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Huang Y, Zhou S, Feng S, Li H, Zhang Z, Liu C, Li J, Han W, Wu K, Huang X, Wu F. Differential relationships among homocysteine levels, cognitive deficits, and low-frequency fluctuation in brain activity in bipolar disorder with suicidal ideation. BMC Psychiatry 2025; 25:514. [PMID: 40399851 PMCID: PMC12093727 DOI: 10.1186/s12888-025-06925-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Accepted: 04/30/2025] [Indexed: 05/23/2025] Open
Abstract
BACKGROUND Suicidal ideation (SI) is a common symptom of bipolar disorder (BD). Patients with BD and suicidal ideation (BDSI) have been shown to exhibit abnormal spontaneous brain activity and homocysteine (Hcy) levels. Additionally, cognitive deficits are also considered to be a critical symptom in BD. However, the relationship among spontaneous brain activity, Hcy levels, and cognitive deficits in patients with BDSI remains unclear. METHODS A total of 74 participants were enrolled, comprising individuals with BDSI (n = 20), BD patients without suicidal ideation (BDNSI) (n = 24), and age-/sex-matched healthy controls (HC) (n = 30). Each participant underwent cognitive performance assessments, and blood samples were collected to measure Hcy levels. We then calculated the amplitude of low-frequency fluctuation (ALFF) from resting-state functional magnetic resonance imaging data. Mediated-effects analysis was conducted to explore the association among these three variables. RESULTS Hcy levels were significantly higher in the BDNSI group than in the BDSI group (t = 2.33, P = 0.024). Specifically, a significant positive correlation was observed between Hcy levels and the fractional amplitude of low-frequency fluctuation (fALFF) signals in the left posterior cingulate gyrus in the BDSI group (r = 0.644, P = 0.005). Mediation analyses revealed that the left posterior cingulate gyrus significantly mediated the negative relationship between Hcy levels and both visual learning /verbal learning performance (95% confidence intervals for the indirect effects ranging from [Formula: see text]0.592 to [Formula: see text]0.069 and [Formula: see text]0.465 to [Formula: see text]0.042, respectively) in the BDSI group. CONCLUSIONS Our data suggest that patients with BDSI and BDNSI may exhibit distinct Hcy-neurocognitive-brain function profiles, which could be further verified by investigating the underlying pathophysiological mechanism of BDSI.
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Affiliation(s)
- Yuanyuan Huang
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Sumiao Zhou
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Shixuan Feng
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Hehua Li
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Ziyun Zhang
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Chenyu Liu
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Junhao Li
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Wei Han
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Xingbing Huang
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
| | - Fengchun Wu
- The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province, The Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China.
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2
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Bertollo AG, Puntel CF, da Silva BV, Martins M, Bagatini MD, Ignácio ZM. Neurobiological Relationships Between Neurodevelopmental Disorders and Mood Disorders. Brain Sci 2025; 15:307. [PMID: 40149827 PMCID: PMC11940368 DOI: 10.3390/brainsci15030307] [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: 01/31/2025] [Revised: 03/06/2025] [Accepted: 03/11/2025] [Indexed: 03/29/2025] Open
Abstract
According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), neurodevelopmental disorders (NDDs) are a group of conditions that arise early in development and are characterized by deficits in personal, social, academic, or occupational functioning. These disorders frequently co-occur and include conditions such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Mood disorders (MDs), such as major depressive disorder and bipolar disorder, also pose significant global health challenges due to their high prevalence and substantial impact on quality of life. Emerging evidence highlights overlapping neurobiological mechanisms between NDDs and MDs, including shared genetic susceptibilities, neurotransmitter dysregulation (e.g., dopaminergic and serotonergic pathways), neuroinflammation, and hypothalamic-pituitary-adrenal (HPA) axis dysfunction. Environmental factors such as early-life adversity further exacerbate these vulnerabilities, contributing to the complexity of their clinical presentation and comorbidity. Functional neuroimaging studies reveal altered connectivity in brain regions critical for emotional regulation and executive function, such as the prefrontal cortex and amygdala, across these disorders. Despite these advances, integrative diagnostic frameworks and targeted therapeutic strategies remain underexplored, limiting effective intervention. This review synthesizes current knowledge on the shared neurobiological underpinnings of NDDs and MDs, emphasizing the need for multidisciplinary research, including genetic, pharmacological, and psychological approaches, for unified diagnosis and treatment. Addressing these intersections can improve clinical outcomes and enhance the quality of life for individuals affected by these disorders.
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Affiliation(s)
- Amanda Gollo Bertollo
- Postgraduate Program in Neuroscience, Federal University of Santa Catarina (UFSC), Florianópolis 88040-900, SC, Brazil;
| | - Camila Ferreira Puntel
- Laboratory of Physiology, Pharmacology and Psychopathology, Federal University of Fronteira Sul (UFFS), Chapecó 89815-899, SC, Brazil; (C.F.P.); (B.V.d.S.)
| | - Brunna Varela da Silva
- Laboratory of Physiology, Pharmacology and Psychopathology, Federal University of Fronteira Sul (UFFS), Chapecó 89815-899, SC, Brazil; (C.F.P.); (B.V.d.S.)
| | - Marcio Martins
- Postgraduate Program in Contemporary Cultural Studies, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, Brazil;
| | - Margarete Dulce Bagatini
- Cell Culture Laboratory, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul (UFFS), Chapecó 89815-899, SC, Brazil;
| | - Zuleide Maria Ignácio
- Laboratory of Physiology, Pharmacology and Psychopathology, Federal University of Fronteira Sul (UFFS), Chapecó 89815-899, SC, Brazil; (C.F.P.); (B.V.d.S.)
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3
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Biswas S, Emond MR, Philip GS, Jontes JD. Canalization of circuit assembly by δ-protocadherins in the zebrafish optic tectum. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.29.635523. [PMID: 39975130 PMCID: PMC11838265 DOI: 10.1101/2025.01.29.635523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Abstract
Neurons are precisely and reproducibly assembled into complex networks during development. How genes collaborate to guide this assembly remains an enduring mystery. In humans, large numbers of genes have been implicated in neurodevelopmental disorders that are characterized by variable and overlapping phenotypes. The complexity of the brain, the large number of genes involved and the heterogeneity of the disorders makes understanding the relationships between genes, development and neural function challenging. Waddington suggested the concept of canalization to describe the role of genes in shaping developmental trajectories that lead to precise outcomes1. Here, we show that members of the δ-protocadherin family of homophilic adhesion molecules, Protocadherin-19 and Protocadherin-17, contribute to developmental canalization of visual circuit assembly in the zebrafish. We provided oriented visual stimuli to zebrafish larvae and performed in vivo 2-photon calcium imaging in the optic tectum. The latent dynamics resulting from the population activity were confined to a conserved manifold. Among different wild type larvae, these dynamics were remarkably similar, allowing quantitative comparisons within and among genotypes. In both Protocadherin-19 and Protocadherin-17 mutants, the latent dynamics diverged from wild type. Importantly, these deviations could be averaged away, suggesting that the loss of these adhesion molecules leads to stochastic phenotypic variability and introduced disruptions of circuit organization that varied among individual mutants. These results provide a specific, quantitative example of canalization in the development of a vertebrate neural circuit, and suggest a framework for understanding the observed variability in complex brain disorders.
