1
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Mena S, Cruikshank A, Best J, Nijhout HF, Reed MC, Hashemi P. Modulation of serotonin transporter expression by escitalopram under inflammation. Commun Biol 2024; 7:710. [PMID: 38851804 PMCID: PMC11162477 DOI: 10.1038/s42003-024-06240-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/24/2024] [Indexed: 06/10/2024] Open
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are widely used for depression based on the monoamine deficiency hypothesis. However, the clinical use of these agents is controversial, in part because of their variable clinical efficacy and in part because of their delayed onset of action. Because of the complexities involved in replicating human disease and clinical dosing in animal models, the scientific community has not reached a consensus on the reasons for these phenomena. In this work, we create a theoretical hippocampal model incorporating escitalopram's pharmacokinetics, pharmacodynamics (competitive and non-competitive inhibition, and serotonin transporter (SERT) internalization), inflammation, and receptor dynamics. With this model, we simulate chronic oral escitalopram in mice showing that days to weeks are needed for serotonin levels to reach steady-state. We show escitalopram's chemical efficacy is diminished under inflammation. Our model thus offers mechanisms for how chronic escitalopram affects brain serotonin, emphasizing the importance of optimized dose and time for future antidepressant discoveries.
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Affiliation(s)
- Sergio Mena
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | | | - Janet Best
- Department of Mathematics, The Ohio State University, Columbus, OH, USA
| | - H F Nijhout
- Department of Biology, Duke University, Durham, NC, USA
| | - Michael C Reed
- Department of Mathematics, Duke University, Durham, NC, USA
| | - Parastoo Hashemi
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
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2
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Faul EBA, Broussard AM, Rivera DR, Pwint MY, Wu B, Cao Q, Bailey D, Cui XT, Castagnola E. Batch Fabrication of Microelectrode Arrays with Glassy Carbon Microelectrodes and Interconnections for Neurochemical Sensing: Promises and Challenges. MICROMACHINES 2024; 15:277. [PMID: 38399004 PMCID: PMC10892456 DOI: 10.3390/mi15020277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
Flexible multielectrode arrays with glassy carbon (GC) electrodes and metal interconnection (hybrid MEAs) have shown promising performance in multi-channel neurochemical sensing. A primary challenge faced by hybrid MEAs fabrication is the adhesion of the metal traces with the GC electrodes, as prolonged electrical and mechanical stimulation can lead to adhesion failure. Previous devices with GC electrodes and interconnects made of a homogeneous material (all GC) demonstrated exceptional electrochemical stability but required miniaturization for enhanced tissue integration and chronic electrochemical sensing. In this study, we used two different methods for the fabrication of all GC-MEAs on thin flexible substrates with miniaturized features. The first method, like that previously reported, involves a double pattern-transfer photolithographic process, including transfer-bonding on temporary polymeric support. The second method requires a double-etching process, which uses a 2 µm-thick low stress silicon nitride coating of the Si wafer as the bottom insulator layer for the MEAs, bypassing the pattern-transfer and demonstrating a novel technique with potential advantages. We confirmed the feasibility of the two fabrication processes by verifying the practical conductivity of 3 µm-wide 2 µm-thick GC traces, the GC microelectrode functionality, and their sensing capability for the detection of serotonin using fast scan cyclic voltammetry. Through the exchange and discussion of insights regarding the strengths and limitations of these microfabrication methods, our goal is to propel the advancement of GC-based MEAs for the next generation of neural interface devices.
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Affiliation(s)
- Emma-Bernadette A. Faul
- Department of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA; (E.-B.A.F.); (A.M.B.); (D.R.R.)
| | - Austin M. Broussard
- Department of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA; (E.-B.A.F.); (A.M.B.); (D.R.R.)
| | - Daniel R. Rivera
- Department of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA; (E.-B.A.F.); (A.M.B.); (D.R.R.)
| | - May Yoon Pwint
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; (M.Y.P.); (B.W.); (Q.C.); (X.T.C.)
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Bingchen Wu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; (M.Y.P.); (B.W.); (Q.C.); (X.T.C.)
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Qun Cao
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; (M.Y.P.); (B.W.); (Q.C.); (X.T.C.)
| | - Davis Bailey
- Institute for Micromanufacturing, Louisiana Tech University, Ruston, LA 15213, USA;
| | - X. Tracy Cui
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; (M.Y.P.); (B.W.); (Q.C.); (X.T.C.)
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15261, USA
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219-3110, USA
| | - Elisa Castagnola
- Department of Biomedical Engineering, Louisiana Tech University, Ruston, LA 71272, USA; (E.-B.A.F.); (A.M.B.); (D.R.R.)
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; (M.Y.P.); (B.W.); (Q.C.); (X.T.C.)
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3
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Witt CE, Mena S, Holmes J, Hersey M, Buchanan AM, Parke B, Saylor R, Honan LE, Berger SN, Lumbreras S, Nijhout FH, Reed MC, Best J, Fadel J, Schloss P, Lau T, Hashemi P. Serotonin is a common thread linking different classes of antidepressants. Cell Chem Biol 2023; 30:1557-1570.e6. [PMID: 37992715 DOI: 10.1016/j.chembiol.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 09/07/2023] [Accepted: 10/12/2023] [Indexed: 11/24/2023]
Abstract
Depression pathology remains elusive. The monoamine hypothesis has placed much focus on serotonin, but due to the variable clinical efficacy of monoamine reuptake inhibitors, the community is looking for alternative therapies such as ketamine (neurogenesis theory of antidepressant action). There is evidence that different classes of antidepressants may affect serotonin levels; a notion we test here. We measure hippocampal serotonin in mice with voltammetry and study the effects of acute challenges of escitalopram, fluoxetine, reboxetine, and ketamine. We find that pseudo-equivalent doses of these drugs similarly raise ambient serotonin levels, despite their differing pharmacodynamics because of differences in Uptake 1 and 2, rapid SERT trafficking, and modulation of serotonin by histamine. These antidepressants have different pharmacodynamics but have strikingly similar effects on extracellular serotonin. Our findings suggest that serotonin is a common thread that links clinically effective antidepressants, synergizing different theories of depression (synaptic plasticity, neurogenesis, and the monoamine hypothesis).
