About this Research Topic
Atrial fibrillation is the most common sustained arrhythmia, currently affecting over 33 million individuals worldwide. Atrial fibrillation is significantly associated with an elevated risk of cardiovascular morbidity and mortality, especially with a fivefold increased risk of stroke. Understanding its mechanism and prevention strategies will alleviate the exacerbation of atrial fibrillation with the aging population. Although previous investigations have made profound progress on atrial fibrillation, further evidence related to its mechanisms and prevention remains urgently needed.
Therefore, this Research Topic is to collect the most up-to-date evidence on the prevention and mechanism of atrial fibrillation. The objective is to generate an impact on the research into atrial fibrillation by collecting high-quality studies and multidisciplinary investigations, for the purposes of enhancing our understanding and the control of atrial fibrillation.
Specifically, this edition welcomes both original research and reviews for basic and population investigations, including:
1) Genetics and epigenetic alterations contributing to atrial fibrillation.
2) Cellular and pathophysiological mechanism related to atrial fibrillation.
3) Bioinformatic analyses and data mining for mechanism exploration of atrial fibrillation.
4) Utilization of omics technologies for atrial fibrillation.
5) Strategies or models for predicting, preventing or diagnosing atrial fibrillation.
Therefore, this Research Topic is to collect the most up-to-date evidence on the prevention and mechanism of atrial fibrillation. The objective is to generate an impact on the research into atrial fibrillation by collecting high-quality studies and multidisciplinary investigations, for the purposes of enhancing our understanding and the control of atrial fibrillation.
Specifically, this edition welcomes both original research and reviews for basic and population investigations, including:
1) Genetics and epigenetic alterations contributing to atrial fibrillation.
2) Cellular and pathophysiological mechanism related to atrial fibrillation.
3) Bioinformatic analyses and data mining for mechanism exploration of atrial fibrillation.
4) Utilization of omics technologies for atrial fibrillation.
5) Strategies or models for predicting, preventing or diagnosing atrial fibrillation.
Keywords: atrial fibrillation, prevention, mechanism
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
