A novel open-access artificial-intelligence-driven platform for CNS drug discovery utilizing adult zebrafish.

Autor: Lukovikov DA; Graduate Program in Bioinformatics and Genomics, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Kolesnikova TO; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Ikrin AN; Graduate Program in Genetics and Genetic Technologies, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Prokhorenko NO; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Shevlyakov AD; Graduate Program in Bioinformatics and Genomics, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Korotaev AA; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia., Yang L; Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Suzhou Key Laboratory of Neurobiology and Cell Signaling, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China., Bley V; Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Biology Program, University of Florida, Gainesville, FL 32610, USA., de Abreu MS; Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil; Western Caspian University, Baku, Azerbaijan. Electronic address: abreu_murilo@hotmail.com., Kalueff AV; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia; Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Suzhou Key Laboratory of Neurobiology and Cell Signaling, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia; Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, St. Petersburg 194021, Russia. Electronic address: avkalueff@gmail.com.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2024 Nov; Vol. 411, pp. 110256. Date of Electronic Publication: 2024 Aug 24.
DOI: 10.1016/j.jneumeth.2024.110256
Abstrakt: Background: Although zebrafish are increasingly utilized in biomedicine for CNS disease modelling and drug discovery, this generates big data necessitating objective, precise and reproducible analyses. The artificial intelligence (AI) applications have empowered automated image recognition and video-tracking to ensure more efficient behavioral testing.
New Method: Capitalizing on several AI tools that most recently became available, here we present a novel open-access AI-driven platform to analyze tracks of adult zebrafish collected from in vivo neuropharmacological experiments. For this, we trained the AI system to distinguish zebrafish behavioral patterns following systemic treatment with several well-studied psychoactive drugs - nicotine, caffeine and ethanol.
Results: Experiment 1 showed the ability of the AI system to distinguish nicotine and caffeine with 75 % and ethanol with 88 % probability and high (81 %) accuracy following a post-training exposure to these drugs. Experiment 2 further validated our system with additional, previously unexposed compounds (cholinergic arecoline and varenicline, and serotonergic fluoxetine), used as positive and negative controls, respectively.
Comparison With Existing Methods: The present study introduces a novel open-access AI-driven approach to analyze locomotor activity of adult zebrafish.
Conclusions: Taken together, these findings support the value of custom-made AI tools for unlocking full potential of zebrafish CNS drug research by monitoring, processing and interpreting the results of in vivo experiments.
Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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