Molecular signature of different lesion types in the brain white matter of patients with progressive multiple sclerosis.


Journal

Acta neuropathologica communications
ISSN: 2051-5960
Titre abrégé: Acta Neuropathol Commun
Pays: England
ID NLM: 101610673

Informations de publication

Date de publication:
11 12 2019
Historique:
received: 14 10 2019
accepted: 25 11 2019
entrez: 13 12 2019
pubmed: 13 12 2019
medline: 26 9 2020
Statut: epublish

Résumé

To identify pathogenetic markers and potential drivers of different lesion types in the white matter (WM) of patients with progressive multiple sclerosis (PMS), we sequenced RNA from 73 different WM areas. Compared to 25 WM controls, 6713 out of 18,609 genes were significantly differentially expressed in MS tissues (FDR < 0.05). A computational systems medicine analysis was performed to describe the MS lesion endophenotypes. The cellular source of specific molecules was examined by RNAscope, immunohistochemistry, and immunofluorescence. To examine common lesion specific mechanisms, we performed de novo network enrichment based on shared differentially expressed genes (DEGs), and found TGFβ-R2 as a central hub. RNAscope revealed astrocytes as the cellular source of TGFβ-R2 in remyelinating lesions. Since lesion-specific unique DEGs were more common than shared signatures, we examined lesion-specific pathways and de novo networks enriched with unique DEGs. Such network analysis indicated classic inflammatory responses in active lesions; catabolic and heat shock protein responses in inactive lesions; neuronal/axonal specific processes in chronic active lesions. In remyelinating lesions, de novo analyses identified axonal transport responses and adaptive immune markers, which was also supported by the most heterogeneous immunoglobulin gene expression. The signature of the normal-appearing white matter (NAWM) was more similar to control WM than to lesions: only 465 DEGs differentiated NAWM from controls, and 16 were unique. The upregulated marker CD26/DPP4 was expressed by microglia in the NAWM but by mononuclear cells in active lesions, which may indicate a special subset of microglia before the lesion develops, but also emphasizes that omics related to MS lesions should be interpreted in the context of different lesions types. While chronic active lesions were the most distinct from control WM based on the highest number of unique DEGs (n = 2213), remyelinating lesions had the highest gene expression levels, and the most different molecular map from chronic active lesions. This may suggest that these two lesion types represent two ends of the spectrum of lesion evolution in PMS. The profound changes in chronic active lesions, the predominance of synaptic/neural/axonal signatures coupled with minor inflammation may indicate end-stage irreversible molecular events responsible for this less treatable phase.

Identifiants

pubmed: 31829262
doi: 10.1186/s40478-019-0855-7
pii: 10.1186/s40478-019-0855-7
pmc: PMC6907342
doi:

Substances chimiques

Receptor, Transforming Growth Factor-beta Type II EC 2.7.11.30
TGFBR2 protein, human EC 2.7.11.30

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

205

Subventions

Organisme : Lundbeckfonden
ID : R118-A11472
Pays : International
Organisme : Lundbeckfonden
ID : R260-2017-1247
Pays : International
Organisme : Lundbeckfonden
ID : R296-2018-2502
Pays : International
Organisme : Scleroseforeningen
ID : R458-A31829-B15690
Pays : International
Organisme : Scleroseforeningen
ID : R487-A33600-B15690
Pays : International
Organisme : Jascha Fonden
ID : 5589
Pays : International
Organisme : Direktør Ejnar Jonasson Kaldet Johnsen og Hustrus Mindelegat
ID : 5609
Pays : International
Organisme : Region Syddanmark
ID : 14/24200
Pays : International
Organisme : Odense Universitetshospital
ID : 29A-1501
Pays : International
Organisme : Sanofi Genzyme
ID : REG-NOBA-COMPL-SD-017
Pays : International
Organisme : FIKP
ID : 20765/3/2018/FEKUTSTRAT
Pays : International
Organisme : Villum Fonden
ID : Young Investigator grant nr. 13154
Pays : International
Organisme : Horizon 2020
ID : 777111 (REPOTRIAL).
Pays : International

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Auteurs

Maria L Elkjaer (ML)

Department of Neurology, Odense University Hospital, J.B. Winslowsvej 4, DK-5000, Odense C, Denmark.
Institute of Clinical Research, BRIDGE, University of Southern Denmark, Odense, Denmark.
Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.

Tobias Frisch (T)

Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.

Richard Reynolds (R)

Department of Brain Sciences, Imperial College, London, UK.

Tim Kacprowski (T)

Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Research Group Computational Systems Medicine, Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising-Weihenstephan, Germany.

Mark Burton (M)

Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.

Torben A Kruse (TA)

Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.

Mads Thomassen (M)

Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.

Jan Baumbach (J)

Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising-Weihenstephan, Germany.

Zsolt Illes (Z)

Department of Neurology, Odense University Hospital, J.B. Winslowsvej 4, DK-5000, Odense C, Denmark. zsolt.illes@rsyd.dk.
Institute of Clinical Research, BRIDGE, University of Southern Denmark, Odense, Denmark. zsolt.illes@rsyd.dk.
Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark. zsolt.illes@rsyd.dk.

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Classifications MeSH