Literature DB >> 25062330

Improved Calibration of Voltammetric Sensors for Studying Pharmacological Effects on Dopamine Transporter Kinetics in Vivo.

Christopher W Atcherley1, Nicholas D Laude1, Eric B Monroe1, Kevin M Wood2, Parastoo Hashemi2, Michael L Heien1.   

Abstract

The distribution and density of neurons within the brain poses many challenges when making quantitative measurements of neurotransmission in the extracellular space. A volume neurotransmitter is released into the synapse during chemical communication and must diffuse through the extracellular space to an implanted sensor for real-time in situ detection. Fast-scan cyclic voltammetry is an excellent technique for measuring biologically relevant concentration changes in vivo; however, the sensitivity is limited by mass-transport-limited adsorption. Due to the resistance to mass transfer in the brain, the response time of voltammetric sensors is increased, which decreases the sensitivity and the temporal fidelity of the measurement. Here, experimental results reveal how the tortuosity of the extracellular space affects the response of the electrode. Additionally, a model of mass-transport-limited adsorption is utilized to account for both the strength of adsorption and the magnitude of the diffusion coefficient to calculate the response time of the electrode. The response time is then used to determine the concentration of dopamine released in response to salient stimuli. We present the method of kinetic calibration of in vivo voltammetric data and apply the method to discern changes in the KM for the murine dopamine transporter. The KM increased from 0.32 ± 0.08 μM (n = 3 animals) prior to drug administration to 2.72 ± 0.37 μM (n = 3 animals) after treatment with GBR-12909.

Entities:  

Keywords:  Dopamine; calibration; electrochemistry; hindered diffusion; in vivo; kinetics

Mesh:

Substances:

Year:  2014        PMID: 25062330     DOI: 10.1021/cn500020s

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  7 in total

1.  Frontiers in Electrochemical Sensors for Neurotransmitter Detection: Towards Measuring Neurotransmitters as Chemical Diagnostics for Brain Disorders.

Authors:  Yangguang Ou; Anna Marie Buchanan; Colby E Witt; Parastoo Hashemi
Journal:  Anal Methods       Date:  2019-05-16       Impact factor: 2.896

2.  Direct in Vivo Electrochemical Detection of Resting Dopamine Using Poly(3,4-ethylenedioxythiophene)/Carbon Nanotube Functionalized Microelectrodes.

Authors:  Ian Mitchell Taylor; Nikita Anurag Patel; Noah Chaim Freedman; Elisa Castagnola; Xinyan Tracy Cui
Journal:  Anal Chem       Date:  2019-09-26       Impact factor: 6.986

3.  Novel, User-Friendly Experimental and Analysis Strategies for Fast Voltammetry: Next Generation FSCAV with Artificial Neural Networks.

Authors:  Sergio Mena; Marco Visentin; Colby E Witt; Lauren E Honan; Nathan Robins; Parastoo Hashemi
Journal:  ACS Meas Sci Au       Date:  2022-04-06

4.  The coaction of tonic and phasic dopamine dynamics.

Authors:  Christopher W Atcherley; Kevin M Wood; Kate L Parent; Parastoo Hashemi; Michael L Heien
Journal:  Chem Commun (Camb)       Date:  2015-02-11       Impact factor: 6.222

5.  Measurement of Basal Neurotransmitter Levels Using Convolution-Based Nonfaradaic Current Removal.

Authors:  Justin A Johnson; Nathan T Rodeberg; R Mark Wightman
Journal:  Anal Chem       Date:  2018-06-07       Impact factor: 6.986

Review 6.  Using Graphene-Based Biosensors to Detect Dopamine for Efficient Parkinson's Disease Diagnostics.

Authors:  Małgorzata Kujawska; Sheetal K Bhardwaj; Yogendra Kumar Mishra; Ajeet Kaushik
Journal:  Biosensors (Basel)       Date:  2021-10-31

7.  Organic electrochemical transistor arrays for real-time mapping of evoked neurotransmitter release in vivo.

Authors:  Kai Xie; Naixiang Wang; Xudong Lin; Zixun Wang; Xi Zhao; Peilin Fang; Haibing Yue; Junhwi Kim; Jing Luo; Shaoyang Cui; Feng Yan; Peng Shi
Journal:  Elife       Date:  2020-02-11       Impact factor: 8.140

  7 in total

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