ArticlePharmaceutical research2006
Kinetic modeling of nitric-oxide-associated reaction network.
Article in Pharmaceutical research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Modifying the Tumour Microenvironment: Challenges and Future Perspectives for Anticancer Plasma Treatments.Cancers · 2019Review
- Chronic Intermittent Hypoxia-Induced Vascular Dysfunction in Rats is Reverted byFrontiers in physiology · 2018Article
- Endothelial NO and O₂·⁻ production rates differentially regulate oxidative, nitroxidative, and nitrosative stress in the microcirculation.Free radical biology & medicine · 2013Article
- A kinetic platform to determine the fate of nitric oxide in Escherichia coli.PLoS computational biology · 2013Article
- Modeling of biopterin-dependent pathways of eNOS for nitric oxide and superoxide production.Free radical biology & medicine · 2011Article
- Mathematical and computational models of oxidative and nitrosative stress.Critical reviews in biomedical engineering · 2011Review
- Computational insights on the competing effects of nitric oxide in regulating apoptosis.PloS one · 2008Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNitric oxide and superoxide are the two important free radicals in the biological system. The coexistence of both free radicals in the physiological milieu gives rise to intricate oxidative and nitrosative reactions, which have been implicated in many physiological and/or pathophysiological conditions, such as vasodilatation and inflammation. It is difficult, if not impossible, to study the complexity of the nitric oxide/superoxide system using current experimental approaches. Computational modeling thus offers an alternative way for studying the problem.
methodsIn this present study, key reaction pathways related to the generation, reaction and scavenging of both nitric oxide and superoxide were integrated into a reaction network. The network dynamics was investigated by numerical simulations to a set of coupled differential equations and by dynamical analysis. Two specific questions pertaining to the reaction kinetics of the reactive chemical species in the nitric oxide/superoxide system were studied: (1) how does the system respond dynamically when the generation rate of nitric oxide and superoxide varies? (2) how would antioxidants such as glutathione modulate the system dynamics?
resultsWhile changing basal GSH levels does not alter the kinetics of nitric oxide, superoxide, and peroxynitrite, the kinetic profiles of N203, GSNO and GSH are sensitive to the variation of basal GSH levels. The kinetics of the potential nitrosative species, N203, is switch like, which is dependent on the level of GSH.
conclusionsThe model predicts that concurrent high nitric oxide and superoxide generation--such as in the inflammatory conditions--may result in nonlinear system dynamics, and glutathione may serve as a dynamic switch of N203 mediated nitrosation reaction.
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