Evidence map›Paper›PMID 34858391›Full record

ArticleFrontiers in immunology2021

Similarity and Potential Relation Between Periimplantitis and Rheumatoid Arthritis on Transcriptomic Level: Results of a Bioinformatics Study.

Shiyi Li, Changqing Zhou, Yongqian Xu, Yujia Wang, Lijiao Li, George Pelekos, Dirk Ziebolz, Gerhard Schmalz, Zeman Qin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  5. 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

9 authors at 5 institutions in 3 countries.

Shiyi LiDepartment of Implantology, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Changqing ZhouDepartment of Emergency, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yongqian XuSouth Campus Outpatient Clinic, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yujia WangDepartment of Implantology, Department of General Dentistry, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Lijiao LiCentral Sterile Supply Department, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
George PelekosDivision of Periodontology & Implant Dentistry, Faculty of Dentistry, The University of Hong Kong, Sai Ying Pun, Hong Kong, SAR China.
Dirk ZiebolzDepartment of Cariology, Endodontology and Periodontology, University of Leipzig, Leipzig, Germany.
Gerhard SchmalzDepartment of Cariology, Endodontology and Periodontology, University of Leipzig, Leipzig, Germany.
Zeman QinDepartment of Implantology, Department of General Dentistry, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen Memorial Hospital · CNLeipzig University · DESun Yat-sen University · CNSouthern Medical University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This bioinformatics study aimed to reveal potential cross-talk genes, related pathways, and transcription factors between periimplantitis and rheumatoid arthritis (RA). Methods: The datasets GSE33774 (seven periimplantitis and eight control samples) and GSE106090 (six periimplantitis and six control samples) were included from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO). A differential expression analysis ( Results: Periimplantitis datasets included 138 common differentially expressed genes (DEGs) including 101 up- and 37 downregulated DEGs. The PPI interwork of periimplantitis comprised 1,818 nodes and 2,517 edges. The RFE method selected six features, i.e., MERTK, CD14, MAPT, CCR1, C3AR1, and FCGR2B, which had the highest prediction. Out of these feature genes, Conclusions: This current study revealed FCGR2B and CD14 as the most relevant potential cross-talk genes between RA and periimplantitis, which suggests a similarity between RA and periimplantitis and can serve as a theoretical basis for future research.

Indexed as

Arthritis, RheumatoidCell DifferentiationComputational BiologyDatasets as TopicHumansLipopolysaccharide ReceptorsModels, ImmunologicalNF-kappa BOsteoclastsPeri-ImplantitisProtein Interaction MapsReceptor Cross-TalkReceptors, IgGSignal TransductionTranscriptomeFCGR2B protein, humanLipopolysaccharide ReceptorsNF-kappa BReceptors, IgGbioinformaticsCD14cross-talk genesFCGR2Bperiimplantitisrheumatoid arthritis

Identifiers

PMID34858391
PMCPMC8630748
OpenAlexW3212961967

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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.