Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury

Mao，Yiheng1,4; Chen，Ying2,5; Li，Yuan4; Ma，Longda3; Wang，Xi4; Wang，Qi2,5; He，An4; Liu，Xi2,5; Dong，Tianyi2,5; Gao，Weina4; Xu，Yanfen4; Liu，Liang3; Ren，Liang3; Liu，Qian3; Zhou，Peng6; Hu，Ben2; Zhou，Yiwu3; Tian，Ruijun4; Shi，Zheng Li2

2024-02-27

10.1016/j.celrep.2024.113689

Cell Reports   影响因子和分区

2211-1247

As a primary target of severe acute respiratory syndrome coronavirus 2, lung exhibits heterogeneous histopathological changes following infection. However, comprehensive insight into their protein basis with spatial resolution remains deficient, which hinders further understanding of coronavirus disease 2019 (COVID-19)-related pulmonary injury. Here, we generate a region-resolved proteomic atlas of hallmark pathological pulmonary structures by integrating histological examination, laser microdissection, and ultrasensitive proteomics. Over 10,000 proteins are quantified across 71 post-mortem specimens. We identify a spectrum of pathway dysregulations in alveolar epithelium, bronchial epithelium, and blood vessels compared with non-COVID-19 controls, providing evidence for transitional-state pneumocyte hyperplasia. Additionally, our data reveal the region-specific enrichment of functional markers in bronchiole mucus plugs, pulmonary fibrosis, airspace inflammation, and alveolar type 2 cells, uncovering their distinctive features. Furthermore, we detect increased protein expression associated with viral entry and inflammatory response across multiple regions, suggesting potential therapeutic targets. Collectively, this study provides a distinct perspective for deciphering COVID-19-caused pulmonary dysfunction by spatial proteomics.

CP: Microbiology

SCI

英语

其他

2-s2.0-85182905053

Scopus

1.School of Chemistry and Chemical Engineering,Harbin Institute of Technology,Harbin,150001,China
2.State Key Laboratory of Virology,Wuhan Institute of Virology,Chinese Academy of Sciences,Wuhan,430030,China
3.Department of Forensic Medicine,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,430030,China
4.Department of Chemistry and Research Center for Chemical Biology and Omics Analysis,College of Science,Southern University of Science and Technology,Shenzhen,518055,China
5.University of Chinese Academy of Sciences,Beijing,China
6.Guangzhou Laboratory,Guangzhou International Bio Island,Guangzhou,510005,China

Mao，Yiheng,Chen，Ying,Li，Yuan,et al. Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury[J]. Cell Reports,2024,43(2).

Mao，Yiheng.,Chen，Ying.,Li，Yuan.,Ma，Longda.,Wang，Xi.,...&Shi，Zheng Li.(2024).Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury.Cell Reports,43(2).

Mao，Yiheng,et al."Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury".Cell Reports 43.2(2024).