Evidence map›Paper›PMID 40456966›Full record

ArticleFood and environmental virology2025

Validation of an Optimised Method for Quantitative Detection of Hepatitis E Virus in Pork Sausage.

Sofia Persson, Ramia Molin, Ronnie Eriksson, Moa Lavander, Frederik Widén, Patrik Ellström, Magnus Simonsson

Abstract readValidation Study
In one paragraph

Article in Food and environmental virology, 2025. 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

7 authors.

Sofia PerssonEuropean Union Reference Laboratory for Foodborne Viruses, Swedish Food Agency, Dag Hammarskjölds väg 56 A, 752 37, Uppsala, Sweden. sofia.persson@medsci.uu.se.ORCID 0000-0003-2611-3030
Ramia MolinEuropean Union Reference Laboratory for Foodborne Viruses, Swedish Food Agency, Dag Hammarskjölds väg 56 A, 752 37, Uppsala, Sweden.ORCID 0009-0000-7317-3082
Ronnie ErikssonEuropean Union Reference Laboratory for Foodborne Viruses, Swedish Food Agency, Dag Hammarskjölds väg 56 A, 752 37, Uppsala, Sweden.
Moa LavanderEuropean Union Reference Laboratory for Foodborne Viruses, Swedish Food Agency, Dag Hammarskjölds väg 56 A, 752 37, Uppsala, Sweden.
Frederik WidénDepartment of Microbiology, Swedish Veterinary Institute, Ulls väg 2B, 751 89, Uppsala, Uppsala, Sweden.
Patrik EllströmDepartment of Medical Sciences, Zoonosis Science Centre, Uppsala University, Husargatan 3, 752 37, Uppsala, Sweden.ORCID 0000-0001-8920-6061
Magnus SimonssonEuropean Union Reference Laboratory for Foodborne Viruses, Swedish Food Agency, Dag Hammarskjölds väg 56 A, 752 37, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis E virus (HEV) infection is an emerging zoonosis that can be transmitted to humans through the consumption of raw or undercooked pork products. Several methods have been described to detect the virus in food, but there are few data on qualitative and quantitative performance characteristics. In this study, we have developed an optimised method for quantitative detection of HEV in pork sausage based on a combination of previously published protocols. The method utilises sample disruption and phase separation with tri-reagent and 1-bromo-3-chloropropane followed by RNA concentration with isopropanol precipitation. We validated the method for use on reverse transcription quantitative real-time PCR (RT-qPCR) and reverse transcription droplet digital (RT-ddPCR). The 95% limit of detection and limit of quantification was 200 copies/g for both RT-qPCR and RT-ddPCR. RT-ddPCR technology has previously shown promise as a more precise alternative to RT-qPCR. However, we found no evidence for improved performance using RT-ddPCR instead of RT-qPCR for this method. Additionally, we further verified the performance of the HEV RT-PCR assay using the WHO International Standard and Reference Panel for HEV RNA. Finally, we assessed different combinations of RNA concentration protocols and RT-PCR detection strategies. This showed that isopropanol precipitation of viral RNA was at least twice as efficient as magnetic silica bead-based extraction when an inhibitor-tolerant RT-qPCR detection strategy was used. In summary, we present an efficient and well-characterised method for quantitative detection of HEV in pork sausage. Such methods are valuable to provide high-quality data for risk assessments and food monitoring.

Indexed as

Food ContaminationHepatitis E virusMeat ProductsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionAnimalsHepatitis EHumansRNA, ViralSwineRNA, ViralDigital PCRFoodborne virusHEVMethod characterisationReal-time PCRValidation

Identifiers

PMID40456966
PMCPMC12130118

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Registered trials

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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.