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Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level

Periodontitis is a common chronic inflammatory disease of periodontal tissue, mostly concentrated in people over 30 years old. Statistics show that compared with foreign countries, the prevalence of periodontitis in China is as high as 40%, and the prevalence of periodontal disease is more than 90%,...

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Autores principales: He, Longfei, Liu, Lijuan, Li, Ti, Zhuang, Deshu, Dai, Jiayin, Wang, Bo, Bi, Liangjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033214/
https://www.ncbi.nlm.nih.gov/pubmed/33841510
http://dx.doi.org/10.3389/fgene.2021.653209
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author He, Longfei
Liu, Lijuan
Li, Ti
Zhuang, Deshu
Dai, Jiayin
Wang, Bo
Bi, Liangjia
author_facet He, Longfei
Liu, Lijuan
Li, Ti
Zhuang, Deshu
Dai, Jiayin
Wang, Bo
Bi, Liangjia
author_sort He, Longfei
collection PubMed
description Periodontitis is a common chronic inflammatory disease of periodontal tissue, mostly concentrated in people over 30 years old. Statistics show that compared with foreign countries, the prevalence of periodontitis in China is as high as 40%, and the prevalence of periodontal disease is more than 90%, which must arouse our great attention. Diagnosis and treatment of periodontitis currently rely mainly on clinical criteria, and the exploration of the etiologic criteria is relatively lacking. We, therefore, have explored the pathogenesis of periodontitis from the perspective of immune imbalance. By predicting the fraction of 22 immune cells in periodontitis tissues and comparing them with normal tissues, we found that multiple immune cell infiltration in periodontitis tissues was inhibited and this feature can clearly distinguish periodontitis from normal tissues. Further, protein interaction network (PPI) and transcription regulation network have been constructed based on differentially expressed genes (DEGs) to explore the interaction function modules and regulation pathways. Three functional modules have been revealed and top TFs such as EGR1 and ETS1 have been shown to regulate the expression of periodontitis-related immune genes that play an important role in the formation of the immunosuppressive microenvironment. The classifier was also used to verify the reliability of periodontitis features obtained at the cellular and molecular levels. In conclusion, we have revealed the immune microenvironment and molecular characteristics of periodontitis, which will help to better understand the mechanism of periodontitis and its application in clinical diagnosis and treatment.
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spelling pubmed-80332142021-04-10 Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level He, Longfei Liu, Lijuan Li, Ti Zhuang, Deshu Dai, Jiayin Wang, Bo Bi, Liangjia Front Genet Genetics Periodontitis is a common chronic inflammatory disease of periodontal tissue, mostly concentrated in people over 30 years old. Statistics show that compared with foreign countries, the prevalence of periodontitis in China is as high as 40%, and the prevalence of periodontal disease is more than 90%, which must arouse our great attention. Diagnosis and treatment of periodontitis currently rely mainly on clinical criteria, and the exploration of the etiologic criteria is relatively lacking. We, therefore, have explored the pathogenesis of periodontitis from the perspective of immune imbalance. By predicting the fraction of 22 immune cells in periodontitis tissues and comparing them with normal tissues, we found that multiple immune cell infiltration in periodontitis tissues was inhibited and this feature can clearly distinguish periodontitis from normal tissues. Further, protein interaction network (PPI) and transcription regulation network have been constructed based on differentially expressed genes (DEGs) to explore the interaction function modules and regulation pathways. Three functional modules have been revealed and top TFs such as EGR1 and ETS1 have been shown to regulate the expression of periodontitis-related immune genes that play an important role in the formation of the immunosuppressive microenvironment. The classifier was also used to verify the reliability of periodontitis features obtained at the cellular and molecular levels. In conclusion, we have revealed the immune microenvironment and molecular characteristics of periodontitis, which will help to better understand the mechanism of periodontitis and its application in clinical diagnosis and treatment. Frontiers Media S.A. 2021-03-26 /pmc/articles/PMC8033214/ /pubmed/33841510 http://dx.doi.org/10.3389/fgene.2021.653209 Text en Copyright © 2021 He, Liu, Li, Zhuang, Dai, Wang and Bi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
He, Longfei
Liu, Lijuan
Li, Ti
Zhuang, Deshu
Dai, Jiayin
Wang, Bo
Bi, Liangjia
Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title_full Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title_fullStr Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title_full_unstemmed Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title_short Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level
title_sort exploring the imbalance of periodontitis immune system from the cellular to molecular level
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033214/
https://www.ncbi.nlm.nih.gov/pubmed/33841510
http://dx.doi.org/10.3389/fgene.2021.653209
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