The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Overcoming the Reticuloendothelial System Barrier to Drug Delivery with a “Don’t-Eat-Us” Strategy
Abstract
Overcoming the reticuloendothelial system (RES) has long been a vital challenge to nanoparticles as drug carriers. Modification of nanoparticles with polyethylene glycol helps them avoid clearance by macrophages but also suppresses their internalization by target cells. To overcome this paradox, we developed an RES-specific blocking system utilizing a "don't-eat-us" strategy. First, a CD47-derived, enzyme-resistant peptide ligand was designed and placed on liposomes (d-self-peptide-labeled liposome, DSL). After mainline administration, DSL was quickly adsorbed onto hepatic phagocyte membranes (including those of Kupffer cells and liver sinusoidal endothelial cells), forming a long-lasting mask that enclosed the cell membranes and thus reducing interactions between phagocytes and subsequently injected nanoparticles. Compared with blank conventional liposomes (CL), DSL blocked the RES at a much lower dose, and the effect was sustained for a much longer time, highly prolonging the elimination half-life of the subsequently injected nanoparticles. This "don't-eat-us" strategy by DSL was further verified on the brain-targeted delivery against a cryptococcal meningitis model, providing dramatically enhanced brain accumulation of the targeted delivery system and superior therapeutic outcome of model drug Amphotericin B compared with CL. Our study demonstrates a strategy that blocks the RES by masking phagocyte surfaces to prolong nanoparticle circulation time without excess modification and illustrates its utility in enhancing nanoparticle delivery.
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Guex, N., Peitsch, M. C., & Schwede, T. (2009) · ELECTROPHORESIS · doi:10.1002/elps.200900140 · Cited by 2,097
ZDOCK server: interactive docking prediction of protein–protein complexes and symmetric multimers
Pierce, B. G., Wiehe, K., Hwang, H., Kim, B.-H., Vreven, T., & Weng, Z. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu097 · Cited by 1,760
Establishment and Dysfunction of the Blood-Brain Barrier
Zhao, Z., Nelson, A. R., Betsholtz, C., & Zlokovic, B. V. (2015) · Cell · doi:10.1016/j.cell.2015.10.067 · Cited by 1,670
Nanoparticle–liver interactions: Cellular uptake and hepatobiliary elimination
Zhang, Y.-N., Poon, W., Tavares, A. J., McGilvray, I. D., & Chan, W. C. W. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.01.020 · Cited by 1,349
Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
Dodt, H.-U., Leischner, U., Schierloh, A., Jährling, N., Mauch, C. P., Deininger, K., Deussing, J. M., Eder, M., Zieglgänsberger, W., & Becker, K. (2007) · Nature Methods · doi:10.1038/nmeth1036 · Cited by 1,238
Mechanism of hard-nanomaterial clearance by the liver
Tsoi, K. M., MacParland, S. A., Ma, X.-Z., Spetzler, V. N., Echeverri, J., Ouyang, B., Fadel, S. M., Sykes, E. A., Goldaracena, N., Kaths, J. M., et al. (2016) · Nature Materials · doi:10.1038/nmat4718 · Cited by 1,010
In situ sprayed bioresponsive immunotherapeutic gel for post-surgical cancer treatment
Chen, Q., Wang, C., Zhang, X., Chen, G., Hu, Q., Li, H., Wang, J., Wen, D., Zhang, Y., Lu, Y., et al. (2019) · Nature Nanotechnology · doi:10.1038/s41565-018-0319-4 · Cited by 1,010
Minimal "Self" Peptides That Inhibit Phagocytic Clearance and Enhance Delivery of Nanoparticles
Rodriguez, P. L., Harada, T., Christian, D. A., Pantano, D. A., Tsai, R. K., & Discher, D. E. (2013) · Science · doi:10.1126/science.1229568 · Cited by 985
Recent progress in drug delivery
Li, C., Wang, J., Wang, Y., Gao, H., Wei, G., Huang, Y., Yu, H., Gan, Y., Wang, Y., Mei, L., et al. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.08.003 · Cited by 818
Self-citationThe CD47‐SIRPα signaling axis as an innate immune checkpoint in cancer
Matlung, H. L., Szilagyi, K., Barclay, N. A., & van den Berg, T. K. (2017) · Immunological Reviews · doi:10.1111/imr.12527 · Cited by 557
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Recent Advances in Nanocarrier-Assisted Therapeutics Delivery Systems
Su, S., & M. Kang, P. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12090837 · Cited by 259
Li, S., Li, L., Lin, X., Chen, C., Luo, C., & Huang, Y. (2022) · ACS Nano · doi:10.1021/acsnano.1c06022 · Cited by 78
Metadata
- Authors
- Tang, Y., Wang, X., Li, J., Nie, Y., Liao, G., Yu, Y., & Li, C.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-11-05
- Volume
- 13
- Issue
- 11
- Pages
- 13015-13026
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2985892902
- Cited by
- 339
- References
- 46
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tang, Y., Wang, X., Li, J., Nie, Y., Liao, G., Yu, Y., & Li, C. (2019). Overcoming the Reticuloendothelial System Barrier to Drug Delivery with a “Don’t-Eat-Us” Strategy. ACS Nano. https://doi.org/10.1021/acsnano.9b05679
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