Design principles of ROS dynamic networks relevant to precision therapies for age-related diseases

Abstract:

The eminently complex regulatory network protecting the cell against oxidative stress, surfaces in several disease maps, including that of Parkinson’s disease (PD). How this molecular networking achieves its various functionalities and how processes operating at the seconds-minutes time scale cause a disease at a time scale of multiple decennia is enigmatic.

By computational analysis, we here disentangle the reactive oxygen species (ROS) regulatory network into a hierarchy of subnetworks that each correspond to a different functionality. The detailed dynamic model of ROS management obtained integrates these functionalities and fits in vitro data sets from two different laboratories.

The model shows effective ROS-management for a century, followed by a sudden system’s collapse due to the loss of p62 protein. PD related conditions such as lack of DJ-1 protein or increased α-synuclein accelerated the system’s collapse. Various in-silico interventions (e.g. addition of antioxidants or caffeine) slowed down the collapse of the system in silico, suggesting the model may help discover new medicinal and nutritional therapies.

SEEK ID: https://fairdomhub.org/publications/458

DOI: 10.1101/647776

Projects: Make Me My Model

Publication type: Not specified

Citation: Design principles of ROS dynamic networks relevant to precision therapies for age-related diseases 74 : 324

Date Published: No date defined

Registered Mode: Not specified

Authors: Alexey Kolodkin, Raju Prasad Sharma, Anna Maria Colangelo, Andrew Ignatenko, Francesca Martorana, Danyel Jennen, Jacco J. Briede, Nathan Brady, Matteo Barberis, Thierry D.G.A. Mondeel, Michele Papa, Vikas Kumar, Bernhard Peters, Alexander Skupin, Lilia Alberghina, Rudi Balling, Hans V. Westerhoff

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Citation
Kolodkin, A., Sharma, R. P., Colangelo, A. M., Ignatenko, A., Martorana, F., Jennen, D., Briede, J. J., Brady, N., Barberis, M., Mondeel, T. D. G. A., Papa, M., Kumar, V., Peters, B., Skupin, A., Alberghina, L., Balling, R., & Westerhoff, H. V. (2019). Design principles of ROS dynamic networks relevant to precision therapies for age-related diseases. In []. Cold Spring Harbor Laboratory. https://doi.org/10.1101/647776
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Created: 9th Mar 2020 at 10:42

Last updated: 9th Mar 2020 at 10:45

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