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Affiliation(s)
- Colby E Witt
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Sergio Mena
- Department of Bioengineering, Imperial College London, London, UK
| | - Jordan Holmes
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Melinda Hersey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA; Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Anna Marie Buchanan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA; Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Brenna Parke
- Department of Bioengineering, Imperial College London, London, UK
| | - Rachel Saylor
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Lauren E Honan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Shane N Berger
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Sara Lumbreras
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Michael C Reed
- Department of Mathematics, Duke University, Durham, NC, USA
| | - Janet Best
- Department of Mathematics, The Ohio State University, Columbus, OH, USA
| | - James Fadel
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Patrick Schloss
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany
| | - Thorsten Lau
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany; Department of Neuroanatomy, Mannheim Centre for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA; Department of Bioengineering, Imperial College London, London, UK.
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4
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Witt CE, Mena S, Holmes J, Hersey M, Buchanan AM, Parke B, Saylor R, Honan LE, Berger SN, Lumbreras S, Nijhout FH, Reed MC, Best J, Fadel J, Schloss P, Lau T, Hashemi P. Serotonin is a Common Thread Linking Different Classes of Antidepressants. RESEARCH SQUARE 2023:rs.3.rs-2741902. [PMID: 37034599 PMCID: PMC10081366 DOI: 10.21203/rs.3.rs-2741902/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Depression pathology remains elusive. The monoamine hypothesis has placed much focus on serotonin, but due to the variable clinical efficacy of monoamine reuptake inhibitors, the community is looking for alternative therapies such as ketamine (synaptic plasticity and neurogenesis theory of antidepressant action). There is evidence that different classes of antidepressants may affect serotonin levels; a notion we test here. We measure hippocampal serotonin in mice with voltammetry and study the effects of acute challenges of antidepressants. We find that pseudo-equivalent doses of these drugs similarly raise ambient serotonin levels, despite their differing pharmacodynamics because of differences in Uptake 1 and 2, rapid SERT trafficking and modulation of serotonin by histamine. These antidepressants have different pharmacodynamics but have strikingly similar effects on extracellular serotonin. Our findings suggest that serotonin is a common thread that links clinically effective antidepressants, synergizing different theories of depression (synaptic plasticity, neurogenesis and the monoamine hypothesis).
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Affiliation(s)
- Colby E. Witt
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Sergio Mena
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Jordan Holmes
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Melinda Hersey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Anna Marie Buchanan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Brenna Parke
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Rachel Saylor
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Lauren E. Honan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Shane N. Berger
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
| | - Sara Lumbreras
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany
| | | | | | - Janet Best
- Department of Mathematics, The Ohio State University, Columbus, OH, USA
| | - James Fadel
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Patrick Schloss
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany
| | - Thorsten Lau
- Department of Psychiatry and Psychotherapy, Biochemical Laboratory, Central Institute of Mental Health, Medical Faculty, Mannheim, Heidelberg University, Mannheim, Germany
- Department of Neuroanatomy, Mannheim Centre for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, USA
- Department of Bioengineering, Imperial College London, London, United Kingdom
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5
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West AM, Holleran KM, Jones SR. Kappa Opioid Receptors Reduce Serotonin Uptake and Escitalopram Efficacy in the Mouse Substantia Nigra Pars Reticulata. Int J Mol Sci 2023; 24:ijms24032080. [PMID: 36768403 PMCID: PMC9916942 DOI: 10.3390/ijms24032080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023] Open
Abstract
The serotonin and kappa opioid receptor (KOR) systems are strongly implicated in disorders of negative affect, such as anxiety and depression. KORs expressed on axon terminals inhibit the release of neurotransmitters, including serotonin. The substantia nigra pars reticulata (SNr) is involved in regulating affective behaviors. It receives the densest serotonergic innervation in the brain and has high KOR expression; however, the influence of KORs on serotonin transmission in this region is yet to be explored. Here, we used ex vivo fast-scan cyclic voltammetry (FSCV) to investigate the effects of a KOR agonist, U50, 488 (U50), and a selective serotonin reuptake inhibitor, escitalopram, on serotonin release and reuptake in the SNr. U50 alone reduced serotonin release and uptake, and escitalopram alone augmented serotonin release and slowed reuptake, while pretreatment with U50 blunted both the release and uptake effects of escitalopram. Here, we show that the KOR influences serotonin signaling in the SNr in multiple ways and short-term activation of the KOR alters serotonin responses to escitalopram. These interactions between KORs and serotonin may contribute to the complexity in the responses to treatments for disorders of negative affect. Ultimately, the KOR system may prove to be a promising pharmacological target, alongside traditional antidepressant treatments.
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6
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Vaneev AN, Timoshenko RV, Gorelkin PV, Klyachko NL, Korchev YE, Erofeev AS. Nano- and Microsensors for In Vivo Real-Time Electrochemical Analysis: Present and Future Perspectives. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12213736. [PMID: 36364512 PMCID: PMC9656311 DOI: 10.3390/nano12213736] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/16/2022] [Accepted: 10/21/2022] [Indexed: 05/14/2023]
Abstract
Electrochemical nano- and microsensors have been a useful tool for measuring different analytes because of their small size, sensitivity, and favorable electrochemical properties. Using such sensors, it is possible to study physiological mechanisms at the cellular, tissue, and organ levels and determine the state of health and diseases. In this review, we highlight recent advances in the application of electrochemical sensors for measuring neurotransmitters, oxygen, ascorbate, drugs, pH values, and other analytes in vivo. The evolution of electrochemical sensors is discussed, with a particular focus on the development of significant fabrication schemes. Finally, we highlight the extensive applications of electrochemical sensors in medicine and biological science.
