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Bulduk BK, Tortajada J, Valiente-Pallejà A, Callado LF, Torrell H, Vilella E, Meana JJ, Muntané G, Martorell L. High number of mitochondrial DNA alterations in postmortem brain tissue of patients with schizophrenia compared to healthy controls. Psychiatry Res 2024; 337:115928. [PMID: 38759415 DOI: 10.1016/j.psychres.2024.115928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/12/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Abstract
Previous studies have shown mitochondrial dysfunction in schizophrenia (SZ) patients, which may be caused by mitochondrial DNA (mtDNA) alterations. However, there are few studies in SZ that have analyzed mtDNA in brain samples by next-generation sequencing (NGS). To address this gap, we used mtDNA-targeted NGS and qPCR to characterize mtDNA alterations in brain samples from patients with SZ (n = 40) and healthy controls (HC) (n = 40). 35 % of SZ patients showed mtDNA alterations, a significantly higher prevalence compared to 10 % of HC. Specifically, SZ patients had a significantly higher frequency of deletions (35 vs. 5 in HC), with a mean number of deletions of 3.8 in SZ vs. 1.0 in HC. Likely pathogenic missense variants were also significantly more frequent in patients with SZ than in HC (10 vs. three HC), encompassing 14 variants in patients and three in HC. The pathogenic tRNA variant m.3243A>G was identified in one SZ patient with a high heteroplasmy level of 32.2 %. While no significant differences in mtDNA copy number (mtDNA-CN) were observed between SZ and HC, antipsychotic users had significantly higher mtDNA-CN than non-users. These findings suggest a potential role for mtDNA alterations in the pathophysiology of SZ that require further validation and functional studies.
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Affiliation(s)
- Bengisu K Bulduk
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain
| | - Juan Tortajada
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain
| | - Alba Valiente-Pallejà
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Luís F Callado
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Pharmacology, University of the Basque Country, UPV/EHU, Leioa, and BioBizkaia Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Helena Torrell
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT Technology Centre of Catalonia, Unique Scientific and Technical Infrastructures, Reus, Catalonia, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - J Javier Meana
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Pharmacology, University of the Basque Country, UPV/EHU, Leioa, and BioBizkaia Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Gerard Muntané
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Biologia Evolutiva (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Catalonia, Spain.
| | - Lourdes Martorell
- Hospital Universitari Institut Pere Mata (HUIPM), Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV-CERCA), Universitat Rovira i Virgili (URV), Reus, Catalonia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
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Lv H, Li J, Gao K, Zeng L, Xue R, Liu X, Zhou C, Yue W, Yu H. Identification of genetic loci that overlap between schizophrenia and metabolic syndrome. Psychiatry Res 2022; 318:114947. [PMID: 36399892 DOI: 10.1016/j.psychres.2022.114947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022]
Abstract
Patients with schizophrenia (SCZ) frequently exhibit an elevated risk of metabolic syndrome (MetS), which may lead to a worse clinical outcome. Even though these two phenotypes are genetically linked, little is known about their shared genetic determinants. Here, we investigated whether SCZ and MetS share genetic risk factors. To examine the genetic overlap between the two disorders, we applied a comprehensive genetic overlap analysis by integrating GWAS data for SCZ (n = 320,404) and MetS (n = 291,107) at the genome, genetic variants, and gene levels. At the genome level, we observed polygenic overlap between SCZ and MetS by utilizing LDSC (rg=-0.09, P = 1 × 10-4) and GNOVA (rho=-0.04, P = 1.39 × 10-8) analysis. At the SNP level, we performed conjunctional FDR (conjFDR) analysis to identify genetic variants simultaneously associated with two phenotypes. Based on conjFDR < 0.05, we identified 22 loci shared between SCZ and MetS. At the gene level, we further demonstrated that SCZ- and MetS-inferred gene expression overlapped across 49 GTEx tissues and highlighted the PCCB and KCTD13 genes as putative mediators of the genetic association. Overall, these findings shed novel light on the association between SCZ and MetS, and potentially enhance our knowledge of the high comorbidity and genetic processes that overlap between the two disorders.
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Affiliation(s)
- Honggang Lv
- Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China
| | - Juan Li
- Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China
| | - Kai Gao
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Peking University Sixth Hospital (Institute of Mental Health), Beijing 100191, China
| | - Lingsi Zeng
- Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China
| | - Ranran Xue
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, Shandong 272051, China
| | - Xia Liu
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, Shandong 272051, China
| | - Cong Zhou
- Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China
| | - Weihua Yue
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Peking University Sixth Hospital (Institute of Mental Health), Beijing 100191, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
| | - Hao Yu
- Department of Psychiatry, Jining Medical University, Jining, Shandong 272067, China.
