Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity

The clinical outcome and disease severity in coronavirus disease 2019 (COVID-19) are heterogeneous, and the progression or fatality of the disease cannot be explained by a single factor like age or comorbidities. In this study, we used system-wide network-based system biology analysis using whole bl...

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Detalles Bibliográficos
Autores principales: Ambikan, Anoop T., Yang, Hong, Krishnan, Shuba, Svensson Akusjärvi, Sara, Gupta, Soham, Lourda, Magda, Sperk, Maike, Arif, Muhammad, Zhang, Cheng, Nordqvist, Hampus, Ponnan, Sivasankaran Munusamy, Sönnerborg, Anders, Treutiger, Carl Johan, O’Mahony, Liam, Mardinoglu, Adil, Benfeitas, Rui, Neogi, Ujjwal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263811/
https://www.ncbi.nlm.nih.gov/pubmed/35933992
http://dx.doi.org/10.1016/j.cels.2022.06.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263811/
https://www.ncbi.nlm.nih.gov/pubmed/35933992
http://dx.doi.org/10.1016/j.cels.2022.06.006

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