Genome-scale metabolic modelling of SARS-CoV-2 in cancer cells reveals an increased shift to glycolytic energy production

Elisabeth Yaneske, Guido Zampieri, Loris Bertoldi, Giuseppe Benvenuto, Claudio Angione

Research output: Contribution to journalArticlepeer-review

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 transcriptomics- and proteomics-informed genomescale 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.

Original languageEnglish
JournalFEBS Letters
Early online date19 Aug 2021
DOIs
Publication statusE-pub ahead of print - 19 Aug 2021

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