Murgia Federica, Lorefice Lorena, Poddighe Simone, Fenu Giuseppe, Secci Maria Antonietta, Marrosu Maria Giovanna, Cocco Eleonora, Atzori Luigi
Department of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, 09121 Cagliari, Italy.
Multiple Sclerosis Centre, Department of Medical Sciences and Public Health, Binaghi Hospital, University of Cagliari, via Is Guadazzonis 2, 09126 Cagliari, Italy.
J Clin Med. 2020 Mar 21;9(3):863. doi: 10.3390/jcm9030863.
Multiple sclerosis (MS) is a chronic immunemediated disease of the central nervous system with a highly variable clinical presentation and disease progression. In this study, we investigate the metabolomics profile of patients affected by relapsing-remitting MS (RRMS)and primary progressive MS (PPMS), in order to find potential biomarkers to distinguish between the two forms.
Cerebrospinal Fluid CSF and blood samples of 34 patients (RRMS = 22, PPMS = 12) were collected. Nuclear magnetic resonance (H-NMR) and mass spectrometry (coupled with a gas chromatography and liquid chromatography) were used as analytical techniques. Subsequently, a multivariate statistical analysis was performed; the resulting significant variables underwent U-Mann-Whitney test and correction for multiple comparisons. Receiver Operating Characteristic ROC curves were built and the pathways analysis was conducted.
The analysis of the serum and the CSF of the two classes, allowed the identification of several altered metabolites (lipids, biogenic amines, and amino acids). The pathways analysis indicated the following pathways were affected: Glutathione metabolism, nitrogen metabolism, glutamine-glutamate metabolism, arginine-ornithine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis etc. Conclusion: The analysis allowed the identification of a set of metabolites able to classify RRMS and PPMS patients, each of whom express different patterns of metabolites in the two biofluids.
多发性硬化症(MS)是一种慢性中枢神经系统免疫介导疾病,临床表现和疾病进展高度可变。在本研究中,我们调查复发缓解型多发性硬化症(RRMS)和原发进展型多发性硬化症(PPMS)患者的代谢组学特征,以寻找区分这两种类型的潜在生物标志物。
收集34例患者(RRMS = 22例,PPMS = 12例)的脑脊液(CSF)和血液样本。采用核磁共振(H-NMR)和质谱(与气相色谱和液相色谱联用)作为分析技术。随后进行多变量统计分析;对得到的显著变量进行U-曼-惠特尼检验和多重比较校正。构建受试者工作特征(ROC)曲线并进行通路分析。
对两类患者的血清和脑脊液分析,鉴定出几种改变的代谢物(脂质、生物胺和氨基酸)。通路分析表明以下通路受到影响:谷胱甘肽代谢、氮代谢、谷氨酰胺-谷氨酸代谢、精氨酸-鸟氨酸代谢、苯丙氨酸、酪氨酸和色氨酸生物合成等。结论:该分析鉴定出一组能够区分RRMS和PPMS患者的代谢物,两类患者在两种生物流体中各自表现出不同的代谢物模式。