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Open Access 01-12-2021 | Alzheimer's Disease | Research

Association between chronic periodontitis and the risk of Alzheimer’s disease: combination of text mining and GEO dataset

Authors: Zhengye Jiang, Yanxi Shi, Wenpeng Zhao, Liwei Zhou, Bingchang Zhang, Yuanyuan Xie, Yaya Zhang, Guowei Tan, Zhanxiang Wang

Published in: BMC Oral Health | Issue 1/2021

Abstract

Background

Although chronic periodontitis has previously been reported to be linked with Alzheimer's disease (AD), the pathogenesis between the two is unclear. The purpose of this study is to analyze and screen the relevant and promising molecular markers between chronic periodontitis and Alzheimer's disease (AD).

Methods

In this paper, we analyzed three AD expression datasets and extracted differentially expressed genes (DEGs), then intersected them with chronic periodontitis genes obtained from text mining, and finally obtained integrated DEGs. We followed that by enriching the matching the matching cell signal cascade through DAVID analysis. Moreover, the MCODE of Cytoscape software was employed to uncover the protein–protein interaction (PPI) network and the matching hub gene. Finally, we verified our data using a different independent AD cohort.

Results

The chronic periodontitis gene set acquired from text abstracting was intersected with the previously obtained three AD groups, and 12 common genes were obtained. Functional enrichment assessment uncovered 12 cross-genes, which were mainly linked to cell morphogenesis involved in neuron differentiation, leading edge membrane, and receptor ligand activity. After PPI network creation, the ten hub genes linked to AD were retrieved, consisting of SPP1, THY1, CD44, ITGB1, HSPB3, CREB1, SST, UCHL1, CCL5 and BMP7. Finally, the function terms in the new independent dataset were used to verify the previous dataset, and we found 22 GO terms and one pathway, "ECM-receptor interaction pathways", in the overlapping functional terms.

Conclusions

The establishment of the above-mentioned candidate key genes, as well as the enriched signaling cascades, provides promising molecular markers for chronic periodontitis-related AD, which may help the diagnosis and treatment of AD patients in the future.

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Title: Association between chronic periodontitis and the risk of Alzheimer’s disease: combination of text mining and GEO dataset
Authors: Zhengye Jiang
Yanxi Shi
Wenpeng Zhao
Liwei Zhou
Bingchang Zhang
Yuanyuan Xie
Yaya Zhang
Guowei Tan
Zhanxiang Wang
Publication date: 01-12-2021
Publisher: BioMed Central
Keywords: Alzheimer's Disease
Alzheimer's Disease
Published in: BMC Oral Health / Issue 1/2021
Electronic ISSN: 1472-6831
DOI: https://doi.org/10.1186/s12903-021-01827-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Association between chronic periodontitis and the risk of Alzheimer’s disease: combination of text mining and GEO dataset

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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