Evidence map›Paper›PMID 38780872›Full record

ArticleJournal of clinical immunology2024

Altered Genome-Wide DNA Methylation in the Duodenum of Common Variable Immunodeficiency Patients.

Mingyi Yang, Mari Kaarbø, Vegard Myhre, Henrik M Reims, Tom H Karlsen, Junbai Wang, Torbjørn Rognes, Bente Halvorsen, Børre Fevang, Knut E A Lundin and 3 more

Abstract read
In one paragraph

Article in Journal of clinical immunology, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. 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

13 authors.

Mingyi YangDepartment of Microbiology, Oslo University Hospital and University of Oslo, Oslo, Norway.
Mari KaarbøDepartment of Microbiology, Oslo University Hospital and University of Oslo, Oslo, Norway.
Vegard MyhreResearch Institute of Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital, Oslo, Norway.
Henrik M ReimsDepartment of Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Tom H KarlsenResearch Institute of Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital, Oslo, Norway.
Junbai WangDepartment of Clinical Molecular Biology (EpiGen), Akershus University Hospital and University of Oslo, Lørenskog, Norway.
Torbjørn RognesDepartment of Microbiology, Oslo University Hospital and University of Oslo, Oslo, Norway.
Bente HalvorsenResearch Institute of Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital, Oslo, Norway.
Børre FevangSection of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Knut E A LundinInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Pål AukrustResearch Institute of Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital, Oslo, Norway.
Magnar BjøråsDepartment of Microbiology, Oslo University Hospital and University of Oslo, Oslo, Norway.
Silje F JørgensenResearch Institute of Internal Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital, Oslo, Norway. s.f.jorgensen@ous-research.no.

Funding

Helse Sør-Øst RHF 2021076Helse Sør-Øst RHF grant 2019089
6 · The paper itself

Abstract

purposeA large proportion of Common variable immunodeficiency (CVID) patients has duodenal inflammation with increased intraepithelial lymphocytes (IEL) of unknown aetiology. The histologic similarities to celiac disease, lead to confusion regarding treatment (gluten-free diet) of these patients. We aimed to elucidate the role of epigenetic DNA methylation in the aetiology of duodenal inflammation in CVID and differentiate it from true celiac disease.

methodsDNA was isolated from snap-frozen pieces of duodenal biopsies and analysed for differences in genome-wide epigenetic DNA methylation between CVID patients with increased IEL (CVID_IEL; n = 5) without IEL (CVID_N; n = 3), celiac disease (n = 3) and healthy controls (n = 3).

resultsThe DNA methylation data of 5-methylcytosine in CpG sites separated CVID and celiac diseases from healthy controls. Differential methylation in promoters of genes were identified as potential novel mediators in CVID and celiac disease. There was limited overlap of methylation associated genes between CVID_IEL and Celiac disease. High frequency of differentially methylated CpG sites was detected in over 100 genes nearby transcription start site (TSS) in both CVID_IEL and celiac disease, compared to healthy controls. Differential methylation of genes involved in regulation of TNF/cytokine production were enriched in CVID_IEL, compared to healthy controls.

conclusionThis is the first study to reveal a role of epigenetic DNA methylation in the etiology of duodenal inflammation of CVID patients, distinguishing CVID_IEL from celiac disease. We identified potential biomarkers and therapeutic targets within gene promotors and in high-frequency differentially methylated CpG regions proximal to TSS in both CVID_IEL and celiac disease.

Indexed as

Celiac DiseaseCommon Variable ImmunodeficiencyCpG IslandsDNA MethylationDuodenumEpigenesis, Genetic5-MethylcytosineAdultFemaleGenome-Wide Association StudyHumansIntraepithelial LymphocytesMaleMiddle AgedPromoter Regions, GeneticYoung Adult5-Methylcytosine5-methylcytosineCeliac diseaseCpG regionsCVIDDuodenumEpigeneticGastrointestinal tractGenome-wide DNA methylationPrimary immunodeficiencyTNF

Identifiers

PMID38780872
PMCPMC11116262

What OpenQuestion 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 OpenQuestion graph.