Seow Wei Jie, Low Dorrain Yanwen, Pan Wen-Chi, Gunther Samuel H, Sim Xueling, Torta Federico, Herr Deron R, Kovalik Jean-Paul, Ching Jianhong, Khoo Chin Meng, Wenk Markus R, Tai E Shyong, van Dam Rob M
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Singapore.
Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, 119228, Singapore.
Mol Nutr Food Res. 2020 Oct 29:e2000527. doi: 10.1002/mnfr.202000527.
Coffee and tea are among the most popular beverages in the world. However, the association between habitual coffee, green tea, and black tea consumption with metabolomics profiles in Asian populations remain largely unknown.
158 metabolites (14 amino acids, 45 acylcarnitines, and 99 sphingolipids) in the blood plasma of participants are measured from the population-based Singapore Prospective Study Program cohort using mass spectrometry (MS). Linear regression models are used to obtain the estimates for the association between coffee and tea consumption with metabolite levels, adjusted for potential confounders and false discovery rate (FDR). Coffee consumption is significantly associated with higher levels of 63 sphingolipids (29 sphingomyelins, 32 ceramides, a sphingosine-1-phosphate, and a sphingosine) and lower levels of 13 acylcarnitines and alanine. Black tea consumption is significantly associated with higher levels of eight sphingolipids, and lower levels of an amino acid, whereas green tea is significantly inversely associated with four metabolites (C8:1-OH acylcarnitine, ganglioside GM3 d18:1/16:0, sphingomyelins d18:2/18:0 and d18:1/14:0).
Coffee, black tea, and green tea consumption are associated with plasma levels of certain classes of sphingolipids and acylcarnitines in an Asian population, particularly sphingomyelins, which may mediate the health benefits of these beverages.
咖啡和茶是世界上最受欢迎的饮品。然而，在亚洲人群中，习惯性饮用咖啡、绿茶和红茶与代谢组学特征之间的关联在很大程度上仍不为人知。
使用质谱法（MS）对基于人群的新加坡前瞻性研究计划队列参与者血浆中的158种代谢物（14种氨基酸、45种酰基肉碱和99种鞘脂）进行测量。采用线性回归模型来获取咖啡和茶的消费量与代谢物水平之间关联的估计值，并对潜在混杂因素和错误发现率（FDR）进行了校正。咖啡消费与63种鞘脂水平升高（29种鞘磷脂、32种神经酰胺、1种鞘氨醇-1-磷酸和1种鞘氨醇）以及13种酰基肉碱和丙氨酸水平降低显著相关。红茶消费与8种鞘脂水平升高以及1种氨基酸水平降低显著相关，而绿茶与4种代谢物（C8:1-OH酰基肉碱、神经节苷脂GM3 d18:1/16:0、鞘磷脂d18:2/18:0和d18:1/14:0）显著负相关。
在亚洲人群中，饮用咖啡、红茶和绿茶与某些类别的鞘脂和酰基肉碱的血浆水平相关，尤其是鞘磷脂，这可能介导了这些饮品的健康益处。
