The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
The Role of Surface Functionality in Determining Nanoparticle Cytotoxicity
Open accessAbstract
Surface properties dictate the behavior of nanomaterials in vitro, in vivo, and in the environment. Such properties include surface charge and hydrophobicity. Also key are more complex supramolecular interactions such as aromatic stacking and hydrogen bonding, and even surface topology from the structural to the atomic level. Surface functionalization of nanoparticles (NPs) provides an effective way to control the interface between nanomaterials and the biological systems they are designed to interact with. In medicine, for instance, proper control of surface properties can maximize therapeutic or imaging efficacy while minimizing unfavorable side effects. Meanwhile, in environmental science, thoughtful choice of particle coating can minimize the impact of manufactured nanomaterials on the environment. A thorough knowledge of how NP surfaces with various properties affect biological systems is essential for creating NPs with such useful therapeutic and imaging properties as low toxicity, stability, biocompatibility, favorable distribution throughout cells or tissues, and favorable pharmacokinetic profiles--and for reducing the potential environmental impact of manufactured nanomaterials, which are becoming increasingly prominent in the marketplace. In this Account, we discuss our research and that of others into how NP surface properties control interactions with biomolecules and cells at many scales, including the role the particle surface plays in determining in vivo behavior of nanomaterials. These interactions can be benign, beneficial, or lead to dysfunction in proteins, genes and cells, resulting in cytotoxic and genotoxic responses. Understanding these interactions and their consequences helps us to design minimally invasive imaging and delivery agents. We also highlight in this Account how we have fabricated nanoparticles to act as therapeutic agents via tailored interactions with biomacromolecules. These particles offer new therapeutic directions from traditional small molecule therapies, and with potentially greater versatility than is possible with proteins and nucleic acids.
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Cites
Oxidants, oxidative stress and the biology of ageing
Finkel, T., & Holbrook, N. J. (2000) · Nature · doi:10.1038/35041687 · Cited by 9,413
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Understanding biophysicochemical interactions at the nano–bio interface
Nel, A. E., Mädler, L., Velegol, D., Xia, T., Hoek, E. M. V., Somasundaran, P., Klaessig, F., Castranova, V., & Thompson, M. (2009) · Nature Materials · doi:10.1038/nmat2442 · Cited by 7,083
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
Cytotoxicity and Genotoxicity of Silver Nanoparticles in Human Cells
AshaRani, P. V., Low Kah Mun, G., Hande, M. P., & Valiyaveettil, S. (2009) · ACS Nano · doi:10.1021/nn800596w · Cited by 3,692
Strategies in the design of nanoparticles for therapeutic applications
Petros, R. A., & DeSimone, J. M. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd2591 · Cited by 3,651
Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4
Scherz‐Shouval, R., Shvets, E., Fass, E., Shorer, H., Gil, L., & Elazar, Z. (2007) · The EMBO Journal · doi:10.1038/sj.emboj.7601623 · Cited by 2,101
Aggarwal, P., Hall, J. B., McLeland, C. B., Dobrovolskaia, M. A., & McNeil, S. E. (2009) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2009.03.009 · Cited by 1,791
Toxicity of Gold Nanoparticles Functionalized with Cationic and Anionic Side Chains
Goodman, C. M., McCusker, C. D., Yilmaz, T., & Rotello, V. M. (2004) · Bioconjugate Chemistry · doi:10.1021/bc049951i · Cited by 1,601
Self-citationApplications of Nanoparticles in Biology
De, M., Ghosh, P. S., & Rotello, V. M. (2008) · Advanced Materials · doi:10.1002/adma.200703183 · Cited by 1,547
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Zhou, J., Yu, G., & Huang, F. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00898d · Cited by 677
Gold Nanoparticles for Nucleic Acid Delivery
Ding, Y., Jiang, Z., Saha, K., Kim, C. S., Kim, S. T., Landis, R. F., & Rotello, V. M. (2014) · Molecular Therapy · doi:10.1038/mt.2014.30 · Cited by 521
Self-citationMeta-analysis of cellular toxicity for cadmium-containing quantum dots
Oh, E., Liu, R., Nel, A., Gemill, K. B., Bilal, M., Cohen, Y., & Medintz, I. L. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2015.338 · Cited by 502
Multifunctional nanoparticles for brain tumor imaging and therapy
Cheng, Y., Morshed, R. A., Auffinger, B., Tobias, A. L., & Lesniak, M. S. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.09.006 · Cited by 349
Toxicity of Nanomaterials: Exposure, Pathways, Assessment, and Recent Advances
Ganguly, P., Breen, A., & Pillai, S. C. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b00068 · Cited by 341
Nguyen, D. D., & Lai, J.-Y. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.134970 · Cited by 178
Jia, C., Chen, H., Wei, M., Chen, X., Zhang, Y., Cao, L., Yuan, P., Wang, F., Yang, G., & Ma, J. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s138400 · Cited by 106
Kurtz-Chalot, A., Villiers, C., Pourchez, J., Boudard, D., Martini, M., Marche, P. N., Cottier, M., & Forest, V. (2017) · Materials Science and Engineering: C · doi:10.1016/j.msec.2017.02.028 · Cited by 102
Metadata
- Authors
- Kim, S. T., Saha, K., Kim, C., & Rotello, V. M.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-01-07
- Volume
- 46
- Issue
- 3
- Pages
- 681-691
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2022314741
- Cited by
- 403
- References
- 68
- FWCI
- 16.65
- Type
- journal article
- Language
- en
- Open access
- green
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