ReviewMolecular biology reports2022
Functional implications of the CpG island methylation in the pathogenesis of celiac disease.
Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- An integrated nutritional and performance monitoring framework for athletes with celiac disease: A structured narrative review.Current research in food science · 2026Review
- Molecular regulation of whole genome DNA methylation in heat stress response of dairy cows.BMC genomics · 2025Article
- LINE-1 hypomethylation characterizes the inflammatory response in coeliac disease associated-intestinal mucosa and small bowel adenocarcinomas.The Journal of pathology · 2025Article
- Research progress and applications of epigenetic biomarkers in cancer.Frontiers in pharmacology · 2024Review
- Malignancies in Patients with Celiac Disease: Diagnostic Challenges and Molecular Advances.Genes · 2023Review
- Gut dysbiosis: cause or consequence of intestinal inflammation in celiac disease?Expert review of gastroenterology & hepatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Investigation of gene-environment cross talk through epigenetic modifications led to better understanding of the number of complex diseases. Clinical heterogeneity and differential treatment response often contributed by the epigenetic signatures which could be personal. DNA methylation at CpG islands presents a critical nuclear process as a result of gene-environment interactions. These CpG islands are frequently present near the promoter sequence of genes and get differentially methylated under specific environmental conditions. Technical advancements facilitate in high throughput screening of differentially methylated CpG islands. Recent epigenetic studies unraveled several CD susceptibility genes expressed in peripheral blood lymphocytes (PBLs), duodenal mucosa, lamina and epithelial cells that are influenced by differentially methylated CpG islands. Here we highlighted these susceptibility genes; classify these genes based on cellular functions and tissue of expression. We further discussed how these genes interacts with each other to influence critical pathways like NF-κB signaling pathway, IL-17 signaling cascade, RIG-I like receptor signaling pathway, NOD-like receptor pathways among several others. This review also shed light on how gut microbiota may lead to the differential methylation of CpG islands of CD susceptibility genes. Large scale epigenetic studies followed by estimation of heritability of these CpG methylation and polygenic risk score estimation of these genes would prioritize potentially druggable targets for better therapeutics. In vivo studies are warranted to unravel further cellular responses to CpG methylation.
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What OpenQuestion holds
Registered trials
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.