Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
03 12 2019
Historique:
received: 12 07 2019
accepted: 29 10 2019
entrez: 4 12 2019
pubmed: 4 12 2019
medline: 8 5 2020
Statut: epublish

Résumé

Traditionally, drug dosing is based on a concentration-response relationship estimated in a population. Yet, in specific individuals, decisions based on the population-level effects frequently result in over or under-dosing. Here, we interrogate the relationship between population-based and individual-based responses to anesthetics in mice and zebrafish. The anesthetic state was assessed by quantifying responses to simple stimuli. Individual responses dynamically fluctuated at a fixed drug concentration. These fluctuations exhibited resistance to state transitions. Drug sensitivity varied dramatically across individuals in both species. The amount of noise driving transitions between states, in contrast, was highly conserved in vertebrates separated by 400 million years of evolution. Individual differences in anesthetic sensitivity and stochastic fluctuations in responsiveness complicate the ability to appropriately dose anesthetics to each individual. Identifying the biological substrate of noise, however, may spur novel therapies, assure consistent drug responses, and encourage the shift from population-based to personalized medicine.

Identifiants

pubmed: 31793434
doi: 10.7554/eLife.50143
pii: 50143
pmc: PMC6890463
doi:
pii:

Substances chimiques

Anesthetics 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIH HHS
ID : R01 GM088156
Pays : United States
Organisme : NIH HHS
ID : R01 GM107117
Pays : United States
Organisme : NIH HHS
ID : R01 GM124023
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM088156
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM112596
Pays : United States
Organisme : NIH HHS
ID : K08 GM123317
Pays : United States
Organisme : NIH HHS
ID : T32 GM112596
Pays : United States
Organisme : NIGMS NIH HHS
ID : K08 GM123317
Pays : United States

Informations de copyright

© 2019, McKinstry-Wu et al.

Déclaration de conflit d'intérêts

AM, AW, BH, VB, MS, JB, MP, MK, AP No competing interests declared

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Auteurs

Andrew R McKinstry-Wu (AR)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.

Andrzej Z Wasilczuk (AZ)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.
Department of Bioengineering, University of Pennsylvania, Philadelphia, United States.

Benjamin A Harrison (BA)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.

Victoria M Bedell (VM)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.

Mathangi J Sridharan (MJ)

College of Medicine, The Ohio State University, Columbus, United States.

Jayce J Breig (JJ)

Department of Medicine, Drexel University College of Medicine, Philadelphia, United States.

Michael Pack (M)

Department of Medicine, University of Pennsylvania, Philadelphia, United States.

Max B Kelz (MB)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.
Department of Bioengineering, University of Pennsylvania, Philadelphia, United States.

Alexander Proekt (A)

Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, United States.

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