Emerging Roles of MicroRNAs in Cardiovascular Biology and Diseases

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".

Deadline for manuscript submissions: closed (15 December 2024) | Viewed by 942

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Guest Editor
Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 80138 Naples, Italy
Interests: clinical cardiology; myocardial infarction; cardiovascular genetics; clinical electrophysiology; molecular cardiology
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Special Issue Information

Dear Colleagues,

As biomarkers of cardiovascular diseases (CDVs), microRNAs (miRs) have been evaluated for use in diagnostic approaches and for monitoring responsiveness to medical, interventional, and surgical treatments in patients with CVDs. This has led to the initiation of many clinical trials and to the development of antago-miR and/or mimic-miR therapies to block and/or promote the expression of specific miRs. This Special Issue on miRs and CVDs will prove a particularly pertinent addition to the field, providing up-to-date insights into delivery antago/mimic-miRs, safety issues, proof of principle in preclinical disease models, clinical trials in CVD patients, and approval of miR drug-based therapy.

Dr. Celestino Sardu
Guest Editor

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Keywords

  • cardiovascular diseases
  • microRNAs
  • antago-microRNAs
  • mimic-microRNAs
  • diagnosis
  • therapy

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Published Papers (1 paper)

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Research

20 pages, 4144 KiB  
Article
MicroRNA-143-3p and miR-452-5p: A Fingerprint for the Diagnosis of Aortic Stenosis in the Geriatric Population
by Mónica Ramos, Francisco Javier Enguita, Fernando Bonet, Rocío Ayala, Francisco Javier Gómez-Pavón, Oscar Campuzano, Rocío Toro and Maribel Quezada-Feijoó
Biomedicines 2025, 13(3), 671; https://doi.org/10.3390/biomedicines13030671 - 10 Mar 2025
Viewed by 692
Abstract
Background/Objectives: Aortic stenosis (AS) is the most common valvular pathology in the geriatric population and is the primary cause of valve replacement. However, misdiagnoses and delays in treatment are common due to comorbidities, frailty, and sedentary lifestyles among elderly individuals. MicroRNAs (miRNAs) are [...] Read more.
Background/Objectives: Aortic stenosis (AS) is the most common valvular pathology in the geriatric population and is the primary cause of valve replacement. However, misdiagnoses and delays in treatment are common due to comorbidities, frailty, and sedentary lifestyles among elderly individuals. MicroRNAs (miRNAs) are highly conserved molecular regulators involved in various cellular processes and have gained recognition as reliable biomarkers in cardiovascular diseases. In the present study, we evaluated plasma miRNAs as potential biomarkers for the early diagnosis of AS in the geriatric population to identify early therapeutic strategies. Methods: This prospective, case–control study included 87 individuals over 75 years of age. The participants were divided into AS (n = 58) and control (n = 29) groups. Results: Fifty-four miRNAs were differentially expressed between patients with AS and controls. Among those genes, 29 were upregulated and 25 were downregulated in patients with AS relative to controls. We selected seven candidate genes (miR-185-5p, miR-143-3p, miR-370-3p, let-7d-3p, miR-452-5p, miR-6787-3p, and miR-21-3p) for experimental validation by qRT–PCR. Only miR-143-3p and miR-452-5p were significantly upregulated in the plasma of patients with AS compared with controls. We developed a multiparametric model by combining the two-miRNA signature with echocardiographic parameters (left ventricular ejection fraction, stroke volume, and global longitudinal strain) to increase diagnostic power; this model yielded sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) values of 78.2%, 70.7%, and 0.837, respectively. Conclusions: In clinical practice, the use of a multiparametric model involving this set of miRNAs combined with echocardiographic variables may improve the accuracy of AS diagnosis and risk stratification. Full article
(This article belongs to the Special Issue Emerging Roles of MicroRNAs in Cardiovascular Biology and Diseases)
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