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    The expression level of angiotensin-converting enzyme 2 determines the severity of COVID-19: lung and heart tissue as targets

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    Date
    2020
    Author
    Babadaei M.M.N.
    Hasan, Anwarul
    Bloukh S.H.
    Edis Z.
    Sharifi M.
    Kachooei E.
    Falahati M.
    ...show more authors ...show less authors
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    Abstract
    Researchers have reported some useful information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leading to CoV disease 2019 (COVID-19). Several studies have been performed in order to develop antiviral drugs, from which a few have been prescribed to patients. Also, several diagnostic tests have been designed to accelerate the process of identifying and treating COVID-19. It has been well-documented that the surface of host cells is covered by some receptors, known as angiotensin-converting enzyme 2 (ACE2), which mediates the binding and entry of CoV. After entering, the viral RNA interrupts the cell proliferation system to activate self-proliferation. However, having all the information about the outbreakof the SARS-COV-2, it is not still clear which factors determine the severity of lung and heart function impairment induced by COVID-19. A major step in exploring SARS-COV-2 pathogenesis is to determine the distribution of ACE2 in different tissues. In this review, the structure and origin of CoV, the role of ACE2 as a receptor of SARS-COV-2 on the surface of host cells, and the ACE2 distribution in different tissues with a focus on lung and cardiovascular system have been discussed. It was also revealed that acute and chronic cardiovascular diseases (CVDs) may result in the clinical severity of COVID-19. In conclusion, this review may provide useful information in developing some promising strategies to end up with a worldwide COVID-19 pandemic. Communicated by Ramaswamy H. Sarma.
    DOI/handle
    http://dx.doi.org/10.1080/07391102.2020.1767211
    http://hdl.handle.net/10576/31321
    Collections
    • COVID-19 Research [‎849‎ items ]
    • Mechanical & Industrial Engineering [‎1472‎ items ]

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