Elucidating the molecular association and potential mechanisms between psoriasis and atrial fibrillation through biomarker and immune infiltration analysis.

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.

Causal association between cardiovascular risk factors and common skin diseases: A multivariate Mendelian randomization study.

Cardiovascular diseases and dermatological conditions are prevalent health issues worldwide. Previous studies have suggested that risk factors for cardiovascular diseases may be associated with the development of dermatological conditions. However, the causal association between these factors remain unclear.

Identification of ferroptosis biomarkers and immune infiltration landscapes in atrial fibrillation: A bioinformatics analysis.

Ferroptosis has been recognized as a critical factor in the development of atrial fibrillation (AF), but its precise mechanisms remain unclear. We downloaded the GSE115574 dataset from the gene expression omnibus database to analyze the expression levels of ferroptosis-related genes (FRGs) and identify differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) machine learning techniques were employed to identify key genes associated with AF.

Explore the genetic exposure to alopecia areata.

Background: Alopecia areata is an autoimmune hair loss disorder with an incompletely understood etiology. Although trace elements, serum metabolites, and inflammatory factors are implicated in the disease, the potential causal relationships between these factors and alopecia areata require further investigation.

Methods: This study employed Mendelian randomization (MR), utilizing data from genome-wide association studies, to explore the causal relationships between 15 trace elements, 1400 serum metabolites, and 91 inflammatory factors and alopecia areata.