Mechanism and Drug Prediction of SARS-CoV-2 Induced Acute Lung Injury

Hongfei Chen<sup>1</sup>; Peng Zhi<sup>2,3</sup>; Haomin Zhang<sup>2</sup>; Yixing Wang<sup>4</sup>; Haiying Wang<sup>5</sup>; Haoran Chen<sup>3</sup>; Ximen Chen<sup>2</sup>; Jundong Zhang<sup>2</sup>; Zhuoyang Li<sup>4</sup>; Geliang Liu<sup>4</sup>; Bo Yang<sup>2</sup>; Yunlong Song<sup>6</sup>; Xuechun Lu<sup>2</sup>

Research Article

Mechanism and Drug Prediction of SARS-CoV-2 Induced Acute Lung Injury

Hongfei Chen¹

, Peng Zhi^2,3

, Haomin Zhang²

, Yixing Wang⁴

, Haiying Wang⁵

, Haoran Chen³

, Ximen Chen²

, Jundong Zhang²

, Zhuoyang Li⁴

, Geliang Liu⁴

, Bo Yang²

, Yunlong Song⁶

, Xuechun Lu²

1 People\\\\\\\'s Liberation Army Medical College, Beijing, 100853, P.R. China
2 Department of Hematology, Second Medical Center, General Hospital of the People\\\\\\\'s Liberation Army, National Center for Clinical Research of Geriatric Diseases, Beijing, 100853, P.R. China
3 Management School of Shanxi Medical University, Taiyuan Shanxi, 030002, P.R. China
4 Department of Traditional Chinese Medicine, Dongfang Hospital Affiliated to Tongji University, Shanghai, 200120, P.R. China
5 Department of Stomatology, Shenzhen Hospital of Traditional Chinese Medicine, Shenzhen, 518034, P.R. China
6 Pharmacy Department, Chinese people\\\\\\\'s liberation Army Characteristic Medical center, Beijing, 100088, P.R. China

Author

Correspondence author
International Journal of Molecular Medical Science, 2020, Vol. 10, No. 5
Received: 21 Apr., 2020 Accepted: 29 Apr., 2020 Published: 29 Apr., 2020

This article was first published in Genomics and Applied Biology in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The purpose of this study was to explore the mechanism of acute lung injury following SARS-COV-2 infection and to predict potential theutic agents, differential analysis, enrichment analysis and protein interaction analysis of the whole genome expression profile of SARS-COV-2 infection from gene expression database (GEO) using R language. Then use EpiIMed to predict potential therapeutic drugs. It was found that the whole genome expression profile of SARS-COV-2 infection was complicated. Including the effects on MAPK, IL17, NF KB and other signal pathways, at the same time, IFITM1, HLA-F, C3, IRF9, STAT1, IL6, MX1, ISG15, IRF7, IFIT1 were screened out as the core genes leading to the regulation of acute lung injury. EpiMed platform predicts that cidofovir, famciclovir and paeony may be effective in lung injury caused by SARS-COV-2 infection. Our research is helpful to explore the mechanism of acute lung injury after SARS-COV-2 infection, to find potential therapeutic drugs, and to provide theoretical basis for the treatment of clinical patients and the optimization of diagnosis and treatment programs.

Keywords

ALI; SARS-COV-2; Bioinformatics; Gene expression profile; EpiMed

(The advance publishing of the abstract of this manuscript does not mean final published, the end result whether or not published will depend on the comments of peer reviewers and decision of our editorial board.)

The complete article is available as a Provisional PDF if requested. The fully formatted PDF and HTML versions are in production.

International Journal of Molecular Medical Science

• Volume 10

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