLKAAaZCMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
21987727HA110–120SFERFEIFPKECMHC Class II ECDG5-PAMAM dendrimerThiol/Maleimide
22014944iRGDCRGDKGPDCαvβ3, αvβ5PLGA-PLL-PEGThiol/Maleimide
22049461CANFNPR-C ECDpoly (methyl methacrylate)-PEGMethacrylate/Acetylene
22087004KLWVLPKGGGCAmCollagen IVPLGA PEGThiol/Maleimide
22093292CSKCSKSSDYQCGoblet cellstrimethyl chitosan chloride (TMC)Amine/Carboxylate
22118776TRAILhTRAIL(114–281)DR4, DR5 ECDHSA NPsThiol/Maleimide
22133551Angiopep-2TFFYGGSRGKRNNFKTEEYLRP Receptor ECDPEG-co-poly(ε-caprolactone)Thiol/Maleimide
22179825tLyp-1CGNKRTRYesNeuropilin-1/2 ECDIron oxide nanoworms (NWs)Biotin/Neutravidin
22196766Pep 1CHVLWSTRCYesPancreatic islet capillary endothelial cellsPLGA-b-PEGAmine/Carboxylate
22197725CLL1-L1CDLRSAAVCYesCLL1PEG nanomicelle telodendrimerClick Chemistry: Alkyne/Azide
22375916RGDcRGDfKYesαvβ3 integrinAuNPsAmine/Carboxylate
22396491OA02cdG-HoCit-GPQc-Ebes-K-alkyneα-3 integrinPEG telodendrimerClick Chemistry: Alkyne/Azide
22403681Tet-1HLNILSTLWKYRMotor neuronsPLGAAmine/Carboxylate
22497548RGDcyclic RGDYesαvβ3 integrinPEG-PEIElectrostatic interaction
22533630RGDc(RGDyK)Yesαvβ3 integrinUCNPAmine/Carboxylate
22559746RGDcRGDYesαvβ3 integrinCMCAmine/Carboxylate, Thiol/Maleimide
22560667RGDc(RGDyK)Yesαvβ3 integrinIron Oxide NPsThiol/Maleimide
22561668GRGDSGRGDSαvβ3 integrinMBCSP (PLGA-magnetite)Amine/Carboxylate

There have been numerous effective in vitro peptides (e.g. targeting protein kinase CK2, glioma, FGF receptor, and many others). Finding peptides that work in an in vivo setting, however, appears more challenging as they are prone to proteolysis, glomerular transit, feature varying toxicities and differential effects on cell signaling, can encourage allergic sensitization, and are not amenable to oral bioavailability [52-54]. In addition, the costs of peptide synthesis can be prohibitive for some special applications [52].

Protein Domains

Targeting ligands based on full-length antibodies have several intrinsic disadvantages compared to ligands with much smaller sizes. First, the large sizes of the full-length antibodies limit the number of antibody molecules that can be accommodated on the surface of nanoparticles. Second, full-length antibodies are composed of multiple light and heavy chains that are linked through disulfide bonds. Such structure complicates its expression level and makes it difficult to achieve site-specific conjugation with nanoparticles. Third, it is both challenging and time-consuming to systematically engineer a full-length antibody with optimized targeting-binding parameters. Considerable effort has been directed to the reduction of the size of antibodies and the development of smaller binding units with antibody-like specificity and affinity. An ideal targeting ligand should be a highly soluble small protein with high stability and minimal aggregation, while it can be highly expressed in bacteria with much lower manufacturing costs. In addition, it should possess functional residues that facilitate conjugation with nanoparticles, preferably in a site-specific manner. The use of antibody fragments represents an interesting compromise in the selection of target specific affinity molecules. The smallest antibody fragments are those based on a single domain, such as naturally occurring heavy-chain antibodies found in camelids (nanobody) and humans (VH domains) [55-66]. These single-domain antibody fragments are well expressed, quite soluble and stable, and yet still able to maintain the specificity and affinity comparable to scFvs. A different approach is to select single domain antibody mimics from partially randomized libraries based on protein scaffolds related or not related to natural antibodies [67]. Scaffolds that have been used to construct single domain protein libraries include immunoglobulin-like β-barrel, zinc fingers, α-helical bundles, Src homology domains, PDZ domains, various repeat proteins, protease inhibitors, and disulfide-bond constrained small toxins [67-74]. Among them, targeting ligands based on FN3 (the tenth type III domain of human fibronectin), Z domain, and DARPins are most promising [1]. Several examples of protein domain based ligands that are suitable for targeted delivery of nanoparticles include FN3-based ligands (monobody) that recognize VEGF receptor and integrin αvβ3, Z domain based ligands (affibody) that recognize EGFR and HER2, and DARPin based ligands that recognizes HER2.

