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

Author:

McKinstry-Wu Andrew R1,Wasilczuk Andrzej Z12ORCID,Harrison Benjamin A1,Bedell Victoria M1,Sridharan Mathangi J3,Breig Jayce J4,Pack Michael5,Kelz Max B12,Proekt Alexander1ORCID

Affiliation:

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

2. Department of Bioengineering, University of Pennsylvania, Philadelphia, United States

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

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

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

Abstract

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.

Funder

National Institutes of Health

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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