Han Kaichen, Chu Huaizhu, Li Yongwen, Zhang Hengheng, Liu Haigang, Wu Guangzhi, Xu Jianguo
Qinghai University, Xining, China.
Department of Surgical Oncology, Qinghai Provincial People's Hospital, Xining, China.
Medicine (Baltimore). 2025 Jul 18;104(29):e43448. doi: 10.1097/MD.0000000000043448.
Recent observational studies show a correlation between serum uric acid (SUA) levels and colorectal and gastric cancers (CRC and GC). It is unclear, nevertheless, what the biological mechanisms and causation of these connections are. Using summary data from the genome-wide association study, we analyzed 2-sample Mendelian randomization (MR). Inverse-variance weighted (IVW) was the main technique for determining causality. The weighted median, weighted mode, MR-Egger, Wald ratio, and IVW were employed to investigate the causal link between SUA and GC/CRC. To evaluate weak instrumental variable (IV) bias, F-statistics were computed. Using MR-PRESSO, outliers were found and removed. Cochran Q test, MR-Egger test, and leave-one-out approach were employed to find heterogeneity and stability in MR results. Ultimately, bioinformatics investigations were carried out to investigate plausible biological pathways linking GC/CRC and SUA. According to IVW data, SUA dramatically lowered the chance of GC (OR = 0.804, 95% Cl: 0.700-0.922, P = .002). There was no discernible cause-and-effect connection between SUA and CRC (OR = 0.999, 95% Cl: 0.997-1.000, P = .080). Furthermore, the reliability of the multiple validity and heterogeneity tests demonstrated the validity of the MR data. A total of 10 hub genes were found, with the majority of them being enriched in the AMPK signaling pathway, lipid metabolism, glucose metabolism, and cholesterol metabolism. This study indicates that SUA lowers the chance of developing GC, regardless of the risk of acquiring CRC. The link between SUA and GC could be due to several metabolic processes.
近期的观察性研究表明,血清尿酸(SUA)水平与结直肠癌和胃癌(CRC和GC)之间存在相关性。然而,这些关联的生物学机制和因果关系尚不清楚。我们使用全基因组关联研究的汇总数据,分析了两样本孟德尔随机化(MR)。逆方差加权(IVW)是确定因果关系的主要技术。采用加权中位数、加权众数、MR-Egger、 Wald比率和IVW来研究SUA与GC/CRC之间的因果联系。为评估弱工具变量(IV)偏差,计算了F统计量。使用MR-PRESSO发现并去除了异常值。采用Cochran Q检验、MR-Egger检验和留一法来发现MR结果中的异质性和稳定性。最终,进行了生物信息学研究,以探究连接GC/CRC和SUA的可能生物学途径。根据IVW数据,SUA显著降低了患GC的几率(OR = 0.804,95%Cl:0.700 - 0.922,P = 0.002)。SUA与CRC之间没有明显的因果关系(OR = 0.999,95%Cl:0.997 - 1.000,P = 0.080)。此外,多种有效性和异质性检验的可靠性证明了MR数据的有效性。共发现10个枢纽基因,其中大多数富集于AMPK信号通路、脂质代谢、葡萄糖代谢和胆固醇代谢。本研究表明,无论患CRC的风险如何,SUA都会降低患GC的几率。SUA与GC之间的联系可能归因于多种代谢过程。