Transcriptomics

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Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with kidney damage


ABSTRACT: Despite the recent advances in our understanding of the role of lipids, metabolites and related enzymes in mediating kidney injury, there is limited integrated multi-omics data identifying potential metabolic pathways driving human kidney damage (KD). The limited availability of kidney biopsies from living donors with kidney disease has remained a major constraint. Here, we validated the use of deceased transplant donor kidneys as a good model to study kidney disease in humans and characterized these kidneys using imaging and multi-omics approaches. We demonstrated that changes in kidney injury and inflammatory markers following KD were consistent with the changes in pre-donation renal function in donors. Neighborhood and correlation analyses of imaging mass cytometry data showed that a subset of renal cells (e.g., fibroblasts) are associated with the expression profile of renal immune cells, potentially linking these cells to kidney inflammation. Integrated transcriptomic and metabolomic analysis of human kidneys showed that renal arachidonic acid metabolism and seven other metabolic pathways were upregulated following KD. To validate the therapeutic potential of targeting the arachidonic acid pathway, we demonstrated increased levels of cytosolic phospholipase A2 (cPLA2) protein and related lipid mediators (e.g., prostaglandin E2) in the injured kidneys. The inhibition of cPLA2 reduced injury and inflammation in human renal proximal tubular epithelial cells (RPTEC) in vitro. This study identifies cell types and metabolic pathways that may be critical for controlling inflammation associated with KD in humans.

ORGANISM(S): Homo sapiens

PROVIDER: GSE217427 | GEO | 2022/11/10

REPOSITORIES: GEO

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