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Affiliation(s)
- Sayantanee Biswas
- Department of Biological Chemistry and Pharmacology Ohio State University Wexner College of Medicine Columbus, OH 43210
| | - Michelle R. Emond
- Department of Biological Chemistry and Pharmacology Ohio State University Wexner College of Medicine Columbus, OH 43210
| | - Grace S. Philip
- Department of Biological Chemistry and Pharmacology Ohio State University Wexner College of Medicine Columbus, OH 43210
| | - James D. Jontes
- Department of Biological Chemistry and Pharmacology Ohio State University Wexner College of Medicine Columbus, OH 43210
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4
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Wang Y, Chen Y, Cui Y, Zhao T, Wang B, Zheng Y, Ren Y, Sha S, Yan Y, Zhao X, Zhang L, Wang G. Alterations in electroencephalographic functional connectivity in individuals with major depressive disorder: a resting-state electroencephalogram study. Front Neurosci 2024; 18:1412591. [PMID: 39055996 PMCID: PMC11270625 DOI: 10.3389/fnins.2024.1412591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 06/19/2024] [Indexed: 07/28/2024] Open
Abstract
Background Major depressive disorder (MDD) is the leading cause of disability among all mental illnesses with increasing prevalence. The diagnosis of MDD is susceptible to interference by several factors, which has led to a trend of exploring objective biomarkers. Electroencephalography (EEG) is a non-invasive procedure that is being gradually applied to detect and diagnose MDD through some features such as functional connectivity (FC). Methods In this research, we analyzed the resting-state EEG of patients with MDD and healthy controls (HCs) in both eyes-open (EO) and eyes-closed (EC) conditions. The phase locking value (PLV) method was utilized to explore the connection and synchronization of neuronal activities spatiotemporally between different brain regions. We compared the PLV between participants with MDD and HCs in five frequency bands (theta, 4-8 Hz; alpha, 8-12 Hz; beta1, 12-16 Hz; beta2, 16-24 Hz; and beta3, 24-40 Hz) and further analyzed the correlation between the PLV of connections with significant differences and the severity of depression (via the scores of 17-item Hamilton Depression Rating Scale, HDRS-17). Results During the EO period, lower PLVs were found in the right temporal-left midline occipital cortex (RT-LMOC; theta, alpha, beta1, and beta2) and posterior parietal-right temporal cortex (PP-RT; beta1 and beta2) in the MDD group compared with the HC group, while PLVs were higher in the MDD group in LT-LMOC (beta2). During the EC period, for the MDD group, lower theta and beta (beta1, beta2, and beta3) PLVs were found in PP-RT, as well as lower theta, alpha, and beta (beta1, beta2, and beta3) PLVs in RT-LMOC. Additionally, in the left midline frontal cortex-right temporal cortex (LMFC-RT) and posterior parietal cortex-right temporal cortex (PP-RMOC), higher PLVs were observed in beta2. There were no significant correlations between PLVs and HDRS-17 scores when connections with significantly different PLVs (all p > 0.05) were checked. Conclusion Our study confirmed the presence of differences in FC between patients with MDD and healthy individuals. Lower PLVs in the connection of the right temporal-left occipital cortex were mostly observed, whereas an increase in PLVs was observed in patients with MDD in the connections of the left temporal with occipital lobe (EO), the circuits of the frontal-temporal lobe, and the parietal-occipital lobe. The trends in FC involved in this study were not correlated with the level of depression. Limitations The study was limited due to the lack of further analysis of confounding factors and follow-up data. Future studies with large-sampled and long-term designs are needed to further explore the distinguishable features of EEG FC in individuals with MDD.
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Affiliation(s)
- Yingtan Wang
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yu Chen
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yi Cui
- Gnosis Healthineer Co. Ltd, Beijing, China
| | - Tong Zhao
- Gnosis Healthineer Co. Ltd, Beijing, China
| | - Bin Wang
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yunxi Zheng
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yanping Ren
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sha Sha
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | | | - Xixi Zhao
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ling Zhang
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Gang Wang
- National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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5
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Yu L, Zeng F, Fan M, Zhang K, Duan J, Tan Y, Liao P, Wen J, Wang C, Wang M, Yuan J, Pang X, Huang Y, Zhang Y, Li JD, Zhang Z, Hu Z. PCDH17 restricts dendritic spine morphogenesis by regulating ROCK2-dependent control of the actin cytoskeleton, modulating emotional behavior. Zool Res 2024; 45:535-550. [PMID: 38747058 PMCID: PMC11188600 DOI: 10.24272/j.issn.2095-8137.2024.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/10/2024] [Indexed: 06/05/2024] Open
Abstract
Proper regulation of synapse formation and elimination is critical for establishing mature neuronal circuits and maintaining brain function. Synaptic abnormalities, such as defects in the density and morphology of postsynaptic dendritic spines, underlie the pathology of various neuropsychiatric disorders. Protocadherin 17 (PCDH17) is associated with major mood disorders, including bipolar disorder and depression. However, the molecular mechanisms by which PCDH17 regulates spine number, morphology, and behavior remain elusive. In this study, we found that PCDH17 functions at postsynaptic sites, restricting the number and size of dendritic spines in excitatory neurons. Selective overexpression of PCDH17 in the ventral hippocampal CA1 results in spine loss and anxiety- and depression-like behaviors in mice. Mechanistically, PCDH17 interacts with actin-relevant proteins and regulates actin filament (F-actin) organization. Specifically, PCDH17 binds to ROCK2, increasing its expression and subsequently enhancing the activity of downstream targets such as LIMK1 and the phosphorylation of cofilin serine-3 (Ser3). Inhibition of ROCK2 activity with belumosudil (KD025) ameliorates the defective F-actin organization and spine structure induced by PCDH17 overexpression, suggesting that ROCK2 mediates the effects of PCDH17 on F-actin content and spine development. Hence, these findings reveal a novel mechanism by which PCDH17 regulates synapse development and behavior, providing pathological insights into the neurobiological basis of mood disorders.
