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Lectin-gated, mesoporous, photofunctionalized glyconanoparticles for glutathione-responsive drug delivery

Juan Zhou a, Nanjing Hao b, Thareendra De Zoyza b, Mingdi Yan *ab and Olof Ramström *a
aDepartment of Chemistry, KTH – Royal Institute of Technology, Teknikringen 30, S-10044 Stockholm, Sweden. E-mail: ramstrom@kth.se
bDepartment of Chemistry, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854, USA

Received 8th April 2015 , Accepted 14th May 2015

First published on 14th May 2015


Abstract

A stimuli-responsive drug delivery system based on fluorescent, lectin-gated, mesoporous glyconanoparticles has been developed and evaluated in normal- and cancer lung epithelial cells. The gating process proved efficient, exhibiting good sealing properties in the absence of the glutathione redox trigger, avoiding premature release in normal cells. In the presence of higher levels of glutathione in cancer cells, the lectin gate was rapidly opened and the anticancer drug released.


Nanomedical strategies with high therapeutic efficiencies and reduced adverse side-effects have attracted high interest in recent years.1 Controlled, stimuli-responsive drug release from nanocarriers, avoiding premature leakage, is in this context a key feature,2 and development of more efficient delivery systems based on nanomaterials is demanded. Mesoporous silica nanoparticles (MSNs) have demonstrated excellent potential as delivery containers, owing to their tunable pore sizes, high surface areas and overall biocompatibility.3 MSNs allow for straightforward, diffusion-controlled cargo entrapment and can be functionalized to release the loaded drug in response to chosen stimuli, such as light,4 pH,5 temperature,6 enzyme action,7 and redox state.8 For the most part, these systems rely on non-proteinic structural elements, such as synthetic polymers and supramolecular assemblies, whereas the use of proteins as gatekeepers is still in early development.9 Proteins are however attractive as gating elements, since they are inherently biocompatible, can be of non-toxic nature, exist in many different shapes and sizes, and are amenable to a wide range of recognition systems. In the present study, we present an MSN-based, redox-controlled drug release system using protein–carbohydrate recognition as a gating factor.

Lectins are proteins of non-immune origin that interact with specific carbohydrate structures, thereby mediating ubiquitous important biological processes.10 One member of this family, the jack bean protein concanavalin A (Con A), is a homotetrameric protein at pH above 5.5 with a size of approximately 8 nm.11 Con A binds primarily to α-D-mannopyranosides with high specificities but relatively low affinities (Ka for methyl α-D-mannopyranoside is 8.2 × 103 M−1) in the presence of Ca2+ and Mn2+ ions.12 The affinities can however be increased through multivalent interactions,13 often leading to considerably stronger binding than the corresponding monovalent carbohydrate–protein interactions.14 Since carbohydrate-based interactions are central in biological systems, glyconanomaterials have emerged as useful entities for biorecognition studies and different biomedical applications.15 These nanomaterials are functionalized with carbohydrate/glycan structures, thereby exerting interaction potential with biologically relevant blood-, cytosolic- and cell-bound proteins.

Con A-gated MCM-41-type MSNs have been reported by Du and coworkers for controlled release of rhodamine 6G in vitro.9c Release was in this case effectuated by acidifying the solutions or by competitive binding with glucose. We however reasoned that redox control offer an efficient release mechanism, especially suited for targeting cancer cells. By engineering a disulfide linker into the gate function, the release would be responsive to the redox state of the cells, maintained by the glutathione/glutathione disulfide system. Healthy cells generally have considerably lower glutathione concentrations than cancer cells, thus enabling a selectivity effect between the different cells/tissues and low degrees of premature release.16

The gated nanomaterials were designed and fabricated as outlined in Scheme 1. Fluorescently-labeled mesoporous silica nanoparticles were chosen as carriers, further functionalized with D-mannose using a photochemical nitrene-mediated approach, and incorporating a redox-sensitive disulfide moiety in the linker. Doxorubicin, an anticancer drug with red fluorescence, was subsequently loaded into the nanopores, and the particles capped with Con A. Upon uptake by cancer cells, doxorubicin would then be released owing to the glutathione-mediated reduction of the disulfide bonds, thereby removing the Con A gatekeeper groups.


image file: c5cc02907d-s1.tif
Scheme 1 Synthesis of Con A-gated, FITC-doped, mesoporous silica glyconanoparticles.