Compared to the number of nanoparticle applications utilizing antibodies and peptides for targeting, relatively few studies from the reviewed period (2007-2012) employed protein domains or non-immunoglobulin antibody mimics (Table 6). These targeting ligands include neurotoxin, transferrin, nanobody, affibody, and other protein domains. Though applications are fewer, protein domain nanoparticle targeting are highly promising, as compared to antibodies and peptides, for targeted delivery of nanoparticles.

Table 6

Recent examples of targeted nanoparticles using protein domains.

PMID#ProteinTargetNanoparticleConjugation Chemistry
17964677apolipoprotein B-100, LDLR binding domainLDL ReceptorMicelleNon-covalent interaction
18076008C-termini of clostridium/botulinum neurotoxins (THC, BHC)GT1bABCD NPsThiol/Maleimide
19173297hepatitis B surface antigen (HBsAg), preS1 domainHepG2 cell lineMicelleEster replacement
20959824anti-IGFBP7GBMPEG-Fe3O4 NPsNHS ester
21306773LFA-1, I domainICAM-1LiposomeNi/His tag
216090272Rb18a nanobodyHER2AuNPsThiol/Maleimide
21609027N7 nanobodyPSAAuNPsThiol/Maleimide
21302357Affibody-EGFREGFRAu-Silica NPsThiol/Maleimide
21508310Affibody-EGFREGFRAu-Silica NPsThiol/Maleimide
21351748Affibody-HER2HER2Polymeric nanosphereAmine/Carboxylate
21147502Affibody-HER2HER2NIR QDs and IO NPsThiol/Maleimide
20801029Affibody-HER2HER2Bionanocapsules (BNCs)Genetically displayed
19012296Affibody-HER2HER2PLA-PEG polymeric NPsThiol/Maleimide
18937120Affibody-HER2HER2Thermosensitive liposomesThiol/Maleimide
21753879adiponectin, globular domain (gAd)Atherosclerotic plaquesProticleNon-covalent interaction
21753879adiponectin, globular domain (gAd)Atherosclerotic plaquesLiposomeThiol/Maleimide
22013169anti-IGFBP7 single-domain antibodyIGFBP7SPIONAmine/Carboxylate
22037106Heptameric Z (EGFR)EGFRNi-lipid NPsNi/His tag
22118776TransferrinTransferrin ReceptorHSA NPsThiol-maleimide
22410170gp120DC-SIGNPLGABiotin, streptavidin

Targeting with Aptamers

Since their development in 1990 by the Szostak, Gold, and Joyce groups, aptamers have existed as a separate class of binding molecules [75]. Aptamers are short single-stranded nucleic acids (RNA or DNA) capable of displaying diverse structures with the potential of binding many biochemical targets, from small molecules to large proteins. This ability derives from aptamer sequences; a designed 5’ and 3’ consensus region about 12-20 nucleotides in length flanks a central region of totally or partially randomized nucleotides. The random region determines the diversity of the aptamer pool, which typically achieves 1×10 to 1×10 unique sequences. The high sequence and conformational diversity of naïve aptamer pools (not yet selected against a target) makes the discovery of target binding aptamers highly likely. The selection of aptamers capable of binding a target of interest is called ‘Systematic Evolution of Ligands by EXponential enrichment’ (SELEX) [76]. SELEX involves iterative rounds of target binding, partitioning binding from non-binding sequences, and amplification of the enriched binding sequences. Several SELEX variants have been developed since 1990, such as whole cell surface-SELEX (Cell-SELEX) [77, 78], which ensures the selection of aptamers capable of binding the bioactive forms of target proteins on the cell surface. Other conventional SELEX strategies vary in the means of partitioning unbound nucleic acids from target-bound aptamers: cutoff membranes, flow cytometry, EMSA, and capillary electrophoresis.

