Woodall, MNJ;
Masonou, T;
Case, K-M;
Smith, CM;
(2021)
Human Models for COVID-19 Research.
Journal of Physiology
, 599
(18)
pp. 4255-4267.
10.1113/JP281499.
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Abstract
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a newly emerged severe acute respiratory syndrome (SARS)-coronavirus-2 (SARS-CoV-2). COVID-19 presents a diverse clinical spectrum, ranging from an asymptomatic carrier state to patients with life-threatening multi-organ failure and death (Huang et al., 48a). The greatest risk factor for severe disease is age, with higher morbidity and mortality rates in the elderly population, despite younger people shedding similar levels of virus (Yanez et al., 104). The overall case fatality rate of COVID-19 is 2.3%, rising to 14.8% in patients over the age of 80, and 49% among the critically ill (Kang & Jung, 55). Currently, therapeutics for COVID-19 are limited. To overcome this, it is important that we use physiologically relevant models to reproduce the pathology of infection and evaluate the efficacy of antiviral drugs. Models of airway infection, including the use of a human infection challenge model or well-defined, disease relevant in vitro systems can help determine the key components that perpetuate the severity of the disease. Here, we briefly review the human models that are currently being used in COVID-19 research and drug development.
Type: | Article |
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Title: | Human Models for COVID-19 Research |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1113/JP281499 |
Publisher version: | https://doi.org/10.1113/JP281499 |
Language: | English |
Additional information: | © 2021 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | cilia, differentitated, infection respiratory, SARS-CoV-2 |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Infection, Immunity and Inflammation Dept |
URI: | https://discovery.ucl.ac.uk/id/eprint/10131938 |
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