Expression of miR-223 to predict outcomes after transcatheter aortic valve implantation.

aortic stenosis microRNA prognosis transcatheter aortic valve implantation (TAVI)

Journal

Cardiology journal
ISSN: 1898-018X
Titre abrégé: Cardiol J
Pays: Poland
ID NLM: 101392712

Informations de publication

Date de publication:
06 Oct 2022
Historique:
received: 06 03 2022
accepted: 05 08 2022
revised: 14 07 2022
entrez: 6 10 2022
pubmed: 7 10 2022
medline: 7 10 2022
Statut: aheadofprint

Résumé

Transcatheter aortic valve implantation (TAVI) is an established treatment for aortic stenosis (AS) in patients at increased surgical risk. Up to 29% of patients annually experience major adverse cardiac and cerebrovascular events (MACCE) after TAVI. MicroRNAs (miRNA) are currently widely investigated as novel cardiovascular biomarkers. The aim of this study was to determine the influence of TAVI on the expressions of selected miRNAs associated with platelet function (miR-125a-5p, miR-125b and miR-223), and evaluate the predictive value of these miRNAs for MACCE in 65 patients undergoing TAVI. Venous blood samples for miRNA expression analysis were collected 1 day before TAVI and at hospital discharge. The expression of miR-223, miR-125a-5p, miR-125b was evaluated in platelet-depleted plasma. The expression of miR-223 and miR-125b increased after TAVI, compared to the measurement before (p = 0.020, p = 0.003, respectively). Among 63 patients discharged from the hospital, 18 patients experienced MACCE (29%) during the median 15 months of observation. Baseline low miR-223 expression was a predictor of MACCE in univariate Cox regression analysis (hazard ratio [HR]: 2.71, 95% confidence interval [CI]: 1.04-7.01; p = 0.041). After inclusion of covariates, age, gender (male), New York Heart Association class and diabetes into the multivariate Cox regression model, miR-223 did not reach statistical significance (HR: 2.56, 95% CI: 0.79-8.33; p = 0.118). To conclude, miR-223 might improve risk stratification after TAVI. Further studies are required to confirm the clinical applicability of this promising biomarker.

Sections du résumé

BACKGROUND BACKGROUND
Transcatheter aortic valve implantation (TAVI) is an established treatment for aortic stenosis (AS) in patients at increased surgical risk. Up to 29% of patients annually experience major adverse cardiac and cerebrovascular events (MACCE) after TAVI. MicroRNAs (miRNA) are currently widely investigated as novel cardiovascular biomarkers. The aim of this study was to determine the influence of TAVI on the expressions of selected miRNAs associated with platelet function (miR-125a-5p, miR-125b and miR-223), and evaluate the predictive value of these miRNAs for MACCE in 65 patients undergoing TAVI.
METHODS METHODS
Venous blood samples for miRNA expression analysis were collected 1 day before TAVI and at hospital discharge. The expression of miR-223, miR-125a-5p, miR-125b was evaluated in platelet-depleted plasma.
RESULTS RESULTS
The expression of miR-223 and miR-125b increased after TAVI, compared to the measurement before (p = 0.020, p = 0.003, respectively). Among 63 patients discharged from the hospital, 18 patients experienced MACCE (29%) during the median 15 months of observation. Baseline low miR-223 expression was a predictor of MACCE in univariate Cox regression analysis (hazard ratio [HR]: 2.71, 95% confidence interval [CI]: 1.04-7.01; p = 0.041). After inclusion of covariates, age, gender (male), New York Heart Association class and diabetes into the multivariate Cox regression model, miR-223 did not reach statistical significance (HR: 2.56, 95% CI: 0.79-8.33; p = 0.118).
CONCLUSIONS CONCLUSIONS
To conclude, miR-223 might improve risk stratification after TAVI. Further studies are required to confirm the clinical applicability of this promising biomarker.

Identifiants

pubmed: 36200549
pii: VM/OJS/J/88863
doi: 10.5603/CJ.a2022.0090
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ceren Eyileten (C)

Department of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology, Medical University of Warsaw, Poland.

Alicja Skrobucha (A)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Miłosz Starczyński (M)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Maria Boszko (M)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Joanna Jarosz-Popek (J)

Department of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology, Medical University of Warsaw, Poland.

Alex Fitas (A)

Department of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology, Medical University of Warsaw, Poland.

Krzysztof J Filipiak (KJ)

Department of Clinical Sciences, Maria Sklodowska-Curie Medical Academy, Warsaw, Poland.

Janusz Kochman (J)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Zenon Huczek (Z)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Bartosz Rymuza (B)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Radosław Wilimski (R)

Department of Cardiac Surgery, Medical University of Warsaw, Poland. radoslaw.wilimski@wum.edu.pl.

Mariusz Kuśmierczyk (M)

Department of Cardiac Surgery, Medical University of Warsaw, Poland.

Jolanta M Siller-Matula (JM)

Department of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology, Medical University of Warsaw, Poland.
Department of Cardiology, Medical University of Vienna, Austria.

Marek Postula (M)

Department of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology, Medical University of Warsaw, Poland.

Aleksandra Gąsecka (A)

1st Chair and Department of Cardiology, Medical University of Warsaw, Poland.

Classifications MeSH