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Bioinformatics analysis of a CLCN5 geneframeshift mutation in a patient with Dent disease.

Authors: Yingying, Zhang; Nannan, Li; Liangliang, Fan; Jishi, Liu;

Bioinformatics analysis of a CLCN5 geneframeshift mutation in a patient with Dent disease.

Abstract

Dent disease is a rare X-linked recessive inherited renal tubular disorder characterized by low molecular weight proteinuria (LMWP), hypercalciuria, nephrocalcinosis, and other clinical features, and can lead to progressive renal failure. It is primarily caused by mutations in the CLCN5 gene. This article reports the case of a 10-year-old male patient of Chinese descent who was incidentally found to have asymptomatic proteinuria during a routine health examination. Comprehensive biochemical testing and clinical evaluation revealed significant LMWP and hypercalciuria, while renal biopsy showed mesangial cell and matrix proliferation. Whole exome sequencing identified a novel deletion mutation in the CLCN5 gene (NM_001127899.4, c.1158delC, p.F387Lfs*42) causing a frameshift and premature termination, which is likely to disrupt its role in chloride/hydrogen ion exchange and endosomal acidification. Bioinformatic analysis indicated the variant is pathogenic. Genetic testing plays an important role in diagnosing rare kidney diseases. Early identification of pathogenic mutations is essential for facilitating timely intervention and appropriate management, potentially enhancing patient outcomes. This report expands the CLCN5 mutation spectrum and contributes to understanding the genetic and molecular mechanisms of Dent disease.

Related Organizations
Keywords

Dent Disease, Male, Proteinuria, Chloride Channels, Mutation, Hypercalciuria, Humans, Computational Biology, Child

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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