Literature DB >> 32245176

Multi-Platform Characterization of Cerebrospinal Fluid and Serum Metabolome of Patients Affected by Relapsing-Remitting and Primary Progressive Multiple Sclerosis.

Federica Murgia1, Lorena Lorefice2, Simone Poddighe1, Giuseppe Fenu2, Maria Antonietta Secci2, Maria Giovanna Marrosu2, Eleonora Cocco2, Luigi Atzori1.   

Abstract

BACKGROUND: 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.
METHODS: Cerebrospinal Fluid CSF and blood samples of 34 patients (RRMS n = 22, PPMS n = 12) were collected. Nuclear magnetic resonance (1H-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.
RESULTS: 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.

Entities:  

Keywords:  biomarkers; mass spectrometry; metabolomics; multiple sclerosis; nuclear magnetic resonance; pathways analysis

Year:  2020        PMID: 32245176     DOI: 10.3390/jcm9030863

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  6 in total

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2.  Discovery of Novel Biomarkers for Diagnosing and Predicting the Progression of Multiple Sclerosis Using TMT-Based Quantitative Proteomics.

Authors:  Yijun Shi; Yaowei Ding; Guoge Li; Lijuan Wang; Rasha Alsamani Osman; Jialu Sun; Lingye Qian; Guanghui Zheng; Guojun Zhang
Journal:  Front Immunol       Date:  2021-08-20       Impact factor: 7.561

3.  Multi-Omics Approach to Elucidate Cerebrospinal Fluid Changes in Dogs with Intervertebral Disc Herniation.

Authors:  Anita Horvatić; Andrea Gelemanović; Boris Pirkić; Ozren Smolec; Blanka Beer Ljubić; Ivana Rubić; Peter David Eckersall; Vladimir Mrljak; Mark McLaughlin; Marko Samardžija; Marija Lipar
Journal:  Int J Mol Sci       Date:  2021-10-28       Impact factor: 5.923

Review 4.  Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment.

Authors:  Marianna Gabriella Rispoli; Silvia Valentinuzzi; Giovanna De Luca; Piero Del Boccio; Luca Federici; Maria Di Ioia; Anna Digiovanni; Eleonora Agata Grasso; Valeria Pozzilli; Alessandro Villani; Antonio Maria Chiarelli; Marco Onofrj; Richard G Wise; Damiana Pieragostino; Valentina Tomassini
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5.  Metabolomics Fingerprint Induced by the Intranigral Inoculation of Exogenous Human Alpha-Synuclein Oligomers in a Rat Model of Parkinson's Disease.

Authors:  Federica Murgia; Luigi Atzori; Ezio Carboni; Maria Laura Santoru; Aran Hendren; Augusta Pisanu; Pierluigi Caboni; Laura Boi; Giuliana Fusco; Anna R Carta
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Review 6.  Metabolomics as a promising tool for improving understanding of multiple sclerosis: A review of recent advances.

Authors:  Zhicheng Liu; Jeffrey Waters; Bin Rui
Journal:  Biomed J       Date:  2022-01-15       Impact factor: 7.892

  6 in total

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