Evidence map›Paper›PMID 39772180›Full record

ArticleViruses2024

Detection of Hepatitis C Virus Infection from Patient Sera in Cell Culture Using Semi-Automated Image Analysis.

Noemi Schäfer, Paul Rothhaar, Christian Heuss, Christoph Neumann-Haefelin, Robert Thimme, Julia Dietz, Christoph Sarrazin, Paul Schnitzler, Uta Merle, Sofía Pérez-Del-Pulgar and 2 more

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Noemi SchäferDepartment of Infectious Diseases, Molecular Virology, Section Virus-Host Interactions, Heidelberg University, 69120 Heidelberg, Germany.
Paul RothhaarDepartment of Infectious Diseases, Molecular Virology, Section Virus-Host Interactions, Heidelberg University, 69120 Heidelberg, Germany.
Christian HeussDepartment of Infectious Diseases, Molecular Virology, Section Virus-Host Interactions, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0002-1730-2959
Christoph Neumann-HaefelinDepartment of Medicine II, Medical Center, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-7351-1387
Robert ThimmeDepartment of Medicine II, Medical Center, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany.
Julia DietzDepartment of Internal Medicine 1, University Hospital, Goethe University, 60596 Frankfurt, Germany.
Christoph SarrazinDepartment of Internal Medicine 1, University Hospital, Goethe University, 60596 Frankfurt, Germany.
Paul SchnitzlerDepartment of Infectious Diseases, Virology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Uta MerleDepartment of Internal Medicine IV, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0003-1386-3350
Sofía Pérez-Del-PulgarLiver Unit, Hospital Clínic, IDIBAPS and CIBEREHD, University of Barcelona, 08036 Barcelona, Spain.ORCID 0000-0002-9890-300X
Vibor LaketaDepartment of Infectious Diseases, Virology, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-9472-2738
Volker LohmannDepartment of Infectious Diseases, Molecular Virology, Section Virus-Host Interactions, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0001-8719-7608

Funding

Deutsche Forschungsgemeinschaft 272983813Deutsche Forschungsgemeinschaft 519777725German Center for Infection Research DZIF academyGerman Center for Infection Research TTU 05.821
6 · The paper itself

Abstract

The study of hepatitis C virus (HCV) replication in cell culture is mainly based on cloned viral isolates requiring adaptation for efficient replication in Huh7 hepatoma cells. The analysis of wild-type (WT) isolates was enabled by the expression of SEC14L2 and by inhibitors targeting deleterious host factors. Here, we aimed to optimize cell culture models to allow infection with HCV from patient sera. We used Huh7-Lunet cells ectopically expressing SEC14L2, CD81, and a GFP reporter with nuclear translocation upon cleavage by the HCV protease to study HCV replication, combined with a drug-based regimen for stimulation of non-modified wild-type isolates. RT-qPCR-based quantification of HCV infections using patient sera suffered from a high background in the daclatasvir-treated controls. We therefore established an automated image analysis pipeline based on imaging of whole wells and iterative training of a machine learning tool, using nuclear GFP localization as a readout for HCV infection. Upon visual validation of hits assigned by the automated image analysis, the method revealed no background in daclatasvir-treated samples. Thereby, infection events were found for 15 of 34 high titer HCV genotype (gt) 1b sera, revealing a significant correlation between serum titer and successful infection. We further show that transfection of viral RNA extracted from sera can be used in this model as well, albeit with so far limited efficiency. Overall, we generated a robust serum infection assay for gt1b isolates using semi-automated image analysis, which was superior to conventional RT-qPCR-based quantification of viral genomes.

Indexed as

HepacivirusHepatitis CAntiviral AgentsCarbamatesCell Culture TechniquesCell Line, TumorGenotypeHumansImage Processing, Computer-AssistedImidazolesPyrrolidinesValineVirus ReplicationAntiviral AgentsCarbamatesdaclatasvirImidazolesPyrrolidinesValinecell cultureHCVimage analysisinfectionmachine learningpatient sera

Identifiers

PMID39772180
PMCPMC11680372

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.