Evidence map›Paper›PMID 37106402›Full record

ArticleJournal of neuroinflammation2023

Prominent epigenetic and transcriptomic changes in CD4

Alberto Zenere, Sandra Hellberg, Georgia Papapavlou Lingehed, Maria Svenvik, Johan Mellergård, Charlotte Dahle, Magnus Vrethem, Johanna Raffetseder, Mohsen Khademi, Tomas Olsson and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroinflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. [Clinical and obstetric characteristics in women with multiple sclerosis during pregnancy].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Article
  2. Review
  3. Review
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

15 authors at 3 institutions in 1 country.

Alberto Zenere *Division of Automatic Control, Department of Electrical Engineering, Linköping University, Linköping, Sweden.
Sandra Hellberg *Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden. sandra.hellberg@liu.se.
Georgia Papapavlou Lingehed *Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Maria SvenvikDivision of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Johan MellergårdDepartment of Neurology, Linköping University, Linköping, Sweden.
Charlotte DahleDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Magnus VrethemDepartment of Neurology, Linköping University, Linköping, Sweden.
Johanna RaffetsederDivision of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Mohsen KhademiNeuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Tomas OlssonNeuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Marie BlombergDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Maria C JenmalmDivision of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Claudio AltafiniDivision of Automatic Control, Department of Electrical Engineering, Linköping University, Linköping, Sweden.
Mika Gustafsson *Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden. mika.gustafsson@liu.se.
Jan ErnerudhDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Linköping University · SEKarolinska Institutet · SELandstinget i Kalmar län · SE

Funding

Forskningsrådet i Sydöstra Sverige FORSS-315121Neuroförbundet F2018-0052Stiftelsen för Strategisk Forskning SB16-0011Vetenskapsrådet 2018-02776
6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a neuroinflammatory disease in which pregnancy leads to a temporary amelioration in disease activity as indicated by the profound decrease in relapses rate during the 3rd trimester of pregnancy. CD4

methodsWomen with MS and healthy controls were longitudinally sampled before, during (1st, 2nd and 3rd trimesters) and after pregnancy. DNA methylation array and RNA sequencing were performed on paired CD4

resultsBoth DNA methylation and RNA sequencing revealed a prominent regulation, mostly peaking in the 3rd trimester and reversing post-partum, thus mirroring the clinical course with improvement followed by a worsening in disease activity. This rebound pattern was found to represent a general adaptation of the maternal immune system, with only minor differences between MS and controls. By using a network-based approach, we highlighted several genes at the core of this pregnancy-induced regulation, which were found to be enriched for genes and pathways previously reported to be involved in MS. Moreover, these pathways were enriched for in vitro stimulated genes and pregnancy hormones targets.

conclusionThis study represents, to our knowledge, the first in-depth investigation of the methylation and expression changes in peripheral CD4

Indexed as

Multiple SclerosisCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesEpigenesis, GeneticFemaleHumansInflammationPregnancyTranscriptomeCD4+CD8+MethylationModulesMultiple sclerosisNetworksPregnancyT cellsTranscriptomics

Identifiers

PMID37106402
PMCPMC10134602
OpenAlexW4367181104

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.