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Kutumova E, Kiselev I, Sharipov R, Lifshits G, Kolpakov F. Mathematical modeling of antihypertensive therapy. Front Physiol 2022; 13:1070115. [PMID: 36589434 PMCID: PMC9795234 DOI: 10.3389/fphys.2022.1070115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Hypertension is a multifactorial disease arising from complex pathophysiological pathways. Individual characteristics of patients result in different responses to various classes of antihypertensive medications. Therefore, evaluating the efficacy of therapy based on in silico predictions is an important task. This study is a continuation of research on the modular agent-based model of the cardiovascular and renal systems (presented in the previously published article). In the current work, we included in the model equations simulating the response to antihypertensive therapies with different mechanisms of action. For this, we used the pharmacodynamic effects of the angiotensin II receptor blocker losartan, the calcium channel blocker amlodipine, the angiotensin-converting enzyme inhibitor enalapril, the direct renin inhibitor aliskiren, the thiazide diuretic hydrochlorothiazide, and the β-blocker bisoprolol. We fitted therapy parameters based on known clinical trials for all considered medications, and then tested the model's ability to show reasonable dynamics (expected by clinical observations) after treatment with individual drugs and their dual combinations in a group of virtual patients with hypertension. The extended model paves the way for the next step in personalized medicine that is adapting the model parameters to a real patient and predicting his response to antihypertensive therapy. The model is implemented in the BioUML software and is available at https://gitlab.sirius-web.org/virtual-patient/antihypertensive-treatment-modeling.
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Affiliation(s)
- Elena Kutumova
- Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia,Laboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia,Biosoft.Ru, Ltd., Novosibirsk, Russia,*Correspondence: Elena Kutumova,
| | - Ilya Kiselev
- Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia,Laboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia,Biosoft.Ru, Ltd., Novosibirsk, Russia
| | - Ruslan Sharipov
- Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia,Laboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia,Biosoft.Ru, Ltd., Novosibirsk, Russia,Specialized Educational Scientific Center, Novosibirsk State University, Novosibirsk, Russia
| | - Galina Lifshits
- Laboratory for Personalized Medicine, Center of New Medical Technologies, Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia
| | - Fedor Kolpakov
- Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia,Laboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia,Biosoft.Ru, Ltd., Novosibirsk, Russia
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Parrinello G, Paterna S, Torres D, Di Pasquale P, Mezzero M, La Rocca G, Cardillo M, Trapanese C, Caradonna M, Licata G. One-Year Renal and Cardiac Effects of Bisoprolol versus Losartan in Recently Diagnosed Hypertensive Patients. Clin Drug Investig 2009; 29:591-600. [DOI: 10.2165/11315250-000000000-00000] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Paterna S, Parrinello G, Di Pasquale P, Torres D, La Rocca G, Antona R, Vernuccio L, Fornaciari E, Tarantino A, Piccione E, Fasullo S, Licata G. Medium-term effects of bisoprolol administration on renal hemodynamics and function in mild to moderate essential hypertension. Adv Ther 2007; 24:1260-70. [PMID: 18165208 DOI: 10.1007/bf02877772] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Arterial hypertension is a significant cause of end-stage renal failure; effective treatment of hypertensive patients reduces the rate of progression of this disorder. ss-Blockers, particularly nonselective agents, are associated with deterioration of renal function in patients with chronic renal failure. Previous studies on the interaction of the beta1-selective adrenergic antagonist bisoprolol with kidney function have been performed only acutely and over the short term. This study was designed to evaluate the antihypertensive efficacy and effects on renal hemodynamics and function of bisoprolol during medium-term (6 mo) treatment of patients with mild to moderate essential hypertension. After a 2-wk run-in period on placebo, 87 consecutive hypertensive patients (46 men, 41 women) according to ESH-ESC (European Society of Hypertension/European Society of Cardiology) guidelines, aged from 27 to 64 y (mean age, 50+/-11 y), without renal or cardiovascular disease, were enrolled and assigned to treatment with bisoprolol 5 mg once daily for 6 mo. At recruitment and at 6 mo after treatment, renal function was assessed and renal hemodynamics evaluated in all patients through radioisotope studies. The medium-term effects of bisoprolol included a significant reduction in blood pressure and heart rate (P<.001) without significant adverse drug reactions. Moreover, bisoprolol produced no alteration in renal function or hemodynamics, or in cardiac output. Data presented here indicate that bisoprolol 5 mg given once daily to treat patients with mild to moderate essential hypertension is effective and safe for treatment and for preservation of renal performance when given on a medium-term basis.
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Affiliation(s)
- Salvatore Paterna
- Department of Emergency Care, University of Palermo, and Department of Cardiology, GF Ingrassia Hospital, Italy
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