Evidence map›Paper›PMID 35155276›Full record

ArticleFrontiers in cellular and infection microbiology2022

Analysis of miRNAs Involved in Mouse Heart Injury Upon Coxsackievirus A2 Infection.

Zhaoke Wu, Shenshen Zhu, Juanfeng Qian, Yanmin Hu, Wangquan Ji, Dong Li, Peiyu Zhu, Ruonan Liang, Yuefei Jin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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

9 authors at 2 institutions in 1 country.

Zhaoke WuDepartment of Gerontology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shenshen ZhuDepartment of Gerontology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Juanfeng QianDepartment of Gerontology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanmin HuDepartment of Gerontology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wangquan JiDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Dong LiDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Peiyu ZhuDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Ruonan LiangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Yuefei JinDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNSecond Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxsackievirus A2 (CVA2) has recently been constantly detected, and is associated with viral myocarditis in children. Our previous study demonstrated that CVA2 led to heart damage in a neonatal murine model. However, the molecular mechanism of heart injury caused by CVA2 remains largely unknown. Emerging evidence suggests the significant functions of miRNAs in Coxsackievirus infection. To investigate potential miRNAs involved in heart injury caused by CVA2, our study, for the first time, conducted a RNA-seq

Indexed as

Coxsackievirus InfectionsHeart InjuriesMicroRNAsAnimalsApoptosisGene Expression ProfilingMiceRNA, MessengerMicroRNAsRNA, Messengerand mouth diseaseCoxsackievirus A2foothandmiRNAsmolecular mechanismRNA-seq

Identifiers

PMID35155276
PMCPMC8831793
OpenAlexW4210503895

What OpenQuestion holds

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LicenceCC BY
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.