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

Yiheng Mao(Harbin University of Science and Technology), Ying Chen(Chinese Academy of Sciences), Yuan Li(Southern University of Science and Technology), Longda Ma(Huazhong University of Science and Technology), Xi Wang(Southern University of Science and Technology), Qi Wang(Chinese Academy of Sciences), An He(Southern University of Science and Technology), Xi Liu(Chinese Academy of Sciences), Tianyi Dong(Chinese Academy of Sciences), Weina Gao(Southern University of Science and Technology), Yanfen Xu(Southern University of Science and Technology), Liang Liu(Huazhong University of Science and Technology), Liang Ren(Huazhong University of Science and Technology), Qian Liu(Huazhong University of Science and Technology), Peng Zhou(Guangzhou Experimental Station), Ben Hu(Chinese Academy of Sciences), Yiwu Zhou(Huazhong University of Science and Technology), Ruijun Tian(Southern University of Science and Technology), Zheng‐Li Shi(Chinese Academy of Sciences)
Cell Reports
January 21, 2024
Cited by 20Open Access
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Abstract

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.


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