Among arrhythmias, atrial fibrillation is one of the most prevalent. The most popular procedure for treating atrial fibrillation is now surgery. The prognosis is significantly impacted by postoperative atrial fibrillation recurrence, regardless of whether it is treated with maze or radiofrequency ablation. Genes are linked to the onset, progression of AF, as well as to individual variability in recurrence. Through bioinformatics analysis of open data sets, we sought to uncover probable important genes associated with AF recurrence in the current study. Differentially expressed genes (DEGs) were found using the GSE176166 microarray data set that was downloaded from the Gene Expression Omnibus (GEO) database. Based on the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Disease Ontology (DO) resources, functional enrichment studies were conducted. Using the STRING database, a protein-protein interaction (PPI) network was created. Possible essential genes were then chosen using the important bioinformatics data given before. The association of possible key genes with AF recurrence (AFR) was investigated using the comparative toxicogenomics database (CTD). In comparison to controls with sinus rhythm, we discovered 27 DEGs with |log2 FC|≥1 and 7 with |log2 FC|≥3.5 fold changes in gene expression in AFR patients. The probable bringing great were TNNC1, GABARAPL1, GNAS, PHLPP1, ELL2, SNORD108 and miR-548v. With AF, CTD revealed that TNNC1, GABARAPL1, GNAS,PHLPP1, and ELL2 had increased scores. The 4 possible risk factors for AFR, TNNC1, GABARAPL1, GNAS and PHLPP1 may be connected. Our research revealed novel genetic, molecular etiology, and treatment targets of AFR.

Correction for ‘The design of Janus black phosphorus quantum dots@metal–organic nanoparticles for simultaneously enhancing environmental stability and photodynamic therapy efficiency’ by Da Zhang et al., Mater. Chem. Front., 2019, 3, 656–663.