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Ozdilli K, Mervan Aytac H, Ceren Tuncel F, Oyaci Y, Pehlivan M, Pehlivan S. Evaluation of gene-gene interaction between the interleukin (IL)-2 and IL-2RA gene polymorphisms in schizophrenia patients in the Turkish Population. NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2024; 29:51-56. [PMID: 38195135 PMCID: PMC10827018 DOI: 10.17712/nsj.2024.1.20230075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/22/2023] [Indexed: 01/11/2024]
Abstract
OBJECTIVES To evaluate the genetic polymorphisms in IL-2 and IL-2RA genes in schizophrenia (SCZ) patients by comparing them with healthy controls. METHODS A sample of 127 patients with SCZ and 100 healthy volunteers were included in the case-control study. These individuals were consecutively selected from the Malazgirt State Hospital Psychiatry Outpatient Clinic in Mus, Turkey, over the three months from October 2020 to December 2020. The Structured Clinical Interview for DSM-5 Disorders, Clinician Version (SCID-5-CV) was used to confirm the diagnosis according to the DSM-5 criteria. In addition, polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine gene polymorphisms from DNA material. RESULTS Our findings indicated significant differences in the IL-2 genotype and allele frequencies between SCZ patients and the healthy control group. Specifically, the frequency of the homozygous GG genotype was notably higher in SCZ patients compared to the control group. Conversely, when comparing the IL-2RA genotype and allele frequencies of SCZ patients with the control group, no statistically significant differences were observed between the 2 groups. When compared to individuals with other genotypes, interaction analysis indicated that carriers of the GG/AG (IL-2/IL-2RA) genotype demonstrated a significantly increased risk of SCZ. CONCLUSION In light of the analyses, our study indicates that while the IL-2 genotype polymorphism may be considered a risk factor for developing SCZ, the IL-2RA variant was not associated with SCZ among Turkish patients.
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Affiliation(s)
- Kursat Ozdilli
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Hasan Mervan Aytac
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Fatima Ceren Tuncel
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Yasemin Oyaci
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Mustafa Pehlivan
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Sacide Pehlivan
- From the Department of Medical Biology (Ozdilli), Faculty of Medicine, Medipol University, from the Department of Psychiatry (Aytac), Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Institute of Graduate Studies in Health Sciences (Aytac, Tuncel, Oyaci, Pehlivan), Department of Medical Biology (Tuncel, Oyaci, Pehlivan), Istanbul Faculty of Medicine, Istanbul University, and from Department of Hematology (Pehlivan M), Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
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Kozyrev EA, Ermakov EA, Boiko AS, Mednova IA, Kornetova EG, Bokhan NA, Ivanova SA. Building Predictive Models for Schizophrenia Diagnosis with Peripheral Inflammatory Biomarkers. Biomedicines 2023; 11:1990. [PMID: 37509629 PMCID: PMC10377576 DOI: 10.3390/biomedicines11071990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Machine learning and artificial intelligence technologies are known to be a convenient tool for analyzing multi-domain data in precision psychiatry. In the case of schizophrenia, the most commonly used data sources for such purposes are neuroimaging, voice and language patterns, and mobile phone data. Data on peripheral markers can also be useful for building predictive models. Here, we have developed five predictive models for the binary classification of schizophrenia patients and healthy individuals. Data on serum concentrations of cytokines, chemokines, growth factors, and age were among 38 parameters used to build these models. The sample consisted of 217 schizophrenia patients and 90 healthy individuals. The models architecture was involved logistic regression, deep neural networks, decision trees, support vector machine, and k-nearest neighbors algorithms. It was shown that the algorithm based on a deep neural network (consisting of five layers) showed a slightly higher sensitivity (0.87 ± 0.04) and specificity (0.52 ± 0.06) than other algorithms. Combining all variables into a single classifier showed a cumulative effect that exceeded the effectiveness of individual variables, indicating the need to use multiple biomarkers to diagnose schizophrenia. Thus, the data obtained showed the promise of using data on peripheral biomarkers and machine learning methods for diagnosing schizophrenia.
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Affiliation(s)
- Evgeny A Kozyrev
- Budker Institute of Nuclear Physics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Evgeny A Ermakov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Anastasiia S Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia
| | - Irina A Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia
| | - Elena G Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia
- University Hospital, Siberian State Medical University, 634050 Tomsk, Russia
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia
- Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, 634050 Tomsk, Russia
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia
- Psychiatry, Addiction Psychiatry and Psychotherapy Department, Siberian State Medical University, 634050 Tomsk, Russia
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Kamaeva DA, Kazantseva DV, Boiko AS, Mednova IA, Smirnova LP, Kornetova EG, Ivanova SA. The Influence of Antipsychotic Treatment on the Activity of Abzymes Targeting Myelin and Levels of Inflammation Markers in Patients with Schizophrenia. Biomedicines 2023; 11:biomedicines11041179. [PMID: 37189796 DOI: 10.3390/biomedicines11041179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023] Open
Abstract
Catalytic antibodies, or abzymes, are capable of not only binding but also hydrolyzing various proteins. Previously, an increase in the level of myelin basic protein (MBP)-hydrolyzing activity of antibodies was shown in patients with a number of neurological and mental disorders, including schizophrenia. Furthermore, antipsychotic therapy is known to induce a change in cytokine levels in patients with schizophrenia, which affects regulation of the immune response and inflammatory status. This study investigated the influence of typical and atypical antipsychotics on catalytic antibody activity and the 10 major pro- and anti-inflammatory serum cytokine levels. The study included 40 patients with schizophrenia: 15 treated with first-generation antipsychotics and 25 treated with atypical antipsychotics for 6 weeks. It was found that treatment with atypical antipsychotics changed the levels of some pro-inflammatory cytokines. Antipsychotic therapy also caused a significant decrease in MBP-hydrolyzing activity in patients with schizophrenia (p = 0.0002), and associations of catalytic activity with interleukins were observed.
