The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Understanding Nanomaterial–Liver Interactions to Facilitate the Development of Safer Nanoapplications
Open accessAbstract
Nanomaterials (NMs) are widely used in commercial and medical products, such as cosmetics, vaccines, and drug carriers. Exposure to NMs via various routes such as dermal, inhalation, and ingestion has been shown to gain access to the systemic circulation, resulting in the accumulation of NMs in the liver. The unique organ structures and blood flow features facilitate the liver sequestration of NMs, which may cause adverse effects in the liver. Currently, most in vivo studies are focused on NMs accumulation at the organ level and evaluation of the gross changes in liver structure and functions, however, cell‐type‐specific uptake and responses, as well as the molecular mechanisms at cellular levels leading to effects at organ levels are lagging. Herein, the authors systematically review diverse interactions of NMs with the liver, specifically on major liver cell types including Kupffer cells (KCs), liver sinusoidal endothelial cells (LSECs), hepatic stellate cells (HSCs), and hepatocytes as well as the detailed molecular mechanisms involved. In addition, the knowledge gained on nano‐liver interactions that can facilitate the development of safer nanoproducts and nanomedicine is also reviewed.
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Cellulose nanomaterials review: structure, properties and nanocomposites
Moon, R. J., Martini, A., Nairn, J., Simonsen, J., & Youngblood, J. (2011) · Chemical Society Reviews · doi:10.1039/c0cs00108b · Cited by 6,756
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores
Liu, X., Zhang, Z., Ruan, J., Pan, Y., Magupalli, V. G., Wu, H., & Lieberman, J. (2016) · Nature · doi:10.1038/nature18629 · Cited by 3,202
Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine · doi:10.2217/17435889.3.5.703 · Cited by 2,149
Nanoparticle Size and Surface Chemistry Determine Serum Protein Adsorption and Macrophage Uptake
Walkey, C. D., Olsen, J. B., Guo, H., Emili, A., & Chan, W. C. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja2084338 · Cited by 1,926
Walkey, C. D., & Chan, W. C. W. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15233e · Cited by 1,758
The mononuclear molybdenum enzymes
Hille, R., Hall, J., & Basu, P. (2014) · Chemical Reviews · doi:10.1021/cr400443z · Cited by 1,738
The Technology and Biology of Single-Cell RNA Sequencing
Kolodziejczyk, A. A., Kim, J. K., Svensson, V., Marioni, J. C., & Teichmann, S. A. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.04.005 · Cited by 1,487
Sharifi, S., Behzadi, S., Laurent, S., Laird Forrest, M., Stroeve, P., & Mahmoudi, M. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15188f · Cited by 1,460
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
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Chemical and Biophysical Signatures of the Protein Corona in Nanomedicine
Ren, J., Andrikopoulos, N., Velonia, K., Tang, H., Cai, R., Ding, F., Ke, P. C., & Chen, C. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c02277 · Cited by 284
Self-citationSun, Q., Yang, W., Song, Z., Lu, H., Shang, W., Li, H., Yang, Z., Gao, W., Li, Y., Xu, Y., et al. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c11988 · Cited by 6
Metadata
- Authors
- Li, J., Chen, C., & Xia, T.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2022-02-03
- Volume
- 34
- Issue
- 11
- Pages
- e2106456-e2106456
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4205729477
- Cited by
- 162
- References
- 25
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- green
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