Lin Yongwei, Zhang Na, Zhang Jianfen, Lu Junbo, Liu Shufang, Ma Guansheng
Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, China.
Curr Dev Nutr. 2024 Feb 1;8(3):102087. doi: 10.1016/j.cdnut.2024.102087. eCollection 2024 Mar.
Water is vital for humans' survival and general health, which is involved in various metabolic activities.
The aim of this study was to investigate the variation in urine metabolome and associated metabolic pathways among people with different hydration states.
A metabolomic analysis was conducted using 24-h urine samples collected during a cross-sectional study on fluid intake behavior from December 9 to 11, 2021, in Hebei, China. Subjects were divided into the optimal hydration (OH, ≤500 mOsm/kg, = 21), middle hydration (500-800 mOsm/kg, = 33), and hypohydration groups (HH, >800 mOsm/kg, = 13) based on the 3-d average 24-h urine osmolality. Collected 24-h urine samples from 67 subjects (43 males and 34 females) were analyzed for urine metabolome using liquid chromatography-MS.
The untargeted metabolomic analysis yielded 1055 metabolites by peak intensities. Integrating the results of the orthogonal projections to latent structures discriminant analysis and fold change test, 115 differential metabolites between the OH and HH groups, including phospholipids (PLs) and lysophospholipids, were identified. Among the 115 metabolites identified as differential metabolites, 85 were recorded by the Human Metabolome Database and uploaded to the Kyoto Encyclopedia of Genes and Genomes databases for pathway analysis. Twenty-one metabolic pathways were recognized. Phenylalanine metabolism (0.50, = 0.007), phenylalanine, tyrosine, and tryptophan biosynthesis (0.50, = 0.051), glycerophospholipid metabolism (0.31, < 0.001), sphingolipid metabolism (0.27, = 0.029), and cysteine and methionine metabolism (0.10, = 0.066) had the leading pathway impacts.
We found variations in the urinary PLs and amino acids among subjects with different hydration states. Pathways associated with these differential metabolites could further impact various physiologic and pathologic functions. A more comprehensive and in-depth investigation of the physiologic and pathologic impact of the hydration state and the underlying mechanisms to elucidate and advocate optimal fluid intake habits is needed.This trial was registered at Chinese Clinical Trial Registry as ChiCTR2100045268.
水对人类的生存和总体健康至关重要,它参与各种代谢活动。
本研究旨在调查不同水合状态人群的尿液代谢组及相关代谢途径的变化。
在2021年12月9日至11日于中国河北进行的一项关于液体摄入行为的横断面研究中,收集24小时尿液样本进行代谢组学分析。根据3天平均24小时尿渗透压,将受试者分为最佳水合状态组(OH,≤500 mOsm/kg,n = 21)、中度水合状态组(500 - 800 mOsm/kg,n = 33)和低水合状态组(HH,>800 mOsm/kg,n = 13)。对67名受试者(43名男性和34名女性)收集的24小时尿液样本进行液相色谱 - 质谱分析以检测尿液代谢组。
非靶向代谢组学分析通过峰强度得出1055种代谢物。综合正交投影到潜在结构判别分析和倍数变化检验的结果,确定了OH组和HH组之间的115种差异代谢物,包括磷脂(PLs)和溶血磷脂。在确定为差异代谢物的115种代谢物中,85种被人类代谢组数据库记录,并上传到京都基因与基因组百科全书数据库进行途径分析。识别出21条代谢途径。苯丙氨酸代谢(0.50,p = 0.007)、苯丙氨酸、酪氨酸和色氨酸生物合成(0.50,p = 0.051)、甘油磷脂代谢(0.31,p < 0.001)、鞘脂代谢(0.27,p = 0.029)和半胱氨酸和甲硫氨酸代谢(0.10,p = 0.066)具有主要的途径影响。
我们发现不同水合状态受试者的尿液PLs和氨基酸存在差异。与这些差异代谢物相关的途径可能会进一步影响各种生理和病理功能。需要对水合状态的生理和病理影响以及潜在机制进行更全面和深入的研究,以阐明并倡导最佳的液体摄入习惯。本试验在中国临床试验注册中心注册,注册号为ChiCTR2100045268。