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Komleva YK, Lopatina OL, Gorina YV, Chernykh AI, Trufanova LV, Vais EF, Kharitonova EV, Zhukov EL, Vahtina LY, Medvedeva NN, Salmina AB. Expression of NLRP3 Inflammasomes in Neurogenic Niche Contributes to the Effect of Spatial Learning in Physiological Conditions but Not in Alzheimer's Type Neurodegeneration. Cell Mol Neurobiol 2021; 42:1355-1371. [PMID: 33392919 DOI: 10.1007/s10571-020-01021-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 11/27/2020] [Indexed: 12/27/2022]
Abstract
A common feature of neurodegenerative disorders, in particular Alzheimer's disease (AD), is a chronic neuroinflammation associated with aberrant neuroplasticity. Development of neuroinflammation affects efficacy of stem and progenitor cells proliferation, differentiation, migration, and integration of newborn cells into neural circuitry. However, precise mechanisms of neurogenesis alterations in neuroinflammation are not clear yet. It is well established that expression of NLRP3 inflammasomes in glial cells marks neuroinflammatory events, but less is known about contribution of NLRP3 to deregulation of neurogenesis within neurogenic niches and whether neural stem cells (NSCs), neural progenitor cells (NPCs) or immature neuroblasts may express inflammasomes in (patho)physiological conditions. Thus, we studied alterations of neurogenesis in rats with the AD model (intra-hippocampal injection of Aβ1-42). We found that in Aβ-affected brain, number of CD133+ cells was elevated after spatial training in the Morris water maze. The number of PSA-NCAM+ neuroblasts diminished by Aβ injection was completely restored by subsequent spatial learning. Spatial training leads to elevated expression of NLRP3 inflammasomes in the SGZ (subgranular zones): CD133+ and PSA-NCAM+ cells started to express NLRP3 in sham-operated, but not AD rats. Taken together, our data suggest that expression of NLRP3 inflammasomes in CD133+ and PSA-NCAM+ cells may contribute to stimulation of adult neurogenesis in physiological conditions, whereas Alzheimer's type neurodegeneration abolishes stimuli-induced overexpression of NLRP3 within the SGZ neurogenic niche.
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Affiliation(s)
- Yulia K Komleva
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia. .,Research Institute of Molecular Medicine and Pathobiochemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia.
| | - O L Lopatina
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine and Pathobiochemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Ya V Gorina
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine and Pathobiochemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - A I Chernykh
- Research Institute of Molecular Medicine and Pathobiochemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - L V Trufanova
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - E F Vais
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - E V Kharitonova
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - E L Zhukov
- Department of Pathological Anatomy Named After Prof. P.G. Podzolkov, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - L Yu Vahtina
- Department of Human Anatomy, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - N N Medvedeva
- Department of Human Anatomy, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - A B Salmina
- The Department of Biochemistry, Medical, Pharmaceutical and Toxicological Chemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia.,Research Institute of Molecular Medicine and Pathobiochemistry, Ministry of Health of the Russian Federation, Professor V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
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Reznichenko AV, Chernykh AI, Smirnov SV, Terekhov IS. Log-log growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range: Extension of the model. Phys Rev E 2019; 99:012133. [PMID: 30780253 DOI: 10.1103/physreve.99.012133] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Indexed: 11/07/2022]
Abstract
In our previous paper [Terekhov et al., Phys. Rev. E 95, 062133 (2017)2470-004510.1103/PhysRevE.95.062133] we considered the optical channel modeled by the nonlinear Schrödinger equation with zero dispersion and additive Gaussian noise. We found per-sample channel capacity for this model. In the present paper we extend the per-sample channel model by introducing the initial signal dependence on time and the output signal detection procedure. The proposed model is a closer approximation of the realistic communications link than the per-sample model where there is no dependence of the initial signal on time. For the proposed model we found the correlators of the output signal both analytically and numerically. Using these correlators we built the conditional probability density function. Then we calculated an entropy of the output signal, a conditional entropy, and the mutual information. Maximizing the mutual information we found the optimal input signal distribution, channel capacity, and their dependence on the shape of the initial signal in the time domain for the intermediate power range.