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Patrichi B, Ţăpoi C, Rogojină RŞ, Bedreagă I, Dumitrache A, Itu A, Dragomir R, Buciuc AG. Antipsychotic polypharmacy in adult patients diagnosed with schizophrenia: A retrospective study. Exp Ther Med 2021; 22:1225. [PMID: 34539821 PMCID: PMC8438669 DOI: 10.3892/etm.2021.10659] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 07/27/2021] [Indexed: 11/16/2022] Open
Abstract
Antipsychotic polypharmacy (APP) is a common practice in the treatment of schizophrenia. In this study, we aimed to identify the prevalence of APP in our department, as well as the trends associated with co-prescribing antipsychotics. We collected data from the medical records of all 193 inpatients diagnosed with schizophrenia who were admitted to Prof. Dr. Alexandru Obregia Clinical Psychiatry Hospital (Bucharest, Romania), Department 9, during January 2019-December 2019. Demographic characteristics of the patients, clinical diagnosis, psychiatric admission type and duration of hospitalization were examined. Data regarding the antipsychotic regimen at discharge and other psychotropic drugs used were collected. A total of 69 (35.75%) patients received more than 2 antipsychotics upon discharge. Patients treated with APP did not differ in regards to sex, age, education level, employment status, marital status, living situation, type of admission from those receiving antipsychotic monotherapy (APM). Prolonged hospitalization was found to be an independent predictor of APP (P=0.014). Most of the combinations used in our unit included clozapine (47.8%), and the most frequently used treatment in the APP group was the combination of paliperidone and clozapine (14.5%). In the APP group, 30 (43.5%) patients included in their regimen was a long-acting intramuscular antipsychotic. There was no significant difference in terms of the use of mood stabilizers, antiparkinsonian drugs or anxiolytics between the APP and the APM group; yet, a higher prevalence of antidepressant use, although not statistically significant (P=0.067), in the APP group compared to the APM group, was observed. The use of APP as a long-term regimen is a common practice in our department, as it is worldwide. There is a great need for randomized-control trials and evidence-based studies in order to define the safest and most effective combinations of antipsychotics and also the characteristics of patients that may benefit from these combinations.
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Affiliation(s)
- Bogdan Patrichi
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania.,Department of General Psychiatry, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Cristiana Ţăpoi
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Radu Ştefan Rogojină
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Irina Bedreagă
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Anca Dumitrache
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Andreea Itu
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Radu Dragomir
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
| | - Adela-Georgiana Buciuc
- Department of General Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Psychiatry Hospital, 041914 Bucharest, Romania
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Popescu A, Marian M, Drăgoi AM, Costea RV. Understanding the genetics and neurobiological pathways behind addiction (Review). Exp Ther Med 2021; 21:544. [PMID: 33815617 PMCID: PMC8014976 DOI: 10.3892/etm.2021.9976] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 02/15/2021] [Indexed: 12/20/2022] Open
Abstract
The hypothesis issued by modern medicine states that many diseases known to humans are genetically determined, influenced or not by environmental factors, which is applicable to most psychiatric disorders as well. This article focuses on two pending questions regarding addiction: Why do some individuals become addicted while others do not? along with Is it a learned behavior or is it genetically predefined? Recent data suggest that addiction is more than repeated exposure, it is the synchronicity between intrinsic factors (genotype, sex, age, preexisting addictive disorder, or other mental illness), extrinsic factors (childhood, level of education, socioeconomic status, social support, entourage, drug availability) and the nature of the addictive agent (pharmacokinetics, path of administration, psychoactive properties). The dopamine-mesolimbic motivation-reward-reinforcement cycle remains the most coherent physiological theory in addiction. While the common property of addictive substances is that they are dopamine-agonists, each class has individual mechanisms, pharmacokinetics and psychoactive potentials.
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Affiliation(s)
- Alexandra Popescu
- Department of Psychiatry, 'Prof. Dr. Alex. Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Maria Marian
- Department of Psychiatry, 'Prof. Dr. Alex. Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Ana Miruna Drăgoi
- Department of Psychiatry, 'Prof. Dr. Alex. Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Radu-Virgil Costea
- Department of General Surgery, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania
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Drăgoi AM, Voicu T, Chipeşiu AM, Costea RV. Morphopathological approaches in alcoholism. ROMANIAN JOURNAL OF MORPHOLOGY AND EMBRYOLOGY 2021; 61:345-351. [PMID: 33544786 PMCID: PMC7864312 DOI: 10.47162/rjme.61.2.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Alcohol morphopathology has been studied over time, being a central interest of specialists, due to the negative consequences it has on the brain and the entire central nervous system (CNS). This paper is a review of the literature that emphasizes one of the problems of the modern world, that of the compulsive consume of alcohol, having a great global spread. The studies analyzed are topical, being carried out in recent years and consider the harmful effects of alcohol on brain formations, such as corpus callosum, gray and white matter, hippocampus, and hypothalamus. At the same time, alcohol is a risk factor for cardiovascular diseases, and in combination with other harmful substances, increases the risk of various diseases, such as neurodegeneration. Abusive alcohol consumption can bring epigenetic changes and alter the typical functioning of cognitive functions. This paper focuses on alcohol consumption on adolescents and young people, which is a serious problem nowadays. Alcohol also influences the way of behavioral expression, becoming a risk for the development of mental disorders. However, alcohol withdrawal is another problem with different effects and must be in the attention of specialists.
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Affiliation(s)
- Ana Miruna Drăgoi
- Department of Psychiatry, Prof. Dr. Alexandru Obregia Clinical Hospital for Psychiatry, Bucharest, Romania;
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