Evidence map›Paper›PMID 38491529›Full record

ArticleJournal of translational medicine2024

OralExplorer: a web server for exploring the mechanisms of oral inflammatory diseases.

Weiyin Lin, Hong Yang, Jiayu Lin, Xia Yang, Zhihao Liao, Yifan Zheng, Peng Luo, Chufeng Liu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

8 authors.

Weiyin Lin *Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Hong Yang *The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jiayu LinStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Xia YangStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Zhihao LiaoStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Yifan ZhengStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China.
Peng LuoThe Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. luopeng@smu.edu.cn.
Chufeng LiuStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, China. xyzmmok@smu.edu.cn.

Funding

National Natural Science Foundation of China 82371001
6 · The paper itself

Abstract

backgroundOral inflammatory diseases are localized infectious diseases primarily caused by oral pathogens with the potential for serious systemic complications. However, publicly available datasets for these diseases are underutilized. To address this issue, a web tool called OralExplorer was developed. This tool integrates the available data and provides comprehensive online bioinformatic analysis.

methodsHuman oral inflammatory disease-related datasets were obtained from the GEO database and normalized using a standardized process. Transcriptome data were then subjected to differential gene expression analysis, immune infiltration analysis, correlation analysis, pathway enrichment analysis, and visualization. The single-cell sequencing data was visualized as cluster plot, feature plot, and heatmaps. The web platform was primarily built using Shiny. The biomarkers identified in OralExplorer were validated using local clinical samples through qPCR and IHC.

resultsA total of 35 human oral inflammatory disease-related datasets, covering 6 main disease types and 901 samples, were included in the study to identify potential molecular signatures of the mechanisms of oral diseases. OralExplorer consists of 5 main analysis modules (differential gene expression analysis, immune infiltration analysis, correlation analysis, pathway enrichment analysis and single-cell analysis), with multiple visualization options. The platform offers a simple and intuitive interface, high-quality images for visualization, and detailed analysis results tables for easy access by users. Six markers (IL1β, SRGN, CXCR1, FGR, ARHGEF2, and PTAFR) were identified by OralExplorer. qPCR- and IHC-based experimental validation showed significantly higher levels of these genes in the periodontitis group.

conclusionsOralExplorer is a comprehensive analytical platform for oral inflammatory diseases. It allows users to interactively explore the molecular mechanisms underlying the action and regression of these diseases. It also aids dental researchers in unlocking the potential value of transcriptomics data related to oral diseases. OralExplorer can be accessed at https://smuonco.shinyapps.io/OralExplorer/  (Alternate URL: http://robinl-lab.com/OralExplorer ).

Indexed as

Computational BiologySoftwareDatabases, FactualGene Expression ProfilingHumansRho Guanine Nucleotide Exchange FactorsTranscriptomeARHGEF2 protein, humanRho Guanine Nucleotide Exchange FactorsBioinformatic analysesMechanismOral diseaseShinyWeb tool

Identifiers

PMID38491529
PMCPMC10943789

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.