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Affiliation(s)
- A V Reznichenko
- Budker Institute of Nuclear Physics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.,Novosibirsk State University, Novosibirsk 630090, Russia
| | - A I Chernykh
- Novosibirsk State University, Novosibirsk 630090, Russia.,Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - S V Smirnov
- Novosibirsk State University, Novosibirsk 630090, Russia
| | - I S Terekhov
- Budker Institute of Nuclear Physics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.,Novosibirsk State University, Novosibirsk 630090, Russia
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Gorina YV, Komleva YK, Lopatina OL, Volkova VV, Chernykh AI, Shabalova AA, Semenchukov AA, Olovyannikova RY, Salmina AB. [The battery of tests for behavioral phenotyping of aging animals in the experiment]. Adv Gerontol 2017; 30:49-55. [PMID: 28557390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The purpose of the study was to develop a battery of tests to study social and cognitive impairments for behavioral phenotyping of aging experimental animals with physiological neurodegeneration. Object of the study were outbred CD1 mice in the following groups: 1st group - 12-month old male mice (physiological aging); 2nd group - 2-month old male mice (control group). Social recognition test, elevated plus maze test (EPM), open field test, light-dark box test, and Fear conditioning protocol were used to estimate the neurological status of experimental animals. We found that aging male mice in a contrast to young ones have demonstrated lower social interest to female mice in the social recognition task. EPM and light-dark box tests showed increased level of anxiety in the group of aged mice comparing to the control group. Fear conditioning protocol revealed impairment of associative learning and memory in the group of aged mice, particularly, fear memory consolidation was dramatically suppressed. Analysis of behavioral factors, social interactions and anxiety level in the experimental mice has confirmed age-related neurodegeneration in the 1st group. We found that the most informative approach to identifying neurological impairments in aging mice (social interaction deficit, limitation of interests, increased level of anxiety) should be based on the open field test light-dark box test, and Fear conditioning protocol. Such combination allows obtaining new data on behavioral alterations in the age-associated of neurodegeneration and to develop novel therapeutic strategies for the treatment of age-related brain pathology.
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Affiliation(s)
- Ya V Gorina
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
- Research Institute of Molecular Medicine and Pathobiochemistry, Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation;
| | - Yu K Komleva
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
- Research Institute of Molecular Medicine and Pathobiochemistry, Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation;
| | - O L Lopatina
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
- Research Institute of Molecular Medicine and Pathobiochemistry, Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation;
| | - V V Volkova
- Research Institute of Molecular Medicine and Pathobiochemistry, Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation;
| | - A I Chernykh
- I. S. Berzon Krasnoyarsk City Hospital № 20, Krasnoyarsk, 660123, Russian Federation
| | - A A Shabalova
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
| | - A A Semenchukov
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
| | - R Ya Olovyannikova
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
| | - A B Salmina
- Prof. V. F. Voyno-Yasenetskii Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation
- Research Institute of Molecular Medicine and Pathobiochemistry, Prof. V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, 660022, Russian Federation;
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Chernykh AI, Stepanov MG. Large negative velocity gradients in Burgers turbulence. Phys Rev E Stat Nonlin Soft Matter Phys 2001; 64:026306. [PMID: 11497698 DOI: 10.1103/physreve.64.026306] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2000] [Revised: 02/23/2001] [Indexed: 05/23/2023]
Abstract
We consider one-dimensional Burgers equation driven by large-scale white-in-time random force. The tails of the velocity gradients probability distribution function (PDF) are analyzed by saddle point approximation in the path integral describing the velocity statistics. The structure of the saddle-point (instanton), that is, the velocity field configuration realizing the maximum of probability, is studied numerically in details. The numerical results allow us to find analytical solution for the long-time part of the instanton. Its careful analysis confirms the result of Balkovsky et al. [Phys. Rev. Lett. 78, 1452 (1997)] based on short-time estimations that the left tail of PDF has the form ln P(u(x))infinity-/u(x)/(3/2).
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Affiliation(s)
- A I Chernykh
- Institute of Automation and Electrometry, Novosibirsk 630090, Russia.
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