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孟德尔随机化分析以发现介导肥胖对癌症风险影响的血浆代谢物。

Mendelian randomisation analysis to discover plasma metabolites mediating the effect of obesity on cancer risk.

作者信息

Yates Thomas, Went Molly, Mills Charlie, Law Philip, Gockel Ines, Maj Carlo, Schumacher Johannes, Palles Claire, Houlston Richard

机构信息

Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.

Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.

出版信息

Br J Cancer. 2025 Sep 2. doi: 10.1038/s41416-025-03170-7.

Abstract

BACKGROUND

Obesity is a risk factor for several cancers, but the mechanistic basis is poorly understood. We sought to identify circulating metabolites mediating the effect of obesity on the risk of eight common cancers.

METHODS

Using European ancestry data, we applied two-sample Mendelian randomisation (2S-MR) to screen 856 plasma metabolites for associations with body mass index (BMI) and waist-hip ratio (WHR). Metabolite GWAS data were sourced from INTERVAL, and obesity traits from the GIANT consortium and UK Biobank. We assessed the impact of obesity-associated metabolites on cancer risk (384,738 cases across eight cancer types and 799,908 controls) and conducted mediation analyses to identify potential mediators of obesity-driven cancer risk.

RESULTS

MR analysis yielded 107 BMI-driven metabolites and 126 WHR-driven metabolites. The strongest relationships with cancer risk were between levels of obesity-driven 1-linoleoyl-GPC, 2-linoleoyl-GPC, 1,2-dilinoleoyl-GPC, 1-arachidonoyl-GPA, and 1-pentadecanoyl-2-linoleoyl-GPC and colorectal cancer (CRC). Additional associations were found between obesity-driven metabolites and breast cancer risk. Mediation analysis implicated multiple metabolites as potential mediators of obesity-driven CRC and breast cancer risk.

CONCLUSIONS

As well as these findings highlighting how obesity-related metabolic changes influence cancer risk, our observations suggest potential interventional targets.

摘要

背景

肥胖是多种癌症的危险因素,但其作用机制尚不清楚。我们试图确定介导肥胖对八种常见癌症风险影响的循环代谢物。

方法

利用欧洲血统数据,我们应用两样本孟德尔随机化(2S-MR)来筛选856种血浆代谢物与体重指数(BMI)和腰臀比(WHR)的关联。代谢物全基因组关联研究(GWAS)数据来自INTERVAL,肥胖特征数据来自GIANT联盟和英国生物银行。我们评估了肥胖相关代谢物对癌症风险的影响(涉及八种癌症类型的384,738例病例和799,908例对照),并进行了中介分析以确定肥胖驱动癌症风险的潜在中介物。

结果

孟德尔随机化分析产生了107种由BMI驱动的代谢物和126种由WHR驱动的代谢物。肥胖驱动的1-亚油酰基-GPC、2-亚油酰基-GPC、1,2-二亚油酰基-GPC、1-花生四烯酰基-GPA和1-十五烷酰基-2-亚油酰基-GPC水平与结直肠癌(CRC)之间与癌症风险的关系最为密切。在肥胖驱动的代谢物与乳腺癌风险之间还发现了其他关联。中介分析表明多种代谢物是肥胖驱动的结直肠癌和乳腺癌风险的潜在中介物。

结论

这些发现不仅突出了肥胖相关代谢变化如何影响癌症风险,我们的观察结果还提示了潜在的干预靶点。

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