bioRxivMolecular BiologyPreprint
Cellular and Molecular Resolution of Focal Segmental Glomerulosclerosis Recurrence in Human Allografts
Lorenzo G. GalloniD, Haseeb ZubairiD, Thomas V. RousselleiD, Amol Carl ShettyiD, Shafquat AzimiD, Elissa BardhiiD, Eleonora ForteiD, Cinthia Beskow DrachenbergiD, Enver AkaliniD, Manish TalwariD, Jonathan S. BrombergiD, Daniel G. MalufiD, Valeria R. MasiD
Abstract
Primary Focal Segmental Glomerulosclerosis (FSGS) is an important cause of end-stage renal disease (ESRD). Primary FSGS recurrence rates in transplanted kidneys are high, with 25-50% in first transplants and up to 80% in second transplants, often leading to graft loss. To investigate the molecular and cellular events underlying recurrent primary FSGS (reFSGS), we performed single-nucleus RNA sequencing (snRNA-seq) on kidney transplant biopsies from patients with reFSGS and controls with normal allograft function. Our analysis revealed that podocyte loss in reFSGS is driven by metabolic and structural dysregulation rather than apoptosis. Overexpression of vascular endothelial growth factor (VEGF)-A by podocytes was observed, potentially disrupting glomerular endothelial cell growth and permeability. Parietal epithelial cells (PECs) exhibited dedifferentiation towards a podocyte-like state, potentially compensating for podocyte loss, but this was associated with increased collagen deposition and glomerular sclerosis. Ligand-receptor interactions between glomerular cells and B cells further promoted extracellular matrix deposition and fibrosis. Additionally, tubular cells demonstrated evidence of tubular sclerosis and impaired regenerative potential, accompanied by increased interactions with T cells. These findings provide novel insights into the pathogenesis of reFSGS and identify potential therapeutic targets. This study establishes a foundation for future research to further investigate cell-type-specific interventions in recurrent FSGS.
- organism: human
- assay: snRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 1
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