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Trends in Biotechnology
Article . 2023 . Peer-reviewed
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Trends in Biotechnology
Article . 2023 . Peer-reviewed
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Evading and overcoming AAV neutralization in gene therapy

Authors: Joseph Earley; Elena Piletska; Giuseppe Ronzitti; Sergey Piletsky;

Evading and overcoming AAV neutralization in gene therapy

Abstract

Adeno-associated virus (AAV)-derived viral vectors are a promising platform for the delivery of curative, life-changing therapies to a huge number of patients with monogenic disorders. There are currently over 250 clinical trials ongoing worldwide. However, for these therapies to benefit as many patients as possible, techniques must be developed to treat those with pre-existing immunity and to potentially allow re-administration of a dose in the future, should efficacy wane over time. This review discusses the current state and prospects of technologies to evade and overcome these immune responses and allow successful treatment of the greatest number of patients possible.

Keywords

Genetic Vectors, Humans, Genetic Therapy, Antibodies, Neutralizing

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
58
Top 1%
Top 10%
Top 1%
hybrid