Single-Cell RNA Sequencing Reveals the Heterogeneity of Infiltrating Immune Cell Profiles in the Hepatic Cystic Echinococcosis Microenvironment.

Human cystic echinococcosis, caused by the larval stage of Echinococcus granulosus sensu lato, has been reported a near-cosmopolitan zoonotic disease. Various infiltrating immune cells gather around the lesion and produce a lesion microenvironment; however, cellular composition and heterogeneity in hepatic cystic echinococcosis lesion microenvironments are incompletely understood. Here, 81,865 immune cells isolated from peripheral blood, perilesion liver tissue, and adjacent normal liver tissue from four cystic echinococcosis patients were profiled using single-cell RNA sequencing. We identified 23 discrete cell populations and found distinct differences in infiltrating immune cells between tissue environments. Despite the significant similarity between perilesion and adjacent normal liver tissue-resident immune cells, the cellular proportions of type 2 innate lymphoid cells (ILC2s) and plasmacytoid dendritic cells (pDCs) were higher in perilesion liver tissue. Interestingly, the immunosuppressive gene NFKBIA was upregulated in these cells. Seven subsets of CD4+ T cell populations were found, and there were more regulatory-CD4+ T cells (Treg-CD4+) and Th2-CD4+ T cells in perilesion tissue than in adjacent normal tissue. There was close contact between CD4+ T cells and ILC2s and pDCs, which caused upregulation of genes related to positive immune activity in adjacent normal liver tissue. However, expression of genes related to immunosuppression, especially the immune inhibitory checkpoint gene NKG2A/HLA-E, was obviously higher in perilesion tissue, suggesting that cellular interaction resulted in an inhibitory microenvironment in the cystic echinococcosis (CE) lesion. This work offers new insights into the transcriptional heterogeneity of infiltrating immune cells in hepatic cystic echinococcosis lesion microenvironments at a single-cell level and provides potential target signatures for diagnosis and immunotherapies.