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Identification of microRNA biomarkers in atrial fibrillation: A protocol for systematic review and bioinformatics
Nan-Nan Shen1,2,1, Zai-Li Zhang1, Zheng Li3
1Department of Pharmacy.
Background:
Atrial fibrillation (AF) is recognized as the most prevalent arrhythmia, and its subsequently serious complications of heart failure and thromboembolism always raise the social attention. To date, the molecular pathogenesis of AF has largely remained unclear. Publications of contemporary studies have evaluated individual miRNAs expression signatures for AF, and findings of different studies are inconsistent and not all miRNAs reported are actually important in the pathogenesis of AF.
Methods:
Medline, Embase, and Cochrane Library databases will be comprehensively searched (up to April 30, 2019) for studies identifying miRNA expression profiling in subjects with and without AF. Log10 odds ratios (logORs) and associated 95% confidence interval (95%CI) will be calculated using random-effects models. Subgroup analysis will be performed according to miRNA detecting methods, species, sample types, and ethnicities. Sensitivity analysis will be conducted to detect the robustness of the findings. The methodological quality of studies will be independently assessed using criteria adopted from the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Furthermore, bioinformatics analysis will be performed to identify the potential target genes in AF and the corresponding pathways of dysregulated miRNAs. Two reviewers will independently screen potential studies and extract data in a structured eligibility items, with any disagreements being resolved by consensus.
Results:
The present systematic review will identify potential biomarkers by pooling all differentially expressed miRNAs in AF studies, as well as to predict miRNA-target interactions and to identify the potential biometric functions using bioinformatics analysis.
Conclusions:
This systematic review and bioinformatics analysis will identify several miRNAs as potential biomarkers for AF, and explore the biological pathways regulated by the eligible miRNAs.
Prospero Registration Number:
CRD42019127594.
Insights
This systematic review identifies microRNAs (miRNAs) as potential biomarkers for atrial fibrillation (AF). Bioinformatics analysis will explore their roles in AF pathogenesis and related biological pathways.
Area of Science:
- Cardiology
- Genetics
- Biomarkers
Background:
- Atrial fibrillation (AF) is the most common arrhythmia, with significant complications like heart failure and thromboembolism.
- The molecular mechanisms underlying AF pathogenesis remain largely unknown.
- Previous studies on microRNA (miRNA) expression in AF have yielded inconsistent and inconclusive findings.
Purpose of the Study:
- To systematically review and identify differentially expressed miRNAs in atrial fibrillation (AF) patients.
- To predict miRNA-target interactions and identify potential biometric functions through bioinformatics analysis.
- To explore the biological pathways regulated by dysregulated miRNAs in AF.
Main Methods:
- Comprehensive literature search of Medline, Embase, and Cochrane Library databases up to April 30, 2019.
- Meta-analysis of miRNA expression profiling studies using random-effects models.
- Bioinformatics analysis to predict miRNA targets and pathways; methodological quality assessed using QUADAS-2.
Main Results:
- Identification of potential miRNA biomarkers by pooling data from all eligible AF studies.
- Prediction of miRNA-target interactions and potential biometric functions.
- Exploration of biological pathways associated with dysregulated miRNAs in AF.
Conclusions:
- This systematic review and bioinformatics analysis aims to identify robust miRNA biomarkers for AF.
- The study will elucidate the roles of specific miRNAs and their regulated pathways in AF pathogenesis.
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