Materia Medica Development Group, Institute of Medicinal Chemistry, Lanzhou University School of Pharmacy, Lanzhou, China.
Dingxi Campus of Gansu, University of Traditional Chinese Medicine, Dingxi, China.
Mol Genet Genomic Med. 2021 Aug;9(8):e1738. doi: 10.1002/mgg3.1738. Epub 2021 Jul 22.
Metabolites present in human urine can be influenced by individual physiological parameters (e.g., body mass index [BMI], age, and sex). Observation of altered metabolites concentrations could provide insight into underlying disease pathology, disease prognosis and diagnosis, and facilitate discovery of novel biomarkers.
Quantitative metabolomics analysis in the urine of 183 healthy individuals was performed based on high-resolution liquid chromatography-mass spectrometry (LC-MS). Coefficients of variation were obtained for 109 urine metabolites of all the 183 human healthy subjects.
Three urine metabolites (such as dehydroepiandrosterone sulfate, acetaminophen glucuronide, and p-anisic acid) with CV > 0.3, for which metabolomics studies have been scarce, are considered highly variable here. We identified 30 age-related metabolites, 18 BMI-related metabolites, and 42 sex-related metabolites. Among the identified metabolites, three metabolites were found to be associated with all three physiological parameters (age, BMI, and sex), which included dehydroepiandrosterone sulfate, 3-methylcrotonylglycine and N-acetyl-aspartic acid. Pearson's coefficients demonstrated that some age-, BMI-, and sex-related compounds are strongly correlated, suggesting that age, BMI, and sex could affect them concomitantly.
Metabolic differences between distinct physiological statuses were found to be related to several metabolic pathways (such as the caffeine metabolism, the amino acid metabolism, and the carbohydrate metabolism), and these findings may be key for the discovery of new diagnostics and treatments as well as new understandings on the mechanisms of some related diseases.
人体尿液中的代谢物会受到个体生理参数的影响（如体重指数[BMI]、年龄和性别）。观察代谢物浓度的变化可以深入了解潜在的疾病病理、疾病预后和诊断，并有助于发现新的生物标志物。
基于高分辨率液相色谱-质谱（LC-MS）对 183 名健康个体的尿液进行定量代谢组学分析。对所有 183 名健康受试者的 109 种尿液代谢物的变异系数（CV）进行了测定。
有 3 种代谢物（如脱氢表雄酮硫酸盐、对乙酰氨基酚葡萄糖醛酸和对茴香酸）的 CV > 0.3，这些代谢物的代谢组学研究较为匮乏，因此被认为是高度可变的。我们共鉴定出 30 种与年龄相关的代谢物、18 种与 BMI 相关的代谢物和 42 种与性别相关的代谢物。在所鉴定的代谢物中，有 3 种代谢物与所有 3 种生理参数（年龄、BMI 和性别）均有关联，包括脱氢表雄酮硫酸盐、3-甲基戊烯二酸和 N-乙酰天冬氨酸。Pearson 相关系数表明，一些与年龄、BMI 和性别相关的化合物具有很强的相关性，这表明年龄、BMI 和性别可能同时影响这些化合物。
不同生理状态下的代谢差异与几种代谢途径有关（如咖啡因代谢、氨基酸代谢和碳水化合物代谢），这些发现可能是发现新的诊断和治疗方法以及深入了解某些相关疾病机制的关键。
