Multiple studies have suggested that psoriasis may increase the risk of atrial fibrillation (AF). However, the molecular and immune mechanisms underlying this association remain unclear. This study initially downloaded gene expression profiles for psoriasis and AF from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) for both conditions were identified and hub genes were selected. Receiver operating characteristic (ROC) curve analysis and the prediction and validation of transcription factors (TFs) were conducted. Immune cell infiltration was analyzed using the CIBERSORT method. Mendelian randomization (MR) analysis was performed to explore the potential causal relationships between 731 Immunophenotypes and the risk of psoriasis and AF. A total of 1627 DEGs were identified from the psoriasis and AF datasets. Intersection analysis revealed 119 common DEGs. 10 potential biomarker hub genes, including GZMB, FCGR3B, LILRB2, IL7R, CD2, MYD88, NCF2, TLR2, GZMA, and CXCR2. ROC analysis showed that the area under the curve scores for the hub genes were 0.987 and 1.00 for psoriasis and AF, respectively. USF2, NFKB1 and RELA were predicted to be key TFs. Immune cell infiltration analysis indicated significant differences in T cell follicular helper, T cell gamma delta, and monocytes in the two diseases. MR analysis revealed 28 Immunophenotypes potentially associated with psoriasis risk and 18 traits potentially associated with AF risk. Notably, HLA DR + Natural Killer and CD39 on granulocyte cells were identified as influencing the risk of both diseases. This study preliminarily identified biomarkers and explored the molecular mechanisms of psoriasis and AF, highlighting immune cells potentially associated with disease pathogenesis. These findings provide a scientific basis for developing new diagnostic and therapeutic strategies, aiding in better prevention and management of AF risk in psoriasis patients.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00403-024-03713-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Identify and analyze ferroptosis-related molecular modules and immune signatures in epilepsy using microarray-based transcriptome profiling and single-cell sequencing.
Gene
January 2025
Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150081, PR China. Electronic address:
Currently, the pathogenesis of epilepsy remains poorly understood. Although there is evidence indicating that iron death might play a significant role, its molecular immunological mechanisms are largely unknown. This study was designed to analyze and explore the molecular mechanisms and immunological characteristics of iron death-related genes in epilepsy.
View Article and Find Full Text PDFIntegrative bioinformatics approaches reveal key hub genes in cyanobacteria: insights from Synechocystis sp. PCC 6803 and Geminocystis sp. NIES-3708 under abiotic stress conditions.
Genes Genomics
January 2025
Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, 106 91, Stockholm, Sweden.
Background: Cyanobacteria, particularly Synechocystis sp. PCC 6803, serve as model organisms for studying acclimation strategies that enable adaptation to various environmental stresses. Understanding the molecular mechanisms underlying these adaptations provides insight into how cells adjust gene expression in response to challenging conditions.
View Article and Find Full Text PDFIntegrated analysis of ATAC-seq and RNA-seq reveals the chromatin accessibility and transcriptional landscape of immunoglobulin a nephropathy.
Clin Immunol
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China. Electronic address:
Backgrounds: The association between chromatin accessibility in CD4 T cells and Immunoglobulin A nephropathy (IgAN) remains unclear.
Methods: We performed the assay for transposase accessible chromatin with sequencing (ATAC-seq) and RNA sequencing (RNA-seq) on CD4 T cells. ATAC-seq and RNA-seq were conducted to identify differentially accessible regions and differentially expressed genes (DEGs), respectively (P < 0.
Uncovering the chromatin-mediated transcriptional regulatory network governing cold stress responses in fish immune cells.
J Genet Genomics
January 2025
Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Marine Biomedical Science and Technology Innovation Platform of Lin-gang Special Area, Shanghai 201306, China. Electronic address:
Temperature fluctuations challenge ectothermic species, particularly tropical fish dependent on external temperatures for physiological regulation. However, the molecular mechanisms through which low-temperature stress impacts immune responses in these species, especially in relation to chromatin accessibility and epigenetic regulation, remain poorly understood. In this study, we investigate chromatin and transcriptional changes in the head kidney and thymus tissues of Nile tilapia (Oreochromis niloticus), a tropical fish of significant economic importance, under cold stress.
View Article and Find Full Text PDFSingle-cell RNA-seq analysis reveals microenvironmental infiltration of myeloid cells and pancreatic prognostic markers in PDAC.
Discov Oncol
January 2025
Department of General Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Background: Pancreatic ductal adenocarcinoma (PDAC) has a heterogeneous make-up of myeloid cells that influences the therapeutic response and prognosis. However, understanding the myeloid cell at both a genetic and cellular level remains a significant challenge.
Methods: Single-cell RNA sequencing (scRNA-seq) data were downloaded from t the Tumor Immune Single-cell Hub and gene expression data were retrieved from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!