Impact of periodontitis on type 2 diabetes: a bioinformatic analysis

孟德尔随机化 牙周炎 医学 2型糖尿病 TCF7L2型 胰岛素抵抗 基因 生物信息学 内科学 遗传学 生物 糖尿病 内分泌学 基因型 胰岛素 单核苷酸多态性 遗传变异
作者
Xindi Wei,Xiaomeng Zhang,Ruiying Chen,Yuan Li,Yijie Yang,Ke Deng,Zheng‐zhen Cai,Yuan Li,Junyu Shi
出处
期刊:BMC Oral Health [BioMed Central]
卷期号:24 (1)
标识
DOI:10.1186/s12903-024-04408-1
摘要

Abstract Background Periodontitis is strongly associated with type 2 diabetes (T2D) that results in serious complications and mortality. However, the pathogenic role of periodontitis in the development of T2D and the underlain mechanism have not been fully elucidated. Methods A Mendelian randomization (MR) was performed to estimate the causality between two diseases. Bioinformatics tools, including gene ontology and pathway enrichment analyses, were employed to analyze the common differentially expressed genes (DEGs) in periodontitis and T2D. MR and colocalization analyses were then utilized to investigate the causal associations between potential pathogenic gene expression and the risk of T2D. Single cell-type expression analysis was further performed to detect the cellular localization of these genes. Results Genetically predicted periodontitis was associated with a higher risk of T2D (OR, 1.469; 95% CI, 1.117–1.930; P = 0.006) and insulin resistance (OR 1.034; 95%CI 1.001–1.068; P = 0.041). 79 common DEGs associated with periodontitis and T2D were then identified and demonstrated enrichment mainly in CXC receptor chemokine receptor binding and interleutin-17 signaling pathway. The integration of GWAS with the expression quantitative trait locis of these genes from the peripheral blood genetically prioritized 6 candidate genes, including 2 risk genes ( RAP2A , MCUR1 ) and 4 protective genes ( WNK1, NFIX, FOS, PANX1 ) in periodontitis-related T2D. Enriched in natural killer cells, RAP2A (OR 4.909; 95% CI 1.849–13.039; P = 0.001) demonstrated high risk influence on T2D, and exhibited strong genetic evidence of colocalization (coloc.abf-PPH4 = 0.632). Conclusions This study used a multi-omics integration method to explore causality between periodontitis and T2D, and revealed molecular mechanisms using bioinformatics tools. Periodontitis was associated with a higher risk of T2D. MCUR1 , RAP2A , FOS , PANX1 , NFIX and WNK1 may play important roles in the pathogenesis of periodontitis-related T2D, shedding light on the development of potential drug targets.
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