Exploration of cross-talk and pyroptosis-related gene signatures and molecular mechanisms between periodontitis and diabetes mellitus via peripheral blood mononuclear cell microarray data analysis

作者全名："Chen, Hang; Peng, Limin; Wang, Zhenxiang; He, Yujuan; Tang, Song; Zhang, Xiaonan"

作者地址："[Chen, Hang; Peng, Limin; Wang, Zhenxiang; Tang, Song; Zhang, Xiaonan] Chongqing Med Univ, Coll Stomatol, Chongqing, Peoples R China; [Chen, Hang; Peng, Limin; Wang, Zhenxiang; Tang, Song; Zhang, Xiaonan] Chongqing Municipal Key Lab Oral Biomed Engn Highe, Chongqing, Peoples R China; [Chen, Hang; Peng, Limin; Wang, Zhenxiang; Tang, Song; Zhang, Xiaonan] Chongqing Key Lab Oral Dis & Biomed Sci, Chongqing, Peoples R China; [He, Yujuan] Chongqing Med Univ, Dept Lab Med, Key Lab Diagnost Med, Minist Educ, Chongqing, Peoples R China; [Zhang, Xiaonan] Chongqing Med Univ, Coll Stomatol, 426 Sunshine Rd, Chongqing, Peoples R China"

通信作者："Zhang, XA (通讯作者)，Chongqing Med Univ, Coll Stomatol, 426 Sunshine Rd, Chongqing, Peoples R China."

来源：CYTOKINE

ESI学科分类：MOLECULAR BIOLOGY & GENETICS

WOS号：WOS:000864492300005

JCR分区：Q3

影响因子：3.8

年份：2022

卷号：159

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Pyroptosis; Cross-talk; Periodontitis; Diabetes mellitus; Bioinformatics

摘要："Objectives: This bioinformatics study is aimed at identifying cross-talk genes, pyroptosis-related genes, and related pathways between periodontitis (PD) and diabetes mellitus (DM), which includes type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Methods: GEO datasets containing peripheral blood mononuclear cell (PBMC) data of PD and DM were acquired. After batch correction and normalization, differential expression analysis was performed to identify the differentially expressed genes (DEGs). And cross-talk genes in the PD-T1DM pair and the PD-T2DM pair were identified by overlapping DEGs with the same trend in each pair. The weighted gene coexpression network analysis (WGCNA) algorithm helped locate the pyroptosis-related genes that are related to cross-talk genes. Receiver-operating characteristic (ROC) curve analysis confirmed the predictive accuracy of these hub genes in diagnosing PD and DM. The correlation between hub genes and the immune microenvironment of PBMC in these diseases was investigated by Spearman correlation analysis. The experimentally validated protein-protein interaction (PPI) and gene-pathway network were constructed. Subnetwork analysis helped identify the key pathway connecting DM and PD. Results: Hub genes in the PD-T1DM pair (HBD, NLRC4, AIM2, NLRP2) and in the PD-T2DM pair (HBD, IL-1B, AIM2, NLRP2) were identified. The similarity and difference in the immunocytes infiltration levels and immune pathway scores of PD and DM were observed. ROC analysis showed that AIM2 and HBD exhibited pleasant discrimination ability in all diseases, and the subnetwork of these genes indicated that the NOD-like receptor signaling pathway is the most potentially relevant pathway linking PD and DM. Conclusion: HBD and AIM2 could be the most relevant potential cross-talk and pyroptosis-related genes, and the NOD-like receptor signaling pathway could be the top candidate molecular mechanism linking PD and DM, supporting a potential pathophysiological relationship between PD and DM."

基金机构：National Natural ScienceFoundation of China [81700982]; Chongqing Medical Reserve Talent Studio for Young People [ZQNYXGDRCGZS2019004]

基金资助正文：Funding This work was financially supported by the National Natural ScienceFoundation of China [Grant No 81700982] ; the Chongqing Medical Reserve Talent Studio for Young People [grant number ZQNYXGDRCGZS2019004] .