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Genome-scale metabolic modelling of SARS-CoV-2 in cancer cells reveals an increased shift to glycolytic energy production
FEBS Letters ( IF 3.5 ) Pub Date : 2021-08-19 , DOI: 10.1002/1873-3468.14180
Elisabeth Yaneske 1 , Guido Zampieri 1, 2 , Loris Bertoldi 3 , Giuseppe Benvenuto 3 , Claudio Angione 1, 4, 5
Affiliation  

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.

中文翻译:

癌细胞中 SARS-CoV-2 的基因组规模代谢模型显示向糖酵解能量产生的转变增加

癌症被认为是 COVID-19 导致的严重疾病的高危病症。严重急性呼吸系统综合症冠状病毒-2 (SARS-CoV-2) 与人类新陈代谢之间的相互作用是阐明 COVID-19 对癌症患者构成的风险和确定有效治疗方法的关键,但它在机制层面上基本上没有特征。我们展示了由 SARS-CoV-2 感染癌细胞引发的短期代谢改变的基因组规模图。通过转录组学和蛋白质组学信息的基因组规模代谢建模,我们表征了 RNA 和脂肪酸生物合成与能量生产途径的重新布线和细胞因子分泌增强的作用。这些发现将病毒入侵癌细胞的互补方面联系在一起,
更新日期:2021-09-27
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