A novel synonymous ABCA3 variant identified in a Chinese family with lethal neonatal respiratory failure
Abstract Background: Lethal respiratory failure is mostly caused by pulmonary surfactant (PS) deficiency and is the main cause of neonatal death. PS metabolism dysfunction caused by mutations in the ABCA3 gene is a rare disease with very poor prognosis. However, the underlying mechanism of genetic mutations causing PS metabolism dysfunction has not been fully elucidated yet. This study aimed to identify the genetic features in a family with lethal respiratory failure.Methods: We studied members of a two-generation Chinese family including a female proband, her parents, her identical twin sister, and her older sister. Whole exome sequencing (WES), Sanger sequencing, and real-time quantitative polymerase chain reaction (PCR) were used to identify and validate the ABCA3 mutation. The potential pathogenicity of the identified synonymous variant was predicted using splice site algorithms (dbscSNV11_AdaBoost, dbscSNV11_RandomForest, and HSF).Results: All patients showed severe respiratory distress, which could not be relieved by mechanical ventilation, supplementation of surfactants, or steroid therapy, and died at an early age. Molecular genetic analysis revealed that the patients had compound heterozygous ABCA3 variants, including a novel synonymous variant c.G873A (p.Lys291Lys) in exon 8 derived from the mother and a heterozygous deletion of exons 4-7 derived from the father. The synonymous variant was consistently predicted to be a cryptic splice donor site that may lead to aberrant splicing of the pre-mRNA by three different splice site algorithms. The deletion of exons 4-7 of the ABCA3 gene was determined to be a loss-of-function pathogenic variant.Conclusions: We identified a novel synonymous variant and a deletion in the ABCA3 gene that may be responsible for the pathogenesis in patients in this family. These results enrich the known mutational spectrum of the ABCA3 gene. Moreover, the study of ABCA3 mutations is helpful for the realization of patient-specific therapies.