Fast Scan Cyclic Voltammetry of Dopamine and Serotonin in Mouse Brain Slices

Author(s):  
Sara Jones ◽  
Carrie John
The Analyst ◽  
2016 ◽  
Vol 141 (23) ◽  
pp. 6416-6421 ◽  
Author(s):  
R. Asri ◽  
B. O'Neill ◽  
J. C. Patel ◽  
K. A. Siletti ◽  
M. E. Rice

The study of transmitter interactions in the brain requires methodology to detect stimulus-driven neurotransmitter release. This report introduces an enzyme-coated 7 μm carbon-fiber microelectrode used with fast-scan cyclic voltammetry to detect evoked acetylcholine release in mouse brain slices.


BIO-PROTOCOL ◽  
2018 ◽  
Vol 8 (19) ◽  
Author(s):  
Madelyn Mauterer ◽  
Paige Estave ◽  
Katherine Holleran ◽  
Sara Jones

Antioxidants ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1285
Author(s):  
David M. Hedges ◽  
Jordan T. Yorgason ◽  
Andrew W. Perez ◽  
Nathan D. Schilaty ◽  
Benjamin M. Williams ◽  
...  

Parkinson’s disease is associated with degeneration of neuromelanin (NM)-containing substantia nigra dopamine (DA) neurons and subsequent decreases in striatal DA transmission. Dopamine spontaneously forms a melanin through a process called melanogenesis. The present study examines conditions that promote/prevent DA melanogenesis. The kinetics, intermediates, and products of DA conversion to melanin in vitro, and DA melanogenesis under varying levels of Fe3+, pro-oxidants, and antioxidants were examined. The rate of melanogenesis for DA was substantially greater than related catecholamines norepinephrine and epinephrine and their precursor amino acids tyrosine and l-Dopa as measured by UV-IR spectrophotometry. Dopamine melanogenesis was concentration dependent on the pro-oxidant species and Fe3+. Melanogenesis was enhanced by the pro-oxidant hydrogen peroxide (EC50 = 500 μM) and decreased by the antioxidants ascorbate (IC50 = 10 μM) and glutathione (GSH; IC50 = 5 μM). Spectrophotometric results were corroborated by tuning a fast-scan cyclic voltammetry system to monitor DA melanogenesis. Evoked DA release in striatal brain slices resulted in NM formation that was prevented by GSH. These findings suggest that DA melanogenesis occurs spontaneously under physiologically-relevant conditions of oxidative stress and that NM may act as a marker of past exposure to oxidative stress.


Author(s):  
Elisa Castagnola ◽  
Elaine M. Robbins ◽  
Kevin M. Woeppel ◽  
Moriah McGuier ◽  
Asiyeh Golabchi ◽  
...  

Melatonin (MT) has been recently considered an excellent candidate for the treatment of sleep disorders, neural injuries, and neurological diseases. To better investigate the actions of MT in various brain functions, real-time detection of MT concentrations in specific brain regions is much desired. Previously, we have demonstrated detection of exogenously administered MT in anesthetized mouse brain using square wave voltammetry (SWV). Here, for the first time, we show successful detection of exogenous MT in the brain using fast scan cyclic voltammetry (FSCV) on electrochemically pre-activated carbon fiber microelectrodes (CFEs). In vitro evaluation showed the highest sensitivity (28.1 nA/μM) and lowest detection limit (20.2 ± 4.8 nM) ever reported for MT detection at carbon surface. Additionally, an extensive CFE stability and fouling assessment demonstrated that a prolonged CFE pre-conditioning stabilizes the background, in vitro and in vivo, and provides consistent CFE sensitivity over time even in the presence of a high MT concentration. Finally, the stable in vivo background, with minimized CFE fouling, allows us to achieve a drift-free FSCV detection of exogenous administered MT in mouse brain over a period of 3 min, which is significantly longer than the duration limit (usually < 90 s) for traditional in vivo FSCV acquisition. The MT concentration and dynamics measured by FSCV are in good agreement with SWV, while microdialysis further validated the concentration range. These results demonstrated reliable MT detection using FSCV that has the potential to monitor MT in the brain over long periods of time.


2010 ◽  
Vol 113 (3) ◽  
pp. 656-665 ◽  
Author(s):  
Christoph J. Griessenauer ◽  
Su-Youne Chang ◽  
Susannah J. Tye ◽  
Christopher J. Kimble ◽  
Kevin E. Bennet ◽  
...  

Object The authors previously reported the development of the Wireless Instantaneous Neurotransmitter Concentration System (WINCS) for measuring dopamine and suggested that this technology may be useful for evaluating deep brain stimulation–related neuromodulatory effects on neurotransmitter systems. The WINCS supports fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM) for real-time, spatially resolved neurotransmitter measurements. The FSCV parameters used to establish WINCS dopamine measurements are not suitable for serotonin, a neurotransmitter implicated in depression, because they lead to CFM fouling and a loss of sensitivity. Here, the authors incorporate into WINCS a previously described N-shaped waveform applied at a high scan rate to establish wireless serotonin monitoring. Methods Optimized for the detection of serotonin, FSCV consisted of an N-shaped waveform scanned linearly from a resting potential of +0.2 to +1.0 V, then to −0.1 V and back to +0.2 V, at a rate of 1000 V/second. Proof-of-principle tests included flow injection analysis and electrically evoked serotonin release in the dorsal raphe nucleus of rat brain slices. Results Flow cell injection analysis demonstrated that the N waveform, applied at a scan rate of 1000 V/second, significantly reduced serotonin fouling of the CFM, relative to that observed with FSCV parameters for dopamine. In brain slices, WINCS reliably detected subsecond serotonin release in the dorsal raphe nucleus evoked by local high-frequency stimulation. Conclusions The authors found that WINCS supported high-fidelity wireless serotonin monitoring by FSCV at a CFM. In the future such measurements of serotonin in large animal models and in humans may help to establish the mechanism of deep brain stimulation for psychiatric disease.


2021 ◽  
Vol 2 (1) ◽  
pp. 100332
Author(s):  
Chirag Vasavda ◽  
Solomon H. Snyder ◽  
Bindu D. Paul

Sign in / Sign up

Export Citation Format

Share Document