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A longitudinal study of COVID-19 patients using proteomics approach

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NIAID Data Ecosystem2026-03-12 收录
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https://www.omicsdi.org/dataset/pride/PXD023521
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资源简介:
SARS-CoV-2, a highly contagious and infectious virus is responsible for causing this COVID-19 pandemic, which has a substantial impact on global health and economy. The spectrum of clinical manifestations of COVID-19 ranges from mild or non-severe state to severe life-threatening condition in some group of people. Many patients are likely to undergo non-severe to severe transition during their infection period. For this study, we have collected blood samples of different time points from patients showing both non-severe to severe and severe to recovered transition. The clinical information of the patient’s condition is obtained from their medical records. We have investigated the proteome of different time points of the patient’s sample to analyse their trend in prognosis of the disease.

严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)是一种高传染性病毒,引发了新型冠状病毒肺炎(COVID-19)全球大流行,该疫情对全球公共卫生与经济均造成了深远影响。新型冠状病毒肺炎的临床表现谱跨度较大,部分人群可表现为轻症或非重症状态,乃至危及生命的重症病症。多数患者在感染期间可能出现从非重症向重症的病情转化。本研究中,我们采集了两类转归模式患者的不同时间节点血液样本:一类为非重症向重症转归者,另一类为重症向康复转归者。患者的临床病情信息均源自其医疗病历。我们对患者不同时间点样本的蛋白质组进行了检测分析,以探究该疾病的预后变化趋势。
创建时间:
2021-05-27
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