Importance of cardiac-synchronized vagus nerve stimulation parameters on the provoked chronotropic response for different levels of cardiac innervation.

autonomic cardiac control cardiac denervation isolated heart stimulation parameters vagus nerve stimulation

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2024
Historique:
received: 31 01 2024
accepted: 02 05 2024
medline: 5 6 2024
pubmed: 5 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

The influence of vagus nerve stimulation (VNS) parameters on provoked cardiac effects in different levels of cardiac innervation is not well understood yet. This study examines the effects of VNS on heart rate (HR) modulation across a spectrum of cardiac innervation states, providing data for the potential optimization of VNS in cardiac therapies. Utilizing previously published data from VNS experiments on six sheep with intact innervation, and data of additional experiments in five rabbits post bilateral rostral vagotomy, and four isolated rabbit hearts with additionally removed sympathetic influences, the study explored the impact of diverse VNS parameters on HR. Significant differences in physiological threshold charges were identified across groups: 0.09 ± 0.06 μC for intact, 0.20 ± 0.04 μC for vagotomized, and 9.00 ± 0.75 μC for isolated hearts. Charge was a key determinant of HR reduction across all innervation states, with diminishing correlations from intact ( Our study highlights for the first time that VNS parameters, including stimulation intensity, pulse width, and pulse number, crucially modulate heart rate across different cardiac innervation states. Intensity and pulse width significantly influence heart rate in innervated states, while pulse number is key in denervated states. Frequency and delay have less impact impact across all innervation states. These findings suggest the importance of customizing VNS therapy based on innervation status, offering insights for optimizing cardiac neuromodulation.

Identifiants

pubmed: 38835728
doi: 10.3389/fphys.2024.1379936
pii: 1379936
pmc: PMC11148559
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1379936

Informations de copyright

Copyright © 2024 Haberbusch, Kronsteiner, Aigner, Kiss, Podesser and Moscato.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Max Haberbusch (M)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.

Bettina Kronsteiner (B)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.
Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Vienna, Austria.

Philipp Aigner (P)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.
Department of Cardiac Surgery, Medical University of Vienna, Vienna, Austria.

Attila Kiss (A)

Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.
Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Vienna, Austria.

Bruno Karl Podesser (BK)

Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.
Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Vienna, Austria.

Francesco Moscato (F)

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Ludwig Boltzmann Institute for Cardiovascular Research, Vienna, Austria.
Austrian Cluster for Tissue Regeneration, Vienna, Austria.

Classifications MeSH