1. Genome‐scale metabolic modelling of SARS‐CoV‐2 in cancer cells reveals an increased shift to glycolytic energy production.
- Author
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Yaneske, Elisabeth, Zampieri, Guido, Bertoldi, Loris, Benvenuto, Giuseppe, and Angione, Claudio
- Subjects
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SARS-CoV-2 , *METABOLIC models , *COVID-19 , *GLYCOLYSIS , *CANCER cells - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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