Takashima Shigeo, Toyoshi Kayoko, Itoh Takahiro, Kajiwara Naomi, Honda Ayako, Ohba Akiko, Takemoto Shoko, Yoshida Satoshi, Shimozawa Nobuyuki
Division of Genomics Research, Life Science Research Center, Gifu University, Japan.
Division of Genomics Research, Life Science Research Center, Gifu University, Japan.
Mol Genet Metab. 2017 Mar;120(3):255-268. doi: 10.1016/j.ymgme.2016.12.013. Epub 2017 Jan 7.
Metabolic changes occur in patients with peroxisomal diseases owing to impairments in the genes involved in peroxisome function. For diagnostic purposes, saturated very-long-chain fatty acids (VLCFAs) such as C24:0 and C26:0, phytanic acid, pristanic acid, and plasmalogens are often measured as metabolic hallmarks. As the direct pathology of peroxisomal disease is yet to be fully elucidated, we sought to explore the fatty acid species that accumulate in patients with peroxisomal diseases. We developed a method for detecting a range of fatty acids implicated in peroxisomal diseases such as Zellweger syndrome (ZS) and X-linked adrenoleukodystrophy (X-ALD). To this end, we employed an ultra-performance liquid chromatography-mass spectrometry (LC-MS) coupled with negatively charged electrospray ionization. Fatty acids from patients and control subjects were extracted from total lipids by acid-hydrolysis and compared. In accordance with previous results, the amounts of VLCFAs, phytanic acid, and pristanic acid differed between the two groups. We identified extremely long and highly polyunsaturated VLCFAs (ultra-VLC-PUFAs) such as C44:12 in ZS samples. Moreover, three unknown molecules were prominent in control samples but scarcely detectable in ZS samples. LC-MS/MS analysis identified these as 1-alkyl-sn-glycerol 3-phosphates derived from ether lipids containing fatty alcohols such as C16:0, C18:0, or C18:1. Our method provides an approach to observing a wide range of lipid-derived fatty acids and related molecules in order to understand the metabolic changes involved in peroxisomal diseases. This technique can therefore be used in identifying metabolic markers and potential clinical targets for future treatment.
由于参与过氧化物酶体功能的基因受损,过氧化物酶体疾病患者会出现代谢变化。出于诊断目的,通常会测量饱和极长链脂肪酸(VLCFA),如C24:0和C26:0、植烷酸、降植烷酸和缩醛磷脂,作为代谢标志。由于过氧化物酶体疾病的直接病理尚未完全阐明,我们试图探索过氧化物酶体疾病患者体内积累的脂肪酸种类。我们开发了一种方法,用于检测一系列与过氧化物酶体疾病相关的脂肪酸,如泽尔韦格综合征(ZS)和X连锁肾上腺脑白质营养不良(X-ALD)。为此,我们采用了超高效液相色谱-质谱联用(LC-MS)技术,并结合带负电荷的电喷雾电离。通过酸水解从总脂质中提取患者和对照受试者的脂肪酸,并进行比较。与先前的结果一致,两组之间的VLCFA、植烷酸和降植烷酸含量存在差异。我们在ZS样本中鉴定出了极长和高度多不饱和的VLCFA(超VLC-PUFA),如C44:12。此外,三种未知分子在对照样本中很突出,但在ZS样本中几乎检测不到。LC-MS/MS分析确定这些分子是源自含有脂肪酸醇(如C16:0、C18:0或C18:1)的醚脂的1-烷基-sn甘油3-磷酸酯。我们的方法提供了一种观察广泛的脂质衍生脂肪酸和相关分子的途径,以便了解过氧化物酶体疾病中涉及的代谢变化。因此,该技术可用于识别代谢标志物和未来治疗的潜在临床靶点。