Differential myofiber-type transduction preference of adeno-associated virus serotypes 6 and 9

Abstract Background Gene therapy strategies are promising therapeutic options for monogenic muscular dystrophies, with several currently underways. The adeno-associated viral (AAV) vector is among the most effective gene delivery systems. However, transduction efficiency in skeletal muscles varies between AAV serotypes, with the underlying factors poorly understood. We hypothesized that myofiber-specific tropism differs between AAV serotypes. Methods We developed a quantitative histology procedure and generated myofiber pattern maps for four myosin heavy chain (MyHC) isotypes. We compared myofiber pattern maps between AAV6 or AAV9 injected tibialis anterior muscle in mice. We correlated MyHC expression with AAV-derived green fluorescence protein (GFP) expression using statistical models. Results We found that MyHC-2x expressing myofibers display a significantly higher preference for AAV transduction, whereas MyHC-2b expressing myofibers negatively correlated with AAV transduction. In addition, we show that AAV9-mediated transduction is enriched in myofibers expressing MyHC-1 and MyHC-1/2a. Moreover, AAV9-mediated transduction can predominantly be predicted by the expression of MyHC isotypes. In contrast, AAV6 transduction can be predicted by myofiber size but not by myofiber types. Conclusions Our findings identify differences between AAV6 and AAV9 for myofiber-type preferences, which could be an underlying factor for mosaic transduction of skeletal muscle. Adjusting AAV serotype for specific muscle conditions can therefore improve transduction efficacy in clinical applications.

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PID https://www.doi.org/10.6084/m9.figshare.c.3613793
PID https://www.doi.org/10.6084/m9.figshare.c.3613793.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.3613793
URL https://dx.doi.org/10.6084/m9.figshare.c.3613793.v1
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Author Riaz, Muhammad
Author Yotam Raz
Author Moloney, Elizabeth
Author Putten, Maaike Van
Author Krom, Yvonne D.
Author Silvere Van Der Maarel
Author Verhaagen, Joost
Author Raz, Vered
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Publication Date 2016-12-14
Publisher Figshare
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keyword FOS: Health sciences
keyword FOS: Biological sciences
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::d586d7b4049934b6f252f7b4cb69a034
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Last Updated 8 January 2021, 18:05 (CET)
Created 8 January 2021, 18:05 (CET)