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1.
Biomedicines ; 12(4)2024 Apr 06.
Article in English | MEDLINE | ID: mdl-38672166

ABSTRACT

Atrial fibrillation (AFib), the most prevalent arrhythmia in clinical practice, presents a growing global health concern, particularly with the aging population, as it is associated with devastating complications and an impaired quality of life. Its pathophysiology is multifactorial, including the pathways of fibrosis, inflammation, and oxidative stress. MicroRNAs (miRNAs), small non-coding RNA molecules, have emerged as substantial contributors in AFib pathophysiology, by affecting those pathways. In this review, we explore the intricate relationship between miRNAs and the aforementioned aspects of AFib, shedding light on the molecular pathways as well as the potential diagnostic applications. Recent evidence also suggests a possible role of miRNA therapeutics in maintenance of sinus rhythm via the antagonism of miR-1 and miR-328, or the pharmacological upregulation of miR-27b and miR-223-3p. Unraveling the crosstalk between specific miRNA profiles and genetic predispositions may pave the way for personalized therapeutic approaches, setting the tone for precision medicine in atrial fibrillation.

2.
Hellenic J Cardiol ; 2024 Mar 05.
Article in English | MEDLINE | ID: mdl-38453014

ABSTRACT

BACKGROUND: New-onset postoperative atrial fibrillation (POAF) after coronary artery bypass surgery (CABG) occurs with an incidence of 20-40%. The clinical relevance of POAF remains a concern, and the need for further studies regarding the clinical management of POAF is necessary. AIM: The AFRODITE study, a prospective multicenter cohort study, had as its primary endpoint the evaluation of AF recurrence in patients post CABG over a one-year period. METHODS: Two hundred twenty-eight patients aged >50 years who underwent isolated CABG were included in the study. Patients were stratified into two groups, POAF and non-POAF, and followed for 12 months for AF recurrence, hospitalizations, and death. RESULTS: Two hundred twenty-eight patients (mean age 67 years, 88.6% male) were included in the study. 28.5% of patients experienced at least one episode of POAF during index hospitalization (POAF group) and were compared with the non-POAF group (n = 163). Multivariate stepwise logistic regression analysis showed that the strongest prognostic parameter for POAF was the CHA2DS2-VASc score (odds ratio = 1.61, p < 0.001). POAF patients had a worse in-hospital outcome, but the incidence of long-term AF recurrence was not statistically different (3.6% vs. 4.8%, p = 0.9). CONCLUSION: Interestingly, a one-year prospective follow-up of patients in the study did not reveal significant differences between POAF and non-POAF patients. A notable finding was that patients with a higher CHA2DS2-VASc score were more likely to develop POAF.

3.
Eur Heart J ; 44(45): 4729-4730, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-37794638
4.
Int J Mol Sci ; 23(1)2021 Dec 21.
Article in English | MEDLINE | ID: mdl-35008432

ABSTRACT

Atrial fibrillation (AF) is the most frequent arrhythmia managed in clinical practice, and it is linked to an increased risk of death, stroke, and peripheral embolism. The Global Burden of Disease shows that the estimated prevalence of AF is up to 33.5 million patients. So far, successful therapeutic techniques have been implemented, with a high health-care cost burden. As a result, identifying modifiable risk factors for AF and suitable preventive measures may play a significant role in enhancing community health and lowering health-care system expenditures. Several mechanisms, including electrical and structural remodeling of atrial tissue, have been proposed to contribute to the development of AF. This review article discusses the predisposing factors in AF including the different pathogenic mechanisms, sedentary lifestyle, and dietary habits, as well as the potential genetic burden.


Subject(s)
Atrial Fibrillation/pathology , Gene Regulatory Networks , Atrial Fibrillation/economics , Atrial Fibrillation/genetics , Atrial Fibrillation/metabolism , Genetic Predisposition to Disease , Health Care Costs , Humans , Life Style , Risk Factors
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