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Affiliation(s)
- Laidong Yu
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Fangfang Zeng
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Mengshu Fan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Kexuan Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Jingjing Duan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yalu Tan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Panlin Liao
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Jin Wen
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Chenyu Wang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Meilin Wang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Jialong Yuan
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Xinxin Pang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
| | - Yan Huang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yangzhou Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Jia-Da Li
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
- Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
- MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha, Hunan 410008, China. E-mail:
| | - Zhuohua Zhang
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
- MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
- Department of Neurosciences, University of South China Medical School, Hengyang, Hunan 421001, China. E-mail:
| | - Zhonghua Hu
- Hunan Key Laboratory of Molecular Precision Medicine, Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha, Hunan 410008, China. E-mail:
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Xu R, Liu Z, Li H, Luo L, Zheng Y, Mu F, Liu Y, Zhang W, Zhang Y, Wang J, Liu Y. Influence of PCDH9 (rs9540720) and narcissistic personality traits on the incidence of major depressive disorder in Chinese first-year university students: findings from a 2-year cohort study. Front Genet 2024; 14:1267972. [PMID: 38384361 PMCID: PMC10879931 DOI: 10.3389/fgene.2023.1267972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/28/2023] [Indexed: 02/23/2024] Open
Abstract
Objective: The objective of this study was to explore the influence of the polymorphism of the protocadherin 9 (PCDH9) gene and the narcissistic personality trait (NPT) on the risk of major depressive disorder (MDD) in Chinese first-year university students. Methods: A 2-year cohort study was conducted among Chinese first-year university students who were enrolled in 2018 from two universities in Shandong Province, China. The snapshot technique was used to detect the genotypes of PCDH9 (rs9540720). The Chinese version of the Composite International Diagnostic Interview was used for the MDD assessment. The NPTs were measured by 11 items based on DSM-IV. Patient Health Questionnaire-9 and the Beck Anxiety Inventory were used to assess depressive and anxiety symptoms, respectively. Logistic regression modeling was carried out to examine the relationship between rs9540720, NPTs, and the incidence of MDD. Results: A total of 5,327 students participated in the baseline and follow-up studies and provided their blood samples. PCDH9 (rs9540720) (ORGG+GA = 2.33, 95% CI: 1.35-4.02) and NPTs (OR5-9 = 2.26, 95% CI: 1.40-3.64) increased the risk of MDD onset. There was no multiplicative interaction between NPTs and Rs9540720 (OR = 1.51, 95% CI: 0.30-7.63). Furthermore, there was no additive interaction between them (RERI = 2.40, 95% CI: -0.82-5.62; AP = 0.47, 95% CI: -0.04-0.97; and S = 2.37, 95% CI: 0.54-10.33). Conclusion: PCDH9 (rs9540720) and more NPTs are the risk factors for the incidence of MDD in Chinese first-year university students.
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Affiliation(s)
- Ruixue Xu
- School of Public Health, Binzhou Medical University, Yantai, China
- School of Public Health, Jining Medical University, Jining, China
| | - Zhaorui Liu
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
| | - Hanyun Li
- Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Linlin Luo
- Department of Hematology, Tai’an City Central Hospital of Qingdao University, Tai’an, China
| | - Yi Zheng
- School of Mental Health, Jining Medical University, Jining, China
| | - Fuqin Mu
- School of Mental Health, Jining Medical University, Jining, China
| | - Yujia Liu
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Weixin Zhang
- School of Clinical Medicine, Jining Medical University, Jining, China
| | - Ying Zhang
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Jianli Wang
- School of Mental Health, Jining Medical University, Jining, China
- Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Yan Liu
- School of Public Health, Jining Medical University, Jining, China
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7
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Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA, Koen N, Lin K, Adams MJ, Rentería ME, Feng Y, Gaziano JM, Stein DJ, Zar HJ, Campbell ML, van Heel DA, Trivedi B, Finer S, McQuillin A, Bass N, Chundru VK, Martin HC, Huang QQ, Valkovskaya M, Chu CY, Kanjira S, Kuo PH, Chen HC, Tsai SJ, Liu YL, Kendler KS, Peterson RE, Cai N, Fang Y, Sen S, Scott LJ, Burmeister M, Loos RJF, Preuss MH, Actkins KV, Davis LK, Uddin M, Wani AH, Wildman DE, Aiello AE, Ursano RJ, Kessler RC, Kanai M, Okada Y, Sakaue S, Rabinowitz JA, Maher BS, Uhl G, Eaton W, Cruz-Fuentes CS, Martinez-Levy GA, Campos AI, Millwood IY, Chen Z, Li L, Wassertheil-Smoller S, Jiang Y, Tian C, Martin NG, Mitchell BL, Byrne EM, Awasthi S, Coleman JRI, Ripke S, Sofer T, Walters RG, McIntosh AM, Polimanti R, Dunn EC, Stein MB, Gelernter J, Lewis CM, Kuchenbaecker K. Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nat Genet 2024; 56:222-233. [PMID: 38177345 PMCID: PMC10864182 DOI: 10.1038/s41588-023-01596-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/26/2023] [Indexed: 01/06/2024]
Abstract
Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
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Affiliation(s)
| | | | | | - Daniel F Levey
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Gita A Pathak
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nastassja Koen
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - J Michael Gaziano
- Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Heather J Zar
- SAMRC Unit on Child and Adolescent Health, Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
| | - Megan L Campbell
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Bhavi Trivedi
- Blizard Institute, Queen Mary University of London, London, UK
| | - Sarah Finer
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | - Nick Bass
- Division of Psychiatry, UCL, London, UK
| | | | | | | | | | | | - Susan Kanjira
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Po-Hsiu Kuo
- Department of Public Health and Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
- Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Institute of Brain Science and Division of Psychiatry, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Li Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | | | - Roseann E Peterson
- Department of Psychiatry, VCU, Richmond, VA, USA
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Na Cai
- Helmholtz Pioneer Campus, Helmholtz Munich, Neuherberg, Germany
- Computational Health Centre, Helmholtz Munich, Neuherberg, Germany
- Department of Medicine, Technical University of Munich, Munich, Germany
| | - Yu Fang
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Srijan Sen
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Laura J Scott
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Margit Burmeister
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael H Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ky'Era V Actkins
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lea K Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Monica Uddin
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Agaz H Wani
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Allison E Aiello
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robert J Ursano
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jill A Rabinowitz
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brion S Maher
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - George Uhl
- Neurology and Pharmacology, University of Maryland, Maryland VA Healthcare System, Baltimore, MD, USA
| | - William Eaton
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carlos S Cruz-Fuentes
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Gabriela A Martinez-Levy
- Departamento de Genética, Instituto Nacional de Psiquiatría 'Ramón de la Fuente Muñíz', Mexico City, Mexico
| | - Adrian I Campos
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | | | - Yunxuan Jiang
- Department of Biostatistics, Emory University, Atlanta, GA, USA
- 23andMe, Inc., Mountain View, CA, USA
| | - Chao Tian
- 23andMe, Inc., Mountain View, CA, USA
| | - Nicholas G Martin
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Enda M Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Swapnil Awasthi
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Jonathan R I Coleman
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Stephan Ripke
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute for Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Renato Polimanti
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare Center, West Haven, CT, USA
| | - Erin C Dunn
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Murray B Stein
- Department of Psychiatry, UC San Diego School of Medicine, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Joel Gelernter
- Department of Psychiatry, VA CT Healthcare Center, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Cathryn M Lewis
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
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8
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Duan H, Li J, Sun L, Xiong X, Xu S, Sun Y, Ju X, Xue Z, Gao J, Wang Y, Xie H, Ding D, Zhang X, Tang J. Identification of novel loci associated with starch content in maize kernels by a genome-wide association study using an enlarged SNP panel. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:91. [PMID: 38099287 PMCID: PMC10716104 DOI: 10.1007/s11032-023-01437-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 11/24/2023] [Indexed: 12/17/2023]
Abstract
Starch is a major component of cereals, comprising over 70% of dry weight. It serves as a primary carbon source for humans and animals. In addition, starch is an indispensable industrial raw material. While maize (Zea mays) is a key crop and the primary source of starch, the genetic basis for starch content in maize kernels remains poorly understood. In this study, using an enlarged panel, we conducted a genome-wide association study (GWAS) based on best linear unbiased prediction (BLUP) value for starch content of 261 inbred lines across three environments. Compared with previous study, we identified 14 additional significant quantitative trait loci (QTL), encompassed a total of 42 genes, and indicated that increased marker density contributes to improved statistical power. By integrating gene expression profiling, Gene Ontology (GO) enrichment and haplotype analysis, several potential target genes that may play a role in regulating starch content in maize kernels have been identified. Notably, we found that ZmAPC4, associated with the significant SNP chr4.S_175584318, which encodes a WD40 repeat-like superfamily protein and is highly expressed in maize endosperm, might be a crucial regulator of maize kernel starch synthesis. Out of the 261 inbred lines analyzed, they were categorized into four haplotypes. Remarkably, it was observed that the inbred lines harboring hap4 demonstrated the highest starch content compared to the other haplotypes. Additionally, as a significant achievement, we have developed molecular markers that effectively differentiate maize inbred lines based on their starch content. Overall, our study provides valuable insights into the genetic basis of starch content and the molecular markers can be useful in breeding programs aimed at developing maize varieties with high starch content, thereby improving breeding efficiency. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01437-6.
