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Findings on Early Identification of COVID-19 Asymptomatic Infections Published

October 09, 2021      Author:

With the evolution of the epidemic, a variety of new coronavirus mutants are emerging across the world. At the same time, the coronavirus continues to find ways to disguise itself in this process, leading to an increase in asymptomatic infections. Thus, early identification of asymptomatic infection has become essential for epidemic prevention and control.

On September 24, the collaborative research by Prof. Qu Jieming and more from the Department of Respiratory and Critical Care Medicine, Ruijin Hospital, an SJTU affiliation, was published in Cell Research, revealing for the first time the main . Based on this, the researchers identified a marker that can be realized by simple ELISA detection methods, providing a theoretical basis to identify presymptomatic cases during early or middle clinical stage, and promptly intervening in them at an earlier stage and block their progress to diagnosed patients.

The CyTOF and Olink tests in this study were completed on the mass spectrometry platform of the National Research Center for Translational Medicine (Shanghai). This research was also strongly supported by Academician Chen Saijuan of the National Research Center for Translational Medicine (Shanghai).

The co-corresponding authors of the paper are Prof. Qu Jieming from the Department of Respiratory and Critical Care Medicine, Ruijin Hospital of Shanghai Jiao Tong University; Prof. Zhu Jiang from the Shanghai Institute of Hematology of Ruijin Hospital; and Prof. Lu Hongzhou from the Shanghai Public Health Clinical Center. The co-first authors are assistant researcher Yu Shanhe of the National Research Center for Translational Medicine (Shanghai), attending physician Di Caixia of the Department of Respiratory and Critical Care Medicine, PhD student Chen Shijun of the Shanghai Institute of Hematology, and PhD student Yan Jiayang of the Department of Respiratory and Critical Care Medicine.

 

Author: Journalist Tang Wenjia from Wen Hui Daily

Source: WeChat account of School of Medicine, SJTU