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Affiliation(s)
- Alexander N. Vaneev
- Research Laboratory of Biophysics, National University of Science and Technology “MISiS”, 119049 Moscow, Russia
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Roman V. Timoshenko
- Research Laboratory of Biophysics, National University of Science and Technology “MISiS”, 119049 Moscow, Russia
| | - Petr V. Gorelkin
- Research Laboratory of Biophysics, National University of Science and Technology “MISiS”, 119049 Moscow, Russia
| | - Natalia L. Klyachko
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Yuri E. Korchev
- Department of Medicine, Imperial College London, London W12 0NN, UK
| | - Alexander S. Erofeev
- Research Laboratory of Biophysics, National University of Science and Technology “MISiS”, 119049 Moscow, Russia
- Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia
- Correspondence:
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7
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Holmes J, Lau T, Saylor R, Fernández-Novel N, Hersey M, Keen D, Hampel L, Horschitz S, Ladewig J, Parke B, Reed MC, Nijhout HF, Best J, Koch P, Hashemi P. Voltammetric Approach for Characterizing the Biophysical and Chemical Functionality of Human Induced Pluripotent Stem Cell-Derived Serotonin Neurons. Anal Chem 2022; 94:8847-8856. [PMID: 35713335 DOI: 10.1021/acs.analchem.1c05082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Depression is quickly becoming one of the world's most pressing public health crises, and there is an urgent need for better diagnostics and therapeutics. Behavioral models in animals and humans have not adequately addressed the diagnosis and treatment of depression, and biomarkers of mental illnesses remain ill-defined. It has been very difficult to identify biomarkers of depression because of in vivo measurement challenges. While our group has made important strides in developing in vivo tools to measure such biomarkers (e.g., serotonin) in mice using voltammetry, these tools cannot be easily applied for depression diagnosis and drug screening in humans due to the inaccessibility of the human brain. In this work, we take a chemical approach, ex vivo, to introduce a human-derived system to investigate brain serotonin. We utilize human induced pluripotent stem cells differentiated into serotonin neurons and establish a new ex vivo model of real-time serotonin neurotransmission measurements. We show that evoked serotonin release responds to stimulation intensity and tryptophan preloading, and that serotonin release and reuptake kinetics resemble those found in vivo in rodents. Finally, after selective serotonin reuptake inhibitor (SSRI) exposure, we find dose-dependent internalization of the serotonin reuptake transporters (a signature of the in vivo response to SSRI). Our new human-derived chemical model has great potential to provide an ex vivo chemical platform as a translational tool for in vivo neuropsychopharmacology.
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Affiliation(s)
- Jordan Holmes
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Thorsten Lau
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Rachel Saylor
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Nadine Fernández-Novel
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Melinda Hersey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.,Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina, Columbia, South Carolina 29209, United States
| | - Deanna Keen
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States
| | - Lena Hampel
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Sandra Horschitz
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Julia Ladewig
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Brenna Parke
- Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K
| | - Michael C Reed
- Department of Mathematics, Duke University, Durham, North Carolina 27708, United States
| | - H Frederik Nijhout
- Department of Biology, Duke University, Durham, North Carolina 27708, United States
| | - Janet Best
- Department of Mathematics, The Ohio State University, Columbus, Ohio 43210, United States
| | - Philipp Koch
- Department of Translational Brain Research, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, 68159 Mannheim, Germany.,German Cancer Research Center, 69120 Heidelberg, Germany.,HITBR Hector Institute for Translational Brain Research gGmbH, 68159 Mannheim, Germany
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.,Department of Bioengineering, Imperial College London, London SW7 2AZ, U.K
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8
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Mena S, Visentin M, Witt CE, Honan LE, Robins N, Hashemi P. Novel, User-Friendly Experimental and Analysis Strategies for Fast Voltammetry: Next Generation FSCAV with Artificial Neural Networks. ACS MEASUREMENT SCIENCE AU 2022; 2:241-250. [PMID: 35726253 PMCID: PMC9204809 DOI: 10.1021/acsmeasuresciau.1c00060] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 05/15/2023]
Abstract
Fast-scan adsorption-controlled voltammetry (FSCAV) was recently derived from fast-scan cyclic voltammetry to estimate the absolute concentrations of neurotransmitters by using the innate adsorption properties of carbon fiber microelectrodes. This technique has improved our knowledge of serotonin dynamics in vivo. However, the analysis of FSCAV data is laborious and technically challenging. First, each electrode requires post-experimental in vitro calibration. Second, current analysis methods are semi-manual and time-consuming and require a steep learning curve. Finally, the calibration methods used do not adapt to nonlinear electrode responses. In this work, we provide freely accessible computational solutions to these issues. First, we design an artificial neural network (ANN) and train it with a large data set (calibrations from 140 electrodes by six different researchers) to achieve calibration-free estimations and improve predictive error. We discuss the power of the ANN to obtain a low predictive error without electrode-specific calibrations as a function of being able to predict the sensitivity of the electrode. We use the ANN to successfully predict the absolute serotonin concentrations of real in vivo data. Finally, we create a fast and user-friendly, fully automated analysis web platform to simplify and reduce the expertise required for the postanalysis of FSCAV signals.
