Immune Landscape of Periodontitis Unveils Alterations of Infiltrating Immunocytes and Molecular Networks-aggregating into an Interactive Web-tool for Periodontitis Related Immune Analysis and Visualization

Overview

Journal J Transl Med

Publisher Biomed Central

Specialties Biomedical Engineering
General Medicine

Date 2020 Nov 19

PMID 33208145

Citations 6

Authors

Xiaoqi Zhang

Qingxuan Wang

Xinyu Yan

Yue Shan

Lu Xing

Minqi Li

Hu Long

Wenli Lai

Affiliations

Soon will be listed here.

Abstract

Background: Immunity reaction plays an essential role in periodontitis progress and we aim to investigate the underlying regulatory network of immune reactions in periodontitis.

Methods: CIBERSORT was used to estimate immunocyte fractions in different clinical statuses. Logistic regression was used to assess the immunocyte weight in periodontitis. Immune-related periodontitis subtypes were identified by the Nonnegative Matrix Factorization algorithm. Gene-set enrichment analysis and Gene-set variation analysis were conducted to analyze pathway activities. Immunocytes related gene modules were identified by Weighted gene co-expression network analysis.

Results: Altered immunocytes in healthy versus periodontitis, aggressive versus chronic, male versus female and age were identified. Immunocytes enriched in periodontitis were calculated, and their correlation was also explored. Two distinct immune-related periodontitis subtypes were identified and one is characterized by B cell reactions and the other is IL-6 cytokine reactions. 463 statistically significant correlations between 22 immunocytes and pathways were revealed. Immunocytes and clinical phenotypes matched their gene modules, and their functions were annotated. Last, an easy-to-use and user-friendly interactive web-tool were developed for periodontitis related immune analysis and visualization ( https://118.24.100.193:3838/tool-PIA/ ).

Conclusions: This study systematically investigated periodontitis immune atlas and caught a glimpse of the underlying mechanism of periodontitis from gene-pathway-immunocyte networks, which can not only inspire researchers but also help them in periodontitis related immune researches.

Citing Articles

Exploring the Potential of Micro-Immunotherapy in the Treatment of Periodontitis.

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Sema3A Drives Alternative Macrophage Activation in the Resolution of Periodontitis via PI3K/AKT/mTOR Signaling.

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Identification of Endoplasmic Reticulum Stress-Related Biomarkers of Periodontitis Based on Machine Learning: A Bioinformatics Analysis.

Zhang Q, Jiao Y, Ma N, Zhang L, Song Y Dis Markers. 2022; 2022:8611755.

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Yang F, Kong J, Zong Y, Li Z, Lyu M, Li W Front Immunol. 2022; 13:897835.

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MicroRNAs: Harbingers and shapers of periodontal inflammation.

Luan X, Zhou X, Fallah P, Pandya M, Lyu H, Foyle D Semin Cell Dev Biol. 2021; 124:85-98.

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