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Myrov VO, Polovian AI, Kolchanova S, Galumov GK, Schiöth HB, Bozhko DV. Artificial Neural Network (ANN)-Based Pattern Recognition Approach Illustrates a Biphasic Behavioral Effect of Ethanol in Zebrafish: A High-Throughput Method for Animal Locomotor Analysis. Biomedicines 2023; 11:3215. [PMID: 38137436 PMCID: PMC10740670 DOI: 10.3390/biomedicines11123215] [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: 09/04/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023] Open
Abstract
Variations in stress responses between individuals are linked to factors ranging from stress coping styles to the sensitivity of neurotransmitter systems. Many anxiolytic compounds can increase stressor engagement through the modulation of neurotransmitter systems and are used to investigate stress response mechanisms. The effect of such modulation may vary in time depending on concentration or environment, but those effects are hard to dissect because of the slow transition. We investigated the temporal effect of ethanol and found that ethanol-treated individual zebrafish larvae showed altered behavior that is different between drug concentrations and decreases with time. We used an artificial neural network approach with a time-dependent method for analyzing long (90 min) experiments on zebrafish larvae and found that individuals from the 0.5% group begin to show locomotor activity corresponding to the control group starting from the 60th minute. The locomotor activity of individuals from the 2% group after the 80th minute is classified as the activity of individuals from the 1.5% group. Our method shows three clusters of different concentrations in comparison with two clusters, which were obtained with the usage of a statistical approach for analyzing just the speed of fish movements. In addition, we show that such changes are not explained by basic behavior statistics such as speed and are caused by shifts in locomotion patterns.
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Affiliation(s)
| | - Aleksandr I. Polovian
- ZebraML, Inc., Houston, TX 77043, USA
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Uppsala University, 751 24 Uppsala, Sweden;
| | | | | | - Helgi B. Schiöth
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Uppsala University, 751 24 Uppsala, Sweden;
| | - Dmitrii V. Bozhko
- ZebraML, Inc., Houston, TX 77043, USA
- Department of Surgical Sciences, Division of Functional Pharmacology and Neuroscience, Uppsala University, 751 24 Uppsala, Sweden;
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Fan YL, Hsu FR, Wang Y, Liao LD. Unlocking the Potential of Zebrafish Research with Artificial Intelligence: Advancements in Tracking, Processing, and Visualization. Med Biol Eng Comput 2023; 61:2797-2814. [PMID: 37558927 DOI: 10.1007/s11517-023-02903-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/01/2023] [Indexed: 08/11/2023]
Abstract
Zebrafish have become a widely accepted model organism for biomedical research due to their strong cortisol stress response, behavioral strain differences, and sensitivity to both drug treatments and predators. However, experimental zebrafish studies generate substantial data that must be analyzed through objective, accurate, and repeatable analysis methods. Recently, advancements in artificial intelligence (AI) have enabled automated tracking, image recognition, and data analysis, leading to more efficient and insightful investigations. In this review, we examine key AI applications in zebrafish research, including behavior analysis, genomics, and neuroscience. With the development of deep learning technology, AI algorithms have been used to precisely analyze and identify images of zebrafish, enabling automated testing and analysis. By applying AI algorithms in genomics research, researchers have elucidated the relationship between genes and biology, providing a better basis for the development of disease treatments and gene therapies. Additionally, the development of more effective neuroscience tools could help researchers better understand the complex neural networks in the zebrafish brain. In the future, further advancements in AI technology are expected to enable more extensive and in-depth medical research applications in zebrafish, improving our understanding of this important animal model. This review highlights the potential of AI technology in achieving the full potential of zebrafish research by enabling researchers to efficiently track, process, and visualize the outcomes of their experiments.
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Affiliation(s)
- Yi-Ling Fan
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, 35, Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan
- Department of Information Engineering and Computer Science, Feng Chia University, Taichung, 407, Taiwan
| | - Fang-Rong Hsu
- Department of Information Engineering and Computer Science, Feng Chia University, Taichung, 407, Taiwan
| | - Yuhling Wang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, 35, Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan
- Department of Electrical Engineering, National United University, 2, Lien-Da, Nan-Shih Li, Miaoli, 360302, Taiwan
| | - Lun-De Liao
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, 35, Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan.
