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Filippova TA, Masamrekh RA, Khudoklinova YY, Shumyantseva VV, Kuzikov AV. The multifaceted role of proteases and modern analytical methods for investigation of their catalytic activity. Biochimie 2024; 222:169-194. [PMID: 38494106 DOI: 10.1016/j.biochi.2024.03.006] [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: 09/25/2023] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
We discuss the diverse functions of proteases in the context of their biotechnological and medical significance, as well as analytical approaches used to determine the functional activity of these enzymes. An insight into modern approaches to studying the kinetics and specificity of proteases, based on spectral (absorption, fluorescence), mass spectrometric, immunological, calorimetric, and electrochemical methods of analysis is given. We also examine in detail electrochemical systems for determining the activity and specificity of proteases. Particular attention is given to exploring innovative electrochemical systems based on the detection of the electrochemical oxidation signal of amino acid residues, thereby eliminating the need for extra redox labels in the process of peptide synthesis. In the review, we highlight the main prospects for the further development of electrochemical systems for the study of biotechnologically and medically significant proteases, which will enable the miniaturization of the analytical process for determining the catalytic activity of these enzymes.
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Affiliation(s)
- Tatiana A Filippova
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Rami A Masamrekh
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Yulia Yu Khudoklinova
- Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Victoria V Shumyantseva
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Alexey V Kuzikov
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia.
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Paveliev M, Egorchev AA, Musin F, Lipachev N, Melnikova A, Gimadutdinov RM, Kashipov AR, Molotkov D, Chickrin DE, Aganov AV. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. Int J Mol Sci 2024; 25:4227. [PMID: 38673819 PMCID: PMC11049984 DOI: 10.3390/ijms25084227] [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: 02/02/2024] [Revised: 03/31/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic conditions, and some other brain disorders. The functional role of the PNN microstructure in brain pathologies has remained largely unstudied until recently. Here, we review recent research implicating PNN microstructural changes in schizophrenia and other disorders. We further concentrate on high-resolution studies of the PNN mesh units surrounding synaptic boutons to elucidate fine structural details behind the mutual functional regulation between the ECM and the synaptic terminal. We also review some updates regarding PNN as a potential pharmacological target. Artificial intelligence (AI)-based methods are now arriving as a new tool that may have the potential to grasp the brain's complexity through a wide range of organization levels-from synaptic molecular events to large scale tissue rearrangements and the whole-brain connectome function. This scope matches exactly the complex role of PNN in brain physiology and pathology processes, and the first AI-assisted PNN microscopy studies have been reported. To that end, we report here on a machine learning-assisted tool for PNN mesh contour tracing.
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Affiliation(s)
- Mikhail Paveliev
- Neuroscience Center, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Anton A. Egorchev
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Foat Musin
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Nikita Lipachev
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
| | - Anastasiia Melnikova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Karl Marx 74, Kazan 420015, Tatarstan, Russia;
| | - Rustem M. Gimadutdinov
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Aidar R. Kashipov
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Dmitry Molotkov
- Biomedicum Imaging Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland;
| | - Dmitry E. Chickrin
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Albert V. Aganov
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
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Huang WY, Hashimoto N, Kitai R, Suye SI, Fujita S. Nanofiber-Mâché Hollow Ball Mimicking the Three-Dimensional Structure of a Cyst. Polymers (Basel) 2021; 13:2273. [PMID: 34301031 PMCID: PMC8309222 DOI: 10.3390/polym13142273] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 02/07/2023] Open
Abstract
The occasional malignant transformation of intracranial epidermoid cysts into squamous cell carcinomas remains poorly understood; the development of an in vitro cyst model is urgently needed. For this purpose, we designed a hollow nanofiber sphere, the "nanofiber-mâché ball." This hollow structure was fabricated by electrospinning nanofiber onto alginate hydrogel beads followed by dissolving the beads. A ball with approximately 230 mm3 inner volume provided a fibrous geometry mimicking the topography of the extracellular matrix. Two ducts located on opposite sides provided a route to exchange nutrients and waste. This resulted in a concentration gradient that induced oriented migration, in which seeded cells adhered randomly to the inner surface, formed a highly oriented structure, and then secreted a dense web of collagen fibrils. Circumferentially aligned fibers on the internal interface between the duct and hollow ball inhibited cells from migrating out of the interior, similar to a fish bottle trap. This structure helped to form an adepithelial layer on the inner surface. The novel nanofiber-mâché technique, using a millimeter-sized hollow fibrous scaffold, is excellently suited to investigating cyst physiology.
