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Assessment of pre-clinical liver models based on their ability to predict the liver-tropism of adeno-associated virus vectors

Authors :
Adrian Westhaus
Marti Cabanes-Creus
Kimberley L. Dilworth
Erhua Zhu
David Salas Gómez
Renina G. Navarro
Anais K. Amaya
Suzanne Scott
Magdalena Kwiatek
Alexandra L. McCorkindale
Tara E. Hayman
Silke Frahm
Dany P. Perocheau
Bang Manh Tran
Elizabeth Vincan
Sharon L. Wong
Shafagh A. Waters
Georgina E. Riddiough
Marcos V. Perini
Laurence O.W. Wilson
Julien Baruteau
Sebastian Diecke
Gloria González-Aseguinolaza
Giorgia Santilli
Adrian J. Thrasher
Ian E. Alexander
Leszek Lisowski
Publication Year :
2023
Publisher :
Mary Ann Liebert, 2023.

Abstract

The liver is a prime target for in vivo gene therapies using recombinant adeno-associated viral vectors (rAAV). Multiple clinical trials have been undertaken for this target in the past 15 years, however we are still to see market approval of the first liver-targeted AAV-based gene therapy. Inefficient expression of the therapeutic transgene, vector-induced liver toxicity and capsid, and/or transgene-mediated immune responses reported at high vector doses are the main challenges to date. One of the contributing factors to the insufficient clinical outcomes, despite highly encouraging preclinical data, is the lack of robust, biologically- and clinically-predictive preclinical models. To this end, this study reports findings of a functional evaluation of six AAV vectors in twelve preclinical models of the human liver, with the aim to uncover which combination of models is the most relevant for the identification of AAV capsid variant for safe and efficient transgene delivery to primary human hepatocytes. The results, generated by studies in models ranging from immortalized cells, iPSC-derived and primary hepatocytes, and primary human hepatic organoids to in vivo models, increased our understanding of the strengths and weaknesses of each system. This should allow the development of novel gene therapies targeting the human liver.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....456eba301b4b73f9427328cdc937aa92