Carolin
Thiele
a,
Dagmar
Auerbach
b,
Gregor
Jung
b,
Lian
Qiong
c,
Marc
Schneider
c and
Gerhard
Wenz
*a
aOrganic Macromolecular Chemistry, Saarland University, C4.2 Campus Saarbrücken. D-66123, Saarbrücken, Germany. E-mail: g.wenz@mx.uni-saarland.de; Fax: +49 681 302 3909; Tel: +49 681 302 3449
bDepartment of Biophysical Chemistry, Saarland University, B2.2 Campus SaarbrückenD-66123, Saarbrücken, Germany
cDepartment of Biopharmaceutics and Pharmaceutical Technology, Saarland University, A4.1 Campus SaarbrückenD-66123, Saarbrücken, Germany
First published on 23rd October 2010
Starch was oxidized with TEMPO for the synthesis of water-soluble copolymers of glucuronic acid and glucose. The carboxylate groups of these copolymers were conjugated with pteroic acid as cell-specific ligand for targeting to cancer cells. Stable spherical nanoparticles (NPs) were formulated mixing aqueous solutions of the anionic copolymers and of a cationic thioether of β-cyclodextrin (β-CD). Particle size distributions of NPs were investigated with DLS as the function of the charge ratio of the constituents. The smallest and most uniform particles with a diameter of about 130 nm were generated at a charge ratio of anion/cation close to 1, preferably 1.2. Stabilities and particle size distributions of these starch NPs were very satisfactory. The starch/β-CD NPs could be loaded with hydrophobic guest molecules like 1,4-dihydroxyanthraquinone (DHA), which served as a model for the important class of anthracycline antibiotics used in cancer therapy.
Still, the design of cell-selective molecular carriers is generally hampered by several drawbacks, stated in the following:
• The binding constant of the CD drug complex K has to be high enough, to avoid dissociation of the complex in the body fluid on its way to the target.
• Blood constituents, e.g. albumins, might bind competitively to the drug.
• Most CD derivates cannot overcome the barrier of cell walls and therefore cannot deliver the drug into a cell.
• Syntheses of CD derivatives with high binding potential and conjugated cell specific ligands are generally cumbersome.
The avoidance of most of theses drawbacks was accomplished via the incorporation of CD inclusion compounds of drugs within nanoparticles (NPs). Polymers and especially polymeric NPs are the most appropriate vehicles to overcome cell walls since they can enter cells through endocytosis.14 Especially cancer cells are known to take up nanoparticles of sizes between 50 and 150 nm with higher rates than healthy cells. This effect, named enhanced permeability and retention (EPR) effect15–18 is used in cancer therapy to target drugs passively preferentially in cancer cells. Attachment of cell-specific ligands, such as folate,19 and sugars,20 at the outer sphere of nanoparticles further increases the specificity of drug delivery.21 Spheric nanoparticles of well-defined size are obtained by various methods, such as polymerisation in mini-emulsions,22 or dispersion of hydrophobic polymers, e.g. PLGA,23PLA,24 chitosan,25 and starch26 or CD derivates27,28 by emulsion techniques and by interaction of polyelectrolytes, or by combination of oppositely charged polyelectrolytes leading to so-called polyplexes or nanoplexes.29
Nanoplexes from DNA and cationic polymers, such as PEI,30 had been extensively investigated for gene delivery. Nanoparticles from synthetic polymers, e.g. polyamidoamine dendrimers and dicarboxylic acids,31 di- and tri-sulfonic acids32 and of low molecular weight chitosan and polyglutamic acid,33 are also known. Precautions have to be taken to avoid infinite growth, known as Ostwald ripening, which results in the precipitation of the particles. A solution to this problem is the conjugation of neutral water-soluble polymer blocks (e.g. polyethylene glycol) to the polyelectrolyte which shield aggregation sterically.34 In addition, the nanoplexes were chemically crosslinked for reasons of stabilization.35,36 Another solution for this problem is the stepwise layer by layer assembly of polyelectrolytes starting from a template particle, e.g. a drug, leading to microscopic capsules.37
The assembly of nanoplexes from anionic starch derivates and cationic CD thioethers, which can be loaded by hydrophobic drug molecules, will be described in the following. Furthermore, cell specific ligands could be conjugated to the starch derivative to allow cell-specific targeting. Dihydroxyanthraquinone (DHA) was chosen as a model compound for anthraquinone antibiotic drugs, since it is stable, readily available, nontoxic, and very sensitively detectable through its UV-vis absorbance and fluorescence. Furthermore, DHA forms very stable and water soluble inclusion compounds (K = 453000 M−1) with the cationic CD thioether 1, as described previously (Fig. 1).7
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Fig. 1 Structure of the cationic CD derivative 1 and dihydroxyanthraquinone (DHA). |
Nanoparticles were examined by scanning force microscopy (AFM) with a Bioscope equipped with a Nanoscope IV controller from Digital Instruments, Veeco, Santa Barbara, CA, USA. Samples were dried under a stream of compressed air after deposition on muscovite mica (Plano GmbH, Wetzlar, Germany) and investigated under ambient conditions in tapping mode using a scanning probe (Anfatec, Oelsnitz, Germany) with a force constant of 40 N m−1 at a resonant frequency of 170 kHz.
