Graessler J, Mehnert C S, Schulte K-M, Bergmann S, Strauss S, Bornstein T D, Licinio J, Wong M-L, Birkenfeld A L, Bornstein S R
Department and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
Department of Surgery, King's College Hospital, NHS Foundation Trust, London, UK.
Pharmacogenomics J. 2018 Apr;18(2):331-339. doi: 10.1038/tpj.2017.24. Epub 2017 Jun 13.
Urinary lipidomics may add new valuable biomarkers to the diagnostic armamentarium for early detection of metabolic and kidney diseases. Sources and composition of urinary lipids in healthy individuals, however, have not been investigated in detail. Shotgun lipidomics was used to quantify lipidomic profiles in native urine samples from 16 individuals (eight men, eight women) collected in five fractions over 24 h. All probands were comprehensively characterized by urinary and clinical indices. The mean total urinary lipid concentration per sample was 0.84 μM in men and 1.03 μM in women. We observed significant intra- and interindividual variations of lipid concentrations over time, but failed to detect a clear circadian pattern. Based on quantity and subclass composition it seems very unlikely that plasma serves as major source for the urinary lipidome. Considering lipid metabolites occurring in at least 20% of all samples 38 lipid species from 7 lipid classes were identified. Four phosphatidylserine and one phosphatidylethanolamine ether species (PE-O 36:5) were detectable in almost all urine samples. Sexual dimorphism has been found mainly for phosphatidylcholines and phosphatidylethanolamines. In men and in women urinary lipid species were highly correlated with urinary creatinine and albumin excretion, reflecting glomerular filtration and tubular transport processes. In women, however, lipid species deriving from urinary cells and cellular constituents of the lower genitourinary tract considerably contributed to the urinary lipidome. In conclusion, our study revealed the potential of urinary lipidomics but also the complexity of methodological challenges which have to be overcome for its implementation as a routine diagnostic tool for renal, urological and metabolic diseases.
尿脂质组学可能会为代谢性疾病和肾脏疾病的早期诊断提供新的有价值的生物标志物。然而,健康个体尿脂质的来源和组成尚未得到详细研究。采用鸟枪法脂质组学对16名个体(8名男性,8名女性)24小时内分五个时段收集的天然尿液样本进行脂质组学分析。所有受试者均通过尿液和临床指标进行全面表征。男性样本中尿脂质的平均总浓度为0.84μM,女性为1.03μM。我们观察到脂质浓度随时间存在显著的个体内和个体间差异,但未检测到明显的昼夜节律模式。从数量和亚类组成来看,血浆似乎不太可能是尿脂质组的主要来源。根据在至少20%的样本中出现的脂质代谢物,鉴定出了来自7个脂质类别的38种脂质。几乎所有尿液样本中都可检测到四种磷脂酰丝氨酸和一种磷脂酰乙醇胺醚类物质(PE-O 36:5)。主要在磷脂酰胆碱和磷脂酰乙醇胺中发现了性别差异。在男性和女性中,尿脂质种类与尿肌酐和白蛋白排泄高度相关,反映了肾小球滤过和肾小管转运过程。然而,在女性中,来自泌尿生殖系统下部尿液细胞和细胞成分的脂质种类对尿脂质组有很大贡献。总之,我们的研究揭示了尿脂质组学的潜力,但也揭示了将其作为肾脏、泌尿和代谢疾病的常规诊断工具所必须克服的方法学挑战的复杂性。