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Journal article : Review

Multimodal, device-based therapeutic targeting of the cardiovascular autonomic nervous system

Abstract:
The miniaturization of implantable sensors and actuators, combined with advances in interactive modelling and high-resolution imaging, is propelling the use of medical devices for counteracting impaired neural control of the cardiovascular system. In this Review, we discuss the current effectiveness of this technology for modulating autonomic activity in numerous cardiovascular conditions, including high blood pressure, heart failure and cardiac arrhythmias. We advocate for smarter closed-loop bionic devices fitted with feedback from multiple sensors to allow adaptive, state-dependent control, and discuss how the adoption of artificial intelligence technology would facilitate auto-personalization to meet the needs of patients. We also describe how transcriptomics of autonomic circuits can guide device-based approaches. Finally, the use of stem cell therapies to target sympathetic circuits more precisely will help to optimize the therapeutic effects of autonomic modulation for the treatment of arrhythmia. For bioelectronic medicine to achieve clinical utility in neurocardiology, these innovations must demonstrate improved efficacy beyond that offered by contemporary interventions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41569-025-01212-4

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy and Genetics
Oxford college:
Exeter College
Role:
Author
ORCID:
0000-0001-8453-6133
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy and Genetics
Oxford college:
Merton College
Role:
Author
ORCID:
0000-0002-7399-3256


More from this funder
Funder identifier:
https://ror.org/02wdwnk04
Grant:
FS/SCRF/20/32005
SP/F/22/150027
More from this funder
Funder identifier:
https://ror.org/04tajb587


Publisher:
Springer Nature
Journal:
Nature Reviews Cardiology More from this journal
Pages:
1-24
Place of publication:
England
Publication date:
2025-10-01
Acceptance date:
2025-08-18
DOI:
EISSN:
1759-5010
ISSN:
1759-5002
Pmid:
41034673


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2301782
Local pid:
pubs:2301782
Deposit date:
2026-02-24
ARK identifier:

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