The fluorescein isothiocyanate- (FITC)-doped mesoporous silica nanoparticles (FMSN, Scheme 1) were prepared using a modified protocol of Lin and coworkers, involving a FITC-silane synthesized from fluorescein isothiocyanate and 3-aminopropyltriethoxysilane.17 The resulting MSNs displayed an average diameter of 130 nm, as shown by transmission electron microscopy (TEM) (Fig. 1A and B), where the ordered lattice array indicated a uniform, well-defined mesoporous structure. Subsequent functionalization with 3-mercaptopropyltrimethoxysilane resulted in thiolated particles (FMSN-SH, Scheme 1), as supported by a thiol absorption band around 2580 cm−1 in the Raman spectrum (Fig. S1, ESI). Further modification using 2-(pyridin-2-yldisulfanyl)ethyl 4-azido-2,3,5,6-tetrafluorobenzoate yielded particles presenting disulfide-linked perfluorophenyl azide (PFPA) groups (FMSN-PFPA, Scheme 1). Disulfide formation was supported by the azide group absorption at 2175 cm−1 in the FTIR spectrum, accompanied by the disappearance of the Raman thiol signal (Fig. S2, ESI). The particles were finally mannosylated under UV irradiation using a previously developed photocoupling method,18 where the PFPA azide moiety is converted into a nitrene that can undergo insertion into carbohydrate to give D-mannose-conjugated nanoparticles (FMSN-Man, Scheme 1). The carbohydrate content in FMSN-Man was estimated by an anthrone-based colorimetry assay,17b,19 indicating an approximate amount of 12 μg of D-mannose per mg of particles (Fig. S3, ESI), and a coupling yield of 48%.


image file: c5cc02907d-f1.tif
Fig. 1 TEM images of (A) FMSN- and (B) FMSN-DOX-ConA preparations; (C) size distribution of nanoparticles by DLS; (D) nitrogen adsorption–desorption isotherms of (a) FMSN-DOX-ConA- and (b) FMSN samples; inset: corresponding pore size distribution of FMSN-DOX-Con A (a) and FMSN (b) particles.

The glyconanoparticles were next loaded with doxorubicin by gently stirring FMSN-Man suspensions in the presence of doxorubicin for 48 h. The gatekeeper protein (Con A) was subsequently added, capping the D-mannose-functionalized nanoparticles through multivalent lectin–carbohydrate interactions, yielding the final drug delivery preparations (FMSN-DOX-ConA particles, Scheme 1). The amount of doxorubicin incorporated was estimated as 75 mg g−1 of particles, based on UV analysis before and after washing.

The particle synthesis, and the loading and gating process were also followed by dynamic light scattering (DLS, Fig. 1C). The FMSN particles displayed a hydrodynamic diameter of approximately 180 nm, which increased slightly to 200 nm after PFPA functionalization and mannosylation. After doxorubicin loading and Con A capping, the size of the particles increased to 300–600 nm, in part owing to particle crosslinking. The smaller particle population at around 30 nm is likely due to Con A aggregation under the experimental conditions used. The same pattern could be seen from the corresponding TEM images (Fig. 1B), where the capped FMSN-DOX-ConA particles displayed more aggregation than the original FITC-doped mesoporous silica nanoparticles.

