An integrated bioinformatics approach for identification of key modulators and biomarkers involved in atrial fibrillation.

Introduction: Atrial fibrillation (AFib) is a sustained form of cardiac arrhythmia that occurs due to sympathetic overdrive, neurohumoral and electrophysiological changes. Sympatho-renal modulatory approach via miRNA-based therapeutics is likely to be an important treatment option for AFib. The stud...

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Publicado en:Journal of Cardiovascular & Thoracic Research Vol. 17; no. 2; pp. 109 - 121
Autores principales: Thahiem, Summan, Ishtiaq, Ayesha, Iftekhar, Faisal, Jan, Muhammad Ishtiaq, Murtaza, Iram
Formato: research tables/charts Journal Article
Publicado: Tabriz University of Medical Sciences Jun2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2025
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      pub: Tabriz University of Medical Sciences
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        10.34172/jcvtr.025.33347
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        atl: An integrated bioinformatics approach for identification of key modulators and biomarkers involved in atrial fibrillation.
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        au:
          Thahiem, Summan
          Ishtiaq, Ayesha
          Iftekhar, Faisal
          Jan, Muhammad Ishtiaq
          Murtaza, Iram
        affil: Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
      sug:
        subj:
          Atrial Fibrillation Familial and Genetic
          Atrial Fibrillation Diagnosis
          MicroRNA Metabolism
          Biological Markers Metabolism
          Sympathetic Nervous System Metabolism
          Kidney Metabolism
          Bioinformatics
          Human
          Gene Expression
          Microarray Analysis
          Gene Expression Profiling
          Signal Transduction
          Receptors, Adrenergic, beta
          Calcium
          Receptors, G-Protein-Coupled
          Health Care Delivery, Integrated
          Molecular Structure
          Genetic Screening
          Health Screening
          Prospective Studies
          Early Diagnosis
          Genetics
          Metabolic Networks and Pathways
          Proteins
          Funding Source
      ab: Introduction: Atrial fibrillation (AFib) is a sustained form of cardiac arrhythmia that occurs due to sympathetic overdrive, neurohumoral and electrophysiological changes. Sympatho-renal modulatory approach via miRNA-based therapeutics is likely to be an important treatment option for AFib. The study was aimed to unravel the common miRNAs as therapeutic targets involved in sympatho- renovascular axis to combat AFib. Methods: We employed the bioinformatics approach to discover differentially expressed genes (DEGs) from microarray gene expression datasets GSE41177 and GSE79768 of AFib patients. Concomitantly, genes associated with sympathetic cardio-renal axis, from Genetic Testing Registry (GTR) of National Center for Biotechnology Information (NCBI) were also analyzed. Overlapping miRNAs that target the maximum number of genes across all three pathological conditions perpetuating AFib were shortlisted. To confirm the reliability of the identified miRNAs, differential expression analysis was performed on miRNA expression profiles GSE190898, GSE68475, GSE70887 and GSE28954 derived from AFib patient samples. Results: ShinyGO analysis revealed enrichment in beta-adrenergic signaling, calcium signaling, as well as G protein-coupled receptor (GPCR) signaling involved in post synaptic membrane potential. The intersection of top 10 modules in miRNA-mRNA network revealed hub miRNAs having highest node degree, maximum neighborhood component (MNC), and maximal clique centrality (MCC) scores. Differential expression analysis revealed hub miRNAs identified through integrated approach were found to be significantly dysregulated in AFib patients. Conclusion: This integrated approach identified 6 hub miRNAs, 4 reported (miR-101-3p, miR-23-3p, miR-27-3p, miR-25-3p) and 2 novel (miR-32-5p, miR-92-3p) miRNAs that might act as putative biomarkers for AFib.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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