Evidence map›Paper›PMID 32817525›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Immune signatures of prodromal multiple sclerosis in monozygotic twins.

Lisa Ann Gerdes, Claudia Janoschka, Maria Eveslage, Bianca Mannig, Timo Wirth, Andreas Schulte-Mecklenbeck, Sarah Lauks, Laura Glau, Catharina C Gross, Eva Tolosa and 8 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Peripheral HLA-DRNeurology(R) neuroimmunology & neuroinflammation · 2025
    Article
  5. Article
  6. Review
  7. CD4Scientific reports · 2024
    Article
  8. Role of fenofibrate in multiple sclerosis.European journal of medical research · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Single-Cell Analysis to Better Understand the Mechanisms Involved in MS.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. [Twin research in Germany].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 5 countries.

Lisa Ann GerdesInstitute of Clinical Neuroimmunology, University Hospital and Biomedical Center, Ludwig-Maximilians Universität München, 81377 Munich, Germany.ORCID 0000-0002-7053-3924
Claudia JanoschkaDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Maria EveslageInstitute of Biostatistics and Clinical Research, University of Münster, 48149 Münster, Germany.ORCID 0000-0002-8802-1134
Bianca MannigDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Timo WirthDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Andreas Schulte-MecklenbeckDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.ORCID 0000-0003-3855-4706
Sarah LauksDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Laura GlauDepartment of Immunology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Catharina C GrossDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Eva TolosaDepartment of Immunology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Andrea Flierl-HechtInstitute of Clinical Neuroimmunology, University Hospital and Biomedical Center, Ludwig-Maximilians Universität München, 81377 Munich, Germany.
Birgit Ertl-WagnerDepartment of Radiology, Grosshadern Medical Campus, Ludwig-Maximilians Universität München, 81377 Munich, Germany.ORCID 0000-0002-7896-7049
Frederik BarkhofUniversity College London Institute of Neurology, University College London, WC1E 6BT London, United Kingdom.ORCID 0000-0003-3543-3706
Sven G MeuthDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.ORCID 0000-0003-2571-3501
Tania KümpfelInstitute of Clinical Neuroimmunology, University Hospital and Biomedical Center, Ludwig-Maximilians Universität München, 81377 Munich, Germany.ORCID 0000-0001-7509-5268
Heinz WiendlDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Reinhard HohlfeldInstitute of Clinical Neuroimmunology, University Hospital and Biomedical Center, Ludwig-Maximilians Universität München, 81377 Munich, Germany.ORCID 0000-0002-6302-1488
Luisa KlotzDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer Campus 1, 48149 Münster, Germany; luisa.klotz@ukmuenster.de.
University Hospital Münster · DELudwig-Maximilians-Universität München · DEUniversität Hamburg · DEMunich Cluster for Systems Neurology · DEUniversity Medical Center · USUniversity of Münster · DEUniversity of Toronto · CA

Funding

Department of Health
6 · The paper itself

Abstract

The tremendous heterogeneity of the human population presents a major obstacle in understanding how autoimmune diseases like multiple sclerosis (MS) contribute to variations in human peripheral immune signatures. To minimize heterogeneity, we made use of a unique cohort of 43 monozygotic twin pairs clinically discordant for MS and searched for disease-related peripheral immune signatures in a systems biology approach covering a broad range of adaptive and innate immune populations on the protein level. Despite disease discordance, the immune signatures of MS-affected and unaffected cotwins were remarkably similar. Twinship alone contributed 56% of the immune variation, whereas MS explained 1 to 2% of the immune variance. Notably, distinct traits in CD4

Indexed as

AdultAgedBiomarkersCohort StudiesDNA MethylationFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultiple SclerosisProdromal SymptomsTwins, MonozygoticBiomarkersautoimmunitybiomarkerimmune phenotypingmonozygotic twinsmultiple sclerosis

Identifiers

PMID32817525
PMCPMC7474627
OpenAlexW2986991266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.