Selected article for: "International license and susceptible population"

Author: Xiang He; Lei Zhang; Qin Ran; Anying Xiong; Junyi Wang; Dehong Wu; Feng Chen; Guoping Li
Title: Integrative Bioinformatics Analysis Provides Insight into the Molecular Mechanisms of 2019-nCoV
  • Document date: 2020_2_5
  • ID: mjhez5im_3
    Snippet: Among the 2019-nCoV infected patients, there are many patients with underlying diseases, such as chronic respiratory disease and cardiovascular disease. Therefore, it is important to evaluate whether patients with underlying diseases are more susceptible to coronavirus infection than healthy population. Firstly, we analyzed the expression of ACE2 in lung in the different populations. The expression level of ACE2 was not significantly altered betw.....
    Document: Among the 2019-nCoV infected patients, there are many patients with underlying diseases, such as chronic respiratory disease and cardiovascular disease. Therefore, it is important to evaluate whether patients with underlying diseases are more susceptible to coronavirus infection than healthy population. Firstly, we analyzed the expression of ACE2 in lung in the different populations. The expression level of ACE2 was not significantly altered between healthy populations and patients with chronic respiratory diseases including chronic obstructive pulmonary diseases (COPD) and asthma ( Figure 1A , 1B, and 1C, p-value > 0.05). It indicated that 2019-nCoV . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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