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Gerson J, Erdal MK, McDonough MH, Ploense KL, Dauphin-Ducharme P, Honeywell KM, Leung KK, Arroyo-Curras N, Gibson JM, Emmons NA, Meiring W, Hespanha JP, Plaxco KW, Kippin TE. High-precision monitoring of and feedback control over drug concentrations in the brains of freely moving rats. SCIENCE ADVANCES 2023; 9:eadg3254. [PMID: 37196087 PMCID: PMC10191434 DOI: 10.1126/sciadv.adg3254] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/12/2023] [Indexed: 05/19/2023]
Abstract
Knowledge of drug concentrations in the brains of behaving subjects remains constrained on a number of dimensions, including poor temporal resolution and lack of real-time data. Here, however, we demonstrate the ability of electrochemical aptamer-based sensors to support seconds-resolved, real-time measurements of drug concentrations in the brains of freely moving rats. Specifically, using such sensors, we achieve <4 μM limits of detection and 10-s resolution in the measurement of procaine in the brains of freely moving rats, permitting the determination of the pharmacokinetics and concentration-behavior relations of the drug with high precision for individual subjects. In parallel, we have used closed-loop feedback-controlled drug delivery to hold intracranial procaine levels constant (±10%) for >1.5 hours. These results demonstrate the utility of such sensors in (i) the determination of the site-specific, seconds-resolved neuropharmacokinetics, (ii) enabling the study of individual subject neuropharmacokinetics and concentration-response relations, and (iii) performing high-precision control over intracranial drug levels.
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Affiliation(s)
- Julian Gerson
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA 93106, USA
| | - Murat Kaan Erdal
- Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA
| | - Matthew H. McDonough
- Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106, USA
| | - Kyle L. Ploense
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | | | - Kevin M. Honeywell
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Kaylyn K. Leung
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | - Netzahualcoyotl Arroyo-Curras
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jenny M. Gibson
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Nicole A. Emmons
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Wendy Meiring
- Department of Statistics and Applied Probability, University of California, Santa Barbara, CA 93106, USA
| | - Joao P. Hespanha
- Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA
| | - Kevin W. Plaxco
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA 93106, USA
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA
| | - Tod E. Kippin
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
- Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
- Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA 93106, USA
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Serra PA, Arrigo P, Bacciu A, Zuncheddu D, Deliperi R, Antón Viana D, Monti P, Varoni MV, Sotgiu MA, Bandiera P, Rocchitta G. Real-time telemetry monitoring of oxygen in the central complex of freely-walking Gromphadorhina portentosa. PLoS One 2019; 14:e0224932. [PMID: 31710629 PMCID: PMC6844484 DOI: 10.1371/journal.pone.0224932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 10/24/2019] [Indexed: 11/21/2022] Open
Abstract
A new telemetric system for the electrochemical monitoring of dissolved oxygen is showed. The device, connected with two amperometric sensors, has been successfully applied to the wireless detection of the extracellular oxygen in the central complex of freely-walking Gromphadorhina portentosa. The unit was composed of a potentiostat, a two-channel sensor conditioning circuit, a microprocessor module, and a wireless serial transceiver. The amperometric signals were digitalized and sent to a notebook using a 2.4 GHz transceiver while a serial-to-USB converter was connected to a second transceiver for completing the communication bridge. The software, running on the laptop, allowed to save and graph the oxygen signals. The electronics showed excellent stability and the acquired data was linear in a range comprised between 0 and -165 nA, covering the entire range of oxygen concentrations. A series of experiments were performed to explore the dynamics of dissolved oxygen by exposing the animals to different gases (nitrogen, oxygen and carbon dioxide), to low temperature and anesthetic agents (chloroform and triethylamine). The resulting data are in agreement with previous O2 changes recorded in the brain of awake rats and mice. The proposed system, based on simple and inexpensive components, can constitute a new experimental model for the exploration of central complex neurochemistry and it can also work with oxidizing sensors and amperometric biosensors.
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Affiliation(s)
- Pier Andrea Serra
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
- Institute of Sciences of Food Production, Italian National Research Council, Sassari, Italy
- Mediterranean Center for Disease Control, University of Sassari, Sassari, Italy
- * E-mail:
| | - Paola Arrigo
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Andrea Bacciu
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Daniele Zuncheddu
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Riccardo Deliperi
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Diego Antón Viana
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Patrizia Monti
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
| | - Maria Vittoria Varoni
- Department of Veterinary Medicine, Medical School, University of Sassari, Sassari, Italy
| | | | - Pasquale Bandiera
- Department of Biomedical Sciences, Medical School, University of Sassari, Sassari, Italy
| | - Gaia Rocchitta
- Department of Medical, Surgical and Experimental Medicine, Medical School, University of Sassari, Sassari, Italy
- Mediterranean Center for Disease Control, University of Sassari, Sassari, Italy
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