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Cheng Y, Chen X, Zhang XQ, Ju PJ, Wang WD, Fang Y, Lin GN, Cui DH. Interaction between RNF4 and SART3 is associated with the risk of schizophrenia. Heliyon 2024; 10:e32743. [PMID: 38975171 PMCID: PMC11226853 DOI: 10.1016/j.heliyon.2024.e32743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 06/03/2024] [Accepted: 06/07/2024] [Indexed: 07/09/2024] Open
Abstract
The pathogenesis of schizophrenia (SCZ) is heavily influenced by genetic factors. Ring finger protein 4 (RNF4) and squamous cell carcinoma antigen recognized by T cells 3 (SART3) are thought to be involved in nervous system growth and development via oxidative stress pathways. Moreover, they have previously been linked to SCZ. Yet the role of RNF4 and SART3 in SCZ remains unclear. Here, we investigated how these two genes are involved in SCZ by studying their variants observed in patients. We first observed significantly elevated mRNA levels of RNF4 and SART3 in the peripheral blood in both first-episode (n = 30) and chronic (n = 30) SCZ patients compared to controls (n = 60). Next, we targeted-sequenced three single nucleotide polymorphisms (SNPs) in SART3 and six SNPs in RNF4 for association with SCZ using the genomic DNA extracted from peripheral blood leukocytes from SCZ participants (n = 392) and controls (n = 572). We observed a combination of SNPs that included rs1203860, rs2282765 (both in RNF4), and rs2287550 (in SART3) was associated with increased risk of SCZ, suggesting common pathogenic mechanisms between these two genes. We then conducted experiments in HEK293T cells to better understand the interaction between RNF4 and SART3. We observed that SART3 lowered the expression of RNF4 through ubiquitination and downregulated the expression of nuclear factor E2-related factor 2 (NRF2), a downstream factor of RNF4, implicating the existence of a possible shared regulatory mechanism for RNF4 and SART3. In conclusion, our study provides evidence that the interaction between RNF4 and SART3 contributes to the risk of SCZ. The findings shed light on the underlying molecular mechanisms of SCZ and may lead to the development of new therapies and interventions for this disorder.
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Affiliation(s)
- Ying Cheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Xi Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Xiao Qing Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Pei Jun Ju
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Di Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Division of Imaging, Computational and Systems Biomedicine, School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Yu Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Guan Ning Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Division of Imaging, Computational and Systems Biomedicine, School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Dong Hong Cui
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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Morozova A, Ushakova V, Pavlova O, Bairamova S, Andryshenko N, Ochneva A, Abramova O, Zorkina Y, Spektor VA, Gadisov T, Ukhov A, Zubkov E, Solovieva K, Alexeeva P, Khobta E, Nebogina K, Kozlov A, Klimenko T, Gurina O, Shport S, Kostuyk G, Chekhonin V, Pavlov K. BDNF, DRD4, and HTR2A Gene Allele Frequency Distribution and Association with Mental Illnesses in the European Part of Russia. Genes (Basel) 2024; 15:240. [PMID: 38397229 PMCID: PMC10887670 DOI: 10.3390/genes15020240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
The prevalence of mental disorders and how they are diagnosed represent some of the major problems in psychiatry. Modern genetic tools offer the potential to reduce the complications concerning diagnosis. However, the vast genetic diversity in the world population requires a closer investigation of any selected populations. In the current research, four polymorphisms, namely rs6265 in BDNF, rs10835210 in BDNF, rs6313 in HTR2A, and rs1800955 in DRD4, were analyzed in a case-control study of 2393 individuals (1639 patients with mental disorders (F20-F29, F30-F48) and 754 controls) from the European part of Russia using the TaqMan SNP genotyping method. Significant associations between rs6265 BDNF and rs1800955 DRD4 and mental impairments were detected when comparing the general group of patients with mental disorders (without separation into diagnoses) to the control group. Associations of rs6265 in BDNF, rs1800955 in DRD4, and rs6313 in HTR2A with schizophrenia in patients from the schizophrenia group separately compared to the control group were also found. The obtained results can extend the concept of a genetic basis for mental disorders in the Russian population and provide a basis for the future improvement in psychiatric diagnostics.
