Literature DB >> 33603109

CSF proteome in multiple sclerosis subtypes related to brain lesion transcriptomes.

Maria L Elkjaer1,2,3, Arkadiusz Nawrocki4, Tim Kacprowski5,6, Pernille Lassen4, Anja Hviid Simonsen7, Romain Marignier8, Tobias Sejbaek1,9, Helle H Nielsen1,2,3, Lene Wermuth1,2, Alyaa Yakut Rashid9, Peter Høgh10,11, Finn Sellebjerg12, Richard Reynolds13, Jan Baumbach14,15, Martin R Larsen4, Zsolt Illes16,17,18.   

Abstract

To identify markers in the CSF of multiple sclerosis (MS) subtypes, we used a two-step proteomic approach: (i) Discovery proteomics compared 169 pooled CSF from MS subtypes and inflammatory/degenerative CNS diseases (NMO spectrum and Alzheimer disease) and healthy controls. (ii) Next, 299 proteins selected by comprehensive statistics were quantified in 170 individual CSF samples. (iii) Genes of the identified proteins were also screened among transcripts in 73 MS brain lesions compared to 25 control brains. F-test based feature selection resulted in 8 proteins differentiating the MS subtypes, and secondary progressive (SP)MS was the most different also from controls. Genes of 7 out these 8 proteins were present in MS brain lesions: GOLM was significantly differentially expressed in active, chronic active, inactive and remyelinating lesions, FRZB in active and chronic active lesions, and SELENBP1 in inactive lesions. Volcano maps of normalized proteins in the different disease groups also indicated the highest amount of altered proteins in SPMS. Apolipoprotein C-I, apolipoprotein A-II, augurin, receptor-type tyrosine-protein phosphatase gamma, and trypsin-1 were upregulated in the CSF of MS subtypes compared to controls. This CSF profile and associated brain lesion spectrum highlight non-inflammatory mechanisms in differentiating CNS diseases and MS subtypes and the uniqueness of SPMS.

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Year:  2021        PMID: 33603109      PMCID: PMC7892884          DOI: 10.1038/s41598-021-83591-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  48 in total

1.  Defining active progressive multiple sclerosis.

Authors:  Finn Sellebjerg; Lars Börnsen; Cecilie Ammitzbøll; Jørgen Erik Nielsen; Tua Vinther-Jensen; Lena Elisabeth Hjermind; Marina von Essen; Rikke Lenhard Ratzer; Per Soelberg Sørensen; Jeppe Romme Christensen
Journal:  Mult Scler       Date:  2017-08-23       Impact factor: 6.312

2.  High-density lipoprotein cholesterol is associated with multiple sclerosis fatigue: A fatigue-metabolism nexus?

Authors:  Richard W Browne; Dejan Jakimovski; Nicole Ziliotto; Jens Kuhle; Francesco Bernardi; Bianca Weinstock-Guttman; Robert Zivadinov; Murali Ramanathan
Journal:  J Clin Lipidol       Date:  2019-06-18       Impact factor: 4.766

Review 3.  Neuromyelitis Spectrum Disorders.

Authors:  Brian G Weinshenker; Dean M Wingerchuk
Journal:  Mayo Clin Proc       Date:  2017-04       Impact factor: 7.616

4.  Novel role of TGF-beta in differential astrocyte-TIMP-1 regulation: implications for HIV-1-dementia and neuroinflammation.

Authors:  Alok Dhar; Jessica Gardner; Kathleen Borgmann; Li Wu; Anuja Ghorpade
Journal:  J Neurosci Res       Date:  2006-05-15       Impact factor: 4.164

Review 5.  Structure and function of the contactin-associated protein family in myelinated axons and their relationship with nerve diseases.

Authors:  Yan Zou; Wei-Feng Zhang; Hai-Ying Liu; Xia Li; Xing Zhang; Xiao-Fang Ma; Yang Sun; Shi-Yi Jiang; Quan-Hong Ma; De-En Xu
Journal:  Neural Regen Res       Date:  2017-09       Impact factor: 5.135

6.  Cell-Type Specific Analysis of Selenium-Related Genes in Brain.

Authors:  Alexandru R Sasuclark; Vedbar S Khadka; Matthew W Pitts
Journal:  Antioxidants (Basel)       Date:  2019-05-05

7.  Combined Cerebrospinal Fluid Neurofilament Light Chain Protein and Chitinase-3 Like-1 Levels in Defining Disease Course and Prognosis in Multiple Sclerosis.

Authors:  Sara Gil-Perotin; Jessica Castillo-Villalba; Laura Cubas-Nuñez; Raquel Gasque; David Hervas; Josep Gomez-Mateu; Carmen Alcala; Francisco Perez-Miralles; Francisco Gascon; Jose Andres Dominguez; Bonaventura Casanova
Journal:  Front Neurol       Date:  2019-09-23       Impact factor: 4.003

8.  PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features.

Authors:  Veit Schwämmle; Christina E Hagensen; Adelina Rogowska-Wrzesinska; Ole N Jensen
Journal:  Mol Cell Proteomics       Date:  2020-05-18       Impact factor: 5.911

Review 9.  Personalized medicine in multiple sclerosis: hope or reality?

Authors:  Tobias Derfuss
Journal:  BMC Med       Date:  2012-10-04       Impact factor: 8.775

10.  Proteomic analysis of cerebrospinal fluid for relapsing-remitting multiple sclerosis and clinically isolated syndrome.

Authors:  Zbyšek Pavelek; Oldřich Vyšata; Vojtěch Tambor; Kristýna Pimková; Dai Long Vu; Kamil Kuča; Pavel Šťourač; Martin Vališ
Journal:  Biomed Rep       Date:  2016-04-28
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  2 in total

Review 1.  Proteomics in Multiple Sclerosis: The Perspective of the Clinician.

Authors:  Dániel Sandi; Zsófia Kokas; Tamás Biernacki; Krisztina Bencsik; Péter Klivényi; László Vécsei
Journal:  Int J Mol Sci       Date:  2022-05-05       Impact factor: 6.208

2.  A Systematic Review of Tissue and Single Cell Transcriptome/Proteome Studies of the Brain in Multiple Sclerosis.

Authors:  Maria L Elkjaer; Richard Röttger; Jan Baumbach; Zsolt Illes
Journal:  Front Immunol       Date:  2022-03-02       Impact factor: 7.561

  2 in total

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