The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime
Open accessAbstract
The glomerular filtration barrier is known as a “size cut-off” slit to retain nanoparticles or proteins larger than 6~8 nm in the body, and to rapidly excrete the smaller ones through the kidneys. However, in a sub-nm size regime, we found that this barrier behaved as an atomically precise “bandpass” filter to significantly slow down renal clearance of few-atom gold nanoclusters (AuNCs) with the same surface ligands but different sizes (Au18, Au15 and Au10–11). Compared to Au25 (~1.0 nm), just few-atom decreases in the size resulted in 4~9 times reductions in the renal clearance efficiency in the early elimination stage because the smaller AuNCs were more readily trapped by the glomerular glycocalyx than the larger ones. This unique in vivo nano-bio interaction in the sub-nm regime also slows down the extravasation of sub-nm AuNCs from normal blood vessels and enhances their passive targeting to cancerous tissues through enhanced permeability and retention effect. This discovery highlights the size precision in the body’s response to nanoparticles and opens a new pathway to develop nanomedicines for many diseases associated with glycocalyx dysfunction.
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Cites
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Metadata
- Authors
- Du, B., Jiang, X., Das, A., Zhou, Q., Yu, M., Jin, R., & Zheng, J.
- Venue
- Nature Nanotechnology
- Published
- 2017-09-11
- Volume
- 12
- Issue
- 11
- Pages
- 1096-1102
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2753358702
- Cited by
- 587
- References
- 42
- FWCI
- 22.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Du, B., Jiang, X., Das, A., Zhou, Q., Yu, M., Jin, R., & Zheng, J. (2017). Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime. Nature Nanotechnology. https://doi.org/10.1038/nnano.2017.170
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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