Aptamers are uniquely suited to nanoparticle targeting. First, it is possible to synthesize aptamers with a specific functional moiety, such as a carboxylate, amino, sulfhydryl or aldehyde, at only one end of the nucleic acid aptamer. This ensures and greatly facilitates site-specific conjugation and prevents the formation of heterogeneous mixtures. Second, aptamers are typically non-immunogenic [79]. Third, many other attributes make aptamers attractive for nanoparticle targeting, such as being non-toxic [79-81] and modifiable for stability in circulation [82]. They can be selected in vitro and in vivo, and be repeatedly and reversibly denatured. Moreover, as aptamers are not dependent on animals or their immune responses, aptamers can be selected against weakly immunogenic targets and toxins. The ability to chemically synthesize aptamers infers little batch variation [83]. They are much smaller than antibodies and can form compact structures, allowing them to bind clefts, binding sites, and enzymatic active sites, which is difficult, if not impossible, for antibodies to achieve [84].

The degradative activity of biologically-abundant nucleases on nucleic acids has been a major barrier to in vivo aptamer-targeted nanoparticle applications. Attempts at translating RNA aptamers for use as therapeutics have focused on replacement of the nuclease-susceptible 2’-hydroxyl RNAs with other moieties. RNAs containing 2’-fluoro and 2’-O-methyl pyrimidines, which can be generated by in vitro transcription with an appropriate T7 RNA polymerase mutant, have known partial resistant to nucleases [85, 86]. The development of aptamers with higher levels of 2’-modification requires lengthy, expensive, and tedious post-selection optimization. The development of the FDA-approved aptamer Macugen (Pegaptanib), for example, involved the selection of an initial anti-VEGFR aptamer (NX1838) bearing 2’-fluoropyrimidines only [87]. NX1838 was then subjected to tedious and time-consuming post-selection modifications involving the selective substitution of purines one-by-one with 2’-O-methyl purines. Systematic testing indicated that all but two natural 2’-hydroxyl purines could be replaced with 2’-O-methyl purines.

Nuclease resistant aptamers that specifically bind to the extracellular domains of transmembrane cancer biomarkers, such as integrin αvβ3, VEGF receptor, EGF receptor, HER2, HER3, MUC1, PSMA, and receptor tyrosine kinase RET, can be used to direct nanoparticles to tumor tissues. Of the reviewed studies (2004-2012) (Table 7) that used aptamers as nanoparticle targeting ligands, all used aptamers to cell surface biomarkers and used either DNA (62%), unmodified RNA (17%), or modified RNA (21%). Compared to numerous RNA nucleases, there are relatively fewer DNases in vivo. DNA aptamers do, however, suffer from characteristics that can complicate their in vitro selection via SELEX, such as the formation of hard to manage G-tetrads. Of those studies using unmodified RNA aptamers, two chose nanoparticles that confer nuclease resistance to the aptamers. Li and coworkers employed AuNPs, which maintained a halocline immediately surrounding the AuNP, yielding a blanketing solution layer of high ionic character that discourages nuclease activity [88, 89]. In another instance, Lee and coworkers found that PSMA-specific RNA A9 aptamer conjugated to dendrimers was nuclease-resistant 24 hours post-exposure [90]. Yu and coworkers intentionally used nucleases as a means of releasing intercalated doxorubicin from A9 aptamers targeting nanoparticles to PSMA [91].

Table 7

Recent examples of targeted nanoparticles using aptamers.

