The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Macrophage membrane functionalized biomimetic nanoparticles for targeted anti-atherosclerosis applications
Open accessAbstract
Atherosclerosis (AS), the underlying cause of most cardiovascular events, is one of the most common causes of human morbidity and mortality worldwide due to the lack of an efficient strategy for targeted therapy.In this work, we aimed to develop an ideal biomimetic nanoparticle for targeted AS therapy.Methods: Based on macrophage "homing" into atherosclerotic lesions and cell membrane coating nanotechnology, biomimetic nanoparticles (MM/RAPNPs) were fabricated with a macrophage membrane (MM) coating on the surface of rapamycin-loaded poly (lactic-co-glycolic acid) copolymer (PLGA) nanoparticles (RAPNPs).Subsequently, the physical properties of the MM/RAPNPs were characterized.The biocompatibility and biological functions of MM/RAPNPs were determined in vitro.Finally, in AS mouse models, the targeting characteristics, therapeutic efficacy and safety of the MM/RAPNPs were examined.Results: The advanced MM/RAPNPs demonstrated good biocompatibility.Due to the MM coating, the nanoparticles effectively inhibited the phagocytosis by macrophages and targeted activated endothelial cells in vitro.In addition, MM-coated nanoparticles effectively targeted and accumulated in atherosclerotic lesions in vivo.After a 4-week treatment program, MM/RAPNPs were shown to significantly delay the progression of AS.Furthermore, MM/RAPNPs displayed favorable safety performance after long-term administration.Conclusion: These results demonstrate that MM/RAPNPs could efficiently and safely inhibit the progression of AS.These biomimetic nanoparticles may be potential drug delivery systems for safe and effective anti-AS applications.
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Citations
Cites
Inflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002 · cited 1×
“target is one of the major hurdles that almost all platforms must overcome [13-15].”
BackgroundInflammation in Atherosclerosis
Libby, P. (2012) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.179705 · Cited by 3,736
Endothelial Cell Dysfunction and the Pathobiology of Atherosclerosis
Gimbrone, M. A., & García-Cardeña, G. (2016) · Circulation Research · doi:10.1161/circresaha.115.306301 · Cited by 3,476
Macrophages in atherosclerosis: a dynamic balance
Moore, K. J., Sheedy, F. J., & Fisher, E. A. (2013) · Nature reviews. Immunology · doi:10.1038/nri3520 · Cited by 2,559
Vascular smooth muscle cells in atherosclerosis
Bennett, M. R., Sinha, S., & Owens, G. K. (2016) · Circulation Research · doi:10.1161/circresaha.115.306361 · Cited by 2,179
Cell Membrane Coating Nanotechnology
Fang, R. H., Kroll, A. V., Gao, W., & Zhang, L. (2018) · Advanced Materials · doi:10.1002/adma.201706759 · Cited by 1,885
Nanoparticle biointerfacing by platelet membrane cloaking
Hu, C.-M. J., Fang, R. H., Wang, K.-C., Luk, B. T., Thamphiwatana, S., Dehaini, D., Nguyen, P., Angsantikul, P., Wen, C. H., Kroll, A. V., et al. (2015) · Nature · doi:10.1038/nature15373 · Cited by 1,789
Self-citationHerrington, W., Lacey, B., Sherliker, P., Armitage, J., & Lewington, S. (2016) · Circulation Research · doi:10.1161/circresaha.115.307611 · Cited by 1,469
Parodi, A., Quattrocchi, N., van de Ven, A. L., Chiappini, C., Evangelopoulos, M., Martinez, J. O., Brown, B. S., Khaled, S. Z., Yazdi, I. K., Enzo, M. V., et al. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.212 · Cited by 1,168
Cited by
Inflammation and atherosclerosis: signaling pathways and therapeutic intervention
Kong, P., Cui, Z.-Y., Huang, X.-F., Zhang, D.-D., Guo, R.-J., & Han, M. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00955-7 · Cited by 1,183
Huang, Y., Guo, X., Wu, Y., Chen, X., Feng, L., Xie, N., & Shen, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01745-z · Cited by 490
Sun, W., Xu, Y., Yao, Y., Yue, J., Wu, Z., Li, H., Shen, G., Liao, Y., Wang, H., & Zhou, W. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01296-x · Cited by 81
Sun, J., Ju, F., Jin, J., Wang, H. L., Li, Z. J., Sun, Y. C., Chen, Q. Z., Yang, Q. Q., Tan, J., & Zhou, Y. L. (2023) · Small · doi:10.1002/smll.202300326 · Cited by 41
Metadata
- Authors
- Wang, Y., Zhang, K., Li, T., Maruf, A., Qin, X., Luo, L., Zhong, Y., Qiu, J., McGinty, S., Pontrelli, G., Liao, X., Wu, W., & Wang, G.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2021
- Volume
- 11
- Issue
- 1
- Pages
- 164-180
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W3092269784
- Cited by
- 409
- References
- 61
- FWCI
- 10.14
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, Y., Zhang, K., Li, T., Maruf, A., Qin, X., Luo, L., Zhong, Y., Qiu, J., McGinty, S., Pontrelli, G., Liao, X., Wu, W., & Wang, G. (2021). Macrophage membrane functionalized biomimetic nanoparticles for targeted anti-atherosclerosis applications. Theranostics. https://doi.org/10.7150/thno.47841
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