Evidence map›Paper›PMID 37060358›Full record

ArticleClinical oral investigations2023

Transcriptome analysis of human peri-implant soft tissue and periodontal gingiva: a paired design study.

Danying Chen, Zhixin Li, Zhipeng Li, Yue Sun, Qifan Liu, Jieting Yang, Jiaying Song, Huaxiong Cai, Zhicai Feng, Zhuofan Chen and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical oral investigations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Article
  5. Cystatin SN (CST1) as a Novel Salivary Biomarker of Periodontitis.International journal of molecular sciences · 2023
    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

11 authors at 3 institutions in 1 country.

Danying Chen *Hospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Zhixin Li *Hospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Zhipeng LiHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Yue SunHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Qifan LiuHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Jieting YangHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Jiaying SongHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Huaxiong CaiHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Zhicai FengHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Zhuofan ChenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China. chzhuof@mail.sysu.edu.cn.
Baoxin HuangHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China. huangbx3@mail.sysu.edu.cn.
Sun Yat-sen University · CNStomatology Hospital · CNHospital of Stomatology, Sun Yat-sen University

Funding

Guangdong Basic and Applied Basic Research Foundation, China 2021A1515010821Guangdong Basic and Applied Basic Research Foundation, China 2021A1515110303Guangdong Financial Fund for High-Caliber Hospital Construction, China 174-2018-XMZC-0001-03-0125/D-10National Natural Science Foundation of China 81600914National Natural Science Foundation of China 81970975National Natural Science Foundation of China 82201095Science and Technology Program of Guangzhou 202102021198the Medical Science Research Foundation of Guangdong Province, China the Medical Science Research Foundation of Guangdong Province, China
6 · The paper itself

Abstract

objectivesLimited information is available about the biological characterization of peri-implant soft tissue at the transcriptional level. The aim of this study was to investigate the effect of dental implant on the soft tissue in vivo by using paired samples and compare the differences between peri-implant soft tissue and periodontal gingiva at the transcriptional level.

methodsPaired peri-implant soft tissue and periodontal gingiva tissue from 6 patients were obtained, and the pooled RNAs were analyzed by deep sequencing. Venn diagram was used to further screen out differentially expressed genes in every pair of samples. Annotation and enrichment analysis was performed. Further verification was done by quantitative real-time PCR.

resultsTotally 3549 differentially expressed genes (DEGs) were found between peri-implant and periodontal groups. The Venn diagram further identified 185 DEGs in every pair of samples, of which the enrichment analysis identified significant enrichment for cellular component was associated with external side of plasma membrane, for molecular function was protein binding, for biological process was immune system process, and for KEGG pathway was cytokine-cytokine receptor interaction. Among the DEGs, CST1, SPP1, AQP9, and SFRP2 were verified to be upregulated in peri-implant soft tissue.

conclusionsPeri-implant soft tissue showed altered expressions of several genes related to the cell-ECM interaction compared to periodontal gingiva. CLINICAL RELEVANCE: Compared to periodontal gingiva, altered cell-ECM interactions in peri-implant may contribute to the susceptibility of peri-implant diseases. At the transcriptional level, periodontal gingiva is generally considered the appropriate control for peri-implantitis, except regarding the cell-ECM interactions.

Indexed as

Dental ImplantsPeri-ImplantitisDental Implantation, EndosseousGene Expression ProfilingGingivaHumansPeriodontiumDental ImplantsExtracellular matrixPeri-implantSoft tissueTranscriptome sequencing

Identifiers

PMID37060358
OpenAlexW4365810799

What Socratic 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 Socratic graph.