Back

Host metabolic reprogramming in response to SARS-Cov-2 infection

Moolamalla, S. T. R.; Chauhan, R.; Priyakumar, U. D.; Vinod, P. K.

2020-08-05 bioinformatics
10.1101/2020.08.02.232645 bioRxiv
Show abstract

Understanding the pathogenesis of SARS-CoV-2 is important for developing effective treatment strategies. Viruses hijack the host metabolism to redirect the resources for their replication and survival. How SARS-CoV-2 influences the host metabolism is still unclear. In this study, we analyzed transcriptomic data obtained from different human respiratory cell lines and patient samples (Swab, PBMC, lung biopsy, BALF) to understand the metabolic alterations in response to SARS-CoV-2 infection. For this purpose, the expression pattern of metabolic genes in the human genome-scale metabolic network model Recon3D was explored. We identified metabolic genes and pathways and reporter metabolites under each SARS-CoV-2-infected condition and compared them to identify common and unique changes in the metabolism. Our analysis revealed host-dependent dysregulation of glycolysis, mitochondrial metabolism, amino acid metabolism, glutathione metabolism, polyamine synthesis, and lipid metabolism. We observed different metabolic changes that are pro- and antiviral in nature. We generated hypotheses on how antiviral metabolism can be targeted/enhanced for reducing viral titers. These warrant further exploration with more samples and in vitro studies to test predictions.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Virus Research
37 papers in training set
Top 0.1%
19.0%
2
Frontiers in Genetics
230 papers in training set
Top 0.2%
8.1%
3
Viruses
332 papers in training set
Top 1.0%
5.0%
4
Frontiers in Microbiology
427 papers in training set
Top 3%
4.1%
5
Computational Biology and Chemistry
28 papers in training set
Top 0.1%
3.5%
6
Gene Reports
14 papers in training set
Top 0.1%
3.3%
7
International Journal of Molecular Sciences
494 papers in training set
Top 3%
3.3%
8
iScience
1154 papers in training set
Top 6%
3.3%
9
Genes
144 papers in training set
Top 1.0%
2.7%
50% of probability mass above
10
Virologica Sinica
11 papers in training set
Top 0.1%
2.5%
11
Journal of Medical Virology
140 papers in training set
Top 1.0%
2.5%
12
PeerJ
308 papers in training set
Top 3%
2.5%
13
Scientific Reports
3612 papers in training set
Top 42%
2.5%
14
Briefings in Bioinformatics
354 papers in training set
Top 4%
1.8%
15
BMC Genomics
406 papers in training set
Top 5%
1.5%
16
Vaccines
198 papers in training set
Top 2%
1.5%
17
Virology
61 papers in training set
Top 0.8%
1.5%
18
Frontiers in Immunology
638 papers in training set
Top 7%
1.4%
19
Frontiers in Molecular Biosciences
102 papers in training set
Top 1%
1.2%
20
Journal of Cellular Biochemistry
11 papers in training set
Top 0.1%
1.0%
21
Heliyon
152 papers in training set
Top 6%
1.0%
22
Journal of Biosciences
15 papers in training set
Top 0.1%
1.0%
23
mSystems
394 papers in training set
Top 6%
0.9%
24
Microorganisms
106 papers in training set
Top 3%
0.9%
25
Gene
46 papers in training set
Top 2%
0.9%
26
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 3%
0.9%
27
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 5%
0.9%
28
Pharmaceuticals
34 papers in training set
Top 1%
0.9%
29
RNA Biology
78 papers in training set
Top 1%
0.6%
30
Biochemical and Biophysical Research Communications
84 papers in training set
Top 3%
0.6%