Evidence map›Paper›PMID 31053557›Full record

ArticleEBioMedicine2019

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression.

Ewoud Ewing, Lara Kular, Sunjay J Fernandes, Nestoras Karathanasis, Vincenzo Lagani, Sabrina Ruhrmann, Ioannis Tsamardinos, Jesper Tegner, Fredrik Piehl, David Gomez-Cabrero and 1 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.9field-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

38 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 7 countries.

Ewoud EwingDepartment of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17177, Sweden.
Lara KularDepartment of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17177, Sweden.
Sunjay J FernandesUnit of Computational Medicine, Department of Medicine, Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, 17177, Sweden; Science for Life Laboratory, Solna, Sweden.
Nestoras KarathanasisInstitute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, Greece; Computational Medicine Center, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA.
Vincenzo LaganiInstitute of Chemical Biology, Ilia State University, Tbilisi, Georgia; Gnosis Data Analysis PC, Heraklion, Greece.
Sabrina RuhrmannDepartment of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17177, Sweden.
Ioannis TsamardinosGnosis Data Analysis PC, Heraklion, Greece; Department of Computer Science, University of Crete, Heraklion, Greece.
Jesper TegnerUnit of Computational Medicine, Department of Medicine, Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, 17177, Sweden; Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Saudi Arabia; Science for Life Laboratory, Solna, Sweden.
Fredrik PiehlDepartment of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17177, Sweden; Center for Neurology, Academic Specialist Clinic, Stockholm Health Services, Stockholm, Sweden.
David Gomez-CabreroUnit of Computational Medicine, Department of Medicine, Solna, Center for Molecular Medicine, Karolinska Institutet, Stockholm, 17177, Sweden; Translational Bioinformatics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, UK.
Maja JagodicDepartment of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm 17177, Sweden. Electronic address: maja.jagodic@ki.se.
Karolinska Institutet · SEScience for Life Laboratory · SEIlia State University · GEThomas Jefferson University · USUniversidad Publica de Navarra · ESUniversity of Crete · GR

Funding

European Research Council 617393
6 · The paper itself

Abstract

backgroundMultiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis.

methodsWe measured DNA methylation in CD4

findingsB cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster.

interpretationWe utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular. FUND: This work was supported by the Swedish Research Council, Stockholm County Council, AstraZeneca, European Research Council, Karolinska Institutet and Margaretha af Ugglas Foundation.

Indexed as

DNA MethylationImmunitySignal TransductionAdultAgedBiomarkersB-Lymphocyte SubsetsCpG IslandsDisease ProgressionDisease SusceptibilityFemaleHumansImmunophenotypingMaleMiddle AgedMultiple SclerosisBiomarkers450 KDNA methylationEPICEpigeneticsImmune cellsMultiple sclerosisomicsNPCRelapsing-remitting multiple sclerosisSecondary progressive multiple sclerosis

Identifiers

PMID31053557
PMCPMC6558224
OpenAlexW2942879774

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.