As discussed in the above, the size of a Con A protomer is approximately 4 nm in one dimension, and the tetrameric protein close to twice that size. To confirm the gating potential of the lectin, Brunauer–Emmett–Teller (BET) surface area analysis and Barrett–Joyner–Halenda (BJH) pore size and volume analysis were used to confirm the particles' mesoporous structure. As shown in Fig. 1D, the properties of the original FMSN preparation were typical to mesoporous silica particles with approximately 1020 m2 g−1 surface area and 3.1 nm pore diameter (b), while the Con A-capped FMSN-DOX-ConA particles showed significantly decreased surface area and no obvious mesopores (a). This is owing to doxorubicin loading and lectin capping, similar to the results reported by Zhang and coworkers after β-cyclodextrin capping on DOX-loaded MSNs.20

The gating behaviour of the pores in the presence of glutathione was next evaluated. The mannosylated FMSN-Man particles were thus first capped with FITC-labeled Con A (yielding FMSN-fConA particles), and subsequently exposed to increasing concentrations of glutathione in PBS (pH 7.4). Upon incubation for 12 h, the particles were removed by centrifugation, and the residual fluorescence emanating from reduction of the disulfide bond and release of the FITC-labeled Con A was measured. As shown in Fig. 2A, no detectable fluorescence was recorded when the FMSN-fConA particles were dispersed in buffer in the absence of glutathione. In contrast, fluorescence appeared when glutathione was added to the nanoparticle suspension, where the intensity correlated with the glutathione concentrations. These results indicate that glutathione plays an effective role in cleaving the disulfide linker of the nanoparticles.


image file: c5cc02907d-f2.tif
Fig. 2 (A) Emission spectra of FMSN-fConA in the presence of increasing concentrations of glutathione (λex = 490 nm, λem = 519 nm). (B) Release profiles of doxorubicin from FMSN-DOX-ConA nanoparticles in response to increasing concentrations of glutathione.

Absorption spectroscopy was used to monitor the release of doxorubicin from the Con A-gated glyconanoparticles in PBS (pH 7.4) before and after exposure to the glutathione trigger. As shown in Fig. 2B, very low levels of doxorubicin were released within 24 h in the absence of glutathione, indicating that the lectin-gated nano-containers remained largely intact under these conditions. With increasing concentrations of glutathione from 0.04 mM to 10 mM, on the other hand, the doxorubicin signal significantly increased, thus displaying lectin uncapping, pore opening, and drug release from the nanoparticles. The degree of doxorubicin release furthermore correlated with the glutathione concentrations. Thus, upon glutathione treatment, the disulfide linker was reduced and cleaved, resulting in removal of Con A from the surface of the FMSN-DOX-ConA particles, and release of doxorubicin. The process showed an initial burst phase over a few hours, followed by a prolonged period of slower release, likely due to diffusion from inner pores and potentially stronger adsorption to local surface sites. At a glutathione concentration of 10 mM, the release level within 7 h reached 61%, similar to reported mesoporous particle systems.20 These results demonstrate that the lectin gating system showed efficient sealing properties before exposure to glutathione, and rapid opening and release of the nanoparticle cargo upon stimulation. Since cancer cells show high levels of glutathione compared to normal cells, the Con A-gated glyconanoparticles demonstrate high potential as drug carriers for delivery to cancer cells without premature release of drug into blood vessels and normal tissue.8b,21

The selective doxorubicin release efficiency of the Con A-gated glyconanoparticles towards human cells was next addressed. Cytotoxicity assays were thus performed with two different human lung cells lines: primary lung epithelial cells (PCC cells), and adenocarcinomic alveolar basal epithelial cells (A549 cells). The cells were treated with different concentrations of FMSN- and doxorubicin-loaded FMSN-DOX-ConA-particles, and the cell viability over 24 h was recorded. As shown in Fig. 3, the cell selectivity proved very high, where the A549 cells were significantly more affected by the particles than the normal PCC cells. The IC50 of the FMSN-DOX-ConA particles against the A549 cells was approximately 25 μg mL−1, while the viability of the normal PCC cells remained above 90% at this concentration. This demonstrated the effect of the high glutathione concentration in the A549 cancer cells (∼12 mM),22 compared to the normal PCC cells. The concentration of glutathione in PCC cells is lower than 1 mM,23 resulting in considerably lower degree of disulfide cleavage and doxorubicin release. For both cell lines, the unloaded FITC-doped mesoporous silica nanoparticles did not show any significant cytotoxicity, where the cell viability remained beyond 90% at nanoparticle concentrations from 1.6 μg mL−1 to 200 μg mL−1, demonstrating good biocompatibility of the FMSN particles (Fig. S4, ESI).


image file: c5cc02907d-f3.tif
Fig. 3 Percent viability of A549 and PCC cells against FMSN-DOX-ConA particles.

