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Genetic Predisposition to Schizophrenia and Depressive Disorder Comorbidity. Genes (Basel) 2022; 13:genes13030457. [PMID: 35328011 PMCID: PMC8950769 DOI: 10.3390/genes13030457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Patients with schizophrenia have an increased risk of depressive disorders compared to the general population. The comorbidity between schizophrenia and depression suggests a potential coincidence of the pathophysiology and/or genetic predictors of these mental disorders. The aim of this study was to review the potential genetic predictors of schizophrenia and depression comorbidity. Materials and Methods: We carried out research and analysis of publications in the databases PubMed, Springer, Wiley Online Library, Taylor & Francis Online, Science Direct, and eLIBRARY.RU using keywords and their combinations. The search depth was the last 10 years (2010–2020). Full-text original articles, reviews, meta-analyses, and clinical observations were analyzed. A total of 459 articles were found, of which 45 articles corresponding to the purpose of this study were analyzed in this topic review. Results: Overlap in the symptoms and genetic predictors between these disorders suggests that a common etiological mechanism may underlie the presentation of comorbid depression in schizophrenia. The molecular mechanisms linking schizophrenia and depression are polygenic. The most studied candidate genes are GRIN1, GPM6A, SEPTIN4, TPH1, TPH2, CACNA1C, CACNB2, and BCL9.Conclusion: Planning and conducting genome-wide and associative genetic studies of the comorbid conditions under consideration in psychiatry is important for the development of biological and clinical predictors and a personalized therapy strategy for schizophrenia. However, it should be recognized that the problems of predictive and personalized psychiatry in the diagnosis and treatment of schizophrenia and comorbid disorders are far from being resolved.
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Yoon J, Mao Y. Dissecting Molecular Genetic Mechanisms of 1q21.1 CNV in Neuropsychiatric Disorders. Int J Mol Sci 2021; 22:5811. [PMID: 34071723 PMCID: PMC8197994 DOI: 10.3390/ijms22115811] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/23/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022] Open
Abstract
Pathogenic copy number variations (CNVs) contribute to the etiology of neurodevelopmental/neuropsychiatric disorders (NDs). Increased CNV burden has been found to be critically involved in NDs compared with controls in clinical studies. The 1q21.1 CNVs, rare and large chromosomal microduplications and microdeletions, are detected in many patients with NDs. Phenotypes of duplication and deletion appear at the two ends of the spectrum. Microdeletions are predominant in individuals with schizophrenia (SCZ) and microcephaly, whereas microduplications are predominant in individuals with autism spectrum disorder (ASD) and macrocephaly. However, its complexity hinders the discovery of molecular pathways and phenotypic networks. In this review, we summarize the recent genome-wide association studies (GWASs) that have identified candidate genes positively correlated with 1q21.1 CNVs, which are likely to contribute to abnormal phenotypes in carriers. We discuss the clinical data implicated in the 1q21.1 genetic structure that is strongly associated with neurodevelopmental dysfunctions like cognitive impairment and reduced synaptic plasticity. We further present variations reported in the phenotypic severity, genomic penetrance and inheritance.
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Affiliation(s)
| | - Yingwei Mao
- Department of Biology, Eberly College of Science, Pennsylvania State University, University Park, PA 16802, USA;
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Tomiyama H, Nakao T, Murayama K, Nemoto K, Ikari K, Yamada S, Kuwano M, Hasuzawa S, Togao O, Hiwatashi A, Kanba S. Dysfunction between dorsal caudate and salience network associated with impaired cognitive flexibility in obsessive-compulsive disorder: A resting-state fMRI study. NEUROIMAGE-CLINICAL 2019; 24:102004. [PMID: 31622840 PMCID: PMC6812295 DOI: 10.1016/j.nicl.2019.102004] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 09/10/2019] [Accepted: 09/13/2019] [Indexed: 12/12/2022]
Abstract
Background Impaired cognitive flexibility has been implicated in the genetic basis of obsessive-compulsive disorder (OCD). Recent endophenotype studies of OCD showed neural inefficiency in the cognitive control network and interference by the limbic network of the cognitive control network. Exploring the relationship between the functional brain network and impaired cognitive flexibility may provide novel information about the neurobiological basis of OCD. Methods We obtained resting-state functional magnetic resonance imaging (rsfMRI) scans and measured the cognitive flexibility of 37 medication-free OCD patients and 40 healthy control (HC) participants using the Wisconsin Card Sorting Test (WCST). We explored the difference between OCD and HC groups in the functional brain network related to impaired cognitive flexibility from the amygdala and dorsal striatal regions of interest (ROIs) by using a seed-based approach. Results Significant differences between the OCD and HC groups were identified in the resting state functional network from the dorsal caudate. Increased functional connectivity from the dorsal caudate to the dorsal anterior cingulate cortex (dACC) and anterior insula (AI) was associated with poorer cognitive flexibility in the OCD group, but better cognitive flexibility in the HC group. Conclusions These results provide evidence that the impaired cognitive flexibility of OCD may be associated with dysfunctions of the brain network from the dorsal caudate (DC) to important nodes of the salience network. Our results extend the neuropsychological model of OCD by showing intrinsically different associations between OCD and HC in functional network and cognitive flexibility. Increased functional connectivity from the dorsal caudate to the dorsal anterior cingulate cortex and anterior insula was associated with poorer cognitive flexibility in the OCD group, but better cognitive flexibility in the HC group. Our results may suggest that the dysfunction from DC to SN is associated with impaired cognitive flexibility of OCD. These findings could provide additional insights into the important role of cooperative interactions between the dorsal striatum and the large-scale intrinsic brain networks in human cognitive function.
