RT journal article
T1 MicroRNA-143-3p and miR-452-5p: A Fingerprint for the Diagnosis of Aortic Stenosis in the Geriatric Population
A1 Ramos, Mónica
A1 Enguita, Francisco Javier
A1 Bonet Martínez, Fernando
A1 Ayala, Rocío
A1 Gómez-Pavón, Francisco Javier
A1 Campuzano, Oscar
A1 Toro Cebada, Rocío
A1 Quezada Feijoó, Maribel
A2 Cirugía
A2 Medicina
K1 aortic stenosis
K1 RNA sequencing
K1 microRNA
K1 geriatric population
AB Aortic stenosis (AS) is the most common valvularpathology 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 highlyconserved molecular regulators involved in various cellular processes and have gainedrecognition as reliable biomarkers in cardiovascular diseases. In the present study, weevaluated plasma miRNAs as potential biomarkers for the early diagnosis of AS in thegeriatric population to identify early therapeutic strategies. Methods: This prospective,case–control study included 87 individuals over 75 years of age. The participants weredivided into AS (n = 58) and control (n = 29) groups. Results: Fifty-four miRNAs weredifferentially 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, miR452-5p, miR-6787-3p, and miR-21-3p) for experimental validation by qRT–PCR. OnlymiR-143-3p and miR-452-5p were significantly upregulated in the plasma of patientswith AS compared with controls. We developed a multiparametric model by combiningthe two-miRNA signature with echocardiographic parameters (left ventricular ejectionfraction, stroke volume, and global longitudinal strain) to increase diagnostic power; thismodel yielded sensitivity, specificity, and area under the receiver operating characteristiccurve (AUC) values of 78.2%, 70.7%, and 0.837, respectively. Conclusions: In clinicalpractice, the use of a multiparametric model involving this set of miRNAs combinedwith echocardiographic variables may improve the accuracy of AS diagnosis and riskstratification.
PB MDPI
SN 2227-9059
YR 2025
FD 2025-03
LK http://hdl.handle.net/10498/37908
UL http://hdl.handle.net/10498/37908
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026