Articles producció científicaEnginyeria Química

ROS networks: designs

  • Datos identificativos

    Identificador:  imarina:9138826
    Autores:  Kolodkin, Alexey N; Sharma, Raju Prasad; Colangelo, Anna Maria; Ignatenko, Andrew; Martorana, Francesca; Jennen, Danyel; Bried, Jacco J; Brady, Nathan; Barberis, Matteo; Mondeel, Thierry D G A; Papa, Michele; Kumar, Vikas; Peters, Bernhard; Skupin, Alexander; Alberghina, Lilia; Balling, Rudi; Westerhoff, Hans, V
    Resumen:
    © 2020, The Author(s). How the network around ROS protects against oxidative stress and Parkinson’s disease (PD), and how processes at the minutes timescale cause disease and aging after decades, remains enigmatic. Challenging whether the ROS network is as complex as it seems, we built a fairly comprehensive version thereof which we disentangled into a hierarchy of only five simpler subnetworks each delivering one type of robustness. The comprehensive dynamic model described in vitro data sets from two independent laboratories. Notwithstanding its five-fold robustness, it exhibited a relatively sudden breakdown, after some 80 years of virtually steady performance: it predicted aging. PD-related conditions such as lack of DJ-1 protein or increased α-synuclein accelerated the collapse, while antioxidants or caffeine retarded it. Introducing a new concept (aging-time-control coefficient), we found that as many as 25 out of 57 molecular processes controlled aging. We identified new targets for “life-extending interventions”: mitochondrial synthesis, KEAP1 degradation, and p62 metabolism.
  • Otros:

    Enlace a la fuente original: https://www.nature.com/articles/s41540-020-00150-w
    Referencia de l'ítem segons les normes APA: Kolodkin, Alexey N; Sharma, Raju Prasad; Colangelo, Anna Maria; Ignatenko, Andrew; Martorana, Francesca; Jennen, Danyel; Bried, Jacco J; Brady, Nathan (2020). ROS networks: designs, aging, Parkinson’s disease and precision therapies. Npj Syst Biol Appl, 6(1), 34-. DOI: 10.1038/s41540-020-00150-w
    Referencia al articulo segun fuente origial: Npj Syst Biol Appl. 6 (1): 34-
    DOI del artículo: 10.1038/s41540-020-00150-w
    Año de publicación de la revista: 2020
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2025-03-03
    Autor/es de la URV: Kumar, Vikas
    Departamento: Enginyeria Química
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Kolodkin, Alexey N; Sharma, Raju Prasad; Colangelo, Anna Maria; Ignatenko, Andrew; Martorana, Francesca; Jennen, Danyel; Bried, Jacco J; Brady, Nathan; Barberis, Matteo; Mondeel, Thierry D G A; Papa, Michele; Kumar, Vikas; Peters, Bernhard; Skupin, Alexander; Alberghina, Lilia; Balling, Rudi; Westerhoff, Hans, V
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Volumen de revista: 6
    Áreas temáticas: Modeling and simulation, Mathematical & computational biology, General biochemistry,genetics and molecular biology, Drug discovery, Computer science applications, Biochemistry, genetics and molecular biology (miscellaneous), Biochemistry, genetics and molecular biology (all), Applied mathematics
    Direcció de correo del autor: vikas.kumar@urv.cat
  • Palabras clave:

    Reactive oxygen species
    Precision medicine
    Parkinson disease
    Oxidative stress
    Molecular targeted therapy
    Models
    biological
    Humans
    Computational biology
    Aging
    Applied Mathematics
    Biochemistry
    Genetics and Molecular Biology (Miscellaneous)
    Computer Science Applications
    Drug Discovery
    Mathematical & Computational Biology
    Modeling and Simulation
    General biochemistry
    genetics and molecular biology
    genetics and molecular biology (all)
  • Documentos:

  • Cerca a google

    Search to google scholar