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Affiliation(s)
- Haiyang Duan
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Jianxin Li
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Li Sun
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xuehang Xiong
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Shuhao Xu
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Yan Sun
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xiaolong Ju
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Zhengjie Xue
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Jionghao Gao
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Yan Wang
- Zhucheng Mingjue Tender Company Limited, Weifang, China
| | - Huiling Xie
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- Department of Agronomy, Henan Agricultural University, Agricultural Road No. 63, Zhengzhou, 450002 China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- The Shennong Laboratory, Zhengzhou, China
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9
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Mesías RE, Zaki Y, Guevara CA, Friedman LG, Hussein A, Therrien K, Magee AR, Tzavaras N, Del Valle P, Baxter MG, Huntley GW, Benson DL. Development and cadherin-mediated control of prefrontal corticostriatal projections in mice. iScience 2023; 26:108002. [PMID: 37854688 PMCID: PMC10579443 DOI: 10.1016/j.isci.2023.108002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/07/2023] [Accepted: 09/18/2023] [Indexed: 10/20/2023] Open
Abstract
Action-outcome associations depend on prefrontal cortex (PFC) projections to the dorsal striatum. To assess how these projections form, we measured PFC axon patterning, synapse formation, and functional maturation in the postnatally developing mouse striatum. Using Hotspot analysis, we show that PFC axons form an adult-like pattern of clustered terminations in the first postnatal week that remains largely stable thereafter. PFC-striatal synaptic strength is adult-like by P21, while excitatory synapse density increases until adulthood. We then tested how the targeted deletion of a candidate adhesion/guidance protein, Cadherin-8 (Cdh8), from corticostriatal neurons regulates pathway development. Mutant mice showed diminished PFC axon targeting and reduced spontaneous glutamatergic synaptic activity in the dorsal striatum. They also exhibited impaired behavioral performance in action-outcome learning. The data show that PFC-striatal axons form striatal territories through an early, directed growth model and they highlight essential contributions of Cdh8 to the anatomical and functional features critical for the formation of action-outcome associations.
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Affiliation(s)
- Roxana E. Mesías
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yosif Zaki
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Christopher A. Guevara
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lauren G. Friedman
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ayan Hussein
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karen Therrien
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexandra R. Magee
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nikolaos Tzavaras
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Pamela Del Valle
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mark G. Baxter
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Section on Comparative Medicine, Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - George W. Huntley
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Deanna L. Benson
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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10
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Fleischmann E, Dalkner N, Fellendorf FT, Bengesser SA, Lenger M, Birner A, Queissner R, Platzer M, Tmava-Berisha A, Maget A, Wagner-Skacel J, Stross T, Schmiedhofer F, Smolle S, Painold A, Reininghaus EZ. The Big Five as Predictors of Cognitive Function in Individuals with Bipolar Disorder. Brain Sci 2023; 13:brainsci13050773. [PMID: 37239245 DOI: 10.3390/brainsci13050773] [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: 03/17/2023] [Revised: 04/02/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
The connection between cognitive function and the "Big Five" personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) in the general population is well known; however, studies researching bipolar disorder (BD) are scarce. Therefore, this study aimed to investigate the Big Five as predictors of executive function, verbal memory, attention, and processing speed in euthymic individuals with BD (cross-sectional: n = 129, including time point t1; longitudinal: n = 35, including t1 and t2). Participants completed the NEO Five-Factor Inventory, the Color and Word Interference Test, the Trail Making Test, the d2 Test of Attention Revised, and the California Verbal Learning Test. The results showed a significant negative correlation between executive function and neuroticism at t1. Changes in cognitive function between t1 and t2 did not correlate with and could not be predicted by the Big Five at t1. Additionally, worse executive function at t2 was predicted by higher neuroticism and lower conscientiousness at t1, and high neuroticism was a predictor of worse verbal memory at t2. The Big Five might not strongly impact cognitive function over short periods; however, they are significant predictors of cognitive function. Future studies should include a higher number of participants and more time in between points of measurement.
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Affiliation(s)
- Eva Fleischmann
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Frederike T Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Susanne A Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Melanie Lenger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Robert Queissner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Adelina Tmava-Berisha
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Alexander Maget
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Jolana Wagner-Skacel
- Department of Medical Psychology and Psychotherapy, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Tatjana Stross
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Franziska Schmiedhofer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Stefan Smolle
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Annamaria Painold
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
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11
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Mesías RE, Zaki Y, Guevara CA, Friedman LG, Hussein A, Therrien K, Magee AR, Tzavaras N, Valle PD, Baxter MG, Huntley GW, Benson DL. Development of prefrontal corticostriatal connectivity in mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.14.532475. [PMID: 36993639 PMCID: PMC10054964 DOI: 10.1101/2023.03.14.532475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Rational decision making is grounded in learning to associate actions with outcomes, a process that depends on projections from prefrontal cortex to dorsomedial striatum. Symptoms associated with a variety of human pathological conditions ranging from schizophrenia and autism to Huntington's and Parkinson's disease point toward functional deficits in this projection, but its development is not well understood, making it difficult to investigate how perturbations in development of this circuitry could contribute to pathophysiology. We applied a novel strategy based on Hotspot Analysis to assess the developmental progression of anatomical positioning of prefrontal cortex to striatal projections. Corticostriatal axonal territories established at P7 expand in concert with striatal growth but remain largely unchanged in positioning through adulthood, indicating they are generated by directed, targeted growth and not modified extensively by postnatal experience. Consistent with these findings, corticostriatal synaptogenesis increased steadily from P7 to P56, with no evidence for widescale pruning. As corticostriatal synapse density increased over late postnatal ages, the strength of evoked PFC input onto dorsomedial striatal projection neurons also increased, but spontaneous glutamatergic synaptic activity was stable. Based on its pattern of expression, we asked whether the adhesion protein, Cdh8, influenced this progression. In mice lacking Cdh8 in PFC corticostriatal projection neurons, axon terminal fields in dorsal striatum shifted ventrally. Corticostriatal synaptogenesis was unimpeded, but spontaneous EPSC frequency declined and mice failed to learn to associate an action with an outcome. Collectively these findings show that corticostriatal axons grow to their target zone and are restrained from an early age, do not undergo postnatal synapse pruning as the most dominant models predict, and that a relatively modest shift in terminal arbor positioning and synapse function has an outsized, negative impact on corticostriatal-dependent behavior.
