Identification of potential mediators of the relationship between body mass index and colorectal cancer: a Mendelian randomization analysis.

IF 6.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Emmanouil Bouras, Dipender Gill, Verena Zuber, Neil Murphy, Niki Dimou, Krasimira Aleksandrova, Sarah J Lewis, Richard M Martin, James Yarmolinsky, Demetrius Albanes, Hermann Brenner, Sergi Castellví-Bel, Andrew T Chan, Iona Cheng, Stephen Gruber, Bethany Van Guelpen, Christopher I Li, Loic Le Marchand, Polly A Newcomb, Shuji Ogino, Andrew Pellatt, Stephanie L Schmit, Alicja Wolk, Anna H Wu, Ulrike Peters, Marc J Gunter, Konstantinos K Tsilidis
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引用次数: 0

Abstract

Background: Colorectal cancer (CRC) is the third-most-common cancer worldwide and its rates are increasing. Elevated body mass index (BMI) is an established risk factor for CRC, although the molecular mechanisms behind this association remain unclear. Using the Mendelian randomization (MR) framework, we aimed to investigate the mediating effects of putative biomarkers and other CRC risk factors in the association between BMI and CRC.

Methods: We selected as mediators biomarkers of established cancer-related mechanisms and other CRC risk factors for which a plausible association with obesity exists, such as inflammatory biomarkers, glucose homeostasis traits, lipids, adipokines, insulin-like growth factor 1 (IGF1), sex hormones, 25-hydroxy-vitamin D, smoking, physical activity (PA) and alcohol consumption. We used inverse-variance weighted MR in the main univariable analyses and performed sensitivity analyses (weighted-median, MR-Egger, Contamination Mixture). We used multivariable MR for the mediation analyses.

Results: Genetically predicted BMI was positively associated with CRC risk [odds ratio per SD (5 kg/m2) = 1.17, 95% CI: 1.08-1.24, P-value = 1.4 × 10-5] and robustly associated with nearly all potential mediators. Genetically predicted IGF1, fasting insulin, low-density lipoprotein cholesterol, smoking, PA and alcohol were associated with CRC risk. Evidence for attenuation was found for IGF1 [explained 7% (95% CI: 2-13%) of the association], smoking (31%, 4-57%) and PA (7%, 2-11%). There was little evidence for pleiotropy, although smoking was bidirectionally associated with BMI and instruments were weak for PA.

Conclusions: The effect of BMI on CRC risk is possibly partly mediated through plasma IGF1, whereas the attenuation of the BMI-CRC association by smoking and PA may reflect confounding and shared underlying mechanisms rather than mediation.

确定体重指数与结直肠癌之间关系的潜在调解因素:孟德尔随机分析。
背景:结肠直肠癌(CRC)是全球第三大常见癌症,其发病率正在上升。体重指数(BMI)升高是导致 CRC 的既定风险因素,但这种关联背后的分子机制仍不清楚。利用孟德尔随机化(MR)框架,我们旨在研究推测的生物标志物和其他 CRC 风险因素在 BMI 与 CRC 关联中的中介效应:我们选择了癌症相关机制的生物标志物和其他与肥胖有合理关联的 CRC 风险因素作为中介因子,如炎症生物标志物、葡萄糖稳态特征、血脂、脂肪因子、胰岛素样生长因子 1 (IGF1)、性激素、25-羟维生素 D、吸烟、体力活动 (PA) 和饮酒。我们在主要的单变量分析中使用了逆方差加权 MR,并进行了敏感性分析(加权中位数、MR-Egger、污染混合)。我们使用多变量 MR 进行中介分析:结果:基因预测的体重指数与癌症风险呈正相关[每 SD (5 kg/m2) 的几率比 = 1.17,95% CI:1.08-1.24,P 值 = 1.4 × 10-5],并且与几乎所有潜在的中介因子都有稳健的相关性。基因预测的 IGF1、空腹胰岛素、低密度脂蛋白胆固醇、吸烟、PA 和酒精与 CRC 风险相关。IGF1[解释了7%(95% CI:2-13%)的关联]、吸烟(31%,4-57%)和PA(7%,2-11%)有衰减的证据。虽然吸烟与 BMI 双向相关,但几乎没有证据表明存在多向性,而 PA 的相关性较弱:结论:BMI对CRC风险的影响可能部分是通过血浆IGF1介导的,而吸烟和PA对BMI-CRC相关性的减弱可能反映了混杂因素和共同的潜在机制,而不是介导作用。
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来源期刊
International journal of epidemiology
International journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
13.60
自引率
2.60%
发文量
226
审稿时长
3 months
期刊介绍: The International Journal of Epidemiology is a vital resource for individuals seeking to stay updated on the latest advancements and emerging trends in the field of epidemiology worldwide. The journal fosters communication among researchers, educators, and practitioners involved in the study, teaching, and application of epidemiology pertaining to both communicable and non-communicable diseases. It also includes research on health services and medical care. Furthermore, the journal presents new methodologies in epidemiology and statistics, catering to professionals working in social and preventive medicine. Published six times a year, the International Journal of Epidemiology provides a comprehensive platform for the analysis of data. Overall, this journal is an indispensable tool for staying informed and connected within the dynamic realm of epidemiology.
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