4.4 Article

Factors Impacting Efficacy of AAV-Mediated CRISPR-Based Genome Editing for Treatment of Choroidal Neovascularization

Journal

MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT
Volume 17, Issue -, Pages 409-417

Publisher

CELL PRESS
DOI: 10.1016/j.omtm.2020.01.006

Keywords

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Funding

  1. NIH (Bethesda, MD) [K08 EY026101, R21 EY031108, R01 026556]
  2. E. Matilda Ziegler Foundation for the Blind (Darien, CT)
  3. Barr Foundation for Retinal Research (Sacramento, CA)
  4. ARVO Foundation (Rockville, MD)
  5. Alcon Research Institute (Geneva, Switzerland)
  6. Macula Society (Beachwood, OH)
  7. NIH [P30 EY012576]

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Frequent injections of anti-vascular endothelial growth factor (anti-VEGF) agents are a clinical burden for patients with neo-vascular age-related macular degeneration (AMD). Genomic disruption of VEGF-A using adeno-associated viral (AAV) delivery of clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 has the potential to permanently suppress aberrant angiogenesis, but the factors that determine the optimal efficacy are unknown. Here, we investigate two widely used Cas9 endonucleases, SpCas9 and SaCas9, and evaluate the relative contribution of AAV-delivery efficiency and genome-editing rates in vivo to determine the mechanisms that drive successful CRISPR-based suppression of VEGF-A, using a mouse model of laser-induced choroidal neovascularization (CNV). We found that SpCas9 demonstrated higher genome-editing rates, greater VEGF reduction, and more effective CNV suppression than SaCas9, despite similar AAV transduction efficiency between a dual-vector approach for SpCas9 and single-vector system for SaCas9 to deliver the Cas9 orthologs and single guide RNAs (gRNAs). Our results suggest that successful VEGF knockdown using AAV-mediated CRISPR systems may be determined more by the efficiency of genome editing rather than viral transduction and that SpCas9 may be more effective than SaCas9 as a potential therapeutic strategy for CRISPR-based treatment of CNV in neovascular AMD.

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