PMID#AptamerAptamer TypeTargetNanoparticleConjugation Chemistry
15520166A10Modified RNA, 2′-F C/U, 3′ inverted dT capPSMAPLAAmine/Carboxylate
16495043A9Modified RNA, 2′-F C/UPSMAStreptavidin Quantum DotsHydrazide
18512972A9Unmodified RNAPSMAAuNPsBase-pairing hybridization
18978032A10Modified RNA, 2′-F C/UPSMAPLGA-b-PEGAmine/Carboxylate
19377681sgc8cDNACCRF-CEM (T-cell acute lymphoblastic leukemia, T-cell ALL) cellsFCNPsAmine/Carboxylate
20024341sgc8DNACCRF-CEM (T-cell acute lymphoblastic leukemia, T-cell ALL) cellsPegylated LiposomeThiol/Maleimide
20066302J18Unmodified RNAEGFRAuNPsBase-pairing hybridization
20080797TDO5DNAimmunoglobin heavy mu chain receptorAptamer-PEG-Lipid NPsNon-covalent interaction
20947949GB-10DNAtenascin-cDextran Magnetic NPsAmine/Carboxylate
21233423A10Modified RNA, 2′-F C/U, 3′ inverted dT capPSMAPLGA-b-PEGAmine/Carboxylate
21281497apt1Unmodified RNA, 2′-Ome terminiCD30PEI-citrateNon-covalent interaction
21342659MUC1DNAMUC1Quantum DotAmine/Carboxylate
21530479Ky2DNAKanamycin, kanamycin B, tobramycinAuNPsNon-covalent interaction
21641946A9Unmodified RNAPSMAPAMAM dendrimerBase-pairing hybridization
21648076A9Unmodified RNAPSMATCL-SPIONAmine/Carboxylate
21732610MUC1DNAMUC1Three-dimensional (3D) DNA polyhedraSelf-assembly
21788069AS1411DNAnucleolinPEG-PLGAAmine/Carboxylate
21888350sgc8DNACCRF-CEM cell linePHMNPAmine/Carboxylate
21912664MUC1DNAMUC1PLGAAmine/Carboxylate
21936502A10Unmodified RNAPSMAQD–PMAT–PEIAmine/Carboxylate, Thiol/Maleimide
21942498sgc8cDNACCRF-CEM cell lineAuNPsGold/Thiol
21944470AS1411DNAnucleolinMagnetic Fluorescence NP (MF)Amine/Carboxylate
22214176XEO2 miniModified RNA, 2′-Ome C/A/UPC3, LNCaPDSPE-PLGAThiol/Maleimide
22424140sgc8cDNACCRF-CEM cell lineStreptavidin-coated MNPsBiotin/Streptavidin
22424140TDO5DNARamos leukemia cell lineStreptavidin-coated MNPsBiotin/Streptavidin
22424140T2-KK1B10DNAK562 leukemia cell lineStreptavidin-coated MNPsBiotin/Streptavidin
22424140KDED2a-3DNADLD1 colon cell lineStreptavidin-coated MNPsBiotin/Streptavidin
22424140KCHA10DNAHCT116 colon cell lineStreptavidin-coated MNPsBiotin/Streptavidin
22424140TLS11aDNALH86 liver cell lineStreptavidin-coated MNPsBiotin/Streptavidin

Across all reviewed studies, aptamers were conjugated to a variety of nanoparticles successfully, as with peptides and antibodies. Unlike peptides and antibodies, however, the maintenance of proper aptamer orientation was rarely a problem. Through the use of capture oligos conjugated first to the nanoparticle, followed by hybridization of the aptamer via a consensus sequence, or through the synthesis of targeting aptamers with a terminal biotin, thiol, or amine, directional conjugation was easily achieved.

Chimeras, Multifunctionalization, and other unconventional approaches

Attempts to improve nanoparticle performance, either therapeutically or diagnostically, have increasingly turned to multifunctional and, more recently, chimeric targeting systems. Multifunctional targeting involves the conjugation of various ligands within the same class (e.g. aptamers, peptides, etc.) but with different individual targets (e.g. HER3, tenascin-C, PSMA), whereas chimeric targeting uses targeting ligands across classes (e.g. an aptamer with a peptide). The installation of a multifunctional or chimeric targeting system into a nanoparticle-payload technology attempts to extend one or more key characteristics: cell uptake, target specificity, utilization of multiple targeting strategies, and attribute exploitation of multiple targeting ligands classifications. Recent examples of multifunctionalized nanoparticles are listed in Table 8, including those developed by Bhattacharyya and coworkers using anti-EGFR and MOV18 anti-folate receptor α antibodies [92], and those by Kluza and coworkers using Anx and RGD peptides [93]. Ko and coworkers actually used three targeting ligands to produce a nanoparticle with both multifunctional and chimeric features (DNA aptamer AS1411, DNA aptamer TTA1, and peptide RGD) [94].

Table 8

Recent examples of targeted nanoparticles using multifunctional and chimeric approaches.