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Affiliation(s)
- Sergio Mena
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Marco Visentin
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Colby E. Witt
- Department
of Chemistry and Biochemistry, University
of South Carolina, Columbia, South Carolina 29208, United States
| | - Lauren E. Honan
- Department
of Chemistry and Biochemistry, University
of South Carolina, Columbia, South Carolina 29208, United States
| | - Nathan Robins
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Parastoo Hashemi
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
- Department
of Chemistry and Biochemistry, University
of South Carolina, Columbia, South Carolina 29208, United States
- . Phone: +44 20 7594 9193
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9
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Witt CE, Mena S, Honan LE, Batey L, Salem V, Ou Y, Hashemi P. Low-Frequency Oscillations of In Vivo Ambient Extracellular Brain Serotonin. Cells 2022; 11:1719. [PMID: 35626755 PMCID: PMC9139485 DOI: 10.3390/cells11101719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 02/04/2023] Open
Abstract
Serotonin is an important neurotransmitter that plays a major role in many aspects of neuroscience. Fast-scan cyclic voltammetry measures fast in vivo serotonin dynamics using carbon fiber microelectrodes. More recently, fast-scan controlled-adsorption voltammetry (FSCAV) has been developed to measure slower, minute-to-minute changes in ambient extracellular serotonin. We have previously demonstrated that FSCAV measurements of basal serotonin levels give critical information regarding brain physiology and disease. In this work, we revealed the presence of low-periodicity fluctuations in serotonin levels in mouse hippocampi, measured in vivo with FSCAV. Using correlation analyses, we found robust evidence of oscillations in the basal serotonin levels, which had a period of 10 min and were not present in vitro. Under control conditions, the oscillations did not differ between male and female mice, nor do they differ between mice that underwent a chronic stress paradigm and those in the control group. After the acute administration of a selective serotonin reuptake inhibitor, we observed a shift in the frequency of the oscillations, leading us to hypothesize that the newly observed fluctuations were transporter regulated. Finally, we optimized the experimental parameters of the FSCAV to measure at a higher temporal resolution and found more pronounced shifts in the oscillation frequency, along with a decreased oscillation amplitude. We postulate that this work may serve as a potential bridge for studying serotonin/endocrine interactions that occur on the same time scale.
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Affiliation(s)
- Colby E. Witt
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (C.E.W.); (L.E.H.); (Y.O.)
| | - Sergio Mena
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK; (S.M.); (L.B.); (V.S.)
| | - Lauren E. Honan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (C.E.W.); (L.E.H.); (Y.O.)
| | - Lauren Batey
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK; (S.M.); (L.B.); (V.S.)
| | - Victoria Salem
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK; (S.M.); (L.B.); (V.S.)
| | - Yangguang Ou
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (C.E.W.); (L.E.H.); (Y.O.)
- Department of Chemistry, University of Vermont, Burlington, VT 05405, USA
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (C.E.W.); (L.E.H.); (Y.O.)
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK; (S.M.); (L.B.); (V.S.)
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10
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Lawrence AJ, Prado MA. Editorial: Exciting developments in neurochemistry research and publishing. J Neurochem 2022; 162:151-155. [PMID: 35524403 DOI: 10.1111/jnc.15595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 12/01/2022]
Abstract
In this editorial, we are happy to connect with our community to explain the changes introduced to the Journal of Neurochemistry over the last year and provide some insights into new developments and exciting opportunities. We anticipate these developments, which are strongly guided to increase transparency and support early career researchers, will increase the value of the Journal of Neurochemistry for the authors and readers. Ultimately, we hope to improve the author experience with the Journal of Neurochemistry and continue to be the leading venue for fast dissemination of exciting new research focusing on how molecules, cells and circuits regulate the nervous system in health and disease.
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Affiliation(s)
- Andrew J Lawrence
- The Florey Institute of Neuroscience & Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Marco A Prado
- University of Western Ontario, Robarts Research Institute, London, Ontario, Canada
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11
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Ribaudo G, Bortoli M, Witt CE, Parke B, Mena S, Oselladore E, Zagotto G, Hashemi P, Orian L. ROS-Scavenging Selenofluoxetine Derivatives Inhibit In Vivo Serotonin Reuptake. ACS OMEGA 2022; 7:8314-8322. [PMID: 35309454 PMCID: PMC8928538 DOI: 10.1021/acsomega.1c05567] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/31/2021] [Indexed: 06/14/2023]
Abstract
While the neurochemistry that underpins the behavioral phenotypes of depression is the subject of many studies, oxidative stress caused by the inflammation comorbid with depression has not adequately been addressed. In this study, we described novel antidepressant-antioxidant agents consisting of selenium-modified fluoxetine derivatives to simultaneously target serotonin reuptake (antidepressant action) and oxidative stress. Excitingly, we show that one of these agents (1-F) carries the ability to inhibit serotonin reuptake in vivo in mice. We therefore present a frontier dual strategy that paves the way for the future of antidepressant therapies.
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Affiliation(s)
- Giovanni Ribaudo
- Dipartimento
di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Viale Europa 11, 25123 Brescia, Italy
| | - Marco Bortoli
- Dipartimento
di Scienze Chimiche, Università degli
Studi di Padova Via Marzolo 1, 35131 Padova, Italy
- Institut
de Química Computacional i Catàlisi and Departament
de Química, Universitat de Girona, c/Maria Aurèlia Capmany 69, 17003 Girona, Catalonia, Spain
| | - Colby E. Witt
- Department
of Chemistry and Biochemistry, University
of South Carolina, Columbia South Carolina 29201, United States
| | - Brenna Parke
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, U.K.
| | - Sergio Mena
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, U.K.
| | - Erika Oselladore
- Dipartimento
di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Viale Europa 11, 25123 Brescia, Italy
| | - Giuseppe Zagotto
- Dipartimento
di Scienze del Farmaco, Università
degli Studi di Padova, Via Marzolo 5, 35131 Padova, Italy
| | - Parastoo Hashemi
- Department
of Bioengineering, Imperial College London, London SW7 2AZ, U.K.
