Decoding Neural Metabolic Markers From the Carotid Sinus Nerve in a Type 2 Diabetes Model.
Animals
Biomarkers
/ analysis
Blood Glucose
/ analysis
Carotid Sinus
/ metabolism
Denervation
Diabetes Mellitus, Experimental
Diabetes Mellitus, Type 2
/ metabolism
Diet
Electrophysiological Phenomena
Glucose Intolerance
/ metabolism
Hypoglycemic Agents
/ pharmacology
Insulin
/ pharmacology
Insulin Resistance
Male
Rats
Rats, Wistar
Sympathetic Nervous System
/ physiopathology
Journal
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
ISSN: 1558-0210
Titre abrégé: IEEE Trans Neural Syst Rehabil Eng
Pays: United States
ID NLM: 101097023
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
pubmed:
24
9
2019
medline:
7
10
2020
entrez:
24
9
2019
Statut:
ppublish
Résumé
Recent studies showed that the carotid sinus nerve (CSN) and the sympathetic nervous system (SNS) are overactivated in type 2 diabetes and that restoring the correct CSN neural activity can re-establish the proper metabolism. However, a robust characterization of the relationship between CSN and SNS neural activities and metabolism in type 2 diabetes is still missing. Here, we investigated the relationship between neural activity of CSN and SNS in control rats and in rats with diet-induced type 2 diabetes and the animal condition during metabolic challenges. We found that the diabetic condition can be discriminated on the basis of CSN and SNS neural activities due to a high-frequency shift in both spectra. This shift is suppressed in the SNS in case of CSN denervation, confirming the role of CSN in driving sympathetic overactivation in type 2 diabetes. Interestingly, the Inter-Burst-Intervals (IBIs) calculated from CSN bursts strongly correlate with perturbations in glycaemia levels. This finding, held for both control and diabetic rats, indicates the possibility of detecting metabolic information from neural recordings even in pathological conditions. Our results suggest that CSN activity could serve as a marker to monitor glycaemic alterations and, therefore, it could be used for closed-loop control of CSN neuromodulation. This paves the way to the development of novel and effective bioelectronic therapies for type 2 diabetes.
Identifiants
pubmed: 31545736
doi: 10.1109/TNSRE.2019.2942398
doi:
Substances chimiques
Biomarkers
0
Blood Glucose
0
Hypoglycemic Agents
0
Insulin
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM