慢性肉芽肿性疾病
遗传增强
生物
严重联合免疫缺陷
分子生物学
免疫学
基因
遗传学
作者
Ryan L. Wong,Sarah Sackey,Devin Brown,Shantha Senadheera,Katelyn E. Masiuk,Jason P. Quintos,Nicole Colindres,Luke Riggan,Richard A. Morgan,Harry L. Malech,Roger P. Hollis,Donald B. Kohn
出处
期刊:Blood
[American Society of Hematology]
日期:2022-11-04
卷期号:141 (9): 1007-1022
被引量:10
标识
DOI:10.1182/blood.2022016074
摘要
Abstract X-linked chronic granulomatous disease (X-CGD) is a primary immunodeficiency caused by mutations in the CYBB gene, resulting in the inability of phagocytic cells to eliminate infections. To design a lentiviral vector (LV) capable of recapitulating the endogenous regulation and expression of CYBB, a bioinformatics-guided approach was used to elucidate the cognate enhancer elements regulating the native CYBB gene. Using this approach, we analyzed a 600-kilobase topologically associated domain of the CYBB gene and identified endogenous enhancer elements to supplement the CYBB promoter to develop MyeloVec, a physiologically regulated LV for the treatment of X-CGD. When compared with an LV currently in clinical trials for X-CGD, MyeloVec showed improved expression, superior gene transfer to hematopoietic stem and progenitor cells (HSPCs), corrected an X-CGD mouse model leading to complete protection against Burkholderia cepacia infection, and restored healthy donor levels of antimicrobial oxidase activity in neutrophils derived from HSPCs from patients with X-CGD. Our findings validate the bioinformatics-guided design approach and have yielded a novel LV with clinical promise for the treatment of X-CGD.
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