About: Cytokine biomarkers of COVID-19

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Cytokine biomarkers of COVID-19
Creator	Zhang, Yong Chen, Juan Deng, Hai-Jun Hu, Jie-Li Huang, Ai-Long Liao, Pu Liu, Bei-Zhong Long, Quan-Xin Mo, Zhan Qiu, Jing-Fu Ren, Ji-Hua Tang, Ni Tang, Xiao-Jun Xu, Yin-Yin
Source	MedRxiv
abstract	We used a new strategy to screen cytokines associated with SARS-CoV-2 infection. Cytokines that can classify populations in different states of SARS-CoV-2 infection were first screened in cross-sectional serum samples from 184 subjects by 2 statistical analyses. The resultant cytokines were then analyzed for their interrelationships and fluctuating features in sequential samples from 38 COVID-19 patients. Three cytokines, M-CSF, IL-8 and SCF, which were clustered into 3 different correlation groups and had relatively small fluctuations during SARS-CoV-2 infection, were selected for the construction of a multiclass classification model. This model discriminated healthy individuals and asymptomatic and nonsevere patients with accuracy of 77.4% but was not successful in classifying severe patients. Further searching led to a single cytokine, hepatocyte growth factor (HGF), which classified severe from nonsevere COVID-19 patients with a sensitivity of 84.6% and a specificity of 97.9% under a cutoff value of 1128 pg/ml. The level of this cytokine did not increase in nonsevere patients but was significantly elevated in severe patients. Considering its potent antiinflammatory function, we suggest that HGF might be a new candidate therapy for critical COVID-19. In addition, our new strategy provides not only a rational and effective way to focus on certain cytokine biomarkers for infectious diseases but also a new opportunity to probe the modulation of cytokines in the immune response.
has issue date	2020-06-03(xsd:dateTime)
bibo:doi	10.1101/2020.05.31.20118315
has license	medrxiv
sha1sum (hex)	aed424e6745a1e9aebaaa081a31c9ba7fe25dc8f
schema:url	https://doi.org/10.1101/2020.05.31.20118315
resource representing a document's title	Cytokine biomarkers of COVID-19
resource representing a document's body	covid:aed424e6745a1e9aebaaa081a31c9ba7fe25dc8f#body_text
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