ArticleBioelectronic medicine2019
Identification of hypoglycemia-specific neural signals by decoding murine vagus nerve activity.
Article in Bioelectronic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 36 citations in OpenAlex.
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- The Vagus Nerve Regulates Immunometabolic Homeostasis in the Ovine Fetus near Term: The Impact on Terminal Ileum.Biology · 2024Article
- Selective recording of physiologically evoked neural activity in a mixed autonomic nerve using a minimally invasive array.APL bioengineering · 2023Article
- Heart Rate Variability Code: Does It Exist and Can We Hack It?Bioengineering (Basel, Switzerland) · 2023Review
- 3D Bioelectronics with a Remodellable Matrix for Long-Term Tissue Integration and Recording.Advanced materials (Deerfield Beach, Fla.) · 2023Article
- Control of inflammation using non-invasive neuromodulation: past, present and promise.International immunology · 2022Review
- Closed-Loop Vagus Nerve Stimulation for the Treatment of Cardiovascular Diseases: State of the Art and Future Directions.Frontiers in cardiovascular medicine · 2022Review
- A method to quantify autonomic nervous system function in healthy, able-bodied individuals.Bioelectronic medicine · 2021Article
- Imaging the Efficiency of Poly(3,4-ethylenedioxythiophene) Doped with Acid-Functionalized Carbon Nanotube and Iridium Oxide Electrode Coatings for Microstimulation.Advanced nanobiomed research · 2021Article
- Closed-loop neuromodulation will increase the utility of mouse models in Bioelectronic Medicine.Bioelectronic medicine · 2021Article
- Next-Generation Bioelectric Medicine: Harnessing the Therapeutic Potential of Neural Implants.Bioelectricity · 2020Article
- Multi-channel intraneural vagus nerve recordings with a novel high-density carbon fiber microelectrode array.Scientific reports · 2020Article
- Designing a bioelectronic treatment for Type 1 diabetes: targeted parasympathetic modulation of insulin secretion.Bioelectronics in medicine · 2020Review
- Closed-loop bioelectronic medicine for diabetes management.Bioelectronic medicine · 2020Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlucose 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.
methodsHere 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.
resultsOur 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.
conclusionThese 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 registrationNot applicable.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.