1.Aging weakens Th17 cell pathogenicity and ameliorates experimental autoimmune uveitis in mice.
He LI ; Lei ZHU ; Rong WANG ; Lihui XIE ; Jie REN ; Shuai MA ; Weiqi ZHANG ; Xiuxing LIU ; Zhaohao HUANG ; Binyao CHEN ; Zhaohuai LI ; Huyi FENG ; Guang-Hui LIU ; Si WANG ; Jing QU ; Wenru SU
Protein & Cell 2022;13(6):422-445
Aging-induced changes in the immune system are associated with a higher incidence of infection and vaccination failure. Lymph nodes, which filter the lymph to identify and fight infections, play a central role in this process. However, careful characterization of the impact of aging on lymph nodes and associated autoimmune diseases is lacking. We combined single-cell RNA sequencing (scRNA-seq) with flow cytometry to delineate the immune cell atlas of cervical draining lymph nodes (CDLNs) of both young and old mice with or without experimental autoimmune uveitis (EAU). We found extensive and complicated changes in the cellular constituents of CDLNs during aging. When confronted with autoimmune challenges, old mice developed milder EAU compared to young mice. Within this EAU process, we highlighted that the pathogenicity of T helper 17 cells (Th17) was dampened, as shown by reduced GM-CSF secretion in old mice. The mitigated secretion of GM-CSF contributed to alleviation of IL-23 secretion by antigen-presenting cells (APCs) and may, in turn, weaken APCs' effects on facilitating the pathogenicity of Th17 cells. Meanwhile, our study further unveiled that aging downregulated GM-CSF secretion through reducing both the transcript and protein levels of IL-23R in Th17 cells from CDLNs. Overall, aging altered immune cell responses, especially through toning down Th17 cells, counteracting EAU challenge in old mice.
Aging
;
Animals
;
Autoimmune Diseases
;
Disease Models, Animal
;
Granulocyte-Macrophage Colony-Stimulating Factor/metabolism*
;
Mice
;
Mice, Inbred C57BL
;
Th17 Cells/metabolism*
;
Uveitis/pathology*
;
Virulence
2.A human circulating immune cell landscape in aging and COVID-19.
Yingfeng ZHENG ; Xiuxing LIU ; Wenqing LE ; Lihui XIE ; He LI ; Wen WEN ; Si WANG ; Shuai MA ; Zhaohao HUANG ; Jinguo YE ; Wen SHI ; Yanxia YE ; Zunpeng LIU ; Moshi SONG ; Weiqi ZHANG ; Jing-Dong J HAN ; Juan Carlos Izpisua BELMONTE ; Chuanle XIAO ; Jing QU ; Hongyang WANG ; Guang-Hui LIU ; Wenru SU
Protein & Cell 2020;11(10):740-770
Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Adult
;
Aged
;
Aged, 80 and over
;
Aging
;
genetics
;
immunology
;
Betacoronavirus
;
CD4-Positive T-Lymphocytes
;
metabolism
;
Cell Lineage
;
Chromatin Assembly and Disassembly
;
Coronavirus Infections
;
immunology
;
Cytokine Release Syndrome
;
etiology
;
immunology
;
Cytokines
;
biosynthesis
;
genetics
;
Disease Susceptibility
;
Flow Cytometry
;
methods
;
Gene Expression Profiling
;
Gene Expression Regulation, Developmental
;
Gene Rearrangement
;
Humans
;
Immune System
;
cytology
;
growth & development
;
immunology
;
Immunocompetence
;
genetics
;
Inflammation
;
genetics
;
immunology
;
Mass Spectrometry
;
methods
;
Middle Aged
;
Pandemics
;
Pneumonia, Viral
;
immunology
;
Sequence Analysis, RNA
;
Single-Cell Analysis
;
Transcriptome
;
Young Adult