Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19-Reference-Cited by-同舟云学术

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Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19

Published:2021-02-05 Issue:6 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Jung Sascha¹^ORCID,Potapov Ilya²^ORCID,Chillara Samyukta¹,del Sol Antonio¹²³^ORCID

Affiliation:

1. Computational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park, Derio 48160, Spain.

2. Computational Biology Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, L-4362 Esch-sur-Alzette, Luxembourg.

3. IKERBASQUE, Basque Foundation for Science, Bilbao 48013, Spain.

Abstract

A systems biology approach predicts immunomodulators in diseases characterized by pathological inflammation, such as COVID-19.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference43 articles.

1. Inflammation–Nature's Way to Efficiently Respond to All Types of Challenges: Implications for Understanding and Managing “the Epidemic” of Chronic Diseases

2. Y. Yang C. Shen J. Li J. Yuan M. Yang F. Wang G. Li Y. Li L. Xing L. Peng J. Wei M. Cao H. Zheng W. Wu R. Zou D. Li Z. Xu H. Wang M. Zhang Z. Zhang L. Liu Y. Liu Exuberant elevation of IP-10 MCP-3 and IL-1ra during SARS-CoV-2 infection is associated with disease severity and fatal outcome. medRxiv 2020.03.02.20029975 [Preprint]. 6 March 2020. https://doi.org/10.1101/2020.03.02.20029975.

3. The clinical course and its correlated immune status in COVID-19 pneumonia

4. Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19

5. Cytokine Signature Associated with Disease Severity in Dengue

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