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Cited by 653

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Enhanced antibody half-life improves in vivo activity

Open access
Zalevsky, Jonathan, Chamberlain, Aaron K, Horton, Holly M, Karki, Sher, Leung, Irene W L, Sproule, Thomas J, Lazar, Greg A, Roopenian, Derry C, Desjarlais, John R·2010·Nature Biotechnology

Abstract

Improved affinity for the neonatal Fc receptor (FcRn) is known to extend antibody half-life in vivo. However, this has never been linked with enhanced therapeutic efficacy. We tested whether antibodies with half-lives extended up to fivefold in human (h)FcRn transgenic mice and threefold in cynomolgus monkeys retain efficacy at longer dosing intervals. We observed that prolonged exposure due to FcRn-mediated enhancement of half-life improved antitumor activity of Fc-engineered antibodies in an hFcRn/Rag1−/− mouse model. This bridges the demand for dosing convenience with the clinical necessity of maintaining efficacy.

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Crossref · 10.1038/nbt.1601

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Metadata

Authors
Zalevsky, J., Chamberlain, A. K., Horton, H. M., Karki, S., Leung, I. W. L., Sproule, T. J., Lazar, G. A., Roopenian, D. C., & Desjarlais, J. R.
Venue
Nature Biotechnology
Published
2010-01-17
Volume
28
Issue
2
Pages
157-159
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W1979162895
Cited by
653
References
2
FWCI
25.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Enhanced antibody half-life improves in vivo activity. https://app.cochat.ai/papers/10.1038/nbt.1601
The paper
Zalevsky, J., Chamberlain, A. K., Horton, H. M., Karki, S., Leung, I. W. L., Sproule, T. J., Lazar, G. A., Roopenian, D. C., & Desjarlais, J. R. (2010). Enhanced antibody half-life improves in vivo activity. Nature Biotechnology. https://doi.org/10.1038/nbt.1601

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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.