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Chronological and biological aging of the human left ventricular myocardium: Analysis of microRNAs contribution.
Ramos-Marquès, Estel; García-Mendívil, Laura; Pérez-Zabalza, María; Santander-Badules, Hazel; Srinivasan, Sabarathinam; Oliveros, Juan Carlos; Torres-Pérez, Rafael; Cebollada, Alberto; Vallejo-Gil, José María; Fresneda-Roldán, Pedro Carlos; Fañanás-Mastral, Javier; Vázquez-Sancho, Manuel; Matamala-Adell, Marta; Sorribas-Berjón, Juan Fernando; Bellido-Morales, Javier André; Mancebón-Sierra, Francisco Javier; Vaca-Núñez, Alexánder Sebastián; Ballester-Cuenca, Carlos; Jiménez-Navarro, Manuel; Villaescusa, José Manuel; Garrido-Huéscar, Elisa; Segovia-Roldán, Margarita; Oliván-Viguera, Aida; Gómez-González, Carlos; Muñiz, Gorka; Diez, Emiliano; Ordovás, Laura; Pueyo, Esther.
Afiliación
  • Ramos-Marquès E; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • García-Mendívil L; BSICoS, IIS Aragón, Zaragoza, Spain.
  • Pérez-Zabalza M; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Santander-Badules H; BSICoS, IIS Aragón, Zaragoza, Spain.
  • Srinivasan S; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Oliveros JC; BSICoS, IIS Aragón, Zaragoza, Spain.
  • Torres-Pérez R; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Cebollada A; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Vallejo-Gil JM; BSICoS, IIS Aragón, Zaragoza, Spain.
  • Fresneda-Roldán PC; Bioinformatics for Genomics and Proteomics, National Center of Biotechnology- Spanish National Research Council, Madrid, Spain.
  • Fañanás-Mastral J; Bioinformatics for Genomics and Proteomics, National Center of Biotechnology- Spanish National Research Council, Madrid, Spain.
  • Vázquez-Sancho M; Biocomputation unit, IACS, Zaragoza, Spain.
  • Matamala-Adell M; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Sorribas-Berjón JF; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Bellido-Morales JA; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Mancebón-Sierra FJ; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Vaca-Núñez AS; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Ballester-Cuenca C; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Jiménez-Navarro M; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Villaescusa JM; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Garrido-Huéscar E; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Segovia-Roldán M; Department of Cardiovascular Surgery, University Hospital Miguel Servet, Zaragoza, Spain.
  • Oliván-Viguera A; Heart Area, Hospital Clínico Universitario Virgen de la Victoria, CIBERCV, IBIMA, Universidad de Málaga, UMA, Málaga, Spain.
  • Gómez-González C; UGC Heart Area, Cardiovascular Surgery Department, Hospital Universitario Virgen de la Victoria de Málaga, Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud (FIMABIS), CIBERCV Enfermedades Cardiovasculares, Instituto de Salud Carlos III, University of Málaga, Madrid,
  • Muñiz G; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Diez E; BSICoS, IIS Aragón, Zaragoza, Spain.
  • Ordovás L; Biomedical Signal Interpretation and Computational Simulation group (BSICoS), Aragón Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Pueyo E; BSICoS, IIS Aragón, Zaragoza, Spain.
Aging Cell ; 20(7): e13383, 2021 07.
Article en En | MEDLINE | ID: mdl-34092006
Aging is the main risk factor for cardiovascular diseases. In humans, cardiac aging remains poorly characterized. Most studies are based on chronological age (CA) and disregard biological age (BA), the actual physiological age (result of the aging rate on the organ structure and function), thus yielding potentially imperfect outcomes. Deciphering the molecular basis of ventricular aging, especially by BA, could lead to major progresses in cardiac research. We aim to describe the transcriptome dynamics of the aging left ventricle (LV) in humans according to both CA and BA and characterize the contribution of microRNAs, key transcriptional regulators. BA is measured using two CA-associated transcriptional markers: CDKN2A expression, a cell senescence marker, and apparent age (AppAge), a highly complex transcriptional index. Bioinformatics analysis of 132 LV samples shows that CDKN2A expression and AppAge represent transcriptomic changes better than CA. Both BA markers are biologically validated in relation to an aging phenotype associated with heart dysfunction, the amount of cardiac fibrosis. BA-based analyses uncover depleted cardiac-specific processes, among other relevant functions, that are undetected by CA. Twenty BA-related microRNAs are identified, and two of them highly heart-enriched that are present in plasma. We describe a microRNA-gene regulatory network related to cardiac processes that are partially validated in vitro and in LV samples from living donors. We prove the higher sensitivity of BA over CA to explain transcriptomic changes in the aging myocardium and report novel molecular insights into human LV biological aging. Our results can find application in future therapeutic and biomarker research.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Envejecimiento / Biomarcadores / MicroARNs / Ventrículos Cardíacos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Aging Cell Año: 2021 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Envejecimiento / Biomarcadores / MicroARNs / Ventrículos Cardíacos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Aging Cell Año: 2021 Tipo del documento: Article País de afiliación: España