The effects of the FMSN- and the FMSN-DOX-ConA particles on the cells were furthermore evaluated using confocal fluorescence microscopy. The cell lines were thus incubated with the different nanoparticles, and the fluorescence monitored in situ. The results were again clear, and the green fluorescence of the FITC-doped nanoparticles was visible in both the A549- and the PCC cells after incubation for 6 h, indicating that the mesoporous silica nanoparticles can be uptaken by both types of human cells (Fig. 4, cf. Fig. S5, ESI). As can also be seen in Fig. 4, the A549 cells gave rise to strong red fluorescence upon incubation with the doxorubicin-loaded FMSN-DOX-ConA-particles. This was consistent with our expectation that extensive cleavage of the disulfide linker would occur with this cell line, leading to uncapping of the Con A gate, release of doxorubicin and appearance of red fluorescence. The results also support the effect of the higher concentration of glutathione in the A549 cells compared to the PCC cells, where doxorubicin can be released more efficiently from the Con A-gated nano-containers in the A549 cells. The weaker red fluorescence in the PCC cells suggests that the drug remained entrapped in the pores in the absence of high concentrations of glutathione. The developed delivery system thus showed a good blocking effect with minimal premature drug release in healthy cells.


image file: c5cc02907d-f4.tif
Fig. 4 Confocal microscope images of (A) PCC cells and (B) A549 cells incubated with FMSN-DOX-ConA particles; from top to bottom: emission measured at 500–530 nm (fluorescein), emission measured at 650–710 nm (doxorubicin), merged images showing both channels; scale bars 50 μm.

In conclusion, this work describes the development of lectin-gated, FITC-doped mesoporous silica glyconanoparticles as delivery vehicles for controlled drug release. The particles were functionalized with disulfide-linked perfluorophenyl azide groups, and conjugated with D-mannose using photoinduced nitrene chemistry. Subsequent doxorubicin loading and Con A capping resulted in the final materials, which could be opened by redox stimulus. The lectin gatekeeper showed good blocking efficiency at low levels of glutathione in normal cells, while reduction of the disulfide linker in the presence of higher concentrations of glutathione in cancer cells efficiently uncapped the lectin and released the drug. These Con A-gated mesoporous silica glyconanoparticles provide an efficient platform for controlled drug delivery, in principle releasing the content at the site of disease. Further surface modification with targeting entities towards specific cells and tissues for site-specific controlled drug delivery is under consideration.

This work was in part supported by the National Institutes of Health (R01GM080295) and the Royal Institute of Technology. JZ thanks the China Scholarship Council for a special scholarship award.

