Yin Xinhai, Wu Yadong, Song Jukun
Department of Oral and Maxillofacial Surgery Guizhou Provincial People's Hospital Guiyang China.
Department of Oral and Maxillofacial Surgery The Affiliated Stomatological Hospital of Guizhou Medical University Guiyang China.
Health Sci Rep. 2024 Mar 10;7(3):e1895. doi: 10.1002/hsr2.1895. eCollection 2024 Mar.
The aim is to investigate the cause-and-effect connection between metabolites found in blood/urine and the likelihood of developing periodontal disease (PD) through the utilization of a two-sample Mendelian randomization (MR) method.
Using an inverse variance weighted (IVW) method and two additional two-sample MR models, we examined the relationship between blood/urine metabolites and PD by analyzing data from a comprehensive metabolome-based genome-wide association study and the Genome-Wide Association Studies (GWAS) of PD. To assess the consistency and dependability of the findings, diversity, cross-effects, and sensitivity analyses were conducted.
Out of the 35 metabolites found in blood and urine, a total of eight metabolites (C-reactive protein, Potassium in urine, Urea, Cystatin C, Non-albumin protein, Creatinine, estimated Glomerular Filtration Rate, and Phosphate) displayed a possible causal connection with the risk of dental caries/PD using the inverse variance weighted (IVW) method ( < 0.05). This includes five metabolites in the blood and three in the urine. No metabolites were statistically significant in IVW MR models ( < 3.68 × 10 ). Even after conducting sensitivity analysis with the leave-one-out method and removing the confounding instrumental variables, the impact of these factors on dental caries/PD remained significant.
Based on the available evidence, it is not possible to establish a significant causal link between the 35 blood metabolites and the likelihood of developing dental caries and PD.
目的是通过运用两样本孟德尔随机化(MR)方法,研究血液/尿液中发现的代谢物与患牙周病(PD)可能性之间的因果关系。
我们使用逆方差加权(IVW)方法和另外两个两样本MR模型,通过分析基于代谢组的全基因组关联研究数据以及PD的全基因组关联研究(GWAS)数据,来研究血液/尿液代谢物与PD之间的关系。为评估研究结果的一致性和可靠性,进行了多样性、交叉效应和敏感性分析。
在血液和尿液中发现的35种代谢物中,共有8种代谢物(C反应蛋白、尿钾、尿素、胱抑素C、非白蛋白蛋白、肌酐、估计肾小球滤过率和磷酸盐)使用逆方差加权(IVW)方法显示出与龋齿/PD风险可能存在因果关系(<0.05)。其中包括血液中的5种代谢物和尿液中的3种代谢物。在IVW MR模型中没有代谢物具有统计学意义(<3.68×10)。即使采用留一法进行敏感性分析并去除混杂的工具变量后,这些因素对龋齿/PD的影响仍然显著。
基于现有证据,无法在35种血液代谢物与患龋齿和PD的可能性之间建立显著的因果联系。