Article

Network-based prediction and functional validation of metformin for potential treatment of atrial fibrillation using human inducible pluripotent stem cell-derived atrial-like cardiomyocytes

2021-09-19

Abstract excerpt

Atrial fibrillation (AF) is a significant cause of morbidity and mortality, and effective therapeutic interventions are lacking. Here, we harness an integrative, network medicine approach to repurpose FDA-approved drugs for AF. We hypothesize that the use of an unbiased method for prioritizing AF drugs using patient transcriptomics data can help to identify alternative therapeutic strategies and mechanism-of-actio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6a9384f3-8de8-5bc5-9e17-26340e32fa6a
DOI: 10.1101/2021.09.17.460826

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Network-based prediction and functional validation of metformin for potential treatment of atrial fibrillation using human inducible pluripotent stem cell-derived atrial-like cardiomyocytesDOI 10.1101/2021.09.17.460826Read

Genomic data-driven framework for drug target discovery in atrial fibrillation.Semantic proximity Read

Advancing drug development for atrial fibrillation by prioritising findings from human genetic association studies.Semantic proximity Read

C-C,N,S treats atrial fibrillation through regulating inflammatory procession: a study of network pharmacology research and gene set enrichment analysis validationSemantic proximity Read

Weighted gene co‑expression network analysis to identify key modules and hub genes associated with atrial fibrillationSemantic proximity Read

Large-scale multi-omics identifies drug targets for heart failure with reduced and preserved ejection fraction.Semantic proximity Read

Integration of transcriptome and mendelian randomization analyses to explore the molecular mechanisms of atrial fibrillation.Semantic proximity Read

Drug Discovery and Development for Heart Failure Using Multi-Omics ApproachesSemantic proximity Read

Weighted gene coexpression network analysis of human left atrial tissue identifies gene modules associated with atrial fibrillation.Semantic proximity Read

Mutant ANP induces mitochondrial and ion channel remodeling in a human iPSC–derived atrial fibrillation modelSemantic proximity Read

Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genesSemantic proximity Read

Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart diseaseSemantic proximity Read

Crosstalk between Atrial Cardiomyocytes and Epicardial Adipose Tissue in Atrial Fibrillation: Insights from Machine Learning Methods and Rat Atrial Fibrillation ModelSemantic proximity Read