Verri Hernandes Vinicius, Dordevic Nikola, Hantikainen Essi Marjatta, Sigurdsson Baldur Bragi, Smárason Sigurður Vidir, Garcia-Larsen Vanessa, Gögele Martin, Caprioli Giulia, Bozzolan Ilaria, Pramstaller Peter P, Rainer Johannes
Institute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Department of Clinical Biochemistry, Landspitali-University Hospital, 108 Reykjavik, Iceland.
Metabolites. 2022 Feb 24;12(3):205. doi: 10.3390/metabo12030205.
Metabolomics in human serum samples provide a snapshot of the current metabolic state of an individuum. Metabolite concentrations are influenced by both genetic and environmental factors. Concentrations of certain metabolites can further depend on age, sex, menopause, and diet of study participants. A better understanding of these relationships is pivotal for the planning of metabolomics studies involving human subjects and interpretation of their results. We generated one of the largest single-site targeted metabolomics data sets consisting of 175 quantified metabolites in 6872 study participants. We identified metabolites significantly associated with age, sex, body mass index, diet, and menopausal status. While most of our results agree with previous large-scale studies, we also found novel associations including serotonin as a sex and BMI-related metabolite and sarcosine and C2 carnitine showing significantly higher concentrations in post-menopausal women. Finally, we observed strong associations between higher consumption of food items and certain metabolites, mostly phosphatidylcholines and lysophosphatidylcholines. Most, and the strongest, relationships were found for habitual meat intake while no significant relationships were found for most fruits, vegetables, and grain products. Summarizing, our results reconfirm findings from previous population-based studies on an independent cohort. Together, these findings will ultimately enable the consolidation of sets of metabolites which are related to age, sex, BMI, and menopause as well as to participants' diet.
人血清样本中的代谢组学提供了个体当前代谢状态的快照。代谢物浓度受遗传和环境因素的影响。某些代谢物的浓度可能进一步取决于研究参与者的年龄、性别、绝经状态和饮食。更好地理解这些关系对于涉及人类受试者的代谢组学研究的规划及其结果的解释至关重要。我们生成了最大的单中心靶向代谢组学数据集之一,该数据集包含6872名研究参与者的175种定量代谢物。我们确定了与年龄、性别、体重指数、饮食和绝经状态显著相关的代谢物。虽然我们的大多数结果与之前的大规模研究一致,但我们也发现了新的关联,包括血清素作为与性别和体重指数相关的代谢物,以及肌氨酸和C2肉碱在绝经后女性中浓度显著更高。最后,我们观察到某些食物的较高摄入量与特定代谢物之间存在很强的关联,主要是磷脂酰胆碱和溶血磷脂酰胆碱。在习惯性肉类摄入方面发现了大多数且最强的关系,而在大多数水果、蔬菜和谷物产品方面未发现显著关系。总之,我们的结果在一个独立队列中再次证实了先前基于人群的研究结果。这些发现共同将最终能够整合与年龄、性别、体重指数、绝经以及参与者饮食相关的代谢物集。