Isoflurane anesthesia suppresses gastric myoelectric power in the ferret.

electrogastrography ferret gastric myoelectrical activity

Journal

Neurogastroenterology and motility
ISSN: 1365-2982
Titre abrégé: Neurogastroenterol Motil
Pays: England
ID NLM: 9432572

Informations de publication

Date de publication:
05 Feb 2024
Historique:
revised: 14 12 2023
received: 03 03 2023
accepted: 16 01 2024
medline: 6 2 2024
pubmed: 6 2 2024
entrez: 5 2 2024
Statut: aheadofprint

Résumé

Gastric myoelectric signals have been the focus of extensive research; although it is unclear how general anesthesia affects these signals, and studies have often been conducted under general anesthesia. Here, we explore this issue directly by recording gastric myoelectric signals during awake and anesthetized states in the ferret and explore the contribution of behavioral movement to observed changes in signal power. Ferrets were surgically implanted with electrodes to record gastric myoelectric activity from the serosal surface of the stomach, and, following recovery, were tested in awake and isoflurane-anesthetized conditions. Video recordings were also analyzed during awake experiments to compare myoelectric activity during behavioral movement and rest. A significant decrease in gastric myoelectric signal power was detected under isoflurane anesthesia compared to the awake condition. Moreover, a detailed analysis of the awake recordings indicates that behavioral movement is associated with increased signal power compared to rest. These results suggest that both general anesthesia and behavioral movement can affect the signal power of gastric myoelectric recordings. In summary, caution should be taken in studying myoelectric data collected under anesthesia. Further, behavioral movement could have an important modulatory role on these signals, affecting their interpretation in clinical settings.

Sections du résumé

BACKGROUND BACKGROUND
Gastric myoelectric signals have been the focus of extensive research; although it is unclear how general anesthesia affects these signals, and studies have often been conducted under general anesthesia. Here, we explore this issue directly by recording gastric myoelectric signals during awake and anesthetized states in the ferret and explore the contribution of behavioral movement to observed changes in signal power.
METHODS METHODS
Ferrets were surgically implanted with electrodes to record gastric myoelectric activity from the serosal surface of the stomach, and, following recovery, were tested in awake and isoflurane-anesthetized conditions. Video recordings were also analyzed during awake experiments to compare myoelectric activity during behavioral movement and rest.
KEY RESULTS RESULTS
A significant decrease in gastric myoelectric signal power was detected under isoflurane anesthesia compared to the awake condition. Moreover, a detailed analysis of the awake recordings indicates that behavioral movement is associated with increased signal power compared to rest.
CONCLUSIONS & INFERENCES CONCLUSIONS
These results suggest that both general anesthesia and behavioral movement can affect the signal power of gastric myoelectric recordings. In summary, caution should be taken in studying myoelectric data collected under anesthesia. Further, behavioral movement could have an important modulatory role on these signals, affecting their interpretation in clinical settings.

Identifiants

pubmed: 38316631
doi: 10.1111/nmo.14749
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14749

Subventions

Organisme : NIH HHS
Pays : United States
Organisme : NIH HHS
ID : U18TR002205
Pays : United States
Organisme : NIH HHS
ID : R01DK121703
Pays : United States

Informations de copyright

© 2024 The Authors. Neurogastroenterology & Motility published by John Wiley & Sons Ltd.

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Auteurs

Lorenzo Tomaselli (L)

Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Michael Sciullo (M)

UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Stephanie Fulton (S)

UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Bill J Yates (BJ)

Center for Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Lee E Fisher (LE)

Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Physical Medicine & Rehabilitation, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Valérie Ventura (V)

Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Charles C Horn (CC)

UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Center for Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Department of Medicine, Division of Hematology/Oncology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Classifications MeSH