Articles producció científicaEnginyeria Química

ROS networks: designs

  • Dades identificatives

    Identificador:  imarina:9138826
    Autors:  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
    Resum:
    © 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.
  • Altres:

    Enllaç font original: https://www.nature.com/articles/s41540-020-00150-w
    Referència 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
    Referència a l'article segons font original: Npj Syst Biol Appl. 6 (1): 34-
    DOI de l'article: 10.1038/s41540-020-00150-w
    Any de publicació de la revista: 2020
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2025-03-03
    Autor/s de la URV: Kumar, Vikas
    Departament: Enginyeria Química
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: 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
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Volum de revista: 6
    Àrees temàtiques: 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
    Adreça de correu electrònic de l'autor: vikas.kumar@urv.cat
  • Paraules clau:

    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)
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