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ChemMedChem
Article . 2015 . Peer-reviewed
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ChemMedChem
Article . 2015
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In Vivo Targeting through Click Chemistry

Authors: Brudno, Yevgeny; Desai, Rajiv M.; Kwee, Brian; Joshi, Neel; Aizenberg, Michael; Mooney, David;

In Vivo Targeting through Click Chemistry

Abstract

AbstractTargeting small molecules to diseased tissues as therapy or diagnosis is a significant challenge in drug delivery. Drug‐eluting devices implanted during invasive surgery allow the controlled presentation of drugs at the disease site, but cannot be modified once the surgery is complete. We demonstrate that bioorthogonal click chemistry can be used to target circulating small molecules to hydrogels resident intramuscularly in diseased tissues. We also demonstrate that small molecules can be repeatedly targeted to the diseased area over the course of at least one month. Finally, two bioorthogonal reactions were used to segregate two small molecules injected as a mixture to two separate locations in a mouse disease model. These results demonstrate that click chemistry can be used for pharmacological drug delivery, and this concept is expected to have applications in refilling drug depots in cancer therapy, wound healing, and drug‐eluting vascular grafts and stents.

Country
United States
Keywords

Azides, Alginates, 610, Cyclooctanes, Heterocyclic Compounds, 1-Ring, Mice, Drug Delivery Systems, Glucuronic Acid, Benzene Derivatives, Animals, Fluorescent Dyes, Hexuronic Acids, Muscles, drug targeting, Hydrogels, 540, gels, bioorthogonal chemistry, Alkynes, click chemistry, drug delivery, Click Chemistry

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
Cancer Research