Evidence map›Paper›PMID 39919119›Full record

ArticlePLoS neglected tropical diseases2025

Epidemiological surveillance and phylogenetic diversity of Orthohantavirus hantanense using high-fidelity nanopore sequencing, Republic of Korea.

Kyungmin Park, Jongwoo Kim, Juyoung Noh, Seong-Gyu Kim, Hee-Kyung Cho, Kijin Kim, Ye-Rin Seo, Taehun Lim, Seonghyeon Lee, Jaeyeon Lee and 7 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

17 authors.

Kyungmin ParkDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2132-0674
Jongwoo KimDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Juyoung NohDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Seong-Gyu KimDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Hee-Kyung ChoDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Kijin KimFaculty of Health Sciences, Centre for Infectious Disease Genomics and One Health, Simon Fraser University, Burnaby, Canada.
Ye-Rin SeoDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Taehun LimDepartment of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea.
Seonghyeon LeeDepartment of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea.
Jaeyeon LeeDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Seung In LimThe Fifth Preventive Medicine Unit of Republic of Korea Army, Pocheon, Republic of Korea.
Young Hoon JooThe First Preventive Medicine Unit of Republic of Korea Army, Goyang, Republic of Korea.
Buddle LeeThe Third Preventive Medicine Unit of Republic of Korea Army, Inje, Republic of Korea.
Seok Hyeon YunThe Second Preventive Medicine Unit of Republic of Korea Army, Chuncheon, Republic of Korea.
Changbo ParkRepublic of Korea Army Headquarters, Daejeon, Republic of Korea.
Won-Keun KimDepartment of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea.ORCID 0000-0003-3178-8569
Jin-Won SongDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0796-8332

Funding

Institute for Basic Science (IBS)Korean government (MSIT)Korea UniversityMinistry of Education
6 · The paper itself

Abstract

backgroundOrthohantavirus hantanense (HTNV) poses a substantial global public health threat due to its role in causing hemorrhagic fever with renal syndrome (HFRS). HTNV outbreaks are particularly prevalent in the Gyeonggi and Gangwon Provinces of the Republic of Korea (ROK). This study aimed to evaluate the application of advanced nanopore sequencing and bioinformatics to generate complete genome sequences of HTNV, with the objective of accurately identifying infection sources and analyzing their genetic diversity. METHODOLOGY/PRINCIPAL

findingsIn 2022 and 2023, we collected 579 small mammals from 11 distinct locations across Gyeonggi and Gangwon Provinces, as well as in Gwangju Metropolitan City, ROK. Among these, 498 Apodemus agrarius specimens were subjected to an epidemiological survey to investigate HTNV infections. The serological and molecular positivity of HTNV were found to be 65/498 (13.1%) and 17/65 (26.2%), respectively. Furthermore, 15 whole-genome sequences of HTNV were obtained from rodents in Gyeonggi and Gangwon Provinces. We developed a novel amplicon-based nanopore sequencing approach to acquire high-fidelity and precise genomic sequences of HTNV. Genome exchange analysis revealed three reassortant candidates, including heterogeneous L segments, from Paju-si and Yeoncheon-gun in Gyeonggi Province. CONCLUSION/SIGNIFICANCE: Our findings enhance the resolution of the spatiotemporal genomic surveillance of HTNV by consistently providing new viral sequences and epidemiological data from HFRS-endemic regions in the ROK. This report signifies a notable advancement in nanopore sequencing techniques and bioinformatics, offering a robust platform for genome-based diagnostics and sophisticated phylogenetic analyses of orthohantaviruses, which are essential for public health strategies aimed at controlling HFRS.

Indexed as

Genetic VariationHemorrhagic Fever with Renal SyndromeNanopore SequencingOrthohantavirusAnimalsEpidemiological MonitoringGenome, ViralHumansMurinaePhylogenyRepublic of Korea

Identifiers

PMID39919119
PMCPMC11828426

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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.