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12
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Zhang P, Yan J, Liu Z, Zhou Q. Impeded frontal-occipital communications during Go/Nogo tasks in humans owing to mental workload. Behav Brain Res 2023; 438:114182. [PMID: 36309243 DOI: 10.1016/j.bbr.2022.114182] [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: 07/16/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 12/05/2022]
Abstract
Human brains rely on oscillatory coupling mechanisms for regulating access to prefrontal cognitive resources, dynamically communicating between the frontal and remote cortex. We worry that communications across cortical regions will be impeded when humans in extreme space environments travel with mental load work, affecting the successful completion of missions. Here, we monitored crews of workers performing a Go/Nogo task in space travel, accompanied by acquisitions of electroencephalography (EEG) signals. These data demonstrated that when the target stimulus suddenly changed to the non-target stimulus, an instantaneous communication mechanism between the frontal and occipital cortex was established by theta-gamma phase-amplitude coupling (PAC). However, this frontal-occipital communication was impeded because of the mental workload of space travel. 86 healthy volunteers who participated in the ground imitation further indicated that mental workload caused decoupled theta-gamma PAC during the Go/Nogo task, impeding frontal-occipital communications and behavioral performance. We also found that the degree of theta-gamma PAC coupling in space was significantly lower than on the ground, indicating that mental workload and other hazards worsen the impeded frontal-occipital communications of humans. These results could guide countermeasures for the inadaptability of humans working in spaceflight.
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Affiliation(s)
- Peng Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - Juan Yan
- China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China
| | - Zhongqi Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China
| | - Qianxiang Zhou
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.
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13
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Zhang P, Yan J, Liu Z, Yu H, Zhao R, Zhou Q. Extreme conditions affect neuronal oscillations of cerebral cortices in humans in the China Space Station and on Earth. Commun Biol 2022; 5:1041. [PMID: 36180522 PMCID: PMC9525319 DOI: 10.1038/s42003-022-04018-z] [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: 04/21/2022] [Accepted: 09/21/2022] [Indexed: 02/06/2023] Open
Abstract
Rhythmical oscillations of neural populations can reflect working memory performance. However, whether neuronal oscillations of the cerebral cortex change in extreme environments, especially in a space station, remains unclear. Here, we recorded electroencephalography (EEG) signals when volunteers and astronauts were executing a memory task in extreme working conditions. Our experiments showed that two extreme conditions affect neuronal oscillations of the cerebral cortex and manifest in different ways. Lengthy periods of mental work impairs the gating mechanism formed by theta-gamma phase-amplitude coupling of two cortical areas, and sleep deprivation disrupts synaptic homeostasis, as reflected by the substantial increase in theta wave activity in the cortical frontal-central area. In addition, we excluded the possibility that nutritional supply or psychological situations caused decoupled theta-gamma phase-amplitude coupling or an imbalance in theta wave activity increase. Therefore, we speculate that the decoupled theta-gamma phase-amplitude coupling detected in astronauts results from their lengthy periods of mental work in the China Space Station. Furthermore, comparing preflight and inflight experiments, we find that long-term spaceflight and other hazards in the space station could worsen this decoupling evolution. This particular neuronal oscillation mechanism in the cerebral cortex could guide countermeasures for the inadaptability of humans working in spaceflight.
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Affiliation(s)
- Peng Zhang
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Juan Yan
- grid.198530.60000 0000 8803 2373China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, 100088 China
| | - Zhongqi Liu
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Hongqiang Yu
- grid.418516.f0000 0004 1791 7464China Astronaut Research and Training Center, Beijing, 100193 China
| | - Rui Zhao
- grid.418516.f0000 0004 1791 7464China Astronaut Research and Training Center, Beijing, 100193 China
| | - Qianxiang Zhou
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
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14
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Li Z, Klein JA, Rampam S, Kurzion R, Campbell NB, Patel Y, Haydar TF, Zeldich E. Asynchronous excitatory neuron development in an isogenic cortical spheroid model of Down syndrome. Front Neurosci 2022; 16:932384. [PMID: 36161168 PMCID: PMC9504873 DOI: 10.3389/fnins.2022.932384] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022] Open
Abstract
The intellectual disability (ID) in Down syndrome (DS) is thought to result from a variety of developmental deficits such as alterations in neural progenitor division, neurogenesis, gliogenesis, cortical architecture, and reduced cortical volume. However, the molecular processes underlying these neurodevelopmental changes are still elusive, preventing an understanding of the mechanistic basis of ID in DS. In this study, we used a pair of isogenic (trisomic and euploid) induced pluripotent stem cell (iPSC) lines to generate cortical spheroids (CS) that model the impact of trisomy 21 on brain development. Cortical spheroids contain neurons, astrocytes, and oligodendrocytes and they are widely used to approximate early neurodevelopment. Using single cell RNA sequencing (scRNA-seq), we uncovered cell type-specific transcriptomic changes in the trisomic CS. In particular, we found that excitatory neuron populations were most affected and that a specific population of cells with a transcriptomic profile resembling layer IV cortical neurons displayed the most profound divergence in developmental trajectory between trisomic and euploid genotypes. We also identified candidate genes potentially driving the developmental asynchrony between trisomic and euploid excitatory neurons. Direct comparison between the current isogenic CS scRNA-seq data and previously published datasets revealed several recurring differentially expressed genes between DS and control samples. Altogether, our study highlights the power and importance of cell type-specific analyses within a defined genetic background, coupled with broader examination of mixed samples, to comprehensively evaluate cellular phenotypes in the context of DS.
