Dataset Information

COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

ABSTRACT: A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19.

SUBMITTER: Ren X

PROVIDER: S-EPMC7857060 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

Ren Xianwen X Wen Wen W Fan Xiaoying X Hou Wenhong W Su Bin B Cai Pengfei P Li Jiesheng J Liu Yang Y Tang Fei F Zhang Fan F Yang Yu Y He Jiangping J Ma Wenji W He Jingjing J Wang Pingping P Cao Qiqi Q Chen Fangjin F Chen Yuqing Y Cheng Xuelian X Deng Guohong G Deng Xilong X Ding Wenyu W Feng Yingmei Y Gan Rui R Guo Chuang C Guo Weiqiang W He Shuai S Jiang Chen C Liang Juanran J Li Yi-Min YM Lin Jun J Ling Yun Y Liu Haofei H Liu Jianwei J Liu Nianping N Liu Shu-Qiang SQ Luo Meng M Ma Qiang Q Song Qibing Q Sun Wujianan W Wang GaoXiang G Wang Feng F Wang Ying Y Wen Xiaofeng X Wu Qian Q Xu Gang G Xie Xiaowei X Xiong Xinxin X Xing Xudong X Xu Hao H Yin Chonghai C Yu Dongdong D Yu Kezhuo K Yuan Jin J Zhang Biao B Zhang Peipei P Zhang Tong T Zhao Jincun J Zhao Peidong P Zhou Jianfeng J Zhou Wei W Zhong Sujuan S Zhong Xiaosong X Zhang Shuye S Zhu Lin L Zhu Ping P Zou Bin B Zou Jiahua J Zuo Zengtao Z Bai Fan F Huang Xi X Zhou Penghui P Jiang Qinghua Q Huang Zhiwei Z Bei Jin-Xin JX Wei Lai L Bian Xiu-Wu XW Liu Xindong X Cheng Tao T Li Xiangpan X Zhao Pingsen P Wang Fu-Sheng FS Wang Hongyang H Su Bing B Zhang Zheng Z Qu Kun K Wang Xiaoqun X Chen Jiekai J Jin Ronghua R Zhang Zemin Z

Cell 20210203 7

A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical fe ...[more]

PMID: 33657410

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Project description:The COVID-19 pandemic and related restrictions can impact mental health. To quantify the mental health burden of COVID-19 pandemic, we conducted a systematic review and meta-analysis, searching World Health Organization COVID-19/PsycInfo/PubMed databases (09/29/2020), including observational studies reporting on mental health outcomes in any population affected by COVID-19. Primary outcomes were the prevalence of anxiety, depression, stress, sleep problems, posttraumatic symptoms. Sensitivity analyses were conducted on severe mental health problems, in high-quality studies, and in representative samples. Subgroup analyses were conducted stratified by age, sex, country income level, and COVID-19 infection status. One-hundred-seventy-three studies from February to July 2020 were included (n = 502,261, median sample = 948, age = 34.4 years, females = 63%). Ninety-one percent were cross-sectional studies, and 18.5%/57.2% were of high/moderate quality. The highest prevalence emerged for posttraumatic symptoms in COVID-19 infected people (94%), followed by behavioral problems in those with prior mental disorders (77%), fear in healthcare workers (71%), anxiety in caregivers/family members of people with COVID-19 (42%), general health/social contact/passive coping style in the general population (38%), depression in those with prior somatic disorders (37%), and fear in other-than-healthcare workers (29%). Females and people with COVID-19 infection had higher rates of almost all outcomes; college students/young adults of anxiety, depression, sleep problems, suicidal ideation; adults of fear and posttraumatic symptoms. Anxiety, depression, and posttraumatic symptoms were more prevalent in low-/middle-income countries, sleep problems in high-income countries. The COVID-19 pandemic adversely impacts mental health in a unique manner across population subgroups. Our results inform tailored preventive strategies and interventions to mitigate current, future, and transgenerational adverse mental health of the COVID-19 pandemic.

Dataset Information

COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

Publications

COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas.

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