Notes and references

  1. (a) V. R. Devadasu, V. Bhardwaj and M. N. V. R. Kumar, Chem. Rev., 2013, 113, 1686–1735 CrossRef CAS PubMed; (b) Z. Li, J. C. Barnes, A. Bosoy, J. F. Stoddart and J. I. Zink, Chem. Soc. Rev., 2012, 41, 2590–2605 RSC; (c) Q. He and J. Shi, Adv. Mater., 2014, 26, 391–411 CrossRef CAS PubMed; (d) J. Yao, M. Yang and Y. Duan, Chem. Rev., 2014, 114, 6170–6178 CrossRef PubMed; (e) R. Mo, Q. Sun, J. Xue, N. Li, W. Li, C. Zhang and Q. Ping, Adv. Mater., 2012, 24, 3659–3665 CrossRef CAS PubMed; (f) G. Liu, L. Zhou, Y. Su and C.-M. Dong, Chem. Commun., 2014, 50, 12538–12541 RSC.
  2. (a) J. E. Lee, N. Lee, T. Kim, J. Kim and T. Hyeon, Acc. Chem. Res., 2011, 44, 893–902 CrossRef CAS PubMed; (b) F. M. Kievit and M. Zhang, Adv. Mater., 2011, 23, 217–247 CrossRef PubMed; (c) Y. Wang, M. S. Shim, N. S. Levinson, H.-W. Sung and Y. Xia, Adv. Funct. Mater., 2014, 24, 4206–4220 CrossRef CAS PubMed; (d) S. Mura, J. Nicolas and P. Couvreur, Nat. Mater., 2013, 12, 991–1003 CrossRef CAS PubMed.
  3. (a) F. Tang, L. Li and D. Chen, Adv. Mater., 2012, 24, 1504–1534 CrossRef CAS PubMed; (b) D. Tarn, C. E. Ashley, M. Xue, E. C. Carnes, J. I. Zink and C. J. Brinker, Acc. Chem. Res., 2013, 46, 792–801 CrossRef CAS PubMed; (c) Q. He and J. Shi, J. Mater. Chem., 2011, 21, 5845–5855 RSC; (d) J. Lu, M. Liong, J. I. Zink and F. Tamanoi, Small, 2007, 3, 1341–1346 CrossRef CAS PubMed; (e) B. G. Trewyn, S. Giri, I. I. Slowing and V. S. Y. Lin, Chem. Commun., 2007, 3236–3245 RSC; (f) S.-H. Wu, Y. Hung and C.-Y. Mou, Chem. Commun., 2011, 47, 9972–9985 RSC.
  4. (a) D. P. Ferris, Y.-L. Zhao, N. M. Khashab, H. A. Khatib, J. F. Stoddart and J. I. Zink, J. Am. Chem. Soc., 2009, 131, 1686–1688 CrossRef CAS PubMed; (b) N. Fomina, C. McFearin, M. Sermsakdi, O. Edigin and A. Almutairi, J. Am. Chem. Soc., 2010, 132, 9540–9542 CrossRef CAS PubMed; (c) J. Liu, W. Bu, L. Pan and J. Shi, Angew. Chem., Int. Ed., 2013, 52, 1–6 CrossRef CAS PubMed.
  5. (a) M. Xue, X. Zhong, Z. Shaposhnik, Y. Qu, F. Tamanoi, X. Duan and J. I. Zink, J. Am. Chem. Soc., 2011, 133, 8798–8801 CrossRef CAS PubMed; (b) Y.-L. Zhao, Z. Li, S. Kabehie, Y. Y. Botros, J. F. Stoddart and J. I. Zink, J. Am. Chem. Soc., 2010, 132, 13016–13025 CrossRef CAS PubMed.
  6. (a) C. Liu, J. Guo, W. Yang, J. Hu, C. Wang and S. Fu, J. Mater. Chem., 2009, 19, 4764–4770 RSC; (b) B. Chang, X. Sha, J. Guo, Y. Jiao, C. Wang and W. Yang, J. Mater. Chem., 2011, 21, 9239–9247 RSC.
  7. K. Patel, S. Angelos, W. R. Dichtel, A. Coskun, Y.-W. Yang, J. I. Zink and J. F. Stoddart, J. Am. Chem. Soc., 2008, 130, 2382–2383 CrossRef CAS PubMed.
  8. (a) J. Lai, B. P. Shah, E. Garfunkel and K.-B. Lee, ACS Nano, 2013, 7, 2741–2750 CrossRef CAS PubMed; (b) H. Kim, S. Kim, C. Park, H. Lee, H. J. Park and C. Kim, Adv. Mater., 2010, 22, 4280–4283 CrossRef CAS PubMed.
