Assessing the Metabolomic Profile of Multiple Sclerosis Patients Treated with Interferon Beta 1a by 1H-NMR Spectroscopy

被引:0
|
作者
Lorena Lorefice
Federica Murgia
Giuseppe Fenu
Jessica Frau
Giancarlo Coghe
Maria Rita Murru
Stefania Tranquilli
Andrea Visconti
Maria Giovanna Marrosu
Luigi Atzori
Eleonora Cocco
机构
[1] University of Cagliari,Multiple Sclerosis Centre, Department of Medical Sciences and Public Health, Binaghi Hospital
[2] Merck Serono S.p.A.,Department of Biomedical Sciences
[3] University of Cagliari,undefined
来源
Neurotherapeutics | 2019年 / 16卷
关键词
Multiple sclerosis; metabolomic analysis; biomarkers; interferon beta 1a; treatment monitoring;
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摘要
Metabolomic research has emerged as a promising approach to identify potential biomarkers in multiple sclerosis (MS). The aim of the present study was to determine the effect of interferon beta (IFN ß) on the metabolome of MS patients to explore possible biomarkers of disease activity and therapeutic response. Twenty-one MS patients starting IFN ß therapy (Rebif® 44 μg; s.c. 3 times per week) were enrolled. Blood samples were obtained at baseline and after 6, 12, and 24 months of IFN ß treatment and were analyzed by high-resolution nuclear magnetic resonance spectroscopy. Changes in metabolites were analyzed. After IFN ß exposure, patients  were divided into responders and nonresponders according to the “no evidence of disease activity” (NEDA-3) definition (absence of relapses, disability progression, and magnetic resonance imaging activity), and samples obtained at baseline were analyzed to evaluate the presence of metabolic differences predictive of IFN ß response. The results of the investigation demonstrated differential distribution of baseline samples compared to those obtained during IFN ß exposure, particularly after 24 months of treatment (R2X = 0.812, R2Y = 0.797, Q2 = 0.613, p = 0.003). In addition, differences in the baseline metabolome between responder and nonresponder patients with respect to lactate, acetone, 3-OH-butyrate, tryptophan, citrate, lysine, and glucose levels were found (R2X = 0.442, R2Y = 0.768, Q2 = 0.532, p = 0.01). In conclusion, a metabolomic approach appears to be a promising, noninvasive tool that could potentially contribute to predicting the efficacy of MS therapies.
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页码:797 / 807
页数:10
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