Adhesion G Protein-Coupled Receptor Gpr126 ( Adgrg6 ) Expression Profiling in Diseased Mouse, Rat, and Human Kidneys.
Peter KöstersSalvador Cazorla-VázquezRené KrügerChristoph DanielEva VonbrunnKerstin AmannFelix B EngelPublished in: Cells (2024)
Uncovering the function of understudied G protein-coupled receptors (GPCRs) provides a wealth of untapped therapeutic potential. The poorly understood adhesion GPCR Gpr126 ( Adgrg6 ) is widely expressed in developing kidneys. In adulthood, Gpr126 expression is enriched in parietal epithelial cells (PECs) and epithelial cells of the collecting duct and urothelium. Whether Gpr126 plays a role in kidney disease remains unclear. Here, we characterized Gpr126 expression in diseased kidneys in mice, rats, and humans. RT-PCR data show that Gpr126 expression is altered in kidney disease. A quantitative RNAscope ® analysis utilizing cell type-specific markers revealed that Gpr126 expression upon tubular damage is mainly increased in cell types expressing Gpr126 under healthy conditions as well as in cells of the distal and proximal tubules. Upon glomerular damage, an increase was mainly detected in PECs. Notably, Gpr126 expression was upregulated in an ischemia/reperfusion model within hours, while upregulation in a glomerular damage model was only detected after weeks. An analysis of kidney microarray data from patients with lupus nephritis, IgA nephropathy, focal segmental glomerulosclerosis (FSGS), hypertension, and diabetes as well as single-cell RNA-seq data from kidneys of patients with acute kidney injury and chronic kidney disease indicates that GPR126 expression is also altered in human kidney disease. In patients with FSGS, an RNAscope ® analysis showed that GPR126 mRNA is upregulated in PECs belonging to FSGS lesions and proximal tubules. Collectively, we provide detailed insights into Gpr126 expression in kidney disease, indicating that GPR126 is a potential therapeutic target.
Keyphrases
- poor prognosis
- fatty acid
- single cell
- rna seq
- chronic kidney disease
- acute kidney injury
- oxidative stress
- endothelial cells
- long non coding rna
- cardiac surgery
- type diabetes
- electronic health record
- depressive symptoms
- gene expression
- mesenchymal stem cells
- stem cells
- machine learning
- escherichia coli
- high throughput
- signaling pathway
- weight loss
- insulin resistance
- high resolution
- skeletal muscle
- big data
- working memory
- staphylococcus aureus
- artificial intelligence
- preterm birth
- human health
- deep learning