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Affiliation(s)
- Anna Morozova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Valeriya Ushakova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
- Department of Neurobiology, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Olga Pavlova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Sakeena Bairamova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Nika Andryshenko
- Department of Biology, MSU-BIT Shenzhen University, Shenzhen 518172, China;
| | - Aleksandra Ochneva
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Olga Abramova
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Yana Zorkina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Valery A. Spektor
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Timur Gadisov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Andrey Ukhov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Eugene Zubkov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Kristina Solovieva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Polina Alexeeva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Elena Khobta
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Kira Nebogina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Alexander Kozlov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Tatyana Klimenko
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Olga Gurina
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - Svetlana Shport
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
| | - George Kostuyk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
| | - Vladimir Chekhonin
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Department of Medical Nanobiotechnologies, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Konstantin Pavlov
- V. Serbsky National Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia; (V.U.); (O.P.); (S.B.); (A.O.); (O.A.); (Y.Z.); (T.G.); (A.U.); (E.Z.); (O.G.); (K.P.)
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia
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Le H, Dimitrakopoulou K, Patel H, Curtis C, Cordero-Grande L, Edwards AD, Hajnal J, Tournier JD, Deprez M, Cullen H. Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project. Transl Psychiatry 2023; 13:121. [PMID: 37037832 PMCID: PMC10085987 DOI: 10.1038/s41398-023-02413-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 03/16/2023] [Accepted: 03/24/2023] [Indexed: 04/12/2023] Open
Abstract
Increasing lines of evidence suggest deviations from the normal early developmental trajectory could give rise to the onset of schizophrenia during adolescence and young adulthood, but few studies have investigated brain imaging changes associated with schizophrenia common variants in neonates. This study compared the brain volumes of both grey and white matter regions with schizophrenia polygenic risk scores (PRS) for 207 healthy term-born infants of European ancestry. Linear regression was used to estimate the relationship between PRS and brain volumes, with gestational age at birth, postmenstrual age at scan, ancestral principal components, sex and intracranial volumes as covariates. The schizophrenia PRS were negatively associated with the grey (β = -0.08, p = 4.2 × 10-3) and white (β = -0.13, p = 9.4 × 10-3) matter superior temporal gyrus volumes, white frontal lobe volume (β = -0.09, p = 1.5 × 10-3) and the total white matter volume (β = -0.062, p = 1.66 × 10-2). This result also remained robust when incorporating individuals of Asian ancestry. Explorative functional analysis of the schizophrenia risk variants associated with the right frontal lobe white matter volume found enrichment in neurodevelopmental pathways. This preliminary result suggests possible involvement of schizophrenia risk genes in early brain growth, and potential early life structural alterations long before the average age of onset of the disease.
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Affiliation(s)
- Hai Le
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK.
| | - Konstantina Dimitrakopoulou
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Hamel Patel
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Charles Curtis
- NIHR Maudsley Biomedical Research Centre, King's College London, London, UK
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, ISCIII, Madrid, Spain
| | - A David Edwards
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Joseph Hajnal
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Jacques-Donald Tournier
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Maria Deprez
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
| | - Harriet Cullen
- Centre for the Developing Brain, Perinatal Imaging and Health Department, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
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Abstract
China accounts for 17% of the global disease burden attributable to mental, neurological and substance use disorders. As a country undergoing profound societal change, China faces growing challenges to reduce the disease burden caused by psychiatric disorders. In this review, we aim to present an overview of progress in neuroscience research and clinical services for psychiatric disorders in China during the past three decades, analysing contributing factors and potential challenges to the field development. We first review studies in the epidemiological, genetic and neuroimaging fields as examples to illustrate a growing contribution of studies from China to the neuroscience research. Next, we introduce large-scale, open-access imaging genetic cohorts and recently initiated brain banks in China as platforms to study healthy brain functions and brain disorders. Then, we show progress in clinical services, including an integration of hospital and community-based healthcare systems and early intervention schemes. We finally discuss opportunities and existing challenges: achievements in research and clinical services are indispensable to the growing funding investment and continued engagement in international collaborations. The unique aspect of traditional Chinese medicine may provide insights to develop a novel treatment for psychiatric disorders. Yet obstacles still remain to promote research quality and to provide ubiquitous clinical services to vulnerable populations. Taken together, we expect to see a sustained advancement in psychiatric research and healthcare system in China. These achievements will contribute to the global efforts to realize good physical, mental and social well-being for all individuals.
