Li Kui, Zhang Chao, Yan Cheng
Department of Pharmacy, Xinxiang Central Hospital, Xinxiang, China.
School of Pharmacy, Key Laboratory of Nano-Carbon Modified Film Technology of Henan Province, Xinxiang University, Xinxiang, China.
FASEB J. 2025 Sep 15;39(17):e70995. doi: 10.1096/fj.202501757R.
Obesity is a well-established risk factor for pancreatic cancer (PC), yet the underlying metabolic mechanisms that link obesity to increased PC risk remain unclear. This study aims to identify the specific metabolites mediating the relationship between obesity and pancreatic cancer. A two-sample two-step Mendelian randomization (MR) approach was used to determine the causal effects of circulating metabolites on PC risk and the causal effects of body mass index (BMI) on potential metabolites. Independent datasets were employed to validate the results from both steps. The mediation effect of the potential metabolites was quantified using the product of coefficients approach. Our study identified 55 circulating metabolites associated with PC risk through MR analysis, with no evidence of pleiotropy, heterogeneity, or reverse causality. Among them, 5 metabolites, including valine, showed a causal association with BMI. To validate our findings, Step 1 was replicated using an independent pancreatic cancer dataset from the UK Biobank, replacing the FinnGen cohort, while Step 2 was validated by substituting whole-body fat mass for BMI as the exposure; both analyses consistently confirmed the association with valine. Mediation analysis demonstrated that circulating valine levels partially mediated the effect of BMI on PC risk. The estimated mediated effect via valine was β = 0.064, corresponding to an approximate mediated proportion of 19.01%. This study reveals valine as a crucial metabolic mediator linking obesity to PC risk. The findings also underscore the complex interplay between obesity, metabolites, and cancer, offering new insights and avenues for PC research and treatment.
肥胖是胰腺癌(PC)公认的风险因素,但将肥胖与PC风险增加联系起来的潜在代谢机制仍不清楚。本研究旨在确定介导肥胖与胰腺癌之间关系的特定代谢物。采用两样本两步孟德尔随机化(MR)方法来确定循环代谢物对PC风险的因果效应以及体重指数(BMI)对潜在代谢物的因果效应。使用独立数据集对两个步骤的结果进行验证。通过系数乘积法对潜在代谢物的中介效应进行量化。我们的研究通过MR分析确定了55种与PC风险相关的循环代谢物,没有多效性、异质性或反向因果关系的证据。其中,包括缬氨酸在内的5种代谢物与BMI存在因果关联。为了验证我们的发现,第一步使用来自英国生物银行的独立胰腺癌数据集进行重复,取代芬兰基因队列,而第二步通过用全身脂肪量替代BMI作为暴露因素进行验证;两项分析均一致证实了与缬氨酸的关联。中介分析表明,循环缬氨酸水平部分介导了BMI对PC风险的影响。通过缬氨酸估计的中介效应为β = 0.064,对应的中介比例约为19.01%。本研究揭示缬氨酸是将肥胖与PC风险联系起来的关键代谢中介物。这些发现还强调了肥胖、代谢物和癌症之间复杂的相互作用,为PC研究和治疗提供了新的见解和途径。