Evidence map›Paper›PMID 34582439›Full record

ArticlePLoS neglected tropical diseases2021

Urinary genome detection and tracking of Hantaan virus from hemorrhagic fever with renal syndrome patients using multiplex PCR-based next-generation sequencing.

Seungchan Cho, Won-Keun Kim, Jin Sun No, Seung-Ho Lee, Jaehun Jung, Yongjin Yi, Hayne Cho Park, Geum-Young Lee, Kyungmin Park, Jeong-Ah Kim and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Molecular Detection ofJournal of clinical microbiology · 2023
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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 at 7 institutions in 1 country.

Seungchan ChoDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Won-Keun KimDepartment of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea.ORCID 0000-0003-3178-8569
Jin Sun NoDivision of High-risk Pathogens, Bureau of Infectious Diseases Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Seung-Ho LeeDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Jaehun JungDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
Yongjin YiDivision of Nephrology, Department of Internal Medicine, Dankook University Hospital, Cheonan, Republic of Korea.ORCID 0000-0001-8553-7189
Hayne Cho ParkDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea.
Geum-Young LeeDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Kyungmin ParkDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Jeong-Ah KimDivision of High-risk Pathogens, Bureau of Infectious Diseases Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Jongwoo KimDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Jingyeong LeeDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.
Daesang Lee4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea.
Dong Hyun Song4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea.
Se Hun Gu4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea.
Seong Tae Jeong4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea.
Jin-Won SongDepartment of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0796-8332
Korea University · KRAgency for Defense Development · KRDankook University Hospital · KRGachon University · KRHallym University · KRHallym University Kangnam Sacred Heart Hospital · KRKorea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHantavirus infection occurs through the inhalation of aerosolized excreta, including urine, feces, and saliva of infected rodents. The presence of Hantaan virus (HTNV) RNA or infectious particles in urine specimens of patient with hemorrhagic fever with renal syndrome (HFRS) remains to be investigated. METHODOLOGY/PRINCIPAL

findingsWe collected four urine and serum specimens of Republic of Korea Army (ROKA) patients with HFRS. We performed multiplex PCR-based next-generation sequencing (NGS) to obtain the genome sequences of clinical HTNV in urine specimens containing ultra-low amounts of viral genomes. The epidemiological and phylogenetic analyses of HTNV demonstrated geographically homogenous clustering with those in Apodemus agrarius captured in highly endemic areas, indicating that phylogeographic tracing of HTNV genomes reveals the potential infection sites of patients with HFRS. Genetic exchange analyses showed a genetic configuration compatible with HTNV L segment exchange in nature. CONCLUSION/SIGNIFICANCE: Our results suggest that whole or partial genome sequences of HTNV from the urine enabled to track the putative infection sites of patients with HFRS by phylogeographically linking to the zoonotic HTNV from the reservoir host captured at endemic regions. This report raises awareness among physicians for the presence of HTNV in the urine of patients with HFRS.

Indexed as

Genome, ViralHantaan virusHemorrhagic Fever with Renal SyndromeHigh-Throughput Nucleotide SequencingHumansMultiplex Polymerase Chain ReactionPhylogenyRepublic of KoreaUrine

Identifiers

PMID34582439
PMCPMC8478167
OpenAlexW3203826614

What OpenQuestion holds

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LicenceCC BY
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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.