Evidence map›Paper›PMID 34372514›Full record

ArticleViruses2021

HCV Spread Kinetics Reveal Varying Contributions of Transmission Modes to Infection Dynamics.

Karina Durso-Cain, Peter Kumberger, Yannik Schälte, Theresa Fink, Harel Dahari, Jan Hasenauer, Susan L Uprichard, Frederik Graw

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Karina Durso-CainDepartment of Microbiology and Immunology, and The Infectious Disease and Immunology Research Institute, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA.
Peter KumbergerBioQuant-Center for Quantitative Biology, BIOMS, Heidelberg University, 69120 Heidelberg, Germany.
Yannik SchälteMathematical Modeling of Biological Systems, Department of Mathematics, TU München, 85748 Garching, Germany.
Theresa FinkBioQuant-Center for Quantitative Biology, BIOMS, Heidelberg University, 69120 Heidelberg, Germany.
Harel DahariThe Program for Experimental and Theoretical Modeling, Department of Medicine, Division of Hepatology, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA.ORCID 0000-0002-3357-1817
Jan HasenauerInstitute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-4935-3312
Susan L UprichardDepartment of Microbiology and Immunology, and The Infectious Disease and Immunology Research Institute, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL 60153, USA.
Frederik GrawBioQuant-Center for Quantitative Biology, BIOMS, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0002-1198-6632
Heidelberg University · DELoyola University Medical Center · USHelmholtz Zentrum München · DEUniversity of Bonn · DE

Funding

Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
Experimental Immunology Training GrantT32AI007508 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI KNIGHT, KATHERINE L. · 1997 to 2022
$4.0M
NIAID NIH HHS R01 AI078881NIAID NIH HHS T32 AI007508
6 · The paper itself

Abstract

The hepatitis C virus (HCV) is capable of spreading within a host by two different transmission modes: cell-free and cell-to-cell. However, the contribution of each of these transmission mechanisms to HCV spread is unknown. To dissect the contribution of these different transmission modes to HCV spread, we measured HCV lifecycle kinetics and used an in vitro spread assay to monitor HCV spread kinetics after a low multiplicity of infection in the absence and presence of a neutralizing antibody that blocks cell-free spread. By analyzing these data with a spatially explicit mathematical model that describes viral spread on a single-cell level, we quantified the contribution of cell-free, and cell-to-cell spread to the overall infection dynamics and show that both transmission modes act synergistically to enhance the spread of infection. Thus, the simultaneous occurrence of both transmission modes represents an advantage for HCV that may contribute to viral persistence. Notably, the relative contribution of each viral transmission mode appeared to vary dependent on different experimental conditions and suggests that viral spread is optimized according to the environment. Together, our analyses provide insight into the spread dynamics of HCV and reveal how different transmission modes impact each other.

Indexed as

Host Microbial InteractionsCell Line, TumorHepacivirusHepatitis CHumansKineticsModels, TheoreticalVirus Internalizationagent-based modelcell-to-cell transmissionHCVmathematical modelingspatial spread

Identifiers

PMID34372514
PMCPMC8310333
OpenAlexW3179851220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.