Identification of microRNAs as diagnostic biomarkers for atrial fibrillation: a systematic review and meta-analysis

Background Genetic factors contribute to the AF pathophysiology by altering the structural and functional properties of proteins involved in different cellular activities. MicroRNAs (miRNAs), which take part in structural and electrical remodeling during the AF evolution, are important genetic elements that must be considered. The aim of study is to determine correlation between the expression of miRNAs and the development of AF, as well as to explain any potential importance of genetic factors in the AF diagnosis. Methods and Results Online scientific databases, including Cochrane, ProQuest, PubMed, and Web of Science were used to conduct the literature search. The keywords were associated with or characterized the relationship between miRNAs and AF. The pooled sensitivity and specificity statistical parameters were analyzed using a random-effects model. The miRNAs had a combined sensitivity and specificity of 0.80 (95% CI = 0.70–0.87) and 0.75 (95% CI = 0.64–0.83) for the diagnosis of AF, respectively. The area under the SROC was 0.84 (95% CI = 0.81–0.87). The DOR was 11.80 (95% CI = 6.79–20.50). This study also revealed that miRNAs had a pooled PLR of 3.16 (95% CI = 2.24–4.45) and NLR of 0.27 (95% CI = 0.18–0.39) for the diagnosis of AF. The miR-425-5p demonstrated the highest sensitivity (0.96, 95% CI, 0.89–0.99). Conclusion The meta-analysis revealed substantial connection between miRNA expression dysregulation and AF, supporting the potential diagnostic role of miRNAs. The miR-425-5p has potential role as a biomarker for AF.

[1]  C. Martínez,et al.  microRNAs as biomarkers of risk of major adverse cardiovascular events in atrial fibrillation , 2023, Frontiers in Cardiovascular Medicine.

[2]  Antônio da Silva Menezes Junior,et al.  Circulating MicroRNAs as Specific Biomarkers in Atrial Fibrillation: A Meta-Analysis , 2023, Non-coding RNA.

[3]  C. Willoughby,et al.  The Role of miR-29 Family in TGF-β Driven Fibrosis in Glaucomatous Optic Neuropathy , 2022, International journal of molecular sciences.

[4]  Tao Chen,et al.  Association of MicroRNAs With Risk of Stroke: A Meta-Analysis , 2022, Frontiers in Neurology.

[5]  Hao Chen,et al.  Upregulated miR-328-3p and its high risk in atrial fibrillation , 2022, Medicine.

[6]  Y. Yuniadi,et al.  A Systematic Review and Meta-Analysis of the Direct Comparison of Second-Generation Cryoballoon Ablation and Contact Force-Sensing Radiofrequency Ablation in Patients with Paroxysmal Atrial Fibrillation , 2022, Journal of personalized medicine.

[7]  Fang Zhang,et al.  Relationship between circulating miRNA-21, atrial fibrosis, and atrial fibrillation in patients with atrial enlargement. , 2021, Annals of palliative medicine.

[8]  Jie Fan,et al.  miR-425-5p is negatively associated with atrial fibrosis and promotes atrial remodeling by targeting CREB1 in atrial fibrillation. , 2021, Journal of cardiology.

[9]  G. Úrrutia,et al.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. , 2021, Revista espanola de cardiologia.

[10]  Yoga Waranugraha,et al.  Direct comparison of non-vitamin K antagonist oral anticoagulant versus warfarin for stroke prevention in non-valvular atrial fibrillation: a systematic review and meta-analysis of real-world evidences , 2021, The Egyptian Heart Journal.

[11]  R. Ding,et al.  Value of miR-21 levels as potential biomarkers in the early diagnosis of hepatocellular carcinoma:a meta-analysis , 2021, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[12]  Reenu Anne Joy,et al.  Diagnostic accuracy of MicroRNA 208b level with respect to different types of atrial fibrillation , 2021, Indian heart journal.

[13]  E. Mayo-Wilson,et al.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2021, Systematic Reviews.

[14]  Vishal Chavda,et al.  Coding and non-coding nucleotides': The future of stroke gene therapeutics. , 2021, Genomics.

