Evidence map›Paper›PMID 36151748›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2023

Identification of key genes involved in calcific aortic valve disease based on integrated bioinformatics analysis.

Ye-Hong Liu, Yang Liu, Yuan-Feng Xin, Qi Zhang, Meng-Lei Ding

Open access · greenAbstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Ye-Hong LiuDepartment of Cardiology, Shanghai East Hospital, Shanghai Tongji University School of Medicine, Shanghai 200120, China.
Yang LiuDepartment of Intensive Care Unit, Shanghai East Hospital, Shanghai Tongji University School of Medicine, Shanghai 200120, China.
Yuan-Feng XinDepartment of Cardiovascular Surgery, Shanghai East Hospital, Shanghai Tongji University School of Medicine, Shanghai 200120, China.
Qi ZhangDepartment of Cardiology, Shanghai East Hospital, Shanghai Tongji University School of Medicine, Shanghai 200120, China.
Meng-Lei DingDepartment of Clinical Laboratory, Shanghai East Hospital, Shanghai Tongji University School of Medicine, Shanghai 200120, China.ORCID 0000-0002-8680-9112
Shanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The calcific aortic valve disease (CAVD) develops as an aortic valve sclerosis and progresses to an advanced form of stenosis. In many biological fields, bioinformatics becomes a fundamental component. The key mechanisms involved in CAVD are discovered with the use of bioinformatics to investigate gene function and pathways. We downloaded the original data (GSE51472) from the Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/). After standardization, 2978 differentially expressed genes (DEGs) were identified from the data sets GSE51472 containing samples from normal, calcified, and sclerotic aortic valves. Analysis of DEGs based on the series test of clusters (STCs) revealed the two most significant patterns. Based on the result of the STC, the functional enrichment analysis of gene ontology (GO) was conducted to investigate the molecular function (MF), biological process (BP), and cell compound (CC) of the DEGs. With a

Indexed as

Aortic ValveAortic Valve StenosisCalcinosisComputational BiologyGene Expression ProfilingHumansPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesCalcific aortic valve diseasedifferent expressing geneshub genespathogenesispathway-network

Identifiers

PMID36151748
PMCPMC9989152
OpenAlexW4296918269

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.