Laboratory Genetic Metabolic Diseases, Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
J Inherit Metab Dis. 2018 May;41(3):489-498. doi: 10.1007/s10545-017-0114-7. Epub 2017 Dec 5.
Peroxisomes are ubiquitous cell organelles that play an important role in lipid metabolism. Accordingly, peroxisomal disorders, including the peroxisome biogenesis disorders and peroxisomal single-enzyme deficiencies, are associated with aberrant lipid metabolism. Lipidomics is an emerging tool for diagnosis, disease-monitoring, identifying lipid biomarkers, and studying the underlying pathophysiology in disorders of lipid metabolism. In this study, we demonstrate the potential of lipidomics for the diagnosis of peroxisomal disorders using plasma samples from patients with different types of peroxisomal disorders. We show that the changes in the plasma profiles of phospholipids, di- and triglycerides, and cholesterol esters correspond with the characteristic metabolite abnormalities that are currently used in the metabolic screening for peroxisomal disorders. The lipidomics approach, however, gives a much more detailed overview of the metabolic changes that occur in the lipidome. Furthermore, we identified novel unique lipid species for specific peroxisomal diseases that are candidate biomarkers. The results presented in this paper show the power of lipidomics approaches to enable the specific diagnosis of different peroxisomal disorders.
过氧化物酶体是普遍存在的细胞细胞器,在脂质代谢中发挥着重要作用。因此,过氧化物酶体疾病,包括过氧化物酶体生物发生障碍和过氧化物酶体单一酶缺乏症,与异常的脂质代谢有关。脂质组学是一种新兴的工具,可用于诊断、疾病监测、鉴定脂质生物标志物,并研究脂质代谢紊乱中的潜在病理生理学。在这项研究中,我们使用来自不同类型过氧化物酶体疾病患者的血浆样本,展示了脂质组学在过氧化物酶体疾病诊断中的潜力。我们表明,磷脂、二酰基和三酰基甘油以及胆固醇酯的血浆图谱变化与目前用于过氧化物酶体疾病代谢筛查的特征代谢物异常相对应。然而,脂质组学方法更详细地概述了脂质组中发生的代谢变化。此外,我们还确定了针对特定过氧化物酶体疾病的新型独特脂质种类,它们是候选生物标志物。本文介绍的结果表明,脂质组学方法可实现对不同过氧化物酶体疾病的特异性诊断。