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Usage Information

Rescuing AAV gene transfer from neutralizing antibodies with an IgG-degrading enzyme
Zachary C. Elmore, Daniel K. Oh, Katherine E. Simon, Marco M. Fanous, Aravind Asokan
Zachary C. Elmore, Daniel K. Oh, Katherine E. Simon, Marco M. Fanous, Aravind Asokan
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Resource and Technical Advance Immunology Therapeutics

Rescuing AAV gene transfer from neutralizing antibodies with an IgG-degrading enzyme

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Abstract

Preexisting humoral immunity to recombinant adeno-associated virus (AAV) vectors restricts the treatable patient population and efficacy of human gene therapies. Approaches to clear neutralizing antibodies (NAbs), such as plasmapheresis and immunosuppression, are either ineffective or cause undesirable side effects. Here, we describe a clinically relevant strategy to rapidly and transiently degrade NAbs before AAV administration using an IgG-degrading enzyme (IdeZ). We demonstrate that recombinant IdeZ efficiently cleaved IgG in dog, monkey, and human antisera. Prophylactically administered IdeZ cleaved circulating human IgG in mice and prevented AAV neutralization in vivo. In macaques, a single intravenous dose of IdeZ rescued AAV transduction by transiently reversing seropositivity. Importantly, IdeZ efficiently cleaved NAbs and rescued AAV transduction in mice passively immunized with individual human donor sera representing a diverse population. Our antibody clearance approach presents a potentially new paradigm for expanding the prospective patient cohort and improving efficacy of AAV gene therapy.

Authors

Zachary C. Elmore, Daniel K. Oh, Katherine E. Simon, Marco M. Fanous, Aravind Asokan

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 1,202 552
PDF 166 84
Figure 360 1
Supplemental data 79 13
Citation downloads 105 0
Totals 1,912 650
Total Views 2,562
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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