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Affiliation(s)
- Hirofumi Tomiyama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan.
| | - Keitaro Murayama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba
| | - Keisuke Ikari
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Satoshi Yamada
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Masumi Kuwano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Suguru Hasuzawa
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Osamu Togao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Akio Hiwatashi
- Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
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Ji X, Pan Q, Wang Y, Wu Y, Zhou J, Liu A, Qiao F, Ma D, Hu P, Xu Z. Prenatal Diagnosis of Recurrent Distal 1q21.1 Duplication in Three Fetuses With Ultrasound Anomalies. Front Genet 2018; 9:275. [PMID: 30177949 PMCID: PMC6109635 DOI: 10.3389/fgene.2018.00275] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 07/05/2018] [Indexed: 11/13/2022] Open
Abstract
Background: The phenotype of duplication of 1q21.1 region is variable, ranging from macrocephaly, autism spectrum disorder, congenital anomalies, to a normal phenotype. Few cases have been reported in the literature regarding prenatal diagnosis of 1q21.1 duplication syndrome. The current study presents prenatal diagnosis of 1q21.1 duplication syndrome in three fetuses with ultrasound anomalies. Case presentation: Three fetuses from three unrelated families were included in the study. The prenatal routine ultrasound examination showed nasal bone loss in Fetus 1 and Fetus 3, as well as duodenal atresia in Fetus 2. Chromosomal microarray analysis was performed to provide genetic analysis of amniotic fluid and parental blood samples. The CMA results revealed two de novo duplications of 1.34 and 2.69 Mb at distal 1q21.1 region in two fetuses with absent nasal bone, as well as a maternal inherited 1.35-Mb duplication at distal 1q21.1 in one fetus with duodenal atresia. Conclusions: The phenotype of 1q21.1 duplication syndrome in prenatal diagnosis is variable. The fetuses with nasal bone loss or duodenal atresia may be related to 1q21.1 duplication and chromosomal microarray analysis should be performed.
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Affiliation(s)
- Xiuqing Ji
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Qiong Pan
- Laboratory of Clinical Genetics, Department of Prenatal Diagnosis, Huai'an Maternal and Child Health Care Hospital, Huaian, China
| | - Yan Wang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yun Wu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Jing Zhou
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - An Liu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Fengchang Qiao
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Dingyuan Ma
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ping Hu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Zhengfeng Xu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Affiliated Obstetrics and Gynecology Hospital with Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
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Benítez-Burraco A, Barcos-Martínez M, Espejo-Portero I, Fernández-Urquiza M, Torres-Ruiz R, Rodríguez-Perales S, Jiménez-Romero MS. Narrowing the Genetic Causes of Language Dysfunction in the 1q21.1 Microduplication Syndrome. Front Pediatr 2018; 6:163. [PMID: 29922639 PMCID: PMC5996825 DOI: 10.3389/fped.2018.00163] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 05/15/2018] [Indexed: 12/22/2022] Open
Abstract
The chromosome 1q21.1 duplication syndrome (OMIM# 612475) is characterized by head anomalies, mild facial dysmorphisms, and cognitive problems, including autistic features, mental retardation, developmental delay, and learning disabilities. Speech and language development are sometimes impaired, but no detailed characterization of language problems in this condition has been provided to date. We report in detail on the cognitive and language phenotype of a child who presents with a duplication in 1q21.1 (arr[hg19] 1q21.1q21.2(145,764,455-147,824,207) × 3), and who exhibits cognitive delay and behavioral disturbances. Language is significantly perturbed, being the expressive domain the most impaired area (with significant dysphemic features in absence of pure motor speech deficits), although language comprehension and use (pragmatics) are also affected. Among the genes found duplicated in the child, CDH1L is upregulated in the blood of the proband. ROBO1, a candidate for dyslexia, is also highly upregulated, whereas, TLE3, a target of FOXP2, is significantly downregulated. These changes might explain language, and particularly speech dysfunction in the proband.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature, University of Seville, Seville, Spain
| | - Montserrat Barcos-Martínez
- Laboratory of Molecular Genetics, University Hospital "Reina Sofía", Córdoba, Spain.,Maimónides Institute of Biomedical Research, Córdoba, Spain
| | - Isabel Espejo-Portero
- Laboratory of Molecular Genetics, University Hospital "Reina Sofía", Córdoba, Spain.,Maimónides Institute of Biomedical Research, Córdoba, Spain
| | | | - Raúl Torres-Ruiz
- Molecular Cytogenetics Group, Centro Nacional Investigaciones Oncológicas, Madrid, Spain
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