- Department
of Chemistry and Biochemistry, University
of South Carolina, Columbia South Carolina 29201, United States
| | - Laura Orian
- Dipartimento
di Scienze Chimiche, Università degli
Studi di Padova Via Marzolo 1, 35131 Padova, Italy
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12
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Yuen J, Goyal A, Rusheen AE, Kouzani AZ, Berk M, Kim JH, Tye SJ, Blaha CD, Bennet KE, Lee KH, Oh Y, Shin H. Cocaine increases stimulation-evoked serotonin efflux in the nucleus accumbens. J Neurophysiol 2022; 127:714-724. [PMID: 34986049 PMCID: PMC8896999 DOI: 10.1152/jn.00420.2021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Although dopamine is the most implicated neurotransmitter in the mediation of the pathophysiology of addiction, animal studies show serotonin also plays a vital role. Cocaine is one of the most common illicit drugs globally, but the role of serotonin in its mechanism of action is insufficiently characterized. Consequently, we investigated the acute effects of the psychomotor stimulant cocaine on electrical stimulation-evoked serotonin (phasic) release in the nucleus accumbens core (NAcc) of urethane-anesthetized (1.5 g/kg ip) male Sprague-Dawley rats using N-shaped fast-scan cyclic voltammetry (N-FSCV). A single carbon fiber microelectrode was first implanted in the NAcc. Stimulation was applied to the medial forebrain bundle using 60 Hz, 2 ms, 0.2 mA, 2-s biphasic pulses before and after cocaine (2 mg/kg iv) was administered. Stimulation-evoked serotonin release significantly increased 5 min after cocaine injection compared with baseline (153 ± 21 nM vs. 257 ± 12 nM; P = 0.0042; n = 5) but was unaffected by saline injection (1 mL/kg iv; n = 5). N-FSCV's selective measurement of serotonin release in vivo was confirmed pharmacologically via administration of the selective serotonin reuptake inhibitor escitalopram (10 mg/kg ip) that effectively increased the signal in a separate group of rats (n = 5). Selectivity to serotonin was further confirmed in vitro in which dopamine was minimally detected by N-FSCV with a serotonin to dopamine response ratio of 1:0.04 (200 nM of serotonin:1 µM dopamine ratio; P = 0.0048; n = 5 electrodes). This study demonstrates a noteworthy influence of cocaine on serotonin dynamics, and confirms that N-FSCV can effectively and selectively measure phasic serotonin release in the NAcc.NEW & NOTEWORTHY Serotonin plays a vital role in drug addiction. Here, using N-shaped fast-scan cyclic voltammetry, we demonstrated the effect of cocaine on the phasic release of serotonin at the nucleus accumbens core. To the best of our knowledge, this has not previously been elucidated. Our results not only reinforce the role of serotonin in the mechanism of action of cocaine but also help to fill a gap in our knowledge and provide a baseline for future studies in cocaine addiction.
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Affiliation(s)
- Jason Yuen
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,4IMPACT—the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Abhinav Goyal
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,2Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota
| | - Aaron E. Rusheen
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,2Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota
| | - Abbas Z. Kouzani
- 3School of Engineering, Deakin University, Geelong, Victoria, Australia
| | - Michael Berk
- 4IMPACT—the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Jee Hyun Kim
- 4IMPACT—the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Susannah J. Tye
- 6Queensland Brain Institute, The University of Queensland, St Lucia, Queensland, Australia
| | - Charles D. Blaha
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Kevin E. Bennet
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,7Division of Engineering, Mayo Clinic, Rochester, Minnesota
| | - Kendall H. Lee
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,5Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
| | - Yoonbae Oh
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota,5Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
| | - Hojin Shin
- 1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
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13
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Shin H, Goyal A, Barnett JH, Rusheen AE, Yuen J, Jha R, Hwang SM, Kang Y, Park C, Cho HU, Blaha CD, Bennet KE, Oh Y, Heien ML, Jang DP, Lee KH. Tonic Serotonin Measurements In Vivo Using N-Shaped Multiple Cyclic Square Wave Voltammetry. Anal Chem 2021; 93:16987-16994. [PMID: 34855368 DOI: 10.1021/acs.analchem.1c02131] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Here, we present the development of a novel voltammetric technique, N-shaped multiple cyclic square wave voltammetry (N-MCSWV) and its application in vivo. It allows quantitative measurements of tonic extracellular levels of serotonin in vivo with mitigated fouling effects. N-MCSWV enriches the electrochemical information by generating high dimensional voltammograms, which enables high sensitivity and selectivity against 5-hydroindoleacetic acid (5-HIAA), dopamine, 3,4-dihydroxyphenylacetic acid (DOPAC), histamine, ascorbic acid, norepinephrine, adenosine, and pH. Using N-MCSWV, in combination with PEDOT:Nafion-coated carbon fiber microelectrodes, a tonic serotonin concentration of 52 ± 5.8 nM (n = 20 rats, ±SEM) was determined in the substantia nigra pars reticulata of urethane-anesthetized rats. Pharmacological challenges with dopaminergic, noradrenergic, and serotonergic synaptic reuptake inhibitors supported the ability of N-MCSWV to selectively detect tonic serotonin levels in vivo. Overall, N-MCSWV is a novel voltammetric technique for analytical quantification of serotonin. It offers continuous monitoring of changes in tonic serotonin concentrations in the brain to further our understanding of the role of serotonin in normal behaviors and psychiatric disorders.
