Transcriptomics, Proteomics and Bioinformatics in Atrial Fibrillation: A Descriptive Review

Area of Science:

• Cardiology
• Genomics
• Proteomics

Background:

• Atrial fibrillation (AF) is a common arrhythmia affecting millions globally.
• AF significantly increases risks for stroke, heart failure, and other cardiovascular complications.
• Current antiarrhythmic therapies have limitations in efficacy and safety, necessitating new approaches.

Purpose of the Study:

• To review recent advancements in transcriptomics, proteomics, and bioinformatics for AF.
• To explore the potential of novel biomarkers in diagnosing and treating AF.
• To discuss challenges and methods in analyzing biological samples for AF research.

Main Methods:

• Review of transcriptomic techniques (RNA sequencing, microarrays) and proteomic methods (mass spectrometry).
• Examination of bioinformatic approaches for analyzing gene and protein expression data.
• Consideration of blood plasma as a less invasive source for AF biomarkers compared to atrial tissue.

Main Results:

• Long noncoding RNAs, microRNAs, circular RNAs, and cardiac differentiation genes are key in AF pathophysiology.
• Proteomic remodeling contributes to structural, electrical, and ion channel dysfunctions in AF.
• Diverse sample processing and bioinformatics methods are employed across studies.

Conclusions:

• Novel biomarkers from transcriptomics and proteomics hold promise for AF diagnosis and therapy.
• Blood plasma biomarkers offer a viable alternative to invasive atrial tissue analysis.
• Continued research integrating multi-omics data and bioinformatics is crucial for advancing AF management.