Cargando…

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

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 individu...

Descripción completa

Detalles Bibliográficos
Autores principales: McKinstry-Wu, Andrew R, Wasilczuk, Andrzej Z, Harrison, Benjamin A, Bedell, Victoria M, Sridharan, Mathangi J, Breig, Jayce J, Pack, Michael, Kelz, Max B, Proekt, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890463/
https://www.ncbi.nlm.nih.gov/pubmed/31793434
http://dx.doi.org/10.7554/eLife.50143
_version_ 1783475615082479616
author McKinstry-Wu, Andrew R
Wasilczuk, Andrzej Z
Harrison, Benjamin A
Bedell, Victoria M
Sridharan, Mathangi J
Breig, Jayce J
Pack, Michael
Kelz, Max B
Proekt, Alexander
author_facet McKinstry-Wu, Andrew R
Wasilczuk, Andrzej Z
Harrison, Benjamin A
Bedell, Victoria M
Sridharan, Mathangi J
Breig, Jayce J
Pack, Michael
Kelz, Max B
Proekt, Alexander
author_sort McKinstry-Wu, Andrew R
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6890463
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher eLife Sciences Publications, Ltd
record_format MEDLINE/PubMed
spelling pubmed-68904632019-12-06 Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia McKinstry-Wu, Andrew R Wasilczuk, Andrzej Z Harrison, Benjamin A Bedell, Victoria M Sridharan, Mathangi J Breig, Jayce J Pack, Michael Kelz, Max B Proekt, Alexander eLife Neuroscience 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. eLife Sciences Publications, Ltd 2019-12-03 /pmc/articles/PMC6890463/ /pubmed/31793434 http://dx.doi.org/10.7554/eLife.50143 Text en © 2019, McKinstry-Wu et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
McKinstry-Wu, Andrew R
Wasilczuk, Andrzej Z
Harrison, Benjamin A
Bedell, Victoria M
Sridharan, Mathangi J
Breig, Jayce J
Pack, Michael
Kelz, Max B
Proekt, Alexander
Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title_full Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title_fullStr Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title_full_unstemmed Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title_short Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
title_sort analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890463/
https://www.ncbi.nlm.nih.gov/pubmed/31793434
http://dx.doi.org/10.7554/eLife.50143
work_keys_str_mv AT mckinstrywuandrewr analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT wasilczukandrzejz analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT harrisonbenjamina analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT bedellvictoriam analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT sridharanmathangij analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT breigjaycej analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT packmichael analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT kelzmaxb analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia
AT proektalexander analysisofstochasticfluctuationsinresponsivenessisacriticalsteptowardpersonalizedanesthesia