In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension

Clinical trials evaluating the efficacy of chronic electrical stimulation of the carotid baroreflex for the treatment of hypertension (HTN) are ongoing. However, the mechanisms by which this device lowers blood pressure (BP) are unclear, and it is uncertain which patients are most likely to receive...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: John S. Clemmer, W. Andrew Pruett, Robert L. Hester
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/857433f776b44e92a9d7df63a816521f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:857433f776b44e92a9d7df63a816521f
record_format dspace
spelling oai:doaj.org-article:857433f776b44e92a9d7df63a816521f2021-11-25T06:19:42ZIn silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension1932-6203https://doaj.org/article/857433f776b44e92a9d7df63a816521f2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601446/?tool=EBIhttps://doaj.org/toc/1932-6203Clinical trials evaluating the efficacy of chronic electrical stimulation of the carotid baroreflex for the treatment of hypertension (HTN) are ongoing. However, the mechanisms by which this device lowers blood pressure (BP) are unclear, and it is uncertain which patients are most likely to receive clinical benefit. Mathematical modeling provides the ability to analyze complicated interrelated effects across multiple physiological systems. Our current model HumMod is a large physiological simulator that has been used previously to investigate mechanisms responsible for BP lowering during baroreflex activation therapy (BAT). First, we used HumMod to create a virtual population in which model parameters (n = 335) were randomly varied, resulting in unique models (n = 6092) that we define as a virtual population. This population was calibrated using data from hypertensive obese dogs (n = 6) subjected to BAT. The resultant calibrated virtual population (n = 60) was based on tuning model parameters to match the experimental population in 3 key variables: BP, glomerular filtration rate, and plasma renin activity, both before and after BAT. In the calibrated population, responses of these 3 key variables to chronic BAT were statistically similar to experimental findings. Moreover, blocking suppression of renal sympathetic nerve activity (RSNA) and/or increased secretion of atrial natriuretic peptide (ANP) during BAT markedly blunted the antihypertensive response in the virtual population. These data suggest that in obesity-mediated HTN, RSNA and ANP responses are key factors that contribute to BP lowering during BAT. This modeling approach may be of value in predicting BAT responses in future clinical studies.John S. ClemmerW. Andrew PruettRobert L. HesterPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
John S. Clemmer
W. Andrew Pruett
Robert L. Hester
In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
description Clinical trials evaluating the efficacy of chronic electrical stimulation of the carotid baroreflex for the treatment of hypertension (HTN) are ongoing. However, the mechanisms by which this device lowers blood pressure (BP) are unclear, and it is uncertain which patients are most likely to receive clinical benefit. Mathematical modeling provides the ability to analyze complicated interrelated effects across multiple physiological systems. Our current model HumMod is a large physiological simulator that has been used previously to investigate mechanisms responsible for BP lowering during baroreflex activation therapy (BAT). First, we used HumMod to create a virtual population in which model parameters (n = 335) were randomly varied, resulting in unique models (n = 6092) that we define as a virtual population. This population was calibrated using data from hypertensive obese dogs (n = 6) subjected to BAT. The resultant calibrated virtual population (n = 60) was based on tuning model parameters to match the experimental population in 3 key variables: BP, glomerular filtration rate, and plasma renin activity, both before and after BAT. In the calibrated population, responses of these 3 key variables to chronic BAT were statistically similar to experimental findings. Moreover, blocking suppression of renal sympathetic nerve activity (RSNA) and/or increased secretion of atrial natriuretic peptide (ANP) during BAT markedly blunted the antihypertensive response in the virtual population. These data suggest that in obesity-mediated HTN, RSNA and ANP responses are key factors that contribute to BP lowering during BAT. This modeling approach may be of value in predicting BAT responses in future clinical studies.
format article
author John S. Clemmer
W. Andrew Pruett
Robert L. Hester
author_facet John S. Clemmer
W. Andrew Pruett
Robert L. Hester
author_sort John S. Clemmer
title In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
title_short In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
title_full In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
title_fullStr In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
title_full_unstemmed In silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
title_sort in silico trial of baroreflex activation therapy for the treatment of obesity-induced hypertension
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/857433f776b44e92a9d7df63a816521f
work_keys_str_mv AT johnsclemmer insilicotrialofbaroreflexactivationtherapyforthetreatmentofobesityinducedhypertension
AT wandrewpruett insilicotrialofbaroreflexactivationtherapyforthetreatmentofobesityinducedhypertension
AT robertlhester insilicotrialofbaroreflexactivationtherapyforthetreatmentofobesityinducedhypertension
_version_ 1718413874341871616