Evidence map›Paper›PMID 37821327›Full record

ArticleInternational dental journal2024

Identification the Low Oxidative Stress Subtype of Periodontitis.

Yuchen Wu, Xianfang Zhang, Yunong Chen, Weiting Chen, Wenhao Qian

Abstract read
In one paragraph

Article in International dental journal, 2024. 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
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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.

  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.

Yuchen WuDepartment of Prosthodontics, Shanghai Xuhui District Dental Center, Shanghai, People's Republic of China.
Xianfang ZhangDepartment of Prosthodontics, Shanghai Xuhui District Dental Center, Shanghai, People's Republic of China.
Yunong ChenDepartment of Prosthodontics, Shanghai Xuhui District Dental Center, Shanghai, People's Republic of China.
Weiting ChenDepartment of Periodontology, Shanghai Xuhui District Dental Center, Shanghai, People's Republic of China.
Wenhao QianDepartment of Oral Implantology, Shanghai Xuhui District Dental Center, Shanghai, People's Republic of China. Electronic address: pingyanlaoto@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this research was to identify the low oxidative stress-related genes expression (L-OS) subtype in patients with periodontitis.

methodsMicroarray data (MA) were retrieved from the Gene Expression Omnibus database. The different oxidative stress (OS) subtypes of periodontitis were identified by K-means clustering analysis and gene set variation analysis (GSVA). Differentially expressed genes (DEGs) (|Log fold change (FC)| >1, q < 0.05) amongst the OS subtypes and healthy controls (HCs) were identified by Limma R package. The genomic feature of L-OS subtype and corresponding medicines were evaluated and visualised with Drug-Gene Interaction Database and cytoscape-v3.7.2 software (Pearson correlation coefficient > 0.4). Finally, the LASSO-Logistic regression model was adopted to evaluate and predict patients' OS phenotype in routine clinical practice.

resultsThe 241 periodontitis samples and 69 HCs were included. Thirty-three DEGs between the L-OS and high oxidative stress-related genes expression (H-OS) subtypes and 96 DEGs, including 8 transcription factors, between L-OS subtype and HCs were identified, respectively. Then, the network of TFs-Genes-Drugs was constructed to determine genomic feature of L-OS subtype. Finally, a 4-gene signature formula and the cutoff value were identified by ML with LASSO model to predict patients' classification.

conclusionsFor the first time, we identified L-OS subtype of periodontitis and evaluated its genomic feature with MA.

Indexed as

PeriodontitisProtein Interaction MapsGene Expression ProfilingHumansOxidative StressTranscription FactorsTranscription FactorsLow oxidative stressMachine learningMicroarray dataPeriodontitisTFs-Genes-Medicines network

Identifiers

PMID37821327
PMCPMC10829343

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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.