4.6 Article

A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2

Journal

PLOS BIOLOGY
Volume 19, Issue 3, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pbio.3001128

Keywords

-

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea - Ministry of Education [2019R1A6A3A12031316]
  2. AMED [JP20dm0307009]
  3. AMED CREST [19gm1310002]
  4. AMED Japan Program for Infectious Diseases Research [20wm0325007h0001, 20wm0325004s0201, 20wm0325012s0301, 20wm0325015s0301]
  5. AMED Research Program on HIV/AIDS [19fk0410023s0101]
  6. AMED Research Program on Emerging and Re-emerging Infectious Diseases [19fk0108156h0001, 20fk0108140s0801, 20fk0108413s0301]
  7. AMED Program for Basic and Clinical Research on Hepatitis [19fk0210036j0002, 19fk0210036h0502]
  8. AMED Program on the Innovative Development and the Application of New Drugs for Hepatitis B [19fk0310114j0003, 19fk0310101j1003, 19fk0310103j0203, 19fk0310114h0103]
  9. Moonshot RD Grant [JPMJMS2021, JPMJMS2025]
  10. JST PRESTO
  11. JST MIRAI
  12. Yasuda Medical Foundation
  13. Takeda Science Foundation
  14. Mochida Memorial Foundation for Medical and Pharmaceutical Research
  15. Mitsui Life Social Welfare Foundation
  16. Shin-Nihon of Advanced Medical Research
  17. Suzuken Memorial Foundation
  18. Life Science Foundation of Japan
  19. SECOM Science and Technology Foundation
  20. Japan Prize Foundation
  21. Kyusyu Industrial Advancement Center Gapfund Program
  22. Foundation for the Fusion of Science and Technology
  23. Christ Church, Oxford
  24. U.S. National Science Foundation [PHY-2031756]
  25. Fukuoka Financial Group, Inc.
  26. [17H04085]
  27. [18KT0018]
  28. [18H01139]
  29. [16H04845]
  30. [15H05707]
  31. [20H05042]
  32. [19H04839]
  33. [18H05103]
  34. National Research Foundation of Korea [2019R1A6A3A12031316] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

The study compared the viral dynamics of SARS-CoV-2 with MERS-CoV and SARS-CoV, finding that SARS-CoV-2 had a higher within-host reproduction number and a shorter time to viral load peak. Therapies targeting de novo infection or virus production were found to be effective if initiated before the viral load peak, while therapies promoting cytotoxicity of infected cells were less sensitive to treatment timing. Combining both types of therapies showed synergistic effects in reducing viral load.
The scientific community is focused on developing antiviral therapies to mitigate the impacts of the ongoing novel coronavirus disease 2019 (COVID-19) outbreak. This will be facilitated by improved understanding of viral dynamics within infected hosts. Here, using a mathematical model in combination with published viral load data, we compare within-host viral dynamics of SARS-CoV-2 with analogous dynamics of MERS-CoV and SARS-CoV. Our quantitative analyses using a mathematical model revealed that the within-host reproduction number at symptom onset of SARS-CoV-2 was statistically significantly larger than that of MERS-CoV and similar to that of SARS-CoV. In addition, the time from symptom onset to the viral load peak for SARS-CoV-2 infection was shorter than those of MERS-CoV and SARS-CoV. These findings suggest the difficulty of controlling SARS-CoV-2 infection by antivirals. We further used the viral dynamics model to predict the efficacy of potential antiviral drugs that have different modes of action. The efficacy was measured by the reduction in the viral load area under the curve (AUC). Our results indicate that therapies that block de novo infection or virus production are likely to be effective if and only if initiated before the viral load peak (which appears 2-3 days after symptom onset), but therapies that promote cytotoxicity of infected cells are likely to have effects with less sensitivity to the timing of treatment initiation. Furthermore, combining a therapy that promotes cytotoxicity and one that blocks de novo infection or virus production synergistically reduces the AUC with early treatment. Our unique modeling approach provides insights into the pathogenesis of SARS-CoV-2 and may be useful for development of antiviral therapies.

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