Comprehensive analysis of the endothelin system in the kidneys of mice, rats, and humans.
Margi PatelNicholas HarrisMalgorzata KasztanKelly A HyndmanPublished in: Bioscience reports (2024)
The intrarenal endothelin (ET) system is an established moderator of kidney physiology and mechanistic contributor to the pathophysiology and progression of chronic kidney disease in humans and rodents. The aim of the present study was to characterize ET system by combining single cell RNA sequencing (scRNA-seq) data with immunolocalization in human and rodent kidneys of both sexes. Using publicly available scRNA-seq data, we assessed sex and kidney disease status (human), age and sex (rats), and diurnal expression (mice) on the kidney ET system expression. In normal human biopsies of both sexes and in rodent kidney samples, the endothelin-converting enzyme-1 (ECE1) and ET-1 were prominent in the glomeruli and endothelium. These data agreed with the scRNA-seq data from these three species, with ECE1/Ece1 mRNA enriched in the endothelium. However, the EDN1/Edn1 gene (encodes ET-1) was rarely detected, even though it was immunolocalized within the kidneys, and plasma and urinary ET-1 excretion are easily measured. Within each species, there were some sex-specific differences. For example, in kidney biopsies from living donors, men had a greater glomerular endothelial cell endothelin receptor B (Ednrb) compared with women. In mice, females had greater kidney endothelial cell Ednrb than male mice. As commercially available antibodies did not work in all species, and RNA expression did not always correlate with protein levels, multiple approaches should be considered to maintain required rigor and reproducibility of the pre- and clinical studies evaluating the intrarenal ET system.
Keyphrases
- endothelial cells
- single cell
- rna seq
- poor prognosis
- electronic health record
- genome wide
- high glucose
- chronic kidney disease
- binding protein
- big data
- nitric oxide
- high fat diet induced
- pluripotent stem cells
- induced pluripotent stem cells
- high throughput
- dna methylation
- machine learning
- polycystic ovary syndrome
- transcription factor
- data analysis
- pregnant women
- copy number
- adipose tissue
- genetic diversity
- vascular endothelial growth factor
- pregnancy outcomes