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Liu X, Han T, Xie H, Fu Z, Yao Q, Lin Z, Zhu H, Zhan D. Evaluation of the relationship between VRK2, rs4380187 polymorphisms, and genetic susceptibility to schizophrenia in the Chinese Han population. J Gene Med 2021; 23:e3313. [PMID: 33522046 DOI: 10.1002/jgm.3313] [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: 10/10/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schizophrenia (SZ) is a serious hereditary mental disease with a low recovery rate, especially due to the lack of understanding about the cause of the disease. VRK2 is considered to be related to the pathogenesis of schizophrenia. In this study, we analyzed the correlation between VRK2, rs4380187 single-nucleotide polymorphism (SNP), and schizophrenia. METHODS Peripheral blood DNA was extracted using a genomic DNA extraction kit. The DNA samples were genotyped using the Agena MassARRAY platform, and four genetic models were applied to compute the odds ratios (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression. The p value was obtained by the chi-square and t test for independent samples. RESULTS The C allele of rs4380187 SNP was significantly (p = 0.008) associated with decreased risk of SZ. The AA genotype of rs4380187 showed significantly (p = 0.009) lower frequency in cases with SZ than in controls and was associated with decreased risk of the disease. The frequency of the CA genotype of rs4380187 correlated with a 0.73-fold decreased risk of SZ (p = 0.033). In the co-dominant genetic model, the genotype of rs4380187 was associated with a decreased risk of SZ (p = 0.010). We also found that the log-additive model of rs4380187 significantly reduced the risk of SZ disease (p = 0.007). CONCLUSION This study provides further evidence that rs4380187 SNP is associated with SZ. This genotype variation could be associated with the psychopathology and cognitive function in SZ.
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Affiliation(s)
- Xianglai Liu
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Tianming Han
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Hailing Xie
- Institute of Mental Health, Anning Hospital, Hainan Province, China.,The Third Department of Psychiatry, Anning Hospital, Hainan Province, China
| | - Zejuan Fu
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Qiankun Yao
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Zhan Lin
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Hong Zhu
- Institute of Mental Health, Anning Hospital, Hainan Province, China
| | - Dafei Zhan
- Institute of Mental Health, Anning Hospital, Hainan Province, China
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Tang H, Tang Y, Zeng T, Chen L. Gene expression analysis reveals the tipping points during infant brain development for human and chimpanzee. BMC Genomics 2020; 21:74. [PMID: 32138647 PMCID: PMC7057467 DOI: 10.1186/s12864-020-6465-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 01/08/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Postpartum developmental delay has been proposed as an important phenotype of human evolution which contributes to many human-specific features including the increase in brain size and the advanced human-specific cognitive traits. However, the biological processes and molecular functions underlying early brain development still remain poorly understood, especially in human and primates. RESULTS In this paper, we comparatively and extensively studied dorsolarteral prefrontal cortex expression data in human and chimpanzee to investigate the critical processes or biological events during early brain development at a molecular level. By using the dynamic network biomarker (DNB) model, we found that there are tipping points around 3 months and 1 month, which are crucial periods in infant human and chimpanzee brain development, respectively. In particular, we shown that the human postnatal development and the corresponding expression changes are delayed 3 times relative to chimpanzee, and we also revealed that many common biological processes are highly involved in those critical periods for both human and chimpanzee, e.g., physiological system development functions, nervous system development, organismal development and tissue morphology. These findings support that the maximal rates of brain growth will be in those two critical periods for respective human and primates. In addition, different from chimpanzee, our analytic results also showed that human can further develop a number of advanced behavior functions around this tipping point (around 3 months), such as the ability of learning and memory. CONCLUSION This work not only provides biological insights into primate brain development at a molecular level but also opens a new way to study the criticality of nonlinear biological processes based on the observed omics data.
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Affiliation(s)
- Hui Tang
- Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031 China
| | - Ying Tang
- Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031 China
| | - Tao Zeng
- Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, 201210 China
| | - Luonan Chen
- Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031 China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223 China
- Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, 201210 China
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Dennison CA, Legge SE, Pardiñas AF, Walters JTR. Genome-wide association studies in schizophrenia: Recent advances, challenges and future perspective. Schizophr Res 2020; 217:4-12. [PMID: 31780348 DOI: 10.1016/j.schres.2019.10.048] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 10/24/2019] [Indexed: 01/07/2023]
Abstract
Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders.
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Affiliation(s)
- Charlotte A Dennison
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sophie E Legge
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK.