PMID#Ligand
1
Ligand 1 Class
(Sequence)
Ligand 1
Target
Ligand
2
Ligand 2
Class
(Sequence)
Ligand
2 Target
Ligand
3
Ligand
3
Class
(Sequence)
Ligand
3
Target
NanoparticleConjugation
Chemistry
20155973Anti-
HER2
Antibody;
Monoclonal
HER2S6Aptamer,
RNA
HER2AuNPsAb:
Amine/Carboxylate;
Aptamer:
Thiol/Maleimide
21071077AS1411Aptamer, DNANucleolinTTA1Aptamer,
DNA
Tenascin-CRGDPeptide
(cRGDfk)
αvβ3
integrin
MNPsAmine/Carboxylate
21147500A10Aptamer, RNAPSMADUP-1Aptamer,
Peptide
PSMA (-)
cells
TCL-
SPION
Amine/Carboxylate
21971980C225
(cetuximab, erbitux)
Antibody;
Monoclonal,
Chimeric
EGFRMOV18Antibody;
Monoclonal,
Mouse
IgG1
Folate
Receptor α
AuNPsNon-covalent
interaction
22079810Anginex
(Anx)
Peptide
(ANIKLSVQMKLFKRHLKWKIIVKLNDGRELSLD)
galectin-1RGDPeptide
(cRGDfk)
αvβ3
integrin
LiposomesThiol/Maleimide
22118775RGDPeptide
(cRGDfk)
αvβ3
integrin
TransferrinGlycoproteinTransferrin
Receptor
HPAE-co-PLA/DPPEThiol/Maleimide
22342711RGDPeptide
(RGD)
αvβ3
integrin
DEVDPeptide
(DEVD)
Caspase
3
Au-Iron
Oxide
Gold/Thiol

The majority of nanoparticle targeting research aims at the specific delivery of nanoparticles via targeting ligands directed against endogenous differences between normal and pathologic tissues. Many other avenues of nanoparticle targeting research, however, are also under investigation. These include the ex vivo induction of molecular physiological changes, exploiting unique characteristics inherent in the pathologic environment, autologous harnessing of the immune system as an active participant in nanoparticle-based therapy, and the use of targeted bacteriophages, to name a few. Hariri and coworkers investigated the use of radiation to guide FePt nanoparticles to tumor sites using a short peptide that targets TIP-1 receptor, a receptor upregulated on endothelial cells in response to radiation-induced injury [94]. Basel and coworkers demonstrated that targeting ligands may not always be necessary for effective nanoparticle targeting via the exploitation of high concentrations of cancer-associated protease (CAP), such as urokinase plasminogen activator (uPA), matrix metalloproteases (MMPs), and some cathepsins, in dysplastic tissues [95]. In a radical shift of nanoparticle targeting strategy, Choi and Kennedy demonstrated that macrophages and human T cells could be loaded with gold nanoparticles (AuNPs) and used to deliver those AuNPs to tumor sites [96, 97]. Building off early bacteriophage work by Smith [98], many studies have used bacteriophages as nanoparticle platforms presenting weakly immunogenic targets for the purpose of provoking immune responses [99-102]. Most recently, Lee et al. combined bacteriophage, AuNPs, and magnetic beads for combined colorimetric protein detection and identification [103].

Conclusion

One of the most challenging problems in the targeted delivery of nanoparticles is to develop high-quality targeting ligands that can give rise to more specific accumulation of nanoparticles in tumors than in other tissues. Such smart molecules can be systematically developed through affinity selection from combinatorial libraries displaying small molecules, short peptides, antibodies and antibody fragments, engineered protein domains, and nucleic acid aptamers. The availability of these types of targeting ligands and their successful conjugation with nanoparticles will have significant applications in targeted imaging, diagnosis, and treatment of malignant tumors and other diseases that are based on nanotechnology.

Acknowledgments

The targeting ligand development work in the Liu lab was supported by National Institutes of Health Grants CA119343, CA151652 and CA157738 (to R.L.).

Eshelman School of Pharmacy and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7568
To whom correspondence should be addressed. Tel: (919) 843-3635 ude.cnu@uil_ehir

Abstract

One major challenge in nanomedicine is how to selectively deliver nanoparticles to diseased tissues. Nanoparticle delivery system requires targeting for specific delivery to pathogenic sites when enhanced permeability and retention (EPR) is not suitable or inefficient. Functionalizing nanoparticles is a widely-used technique that allows for conjugation with targeting ligands, which possess inherent ability to direct selective binding to cell types or states and, therefore, confer “smartness” to nanoparticles. This review illustrates methods of ligand-nanoparticle functionalization, provides a cross-section of various ligand classes, including small molecules, peptides, antibodies, engineered proteins, or nucleic acid aptamers, and discusses some unconventional approaches currently under investigation.

Abstract

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