Articles producció científica> Enginyeria Química

ROS networks: designs, aging, Parkinson’s disease and precision therapies

  • Identification data

    Identifier: imarina:9138826
    Authors:
    N Kolodkin ASharma RPColangelo AMIgnatenko AMartorana FJennen DBriedé JJBrady NBarberis MMondeel TDGAPapa MKumar VPeters BSkupin AAlberghina LBalling RWesterhoff HV
    Abstract:
    © 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.
  • Others:

    Author, as appears in the article.: N Kolodkin A; Sharma RP; Colangelo AM; Ignatenko A; Martorana F; Jennen D; Briedé JJ; Brady N; Barberis M; Mondeel TDGA; Papa M; Kumar V; Peters B; Skupin A; Alberghina L; Balling R; Westerhoff HV
    Department: Enginyeria Química
    URV's Author/s: Kumar, Vikas
    Abstract: © 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: vikas.kumar@urv.cat
    Author identifier: 0000-0002-9795-5967
    Record's date: 2023-02-19
    Journal volume: 6
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/s41540-020-00150-w
    Papper original source: Npj Syst Biol Appl. 6 (1): 34-
    APA: N Kolodkin A; Sharma RP; Colangelo AM; Ignatenko A; Martorana F; Jennen D; Briedé JJ; Brady N; Barberis M; Mondeel TDGA; Papa M; Kumar V; Peters B; Sk (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
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1038/s41540-020-00150-w
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Applied Mathematics,Biochemistry, Genetics and Molecular Biology (Miscellaneous),Computer Science Applications,Drug Discovery,Mathematical & Computational Biology,Modeling and Simulation
    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
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