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.

/pdf/mathematical-modeling-of-antihypertensive-therapy-3dtydun5.pdf

Mathematical modeling of antihypertensive therapy

Hypertension plays a major role in the development and progression of micro- and macrovascular disease. Moreover, increased blood pressure often coexists with additional cardiovascular risk factors such as insulin resistance. As a result the need for a comprehensive management of hypertensive patients is critical. However, the various antihypertensive drug categories have different effects on glucose metabolism. Indeed, angiotensin receptor blockers as well as angiotensin converting enzyme inhibitors have been associated with beneficial effects on glucose homeostasis. Calcium channel blockers (CCBs) have an overall neutral effect on glucose metabolism. However, some members of the CCBs class such as azelnidipine and manidipine have been shown to have advantageous effects on glucose homeostasis. On the other hand, diuretics and β-blockers have an overall disadvantageous effect on glucose metabolism. Of note, carvedilol as well as nebivolol seem to differentiate themselves from the rest of the β-blockers class, being more attractive options regarding their effect on glucose homeostasis. The adverse effects of some blood pressure lowering drugs on glucose metabolism may, to an extent, compromise their cardiovascular protective role. As a result the effects on glucose homeostasis of the various blood pressure lowering drugs should be taken into account when selecting an antihypertensive treatment, especially in patients which are at high risk for developing diabetes.

Antihypertensive drugs and glucose metabolism

Background: We attempted to test the hypothesis that the direct renin inhibitor aliskiren can improve diastolic dysfunction, glucose, and insulin metabolism (GIM) in overweight and obese hypertensive patients. Methods and results: Seventy-eight hypertensive patients were divided into two groups: 38 treated with aliskiren for six months, and 40 treated without aliskiren but with only traditional anti-hypertensive therapy, as controls. Doppler mitral flow velocity patterns were assessed before and after aliskiren during a six-month period. GIM (three-hour intravenous glucose tolerance test) was measured after four to six weeks of washout and six months of treatment. The mitral E/A ratio increased from 0.65 ± 0.11 to 0.75 ± 0.19. None of the indexes changed in the control group. In the control group, GIM parameters, fasting glucose levels (5.3 ± 0.9 to 6.0 ± 1.5 mmol/l; p = 0.003), fasting insulin levels (121 ± 121 to 189 ± 228 pmol/l; p = 0.03), and most other relevant metabolic measures (p < 0.05 for all) significantly worsened. Aliskiren did not affect GIM. In the control group LVM/height was not affected (119 ± 12 to 120 ± 17 g/m; p = 0.8), whereas aliskiren significantly reduced LVM/height (120 ± 13 to 111 ± 19 g/m; p = 0.04). Conclusions: Optimal target BP was achieved in the group as a whole and in both obese patient groups, while benefits to cardiac structure were of a smaller magnitude. In high-risk, overweight/obese patients with hypertension, traditional therapy provides significantly greater BP- versus aliskiren-lowering throughout the 24-hour dosing interval. Therefore in obese, hypertensive individuals, adequate and similar blood pressure control was achieved with aliskiren; however, the aliskiren group and not the control group was associated with a more favorable GIM profile and led to a significant regression of LVM; overall aliskiren-based treatment offers sustained control of PRA.

https://journals.sagepub.com/doi/pdf/10.1177/1470320312474053

Effects of antihypertensive therapy on glucose, insulin metabolism, left ventricular diastolic dysfunction and renin system in overweight and obese hypertensives

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Effects of antihypertensive therapy on glucose, insulin metabolism, left ventricular diastolic dysfunction and renin system in overweight and obese hypertensives