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Plasma hsa-miR-22-3p Might Serve as an Early Predictor of Ventricular Function Recovery after ST-Elevation Acute Myocardial Infarction.
Maries, Liana; Moatar, Alexandra Ioana; Chis, Aimee Rodica; Marian, Catalin; Luca, Constantin Tudor; Sirbu, Ioan-Ovidiu; Gaița, Dan.
Afiliación
  • Maries L; Biochemistry Department, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Moatar AI; Doctoral School, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Chis AR; Biochemistry Department, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Marian C; Doctoral School, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Luca CT; Center for Complex Network Science, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Sirbu IO; Biochemistry Department, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
  • Gaița D; Center for Complex Network Science, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Biomedicines ; 11(8)2023 Aug 17.
Article en En | MEDLINE | ID: mdl-37626785
Left ventricle remodeling (LVR) after acute myocardial infarction (aMI) leads to impairment of both systolic and diastolic function, a major contributor to heart failure (HF). Despite extensive research, predicting post-aMI LVR and HF is still a challenge. Several circulant microRNAs have been proposed as LVR predictors; however, their clinical value is controversial. Here, we used real-time quantitative polymerase chain reaction (qRT-PCR) to quantify hsa-miR-22-3p (miR-22) plasma levels on the first day of hospital admission of ST-elevation aMI (STEMI) patients. We analyzed miR-22 correlation to the patients' clinical and paraclinical variables and evaluated its ability to discriminate between post-aMI LVR and non-LVR. We show that miR-22 is an excellent aMI discriminator and can distinguish between LVR and non-LVR patients. The discriminative performance of miR-22 significantly improves the predictive power of a multiple logistic regression model based on four continuous variables (baseline ejection fraction and end-diastolic volume, CK-MB, and troponin). Furthermore, we found that diabetes mellitus, hematocrit level, and the number of erythrocytes significantly influence its levels. These data suggest that miR-22 might be used as a predictor of ventricular function recovery in STEMI patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomedicines Año: 2023 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomedicines Año: 2023 Tipo del documento: Article País de afiliación: Rumanía Pais de publicación: Suiza