  9. (a) M. J. Chen, C. S. Huang, C. S. He, W. P. Zhu, Y. F. Xu and Y. F. Lu, Chem. Commun., 2012, 48, 9522–9524 RSC; (b) D. Tang, B. Liu, R. Niessner, P. Li and D. Knopp, Anal. Chem., 2013, 85, 10589–10596 CrossRef CAS PubMed; (c) S. Wu, X. Huang and X. Du, Angew. Chem., Int. Ed., 2013, 52, 5580–5584 CrossRef CAS PubMed.
  10. H. Lis and N. Sharon, Chem. Rev., 1998, 98, 637–674 CrossRef CAS PubMed.
  11. (a) M. A. Hayat, in Stains and Cytochemical Methods, Springer, New York, US, 1993, ch. 8, pp. 236–238 Search PubMed; (b) K. D. Hardman and C. F. Ainsworth, Biochemistry, 1972, 11, 4910–4919 CrossRef CAS.
  12. (a) D. K. Mandal, N. Kishore and C. F. Brewer, Biochemistry, 1994, 33, 1149–1156 CrossRef CAS; (b) O. Norberg, L. Deng, T. Aastrup, M. Yan and O. Ramström, Anal. Chem., 2011, 83, 1000–1007 CrossRef CAS PubMed.
  13. (a) J. Zhou, N. Butchosa, H. S. N. Jayawardena, Q. Zhou, M. Yan and O. Ramström, Bioconjugate Chem., 2014, 25, 640–643 CrossRef CAS PubMed; (b) G. M. Edelman, B. A. Cunningham, G. N. Reeke, J. W. Becker, M. J. Waxdal and J. L. Wang, Proc. Natl. Acad. Sci. U. S. A., 1972, 69, 2580–2584 CrossRef CAS.
  14. P.-H. Liang, S.-K. Wang and C.-H. Wong, J. Am. Chem. Soc., 2007, 129, 11177–11184 CrossRef CAS PubMed.
  15. X. Chen, O. Ramström and M. Yan, Nano Res., 2014, 7, 1381–1403 CrossRef CAS.
  16. (a) G. K. Balendiran, R. Dabur and D. Fraser, Cell Biochem. Funct., 2004, 22, 343–352 CrossRef CAS PubMed; (b) M. H. Lee, Z. Yang, C. W. Lim, Y. H. Lee, S. Dongbang, C. Kang and J. S. Kim, Chem. Rev., 2013, 113, 5071–5109 CrossRef CAS PubMed.
  17. (a) S. Huh, J. W. Wiench, J.-C. Yoo, M. Pruski and V. S. Y. Lin, Chem. Mater., 2003, 15, 4247–4256 CrossRef CAS; (b) X. Wang, O. Ramström and M. Yan, Chem. Commun., 2011, 47, 4261–4263 RSC.
  18. (a) L. Liu and M. Yan, Angew. Chem., Int. Ed., 2006, 45, 6207–6210 CrossRef CAS PubMed; (b) O. Norberg, L. Deng, T. Aastrup, M. Yan and O. Ramström, Anal. Chem., 2011, 83, 1000–1007 CrossRef CAS PubMed; (c) H. Wang, Y. Zhang, X. Yuan, Y. Chen and M. Yan, Bioconjugate Chem., 2011, 22, 26–32 CrossRef CAS PubMed.
  19. (a) X. Wang, E. Matei, L. Deng, O. Ramström, A. M. Gronenborn and M. Yan, Chem. Commun., 2011, 47, 8620–8622 RSC; (b) X. Wang, E. Matei, A. M. Gronenborn, O. Ramström and M. Yan, Anal. Chem., 2012, 84, 4248–4252 CrossRef CAS PubMed.
  20. J. Zhang, Z.-F. Yuan, Y. Wang, W.-H. Chen, G.-F. Luo, S.-X. Cheng, R.-X. Zhuo and X.-Z. Zhang, J. Am. Chem. Soc., 2013, 13, 5068–5073 CrossRef PubMed.
  21. C. Park, H. Youn, H. Kim, T. Noh, Y. H. Kook, E. T. Oh, H. J. Park and C. Kim, J. Mater. Chem., 2009, 19, 2310–2315 RSC.
  22. D. A. Keller and D. B. Menzel, Chem. -Biol. Interact., 1989, 70, 145–156 CrossRef CAS.
  23. K. Nagayoshi, T. Nemoto, S. Yokoyama, F. Yamashita and M. Hashida, Drug Metab. Pharmacokinet., 2004, 19, 407–412 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available: Experimental details and characterizations of functionalized particles, viability and confocal fluorescence images of cells incubated with FMSN. See DOI: 10.1039/c5cc02907d

This journal is © The Royal Society of Chemistry 2015