[15]  Yuan Tang,et al.  hsa-miR-4443 inhibits myocardial fibroblast proliferation by targeting THBS1 to regulate TGF-β1/α-SMA/collagen signaling in atrial fibrillation , 2021, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[16]  Ling-ling Yu,et al.  Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis , 2021, Medical science monitor : international medical journal of experimental and clinical research.

[17]  Jeroen J. Bax,et al.  2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association of Cardio-Thoracic Surgery (EACTS). , 2020, European heart journal.

[18]  D. Franco,et al.  Genetics and Epigenetics of Atrial Fibrillation , 2020, International journal of molecular sciences.

[19]  J. Laterra,et al.  miR-425-5p, a SOX2 target, regulates the expression of FOXJ3 and RAB31 and promotes the survival of GSCs , 2020, Archives of clinical and biomedical research.

[20]  Chi Zhang,et al.  MicroRNA expression signatures of atrial fibrillation: The critical systematic review and bioinformatics analysis , 2019, Experimental biology and medicine.

[21]  Y. Yuniadi,et al.  Epigenetic implication in atrial fibrillation: a potential biomarker? , 2019, Journal of Laboratory and Precision Medicine.

[22]  Chi Zhang,et al.  Identification of microRNA biomarkers in atrial fibrillation , 2019, Medicine.

[23]  P. Yan,et al.  Circulating MicroRNA-499 as a Diagnostic Biomarker for Acute Myocardial Infarction: A Meta-analysis , 2019, Disease markers.

[24]  M. Cutler,et al.  The role of microRNAs in the development, regulation, and treatment of atrial fibrillation , 2019, Journal of Interventional Cardiac Electrophysiology.

[25]  L. Eliasson,et al.  miR-483-5p associates with obesity and insulin resistance and independently associates with new onset diabetes mellitus and cardiovascular disease , 2018, PloS one.

[26]  S. Cole,et al.  Empirical Comparison of Publication Bias Tests in Meta-Analysis , 2018, Journal of General Internal Medicine.

[27]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[28]  Prashanthan Sanders,et al.  Modifiable Risk Factors and Atrial Fibrillation , 2017, Circulation.

[29]  Jun-fen Ma,et al.  Identification of microRNAs as diagnostic biomarkers for acute myocardial infarction in Asian populations , 2017, Medicine.

[30]  Yi Zhang,et al.  A systematic review and meta-analysis , 2017 .

[31]  A. Darzi,et al.  Elevated serum microRNA 483-5p levels may predict patients at risk of post-operative atrial fibrillation , 2016, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[32]  Ying Xia,et al.  microRNA-328 inhibits cervical cancer cell proliferation and tumorigenesis by targeting TCF7L2. , 2016, Biochemical and biophysical research communications.

[33]  George A Calin,et al.  miRNA Deregulation in Cancer Cells and the Tumor Microenvironment. , 2016, Cancer discovery.

[34]  F. Fernández‐Avilés,et al.  Chronic Atrial Fibrillation Increases MicroRNA-21 in Human Atrial Myocytes Decreasing L-Type Calcium Current , 2014, Circulation. Arrhythmia and electrophysiology.

[35]  Zhonghan Li,et al.  Therapeutic targeting of microRNAs: current status and future challenges , 2014, Nature Reviews Drug Discovery.

[36]  U. Laufs,et al.  Role of miR-21 in the pathogenesis of atrial fibrosis , 2012, Basic Research in Cardiology.

[37]  Susan Mallett,et al.  QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies , 2011, Annals of Internal Medicine.

[38]  F. Schmidt Meta-Analysis , 2008 .

[39]  S. Zhong,et al.  Catheter ablation restores decreased plasma miR-409-3p and miR-432 in atrial fibrillation patients. , 2016, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[40]  Koen Van Laer,et al.  Current status and future challenges , 2015 .

[41]  Nada Esa,et al.  Plasma microRNAs are associated with atrial fibrillation and change after catheter ablation (the miRhythm study). , 2015, Heart rhythm.