Abstract

Background

C3 glomerulopathy (C3G) is a rare but clinically significant glomerulopathy. However, little is known about its transcriptomic profile. We investigated the substructure-specific gene expression profile of C3G using the recently introduced spatial transcriptomics technology.

Methods

We performed spatial transcriptomic profiling using GeoMx Digital Spatial Profiler with formalin-fixed paraffin-embedded kidney biopsy specimens of three C3G cases and seven controls from donor kidney biopsy. Additionally, 41 samples of other glomerulonephritis, including focal segmental glomerulosclerosis, membranous nephropathy, and minimal change disease, were included as disease controls. We identified differentially expressed genes (DEGs) specific to C3G, followed by in vitro validation analysis of consistently upregulated DEGs in human glomerular endothelial cells through a co-culture with complement-stimulated macrophages.

Results

We found 229 and 157 highly expressed DEGs in the glomeruli of C3G compared to those of donor and disease controls, respectively, including POSTN, COL1A2, and IFI44L. Protease binding, structural molecule activity, and extracellular matrix structural constituent were among the top enriched gene ontology terms in the glomeruli of C3G. Specifically, genes related to the extracellular matrix and interferon activity were the most upregulated, with network analysis suggesting possible interactions between complement C3 and the extracellular matrix through CD11c. The in vitro experimental validation using iC3b-stimulated CD11c + macrophages supported these findings, inducing elevated expression of fibrosis markers and extracellular matrix components in glomerular endothelial cells.

Conclusions

Significant disease-specific transcriptomic alterations in C3G, including upregulation of genes related to the extracellular matrix, provide potential insights into the pathophysiology.

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Author notes

Jung Hun Koh, Minji Kang and Sehoon Park Co-first authors

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary data

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