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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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Dunham KE, Venton BJ. Electrochemical and biosensor techniques to monitor neurotransmitter changes with depression. Anal Bioanal Chem 2024; 416:2301-2318. [PMID: 38289354 PMCID: PMC10950978 DOI: 10.1007/s00216-024-05136-9] [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: 11/09/2023] [Revised: 12/29/2023] [Accepted: 01/09/2024] [Indexed: 03/21/2024]
Abstract
Depression is a common mental illness. However, its current treatments, like selective serotonin reuptake inhibitors (SSRIs) and micro-dosing ketamine, are extremely variable between patients and not well understood. Three neurotransmitters: serotonin, histamine, and glutamate, have been proposed to be key mediators of depression. This review focuses on analytical methods to quantify these neurotransmitters to better understand neurological mechanisms of depression and how they are altered during treatment. To quantitatively measure serotonin and histamine, electrochemical techniques such as chronoamperometry and fast-scan cyclic voltammetry (FSCV) have been improved to study how specific molecular targets, like transporters and receptors, change with antidepressants and inflammation. Specifically, these studies show that different SSRIs have unique effects on serotonin reuptake and release. Histamine is normally elevated during stress, and a new inflammation hypothesis of depression links histamine and cytokine release. Electrochemical measurements revealed that stress increases histamine, decreases serotonin, and leads to changes in cytokines, like interleukin-6. Biosensors can also measure non-electroactive neurotransmitters, including glutamate and cytokines. In particular, new genetic sensors have shown how glutamate changes with chronic stress, as well as with ketamine treatment. These techniques have been used to characterize how ketamine changes glutamate and serotonin, and to understand how it is different from SSRIs. This review briefly outlines how these electrochemical techniques work, but primarily highlights how they have been used to understand the mechanisms of depression. Future studies should explore multiplexing techniques and personalized medicine using biomarkers in order to investigate multi-analyte changes to antidepressants.
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Affiliation(s)
- Kelly E Dunham
- Department of Chemistry, University of Virginia, Charlottesville, VA, 22904, USA
| | - B Jill Venton
- Department of Chemistry, University of Virginia, Charlottesville, VA, 22904, USA.
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3
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Buchanan AM, Mena S, Choukari I, Vasa A, Crawford JN, Fadel J, Maxwell N, Reagan L, Cruikshank A, Best J, Nijhout HF, Reed M, Hashemi P. Serotonin as a biomarker of toxin-induced Parkinsonism. Mol Med 2024; 30:33. [PMID: 38429661 PMCID: PMC10908133 DOI: 10.1186/s10020-023-00773-9] [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: 04/07/2023] [Accepted: 12/18/2023] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Loss of dopaminergic neurons underlies the motor symptoms of Parkinson's disease (PD). However stereotypical PD symptoms only manifest after approximately 80% of dopamine neurons have died making dopamine-related motor phenotypes unreliable markers of the earlier stages of the disease. There are other non-motor symptoms, such as depression, that may present decades before motor symptoms. METHODS Because serotonin is implicated in depression, here we use niche, fast electrochemistry paired with mathematical modelling and machine learning to, for the first time, robustly evaluate serotonin neurochemistry in vivo in real time in a toxicological model of Parkinsonism, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). RESULTS Mice treated with acute MPTP had lower concentrations of in vivo, evoked and ambient serotonin in the hippocampus, consistent with the clinical comorbidity of depression with PD. These mice did not chemically respond to SSRI, as strongly as control animals did, following the clinical literature showing that antidepressant success during PD is highly variable. Following L-DOPA administration, using a novel machine learning analysis tool, we observed a dynamic shift from evoked serotonin release in the hippocampus to dopamine release. We hypothesize that this finding shows, in real time, that serotonergic neurons uptake L-DOPA and produce dopamine at the expense of serotonin, supporting the significant clinical correlation between L-DOPA and depression. Finally, we found that this post L-DOPA dopamine release was less regulated, staying in the synapse for longer. This finding is perhaps due to lack of autoreceptor control and may provide a ground from which to study L-DOPA induced dyskinesia. CONCLUSIONS These results validate key prior hypotheses about the roles of serotonin during PD and open an avenue to study to potentially improve therapeutics for levodopa-induced dyskinesia and depression.
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Affiliation(s)
- Anna Marie Buchanan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
- Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, SC, 29209, USA
| | - Sergio Mena
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Iman Choukari
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Aditya Vasa
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
| | - Jesseca N Crawford
- Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, SC, 29209, USA
| | - Jim Fadel
- Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, SC, 29209, USA
| | - Nick Maxwell
- Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, SC, 29209, USA
| | - Lawrence Reagan
- Department of Pharmacology, Physiology, & Neuroscience, University of South Carolina SOM, Columbia, SC, 29209, USA
- Columbia VA Health Care System, Columbia, SC, 29208, USA
| | | | - Janet Best
- Department of Mathematics, The Ohio State University, Columbus, OH, USA
| | | | - Michael Reed
- Department of Mathematics, Duke University, Durham, NC, USA
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA.