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Affiliation(s)
- Zhen Li
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, United States
| | - Jenny A. Klein
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, United States
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States
| | - Sanjeev Rampam
- Department of Biomedical Engineering, Boston University, Boston, MA, United States
| | - Ronni Kurzion
- Department of Chemistry, Boston University, Boston, MA, United States
| | | | - Yesha Patel
- Department of Anatomy and Neurobiology, Boston University, Boston, MA, United States
- Department of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, MA, United States
| | - Tarik F. Haydar
- Center for Neuroscience Research, Children’s National Hospital, Washington, DC, United States
| | - Ella Zeldich
- Department of Anatomy and Neurobiology, Boston University, Boston, MA, United States
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15
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Phenotypes, mechanisms and therapeutics: insights from bipolar disorder GWAS findings. Mol Psychiatry 2022; 27:2927-2939. [PMID: 35351989 DOI: 10.1038/s41380-022-01523-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/02/2022] [Accepted: 03/10/2022] [Indexed: 12/25/2022]
Abstract
Genome-wide association studies (GWAS) have reported substantial genomic loci significantly associated with clinical risk of bipolar disorder (BD), and studies combining techniques of genetics, neuroscience, neuroimaging, and pharmacology are believed to help tackle clinical problems (e.g., identifying novel therapeutic targets). However, translating findings of psychiatric genetics into biological mechanisms underlying BD pathogenesis remains less successful. Biological impacts of majority of BD GWAS risk loci are obscure, and the involvement of many GWAS risk genes in this illness is yet to be investigated. It is thus necessary to review the progress of applying BD GWAS risk genes in the research and intervention of the disorder. A comprehensive literature search found that a number of such risk genes had been investigated in cellular or animal models, even before they were highlighted in BD GWAS. Intriguingly, manipulation of many BD risk genes (e.g., ANK3, CACNA1C, CACNA1B, HOMER1, KCNB1, MCHR1, NCAN, SHANK2 etc.) resulted in altered murine behaviors largely restoring BD clinical manifestations, including mania-like symptoms such as hyperactivity, anxiolytic-like behavior, as well as antidepressant-like behavior, and these abnormalities could be attenuated by mood stabilizers. In addition to recapitulating phenotypic characteristics of BD, some GWAS risk genes further provided clues for the neurobiology of this illness, such as aberrant activation and functional connectivity of brain areas in the limbic system, and modulated dendritic spine morphogenesis as well as synaptic plasticity and transmission. Therefore, BD GWAS risk genes are undoubtedly pivotal resources for modeling this illness, and might be translational therapeutic targets in the future clinical management of BD. We discuss both promising prospects and cautions in utilizing the bulk of useful resources generated by GWAS studies. Systematic integrations of findings from genetic and neuroscience studies are called for to promote our understanding and intervention of BD.
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16
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Wei Y, Zhang D, Zuo Y. Whole-exome sequencing reveals genetic variations in humans with differential sensitivity to sevoflurane:A prospective observational study. Biomed Pharmacother 2022; 148:112724. [PMID: 35202912 DOI: 10.1016/j.biopha.2022.112724] [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: 12/26/2021] [Revised: 02/07/2022] [Accepted: 02/15/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The anesthesia sensitivity is heterogeneous both in animals and humans, while the underlying molecular mechanism has not yet been determined. Here, for the first time, we conducted a prospective observational study to test whether genetic variations contribute to the differential sensitivity to sevoflurane in humans. METHODS Five hundred patients who underwent abdominal surgeries were included. The end-tidal sevoflurane concentration (ETsevo) was adjusted to maintain Bispectral index (BIS) value between 40 and 60. The mean ETsevo from 20 min after endotracheal intubation to 2 h after the beginning of surgery was calculated for each patient. These patients were further divided into high sensitivity group (mean - SD, H group) and low sensitivity group (mean + SD, L group) to investigate the genetic variants related to the differential sensitivity to sevoflurane by whole-exome sequencing (WES) and genome-wide association study (GWAS) in karyocyte from peripheral blood. RESULTS The mean ETsevo of these 500 patients was 1.60% ± 0.34%. After pairing, 55 patients from H group and 59 patients from L group were selected for WES (ETsevo of H group: 1.06% ± 0.13% vs. ETsevo of L group: 2.17% ± 0.16%, P < 0.001), respectively. Finally, FAT atypical cadherin 2 (FAT2, SNP rs174272, rs174271, and rs174261), acireductone dioxygenase 1 (ADI1, SNP rs117278), NEDD4 E3 ubiquitin protein ligase (NEDD4, SNP rs70048, rs70049, and rs70056), and FAD dependent oxidoreductase domain containing 2 (FOXRED2, SNP rs144281) were found to be associated with sevoflurane sensitivity. CONCLUSIONS Genetic variations may contribute to the differential sensitivity to sevoflurane among humans.
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Affiliation(s)
- Yiyong Wei
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Donghang Zhang
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yunxia Zuo
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu 610041, China.
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17
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Borghi R, Magliocca V, Trivisano M, Specchio N, Tartaglia M, Bertini E, Compagnucci C. Modeling PCDH19-CE: From 2D Stem Cell Model to 3D Brain Organoids. Int J Mol Sci 2022; 23:ijms23073506. [PMID: 35408865 PMCID: PMC8998847 DOI: 10.3390/ijms23073506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/16/2022] [Accepted: 03/21/2022] [Indexed: 02/04/2023] Open
Abstract
PCDH19 clustering epilepsy (PCDH19-CE) is a genetic disease characterized by a heterogeneous phenotypic spectrum ranging from focal epilepsy with rare seizures and normal cognitive development to severe drug-resistant epilepsy associated with intellectual disability and autism. Unfortunately, little is known about the pathogenic mechanism underlying this disease and an effective treatment is lacking. Studies with zebrafish and murine models have provided insights on the function of PCDH19 during brain development and how its altered function causes the disease, but these models fail to reproduce the human phenotype. Induced pluripotent stem cell (iPSC) technology has provided a complementary experimental approach for investigating the pathogenic mechanisms implicated in PCDH19-CE during neurogenesis and studying the pathology in a more physiological three-dimensional (3D) environment through the development of brain organoids. We report on recent progress in the development of human brain organoids with a particular focus on how this 3D model may shed light on the pathomechanisms implicated in PCDH19-CE.
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Affiliation(s)
- Rossella Borghi
- Genetics and Rare Diseases Research Division, Bambino Gesù Children’s Research Hospital, IRCCS, 00165 Rome, Italy; (R.B.); (V.M.); (M.T.); (E.B.)
| | - Valentina Magliocca
- Genetics and Rare Diseases Research Division, Bambino Gesù Children’s Research Hospital, IRCCS, 00165 Rome, Italy; (R.B.); (V.M.); (M.T.); (E.B.)
| | - Marina Trivisano
- Department of Neurosciences, Rare and Complex Epilepsy Unit, Division of Neurology, Bambino Gesù Children’s Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165 Rome, Italy; (M.T.); (N.S.)
| | - Nicola Specchio
- Department of Neurosciences, Rare and Complex Epilepsy Unit, Division of Neurology, Bambino Gesù Children’s Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165 Rome, Italy; (M.T.); (N.S.)
| | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Bambino Gesù Children’s Research Hospital, IRCCS, 00165 Rome, Italy; (R.B.); (V.M.); (M.T.); (E.B.)
| | - Enrico Bertini
- Genetics and Rare Diseases Research Division, Bambino Gesù Children’s Research Hospital, IRCCS, 00165 Rome, Italy; (R.B.); (V.M.); (M.T.); (E.B.)
| | - Claudia Compagnucci
- Genetics and Rare Diseases Research Division, Bambino Gesù Children’s Research Hospital, IRCCS, 00165 Rome, Italy; (R.B.); (V.M.); (M.T.); (E.B.)
- Correspondence:
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18
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Aerts T, Seuntjens E. Novel Perspectives on the Development of the Amygdala in Rodents. Front Neuroanat 2021; 15:786679. [PMID: 34955766 PMCID: PMC8696165 DOI: 10.3389/fnana.2021.786679] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/10/2021] [Indexed: 12/14/2022] Open
Abstract
The amygdala is a hyperspecialized brain region composed of strongly inter- and intraconnected nuclei involved in emotional learning and behavior. The cellular heterogeneity of the amygdalar nuclei has complicated straightforward conclusions on their developmental origin, and even resulted in contradictory data. Recently, the concentric ring theory of the pallium and the radial histogenetic model of the pallial amygdala have cleared up several uncertainties that plagued previous models of amygdalar development. Here, we provide an extensive overview on the developmental origin of the nuclei of the amygdaloid complex. Starting from older gene expression data, transplantation and lineage tracing studies, we systematically summarize and reinterpret previous findings in light of the novel perspectives on amygdalar development. In addition, migratory routes that these cells take on their way to the amygdala are explored, and known transcription factors and guidance cues that seemingly drive these cells toward the amygdala are emphasized. We propose some future directions for research on amygdalar development and highlight that a better understanding of its development could prove critical for the treatment of several neurodevelopmental and neuropsychiatric disorders.