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3
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Zabegalov KN, Costa F, Viktorova YA, Maslov GO, Kolesnikova TO, Gerasimova EV, Grinevich VP, Budygin EA, Kalueff AV. Behavioral profile of adult zebrafish acutely exposed to a selective dopamine uptake inhibitor, GBR 12909. J Psychopharmacol 2023:2698811231166463. [PMID: 37125702 DOI: 10.1177/02698811231166463] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
BACKGROUND The dopamine transporter (DAT) is the main regulator of dopamine concentration in the extrasynaptic space. The pharmacological inhibition of the DAT results in a wide spectrum of behavioral manifestations, which have been identified so far in a limited number of species, mostly in rodents. AIM Here, we used another well-recognized model organism, the zebrafish (Danio rerio), to explore the behavioral effects of GBR 12909, a highly-affine selective DAT blocker. METHODS We evaluated zebrafish locomotion, novelty-related exploration, spatial cognition, and social phenotypes in the novel tank, habituation and shoaling tests, following acute 20-min water immersion in GBR 12909. RESULTS Our findings show hypolocomotion, anxiety-like state, and impaired spatial cognition in fish acutely treated with GBR 12909. This behavioral profile generally parallels that of the DAT knockout rodents and zebrafish, and it overlaps with behavioral effects of other DAT-inhibiting drugs of abuse, such as cocaine and D-amphetamine. CONCLUSION Collectively, our data support the utility of zebrafish in translational studies on DAT targeting neuropharmacology and strongly implicate DAT aberration as an important mechanisms involved in neurological and psychiatric diseases.
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Affiliation(s)
- Konstantin N Zabegalov
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Fabiano Costa
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Yuliya A Viktorova
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Gleb O Maslov
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
- Ural Federal University, Yekaterinburg, Sverdlovsk Region, Russia
| | - Tatiana O Kolesnikova
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Elena V Gerasimova
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Vladimir P Grinevich
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Evgeny A Budygin
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
| | - Allan V Kalueff
- Department of Neurobiology, Sirius University of Science and Technology, Sirius Federal Territory, Russia
- Ural Federal University, Yekaterinburg, Sverdlovsk Region, Russia
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4
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Current State of Modeling Human Psychiatric Disorders Using Zebrafish. Int J Mol Sci 2023; 24:ijms24043187. [PMID: 36834599 PMCID: PMC9959486 DOI: 10.3390/ijms24043187] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/17/2023] [Accepted: 02/01/2023] [Indexed: 02/08/2023] Open
Abstract
Psychiatric disorders are highly prevalent brain pathologies that represent an urgent, unmet biomedical problem. Since reliable clinical diagnoses are essential for the treatment of psychiatric disorders, their animal models with robust, relevant behavioral and physiological endpoints become necessary. Zebrafish (Danio rerio) display well-defined, complex behaviors in major neurobehavioral domains which are evolutionarily conserved and strikingly parallel to those seen in rodents and humans. Although zebrafish are increasingly often used to model psychiatric disorders, there are also multiple challenges with such models as well. The field may therefore benefit from a balanced, disease-oriented discussion that considers the clinical prevalence, the pathological complexity, and societal importance of the disorders in question, and the extent of its detalization in zebrafish central nervous system (CNS) studies. Here, we critically discuss the use of zebrafish for modeling human psychiatric disorders in general, and highlight the topics for further in-depth consideration, in order to foster and (re)focus translational biological neuroscience research utilizing zebrafish. Recent developments in molecular biology research utilizing this model species have also been summarized here, collectively calling for a wider use of zebrafish in translational CNS disease modeling.
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Developing Novel Experimental Models of m-TORopathic Epilepsy and Related Neuropathologies: Translational Insights from Zebrafish. Int J Mol Sci 2023; 24:ijms24021530. [PMID: 36675042 PMCID: PMC9866103 DOI: 10.3390/ijms24021530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/15/2023] Open
Abstract
The mammalian target of rapamycin (mTOR) is an important molecular regulator of cell growth and proliferation. Brain mTOR activity plays a crucial role in synaptic plasticity, cell development, migration and proliferation, as well as memory storage, protein synthesis, autophagy, ion channel expression and axonal regeneration. Aberrant mTOR signaling causes a diverse group of neurological disorders, termed 'mTORopathies'. Typically arising from mutations within the mTOR signaling pathway, these disorders are characterized by cortical malformations and other neuromorphological abnormalities that usually co-occur with severe, often treatment-resistant, epilepsy. Here, we discuss recent advances and current challenges in developing experimental models of mTOR-dependent epilepsy and other related mTORopathies, including using zebrafish models for studying these disorders, as well as outline future directions of research in this field.
