| Literature DB >> 34418541 |
Sophie Ramadier1, Anne Chalumeau2, Tristan Felix2, Nadia Othman3, Sherazade Aknoun3, Antonio Casini4, Giulia Maule4, Cecile Masson5, Anne De Cian6, Giacomo Frati2, Megane Brusson2, Jean-Paul Concordet6, Marina Cavazzana7, Anna Cereseto4, Wassim El Nemer8, Mario Amendola9, Benoit Wattellier3, Vasco Meneghini10, Annarita Miccio11.
Abstract
Sickle cell disease (SCD) is caused by a mutation in the β-globin gene leading to polymerization of the sickle hemoglobin (HbS) and deformation of red blood cells. Autologous transplantation of hematopoietic stem/progenitor cells (HSPCs) genetically modified using lentiviral vectors (LVs) to express an anti-sickling β-globin leads to some clinical benefit in SCD patients, but it requires high-level transgene expression (i.e., high vector copy number [VCN]) to counteract HbS polymerization. Here, we developed therapeutic approaches combining LV-based gene addition and CRISPR-Cas9 strategies aimed to either knock down the sickle β-globin and increase the incorporation of an anti-sickling globin (AS3) in hemoglobin tetramers, or to induce the expression of anti-sickling fetal γ-globins. HSPCs from SCD patients were transduced with LVs expressing AS3 and a guide RNA either targeting the endogenous β-globin gene or regions involved in fetal hemoglobin silencing. Transfection of transduced cells with Cas9 protein resulted in high editing efficiency, elevated levels of anti-sickling hemoglobins, and rescue of the SCD phenotype at a significantly lower VCN compared to the conventional LV-based approach. This versatile platform can improve the efficacy of current gene addition approaches by combining different therapeutic strategies, thus reducing the vector amount required to achieve a therapeutic VCN and the associated genotoxicity risk.Entities:
Keywords: CRISPR-Cas9 nuclease; genome editing; lentiviral vectors; sickle cell disease
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Year: 2021 PMID: 34418541 PMCID: PMC8753569 DOI: 10.1016/j.ymthe.2021.08.019
Source DB: PubMed Journal: Mol Ther ISSN: 1525-0016 Impact factor: 11.454