RESUMEN
INTRODUCTION: Atrial fibrillation (AF) is a common arrhythmia associated with aging. Many known risk factors are associated with AF, but many senior individuals do not develop AF despite having multiple risk factors. This finding suggests that other factors may be involved in AF onset. This study aimed to identify upregulated genes in the peripheral blood and left atrium of patients with AF. These genes may serve as potential biomarkers to predict AF onset risk and its complications. METHODS: Gene expression data was analyzed from blood (n = 3) and left atrial samples (n = 15) of patients with AF and sinus rhythm. We evaluated the significant genes identified using p-value analysis of weighted average difference to confirm their rankings. We created figures for the genes using GeneMANIA and performed a functional analysis using Cytoscape3.10.1. Hub and bottleneck genes were identified based on degree and betweenness centrality. We used RefEx to confirm the organs in which the extracted genes were expressed. Heatmaps and Gene ontology term evaluation were performed to further elucidate the biological functions of the genes. RESULTS: We identified 12 upregulated genes (CAST, ASAH1, MAFB, VCAN, DDIT4, FTL, HEXB, PROS1, BNIP3L, PABPC1, YBX3, and S100A6) in both the blood and left atrium of patients with AF. We analyzed the gene functions using GeneMANIA and Cytoscape. The identified genes were involved in a variety of pathways, including lysosomal function and lipid and sphingolipid catabolism. Next, we investigated whether the 12 identified genes identified were systemically expressed or had high organ specificity. Finally, Reference expression (RefEx) was used to analyze the gene expression levels in various tissues. Four genes; FTL, ASAH1, S100A6, and PABPC1, were highly expressed in the normal heart tissue. Finally, we evaluated the expression levels of the 12 genes in the blood of patients with AF using a heatmap. Our findings suggest that the 12 genes identified in this study, especially the lysosome-related genes (FTL and ASAH1), may be involved in AF pathogenesis. CONCLUSION: Lysosome-related genes may be important to understand the AF pathophysiology and to develop AF-related future studies.
RESUMEN
BACKGROUND: Cognitive abilities strongly influence medication adherence among elderly individuals. We aimed to evaluate the relationship between medication adherence and cognitive decline using Lawton's instrumental activities of daily living (IADL) scoring system and the Mini-Mental State Examination (MMSE). METHODS: Receiver-operating characteristic (ROC) curves were used to evaluate the IADL scores and MMSE results. RESULTS: The ROC curve analysis of the IADL and MMSE results revealed that the shopping (MMSE cutoff = 22 points, sensitivity = 0.726, and specificity = 0.683) and responsibility for own medications (MMSE cutoff = 22 points, sensitivity = 0.759, and specificity = 0.720) categories were associated with declining IADL scores during early stage cognitive dysfunction. CONCLUSION: Declining IADL scores in the shopping and responsibility for own medications categories may be effective indices for predicting early-stage cognitive dysfunction in elderly individuals. Cognitive dysfunction screening at pharmacy counters may be useful.