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Affiliation(s)
- Hojin Shin
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Abhinav Goyal
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - J Hudson Barnett
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Aaron E Rusheen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, VIC 3216, Australia
| | - Rohan Jha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Sang Mun Hwang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Yumin Kang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Cheonho Park
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Hyun-U Cho
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Charles D Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Kevin E Bennet
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Division of Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Michael L Heien
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721, United States
| | - Dong Pyo Jang
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota 55905, United States.,Department of Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States
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14
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Turk AZ, Lotfi Marchoubeh M, Fritsch I, Maguire GA, SheikhBahaei S. Dopamine, vocalization, and astrocytes. BRAIN AND LANGUAGE 2021; 219:104970. [PMID: 34098250 PMCID: PMC8260450 DOI: 10.1016/j.bandl.2021.104970] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 05/21/2021] [Accepted: 05/23/2021] [Indexed: 05/06/2023]
Abstract
Dopamine, the main catecholamine neurotransmitter in the brain, is predominately produced in the basal ganglia and released to various brain regions including the frontal cortex, midbrain and brainstem. Dopamine's effects are widespread and include modulation of a number of voluntary and innate behaviors. Vigilant regulation and modulation of dopamine levels throughout the brain is imperative for proper execution of motor behaviors, in particular speech and other types of vocalizations. While dopamine's role in motor circuitry is widely accepted, its unique function in normal and abnormal speech production is not fully understood. In this perspective, we first review the role of dopaminergic circuits in vocal production. We then discuss and propose the conceivable involvement of astrocytes, the numerous star-shaped glia cells of the brain, in the dopaminergic network modulating normal and abnormal vocal productions.
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Affiliation(s)
- Ariana Z Turk
- Neuron-Glia Signaling and Circuits Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, 20892 MD, USA
| | - Mahsa Lotfi Marchoubeh
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, 72701 AR, USA
| | - Ingrid Fritsch
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, 72701 AR, USA
| | - Gerald A Maguire
- Department of Psychiatry and Neuroscience, School of Medicine, University of California, Riverside, 92521 CA, USA
| | - Shahriar SheikhBahaei
- Neuron-Glia Signaling and Circuits Unit, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, 20892 MD, USA.
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15
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Holmes J, Witt CE, Keen D, Buchanan AM, Batey L, Hersey M, Hashemi P. Glutamate Electropolymerization on Carbon Increases Analytical Sensitivity to Dopamine and Serotonin: An Auspicious In Vivo Phenomenon in Mice? Anal Chem 2021; 93:10762-10771. [PMID: 34328714 DOI: 10.1021/acs.analchem.0c04316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Carbon is the material of choice for electroanalysis of biological systems, being particularly applicable to neurotransmitter analysis as carbon fiber microelectrodes (CFMs). CFMs are most often applied to dopamine detection; however, the scope of CFM analysis has rapidly expanded over the last decade with our laboratory's focus being on improving serotonin detection at CFMs, which we achieved in the past via Nafion modification. We began this present work by seeking to optimize this modification to gain increased analytical sensitivity toward serotonin under the assumption that exposure of bare carbon to the in vivo environment rapidly deteriorates analytical performance. However, we were unable to experimentally verify this assumption and found that electrodes that had been exposed to the in vivo environment were more sensitive to evoked and ambient dopamine. We hypothesized that high in vivo concentrations of ambient extracellular glutamate could polymerize with a negative charge onto CFMs and facilitate response to dopamine. We verified this polymerization electrochemically and characterized the mechanisms of deposition with micro- and nano-imaging. Importantly, we identified that the application of 1.3 V as a positive upper waveform limit is a crucial factor for facilitating glutamate polymerization, thus improving analytical performance. Critically, information gained from these dopamine studies were extended to an in vivo environment where a 2-fold increase in sensitivity to evoked serotonin was achieved. Thus, we present here the novel finding that innate aspects of the in vivo environment are auspicious for detection of dopamine and serotonin at carbon fibers, offering a solution to our goal of an improved fast-scan cyclic voltammetry serotonin detection paradigm.
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Affiliation(s)
- Jordan Holmes
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States
| | - Colby E Witt
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States
| | - Deanna Keen
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States
| | - Anna Marie Buchanan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States.,Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, South Carolina, 29209 United States
| | - Lauren Batey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States.,Department of Bioengineering, Imperial College, London, SW7 2AZ UK
| | - Melinda Hersey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States.,Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, South Carolina, 29209 United States
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, 29208 United States.,Department of Bioengineering, Imperial College, London, SW7 2AZ UK
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16
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Experimental Methods for Investigating Uptake 2 Processes In Vivo. Handb Exp Pharmacol 2021; 266:101-117. [PMID: 34196807 DOI: 10.1007/164_2021_452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Neuromodulators are critical regulators of the brain's signaling processes, and thus they are popular pharmacological targets for psychoactive therapies. It is clear that monoamine uptake mechanisms are complicated and subject to multiple uptake mechanisms. Uptake 1 describes uptake of the monoamine via its designated transporter (SERT for serotonin, NET for norepinephrine, and DAT for dopamine), whereas Uptake 2 details multiple transporter types on neurons and glia taking up different types of modulators, not necessarily specific to the monoamine. While Uptake 1 processes have been well-studied over the past few decades, Uptake 2 mechanisms have remained more difficult to study because of the limitations in methods that have the sensitivity and spatiotemporal resolution to look at the subtleties in uptake profiles. In this chapter we review the different experimental approaches that have yielded important information about Uptake 2 mechanisms in vivo. The techniques (scintillation microspectrophotometry, microdialysis, chronoamperometry, and voltammetry) are described in detail, and pivotal studies associated with each method are highlighted. It is clear from these reviewed works that Uptake 2 processes are critical to consider to advance our understanding of the brain and develop effective neuropsychiatric therapies.
