Genome-scale metabolic modelling of SARS-CoV-2 in cancer cells reveals an increased shift to glycolytic energy production.
FEBS Lett
; 595(18): 2350-2365, 2021 09.
Article
in English
| MEDLINE | ID: covidwho-1363632
ABSTRACT
Cancer is considered a high-risk condition for severe illness resulting from COVID-19. The interaction between severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and human metabolism is key to elucidating the risk posed by COVID-19 for cancer patients and identifying effective treatments, yet it is largely uncharacterised on a mechanistic level. We present a genome-scale map of short-term metabolic alterations triggered by SARS-CoV-2 infection of cancer cells. Through transcriptomic- and proteomic-informed genome-scale metabolic modelling, we characterise the role of RNA and fatty acid biosynthesis in conjunction with a rewiring in energy production pathways and enhanced cytokine secretion. These findings link together complementary aspects of viral invasion of cancer cells, while providing mechanistic insights that can inform the development of treatment strategies.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
SARS-CoV-2
/
COVID-19
/
Glycolysis
/
Models, Biological
/
Neoplasms
Type of study:
Prognostic study
Topics:
Long Covid
Limits:
Humans
Language:
English
Journal:
FEBS Lett
Year:
2021
Document Type:
Article
Affiliation country:
1873-3468.14180
Similar
MEDLINE
...
LILACS
LIS