Evidence map›Paper›PMID 36045361›Full record

ArticleBMC oral health2022

Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network.

Quanquan Zhao, Jing Wen, Xiangying Ouyang, Jianru Liu, Wenyi Liu, Shengnan Zhang, Peiying Lv, Xinzhe Lou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC oral health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Transcription-based comparison ofMicrobiology spectrum · 2026
    Article
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Quanquan ZhaoDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Jing WenDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Xiangying OuyangDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China. kqouyangxy@bjmu.edu.cn.
Jianru LiuDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Wenyi LiuDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Shengnan ZhangDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Peiying LvDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Xinzhe LouDepartment of Periodontology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, School and Hospital of Stomatology, Peking University, 22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, People's Republic of China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn periodontitis, noncoding RNAs may play a regulatory role in the immune microenvironment through competitive endogenous RNA. We aimed to profile noncoding RNA expression and construct immune-related ceRNA network in periodontitis.

methodsFive inflamed periodontal tissue and five healthy gingivae were collected for whole-transcriptome sequencing. Differential gene, functional enrichment, and protein-protein interaction network analysis were performed to explore the function of differentially expressed genes. CIBERSORTx was used to analyze level of immune cell infiltration in the periodontal tissue. An immune-related competitive endogenous RNA network was constructed and expression of key regulators in the network was validated.

resultsCompared with healthy gingiva, 200 mRNAs, 90 long noncoding RNAs, 65 microRNAs, and 518 circular RNAs were differentially expressed, and cell chemotaxis was significantly enhanced in inflamed periodontal tissue. Immune cell infiltration analysis showed that neutrophils, macrophages M1, T follicular helper cells, and naive B cells were significantly increased in periodontitis. Key regulators including JUN, FOS, THBS1, KLF2, WIF1, were identified and their expression was then validated.

conclusionWe constructed an immune-related competitive endogenous RNA network in periodontal tissue, which provided new insights into immune homeostasis in periodontitis and laid a foundation for further study of noncoding RNAs. Key regulators in this network may be promising targets for future periodontitis treatment.

Indexed as

Gene Regulatory NetworksMicroRNAsPeriodontitisRNA, Long NoncodingGene Expression ProfilingHumansMicroRNAsRNA, Long NoncodingGene expression profilingImmunomodulationNoncoding RNAPeriodontitisRNA-seq

Identifiers

PMID36045361
PMCPMC9429583
OpenAlexW4293748221

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.