The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Cholesterol 25‐Hydroxylase inhibits SARS ‐CoV‐2 and other coronaviruses by depleting membrane cholesterol
Open accessAbstract
Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2 and has spread across the globe. SARS-CoV-2 is a highly infectious virus with no vaccine or antiviral therapy available to control the pandemic; therefore, it is crucial to understand the mechanisms of viral pathogenesis and the host immune responses to SARS-CoV-2. SARS-CoV-2 is a new member of the betacoronavirus genus like other closely related viruses including SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV). Both SARS-CoV and MERS-CoV have caused serious outbreaks and epidemics in the past eighteen years. Here, we report that one of the interferon-stimulated genes (ISGs), cholesterol 25-hydroxylase (CH25H), is induced by SARS-CoV-2 infection in vitro and in COVID-19-infected patients. CH25H converts cholesterol to 25-hydrocholesterol (25HC) and 25HC shows broad anti-coronavirus activity by blocking membrane fusion. Furthermore, 25HC inhibits USA-WA1/2020 SARS-CoV-2 infection in lung epithelial cells and viral entry in human lung organoids. Mechanistically, 25HC inhibits viral membrane fusion by activating the ER-localized acyl-CoA:cholesterol acyltransferase (ACAT) which leads to the depletion of accessible cholesterol from the plasma membrane. Altogether, our results shed light on a potentially broad antiviral mechanism by 25HC through depleting accessible cholesterol on the plasma membrane to suppress virus-cell fusion. Since 25HC is a natural product with no known toxicity at effective concentrations, it provides a potential therapeutic candidate for COVID-19 and emerging viral diseases in the future.
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Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Origin and evolution of pathogenic coronaviruses
Cui, J., Li, F., & Shi, Z.-L. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0118-9 · Cited by 5,515
Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19
Blanco-Melo, D., Nilsson-Payant, B. E., Liu, W.-C., Uhl, S., Hoagland, D., Møller, R., Jordan, T. X., Oishi, K., Panis, M., Sachs, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.026 · Cited by 4,222
Interferon-stimulated genes: A complex web of host defenses
Schneider, W. M., Chevillotte, M. D., & Rice, C. M. (2014) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032713-120231 · Cited by 3,067
Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
Liao, M., Liu, Y., Yuan, J., Wen, Y., Xu, G., Zhao, J., Cheng, L., Li, J., Wang, X., Wang, F., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0901-9 · Cited by 2,614
Hoffmann, M., Kleine-Weber, H., & Pöhlmann, S. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.04.022 · Cited by 1,852
Belouzard, S., Chu, V. C., & Whittaker, G. R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809524106 · Cited by 1,073
TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes
Zang, R., Castro, M. F. G., McCune, B. T., Zeng, Q., Rothlauf, P. W., Sonnek, N. M., Liu, Z., Brulois, K. F., Wang, X., Greenberg, H. B., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abc3582 · Cited by 982
Type I and Type III Interferons – Induction, Signaling, Evasion, and Application to Combat COVID-19
Park, A., & Iwasaki, A. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.05.008 · Cited by 909
COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives
Sun, J., He, W.-T., Wang, L., Lai, A., Ji, X., Zhai, X., Li, G., Suchard, M. A., Tian, J., Zhou, J., et al. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.02.008 · Cited by 685
Cited by
Diabetes, obesity, metabolism, and SARS-CoV-2 infection: the end of the beginning
Drucker, D. J. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.01.016 · Cited by 272
Cholesterol 25-hydroxylase suppresses SARS-CoV-2 replication by blocking membrane fusion
Zang, R., Case, J. B., Yutuc, E., Ma, X., Shen, S., Gomez Castro, M. F., Liu, Z., Zeng, Q., Zhao, H., Son, J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2012197117 · Cited by 240
Cholesterol metabolism: from lipidomics to immunology
Griffiths, W. J., & Wang, Y. (2022) · Journal of Lipid Research · doi:10.1016/j.jlr.2021.100165 · Cited by 68
Izumi, Y., Cashikar, A. G., Krishnan, K., Paul, S. M., Covey, D. F., Mennerick, S. J., & Zorumski, C. F. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1502-21.2021 · Cited by 53
Serquiña, A. K. P., Tagawa, T., Oh, D., Mahesh, G., & Ziegelbauer, J. M. (2021) · mBio · doi:10.1128/mbio.02907-21 · Cited by 24
Metadata
- Authors
- Wang, S., Li, W., Hui, H., Tiwari, S. K., Zhang, Q., Croker, B. A., Rawlings, S., Smith, D., Carlin, A. F., & Rana, T. M.
- Venue
- The EMBO Journal
- Published
- 2020-10-05
- Volume
- 39
- Issue
- 21
- Pages
- e106057-e106057
- ISSN
- 0261-4189 (ISSN-L)
- 1460-2075
- OpenAlex
- W3087689951
- Cited by
- 294
- References
- 37
- FWCI
- 5.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Wang, S., Li, W., Hui, H., Tiwari, S. K., Zhang, Q., Croker, B. A., Rawlings, S., Smith, D., Carlin, A. F., & Rana, T. M. (2020). Cholesterol 25‐Hydroxylase inhibits SARS ‐CoV‐2 and other coronaviruses by depleting membrane cholesterol. The EMBO Journal. https://doi.org/10.15252/embj.2020106057
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