Modeling challenges of Ebola virus–host dynamics during infection and treatment

  • Daniel S. Chertow
  • , Louis Shekhtman
  • , Yoav Lurie
  • , Richard T. Davey
  • , Theo Heller
  • , Harel Dahari

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Mathematical modeling of Ebola virus (EBOV)–host dynamics during infection and treatment in vivo is in its infancy due to few studies with frequent viral kinetic data, lack of approved antiviral therapies, and limited insight into the timing of EBOV infection of cells and tissues throughout the body. Current in-host mathematical models simplify EBOV infection by assuming a single homogeneous compartment of infection. In particular, a recent modeling study assumed the liver as the largest solid organ targeted by EBOV infection and predicted that nearly all cells become refractory to infection within seven days of initial infection without antiviral treatment. We compared our observations of EBOV kinetics in multiple anatomic compartments and hepatocellular injury in a critically ill patient with Ebola virus disease (EVD) with this model’s predictions. We also explored the model’s predictions, with and without antiviral therapy, by recapitulating the model using published inputs and assumptions. Our findings highlight the challenges of modeling EBOV–host dynamics and therapeutic efficacy and emphasize the need for iterative interdisciplinary efforts to refine mathematical models that might advance understanding of EVD pathogenesis and treatment.

Original languageEnglish
Article number106
JournalViruses
Volume12
Issue number1
DOIs
StatePublished - 16 Jan 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

Funding

Funding: This research was funded in part by the U.S. National Institute of Health (NIH) Intramural Research Program, and NIH grants R01AI144112, R01-AI078881 and R01GM121600. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. Critical Care Medicine Department, National Institutes of Health Clinical Center, Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA The Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA; [email protected] (L.S.); [email protected] (H.D.) Network Science Institute, Northeastern University, Boston, MA 02115, USA Liver Unit, Shaare Zedek Medical Center and the Hebrew University of Jerusalem, Jerusalem 9103102, Israel; [email protected] Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] Translational Hepatology Unit, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] Correspondence: [email protected]; Tel.: +1-(301)-451-7731 This research was funded in part by the U.S. National Institute of Health (NIH) Intramural Research Program, and NIH grants R01AI144112, R01-AI078881 and R01GM121600. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

FundersFunder number
Critical Care Medicine Department
Department of Medicine
Laboratory of Immunoregulation
National institute of Health
U.S. Government
U.S. National Institute of Health
National Institutes of HealthR01GM121600
U.S. Department of Health and Human Services
National Institute of Allergy and Infectious DiseasesR01AI078881, R01AI144112
National Institute of Diabetes and Digestive and Kidney Diseases
NIH Clinical Center
Northeastern University
Hebrew University of Jerusalem

    Keywords

    • Ebola virus
    • Liver
    • Mathematical modeling
    • Viral kinetics

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