Evidence map›Paper›PMID 34514752›Full record

ArticleJournal of Zhejiang University. Science. B

Bioinformatic analysis for potential biological processes and key targets of heart failure-related stroke.

Chiyu Liu, Sixu Chen, Haifeng Zhang, Yangxin Chen, Qingyuan Gao, Zhiteng Chen, Zhaoyu Liu, Jingfeng Wang

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B. 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The role of deubiquitinases in cardiac disease.Expert reviews in molecular medicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. A new border for circadian rhythm gene NFIL3 in diverse fields of cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Research and application advances in rehabilitation assessment of stroke.Journal of Zhejiang University. Science. B · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Chiyu LiuDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Sixu ChenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Haifeng ZhangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Yangxin ChenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Qingyuan GaoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Zhiteng ChenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
Zhaoyu LiuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China. liuzhy98@mail.sysu.edu.cn.
Jingfeng WangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China. dr_wjf@vip.163.com.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to uncover underlying mechanisms and promising intervention targets of heart failure (HF)-related stroke. HF-related dataset GSE42955 and stroke-related dataset GSE58294 were obtained from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was conducted to identify key modules and hub genes. Gene Ontology (GO) and pathway enrichment analyses were performed on genes in the key modules. Genes in HF- and stroke-related key modules were intersected to obtain common genes for HF-related stroke, which were further intersected with hub genes of stroke-related key modules to obtain key genes in HF-related stroke. Key genes were functionally annotated through GO in the Reactome and Cytoscape databases. Finally, key genes were validated in these two datasets and other datasets. HF- and stroke-related datasets each identified two key modules. Functional enrichment analysis indicated that protein ubiquitination, Wnt signaling, and exosomes were involved in both HF- and stroke-related key modules. Additionally, ten hub genes were identified in stroke-related key modules and 155 genes were identified as common genes in HF-related stroke. OTU deubiquitinase with linear linkage specificity(

Indexed as

Basic-Leucine Zipper Transcription FactorsBiological PhenomenaComputational BiologyEndopeptidasesExosomesGene OntologyHeart FailureHumansStrokeVentricular Function, LeftBasic-Leucine Zipper Transcription FactorsEndopeptidasesNFIL3 protein, humanOTULIN protein, humanBioinformaticsCardioembolic strokeHeart failureWeighted gene co-expression network analysis (WGCNA)

Identifiers

PMID34514752
PMCPMC8435344
OpenAlexW3201529291

What OpenQuestion holds

Textmetadata
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.