Evidence map›Paper›PMID 40511403›Full record

ArticleInfectious medicine2025

Isolation and characterization of a novel coltivirus from

Yu-Hong Yang, Ji-Xu Li, Rui-Chen Wang, Qi-Kai Yin, Shi-Hong Fu, Kai Nie, Qian-Qian Cui, Song-Tao Xu, Qiang Wei, Fan Li and 2 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yu-Hong YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Ji-Xu LiYanbian Center for Disease Control and Prevention, Yanbian 133000, Jilin Province, China.
Rui-Chen WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Qi-Kai YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Shi-Hong FuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Kai NieNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Qian-Qian CuiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Song-Tao XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Qiang WeiNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Fan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Xing-Zhou LiSchool of Public Health, Jiamusi University, Jiamusi 154002, Heilongjiang Province, China.
Huan-Yu WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backgroud: Coltiviruses are spherical, non-enveloped viruses with 12 double-stranded RNA segments, belonging to the family Methods: SW-13 and Vero cells were used to isolate WLTRV through three blind passages, while seven mammalian cell lines assessed viral growth. Viral morphology was observed by electron microscopy. Next-generation sequencing, 5' and 3' rapid amplification of cDNA ends were used to determine WLTRV whole genome sequences, and phylogenetic methods were used to characterize WLTRV. A real-time quantitative polymerase chain reaction (RT-qPCR) was used to detect WLTRV RNA in ticks. Results: WLTRV grew and exerted cytopathic effects in human (SW-13 and 293T) and mouse (BHK-21 and N2A) cell lines, revealing its potential to infect mammals. Phylogenetic analysis based on RNA-dependent RNA polymerase sequences classified WLTRV within the genus Conclusions: This study represents the first isolation and identification of WLTRV from

Indexed as

ColtivirusHaemaphysalis concinnaNortheastern ChinaPhylogenetic characterizationWoodland tick reovirus

Identifiers

PMID40511403
PMCPMC12159217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.