Fluorescence correlation spectroscopy (FCS) was performed on a home-built setup.40 The nanoparticles were excited by a frequency-doubled diode laser operating at λ = 488 nm (Picarro, Soliton GmbH). Focussing as well as fluorescence light collection was achieved by an objective lens (63× WI, NA 1.2, Zeiss). After passing a confocal pinhole with a diameter of 50 µm and a fluorescence filter (HQ 590/70, AHF Analysentechnik), the fluorescence photons were detected by a pair of avalanche photodiodes (SPCM-14-AQR, Perkin-Elmer Optoelectronics) and cross-correlated by a hardware correlator (Flex-02-D, http://correlator.com/). The obtained autocorrelation traces were analyzed according to the two-dimensional diffusion model g(τ) = 1 + N−1(1 + τ/τdiff)−1.41 The hydrodynamic diameter was calculated using green fluorescent protein as the reference with a hydrodynamic radius of 2.8 nm.42 Details are reported elsewhere.40
Nanoparticles were centrifuged to bottom at 13000 rpm for 20 h using a Biofuge A from Heraeus Sepatech to separate the nanoparticles from the supernatant.
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Fig. 2 Scheme of the syntheses of anionic starch derivatives 2 and 4. |
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Fig. 3 Influence of the molar ratio of the oxidative agent NaOCl per glucose unit on the DS of COOH groups in resulting polymer 2. |
The anionic polymers 2 were partially conjugated at the carboxylate groups with N-(6-aminohexyl)-pteroylamide 3. The latter was synthesized by reaction of pyrofolic acid39 and 1,6-diaminohexane. The pteroyl group is known to be a specific ligand for cancer cells similar to folate groups, especially if it is conjugated via a spacer group.46 The pteroyl derivative was chosen since its conjugation chemistry was easier to perform than the one of folate. The conjugation was performed in DMSO solution at 50 °C with N,N′-dicyclohexylcarbodiimide DCC and 1-hydroxybenzotriazole HOBt as the coupling agents.
The DS of pteroate groups conjugated to the copolymer backbone was determined through its absorption band at λ = 280 nm (ε = 23400 M−1 cm−1) in aqueous solution. DS values per repeat unit (Table 1) ranged from 0.008 to 0.25 in copolymer 4 depending on the stoichiometric ratio of pteroyl derivative 3 over the carboxylate groups of copolymer 2, ranging from 0.1 to 0.5. Solubilities of the products in water decreased with increasing DS of pteroyl groups. Polymer 4d with DSpteroate = 0.25 was only sparingly water soluble, while polymers with DSpteroate > 0.25 were insoluble in water. The pteroyl moiety resembles the guanidine group which forms strong intermolecular hydrogen bonds, so-called G-quartets.47 Therefore polymer 4b with a low DSpteroate = 0.023 was chosen for the following experiments to avoid aggregation in water.
Molar ratio ligand/COOH | DS (pteroate) | |
---|---|---|
4a | 0.1 | 0.008 |
4b | 0.2 | 0.023 |
4c | 0.3 | 0.077 |
4d | 0.5 | 0.250 |
4e | 1.0 | Insoluble |
Most particle size distributions were monomodal with polydispersity indices 0.05 < PDI < 0.3. Broad bimodal size distributions were found when the charge ratio a/c was higher than 10. For both polymers 2 and 4 the obtained main particle diameter d depended on the stoichiometric ratio a/c of anionic groups over cationic groups of the constituents as shown in Fig. 4. The smallest particle sizes d and the lowest PDIs were found around a/c = 1, see Fig. 4. Also the ζ potentials of the nanoparticles, shown in Fig. 4, varied with increasing charge ratio a/c from positive to negative. The negative value of the ζ potential at a/c = 1 might be due to incomplete uptake of 1 in the nanoparticles. The charge ratio was fixed at a/c = 1.2 in the following investigations to make sure that the resulting particles were anionic which was later important in order to avoid unspecific interactions with proteins and cells in living systems. Scanning force microscopy (AFM) investigations revealed that the particles were nearly spherically shaped (Fig. 5).
