Pan Zhengzheng, Gu Haiwei, Talaty Nari, Chen Huanwen, Shanaiah Narasimhamurthy, Hainline Bryan E, Cooks R Graham, Raftery Daniel
Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, USA.
Anal Bioanal Chem. 2007 Jan;387(2):539-49. doi: 10.1007/s00216-006-0546-7. Epub 2006 Jul 5.
Urine metabolic profiles of patients with inborn errors of metabolism were examined with nuclear magnetic resonance (NMR) and desorption electrospray ionization mass spectrometry (DESI-MS) methods. Spectra obtained from the study of urine samples from individual patients with argininosuccinic aciduria (ASA), classic homocystinuria (HCY), classic methylmalonic acidemia (MMA), maple syrup urine disease (MSUD), phenylketonuria (PKU) and type II tyrosinemia (TYRO) were compared with six control patient urine samples using principal component analysis (PCA). Target molecule spectra were identified from the loading plots of PCA output and compared with known metabolic profiles from the literature and metabolite databases. Results obtained from the two techniques were then correlated to obtain a common list of molecules associated with the different diseases and metabolic pathways. The combined approach discussed here may prove useful in the rapid screening of biological fluids from sick patients and may help to improve the understanding of these rare diseases.
采用核磁共振(NMR)和解吸电喷雾电离质谱(DESI-MS)方法检测了先天性代谢缺陷患者的尿液代谢谱。使用主成分分析(PCA),将从患有精氨琥珀酸尿症(ASA)、经典型同型胱氨酸尿症(HCY)、经典型甲基丙二酸血症(MMA)、枫糖尿症(MSUD)、苯丙酮尿症(PKU)和II型酪氨酸血症(TYRO)的个体患者尿液样本研究中获得的光谱与六个对照患者尿液样本进行比较。从PCA输出的载荷图中识别目标分子光谱,并与文献和代谢物数据库中已知的代谢谱进行比较。然后将两种技术获得的结果进行关联,以获得与不同疾病和代谢途径相关的共同分子列表。这里讨论的联合方法可能在快速筛查患病患者的生物体液方面有用,并且可能有助于增进对这些罕见疾病的理解。