Literature DB >> 29177248

Detection of Norepinephrine in Whole Blood via Fast Scan Cyclic Voltammetry.

Evan N Nicolai1, James K Trevathan1, Erika K Ross1, J Luis Lujan1, Charles D Blaha1, Kevin E Bennet1, Kendall H Lee1, Kip A Ludwig1.   

Abstract

Bioelectronic Medicines is an emerging field that capitalizes on minimally-invasive technology to stimulate the autonomic nervous system in order to evoke therapeutic biomolecular changes at the end-organ. The goal of Bioelectronic Medicines is to realize both 'precision and personalized' medicine. 'Precise' stimulation of neural circuitry creates biomolecular changes targeted exactly where needed to maximize therapeutic effects while minimizing off-target changes associated with side-effects. The therapy is then 'personalized' by utilizing implanted sensors to measure the biomolecular concentrations at, or near, the end-organ of interest and continually adjusting therapy to account for patient-specific biological changes throughout the day. To realize the promise of Bioelectronic Medicines, there is a need for minimally invasive, real-time measurement of biomarkers associated with the effects of autonomic nerve stimulation to be used for continuous titration of therapy. In this study we examine the feasibility of using fast scan cyclic voltammetry (FSCV) to measure norepinephrine levels, a neurochemical relevant to end-organ function, directly from blood. FSCV is a well-understood method for measuring electroactive neurochemicals in the central nervous system with high temporal and high spatial resolution that has yet to be adapted to the study of the autonomic nervous system. The results demonstrate that while detecting the electroactive neurochemical norepinephrine in blood is more challenging than obtaining the same FSCV measurements in a buffer solution due to biofouling of the electrode, it is feasible to utilize a minimally invasive FSCV electrode to obtain neurochemical measurements in blood.

Entities:  

Keywords:  autonomic nervous system; bioelectronics medicines; blood; fast scan cyclic voltammetry (FSCV); minimally invasive; norepinephrine

Year:  2017        PMID: 29177248      PMCID: PMC5698011          DOI: 10.1109/MeMeA.2017.7985859

Source DB:  PubMed          Journal:  IEEE Int Symp Med Meas Appl


  14 in total

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2.  Resolving neurotransmitters detected by fast-scan cyclic voltammetry.

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Review 4.  Bioelectronic medicines: a research roadmap.

Authors:  Karen Birmingham; Viviana Gradinaru; Polina Anikeeva; Warren M Grill; Victor Pikov; Bryan McLaughlin; Pankaj Pasricha; Douglas Weber; Kip Ludwig; Kristoffer Famm
Journal:  Nat Rev Drug Discov       Date:  2014-06       Impact factor: 84.694

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Journal:  Science       Date:  2011-09-15       Impact factor: 47.728

6.  Plasma epinephrine and norepinephrine concentrations of healthy humans associated with nighttime sleep and morning arousal.

Authors:  C Dodt; U Breckling; I Derad; H L Fehm; J Born
Journal:  Hypertension       Date:  1997-07       Impact factor: 10.190

7.  Assessing principal component regression prediction of neurochemicals detected with fast-scan cyclic voltammetry.

Authors:  Richard B Keithley; R Mark Wightman
Journal:  ACS Chem Neurosci       Date:  2011-06-07       Impact factor: 4.418

8.  Higher sensitivity dopamine measurements with faster-scan cyclic voltammetry.

Authors:  Richard B Keithley; Pavel Takmakov; Elizabeth S Bucher; Anna M Belle; Catarina A Owesson-White; Jinwoo Park; R Mark Wightman
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9.  Subsecond dopamine fluctuations in human striatum encode superposed error signals about actual and counterfactual reward.

Authors:  Kenneth T Kishida; Ignacio Saez; Terry Lohrenz; Mark R Witcher; Adrian W Laxton; Stephen B Tatter; Jason P White; Thomas L Ellis; Paul E M Phillips; P Read Montague
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-23       Impact factor: 11.205

10.  Chronic microsensors for longitudinal, subsecond dopamine detection in behaving animals.

Authors:  Jeremy J Clark; Stefan G Sandberg; Matthew J Wanat; Jerylin O Gan; Eric A Horne; Andrew S Hart; Christina A Akers; Jones G Parker; Ingo Willuhn; Vicente Martinez; Scott B Evans; Nephi Stella; Paul E M Phillips
Journal:  Nat Methods       Date:  2009-12-27       Impact factor: 28.547

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  5 in total

Review 1.  Applying a Fast-Scan Cyclic Voltammetry to Explore Dopamine Dynamics in Animal Models of Neuropsychiatric Disorders.

Authors:  Vladimir P Grinevich; Amir N Zakirov; Uliana V Berseneva; Elena V Gerasimova; Raul R Gainetdinov; Evgeny A Budygin
Journal:  Cells       Date:  2022-05-03       Impact factor: 7.666

2.  High resolution voltammetric and field-effect transistor readout of carbon fiber microelectrode biosensors.

Authors:  Whirang Cho; Harmain Rafi; Seulki Cho; Arvind Balijepalli; Alexander G Zestos
Journal:  Sens Diagn       Date:  2022-04-05

3.  Closed-loop neuromodulation will increase the utility of mouse models in Bioelectronic Medicine.

Authors:  Timir Datta-Chaudhuri
Journal:  Bioelectron Med       Date:  2021-06-30

4.  Design Choices for Next-Generation Neurotechnology Can Impact Motion Artifact in Electrophysiological and Fast-Scan Cyclic Voltammetry Measurements.

Authors:  Evan N Nicolai; Nicholas J Michelson; Megan L Settell; Seth A Hara; James K Trevathan; Anders J Asp; Kaylene C Stocking; J Luis Lujan; Takashi D Y Kozai; Kip A Ludwig
Journal:  Micromachines (Basel)       Date:  2018-09-27       Impact factor: 2.891

5.  Multiplexing neurochemical detection with carbon fiber multielectrode arrays using fast-scan cyclic voltammetry.

Authors:  Harmain Rafi; Alexander G Zestos
Journal:  Anal Bioanal Chem       Date:  2021-07-14       Impact factor: 4.142

  5 in total

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