Li Xiaocheng, Lin Huapeng, Peng Jing, Gong Jianping
Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of General Surgery, The First Affiliated Hospital of Hunan University of Medicine, Huaihua, Hunan, China.
Front Cell Infect Microbiol. 2025 Jan 7;14:1453286. doi: 10.3389/fcimb.2024.1453286. eCollection 2024.
Prior studies have established correlations between gut microbiota (GM) dysbiosis, circulating metabolite alterations, and gastric cancer (GC) risk. However, the causal nature of these associations remains uncertain.
We utilized summary data from genome-wide association studies (GWAS) on GM (European, n=8,956), blood metabolites (European, n=120,241; East Asian, n=4,435), and GC (European, n=476,116; East Asian, n=167,122) to perform a bidirectional Mendelian randomization (MR) analysis, investigating the causal effects of GM and metabolites on GC risk. Additionally, we conducted mediation analysis (two-step MR) to identify potential metabolite mediators in the GM-GC relationship.
We identified twelve negative and seven positive associations between specific GM taxa and GC risk. For blood metabolites, seven traits were found to be significantly associated with reduced GC risk in the European population, with these findings subsequently validated in the East Asian cohort. Three GM taxa showed potential causal associations with five metabolic traits: the class and order were positively correlated with five metabolites (all < 0.013), while OTU97_27 exhibited a negative correlation with one metabolite ( = 0.007). Two-step MR analysis indicated that total lipids in intermediate-density lipoprotein (IDL), IDL particle concentration, phospholipids in medium low-density lipoprotein (LDL), phospholipids in small LDL, and free cholesterol in small LDL indirectly influenced the association between class/ order and GC, with mediation proportions of 1.71% ( = 0.048), 1.69% ( = 0.048), 2.05% ( = 0.045), 1.85% ( = 0.048), and 1.99% ( = 0.045), respectively.
The present study provides suggestive evidence of a causal relationship between specific GM, blood metabolites, and GC risk, potentially offering new insights into GC etiology.
先前的研究已经确定了肠道微生物群(GM)失调、循环代谢物改变与胃癌(GC)风险之间的相关性。然而,这些关联的因果性质仍不确定。
我们利用了全基因组关联研究(GWAS)关于GM(欧洲人,n = 8956)、血液代谢物(欧洲人,n = 120241;东亚人,n = 4435)和GC(欧洲人,n = 476116;东亚人,n = 167122)的汇总数据,进行双向孟德尔随机化(MR)分析,研究GM和代谢物对GC风险的因果效应。此外,我们进行了中介分析(两步MR),以确定GM与GC关系中的潜在代谢物中介。
我们确定了特定GM分类群与GC风险之间的12个负相关和7个正相关。对于血液代谢物,在欧洲人群中发现7个特征与降低的GC风险显著相关,这些发现随后在东亚队列中得到验证。三个GM分类群显示出与五个代谢特征的潜在因果关联:纲和目与五种代谢物呈正相关(所有P < 0.013),而OTU97_27与一种代谢物呈负相关(P = 0.007)。两步MR分析表明,中间密度脂蛋白(IDL)中的总脂质、IDL颗粒浓度、中低密度脂蛋白(LDL)中的磷脂、小LDL中的磷脂和小LDL中的游离胆固醇间接影响纲/目与GC之间的关联,中介比例分别为1.71%(P = 0.048)、1.69%(P = 0.048)、2.05%(P = 0.045)、1.85%(P = 0.048)和1.99%(P = 0.045)。
本研究提供了特定GM、血液代谢物与GC风险之间因果关系的提示性证据,可能为GC病因学提供新的见解。