Evidence map›Paper›PMID 36438900›Full record

ArticleDisease markers2022

Identifying Common Genes and Pathways Associated with Periodontitis and Aging by Bioinformatics Analysis.

Qi Xie, Hongyu Lv, Tianqi Wang, Jingxuan Sun, Yuekun Li, Yumei Niu, Weili Xie

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 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
0.5field-weighted citation impact, top 36% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 1 institution in 1 country.

Qi XieDepartment of Endodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0001-7982-2928
Hongyu LvDepartment of Prosthodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0001-7930-3132
Tianqi WangDepartment of Prosthodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0002-0517-9586
Jingxuan SunDepartment of Endodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0002-8737-9361
Yuekun LiDepartment of Prosthodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0001-9577-9456
Yumei NiuDepartment of Endodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0002-0312-2498
Weili XieDepartment of Prosthodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0000-0002-5030-0605
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This work used bioinformatic analysis to identify the relationship between periodontitis (PD) and aging, which could lead to new treatments for periodontal disease in the elderly. Method: Four microarray datasets were obtained from the Gene Expression Omnibus (GEO) database and analyzed in R language to identify differentially expressed genes (DEGs). The common DEGs of PD and aging were evaluated as key genes in this investigation by a Venn diagram. These common DEGs were analyzed through additional experiments and analysis, such as pathway analysis and enrichment analysis, and a network of protein-protein interactions (PPIs) was constructed. Cytoscape was used to visualize hub genes and critical modules based on the PPI network. Interaction of TF-genes and miRNAs with hub genes is identified. Result: 84 common DEGs were found between PD and aging. Cytohubba was performed on the PPI network obtained from STRING tool, and the top 10 genes (MMP2, PDGFRB, CTGF, CD34, CXCL12, VIM, IL2RG, ACTA2, COL4A2, and TAGLN) were selected as hub genes. VIM may be a potential biomarker in the analysis of linked hub gene regulatory networks, and hsa-mir-21 and hsa-mir-125b are predicted to be associated in PD and aging. Conclusion: This study investigated the key genes and pathways interactions between PD and aging, which may help reveal the correlation between PD and aging. The current research results are obtained by prediction, and follow-up biological experiments are required for further verification.

Indexed as

Computational BiologyPeriodontitisAgedAgingGene Expression ProfilingGene Regulatory NetworksHumans

Identifiers

PMID36438900
PMCPMC9691312
OpenAlexW4309263554

What OpenQuestion holds

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Registered trials

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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.