Evidence map›Paper›PMID 35676670›Full record

ArticleBMC medical genomics2022

Transcriptomic analysis reveals pathophysiological relationship between chronic obstructive pulmonary disease (COPD) and periodontitis.

Shuqin Liu, Yun Fu, Dirk Ziebolz, Simin Li, Gerhard Schmalz, Fan Li

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  5. The Molecular Comorbidity Network of Periodontal Disease.International journal of molecular sciences · 2024
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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

6 authors at 4 institutions in 2 countries.

Shuqin LiuDepartment of Stomatology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Aiguo Road No. 152, Nanchang, 330006, Jiangxi Province, China.
Yun FuDepartment of General Practice, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Aiguo Road No. 152, Nanchang, 330006, Jiangxi Province, China.
Dirk ZiebolzDepartment of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, 04103, Leipzig, Germany.
Simin LiStomatological Hospital, Southern Medical University, Guangzhou, 510280, Guangdong Province, China.
Gerhard Schmalz *Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, 04103, Leipzig, Germany.
Fan Li *Department of Pulmonary and Critical Care Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Aiguo Road No. 152, Nanchang, 330006, Jiangxi Province, China. fan_li@st.btbu.edu.cn.
First Affiliated Hospital of Jiangxi Medical College · CNLeipzig University · DEJiangxi Provincial People's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to detect potential crosstalk genes, pathways and immune cells between periodontitis and chronic obstructive pulmonary disease (COPD).

methodsChronic periodontitis (CP, GSE156993) and COPD (GSE42057, GSE94916) datasets were downloaded. Differential expressed genes (DEGs; p < 0.05) were assessed and screened for overlapping results, following functional pathway enrichment analyses (p < 0.05). The xCell method was used to assess immune cell infiltration relationship between CP and COPD. Features of the detected cross-talk genes were revealed using conventional Recursive Feature Elimination (RFE) algorithm in R project. Receiver-operating characteristic curves were applied to evaluate the predictive value of the genes. Furthermore, Pearson correlation analysis was performed on crosstalk markers and infiltrating immune cells in CP and COPD, respectively.

resultsA total of 904 DEGs of COPD and 763 DEGs of CP were acquired, showing 22 overlapping DEGs between the two diseases. Thereby 825 nodes and 923 edges were found in the related protein-protein-interaction network. Eight immune cell pairs were found to be highly correlated to both CP and COPD (|correlation coefficients |> 0.5 and p-value < 0.05). Most immune cells were differently expressed between COPD and CP. RFE identified three crosstalk genes, i.e. EPB41L4A-AS1, INSR and R3HDM1. In correlation analysis, INSR was positively correlated with Hepatocytes in CP (r = 0.6714, p = 0.01679) and COPD (r = 0.5209, p < 0.001). R3HDM was positively correlated with Th1 cells in CP (r = 0.6783, p = 0.0153) and COPD (r = 0.4120, p < 0.01).

conclusionEPB41L4A-AS1, INSR and R3HDM1 are potential crosstalk genes between COPD and periodontitis. R3HDM was positively correlated with Th1 cells in both diseases, while INSR was positively correlated with Hepatocytes in periodontitis and COPD, supporting a potential pathophysiological relationship between periodontitis and COPD.

Indexed as

Chronic PeriodontitisPulmonary Disease, Chronic ObstructiveGene Expression ProfilingHumansProtein Interaction MapsTranscriptomeBioinformaticsCOPDInflammationPeriodontitis

Identifiers

PMID35676670
PMCPMC9175353
OpenAlexW4282923730

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LicenceCC BY
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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.