Evidence map›Paper›PMID 31023379›Full record

ArticleActa neuropathologica communications2019

Unique RNA signature of different lesion types in the brain white matter in progressive multiple sclerosis.

Maria L Elkjaer, Tobias Frisch, Richard Reynolds, Tim Kacprowski, Mark Burton, Torben A Kruse, Mads Thomassen, Jan Baumbach, Zsolt Illes

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Acta neuropathologica communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Maria L ElkjaerDepartment of Neurology, Odense University Hospital, J.B. Winslowsvej 4, DK-5000, Odense, Denmark.
Tobias FrischDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Richard ReynoldsDivision of Brain Science, Imperial College, London, UK.
Tim KacprowskiDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Mark BurtonDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Torben A KruseInstitute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Mads ThomassenInstitute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Jan BaumbachDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Zsolt IllesDepartment of Neurology, Odense University Hospital, J.B. Winslowsvej 4, DK-5000, Odense, Denmark. zsolt.illes@rsyd.dk.ORCID 0000-0001-9655-0450
University of Southern Denmark · DKImperial College London · GBOdense University Hospital · DK

Funding

Direktør Ejnar Jonasson Kaldet Johnsen og Hustrus Mindelegat 5609FIKP 2 theme 20765/3/2018/FEKUTSTRATH2020 European Research Council 777111 (REPOTRIAL).Jascha Fonden 5589Lundbeckfonden R118-A11472Lundbeckfonden R260-2017-1247Lundbeckfonden R296-2018-2502Odense Universitetshospital 29A-1501Sanofi REG-NOBA-COMPL-SD-017Scleroseforeningen R458-A31829-B15690Scleroseforeningen R487-A33600-B15690South Denmark Region 14/24200Villum Fonden Young Investigator grant nr. 13154
6 · The paper itself

Abstract

The heterogeneity of multiple sclerosis is reflected by dynamic changes of different lesion types in the brain white matter (WM). To identify potential drivers of this process, we RNA-sequenced 73 WM areas from patients with progressive MS (PMS) and 25 control WM. Lesion endophenotypes were described by a computational systems medicine analysis combined with RNAscope, immunohistochemistry, and immunofluorescence. The signature of the normal-appearing WM (NAWM) was more similar to control WM than to lesions: one of the six upregulated genes in NAWM was CD26/DPP4 expressed by microglia. Chronic active lesions that become prominent in PMS had a signature that were different from all other lesion types, and were differentiated from them by two clusters of 62 differentially expressed genes (DEGs). An upcoming MS biomarker, CHI3L1 was among the top ten upregulated genes in chronic active lesions expressed by astrocytes in the rim. TGFβ-R2 was the central hub in a remyelination-related protein interaction network, and was expressed there by astrocytes. We used de novo networks enriched by unique DEGs to determine lesion-specific pathway regulation, i.e. cellular trafficking and activation in active lesions; healing and immune responses in remyelinating lesions characterized by the most heterogeneous immunoglobulin gene expression; coagulation and ion balance in inactive lesions; and metabolic changes in chronic active lesions. Because we found inverse differential regulation of particular genes among different lesion types, our data emphasize that omics related to MS lesions should be interpreted in the context of lesion pathology. Our data indicate that the impact of molecular pathways is substantially changing as different lesions develop. This was also reflected by the high number of unique DEGs that were more common than shared signatures. A special microglia subset characterized by CD26 may play a role in early lesion development, while astrocyte-derived TGFβ-R2 and TGFβ pathways may be drivers of repair in contrast to chronic tissue damage. The highly specific mechanistic signature of chronic active lesions indicates that as these lesions develop in PMS, the molecular changes are substantially skewed: the unique mitochondrial/metabolic changes and specific downregulation of molecules involved in tissue repair may reflect a stage of exhaustion.

Indexed as

CD26/DPP4Chitinase-3-like protein-1Multiple sclerosis brain lesionsNext-generation RNA sequencingTGF-beta

Identifiers

PMID31023379
PMCPMC6482546
OpenAlexW2983837527

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.