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Davydova YD, Kazantseva AV, Khusnutdinova EK. [A perspective on the application of CRISPR/CAS9 genome editing system to study of molecular-genetic basis of mental disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:27-33. [PMID: 38529860 DOI: 10.17116/jnevro202412403127] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Schizophrenia, depression, bipolar disorder and autism spectrum disorders are common mental disorders that are among the leading causes of disability worldwide. The major complication to effective therapies for mental disorders is the poor understanding of their pathogenic mechanisms. Currently, an increasing number of research groups are focusing on uncovering the molecular mechanisms of mental disorders and developing novel therapies using the CRISPR/Cas9 (Clustered, Regularly Interspaced, Short Palindromic Repeats (CRISPR) - CRISPR-associated system 9 (Cas9)) system to determine the molecular mechanisms of developing mental disorders and novel therapy. The CRISPR/Cas9 system is the most promising among genome editing tools. Numerous advantages of the CRISPR/Cas9 system and its successful application in some studies provide wide opportunities for genome therapy and regeneration medicine. In this review we shortly describe structure and function of the CRISPR/Cas9 system and its application to study the molecular-genetic basis of mental disorders in human.
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Affiliation(s)
- Yu D Davydova
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa University of Science and Technology, Ufa, Russia
| | - A V Kazantseva
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa State Petroleum Technical University, Ufa, Russia
| | - E K Khusnutdinova
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa University of Science and Technology, Ufa, Russia
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Kazantseva AV, Davydova YD, Enikeeva RF, Mustafin RN, Lobaskova MM, Malykh SB, Khusnutdinova EK. Individual Differences in Relative Telomere Length in Mentally Healthy Subjects: The Effect of TERT Gene Polymorphism and Urban Residency. RUSS J GENET+ 2022; 58:1135-1144. [PMID: 36119151 PMCID: PMC9470233 DOI: 10.1134/s1022795422090101] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 11/23/2022]
Abstract
The changes in the telomere length caused by the terminal underreplication in the existing literature are related to depressive disorders. However, the use of the telomere length as a biomarker of depressive states is ambiguous, which is due to the effect of various environmental factors on both the psychoemotional state and cellular aging of an organism. In order to identify the possible use of the relative telomere length (RTL) measured in peripheral blood leukocytes as a biomarker of enhanced liability to depression prior to the clinical symptoms, as well as to determine the link between telomere length, sociodemographic factors, allelic variants of the genes involved in the regulation of telomere elongation, and depression level, the association analysis of reverse transcriptase (TERT rs7726159), telomerase RNA component (TERC rs1317082), and the CST complex encoding protein (OBFC1 rs2487999) gene polymorphisms was performed with RTL and depression level in mentally healthy individuals (N = 1065) aged 18-25 years. Together with genetic variants, the examined regression models included various sociodemographic parameters as predictors. As a result of statistical analysis, we failed to observe the association between RTL and individual differences in depression level in the studied sample. Nevertheless, multiple regression analysis allowed us to construct a statistically significant model of individual variance in RTL (P = 4.3е-4; r 2 = 0.018), which included rs7726159 in the TERT gene (P = 0.020; β = 0.078) and such environmental predictors as age (P = 0.001; β = -0.027) and place of residence in childhood (urban/rural area) (P = 0.048; β = 0.063). The data obtained confirm the involvement of TERT gene variants and age in telomere length in mentally healthy individuals aged 18-25 years and indicate a negative effect of urban residency on telomere length shortening, which reflects the cellular aging of an organism.
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Affiliation(s)
- A V Kazantseva
- Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre, Russian Academy of Sciences, 450054 Ufa, Russia.,Bashkir State University, 450076 Ufa, Russia.,Ufa State Petroleum Technical University, 450064 Ufa, Russia
| | - Yu D Davydova
- Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre, Russian Academy of Sciences, 450054 Ufa, Russia.,Bashkir State University, 450076 Ufa, Russia
| | - R F Enikeeva
- Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre, Russian Academy of Sciences, 450054 Ufa, Russia.,Bashkir State University, 450076 Ufa, Russia
| | - R N Mustafin
- Bashkir State Medical University, 450008 Ufa, Russia
| | - M M Lobaskova
- Psychological Institute, Russian Academy of Education, 125009 Moscow, Russia
| | - S B Malykh
- Psychological Institute, Russian Academy of Education, 125009 Moscow, Russia.,Moscow State University, 119991 Moscow, Russia
| | - E K Khusnutdinova
- Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre, Russian Academy of Sciences, 450054 Ufa, Russia.,Bashkir State University, 450076 Ufa, Russia.,Moscow State University, 119991 Moscow, Russia
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