Single-cell analysis reveals cell communication triggered by macrophages associated with the reduction and exhaustion of CD8+ T cells in COVID-19

Cell Communication and Signaling

Lei He¹  Yue Zhang¹  Quan Zhang²  Yixian Fan³  Songming Li⁴  Fahu Yuan⁵ 

[1] Department of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China;Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, 430015, Wuhan, China;Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China;Department of Respiration, Hubei Provincial Hospital of Integrated Chinese & Western Medicine, No. 11, Linjiao Lake Road, Jianghan District, 430015, Wuhan, China;School of Medicine, Jianghan University, 430056, Wuhan, China;

关键词: COVID-19;    SARS-CoV-2;    Single cell RNA-sequencing;    Macrophage;    T cell;   

DOI  :  10.1186/s12964-021-00754-7

来源: Springer

【 摘 要 】

BackgroundThe coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) has become an ongoing pandemic. Understanding the respiratory immune microenvironment which is composed of multiple cell types, together with cell communication based on ligand–receptor interactions is important for developing vaccines, probing COVID-19 pathogenesis, and improving pandemic control measures.MethodsA total of 102 consecutive hospitalized patients with confirmed COVID-19 were enrolled in this study. Clinical information, routine laboratory tests, and flow cytometry analysis data with different conditions were collected and assessed for predictive value in COVID-19 patients. Next, we analyzed public single-cell RNA-sequencing (scRNA-seq) data from bronchoalveolar lavage fluid, which offers the closest available view of immune cell heterogeneity as encountered in patients with varying severity of COVID-19. A weighting algorithm was used to calculate ligand–receptor interactions, revealing the communication potentially associated with outcomes across cell types. Finally, serum cytokines including IL6, IL1β, IL10, CXCL10, TNFα, GALECTIN-1, and IGF1 derived from patients were measured.ResultsOf the 102 COVID-19 patients, 42 cases (41.2%) were categorized as severe. Multivariate logistic regression analysis demonstrated that AST, D-dimer, BUN, and WBC were considered as independent risk factors for the severity of COVID-19. T cell numbers including total T cells, CD4+ and CD8+ T cells in the severe disease group were significantly lower than those in the moderate disease group. The risk model containing the above mentioned inflammatory damage parameters, and the counts of T cells, with AUROCs ranged from 0.78 to 0.87. To investigate the molecular mechanism at the cellular level, we analyzed the published scRNA-seq data and found that macrophages displayed specific functional diversity after SARS-Cov-2 infection, and the metabolic pathway activities in the identified macrophage subtypes were influenced by hypoxia status. Importantly, we described ligand–receptor interactions that are related to COVID-19 serverity involving macrophages and T cell subsets by communication analysis.ConclusionsOur study showed that macrophages driving ligand–receptor crosstalk contributed to the reduction and exhaustion of CD8+ T cells. The identified crucial cytokine panel, including IL6, IL1β, IL10, CXCL10, IGF1, and GALECTIN-1, may offer the selective targets to improve the efficacy of COVID-19 therapy.Trial registration: This is a retrospective observational study without a trial registration number.8NBAGhie3qFBk1N_iCrR49Video Abstract

【 授权许可】

CC BY