00000caa a22000003i 4500 UP-1685594773862408502 Buklod 20210324113904.0 m | | ta 210324s2019 xx r |||| u|eng d (iLib)UPBAG-00039569121 STII-DOST BAG rda eng ARTICLE-2873 Villar, John Justine S. author. Structural stability analysis of models of dopamine synthesis and D1 receptor trafficking in RPT cells using CRNT by John Justine S. Villar, Patrick Vincent N. Lubenia, Eduardo R. Mendoza, and Carlene P.C. Pilar-Arceo. 2019. pages 523-533 illustrations 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 532-533) Dopamine plays an important role in different physiological and metabolic functions, including the control of sodium excretion in the kidney. Studies have shown that there is a positive correlation between a defect in dopamine synthesis and/or dopamine receptor function, and a defect in renal sodium excretion?which may lead to the development of essential hypertension. Specific receptors for dopamine, such as the D1 receptor, have been identified in the various regions within the kidney. It is observed that errors regarding dopamine receptor-G protein coupling and changes in the signaling components may be responsible for the failure of dopamine to increase sodium excretion in hypertensive subjects. In this paper, two symbolic kinetic models of dopamine synthesis and one of dopamine D1 receptor trafficking are presented. The three models are chemical reaction networks constructed and analyzed using Chemical Reaction Network Theory (CRNT), a framework that provides different insights on the static properties of a chemical reaction network regarding the existence of steady states, their multiplicity, and structural stability. It is found that all three networks do not support multiple steady states. (Author's abstract) Medicine. Chemical reaction network theory. Concentration robustness. D1 receptor trafficking. Renal dopaminergic system. Structural stability analysis. Symbolic kinetic modeling. Pilar-Arceo, Carlene P.C. author. Mendoza, Eduardo R. author. Lubenia, Patrick Vincent N. author. The Philippine Journal of Science Vol. 148, no. 3, September 2019. Request full-text access via UPB University Library through https://forms.gle/KZjBv7aRtY6jiL5E9 (viewed 24 March 2021) FI UPBAG UPBAG-MAIN ARTICLE-2873 Analytics