Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Center for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Commun Biol. 2024 Nov 6;7(1):1450. doi: 10.1038/s42003-024-07137-x.
The aim of this study was to explore the intricate relationship between serum metabolomics and lifestyle factors, shedding light on their impact on health in the context of breast cancer risk. Detailed metabolic profiles of 2283 female participants in the Trøndelag Health Study (HUNT study) were obtained through nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS).We show that lifestyle-related variables can explain up to 30% of the variance in individual metabolites. Age and obesity were the primary factors affecting the serum metabolic profile, both associated with increased levels of triglyceride-rich very low-density lipoproteins (VLDL) and intermediate-density lipoproteins (IDL), amino acids and glycolysis-related metabolites, and decreased levels of high-density lipoproteins (HDL). Moreover, factors like hormonal changes associated with menstruation and contraceptive use or education level influence the metabolite levels.Participants were clustered into three distinct clusters based on lifestyle-related factors, revealing metabolic similarities between obese and older individuals, despite diverse lifestyle factors, suggesting accelerated metabolic aging with obesity. Our results show that metabolic associations to cancer risk may partly be explained by modifiable lifestyle factors.
本研究旨在探讨血清代谢组学与生活方式因素之间的复杂关系,揭示它们在乳腺癌风险背景下对健康的影响。通过核磁共振(NMR)光谱和质谱(MS)技术,我们获得了 2283 名女性特隆德拉格健康研究(HUNT 研究)参与者的详细代谢谱。我们表明,与生活方式相关的变量可以解释个体代谢物变化的 30%。年龄和肥胖是影响血清代谢谱的主要因素,它们都与甘油三酯丰富的极低密度脂蛋白(VLDL)和中间密度脂蛋白(IDL)、氨基酸和糖酵解相关代谢物水平升高以及高密度脂蛋白(HDL)水平降低有关。此外,与月经和避孕药使用或教育水平相关的激素变化等因素也会影响代谢物水平。根据与生活方式相关的因素,参与者被分为三个不同的聚类,尽管生活方式因素不同,但肥胖和老年人之间存在代谢相似性,这表明肥胖会加速代谢衰老。我们的结果表明,与癌症风险相关的代谢关联可能部分可以通过可改变的生活方式因素来解释。