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Kolesnikova TO, Demin KA, Costa FV, Zabegalov KN, de Abreu MS, Gerasimova EV, Kalueff AV. Towards Zebrafish Models of CNS Channelopathies. Int J Mol Sci 2022; 23:ijms232213979. [PMID: 36430455 PMCID: PMC9693542 DOI: 10.3390/ijms232213979] [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: 09/14/2022] [Revised: 11/06/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Channelopathies are a large group of systemic disorders whose pathogenesis is associated with dysfunctional ion channels. Aberrant transmembrane transport of K+, Na+, Ca2+ and Cl- by these channels in the brain induces central nervous system (CNS) channelopathies, most commonly including epilepsy, but also migraine, as well as various movement and psychiatric disorders. Animal models are a useful tool for studying pathogenesis of a wide range of brain disorders, including channelopathies. Complementing multiple well-established rodent models, the zebrafish (Danio rerio) has become a popular translational model organism for neurobiology, psychopharmacology and toxicology research, and for probing mechanisms underlying CNS pathogenesis. Here, we discuss current prospects and challenges of developing genetic, pharmacological and other experimental models of major CNS channelopathies based on zebrafish.
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Affiliation(s)
| | - Konstantin A. Demin
- Institute of Translational Biomedicine, St. Petersburg State University, 199034 St. Petersburg, Russia
- Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, 197341 St. Petersburg, Russia
| | - Fabiano V. Costa
- Neurobiology Program, Sirius University of Science and Technology, 354349 Sochi, Russia
| | | | - Murilo S. de Abreu
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
- Correspondence: (M.S.d.A.); (A.V.K.); Tel.: +55-54-99605-9807 (M.S.d.A.); +1-240-899-9571 (A.V.K.); Fax: +1-240-899-9571 (A.V.K.)
| | - Elena V. Gerasimova
- Neurobiology Program, Sirius University of Science and Technology, 354349 Sochi, Russia
| | - Allan V. Kalueff
- Neurobiology Program, Sirius University of Science and Technology, 354349 Sochi, Russia
- Institute of Translational Biomedicine, St. Petersburg State University, 199034 St. Petersburg, Russia
- Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, 197341 St. Petersburg, Russia
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
- Laboratory of Preclinical Bioscreening, Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, 197758 St. Petersburg, Russia
- Ural Federal University, 620002 Yekaterinburg, Russia
- Scientific Research Institute of Neurosciences and Medicine, 630117 Novosibirsk, Russia
- Correspondence: (M.S.d.A.); (A.V.K.); Tel.: +55-54-99605-9807 (M.S.d.A.); +1-240-899-9571 (A.V.K.); Fax: +1-240-899-9571 (A.V.K.)
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Demin KA, Kupriyanova OV, Shevyrin VA, Derzhavina KA, Krotova NA, Ilyin NP, Kolesnikova TO, Galstyan DS, Kositsyn YM, Khaybaev AAS, Seredinskaya MV, Dubrovskii Y, Sadykova RG, Nerush MO, Mor MS, Petersen EV, Strekalova T, Efimova EV, Kuvarzin SR, Yenkoyan KB, Bozhko DV, Myrov VO, Kolchanova SM, Polovian AI, Galumov GK, Kalueff AV. Acute behavioral and Neurochemical Effects of Novel N-Benzyl-2-Phenylethylamine Derivatives in Adult Zebrafish. ACS Chem Neurosci 2022; 13:1902-1922. [PMID: 35671176 DOI: 10.1021/acschemneuro.2c00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Hallucinogenic drugs potently affect brain and behavior and have also recently emerged as potentially promising agents in pharmacotherapy. Complementing laboratory rodents, the zebrafish (Danio rerio) is a powerful animal model organism for screening neuroactive drugs, including hallucinogens. Here, we test a battery of ten novel N-benzyl-2-phenylethylamine (NBPEA) derivatives with the 2,4- and 3,4-dimethoxy substitutions in the phenethylamine moiety and the -OCH3, -OCF3, -F, -Cl, and -Br substitutions in the ortho position of the phenyl ring of the N-benzyl moiety, assessing their acute behavioral and neurochemical effects in the adult zebrafish. Overall, substitutions in the Overall, substitutions in the N-benzyl moiety modulate locomotion, and substitutions in the phenethylamine moiety alter zebrafish anxiety-like behavior, also affecting the brain serotonin and/or dopamine turnover. The 24H-NBOMe(F) and 34H-NBOMe(F) treatment also reduced zebrafish despair-like behavior. Computational analyses of zebrafish behavioral data by artificial intelligence identified several distinct clusters for these agents, including anxiogenic/hypolocomotor (24H-NBF, 24H-NBOMe, and 34H-NBF), behaviorally inert (34H-NBBr, 34H-NBCl, and 34H-NBOMe), anxiogenic/hallucinogenic-like (24H-NBBr, 24H-NBCl, and 24H-NBOMe(F)), and anxiolytic/hallucinogenic-like (34H-NBOMe(F)) drugs. Our computational analyses also revealed phenotypic similarity of the behavioral activity of some NBPEAs to that of selected conventional serotonergic and antiglutamatergic hallucinogens. In silico functional molecular activity modeling further supported the overlap of the drug targets for NBPEAs tested here and the conventional serotonergic and antiglutamatergic hallucinogens. Overall, these findings suggest potent neuroactive properties of several novel synthetic NBPEAs, detected in a sensitive in vivo vertebrate model system, the zebrafish, raising the possibility of their potential clinical use and abuse.