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Fig. 4 ζ Potential, PDI and particle size d of nanoparticles from 1 and 4 as a function of the charge ratio a/c. |
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Fig. 5 AFM image of nanoparticles 1·4b. |
Long term stability studies performed with those nanoparticle dispersions (a/c = 1.2) did not show any precipitation nor any significant (±10%) changes in both d and PDI during a week of observation at rt. A possible reason for the observed stability of the nanoparticle dispersions could be the structural similarity of the anionic starch polymers 2 or 4 and the cationic CD derivative 1 both consisting of α(1 → 4) linked glucose units. The structural similarity could allow the polymer chain wrapping around the CD derivative as depicted in Fig. 6. Futhermore, it should be taken into account that these charged molecules are rather stiff like the so-called “structural counterions” already described by Gröhn et al.32 Interaction of rigid counterions of finite sizes can cause geometrical constraints and thereby incomplete charge neutralization which results in finite-diameter bundles as Pincus already suggested in a theoretical consideration.48
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Fig. 6 Fragment of the possible structure of the nanoplexes from 1 and 4, positive charges are shown in red, negative charges in blue. |
Consequently, the stability and size of the nanoplexes should depend on the number of possible Coulomb interactions per polymer molecule, which is controlled by the DS of the anionic carboxylate groups attached to the polymer. Therefore we determined the particle sizes d for various DS(COOH) values of polymer 2 for a constant a/c = 1.2, shown in Fig. 7, and found that the particle size d indeed increases with decreasing DS(COOH). Precipitation occurred for DS < 0.29. Furthermore we investigated the interaction of the mono-cationic mono-6-deoxy-6-aminoethylsulfanyl-β-CD, with oxidized starch 2 (DS = 0.65) and could not detect any formation of defined nanoparticles by both turbidity and DLS. Therefore hepta-cationic CD derivative 1 and starch derivatives 2 and 4 with high DS > 0.6 were chosen for the following experiments to achieve particles as small as possible, suitable for entering cells.
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Fig. 7 Particle size d of nanoparticles 1·2 for various DS(COOH) values at constant a/c = 1.2. |
Size d/nm | PDI | |
---|---|---|
1·2 | 113 | 0.116 |
1(DHA)·2 | 122 | 0.139 |
1·4 | 151 | 0.122 |
1(DHA)·4 | 154 | 0.101 |
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Fig. 8 UV-vis spectra of (a) nanoparticles 1(DHA)·2, (b) nanoparticles 1·2 and (c) 2. |
After subtraction of the turbidity spectrum of the empty nanoparticles 1·2 from the spectrum of 1(DHA)·2 the spectrum of DHA remained. This way the concentration of DHA in the nanoplex dispersion could be calculated assuming the same extinction coefficient (ε = 8240 M−1 cm−1) like in solution. Indeed the employed initial concentration of DHA was found again (see Table 3) showing that the assumption was right. The nanoplexes 1(DHA)·2 and 1(DHA)·4 could be separated from the solution by extensive centrifugation. The nanoplexes settled down as a solid red spot, insoluble in both water and 1-octanol, solvents for 1, 2, 4, and DHA, respectively. The supernatant after centrifugation did not show any turbidity but only a slight absorption of DHA (see Fig. 9), showing that nearly all DHA could be removed from the aqueous phase. Results from the UV-vis investigations are compiled in Table 3. It was found, that more DHA (88%) was bound in the nanoparticles 1(DHA)·4 compared with 1(DHA)·2 (56%). The slightly larger particle size of 1(DHA)·4 was made responsible for its higher loading efficiency.
c DHA total/µM | c DHA in supernatant/µM | Loading efficiency (%) | |
---|---|---|---|
1(DHA)·2 | 37.8 | 16.8 | 56 |
1(DHA)·4 | 33.6 | 4.0 | 88 |
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Fig. 9 UV-vis spectra of (a) nanoparticles 1(DHA)·4, (b) supernatant of nanoparticles 1(DHA)·4 after 30 min centrifugation and (c) supernatant of nanoparticles 1(DHA)·4 after 20 h centrifugation. |
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Fig. 10 FCS-trace of the nanoparticles 1(DHA)·4 (open symbols) with the fit curve (line) according to the two-dimensional diffusion model. The extracted diffusion time τdiff is 7.4 ms. |
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