The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Surface Charge-Switching Polymeric Nanoparticles for Bacterial Cell Wall-Targeted Delivery of Antibiotics
Open accessAbstract
Bacteria have shown a remarkable ability to overcome drug therapy if there is a failure to achieve sustained bactericidal concentration or if there is a reduction in activity in situ. The latter can be caused by localized acidity, a phenomenon that can occur as a result of the combined actions of bacterial metabolism and the host immune response. Nanoparticles (NP) have shown promise in treating bacterial infections, but a significant challenge has been to develop antibacterial NPs that may be suitable for systemic administration. Herein we develop drug-encapsulated, pH-responsive, surface charge-switching poly(D,L-lactic-co-glycolic acid)-b-poly(L-histidine)-b-poly(ethylene glycol) (PLGA-PLH-PEG) nanoparticles for treating bacterial infections. These NP drug carriers are designed to shield nontarget interactions at pH 7.4 but bind avidly to bacteria in acidity, delivering drugs and mitigating in part the loss of drug activity with declining pH. The mechanism involves pH-sensitive NP surface charge switching, which is achieved by selective protonation of the imidazole groups of PLH at low pH. NP binding studies demonstrate pH-sensitive NP binding to bacteria with a 3.5 ± 0.2- to 5.8 ± 0.1-fold increase in binding to bacteria at pH 6.0 compared to 7.4. Further, PLGA-PLH-PEG-encapsulated vancomycin demonstrates reduced loss of efficacy at low pH, with an increase in minimum inhibitory concentration of 1.3-fold as compared to 2.0-fold and 2.3-fold for free and PLGA-PEG-encapsulated vancomycin, respectively. The PLGA-PLH-PEG NPs described herein are a first step toward developing systemically administered drug carriers that can target and potentially treat Gram-positive, Gram-negative, or polymicrobial infections associated with acidity.
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Cites
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
Self-citationThe complete genome sequence of the gastric pathogen Helicobacter pylori
Tomb, J.-F., White, O., Kerlavage, A. R., Clayton, R. A., Sutton, G. G., Fleischmann, R. D., Ketchum, K. A., Klenk, H. P., Gill, S., Dougherty, B. A., et al. (1997) · Nature · doi:10.1038/41483 · Cited by 3,529
Perspectives and opportunities for nanomedicine in the management of atherosclerosis
Lobatto, M. E., Fuster, V., Fayad, Z. A., & Mulder, W. J. M. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3578 · Cited by 423
Layer-by-Layer Nanoparticles with a pH-Sheddable Layer for in Vivo Targeting of Tumor Hypoxia
Poon, Z., Chang, D., Zhao, X., & Hammond, P. T. (2011) · ACS Nano · doi:10.1021/nn200876f · Cited by 343
Perez, C., Sanchez, A., Putnam, D., Ting, D., Langer, R., & Alonso, M. J. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(01)00397-2 · Cited by 313
Self-citationAirways in cystic fibrosis are acidified: detection by exhaled breath condensate
Tate, S. (2002) · Thorax · doi:10.1136/thorax.57.11.926 · Cited by 256
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The antimicrobial activity of nanoparticles: present situation and prospects for the future
Wang, L., Hu, C., & Shao, L. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s121956 · Cited by 4,062
Kamaly, N., Yameen, B., Wu, J., & Farokhzad, O. C. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00346 · Cited by 3,070
Self-citationCombatting antibiotic-resistant bacteria using nanomaterials
Gupta, A., Mumtaz, S., Li, C.-H., Hussain, I., & Rotello, V. M. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00748e · Cited by 1,115
Current advances in lanthanide ion (Ln3+)-based upconversion nanomaterials for drug delivery
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Metadata
- Authors
- Radovic-Moreno, A. F., Lu, T. K., Puscasu, V. A., Yoon, C. J., Langer, R., & Farokhzad, O. C.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-04-12
- Volume
- 6
- Issue
- 5
- Pages
- 4279-4287
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2157120247
- Cited by
- 539
- References
- 6
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- green
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