Immunological characterization of peritoneal exudate cells in liver cirrhosis patients
Kaji, S.; Sasaki, I.; Kunimoto, S.; Wakaki-Nishiyama, N.; Tosuji, E.; Kurara, A.; Kato, T.; Mutsukawa, C.; Okuzaki, D.; Okamoto, C.; Yamano, Y.; Shimizu, R.; Maeshima, S.; Ida, Y.; Yamashita, Y.; Hashimoto, T.; Iwabuchi, S.; Hashimoto, S.; Saitoh, S.-I.; Araki, S.-i.; Kitano, M.; Kaisho, T.
Show abstract
BACKGROUND AND AIMSLiver cirrhosis (LC) is the end stage of liver fibrosis caused by various chronic liver diseases. Patients with LC often develop ascites containing peritoneal exudate cells (PECs). However, those cells have not been fully immunologically characterized. In this study, we clarify immune cell profiles of PECs from patients with LC. APPROACH AND RESULTSPECs were collected from patients with LC or patients receiving continuous ambulatory peritoneal dialysis (CAPD) as a non-cirrhotic control and subjected to single-cell RNA sequencing (scRNA-seq), bulk RNA sequencing (RNA-seq) and flowcytometry analyses. Analysis of scRNA-seq revealed that dendritic cells (DCs) and macrophages were major populations in CAPD patient-derived PECs, while those cells were decreased and T cells were most abundant in LC patient-derived PECs. Notably, FCGR3A-expressing macrophages were dominant over DCs and GATA6-expressing macrophages in LC patient-derived PECs. Bulk RNA-seq analysis further clarified expression of a set of genes was up- or down-regulated along with LC severity. Especially, expression of T cell signature genes was featured by its increase at Child-Pugh class B, but decrease at Child-Pugh class C. Flowcytometry analysis showed increase of T cells, decrease of DCs and macrophages, and increased expression of CD16 and CD163 in CD1cintCD14high cells corresponding to FCGR3A-expressing macrophages in LC patient-derived PECs. CONCLUSIONSIn LC patient-derived PECs, myeloid and T cell populations and their gene expression profiles were fluctuated with severity. Our findings should contribute to further development of diagnosis or therapeutic maneuver for LC.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- CD8+ tissue-resident memory T cells triggered the erosion of oral lichen planus by the cytokine network 95%
- Prdm1 Positively Regulates Liver Group 1 ILCs Cancer Immune Surveillance and Preserves Functional Heterogeneity 94%
- Exploratory mass cytometry analysis reveals immunophenotypes of cancer treatment-related pneumonitis 94%
Similar papers in this journal
- Profiling tumor immune microenvironment of non-small cell lung cancer using multiplex immunofluorescence 94%
- Mass cytometry identifies characteristic immune cell subsets in bronchoalveolar lavage fluid from interstitial lung diseases 93%
- Neutrophil-fibroblast crosstalk drives immunofibrosis in Crohn’s disease through IFNα pathway 93%
Similar papers in this journal
- Endothelial dysfunction determines severe COVID-19 in combination with dysregulated lymphocyte responses and cytokine networks 93%
- SARS-CoV-2-Triggered Mast Cell Rapid Degranulation Induces Alveolar Epithelial Inflammation and Lung Injury 92%
- Identification and validation of heterotypic cell-in-cell structure as an adverse prognostic predictor for young patients of resectable pancreatic ductal adenocarcinoma 90%
Similar papers in this journal
- Survey of extracellular communication of systemic and organ-specific inflammatory responses through cell free messenger RNA profiling in mice 91%
- Intra-tumor heterogeneity of Diffuse Large B-cell Lymphoma involves the induction of diversified stroma-tumor interfaces 90%
- Discovery of therapeutic agents targeting PKLR for NAFLD using drug repositioning 90%
Similar papers in this journal
- Single-Cell Mass Cytometry on Peripheral Blood Identifies Immune Cell Subsets Associated with Primary Biliary Cholangitis 94%
- Loss of Y in regulatory T lymphocytes in the tumor micro-environment of primary colorectal cancers and liver metastases 92%
- Latent inter-organ mechanism of idiopathic pulmonary fibrosis unveiled by a generative computational approach 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.