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Affiliation(s)
- Wan-Ying Huang
- Department of Advanced Interdisciplinary Science and Technology, Graduate School of Engineering, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan; (W.-Y.H.); (S.-i.S.)
| | - Norichika Hashimoto
- Department of Neurosurgery, Fukui Health Sciences University, 55-13-1 Egami, Fukui-shi 910-3190, Japan;
| | - Ryuhei Kitai
- Department of Neurosurgery, Kaga Medical Center, Ri 36 Sakumi, Kaga-shi 922-8522, Japan;
| | - Shin-ichiro Suye
- Department of Advanced Interdisciplinary Science and Technology, Graduate School of Engineering, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan; (W.-Y.H.); (S.-i.S.)
- Department of Frontier Fiber Technology and Science, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan
- Organization for Life Science Advancement Programs, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan
| | - Satoshi Fujita
- Department of Advanced Interdisciplinary Science and Technology, Graduate School of Engineering, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan; (W.-Y.H.); (S.-i.S.)
- Department of Frontier Fiber Technology and Science, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan
- Organization for Life Science Advancement Programs, University of Fukui, 3-9-1 Bukyo, Fukui-shi 910-8507, Japan
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Lazarevich I, Stasenko S, Rozhnova M, Pankratova E, Dityatev A, Kazantsev V. Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS One 2020; 15:e0227917. [PMID: 31978183 PMCID: PMC6980407 DOI: 10.1371/journal.pone.0227917] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 01/02/2020] [Indexed: 01/22/2023] Open
Abstract
Experimental studies highlight the important role of the extracellular matrix (ECM) in the regulation of neuronal excitability and synaptic connectivity in the nervous system. In its turn, the neural ECM is formed in an activity-dependent manner. Its maturation closes the so-called critical period of neural development, stabilizing the efficient configurations of neural networks in the brain. ECM is locally remodeled by proteases secreted and activated in an activity-dependent manner into the extracellular space and this process is important for physiological synaptic plasticity. We ask if ECM remodeling may be exaggerated under pathological conditions and enable activity-dependent switches between different regimes of ECM expression. We consider an analytical model based on known mechanisms of interaction between neuronal activity and expression of ECM, ECM receptors and ECM degrading proteases. We demonstrate that either inhibitory or excitatory influence of ECM on neuronal activity may lead to the bistability of ECM expression, so two stable stationary states are observed. Noteworthy, only in the case when ECM has predominant inhibitory influence on neurons, the bistability is dependent on the activity of proteases. Excitatory ECM-neuron feedback influences may also result in spontaneous oscillations of ECM expression, which may coexist with a stable stationary state. Thus, ECM-neuronal interactions support switches between distinct dynamic regimes of ECM expression, possibly representing transitions into disease states associated with remodeling of brain ECM.
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Affiliation(s)
- Ivan Lazarevich
- Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia
- École Normale Supérieure, Paris Sciences et Lettres University, Laboratoire de Neurosciences Cognitives, Group for Neural Theory, Paris, France
- * E-mail: (IL); (SS)
| | - Sergey Stasenko
- Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia
- * E-mail: (IL); (SS)
| | - Maiya Rozhnova
- Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia
| | | | - Alexander Dityatev
- Molecular Neuroplasticity Group, German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Victor Kazantsev
- Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia
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