Literature DB >> 12809995

1H-NMR spectroscopy combined with pattern recognition analysis reveals characteristic chemical patterns in urines of MS patients and non-human primates with MS-like disease.

Bert A 't Hart1, Jack T W E Vogels, Gerwin Spijksma, Herbert P M Brok, Chris Polman, Jan van der Greef.   

Abstract

Proton nuclear magnetic resonance (1H-NMR) spectroscopy in combination with pattern recognition techniques were used to investigate the composition of organic compounds in urines from patients with multiple sclerosis (MS), patients with other neurological diseases (OND) and healthy controls (H). Using a valid animal model of MS, namely the common marmoset (Callithrix jacchus) model of experimental autoimmune encephalomyelitis (EAE), the relation of disease progression and alteration of the urine composition was investigated. Urine samples were collected during different stages of EAE, either induced with whole human myelin or with the myelin protein MOG in complete adjuvant. The urine samples were analysed with 1H-NMR spectroscopy allowing simultaneous detection of an array of compounds. Spectral differences between urines from EAE-affected and healthy monkeys were assessed with multivariate analysis. Evidence is provided that development of EAE is associated with changes in the chemical composition of the urine, in particular of compounds with NMR peaks in the region of the spectrum between 0.5 and 3.50 ppm. In addition, we found preliminary evidence for differences between urines from MS, OND and H groups.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12809995     DOI: 10.1016/s0022-510x(03)00080-7

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  11 in total

Review 1.  Preclinical (1)H-MRS neurochemical profiling in neurological and psychiatric disorders.

Authors:  Moonnoh R Lee; Aleksandar Denic; David J Hinton; Prasanna K Mishra; Doo-Sup Choi; Istvan Pirko; Moses Rodriguez; Slobodan I Macura
Journal:  Bioanalysis       Date:  2012-07       Impact factor: 2.681

2.  Metabolomics-based discovery of a metabolite that enhances oligodendrocyte maturation.

Authors:  Brittney A Beyer; Mingliang Fang; Benjamin Sadrian; J Rafael Montenegro-Burke; Warren C Plaisted; Bernard P C Kok; Enrique Saez; Toru Kondo; Gary Siuzdak; Luke L Lairson
Journal:  Nat Chem Biol       Date:  2017-11-13       Impact factor: 15.040

Review 3.  Applying genomics to organ transplantation medicine in both discovery and validation of biomarkers.

Authors:  Sunil Kurian; Yevgeniy Grigoryev; Steve Head; Daniel Campbell; Tony Mondala; Daniel R Salomon
Journal:  Int Immunopharmacol       Date:  2007-08-09       Impact factor: 4.932

4.  Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?

Authors:  Gaëlle Favé; M E Beckmann; J H Draper; J C Mathers
Journal:  Genes Nutr       Date:  2009-04-02       Impact factor: 5.523

Review 5.  Experimental autoimmune encephalomyelitis in the common marmoset: a translationally relevant model for the cause and course of multiple sclerosis.

Authors:  Bert A 't Hart
Journal:  Primate Biol       Date:  2019-05-10

6.  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

7.  An Evaluation of 20 Years of EU Framework Programme-Funded Immune-Mediated Inflammatory Translational Research in Non-Human Primates.

Authors:  Krista G Haanstra; Margreet Jonker; Bert A 't Hart
Journal:  Front Immunol       Date:  2016-11-07       Impact factor: 7.561

Review 8.  An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview.

Authors:  Insha Zahoor; Bin Rui; Junaid Khan; Indrani Datta; Shailendra Giri
Journal:  Cell Mol Life Sci       Date:  2021-01-15       Impact factor: 9.261

Review 9.  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
Journal:  Int J Mol Sci       Date:  2021-10-15       Impact factor: 5.923

10.  Gender-dependent progression of systemic metabolic states in early childhood.

Authors:  Janne Nikkilä; Marko Sysi-Aho; Andrey Ermolov; Tuulikki Seppänen-Laakso; Olli Simell; Samuel Kaski; Matej Oresic
Journal:  Mol Syst Biol       Date:  2008-06-03       Impact factor: 11.429

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.