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Affiliation(s)
- Daria A Kamaeva
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Daria V Kazantseva
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Anastasiia S Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Irina A Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Liudmila P Smirnova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Elena G Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya Str. 4, Tomsk 634014, Russia
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Moskovsky Trakt, 2, Tomsk 634050, Russia
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Ai YW, Du Y, Chen L, Liu SH, Liu QS, Cheng Y. Brain Inflammatory Marker Abnormalities in Major Psychiatric Diseases: a Systematic Review of Postmortem Brain Studies. Mol Neurobiol 2023; 60:2116-2134. [PMID: 36600081 DOI: 10.1007/s12035-022-03199-2] [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: 10/15/2022] [Accepted: 12/23/2022] [Indexed: 01/06/2023]
Abstract
Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are common neuropsychiatric disorders that lead to neuroinflammation in the pathogenesis. It is possible to further explore the connection between inflammation in the brain and SCZ, BD, and MDD. Therefore, we systematically reviewed PubMed and Web of Science on brain inflammatory markers measured in SCZ, BD, and MDD postmortem brains. Out of 2166 studies yielded by the search, 46 studies met the inclusion criteria in SCZ, BD, and MDD postmortem brains. The results were variable across inflammatory markers. For example, 26 studies were included to measure the differential expression between SCZ and control subjects. Similarly, seven of the included studies measured the differential expression of inflammatory markers in patients with BD. The heterogeneity from the included studies is not clear at present, which may be caused by several factors, including the measured brain region, disease stage, brain source, medication, and other factors.
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Affiliation(s)
- Yang-Wen Ai
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China
| | - Yang Du
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China
| | - Lei Chen
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China
| | - Shu-Han Liu
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China
| | - Qing-Shan Liu
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China.
| | - Yong Cheng
- School of Pharmacy, Center on Translational Neuroscience, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China. .,Institute of National Security, Minzu University of China, Haidian District, 27 Zhongguancun South St, 100081, Beijing, China.
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Park JH. Potential Inflammatory Biomarker in Patients with Attention Deficit Hyperactivity Disorder. Int J Mol Sci 2022; 23:13054. [PMID: 36361835 PMCID: PMC9658646 DOI: 10.3390/ijms232113054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 10/24/2022] [Indexed: 11/26/2023] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder that can diminish the quality of life of both children and adults in academic, occupational, and social contexts. The kynurenine pathway (KP) contains a set of enzymatic reactions involved in tryptophan (TRP) degradation. It is known to be associated with the risk of developing ADHD. This review will address the KP and underlying mechanism of inflammation in ADHD. Potential inflammatory biomarkers reported in the most recent studies are summarized. Although a strong neuroimmunological basis has been established due to the advances of recent neurobiological research, the pathophysiology of ADHD remains unclear.
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Affiliation(s)
- Ji Hyun Park
- College of Pharmacy, Duksung Women's University, Seoul 01369, Korea
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The Interrelation between Interleukin-2 and Schizophrenia. Brain Sci 2022; 12:brainsci12091154. [PMID: 36138890 PMCID: PMC9496814 DOI: 10.3390/brainsci12091154] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/23/2022] [Accepted: 08/27/2022] [Indexed: 11/16/2022] Open
Abstract
Interleukin-2 (IL-2) is a growth factor that regulates T-cell autocrine secretion and has long been considered to be closely related to immune response. With the advance in neuroinflammation theory and immunology research on schizophrenia, it is interesting and meaningful to discuss the possible role of IL-2 in schizophrenia. Here, we reviewed a series of studies published from the 1990s and found that IL-2 was closely associated with schizophrenia. For example, IL-2 is responsible for mediating toxic reactions, which are the causes of schizophrenia symptoms in patients, and such symptoms resolve after discontinuation of the drug. In addition, we focused on the changes of IL-2 in the onset, progression and treatment of schizophrenia and the possible mechanisms by which IL-2 affects schizophrenia. Our review suggests that IL-2 is associated with schizophrenia and plays a role in its pathogenesis, and progression IL-2 and sIL-2R could serve as potential biomarkers of schizophrenia.
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