Evidence map›Paper›PMID 32810801›Full record

ReviewCurrent opinion in microbiology2021

Hepatitis E virus: host tropism and zoonotic infection.

Bo Wang, Xiang-Jin Meng

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
–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

88 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Detection and Characterization ofPathogens (Basel, Switzerland) · 2025
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28 more citing papers are in PubMed but not listed here.

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

2 authors.

Bo WangDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.
Xiang-Jin MengDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States. Electronic address: xjmeng@vt.edu.

Funding

A Chicken Model to Study Hepatitis E Virus PathogenesisR01AI050611 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MENG, XIANG-JIN · 2002 to 2023
$6.1M
Understanding the mechanism of neurological sequelae associated with hepatitis E virus infectionR21AI141677 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MENG, XIANG-JIN · 2019 to 2020
$425k
NIAID NIH HHS R01 AI050611NIAID NIH HHS R21 AI141677
6 · The paper itself

Abstract

Hepatitis E virus (HEV), the causative agent of hepatitis E, is an understudied but important pathogen. HEV typically causes self-limiting acute viral hepatitis, however chronic infection with neurological and other extrahepatic manifestations has increasingly become a significant clinical problem. The discovery of swine HEV from pigs and demonstration of its zoonotic potential led to the genetic identification of very diverse HEV strains from more than a dozen other animal species. HEV strains from pig, rabbit, deer, camel, and rat have been shown to cross species barriers and infect humans. Zoonotic HEV infections through consumption of raw or undercooked animal meat or direct contact with infected animals have been reported. The discovery of a large number of animal HEV variants does provide an opportunity to develop useful animal models for HEV. In this mini-review, we discuss recent advances in HEV host range, and cross-species and zoonotic transmission.

Indexed as

Hepatitis EHepatitis E virusHost SpecificityZoonosesAnimalsGenetic VariationHumansViral Tropism

Identifiers

PMID32810801
PMCPMC7854786

What OpenQuestion holds

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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.