Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity

Abstract Background Glucose is a crucial energy source. In humans, it is the primary sugar for high energy demanding cells in brain, muscle and peripheral neurons. Deviations of blood glucose levels from normal levels for an extended period of time is dangerous or even fatal, so regulation of blood...

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Main Authors: Emily Battinelli Masi, Todd Levy, Tea Tsaava, Chad E. Bouton, Kevin J. Tracey, Sangeeta S. Chavan, Theodoros P. Zanos
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Bioelectronic Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s42234-019-0025-z
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spelling doaj-dac3cbb2882c42ecb1bff410219905af2020-11-25T02:41:22ZengBMCBioelectronic Medicine2332-88862019-07-015111010.1186/s42234-019-0025-zIdentification of hypoglycemia-specific neural signals by decoding murine vagus nerve activityEmily Battinelli Masi0Todd Levy1Tea Tsaava2Chad E. Bouton3Kevin J. Tracey4Sangeeta S. Chavan5Theodoros P. Zanos6Zucker School of Medicine at Hofstra/NorthwellInstitute of Bioelectronic Medicine, Feinstein Institute for Medical ResearchInstitute of Bioelectronic Medicine, Feinstein Institute for Medical ResearchInstitute of Bioelectronic Medicine, Feinstein Institute for Medical ResearchZucker School of Medicine at Hofstra/NorthwellZucker School of Medicine at Hofstra/NorthwellZucker School of Medicine at Hofstra/NorthwellAbstract Background Glucose is a crucial energy source. In humans, it is the primary sugar for high energy demanding cells in brain, muscle and peripheral neurons. Deviations of blood glucose levels from normal levels for an extended period of time is dangerous or even fatal, so regulation of blood glucose levels is a biological imperative. The vagus nerve, comprised of sensory and motor fibres, provides a major anatomical substrate for regulating metabolism. While prior studies have implicated the vagus nerve in the neurometabolic interface, its specific role in either the afferent or efferent arc of this reflex remains elusive. Methods Here we use recently developed methods to isolate and decode specific neural signals acquired from the surface of the vagus nerve in BALB/c wild type mice to identify those that respond robustly to hypoglycemia. We also attempted to decode neural signals related to hyperglycemia. In addition to wild type mice, we analyzed the responses to acute hypo- and hyperglycemia in transient receptor potential cation channel subfamily V member 1 (TRPV1) cell depleted mice. The decoding algorithm uses neural signals as input and reconstructs blood glucose levels. Results Our algorithm was able to reconstruct the blood glucose levels with high accuracy (median error 18.6 mg/dl). Hyperglycemia did not induce robust vagus nerve responses, and deletion of TRPV1 nociceptors attenuated the hypoglycemia-dependent vagus nerve signals. Conclusion These results provide insight to the sensory vagal signaling that encodes hypoglycemic states and suggest a method to measure blood glucose levels by decoding nerve signals. Trial registration Not applicable.http://link.springer.com/article/10.1186/s42234-019-0025-zHypoglycemiaDecodingVagus nerveInsulinGlucoseBioelectronic medicine
collection DOAJ
language English
format Article
sources DOAJ
author Emily Battinelli Masi
Todd Levy
Tea Tsaava
Chad E. Bouton
Kevin J. Tracey
Sangeeta S. Chavan
Theodoros P. Zanos
spellingShingle Emily Battinelli Masi
Todd Levy
Tea Tsaava
Chad E. Bouton
Kevin J. Tracey
Sangeeta S. Chavan
Theodoros P. Zanos
Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
Bioelectronic Medicine
Hypoglycemia
Decoding
Vagus nerve
Insulin
Glucose
Bioelectronic medicine
author_facet Emily Battinelli Masi
Todd Levy
Tea Tsaava
Chad E. Bouton
Kevin J. Tracey
Sangeeta S. Chavan
Theodoros P. Zanos
author_sort Emily Battinelli Masi
title Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
title_short Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
title_full Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
title_fullStr Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
title_full_unstemmed Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
title_sort identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity
publisher BMC
series Bioelectronic Medicine
issn 2332-8886
publishDate 2019-07-01
description Abstract Background Glucose is a crucial energy source. In humans, it is the primary sugar for high energy demanding cells in brain, muscle and peripheral neurons. Deviations of blood glucose levels from normal levels for an extended period of time is dangerous or even fatal, so regulation of blood glucose levels is a biological imperative. The vagus nerve, comprised of sensory and motor fibres, provides a major anatomical substrate for regulating metabolism. While prior studies have implicated the vagus nerve in the neurometabolic interface, its specific role in either the afferent or efferent arc of this reflex remains elusive. Methods Here we use recently developed methods to isolate and decode specific neural signals acquired from the surface of the vagus nerve in BALB/c wild type mice to identify those that respond robustly to hypoglycemia. We also attempted to decode neural signals related to hyperglycemia. In addition to wild type mice, we analyzed the responses to acute hypo- and hyperglycemia in transient receptor potential cation channel subfamily V member 1 (TRPV1) cell depleted mice. The decoding algorithm uses neural signals as input and reconstructs blood glucose levels. Results Our algorithm was able to reconstruct the blood glucose levels with high accuracy (median error 18.6 mg/dl). Hyperglycemia did not induce robust vagus nerve responses, and deletion of TRPV1 nociceptors attenuated the hypoglycemia-dependent vagus nerve signals. Conclusion These results provide insight to the sensory vagal signaling that encodes hypoglycemic states and suggest a method to measure blood glucose levels by decoding nerve signals. Trial registration Not applicable.
topic Hypoglycemia
Decoding
Vagus nerve
Insulin
Glucose
Bioelectronic medicine
url http://link.springer.com/article/10.1186/s42234-019-0025-z
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