Long Miao, Fan Xikang, Wang Mian, Liu Xinyi, Fu Chengqu, Huang Jianv, Shen Yuefan, Cheng Xueni, Luo Pengfei, Su Jian, Zhou Jinyi, Hang Dong
Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Department of Chronic Noncommunicable Disease Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Am J Clin Nutr. 2025 Mar;121(3):548-557. doi: 10.1016/j.ajcnut.2025.01.013. Epub 2025 Jan 11.
A proinflammatory diet has been linked to an increased risk of breast cancer. However, the underlying metabolic roles remain to be elucidated.
This study aimed to investigate the metabolic mechanism between proinflammatory diet and breast cancer risk.
This prospective study included 273,324 females from the UK Biobank. The dietary inflammatory potential was assessed via an energy-adjusted dietary inflammatory index (E-DII) based on a 24-h recall questionnaire. The plasma metabolome was profiled via high-throughput nuclear magnetic resonance spectroscopy. A metabolic signature was constructed by summing selected metabolite concentrations weighted by the coefficients via absolute shrinkage and selection operator analysis. Multivariate Cox regression was applied to assess the associations of the E-DII and metabolic signature with breast cancer risk.
We constructed a metabolic signature comprising 26 metabolites associated with a proinflammatory diet. These metabolites primarily included lipoproteins, amino acids, fatty acids, and ketone bodies. Both the E-DII and metabolic signature were positively associated with breast cancer risk [hazard ratio (HR) comparing the highest quintile with the lowest quintile: 1.17; 95% CI: 1.04, 1.32; and 1.21; 95% CI: 1.01, 1.46, respectively]. Furthermore, we found that saturated fatty acids to total fatty acids percentage and acetone concentration were positively associated (HR: 1.20; 95% CI: 1.04, 1.37; HR: 1.15; 95% CI: 1.01, 1.32, respectively), whereas the degree of unsaturation was inversely associated with breast cancer risk (HR: 0.86; 95% CI: 0.75, 0.99).
We identified a metabolic signature that reflects a proinflammatory diet and is associated with increased risk of breast cancer.
促炎饮食与乳腺癌风险增加有关。然而,其潜在的代谢作用仍有待阐明。
本研究旨在探讨促炎饮食与乳腺癌风险之间的代谢机制。
这项前瞻性研究纳入了英国生物银行的273,324名女性。通过基于24小时回忆问卷的能量调整饮食炎症指数(E-DII)评估饮食炎症潜力。通过高通量核磁共振波谱分析血浆代谢组。通过绝对收缩和选择算子分析,将选定代谢物浓度乘以系数后求和,构建代谢特征。应用多变量Cox回归评估E-DII和代谢特征与乳腺癌风险的关联。
我们构建了一个包含26种与促炎饮食相关代谢物的代谢特征。这些代谢物主要包括脂蛋白、氨基酸、脂肪酸和酮体。E-DII和代谢特征均与乳腺癌风险呈正相关[最高五分位数与最低五分位数相比的风险比(HR):分别为1.17;95%置信区间:1.04,1.32;以及1.21;95%置信区间:1.01,1.46]。此外,我们发现饱和脂肪酸占总脂肪酸的百分比和丙酮浓度呈正相关(HR:分别为1.20;95%置信区间:1.04,1.37;HR:1.15;95%置信区间:1.01,1.32),而不饱和度与乳腺癌风险呈负相关(HR:0.86;95%置信区间:0.75,0.99)。
我们识别出一种反映促炎饮食且与乳腺癌风险增加相关的代谢特征。