Identification of NPHS1 Genetic Variations in Cohort of Egyptian Patients with Congenital Nephrotic Syndrome

Author:

Samy AmiraORCID,Elkaffas Rasha,Fadel Fatina,Mosaad Nehad,Madani Hanan

Abstract

Introduction: Autosomal recessive variations in NPHS1 gene represent common cause of congenital nephrotic syndrome (CNS). The disease is characterized by considerable proteinuria presenting in the first 90days of life. CNS has a poor outcome and usually leads to end stage renal disease by 2-3 years of life.   NPHS1 encodes the protein nephrin, expressed in inter-podocyte slit diaphragm. Aim of work: The main objective of this cross-sectional study was to perform the analysis of the NPHS1 gene in 24 Egyptian patients with CNS aiming to determine the molecular cause of the disease and to detect their phenotype/genotype correlations. Methods: Polymerase chain reaction followed by direct sequencing of exons (3,4,6,7,18,19) of NPHS1 gene was performed in 24 neonates with CNS with median age 25 days (1-90 day). Results:  three pathogenic variants were detected in five patients. They were one frame shift variant in exon 19, one missense de novo variant in exon 6 and one In-frame deletion variant in exon 4. Three benign variants were seen in seven patients in exon and intron 3. Conclusion: although the number of patient included in the study is small, but the results of the study presented de novo likely pathogenic mutation in exon 6 not reported before in 2 patients and 2 reported pathogenic variants. Molecular diagnosis is advised to be performed early in the diagnosis of CNS to avoid unnecessary immunesupp-ression and start early suitable treatment.

Publisher

Scientific Foundation SPIROSKI

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3