Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients

Basic information
Cell
136,408
Sample
20

Technology
10X Genomics
Omics
scRNA-seq
Source
PBMCs

Dataset ID
35361683
Platform
Illumina HiSeq 4000
Species
Human
Disease
HBV infection,Healthy
Age range
21 - 66
Update date
2022-03-31
Summary

Objective: A comprehensive immune landscape for HBV infection is pivotal to achieve HBV cure. Design: We performed single-cell RNA sequencing of 2 43 000 cells from 46 paired liver and blood samples of 23 individuals, including six immune tolerant, 5 immune active (IA), 3 acute recovery (AR), 3 chronic resolved and 6 HBV-free healthy controls (HCs). Flow cytometry and histological assays were applied in a second HBV cohort for validation. Results: Both IA and AR were characterised by high levels of intrahepatic exhausted CD8+ T (Tex) cells. In IA, Tex cells were mainly derived from liver-resident GZMK+ effector memory T cells and self-expansion. By contrast, peripheral CX3CR1+ effector T cells and GZMK+ effector memory T cells were the main source of Tex cells in AR. In IA but not AR, significant cell-cell interactions were observed between Tex cells and regulatory CD4+ T cells, as well as between Tex and FCGR3A+ macrophages. Such interactions were potentially mediated through human leukocyte antigen class I molecules together with their receptors CANX and LILRBs, respectively, contributing to the dysfunction of antiviral immune responses. By contrast, CX3CR1+GNLY+ central memory CD8+ T cells were concurrently expanded in both liver and blood of AR, providing a potential surrogate marker for viral resolution. In clinic, intrahepatic Tex cells were positively correlated with serum alanine aminotransferase levels and histological grading scores. Conclusion: Our study dissects the coordinated immune responses for different HBV infection phases and provides a rich resource for fully understanding immunopathogenesis and developing effective therapeutic strategies.

Overall design

To be supplemented.

Contributors

Chao Zhang†, Zemin Zhang✉️, Xianwen Ren✉️, Fu-Sheng Wang✉️

Contact

zemin@pku.edu.cn (Zemin Zhang), renxwise@pku.edu.cn (Xianwen Ren), fswang302@163.com (Fu-Sheng Wang)

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available