ArticleFrontiers in genetics2021
Identification of Potential Biomarkers for Psoriasis by DNA Methylation and Gene Expression Datasets.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- NLRP3-inflammasome Related Genes as Emerging Biomarkers and Therapeutic Targets in Psoriasis.Inflammation · 2025Article
- Recent progress on DNA methylation in psoriasis.Frontiers in genetics · 2025Review
- Investigating CR1 as an indicated Gene for mild cognitive impairment in type 2 diabetes mellitus.Diabetology & metabolic syndrome · 2024Article
- The new era of immune skin diseases: Exploring advances in basic research and clinical translations.Journal of translational autoimmunity · 2024Article
- Epigenetic characterization of sarcopenia-associated genes based on machine learning and network screening.European journal of medical research · 2024Article
- Article
- Potential mechanisms and drug prediction of Rheumatoid Arthritis and primary Sjögren's Syndrome: A public databases-based study.PloS one · 2024Article
- Efficacy Evaluation of Treatment of Psoriasis Via Narrow Band-Ultraviolet Radiation.Journal of lasers in medical sciences · 2024Article
- Identification of differentially methylated genes for severe acne by genome-wide DNA methylation and gene expression analysis.Epigenetics · 2023Article
- Signaling pathways and targeted therapies for psoriasis.Signal transduction and targeted therapy · 2023Review
- Potential genetic biomarkers predict adverse pregnancy outcome during early and mid-pregnancy in women with systemic lupus erythematosus.Frontiers in endocrinology · 2022Article
- Identification of Potential Biomarkers and Small Molecule Drugs for Cutaneous Melanoma Using Integrated Bioinformatic Analysis.Frontiers in cell and developmental biology · 2022Article
- Association between environmental chemicals co-exposure and peripheral blood immune-inflammatory indicators.Frontiers in public health · 2022Article
- Exploration of Biomarkers of Psoriasis through Combined Multiomics Analysis.Mediators of inflammation · 2022Article
- Identification and Experimental Validation of Marker Genes between Diabetes and Alzheimer's Disease.Oxidative medicine and cellular longevity · 2022Article
- Mast cells as important regulators in the development of psoriasis.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation (DNAm) plays an important role in the pathogenesis of psoriasis through regulating mRNA expressions. This study aimed to identify hub genes regulated by DNAm as biomarkers of psoriasis. Psoriatic skin tissues gene expression and methylation datasets were downloaded from Gene Expression Omnibus (GEO) database. Subsequently, multiple computational approaches, including immune infiltration analysis, enrichment analysis, protein-protein interaction (PPI) network establishment, and machine learning algorithm analysis (lasso, random forest, and SVM-RFE), were performed to analyze the regulatory networks, to recognize hub genes, and to clarify the pathogenesis of psoriasis. Finally, the hypermethylated genes were used to immune cell infiltration analysis, which revealed that psoriasis skin tissues were mainly composed of activated dendritic cells, resting mast cells, T follicular helper cells (cTfh), etc. Differentially expressed-methylated genes (DEMGs) were identified and partitioned into four subgroups and the 97 significantly hypermethylated and downregulated (hyper-down) genes accounted for the highest proportion (47%). Hyper-down genes were mainly enriched in glucose homeostasis, AMP-activated protein kinase (AMPK) signaling pathway, lipid storage disease, partial lipodystrophy, and insulin resistance. Furthermore, insulin receptor substrate 1 (IRS1), Rho guanine nucleotide exchange factor 10 (ARHGEF10) and retinoic acid induced 14 (RAI14) were identified as potential targets. These findings provided new ideas for future studies of psoriasis on the occurrence and the molecular mechanisms.
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