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Affiliation(s)
- Konstantin A Demin
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Almazov National Medical Research Centre, St. Petersburg 197341, Russia
| | - Olga V Kupriyanova
- Institute of Fundamental Medicine and Biology, Kazan Volga Region Federal University, Kazan 420008, Russia.,Kazan State Medical University, Kazan 420012, Russia
| | - Vadim A Shevyrin
- Institute of Chemistry and Technology, Ural Federal University, 19 Mira Str., Ekaterinburg 620002, Russia
| | - Ksenia A Derzhavina
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Almazov National Medical Research Centre, St. Petersburg 197341, Russia
| | - Nataliya A Krotova
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Almazov National Medical Research Centre, St. Petersburg 197341, Russia
| | - Nikita P Ilyin
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Almazov National Medical Research Centre, St. Petersburg 197341, Russia
| | - Tatiana O Kolesnikova
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Neurobiology Program, Sirius University of Science and Technology, Sochi 354340, Russia
| | - David S Galstyan
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Laboratory of Preclinical Bioscreening, Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny 197758, Russia
| | - Yurii M Kositsyn
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | | | - Maria V Seredinskaya
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Yaroslav Dubrovskii
- Almazov National Medical Research Centre, St. Petersburg 197341, Russia.,Institute of Chemistry, St. Petersburg State University, St. Petersburg 199034, Russia.,St. Petersburg State Chemical Pharmaceutical University, St. Petersburg 197022, Russia
| | | | - Maria O Nerush
- Almazov National Medical Research Centre, St. Petersburg 197341, Russia
| | - Mikael S Mor
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Elena V Petersen
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | | | - Evgeniya V Efimova
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Savelii R Kuvarzin
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Konstantin B Yenkoyan
- Neuroscience Laboratory, COBRAIN Center, M. Heratsi Yerevan State Medical University, Yerevan AM 0025, Armenia.,COBRAIN Scientific Educational Center for Fundamental Brain Research, Yerevan AM 0025, Armenia
| | | | | | | | | | | | - Allan V Kalueff
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia.,Almazov National Medical Research Centre, St. Petersburg 197341, Russia.,Ural Federal University, Ekaterinburg 620075, Russia.,Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny 197758, Russia.,Moscow Institute of Physics and Technology, Moscow 141701, Russia.,COBRAIN Scientific Educational Center for Fundamental Brain Research, Yerevan AM 0025, Armenia.,Scientific Research Institute of Neuroscience and Medicine, Novosibirsk, 630117, Russia
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MPTP-Treated Zebrafish Recapitulate ‘Late-Stage’ Parkinson’s-like Cognitive Decline. TOXICS 2022; 10:toxics10020069. [PMID: 35202255 PMCID: PMC8879925 DOI: 10.3390/toxics10020069] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 11/25/2022]
Abstract
The zebrafish is a promising model species in biomedical research, including neurotoxicology and neuroactive drug screening. 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) evokes degeneration of dopaminergic neurons and is commonly used to model Parkinson’s disease (PD) in laboratory animals, including zebrafish. However, cognitive phenotypes in MPTP-evoked experimental PD models remain poorly understood. Here, we established an LD50 (292 mg/kg) for intraperitoneal MPTP administration in adult zebrafish, and report impaired spatial working memory (poorer spontaneous alternation in the Y-maze) in a PD model utilizing fish treated with 200 µg of this agent. In addition to conventional behavioral analyses, we also employed artificial intelligence (AI)-based approaches to independently and without bias characterize MPTP effects on zebrafish behavior during the Y-maze test. These analyses yielded a distinct cluster for 200-μg MPTP (vs. other) groups, suggesting that high-dose MPTP produced distinct, computationally detectable patterns of zebrafish swimming. Collectively, these findings support MPTP treatment in adult zebrafish as a late-stage experimental PD model with overt cognitive phenotypes.
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