MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.celrep.2024.113689

Медицинская библиотека · Cell reports · 2024

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

Mao Yiheng, Chen Ying, Li Yuan, Ma Longda, Wang Xi, Wang Qi, He An, Liu Xi, Dong Tianyi, Gao Weina, Xu Yanfen, Liu Liang, Ren Liang, Liu Qian, Zhou Peng, Hu Ben, Zhou Yiwu, Tian Ruijun, Shi Zheng-Li

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Mao Yiheng, Chen Ying, Li Yuan, Ma Longda, Wang Xi, Wang Qi, He An, Liu Xi, Dong Tianyi, Gao Weina, Xu Yanfen, Liu Liang, Ren Liang, Liu Qian, Zhou Peng, Hu Ben, Zhou Yiwu, Tian Ruijun, Shi Zheng-Li. Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury.. Cell reports. 2024. DOI: 10.1016/j.celrep.2024.113689.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.