Evidence map›Paper›PMID 35059464›Full record

ArticleBioMed research international2022

Identification of Key Genes Associated with Endothelial Cell Dysfunction in Atherosclerosis Using Multiple Bioinformatics Tools.

Guofu Zhang, Hui Yu, Jingjing Su, Chao Chi, Lide Su, Fenglin Wang, Ying Zheng, Baodong Xie, Kai Kang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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 1 institution in 1 country.

Guofu ZhangDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0003-4211-2169
Hui YuDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0001-7232-968X
Jingjing SuDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0003-4954-7819
Chao ChiDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0001-5901-5061
Lide SuDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0003-3701-8477
Fenglin WangDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0001-6661-7052
Ying ZhengDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0001-7774-5084
Baodong XieDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0003-4414-0761
Kai KangDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0002-9802-2309
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is the most notable cardiovascular disease, the latter being the main cause of death globally. Endothelial cell dysfunction plays a major role in the pathogenesis of atherosclerosis. However, it is currently unclear which genes are involved between endothelial cell dysfunction and atherosclerosis. This study was aimed at identifying these genes. Based on the GSE83500 dataset, the quantification of endothelial cell function was conducted using single-sample gene set enrichment analysis; the coexpression modules were conducted using weighted correlation network analysis. After building module-trait relationships, tan and yellow modules were regarded as hub modules. 10 hub genes from each hub module were identified by the protein-protein interaction network analysis. The key genes (

Indexed as

AtherosclerosisDatabases, GeneticGene Expression RegulationCell LineComputational BiologyEndothelial CellsHumans

Identifiers

PMID35059464
PMCPMC8764276
OpenAlexW4205795395

What OpenQuestion holds

Textmetadata
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.