Bioinformatics Analysis of the Influence of Coronavirus Infection on Hematopoietic System and Potential Intervention Drugs and Their Significance for COVID-19.
10.19746/j.cnki.issn.1009-2137.2021.03.051
- Author:
Jun-Dong ZHANG
1
;
Bo YANG
2
;
Hao-Ran CHEN
2
;
Xiao-Hua CHI
3
;
Xi-Meng CHEN
2
;
Peng ZHI
2
;
Hao-Min ZHANG
2
;
Zi-Ning WANG
2
;
Bin GUO
4
;
Yi-Xing WANG
5
;
Wan-Jun SUN
6
;
Xue-Chun LU
7
Author Information
1. Medical School of Chinese PLA, Beijing 100853,China.
2. Department of Hematology, The Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
3. Department of Pharmacy, Rocket Force General Hospital, Beijing 100088, China.
4. Department of Personnel, Shanxi Cardiovascular Hospital, Taiyuan 030024, Shanxi Province, China.
5. Department of Traditional Chinese Medicine, Shanghai East Hospital, Tongji University, Shanghai 200120, China.
6. Department of Hematology, Rocket Force General Hospital, Beijing 100088, China,E-mail: sunwanjun1974@sohu.com.
7. Medical School of Chinese PLA, Beijing 100853,China,Department of Hematology, The Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China,E-mail: luxuechun@126.com.
- Publication Type:Journal Article
- MeSH:
COVID-19;
Computational Biology;
Follistatin-Related Proteins;
Hematopoietic System;
Humans;
Pharmaceutical Preparations;
SARS-CoV-2
- From:
Journal of Experimental Hematology
2021;29(3):975-982
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To analyze and predict the effect of coronavirus infection on hematopoietic system and potential intervention drugs, and explore their significance for coronavirus disease 2019 (COVID-19).
METHODS:The gene expression omnibus (GEO) database was used to screen the whole genome expression data related with coronavirus infection. The R language package was used for differential expression analysis and KEGG/GO enrichment analysis. The core genes were screened by PPI network analysis using STRING online analysis website. Then the self-developed apparent precision therapy prediction platform (EpiMed) was used to analyze diseases, drugs and related target genes.
RESULTS:A database in accordance with the criteria was found, which was derived from SARS coronavirus. A total of 3606 differential genes were screened, including 2148 expression up-regulated genes and 1458 expression down-regulated genes. GO enrichment mainly related with viral infection, hematopoietic regulation, cell chemotaxis, platelet granule content secretion, immune activation, acute inflammation, etc. KEGG enrichment mainly related with hematopoietic function, coagulation cascade reaction, acute inflammation, immune reaction, etc. Ten core genes such as PTPRC, ICAM1, TIMP1, CXCR5, IL-1B, MYC, CR2, FSTL1, SOX1 and COL3A1 were screened by protein interaction network analysis. Ten drugs with potential intervention effects, including glucocorticoid, TNF-α inhibitor, salvia miltiorrhiza, sirolimus, licorice, red peony, famciclovir, cyclosporine A, houttuynia cordata, fluvastatin, etc. were screened by EpiMed plotform.
CONCLUSION:SARS coronavirus infection can affect the hematopoietic system by changing the expression of a series of genes. The potential intervention drugs screened on these grounds are of useful reference significance for the basic and clinical research of COVID-19.