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Li Y, Lv Z, Zhang J, Ma Q, Li Q, Song L, Gong L, Zhu Y, Li X, Hao Y, Yang Y. Profiling of differentially expressed circular RNAs in peripheral blood mononuclear cells from Alzheimer's disease patients. Metab Brain Dis 2020; 35:201-213. [PMID: 31834549 DOI: 10.1007/s11011-019-00497-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 09/12/2019] [Indexed: 02/08/2023]
Abstract
Expression of circular RNA (circRNA), a class of noncoding RNAs that regulates gene expression, is altered in Alzheimer's disease. This study profiled differentially expressed circRNAs in peripheral blood mononuclear cells (PBMCs) from five patients with Alzheimer's disease compared to healthy controls using circRNA microarrays. We identified a total of 4060 differentially expressed circRNAs (1990 upregulated and 2070 downregulated) in Alzheimer's disease patients. Among these circRNAs, 10 randomly selected circRNAs were verified using qRT-PCR. The top 10 upregulated and downregulated circRNAs were used to predict their target miRNAs. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that these differentially expressed circRNAs were strongly associated with inflammation, metabolism, and immune responses, which are all risk factors for Alzheimer's disease. The circRNA-miRNA-mRNA network was most involved in the MAPK, mTOR, AMPK, and WNT signaling pathways in Alzheimer's disease. In conclusion, the current study demonstrated the importance of circRNAs in Alzheimer's disease development. Future studies will evaluate some of these circRNAs as biomarkers for early disease detection and to develop therapeutic strategies to clinically control Alzheimer's disease progression.
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Affiliation(s)
- Yanxin Li
- Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Zhanyun Lv
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Jing Zhang
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Qianqian Ma
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Qiuhua Li
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Li Song
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Li Gong
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Yunliang Zhu
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Xiangyuan Li
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China
- Jining Medical University, Jining, 272067, China
| | - Yanlei Hao
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China.
- Jining Medical University, Jining, 272067, China.
| | - Yan Yang
- Department of Neurology, The Affiliated Hospital of Jining Medical University, Jining, 272000, China.
- Jining Medical University, Jining, 272067, China.
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Shokraeian P, Daneshmandpour Y, Jamshidi J, Emamalizadeh B, Darvish H. Genetic analysis of rs11038167, rs11038172 and rs835784 polymorphisms of the TSPAN18 gene in Iranian schizophrenia patients. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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10
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Translating preclinical findings in clinically relevant new antipsychotic targets: focus on the glutamatergic postsynaptic density. Implications for treatment resistant schizophrenia. Neurosci Biobehav Rev 2019; 107:795-827. [DOI: 10.1016/j.neubiorev.2019.08.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 07/20/2019] [Accepted: 08/22/2019] [Indexed: 02/07/2023]
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11
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Igeta H, Watanabe Y, Morikawa R, Ikeda M, Otsuka I, Hoya S, Koizumi M, Egawa J, Hishimoto A, Iwata N, Someya T. Rare compound heterozygous missense SPATA7 variations and risk of schizophrenia; whole-exome sequencing in a consanguineous family with affected siblings, follow-up sequencing and a case-control study. Neuropsychiatr Dis Treat 2019; 15:2353-2363. [PMID: 31695380 PMCID: PMC6707433 DOI: 10.2147/ndt.s218773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 07/23/2019] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Whole-exome sequencing (WES) of multiplex families is a promising strategy for identifying causative variations for common diseases. To identify rare recessive risk variations for schizophrenia, we performed a WES study in a consanguineous family with affected siblings. We then performed follow-up sequencing of SPATA7 in schizophrenia-affected families. In addition, we performed a case-control study to investigate association between SPATA7 variations and schizophrenia. PATIENTS AND METHODS WES was performed on two affected siblings and their unaffected parents, who were second cousins, of a multiplex schizophrenia family. Subsequently, we sequenced the coding region of SPATA7, a potential risk gene identified by the WES analysis, in 142 affected offspring from 137 families for whom parental DNA samples were available. We further tested rare recessive SPATA7 variations, identified by WES and sequencing, for associations with schizophrenia in 2,756 patients and 2,646 controls. RESULTS Our WES analysis identified rare compound heterozygous missense SPATA7 variations, p.Asp134Gly and p.Ile332Thr, in both affected siblings. Sequencing SPATA7 coding regions from 137 families identified no rare recessive variations in affected offspring. In the case-control study, we did not detect the rare compound heterozygous SPATA7 missense variations in patients or controls. CONCLUSION Our data does not support the role of the rare compound heterozygous SPATA7 missense variations p.Asp134Gly and p.Ile332Thr in conferring a substantial risk of schizophrenia.
