Identification of Monocytes Associated with Severe COVID-19 in the PBMCs of Severely Infected Patients Through Single-Cell Transcriptome Sequencing

Yan Zhang , Shuting Wang , He Xia , Jing Guo , Kangxin He , Chenjie Huang , Rui Luo , Yanfei Chen , Kaijin Xu , Hainv Gao , Jifang Sheng , Lanjuan Li

Engineering ›› 2022, Vol. 17 ›› Issue (10) : 161 -169.

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Engineering ›› 2022, Vol. 17 ›› Issue (10) : 161 -169. DOI: 10.1016/j.eng.2021.05.009
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Identification of Monocytes Associated with Severe COVID-19 in the PBMCs of Severely Infected Patients Through Single-Cell Transcriptome Sequencing

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Abstract

Understanding the immunological characteristics of monocytes—including the characteristics associated with fibrosis—in severe coronavirus disease 2019 (COVID-19) is crucial for understanding the pathogenic mechanism of the disease and preventing disease severity. In this study, we performed single-cell transcriptomic sequencing of peripheral blood samples collected from six healthy controls and 14 COVID-19 samples including severe, moderate, and convalescent samples from three severely/critically ill and four moderately ill patients. We found that the monocytes were strongly remodeled in the severely/critically ill patients with COVID-19, with an increased proportion of monocytes and seriously reduced diversity. In addition, we discovered two novel severe-disease-specific monocyte subsets: Mono 0 and Mono 5. These subsets expressed amphiregulin (AREG), epiregulin (EREG), and cytokine interleukin-18 (IL-18) gene, exhibited an enriched erythroblastic leukemia viral oncogene homolog (ErbB) signaling pathway, and appeared to exhibit pro-fibrogenic and pro-inflammation characteristics. We also found metabolic changes in Mono 0 and Mono 5, including increased glycolysis/gluconeogenesis and an increased hypoxia inducible factor-1 (HIF-1) signaling pathway. Notably, one pre-severe sample displayed a monocyte atlas similar to that of the severe/critical samples. In conclusion, our study discovered two novel severe-disease-specific monocyte subsets as potential predictors and therapeutic targets for severe COVID-19. Overall, this study provides potential predictors for severe disease and therapeutic targets for COVID-19 and thus provides a resource for further studies on COVID-19.

Keywords

COVID-19 / Severe infection / Critically ill / Monocytes / Fibrosis

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Yan Zhang, Shuting Wang, He Xia, Jing Guo, Kangxin He, Chenjie Huang, Rui Luo, Yanfei Chen, Kaijin Xu, Hainv Gao, Jifang Sheng, Lanjuan Li. Identification of Monocytes Associated with Severe COVID-19 in the PBMCs of Severely Infected Patients Through Single-Cell Transcriptome Sequencing. Engineering, 2022, 17(10): 161-169 DOI:10.1016/j.eng.2021.05.009

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