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
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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; 24:2080. [PMID: 36768403 PMCID: PMC9916942 DOI: 10.3390/ijms24032080] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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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Affiliation(s)
| | | | - Sara R. Jones
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Medical Center Blvd, Winston Salem, NC 27157, USA
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Berger SN, Baumberger B, Samaranayake S, Hersey M, Mena S, Bain I, Duncan W, Reed MC, Nijhout HF, Best J, Hashemi P. An In Vivo Definition of Brain Histamine Dynamics Reveals Critical Neuromodulatory Roles for This Elusive Messenger. Int J Mol Sci 2022; 23:14862. [PMID: 36499189 PMCID: PMC9738190 DOI: 10.3390/ijms232314862] [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: 10/06/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 12/05/2022] Open
Abstract
Histamine is well known for mediating peripheral inflammation; however, this amine is also found in high concentrations in the brain where its roles are much less known. In vivo chemical dynamics are difficult to measure, thus fundamental aspects of histamine's neurochemistry remain undefined. In this work, we undertake the first in-depth characterization of real time in vivo histamine dynamics using fast electrochemical tools. We find that histamine release is sensitive to pharmacological manipulation at the level of synthesis, packaging, autoreceptors and metabolism. We find two breakthrough aspects of histamine modulation. First, differences in H3 receptor regulation between sexes show that histamine release in female mice is much more tightly regulated than in male mice under H3 or inflammatory drug challenge. We hypothesize that this finding may contribute to hormone-mediated neuroprotection mechanisms in female mice. Second, a high dose of a commonly available antihistamine, the H1 receptor inverse agonist diphenhydramine, rapidly decreases serotonin levels. This finding highlights the sheer significance of pharmaceuticals on neuromodulation. Our study opens the path to better understanding and treating histamine related disorders of the brain (such as neuroinflammation), emphasizing that sex and modulation (of serotonin) are critical factors to consider when studying/designing new histamine targeting therapeutics.
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Affiliation(s)
- Shane N. Berger
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
| | | | - Srimal Samaranayake
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
| | - Melinda Hersey
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
- Department of Physiology, Pharmacology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29209, USA
| | - Sergio Mena
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK
| | - Ian Bain
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
| | - William Duncan
- Department of Mathematics, Montana State University, Bozeman, MT 59717, USA
| | - Michael C. Reed
- Department of Mathematics, Duke University, Durham, NC 27710, USA
| | | | - Janet Best
- Department of Mathematics, Ohio State University, Columbus, OH 43210, USA
| | - Parastoo Hashemi
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
- Department of Bioengineering, Imperial College London, London SW7 2AZ, UK
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6
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Pyurveev SS, Sizov VV, Lebedev AA, Bychkov ER, Mukhin VN, Droblenkov AV, Shabanov PD. Registration of Changes in the Level of Extracellular Dopamine in the Nucleus Accumbens by Fast-Scan Cyclic Voltammetry during Stimulation of the Zone of the Ventral Tegmentаl Area, Which Also Caused a Self-Stimulation. J EVOL BIOCHEM PHYS+ 2022. [DOI: 10.1134/s0022093022050295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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7
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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] [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
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8
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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: 15] [Impact Index Per Article: 7.5] [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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9
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Aiyer K, Doyle LE. Capturing the signal of weak electricigens: a worthy endeavour. Trends Biotechnol 2021; 40:564-575. [PMID: 34696916 DOI: 10.1016/j.tibtech.2021.10.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 12/15/2022]
Abstract
Recently several non-traditional electroactive microorganisms have been discovered. These can be considered weak electricigens; microorganisms that typically rely on soluble electron acceptors and donors in their lifecycle but are also capable of extracellular electron transfer (EET), resulting in either a low, unreliable, or otherwise unexpected current. These unanticipated electroactive microorganisms represent a new chapter in electromicrobiology and have important medical, environmental, and biotechnological relevance. As such, it is essential to continue the momentum of their discovery. However, their study poses unique challenges due to their low current output. Capturing their signal necessitates novel approaches including unconventional electrode choice, the use of sensitive electrochemical techniques, and modifications of conventional experiments that use bioelectrochemical systems (BES).
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Affiliation(s)
- Kartik Aiyer
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, G5WV+9H9, Hauz Khas, New Delhi, Delhi 110016, India
| | - Lucinda E Doyle
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, G5WV+9H9, Hauz Khas, New Delhi, Delhi 110016, India.
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Minteer SD. ACS Measurement Science Au: The First Issue Exemplifies Diversity of Scope and Excellence in Measurement Science Research. ACS MEASUREMENT SCIENCE AU 2021; 1:1-2. [PMID: 36785733 PMCID: PMC9836068 DOI: 10.1021/acsmeasuresciau.1c00022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
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