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Affiliation(s)
- Tania Aerts
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
| | - Eve Seuntjens
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
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19
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Hudson JD, Tamilselvan E, Sotomayor M, Cooper SR. A complete Protocadherin-19 ectodomain model for evaluating epilepsy-causing mutations and potential protein interaction sites. Structure 2021; 29:1128-1143.e4. [PMID: 34520737 DOI: 10.1016/j.str.2021.07.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 05/22/2021] [Accepted: 07/21/2021] [Indexed: 11/26/2022]
Abstract
Cadherin superfamily members play a critical role in differential adhesion during neurodevelopment, and their disruption has been linked to several neurodevelopmental disorders. Mutations in protocadherin-19 (PCDH19), a member of the δ-protocadherin subfamily of cadherins, cause a unique form of epilepsy called PCDH19 clustering epilepsy. While PCDH19 and other non-clustered δ-protocadherins form multimers with other members of the cadherin superfamily to alter adhesiveness, the specific protein surfaces responsible for these interactions are unknown. Only portions of the PCDH19 extracellular domain structure had been solved previously. Here, we present a structure of the missing segment from zebrafish Protocadherin-19 (Pcdh19) and create a complete ectodomain model. This model shows the structural environment for 97% of disease-causing missense mutations and reveals two potential surfaces for intermolecular interactions that could modify Pcdh19's adhesive strength and specificity.
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Affiliation(s)
- Jonathan D Hudson
- Department of Science and Mathematics, Cedarville University, 251 N. Main Street, Cedarville, OH 45314, USA
| | - Elakkiya Tamilselvan
- Department of Chemistry and Biochemistry, The Ohio State University, 484 W. 12th Avenue, Columbus, OH 43210, USA; Biophysics Graduate Program, The Ohio State University, 484 W. 12th Avenue, Columbus, OH 43210, USA
| | - Marcos Sotomayor
- Department of Chemistry and Biochemistry, The Ohio State University, 484 W. 12th Avenue, Columbus, OH 43210, USA; Biophysics Graduate Program, The Ohio State University, 484 W. 12th Avenue, Columbus, OH 43210, USA
| | - Sharon R Cooper
- Department of Science and Mathematics, Cedarville University, 251 N. Main Street, Cedarville, OH 45314, USA.
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20
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Liu Y, Wei K, Cao X, Jiang L, Gu N, Feng L, Li C. Development and Validation of a Nomogram Based on Motoric Cognitive Risk Syndrome for Cognitive Impairment. Front Aging Neurosci 2021; 13:618833. [PMID: 33935682 PMCID: PMC8086554 DOI: 10.3389/fnagi.2021.618833] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 02/26/2021] [Indexed: 11/13/2022] Open
Abstract
Objective To develop and validate a prediction nomogram based on motoric cognitive risk syndrome for cognitive impairment in healthy older adults. Methods Using two longitudinal cohorts of participants (aged ≥ 60 years) with 4-year follow-up, we developed (n = 1,177) and validated (n = 2,076) a prediction nomogram. LASSO (least absolute shrinkage and selection operator) regression model and multivariable Cox regression analysis were used for variable selection and for developing the prediction model, respectively. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Results The individualized prediction nomogram was assessed based on the following: motoric cognitive risk syndrome, education, gender, baseline cognition, and age. The model showed good discrimination [Harrell’s concordance index (C-index) of 0.814; 95% confidence interval, 0.782–0.835] and good calibration. Comparable results were also seen in the validation cohort, which includes good discrimination (C-index, 0.772; 95% confidence interval, 0.776–0.818) and good calibration. Decision curve analysis demonstrated that the prediction nomogram was clinically useful. Conclusion This prediction nomogram provides a practical tool with all necessary predictors, which are accessible to practitioners. It can be used to estimate the risk of cognitive impairment in healthy older adults.
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Affiliation(s)
- Yong Liu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyi Cao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Clinical Neurocognitive Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lijuan Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nannan Gu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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21
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Risal S, Manti M, Lu H, Fornes R, Larsson H, Benrick A, Deng Q, Cesta CE, Rosenqvist MA, Stener-Victorin E. Prenatal androgen exposure causes a sexually dimorphic transgenerational increase in offspring susceptibility to anxiety disorders. Transl Psychiatry 2021; 11:45. [PMID: 33441551 PMCID: PMC7806675 DOI: 10.1038/s41398-020-01183-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/30/2020] [Accepted: 12/15/2020] [Indexed: 12/11/2022] Open
Abstract
If and how obesity and elevated androgens in women with polycystic ovary syndrome (PCOS) affect their offspring's psychiatric health is unclear. Using data from Swedish population health registers, we showed that daughters of mothers with PCOS have a 78% increased risk of being diagnosed with anxiety disorders. We next generated a PCOS-like mouse (F0) model induced by androgen exposure during late gestation, with or without diet-induced maternal obesity, and showed that the first generation (F1) female offspring develop anxiety-like behavior, which is transgenerationally transmitted through the female germline into the third generation of female offspring (F3) in the androgenized lineage. In contrast, following the male germline, F3 male offspring (mF3) displayed anxiety-like behavior in the androgenized and the obese lineages. Using a targeted approach to search for molecular targets within the amygdala, we identified five differentially expressed genes involved in anxiety-like behavior in F3 females in the androgenized lineage and eight genes in the obese lineage. In mF3 male offspring, three genes were dysregulated in the obese lineage but none in the androgenized lineage. Finally, we performed in vitro fertilization (IVF) using a PCOS mouse model of continuous androgen exposure. We showed that the IVF generated F1 and F2 offspring in the female germline did not develop anxiety-like behavior, while the F2 male offspring (mF2) in the male germline did. Our findings provide evidence that elevated maternal androgens in PCOS and maternal obesity may underlie the risk of a transgenerational transmission of anxiety disorders in children of women with PCOS.
