孟德尔随机化
牙周病
尿
因果关系(物理学)
样品(材料)
医学
疾病
随机化
心理学
内科学
临床心理学
生理学
生物
遗传学
临床试验
化学
基因
色谱法
基因型
物理
量子力学
遗传变异
作者
Xinhai Yin,Yue Wu,Jukun Song
摘要
Abstract Background and Aims 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. Methods 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. Results 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 ( p < 0.05). This includes five metabolites in the blood and three in the urine. No metabolites were statistically significant in IVW MR models ( p < 3.68 × 10 − 4 ). 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. Conclusion 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.
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