Identification of c.146G > A mutation in a Fabry patient and its correction by customized Cas9 base editors in vitro

Fabry disease (FD) is a rare X-linked lysosomal storage disorder caused by mutations in the GLA gene, leading to reduced α-galactosidase (α-Gal A) activity. Current treatments, like enzyme replacement, have limitations affecting efficacy and patient outcomes. CRISPR/Cas9 genome editing tools may offer the potential to develop therapeutic strategy via correcting GLA mutations. In this study, we diagnosed a female FD patient with a missense mutation in exon 1 of the GLA gene (c.146G > A, p.R49H). Bioinformatic predictions and biochemical analyses in GLA-knockout cells revealed that this mutation significantly reduced α-Gal A stability and activity, confirming its pathogenicity. To correct this, we used adenine base editing. The mutation, along with a nearby bystander A, was efficiently edited by the traditional N-terminal adenine base editor. To avoid unwanted bystander editing, we developed a series of domain-inlaid base editors with the aim of narrowing editing window. The most effective variant, with deaminase inserted between the 947th and 948th residues of the RUVC3 domain, was further optimized by modifying linker rigidity. These adjustments shifted the editing window, eliminating bystander editing. Our findings clarify the pathogenic nature of a novel GLA mutation and demonstrate the potential of a customized base editor for therapeutic application in FD.

Authors

Institutions

Publication Details

Journal
International Journal of Biological Macromolecules
Published
2024-10-28
DOI
https://doi.org/10.1016/j.ijbiomac.2024.136922
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of c.146G > A mutation in a Fabry patient and its correction by customized Cas9 base editors in vitro

Mei Luo, Shaohua Yao, Enze Liu, Hyun Yi et al.
1 links
International Journal of Biological Macromolecules
CRISPR and Genetic Engineering
article

Identification of c.146G > A mutation in a Fabry patient and its correction by customized Cas9 base editors in vitro

Mei Luo, Shaohua Yao, Enze Liu, Hyun Yi, Zhangxue Hu, Hao Li, Zhi Yang, Xinyu Han
article en

Abstract

Fabry disease (FD) is a rare X-linked lysosomal storage disorder caused by mutations in the GLA gene, leading to reduced α-galactosidase (α-Gal A) activity. Current treatments, like enzyme replacement, have limitations affecting efficacy and patient outcomes. CRISPR/Cas9 genome editing tools may offer the potential to develop therapeutic strategy via correcting GLA mutations. In this study, we diagnosed a female FD patient with a missense mutation in exon 1 of the GLA gene (c.146G > A, p.R49H). Bioinformatic predictions and biochemical analyses in GLA-knockout cells revealed that this mutation significantly reduced α-Gal A stability and activity, confirming its pathogenicity. To correct this, we used adenine base editing. The mutation, along with a nearby bystander A, was efficiently edited by the traditional N-terminal adenine base editor. To avoid unwanted bystander editing, we developed a series of domain-inlaid base editors with the aim of narrowing editing window. The most effective variant, with deaminase inserted between the 947th and 948th residues of the RUVC3 domain, was further optimized by modifying linker rigidity. These adjustments shifted the editing window, eliminating bystander editing. Our findings clarify the pathogenic nature of a novel GLA mutation and demonstrate the potential of a customized base editor for therapeutic application in FD.

International Journal of Biological MacromoleculesVol. 282(Pt 3)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan Province Science and Technology Support Program, Key Technologies Research and Development Program, West China Hospital, Sichuan University, Key Research and Development Program of Sichuan Province
Zero hunger
Openalex Percentile: Top 83%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.