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17
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Inflammation-Induced Histamine Impairs the Capacity of Escitalopram to Increase Hippocampal Extracellular Serotonin. J Neurosci 2021; 41:6564-6577. [PMID: 34083254 DOI: 10.1523/jneurosci.2618-20.2021] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 01/11/2023] Open
Abstract
Commonly prescribed selective serotonin reuptake inhibitors (SSRIs) inhibit the serotonin transporter to correct a presumed deficit in extracellular serotonin signaling during depression. These agents bring clinical relief to many who take them; however, a significant and growing number of individuals are resistant to SSRIs. There is emerging evidence that inflammation plays a significant role in the clinical variability of SSRIs, though how SSRIs and inflammation intersect with synaptic serotonin modulation remains unknown. In this work, we use fast in vivo serotonin measurement tools to investigate the nexus between serotonin, inflammation, and SSRIs. Upon acute systemic lipopolysaccharide (LPS) administration in male and female mice, we find robust decreases in extracellular serotonin in the mouse hippocampus. We show that these decreased serotonin levels are supported by increased histamine activity (because of inflammation), acting on inhibitory histamine H3 heteroreceptors on serotonin terminals. Importantly, under LPS-induced histamine increase, the ability of escitalopram to augment extracellular serotonin is impaired because of an off-target action of escitalopram to inhibit histamine reuptake. Finally, we show that a functional decrease in histamine synthesis boosts the ability of escitalopram to increase extracellular serotonin levels following LPS. This work reveals a profound effect of inflammation on brain chemistry, specifically the rapidity of inflammation-induced decreased extracellular serotonin, and points the spotlight at a potentially critical player in the pathology of depression, histamine. The serotonin/histamine homeostasis thus, may be a crucial new avenue in improving serotonin-based treatments for depression.SIGNIFICANCE STATEMENT Acute LPS-induced inflammation (1) increases CNS histamine, (2) decreases CNS serotonin (via inhibitory histamine receptors), and (3) prevents a selective serotonin reuptake inhibitor (SSRI) from effectively increasing extracellular serotonin. A targeted depletion of histamine recovers SSRI-induced increases in extracellular hippocampal serotonin.
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18
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Denton AR, Mactutus CF, Lateef AU, Harrod SB, Booze RM. Chronic SSRI treatment reverses HIV-1 protein-mediated synaptodendritic damage. J Neurovirol 2021; 27:403-421. [PMID: 34003469 PMCID: PMC8504184 DOI: 10.1007/s13365-021-00960-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/11/2021] [Accepted: 02/17/2021] [Indexed: 02/07/2023]
Abstract
HIV-1 infection affects approximately 37 million individuals, and approximately 50% of seropositive individuals will develop symptoms of clinical depression and/or apathy. Dysfunctions of both serotonergic and dopaminergic neurotransmission have been implicated in the pathogenesis of motivational alterations. The present study evaluated the efficacy of a SSRI (escitalopram) in the HIV-1 transgenic (Tg) rat. Behavioral, neurochemical, and neuroanatomical outcomes with respect to HIV-1 and sex were evaluated to determine the efficacy of chronic escitalopram treatment. Escitalopram treatment restored function in each of the behavioral tasks that were sensitive to HIV-1-induced impairments. Further, escitalopram treatment restored HIV-1-mediated synaptodendritic damage in the nucleus accumbens; treatment with escitalopram significantly increased dendritic proliferation in HIV-1 Tg rats. However, restoration did not consistently occur with the neurochemical analysis in the HIV-1 rat. Taken together, these results suggest a role for SSRI therapies in repairing long-term HIV-1 protein-mediated neuronal damage and restoring function.
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Affiliation(s)
- Adam R Denton
- Behavioral Neuroscience Laboratory, Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Charles F Mactutus
- Behavioral Neuroscience Laboratory, Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Almeera U Lateef
- Behavioral Neuroscience Laboratory, Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Steven B Harrod
- Behavioral Neuroscience Laboratory, Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Rosemarie M Booze
- Behavioral Neuroscience Laboratory, Department of Psychology, University of South Carolina, Columbia, South Carolina, USA.
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19
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Purcell EK, Becker MF, Guo Y, Hara SA, Ludwig KA, McKinney CJ, Monroe EM, Rechenberg R, Rusinek CA, Saxena A, Siegenthaler JR, Sortwell CE, Thompson CH, Trevathan JK, Witt S, Li W. Next-Generation Diamond Electrodes for Neurochemical Sensing: Challenges and Opportunities. MICROMACHINES 2021; 12:128. [PMID: 33530395 PMCID: PMC7911340 DOI: 10.3390/mi12020128] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/19/2021] [Accepted: 01/19/2021] [Indexed: 12/12/2022]
Abstract
Carbon-based electrodes combined with fast-scan cyclic voltammetry (FSCV) enable neurochemical sensing with high spatiotemporal resolution and sensitivity. While their attractive electrochemical and conductive properties have established a long history of use in the detection of neurotransmitters both in vitro and in vivo, carbon fiber microelectrodes (CFMEs) also have limitations in their fabrication, flexibility, and chronic stability. Diamond is a form of carbon with a more rigid bonding structure (sp3-hybridized) which can become conductive when boron-doped. Boron-doped diamond (BDD) is characterized by an extremely wide potential window, low background current, and good biocompatibility. Additionally, methods for processing and patterning diamond allow for high-throughput batch fabrication and customization of electrode arrays with unique architectures. While tradeoffs in sensitivity can undermine the advantages of BDD as a neurochemical sensor, there are numerous untapped opportunities to further improve performance, including anodic pretreatment, or optimization of the FSCV waveform, instrumentation, sp2/sp3 character, doping, surface characteristics, and signal processing. Here, we review the state-of-the-art in diamond electrodes for neurochemical sensing and discuss potential opportunities for future advancements of the technology. We highlight our team's progress with the development of an all-diamond fiber ultramicroelectrode as a novel approach to advance the performance and applications of diamond-based neurochemical sensors.
