Literature DB >> 30820880

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

Lorena Lorefice1, Federica Murgia2, Giuseppe Fenu2, Jessica Frau2, Giancarlo Coghe2, Maria Rita Murru2, Stefania Tranquilli2, Andrea Visconti3, Maria Giovanna Marrosu2, Luigi Atzori4, Eleonora Cocco2.   

Abstract

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.

Entities:  

Keywords:  Multiple sclerosis; biomarkers; interferon beta 1a; metabolomic analysis; treatment monitoring

Mesh:

Substances:

Year:  2019        PMID: 30820880      PMCID: PMC6694336          DOI: 10.1007/s13311-019-00721-8

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  42 in total

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4.  Cerebrospinal fluid kynurenines in multiple sclerosis; relation to disease course and neurocognitive symptoms.

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5.  Metabolomic analysis identifies altered metabolic pathways in Multiple Sclerosis.

Authors:  Simone Poddighe; Federica Murgia; Lorena Lorefice; Sonia Liggi; Eleonora Cocco; Maria Giovanna Marrosu; Luigi Atzori
Journal:  Int J Biochem Cell Biol       Date:  2017-07-16       Impact factor: 5.085

Review 6.  Predictors of Response to Multiple Sclerosis Therapeutics in Individual Patients.

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Review 7.  Defining and scoring response to IFN-β in multiple sclerosis.

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8.  A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis.

Authors:  Alex M Dickens; James R Larkin; Julian L Griffin; Ana Cavey; Lucy Matthews; Martin R Turner; Gordon K Wilcock; Benjamin G Davis; Timothy D W Claridge; Jacqueline Palace; Daniel C Anthony; Nicola R Sibson
Journal:  Neurology       Date:  2014-09-24       Impact factor: 9.910

9.  Predictors and dynamics of postpartum relapses in women with multiple sclerosis.

Authors:  Stella E Hughes; Tim Spelman; Orla M Gray; Cavit Boz; Maria Trojano; Alessandra Lugaresi; Guillermo Izquierdo; Pierre Duquette; Marc Girard; Francois Grand'Maison; Pierre Grammond; Celia Oreja-Guevara; Raymond Hupperts; Roberto Bergamaschi; Giorgio Giuliani; Jeannette Lechner-Scott; Michael Barnett; Maria Edite Rio; Vincent van Pesch; Maria Pia Amato; Gerardo Iuliano; Mark Slee; Freek Verheul; Edgardo Cristiano; Ricardo Fernández-Bolaños; Dieter Poehlau; Maria Laura Saladino; Norma Deri; Jose Cabrera-Gomez; Norbert Vella; Joseph Herbert; Eli Skromne; Aldo Savino; Cameron Shaw; Fraser Moore; Steve Vucic; Tatjana Petkovska-Boskova; Gavin McDonnell; Stanley Hawkins; Frank Kee; Helmut Butzkueven
Journal:  Mult Scler       Date:  2013-10-09       Impact factor: 6.312

Review 10.  Current Evidence for a Role of the Kynurenine Pathway of Tryptophan Metabolism in Multiple Sclerosis.

Authors:  Michael D Lovelace; Bianca Varney; Gayathri Sundaram; Nunzio F Franco; Mei Li Ng; Saparna Pai; Chai K Lim; Gilles J Guillemin; Bruce J Brew
Journal:  Front Immunol       Date:  2016-08-04       Impact factor: 7.561

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Review 2.  Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment.

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3.  Metabolomic Characterization of Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS).

Authors:  Federica Murgia; Antonella Gagliano; Marcello G Tanca; Noga Or-Geva; Aran Hendren; Sara Carucci; Manuela Pintor; Francesca Cera; Fausto Cossu; Stefano Sotgiu; Luigi Atzori; Alessandro Zuddas
Journal:  Front Neurosci       Date:  2021-05-28       Impact factor: 4.677

Review 4.  Metabolomics in Autoimmune Diseases: Focus on Rheumatoid Arthritis, Systemic Lupus Erythematous, and Multiple Sclerosis.

Authors:  Naeun Yoon; Ah-Kyung Jang; Yerim Seo; Byung Hwa Jung
Journal:  Metabolites       Date:  2021-11-29

Review 5.  Metabolomics as a promising tool for improving understanding of multiple sclerosis: A review of recent advances.

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Journal:  Biomed J       Date:  2022-01-15       Impact factor: 7.892

  5 in total

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