Evidence map›Paper›PMID 34911760›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Specific hypomethylation programs underpin B cell activation in early multiple sclerosis.

Qin Ma, Stacy J Caillier, Shaun Muzic, University of California San Francisco MS-EPIC Team, Michael R Wilson, Roland G Henry, Bruce A C Cree, Stephen L Hauser, Alessandro Didonna, Jorge R Oksenberg

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  12. Myelin-reactive B cells exacerbate CD4Nature communications · 2024
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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

10 authors at 1 institution in 1 country.

Qin MaWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158 qin.ma@ucsf.edu jorge.oksenberg@ucsf.edu.
Stacy J CaillierWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.ORCID 0000-0002-0218-2077
Shaun MuzicWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.ORCID 0000-0001-6017-3964
University of California San Francisco MS-EPIC Team
Michael R WilsonWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.ORCID 0000-0002-8705-5084
Roland G HenryWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.
Bruce A C CreeWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.
Stephen L HauserWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.ORCID 0000-0002-4932-4001
Alessandro DidonnaWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158.ORCID 0000-0001-7510-9658
Jorge R OksenbergWeill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158 qin.ma@ucsf.edu jorge.oksenberg@ucsf.edu.
University of California, San Francisco · US

Funding

The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
P0531582 Oksenberg/Hollenbach R01NS102153 SupplementR01NS102153 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON, OKSENBERG, JORGE R. · 2017 to 2021
$3.6M
Repertoire selection of AQP4-specific T cells that cause CNS autoimmunediseaseR01AI131624 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZAMVIL, SCOTT S · 2019 to 2023
$2.2M
NIAID NIH HHS R01 AI131624NINDS NIH HHS R01 NS102153NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

Epigenetic changes have been consistently detected in different cell types in multiple sclerosis (MS). However, their contribution to MS pathogenesis remains poorly understood partly because of sample heterogeneity and limited coverage of array-based methods. To fill this gap, we conducted a comprehensive analysis of genome-wide DNA methylation patterns in four peripheral immune cell populations isolated from 29 MS patients at clinical disease onset and 24 healthy controls. We show that B cells from new-onset untreated MS cases display more significant methylation changes than other disease-implicated immune cell types, consisting of a global DNA hypomethylation signature. Importantly, 4,933 MS-associated differentially methylated regions in B cells were identified, and this epigenetic signature underlies specific genetic programs involved in B cell differentiation and activation. Integration of the methylome to changes in gene expression and susceptibility-associated regions further indicates that hypomethylated regions are significantly associated with the up-regulation of cell activation transcriptional programs. Altogether, these findings implicate aberrant B cell function in MS etiology.

Indexed as

Lymphocyte ActivationB-LymphocytesCell DifferentiationDNA MethylationEpigenesis, GeneticEpigenomicsFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMultiple SclerosisTranscriptional ActivationB cellhypomethylationmultiple sclerosis

Identifiers

PMID34911760
PMCPMC8713784
OpenAlexW4200058513

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.