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Affiliation(s)
- Erin K. Purcell
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA; (Y.G.); (A.S.); (W.L.)
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI 48824, USA;
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, USA;
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Michael F. Becker
- Fraunhofer USA Center Midwest, East Lansing, MI 48824, USA; (M.F.B.); (R.R.); (J.R.S.); (S.W.)
| | - Yue Guo
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA; (Y.G.); (A.S.); (W.L.)
| | - Seth A. Hara
- Division of Engineering, Mayo Clinic, Rochester, MN 55905, USA;
| | - Kip A. Ludwig
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.A.L.); (J.K.T.)
- Department of Neurosurgery, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Collin J. McKinney
- Department of Chemistry, Electronics Core Facility, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA;
| | - Elizabeth M. Monroe
- Department of Chemistry and Biochemistry, University of Nevada, Las Vegas, NV 89154, USA; (E.M.M.); (C.A.R.)
| | - Robert Rechenberg
- Fraunhofer USA Center Midwest, East Lansing, MI 48824, USA; (M.F.B.); (R.R.); (J.R.S.); (S.W.)
| | - Cory A. Rusinek
- Department of Chemistry and Biochemistry, University of Nevada, Las Vegas, NV 89154, USA; (E.M.M.); (C.A.R.)
| | - Akash Saxena
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA; (Y.G.); (A.S.); (W.L.)
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - James R. Siegenthaler
- Fraunhofer USA Center Midwest, East Lansing, MI 48824, USA; (M.F.B.); (R.R.); (J.R.S.); (S.W.)
| | - Caryl E. Sortwell
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, USA;
- Department of Translational Neuroscience, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA
| | - Cort H. Thompson
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI 48824, USA;
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - James K. Trevathan
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; (K.A.L.); (J.K.T.)
- Grainger Institute for Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Suzanne Witt
- Fraunhofer USA Center Midwest, East Lansing, MI 48824, USA; (M.F.B.); (R.R.); (J.R.S.); (S.W.)
| | - Wen Li
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA; (Y.G.); (A.S.); (W.L.)
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI 48824, USA;
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, USA;
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
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20
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Castagnola E, Thongpang S, Hirabayashi M, Nava G, Nimbalkar S, Nguyen T, Lara S, Oyawale A, Bunnell J, Moritz C, Kassegne S. Glassy carbon microelectrode arrays enable voltage-peak separated simultaneous detection of dopamine and serotonin using fast scan cyclic voltammetry. Analyst 2021; 146:3955-3970. [DOI: 10.1039/d1an00425e] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Glassy carbon (GC) microelectrode arrays can simultaneously discriminate the reduction and oxidation peaks of dopamine and serotonin at low concentrations (10–200 nM). They demonstrated fast electron transfer kinetics and good fouling properties.
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21
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Best J, Duncan W, Sadre-Marandi F, Hashemi P, Nijhout HF, Reed M. Autoreceptor control of serotonin dynamics. BMC Neurosci 2020; 21:40. [PMID: 32967609 PMCID: PMC7509944 DOI: 10.1186/s12868-020-00587-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/29/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Serotonin is a neurotransmitter that has been linked to a wide variety of behaviors including feeding and body-weight regulation, social hierarchies, aggression and suicidality, obsessive compulsive disorder, alcoholism, anxiety, and affective disorders. Full understanding involves genomics, neurochemistry, electrophysiology, and behavior. The scientific issues are daunting but important for human health because of the use of selective serotonin reuptake inhibitors and other pharmacological agents to treat disorders. This paper presents a new deterministic model of serotonin metabolism and a new systems population model that takes into account the large variation in enzyme and transporter expression levels, tryptophan input, and autoreceptor function. RESULTS We discuss the steady state of the model and the steady state distribution of extracellular serotonin under different hypotheses on the autoreceptors and we show the effect of tryptophan input on the steady state and the effect of meals. We use the deterministic model to interpret experimental data on the responses in the hippocampus of male and female mice, and to illustrate the short-time dynamics of the autoreceptors. We show there are likely two reuptake mechanisms for serotonin and that the autoreceptors have long-lasting influence and compare our results to measurements of serotonin dynamics in the substantia nigra pars reticulata. We also show how histamine affects serotonin dynamics. We examine experimental data that show very variable response curves in populations of mice and ask how much variation in parameters in the model is necessary to produce the observed variation in the data. Finally, we show how the systems population model can potentially be used to investigate specific biological and clinical questions. CONCLUSIONS We have shown that our new models can be used to investigate the effects of tryptophan input and meals and the behavior of experimental response curves in different brain nuclei. The systems population model incorporates individual variation and can be used to investigate clinical questions and the variation in drug efficacy. The codes for both the deterministic model and the systems population model are available from the authors and can be used by other researchers to investigate the serotonergic system.
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Affiliation(s)
- Janet Best
- Department of Mathematics, The Ohio State University, 231 W 18th Ave., Columbus, OH 43210 USA
| | - William Duncan
- Department of Mathematics, Duke University, Durham, NC 27708 USA
| | | | - Parastoo Hashemi
- Department of Bioengineering, Imperial College, London, SW7 2AZ UK
| | | | - Michael Reed
- Department of Mathematics, Duke University, Durham, NC 27708 USA
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