Focal segmental glomerulosclerosis (FSGS) is a leading kidney disease, clinically associated with proteinuria and progressive renal failure. The occurrence of this disease is partly related to gene mutations. We describe a single affected family member who presented with FSGS. We used high-throughput sequencing, sanger sequencing to identify the pathogenic mutations, and a systems genetics analysis in the BXD mice was conducted to explore the genetic regulatory mechanisms of pathogenic genes in the development of FSGS. We identified high urinary protein (++++) and creatinine levels (149 μmol/L) in a 29-year-old male diagnosed with a 5-year history of grade 2 hypertension. Histopathology of the kidney biopsy showed stromal hyperplasia at the glomerular segmental sclerosis and endothelial cell vacuolation degeneration. Whole-exome sequencing followed by Sanger sequencing revealed a heterozygous missense mutation (c.643C > T) in exon 2 of TRPC6, leading to the substitution of arginine with tryptophan at position 215 (p.Arg215Trp). Systems genetics analysis of the 53 BXD mice kidney transcriptomes identified Pygm as the upstream regulator of Trpc6. Those two genes are jointly involved in the regulation of FSGS mainly via Wnt and Hippo signaling pathways. We present a novel variant in the TRPC6 gene that causes FSGS. Moreover, our data suggested TRPC6 works with PYGM, as well as Wnt and Hippo signaling pathways to regulate renal function, which could guide future clinical prevention and targeted treatment for FSGS outcomes.
Keyphrases
- genome wide
- vascular smooth muscle cells
- single cell
- genome wide identification
- signaling pathway
- copy number
- transcription factor
- stem cells
- high throughput sequencing
- cell proliferation
- dna methylation
- blood pressure
- endothelial cells
- high fat diet induced
- genome wide analysis
- bone marrow
- nitric oxide
- early onset
- epithelial mesenchymal transition
- pi k akt
- angiotensin ii
- type diabetes
- intellectual disability
- big data
- metabolic syndrome
- gene expression
- high glucose
- young adults
- combination therapy
- deep learning
- endoplasmic reticulum stress
- current status
- small molecule