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Jin J, Guang M, Ogbuehi AC, Li S, Zhang K, Ma Y, Acharya A, Guo B, Peng Z, Liu X, Deng Y, Fang Z, Zhu X, Hua S, Li C, Haak R, Ziebolz D, Schmalz G, Liu L, Xu B, Huang X. Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis. Biomed Res Int 2021; 2021:6633563. [PMID: 33869630 PMCID: PMC8032519 DOI: 10.1155/2021/6633563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/20/2021] [Accepted: 03/09/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To investigate the genetic crosstalk mechanisms that link periodontitis and Alzheimer's disease (AD). BACKGROUND Periodontitis, a common oral infectious disease, is associated with Alzheimer's disease (AD) and considered a putative contributory factor to its progression. However, a comprehensive investigation of potential shared genetic mechanisms between these diseases has not yet been reported. METHODS Gene expression datasets related to periodontitis were downloaded from the Gene Expression Omnibus (GEO) database, and differential expression analysis was performed to identify differentially expressed genes (DEGs). Genes associated with AD were downloaded from the DisGeNET database. Overlapping genes among the DEGs in periodontitis and the AD-related genes were defined as crosstalk genes between periodontitis and AD. The Boruta algorithm was applied to perform feature selection from these crosstalk genes, and representative crosstalk genes were thus obtained. In addition, a support vector machine (SVM) model was constructed by using the scikit-learn algorithm in Python. Next, the crosstalk gene-TF network and crosstalk gene-DEP (differentially expressed pathway) network were each constructed. As a final step, shared genes among the crosstalk genes and periodontitis-related genes in DisGeNET were identified and denoted as the core crosstalk genes. RESULTS Four datasets (GSE23586, GSE16134, GSE10334, and GSE79705) pertaining to periodontitis were included in the analysis. A total of 48 representative crosstalk genes were identified by using the Boruta algorithm. Three TFs (FOS, MEF2C, and USF2) and several pathways (i.e., JAK-STAT, MAPK, NF-kappa B, and natural killer cell-mediated cytotoxicity) were identified as regulators of these crosstalk genes. Among these 48 crosstalk genes and the chronic periodontitis-related genes in DisGeNET, C4A, C4B, CXCL12, FCGR3A, IL1B, and MMP3 were shared and identified as the most pivotal candidate links between periodontitis and AD. CONCLUSIONS Exploration of available transcriptomic datasets revealed C4A, C4B, CXCL12, FCGR3A, IL1B, and MMP3 as the top candidate molecular linkage genes between periodontitis and AD.
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Affiliation(s)
- Jieqi Jin
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Mengkai Guang
- Department of Stomatology, China-Japan Friendship Hospital, Beijing 100029, China
| | | | - Simin Li
- Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, Leipzig 04103, Germany
| | - Kai Zhang
- Department of Stomatology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yihong Ma
- Department of Neurology, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Aneesha Acharya
- Dr. D Y Patil Dental College and Hospital, Dr D Y Patil Vidyapeeth, Pimpri, Pune, India
| | - Bihan Guo
- Faculty of Electrical Engineering, Information Technology, and Physics, University Braunschweig, Hans-Sommer-Str. 66, Braunschweig 38106, Germany
| | - Zongwu Peng
- Faculty of Electrical Engineering, Information Technology, and Physics, University Braunschweig, Hans-Sommer-Str. 66, Braunschweig 38106, Germany
| | - Xiangqiong Liu
- Laboratory of Molecular Cell Biology, Beijing Tibetan Hospital, China Tibetology Research Center, 218 Anwaixiaoguanbeili Street, Chaoyang, Beijing 100029, China
| | - Yupei Deng
- Laboratory of Molecular Cell Biology, Beijing Tibetan Hospital, China Tibetology Research Center, 218 Anwaixiaoguanbeili Street, Chaoyang, Beijing 100029, China
| | - Zhaobi Fang
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Xiongjie Zhu
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Shiting Hua
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Cong Li
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Rainer Haak
- Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, Leipzig 04103, Germany
| | - Dirk Ziebolz
- Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, Leipzig 04103, Germany
| | - Gerhard Schmalz
- Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr. 12, Leipzig 04103, Germany
| | - Lei Liu
- Department of Neurology, Shandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 10091 Shandong Province, China
| | - Baohua Xu
- Department of Stomatology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Xiaofeng Huang
- Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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