CSF proteome in multiple sclerosis subtypes related to brain lesion transcriptomes

被引:0
|
作者
Maria L. Elkjaer
Arkadiusz Nawrocki
Tim Kacprowski
Pernille Lassen
Anja Hviid Simonsen
Romain Marignier
Tobias Sejbaek
Helle H. Nielsen
Lene Wermuth
Alyaa Yakut Rashid
Peter Høgh
Finn Sellebjerg
Richard Reynolds
Jan Baumbach
Martin R. Larsen
Zsolt Illes
机构
[1] Odense University Hospital,Department of Neurology
[2] University of Southern Denmark,Institute of Clinical Research
[3] University of Southern Denmark,Institute of Molecular Medicine
[4] University of Southern Denmark,Department of Biochemistry and Molecular Biology
[5] TUM School of Life Sciences Weihenstephan,Research Group Computational Systems Medicine, Chair of Experimental Bioinformatics
[6] Technical University of Munich,Danish Dementia Research Centre
[7] Division Data Science in Biomedicine,Department of Neurology
[8] Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Medical School Hannover,Regional Dementia Research Centre, Department of Neurology
[9] Copenhagen University Hospital Rigshospitalet,Department of Clinical Medicine
[10] Service de Neurologie,Danish Multiple Sclerosis Center, Department of Neurology
[11] Sclérose en Plaques,Department of Brain Sciences
[12] Lyon Neuroscience Research Center,Department of Mathematics and Computer Science
[13] Hospital South West Jutland,Chair of Experimental Bioinformatics
[14] University Hospital of Southern Denmark,undefined
[15] Zealand University Hospital,undefined
[16] University of Copenhagen,undefined
[17] Copenhagen University Hospital – Rigshospitalet,undefined
[18] Glostrup,undefined
[19] Denmark.,undefined
[20] Imperial College,undefined
[21] University of Southern Denmark,undefined
[22] TUM School of Life Sciences Weihenstephan,undefined
[23] Technical University of Munich,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [1] CSF proteome in multiple sclerosis subtypes related to brain lesion transcriptomes
    Elkjaer, Maria L.
    Nawrocki, Arkadiusz
    Kacprowski, Tim
    Lassen, Pernille
    Simonsen, Anja Hviid
    Marignier, Romain
    Sejbaek, Tobias
    Nielsen, Helle H.
    Wermuth, Lene
    Rashid, Alyaa Yakut
    Hogh, Peter
    Sellebjerg, Finn
    Reynolds, Richard
    Baumbach, Jan
    Larsen, Martin R.
    Illes, Zsolt
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [2] Molecular Network of the Comprehensive Multiple Sclerosis Brain Lesion Proteome
    Satoh, Jun-ichi
    Tabunoki, Hiroko
    Yamamura, Takashi
    NEUROLOGY, 2009, 72 (11) : A36 - A36
  • [3] Molecular network of the comprehensive multiple sclerosis brain-lesion proteome
    Satoh, J. I.
    Tabunoki, H.
    Yamamura, T.
    MULTIPLE SCLEROSIS JOURNAL, 2009, 15 (05) : 531 - 541
  • [4] Associations Between Different QSM Lesion Subtypes and Brain Atrophy in Multiple Sclerosis
    Reeves, J.
    Mohebbi, M.
    Jakimovski, D.
    Salman, F.
    Bergsland, N.
    Schweser, F.
    Weinstock-Guttman, B.
    Dwyer, M.
    Zivadinov, R.
    MULTIPLE SCLEROSIS JOURNAL, 2023, 29 : 21 - 21
  • [5] Improved CSF classification and lesion detection in MR brain images with Multiple Sclerosis
    Wolff, Yulian
    Miron, Shmuel
    Achiron, Anat
    Greenspan, Hayit
    MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3, 2007, 6512
  • [6] Orthologous proteins of experimental de- and remyelination are differentially regulated in the CSF proteome of multiple sclerosis subtypes
    Martin, Nellie A.
    Nawrocki, Arkadiusz
    Molnar, Viktor
    Elkjaer, Maria L.
    Thygesen, Eva K.
    Palkovits, Miklos
    Acs, Peter
    Sejbaek, Tobias
    Nielsen, Helle H.
    Hegedus, Zoltan
    Sellebjerg, Finn
    Molnar, Tihamer
    Barbosa, Eudes G., V
    Alcaraz, Nicolas
    Gallyas, Ferenc, Jr.
    Svenningsen, Asa F.
    Baumbach, Jan
    Lassmann, Hans
    Larsen, Martin R.
    Illes, Zsolt
    PLOS ONE, 2018, 13 (08):
  • [7] Brain Cortical Lesion Load Is Related to Cognitive Dysfunction in Multiple Sclerosis Patients
    Damasceno, Alfredo
    Damasceno, Benito
    Cendes, Fernando
    NEUROLOGY, 2012, 78
  • [8] Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI
    Wu, Ying
    Warfield, Simon K.
    Tan, I. Leng
    Wells, William M., III
    Meier, Dominik S.
    van Schijndel, Ronald A.
    Barkhof, Frederik
    Guttmann, Charles R. G.
    NEUROIMAGE, 2006, 32 (03) : 1205 - 1215
  • [9] Perfusion MRI in automatic classification of multiple sclerosis lesion subtypes
    Homayouny, Ehsan
    Khayati, Rasoul Mahdavifar
    Nabavi, Seyed Massood
    Karami, Vania
    IET SIGNAL PROCESSING, 2022, 16 (04) : 377 - 390
  • [10] Influence of cerebral lesion volume and lesion distribution on event-related brain potentials in multiple sclerosis
    Sailer, M
    Heinze, HJ
    Tendolkar, I
    Decker, U
    Kreye, O
    Von Rolbicki, U
    Münte, TF
    JOURNAL OF NEUROLOGY, 2001, 248 (12) : 1049 - 1055