About: Urine Proteome of COVID-19 Patients

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Urine Proteome of COVID-19 Patients
Creator	Xu, Ping Bai, Changqing Liu, Huiying Zhu, Li Wang, Hengliang Chang, Lei Chen, Peiru Ding, Baoqing Li, Naikang Li, Yanchang Li, Zhaodi Wang, Yihao Zhao, Yinghua
Source	MedRxiv
abstract	The atypical pneumonia (COVID-19) caused by SARS-CoV-2 is an ongoing pandemic and a serious threat to global public health. The COVID-19 patients with severe symptoms account for a majority of mortality of this disease. However, early detection and effective prediction of patients with mild to severe symptoms remains challenging. In this study, we performed proteomic profiling of urine samples from 32 healthy control individuals and 6 COVID-19 positive patients (3 mild and 3 severe). We found that urine proteome samples from the mild and severe COVID-19 patients with comorbidities can be clearly differentiated from healthy proteome samples based on the clustering analysis. Multiple pathways have been compromised after the COVID-19 infection, including the dysregulation of immune response, complement activation, platelet degranulation, lipoprotein metabolic process and response to hypoxia. We further validated our finding by directly comparing the same patients' urine proteome after recovery. This study demonstrates the COVID-19 pathophysiology related molecular alterations could be detected in the urine and the potential application of urinary proteome in auxiliary diagnosis, severity determination and therapy development of COVID-19.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.1101/2020.05.02.20088666
has license	medrxiv
sha1sum (hex)	829fa4ee7559935bc527f7d3d430ee3689a8c8b3
schema:url	https://doi.org/10.1101/2020.05.02.20088666
resource representing a document's title	Urine Proteome of COVID-19 Patients
resource representing a document's body	covid:829fa4ee7559935bc527f7d3d430ee3689a8c8b3#body_text
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