Deciphering Intercellular Communication of the Immune Landscape within Autosomal Dominant Polycystic Kidney Disease Microenvironment at Single-Cell Resolution

以单细胞分辨率解析常染色体显性多囊肾病微环境中免疫图谱的细胞间通讯

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Abstract

INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disorder that often leads to end-stage renal disease, with disease progression deeply influenced by the renal microenvironment. This study aims to unravel the critical cellular types and their intricate interactions within the ADPKD microenvironment. METHODS: Leveraging single-cell transcriptome data from seven ADPKD and three healthy human kidney samples, we systematically dissected the cellular landscape of the ADPKD microenvironment. Our approach included CellChat for cell-cell communication analysis, VISION for pathway enrichment analysis, pySCENIC for regulon activity calculation, and Monocle V3 for pseudotime trajectory construction. RESULTS: We identified nine major cell lineages, with a notable increase of mononuclear phagocytes (MNPs), T cells, and fibroblasts in the ADPKD microenvironment. These cells collectively orchestrated a distinctive microenvironment, marked by complex intercellular networks. Notably, a specific subset of macrophages exhibited an "M2-like" phenotype, which was driven by IL-10 signaling from M1-like macrophages and contributed to cyst cell proliferation. Immunosuppression was predominantly mediated by CD4+ T cells, activated by macrophages through immune checkpoint pathways, such as PDL1 signaling. The fibrotic expansion was a cumulative effect of fibroblast activation and proliferation, modulated by macrophages and cyst-lining epithelial cells. CONCLUSION: This comprehensive investigation provides valuable insights into the diverse landscapes of the ADPKD microenvironment at single-cell resolution, emphasizing MNPs, T cells, and fibroblasts. The study unveils complex interactions among these cell types, shedding light on an understanding of the immunological aspect of ADPKD and proposing potential therapeutic targets.

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