系统调查基因测定的血浆和尿液代谢物,发现结直肠癌的潜在干预靶点

Jing Sun, Jianhui Zhao, Siyun Zhou, Xinxuan Li, Tengfei Li, Lijuan Wang, Shuai Yuan, Dong Chen, Philip J Law, Susanna C Larsson, Susan M Farrington, Richard S Houlston, Malcolm G Dunlop, Evropi Theodoratou, Xue Li
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Mendelian randomization (MR) and colocalization analyses were performed to evaluate the causal roles of metabolites in CRC. Druggability evaluation was employed to prioritize potential therapeutic targets. Multivariable MR and mediation estimation were conducted to elucidate the mediating effects of metabolites on the associations between modifiable risk factors and CRC. Results The study identified 30 plasma metabolites and four urinary metabolites for CRC. Plasma sphingomyelin and urinary lactose, which were positively associated with CRC risk, could be modulated by drug interventions (ie, Olipudase alfa, Tilactase). Thirteen modifiable risk factors were associated with nine metabolites and eight of these modifiable risk factors were associated with CRC risk. These nine metabolites mediated the effect of modifiable risk factors (Actinobacteria, BMI, waist-hip ratio, fasting insulin, smoking initiation) on CRC. 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摘要

背景 我们旨在确定与结直肠癌(CRC)风险相关的血浆和尿液代谢物,并阐明它们在可改变的风险因素与 CRC 之间的关联中的中介作用。方法 从两项已发表的代谢组学全基因组关联研究(GWAS)中提取代谢物定量性状位点,并提取了 651 种血浆代谢物和 208 种尿液代谢物的摘要级数据。与 CRC 的遗传关联来自大规模 GWAS meta 分析(100,204 例病例;154,587 例对照)和 FinnGen 队列(4,957 例病例;304,197 例对照)。为了评估代谢物在 CRC 中的因果作用,进行了孟德尔随机化(MR)和共定位分析。采用可药用性评估对潜在的治疗靶点进行优先排序。进行了多变量 MR 和中介估计,以阐明代谢物对可改变风险因素与 CRC 之间关联的中介效应。结果 研究发现了 30 种血浆代谢物和 4 种尿液代谢物与 CRC 有关。血浆鞘磷脂和尿液乳糖与 CRC 风险呈正相关,可通过药物干预(即 Olipudase alfa 和 Tilactase)调节。13种可改变的风险因素与9种代谢物相关,其中8种可改变的风险因素与CRC风险相关。这九种代谢物介导了可改变的风险因素(放线菌、体重指数、腰臀比、空腹胰岛素、开始吸烟)对 CRC 的影响。结论 本研究确定了与 CRC 相关的关键代谢物生物标志物,并阐明了它们在可改变的风险因素与 CRC 之间的关联中的中介作用。这些发现为 CRC 的病因学和潜在治疗目标以及可改变的环境因素与 CRC 的病因学途径提供了新的见解。
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Systematic investigation of genetically determined plasma and urinary metabolites to discover potential interventional targets for colorectal cancer
Background We aimed to identify plasma and urinary metabolites related to colorectal cancer (CRC) risk and elucidate their mediator role in the associations between modifiable risk factors and CRC. Methods Metabolite quantitative trait loci were derived from two published metabolomics genome-wide association studies (GWASs), and summary-level data were extracted for 651 plasma metabolites and 208 urinary metabolites. Genetic associations with CRC were obtained from a large-scale GWAS meta-analysis (100,204 cases; 154,587 controls) and the FinnGen cohort (4,957 cases; 304,197 controls). Mendelian randomization (MR) and colocalization analyses were performed to evaluate the causal roles of metabolites in CRC. Druggability evaluation was employed to prioritize potential therapeutic targets. Multivariable MR and mediation estimation were conducted to elucidate the mediating effects of metabolites on the associations between modifiable risk factors and CRC. Results The study identified 30 plasma metabolites and four urinary metabolites for CRC. Plasma sphingomyelin and urinary lactose, which were positively associated with CRC risk, could be modulated by drug interventions (ie, Olipudase alfa, Tilactase). Thirteen modifiable risk factors were associated with nine metabolites and eight of these modifiable risk factors were associated with CRC risk. These nine metabolites mediated the effect of modifiable risk factors (Actinobacteria, BMI, waist-hip ratio, fasting insulin, smoking initiation) on CRC. Conclusion This study identified key metabolite biomarkers associated with CRC and elucidated their mediator roles in the associations between modifiable risk factors and CRC. These findings provide new insights into the etiology and potential therapeutic targets for CRC and the etiological pathways of modifiable environmental factors with CRC.
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