The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Biomimetic nanoparticles for inflammation targeting
Open accessAbstract
There have been many recent exciting developments in biomimetic nanoparticles for biomedical applications. Inflammation, a protective response involving immune cells, blood vessels, and molecular mediators directed against harmful stimuli, is closely associated with many human diseases. As a result, biomimetic nanoparticles mimicking immune cells can help achieve molecular imaging and precise drug delivery to these inflammatory sites. This review is focused on inflammation-targeting biomimetic nanoparticles and will provide an in-depth look at the design of these nanoparticles to maximize their benefits for disease diagnosis and treatment.
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Citations
Cites
Immunity, Inflammation, and Cancer
Grivennikov, S. I., Greten, F. R., & Karin, M. (2010) · Cell · doi:10.1016/j.cell.2010.01.025 · Cited by 10,755
Inflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Mizgerd, J. P., Kubo, H., Kutkoski, G. J., Bhagwan, S. D., Scharffetter-Kochanek, K., Beaudet, A. L., & Doerschuk, C. M. (1997) · The Journal of Experimental Medicine · doi:10.1084/jem.186.8.1357 · Cited by 7,306
Gold Nanoparticles in Chemical and Biological Sensing
Saha, K., Agasti, S. S., Kim, C., Li, X., & Rotello, V. M. (2012) · Chemical Reviews · doi:10.1021/cr2001178 · Cited by 4,620
Unravelling the pathogenesis of inflammatory bowel disease
Xavier, R. J., & Podolsky, D. K. (2007) · Nature · doi:10.1038/nature06005 · Cited by 4,364
Inflammation in Atherosclerosis
Libby, P. (2012) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.179705 · Cited by 3,736
Cytokines in the pathogenesis of rheumatoid arthritis
McInnes, I. B., & Schett, G. (2007) · Nature Reviews Immunology · doi:10.1038/nri2094 · Cited by 2,529
Erythrocyte membrane-camouflaged polymeric nanoparticles as a biomimetic delivery platform
Hu, C.-M. J., Zhang, L., Aryal, S., Cheung, C., Fang, R. H., & Zhang, L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106634108 · Cited by 2,433
The inflammatory response in myocardial infarction
Frangogiannis, N. (2002) · Cardiovascular Research · doi:10.1016/s0008-6363(01)00434-5 · Cited by 2,011
Interleukin-22, a TH17 cytokine, mediates IL-23-induced dermal inflammation and acanthosis
Zheng, Y., Danilenko, D. M., Valdez, P., Kasman, I., Eastham-Anderson, J., Wu, J., & Ouyang, W. (2007) · Nature · doi:10.1038/nature05505 · Cited by 1,862
Cited by
Meng, W., He, C., Hao, Y., Wang, L., Li, L., & Zhu, G. (2020) · Drug Delivery · doi:10.1080/10717544.2020.1748758 · Cited by 592
Davis, M. J., Earley, S., Li, Y.-S., & Chien, S. (2023) · Physiological Reviews · doi:10.1152/physrev.00053.2021 · Cited by 273
Dendrimer-Based Drug Delivery Systems for Brain Targeting
Zhu, Y., Liu, C., & Pang, Z. (2019) · Biomolecules · doi:10.3390/biom9120790 · Cited by 220
Self-citationNguyen, D. D., & Lai, J.-Y. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.134970 · Cited by 178
Ruan, Y., Xiong, Y., Fang, W., Yu, Q., Mai, Y., Cao, Z., Wang, K., Lei, M., Xu, J., Liu, Y., et al. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01524-4 · Cited by 85
“DSPE-PEG was then applied onto the surface of the SPIO [36].”
Method
Metadata
- Authors
- Jin, K., Luo, Z., Zhang, B., & Pang, Z.
- Venue
- Acta Pharmaceutica Sinica B
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 8
- Issue
- 1
- Pages
- 23-33
- ISSN
- 2211-3835 (ISSN-L)
- OpenAlex
- W2778783953
- Cited by
- 359
- References
- 93
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jin, K., Luo, Z., Zhang, B., & Pang, Z. (2018). Biomimetic nanoparticles for inflammation targeting. Acta Pharmaceutica Sinica B. https://doi.org/10.1016/j.apsb.2017.12.002
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
