2.50
Hdl Handle:
http://hdl.handle.net/10033/621083
Title:
Windows of opportunity for Ebola virus infection treatment and vaccination.
Authors:
Nguyen, Van Kinh; Hernandez-Vargas, Esteban A
Abstract:
Ebola virus (EBOV) infection causes a high death toll, killing a high proportion of EBOV-infected patients within 7 days. Comprehensive data on EBOV infection are fragmented, hampering efforts in developing therapeutics and vaccines against EBOV. Under this circumstance, mathematical models become valuable resources to explore potential controlling strategies. In this paper, we employed experimental data of EBOV-infected nonhuman primates (NHPs) to construct a mathematical framework for determining windows of opportunity for treatment and vaccination. Considering a prophylactic vaccine based on recombinant vesicular stomatitis virus expressing the EBOV glycoprotein (rVSV-EBOV), vaccination could be protective if a subject is vaccinated during a period from one week to four months before infection. For the case of a therapeutic vaccine based on monoclonal antibodies (mAbs), a single dose might resolve the invasive EBOV replication even if it was administrated as late as four days after infection. Our mathematical models can be used as building blocks for evaluating therapeutic and vaccine modalities as well as for evaluating public health intervention strategies in outbreaks. Future laboratory experiments will help to validate and refine the estimates of the windows of opportunity proposed here.
Affiliation:
BRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56, 38106 Braunschweig, Germany.
Citation:
Windows of opportunity for Ebola virus infection treatment and vaccination. 2017, 7 (1):8975 Sci Rep
Journal:
Scientific reports
Issue Date:
21-Aug-2017
URI:
http://hdl.handle.net/10033/621083
DOI:
10.1038/s41598-017-08884-0
PubMed ID:
28827623
Type:
Article
Language:
en
ISSN:
2045-2322
Appears in Collections:
publications of the research group systems medicine of infections([BRICS]SMID)

Full metadata record

DC FieldValue Language
dc.contributor.authorNguyen, Van Kinhen
dc.contributor.authorHernandez-Vargas, Esteban Aen
dc.date.accessioned2017-08-31T13:29:28Z-
dc.date.available2017-08-31T13:29:28Z-
dc.date.issued2017-08-21-
dc.identifier.citationWindows of opportunity for Ebola virus infection treatment and vaccination. 2017, 7 (1):8975 Sci Repen
dc.identifier.issn2045-2322-
dc.identifier.pmid28827623-
dc.identifier.doi10.1038/s41598-017-08884-0-
dc.identifier.urihttp://hdl.handle.net/10033/621083-
dc.description.abstractEbola virus (EBOV) infection causes a high death toll, killing a high proportion of EBOV-infected patients within 7 days. Comprehensive data on EBOV infection are fragmented, hampering efforts in developing therapeutics and vaccines against EBOV. Under this circumstance, mathematical models become valuable resources to explore potential controlling strategies. In this paper, we employed experimental data of EBOV-infected nonhuman primates (NHPs) to construct a mathematical framework for determining windows of opportunity for treatment and vaccination. Considering a prophylactic vaccine based on recombinant vesicular stomatitis virus expressing the EBOV glycoprotein (rVSV-EBOV), vaccination could be protective if a subject is vaccinated during a period from one week to four months before infection. For the case of a therapeutic vaccine based on monoclonal antibodies (mAbs), a single dose might resolve the invasive EBOV replication even if it was administrated as late as four days after infection. Our mathematical models can be used as building blocks for evaluating therapeutic and vaccine modalities as well as for evaluating public health intervention strategies in outbreaks. Future laboratory experiments will help to validate and refine the estimates of the windows of opportunity proposed here.en
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleWindows of opportunity for Ebola virus infection treatment and vaccination.en
dc.typeArticleen
dc.contributor.departmentBRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56, 38106 Braunschweig, Germany.en
dc.identifier.journalScientific reportsen

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