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Affiliation(s)
- Hirofumi Igeta
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Yuichiro Watanabe
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Ryo Morikawa
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Satoshi Hoya
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Masataka Koizumi
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Jun Egawa
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Toshiyuki Someya
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
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12
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LIU D, CEN H, JIANG K, XU Y. Research Progress in Biological Studies of Schizophrenia in China in 2017. SHANGHAI ARCHIVES OF PSYCHIATRY 2018; 30:147-153. [PMID: 30858666 PMCID: PMC6410407 DOI: 10.11919/j.issn.1002-0829.218041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Schizophrenia is a severe mental disorder and its etiology and pathological mechanism are unknown. This article mainly introduces the progress of biological studies of schizophrenia in China in 2017, including neuroimaging, genetics, and immunology studies. It also introduces the research progress of high-risk psychotic syndrome and physiotherapy.
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Affiliation(s)
- Dengtang LIU
- * Mailing address: 600 South Wanping RD, Shanghai, China. Postcode: 200030.
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13
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Karis K, Eskla KL, Kaare M, Täht K, Tuusov J, Visnapuu T, Innos J, Jayaram M, Timmusk T, Weickert CS, Väli M, Vasar E, Philips MA. Altered Expression Profile of IgLON Family of Neural Cell Adhesion Molecules in the Dorsolateral Prefrontal Cortex of Schizophrenic Patients. Front Mol Neurosci 2018; 11:8. [PMID: 29434535 PMCID: PMC5797424 DOI: 10.3389/fnmol.2018.00008] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/08/2018] [Indexed: 01/03/2023] Open
Abstract
Neural adhesion proteins are crucial in the development and maintenance of functional neural connectivity. Growing evidence suggests that the IgLON family of neural adhesion molecules LSAMP, NTM, NEGR1, and OPCML are important candidates in forming the susceptibility to schizophrenia (SCZ). IgLON proteins have been shown to be involved in neurite outgrowth, synaptic plasticity and neuronal connectivity, all of which have been shown to be altered in the brains of patients with the diagnosis of schizophrenia. Here we optimized custom 5'-isoform-specific TaqMan gene-expression analysis for the transcripts of human IgLON genes to study the expression of IgLONs in the dorsolateral prefrontal cortex (DLPFC) of schizophrenic patients (n = 36) and control subjects (n = 36). Uniform 5'-region and a single promoter was confirmed for the human NEGR1 gene by in silico analysis. IgLON5, a recently described family member, was also included in the study. We detected significantly elevated levels of the NEGR1 transcript (1.33-fold increase) and the NTM 1b isoform transcript (1.47-fold increase) in the DLPFC of schizophrenia patients compared to healthy controls. Consequent protein analysis performed in male subjects confirmed the increase in NEGR1 protein content both in patients with the paranoid subtype and in patients with other subtypes. In-group analysis of patients revealed that lower expression of certain IgLON transcripts, mostly LSAMP 1a and 1b, could be related with concurrent depressive endophenotype in schizophrenic patients. Additionally, our study cohort provides further evidence that cannabis use may be a relevant risk factor associated with suicidal behaviors in psychotic patients. In conclusion, we provide clinical evidence of increased expression levels of particular IgLON family members in the DLPFC of schizophrenic patients. We propose that alterations in the expression profile of IgLON neural adhesion molecules are associated with brain circuit disorganization in neuropsychiatric disorders, such as schizophrenia. In the light of previously published data, we suggest that increased level of NEGR1 in the frontal cortex may serve as molecular marker for a wider spectrum of psychiatric conditions.
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Affiliation(s)
- Karina Karis
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Kattri-Liis Eskla
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Maria Kaare
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Karin Täht
- Institute of Psychology, University of Tartu, Tartu, Estonia
| | - Jana Tuusov
- Department of Pathological Anatomy and Forensic Medicine, University of Tartu, Tartu, Estonia.,Estonian Forensic Science Institute, Tallinn, Estonia
| | - Tanel Visnapuu
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Jürgen Innos
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Mohan Jayaram
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Tõnis Timmusk
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia
| | - Cynthia S Weickert
- Faculty of Medicine, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Schizophrenia Research Institute, Neuroscience Research Australia, Randwick, NSW, Australia
| | - Marika Väli
- Department of Pathological Anatomy and Forensic Medicine, University of Tartu, Tartu, Estonia.,Estonian Forensic Science Institute, Tallinn, Estonia
| | - Eero Vasar
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Mari-Anne Philips
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Centre of Excellence for Genomics and Translational Medicine, University of Tartu, Tartu, Estonia
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