Single-cell RNA-sequencing reveals distinct immune cell subsets and signaling pathways in IgA nephropathy.
Single-cell RNA-sequencing reveals distinct immune cell subsets and signaling pathways in IgA nephropathy.
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单细胞 RNA 测序揭示 IgA 肾病中独特的免疫细胞亚群和信号通路
DOI:
10.1186/s13578-021-00706-1
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发表时间:
2021-12-11
影响因子:
7.5
通讯作者:
Yang Q
中科院分区:
文献类型:
--
作者:
Zeng H;Wang L;Li J;Luo S;Han Q;Su F;Wei J;Wei X;Wu J;Li B;Huang J;Tang P;Cao C;Zhou Y;Yang Q
IgA nephropathy (IgAN) is the most common primary glomerulonephritis globally. Increasing evidence suggests the importance of host immunity in the development of IgAN, but its dynamics during the early stage of IgAN are still largely unclear. Here we successfully resolved the early transcriptomic changes in immune cells of IgAN by conducting single-cell RNA-sequencing (scRNA-seq) with peripheral blood mononuclear cells. The differentially expressed genes (DEGs) between control and IgAN were predominantly enriched in NK cell-mediated cytotoxicity and cell killing pathways. Interestingly, we discovered that the number and cytotoxicity of NK cells are significantly reduced in IgAN patients, where both the number and marker genes of NK cells were negatively associated with the clinical parameters, including the levels of urine protein creatinine ratio (UPCR), serum galactose-deficient IgA1 and IgA. A distinctive B cell subset, which had suppressed NFκB signaling was predominantly in IgAN and positively associated with disease progression. Moreover, the DEGs of B cells were enriched in different viral infection pathways. Classical monocytes also significantly changed in IgAN and a monocyte subset expressing interferon-induced genes was positively associated with the clinical severity of IgAN. Finally, we identified vast dynamics in intercellular communications in IgAN. We dissected the immune landscape of IgAN at the single-cell resolution, which provides new insights in developing novel biomarkers and immunotherapy against glomerulonephritis. The online version contains supplementary material available at 10.1186/s13578-021-00706-1.
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影响因子:
15.9
作者:
CZERKINSKY, C;KOOPMAN, WJ;MESTECKY, J
通讯作者:
MESTECKY, J
影响因子:
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Feinberg, Mark W.;Wara, Akm Khyrul;Jain, Mukesh K.
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Goldman, Daniel H.
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3.4
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2.3
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Guo Y;Gao W;Wang D;Liu W;Liu Z
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