Ding Zhixiang, Wu Liting, Xu Ting, Zhang Cui, Liang Yi, Li Jia, Zhuang Wenfang
Medical Laboratory, Shidong Hospital Affiliated to University of Shanghai for Science and Technology Shanghai 200438, China.
Am J Clin Exp Immunol. 2024 Aug 25;13(4):177-186. doi: 10.62347/UTEW4812. eCollection 2024.
Gout is closely tied to metabolism, yet there is limited evidence on how metabolites may cause or prevent the condition.
This study utilized a two-sample Mendelian randomization (MR) analysis to evaluate the causal relationship between 1,400 serum metabolites and gout. We primarily employed the inverse variance-weighted (IVW) method to estimate causal effects, supplemented by MR-Egger regression, weighted median, simple mode, and weighted mode for comprehensive evaluations. Additionally, we conducted tests for pleiotropy and heterogeneity.
After a rigorous selection process, we identified eight known metabolites and four unknown metabolites associated with gout. Among the eight known metabolites, Glucuronide of piperine metabolite C17H21NO3 and the Phosphate to mannose ratio were positively associated with an increased risk of gout. Conversely, levels of 5 alpha-androstan-3 beta, 17 alpha-diol disulfate, Pantoate, N-carbamoylalanine, Sphingomyelin (d18:0/20:0, d16:0/22:0), Hydroxypalmitoyl sphingomyelin (d18:1/16:0(OH)), and Mannose were linked to a decreased risk of gout.
This study identified eight metabolites from 1,400 blood samples significantly linked to gout risk. Integrating genomics and metabolomics offers valuable insights for gout screening and prevention, indicating that specific blood metabolites can help identify individuals at higher risk.
痛风与新陈代谢密切相关,但关于代谢物如何导致或预防该病症的证据有限。
本研究采用两样本孟德尔随机化(MR)分析来评估1400种血清代谢物与痛风之间的因果关系。我们主要采用逆方差加权(IVW)方法来估计因果效应,并辅以MR-Egger回归、加权中位数、简单模式和加权模式进行综合评估。此外,我们还进行了多效性和异质性检验。
经过严格筛选,我们确定了8种已知代谢物和4种与痛风相关的未知代谢物。在这8种已知代谢物中,胡椒碱代谢物C17H21NO3的葡糖醛酸苷和磷酸与甘露糖的比率与痛风风险增加呈正相关。相反,5α-雄甾烷-3β,17α-二醇二硫酸盐、泛酸盐、N-氨甲酰丙氨酸、鞘磷脂(d18:0/20:0,d16:0/22:0)、羟基棕榈酰鞘磷脂(d18:1/16:0(OH))和甘露糖的水平与痛风风险降低有关。
本研究从1400份血样中鉴定出8种与痛风风险显著相关的代谢物。整合基因组学和代谢组学为痛风筛查和预防提供了有价值的见解,表明特定的血液代谢物有助于识别高风险个体。