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Affiliation(s)
- Sanjiv Risal
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Maria Manti
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Haojiang Lu
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Romina Fornes
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ,grid.15895.300000 0001 0738 8966School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Anna Benrick
- grid.8761.80000 0000 9919 9582Department of Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden ,grid.412798.10000 0001 2254 0954School of Health Sciences, University of Skövde, Skövde, Sweden
| | - Qiaolin Deng
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Carolyn E. Cesta
- grid.4714.60000 0004 1937 0626Department of Medicine, Solna, Centre for Pharmacoepidemiology, Karolinska Institutet, Stockholm, Sweden
| | - Mina A. Rosenqvist
- grid.15895.300000 0001 0738 8966School of Medical Sciences, Örebro University, Örebro, Sweden
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22
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Precision Psychiatry: Biomarker-Guided Tailored Therapy for Effective Treatment and Prevention in Major Depression. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1305:535-563. [PMID: 33834417 DOI: 10.1007/978-981-33-6044-0_27] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Depression contributes greatly to global disability and is a leading cause of suicide. It has multiple etiologies and therefore response to treatment can vary significantly. By applying the concepts of personalized medicine, precision psychiatry attempts to optimize psychiatric patient care by better predicting which individuals will develop an illness, by giving a more accurate biologically based diagnosis, and by utilizing more effective treatments based on an individual's biological characteristics (biomarkers). In this chapter, we discuss the basic principles underlying the role of biomarkers in psychiatric pathology and then explore multiple biomarkers that are specific to depression. These include endophenotypes, gene variants/polymorphisms, epigenetic factors such as methylation, biochemical measures, circadian rhythm dysregulation, and neuroimaging findings. We also examine the role of early childhood trauma in the development of, and treatment response to, depression. In addition, we review how new developments in technology may play a greater role in the determination of new biomarkers for depression.
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23
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Right Place at the Right Time: How Changes in Protocadherins Affect Synaptic Connections Contributing to the Etiology of Neurodevelopmental Disorders. Cells 2020; 9:cells9122711. [PMID: 33352832 PMCID: PMC7766791 DOI: 10.3390/cells9122711] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 11/17/2022] Open
Abstract
During brain development, neurons need to form the correct connections with one another in order to give rise to a functional neuronal circuitry. Mistakes during this process, leading to the formation of improper neuronal connectivity, can result in a number of brain abnormalities and impairments collectively referred to as neurodevelopmental disorders. Cell adhesion molecules (CAMs), present on the cell surface, take part in the neurodevelopmental process regulating migration and recognition of specific cells to form functional neuronal assemblies. Among CAMs, the members of the protocadherin (PCDH) group stand out because they are involved in cell adhesion, neurite initiation and outgrowth, axon pathfinding and fasciculation, and synapse formation and stabilization. Given the critical role of these macromolecules in the major neurodevelopmental processes, it is not surprising that clinical and basic research in the past two decades has identified several PCDH genes as responsible for a large fraction of neurodevelopmental disorders. In the present article, we review these findings with a focus on the non-clustered PCDH sub-group, discussing the proteins implicated in the main neurodevelopmental disorders.
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24
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An epigenome-wide association study of early-onset major depression in monozygotic twins. Transl Psychiatry 2020; 10:301. [PMID: 32843619 PMCID: PMC7447798 DOI: 10.1038/s41398-020-00984-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 06/18/2020] [Accepted: 07/22/2020] [Indexed: 12/20/2022] Open
Abstract
Major depression (MD) is a debilitating mental health condition with peak prevalence occurring early in life. Genome-wide examination of DNA methylation (DNAm) offers an attractive complement to studies of allelic risk given it can reflect the combined influence of genes and environment. The current study used monozygotic twins to identify differentially and variably methylated regions of the genome that distinguish twins with and without a lifetime history of early-onset MD. The sample included 150 Caucasian monozygotic twins between the ages of 15 and 20 (73% female; Mage = 17.52 SD = 1.28) who were assessed during a developmental stage characterized by relatively distinct neurophysiological changes. All twins were generally healthy and currently free of medications with psychotropic effects. DNAm was measured in peripheral blood cells using the Infinium Human BeadChip 450 K Array. MD associations with early-onset MD were detected at 760 differentially and variably methylated probes/regions that mapped to 428 genes. Genes and genomic regions involved neural circuitry formation, projection, functioning, and plasticity. Gene enrichment analyses implicated genes related to neuron structures and neurodevelopmental processes including cell-cell adhesion genes (e.g., PCDHA genes). Genes previously implicated in mood and psychiatric disorders as well as chronic stress (e.g., NRG3) also were identified. DNAm regions associated with early-onset MD were found to overlap genetic loci identified in the latest Psychiatric Genomics Consortium meta-analysis of depression. Understanding the time course of epigenetic influences during emerging adulthood may clarify developmental phases where changes in the DNA methylome may modulate individual differences in MD risk.
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PCDH7 interacts with GluN1 and regulates dendritic spine morphology and synaptic function. Sci Rep 2020; 10:10951. [PMID: 32616769 PMCID: PMC7331671 DOI: 10.1038/s41598-020-67831-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 06/12/2020] [Indexed: 01/28/2023] Open
Abstract
The N-terminal domain (NTD) of the GluN1 subunit (GluN1-NTD) is important for NMDA receptor structure and function, but the interacting proteins of the GluN1-NTD are not well understood. Starting with an unbiased screen of ~ 1,500 transmembrane proteins using the purified GluN1-NTD protein as a bait, we identify Protocadherin 7 (PCDH7) as a potential interacting protein. PCDH7 is highly expressed in the brain and has been linked to CNS disorders, including epilepsy. Using primary neurons and brain slice cultures, we find that overexpression and knockdown of PCDH7 induce opposing morphological changes of dendritic structures. We also find that PCDH7 overexpression reduces synaptic NMDA receptor currents. These data show that PCDH7 can regulate dendritic spine morphology and synaptic function, possibly via interaction with the GluN1 subunit.
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Pancho A, Aerts T, Mitsogiannis MD, Seuntjens E. Protocadherins at the Crossroad of Signaling Pathways. Front Mol Neurosci 2020; 13:117. [PMID: 32694982 PMCID: PMC7339444 DOI: 10.3389/fnmol.2020.00117] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/08/2020] [Indexed: 12/25/2022] Open
Abstract
Protocadherins (Pcdhs) are cell adhesion molecules that belong to the cadherin superfamily, and are subdivided into clustered (cPcdhs) and non-clustered Pcdhs (ncPcdhs) in vertebrates. In this review, we summarize their discovery, expression mechanisms, and roles in neuronal development and cancer, thereby highlighting the context-dependent nature of their actions. We furthermore provide an extensive overview of current structural knowledge, and its implications concerning extracellular interactions between cPcdhs, ncPcdhs, and classical cadherins. Next, we survey the known molecular action mechanisms of Pcdhs, emphasizing the regulatory functions of proteolytic processing and domain shedding. In addition, we outline the importance of Pcdh intracellular domains in the regulation of downstream signaling cascades, and we describe putative Pcdh interactions with intracellular molecules including components of the WAVE complex, the Wnt pathway, and apoptotic cascades. Our overview combines molecular interaction data from different contexts, such as neural development and cancer. This comprehensive approach reveals potential common Pcdh signaling hubs, and points out future directions for research. Functional studies of such key factors within the context of neural development might yield innovative insights into the molecular etiology of Pcdh-related neurodevelopmental disorders.
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Affiliation(s)
- Anna Pancho
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
| | - Tania Aerts
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
| | - Manuela D Mitsogiannis
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
| | - Eve Seuntjens
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven, Belgium
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Rao S, Luo N, Sui J, Xu Q, Zhang F. Effect of the SIRT1 gene on regional cortical grey matter density in the Han Chinese population. Br J Psychiatry 2020; 216:254-258. [PMID: 30567608 DOI: 10.1192/bjp.2018.270] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Our previous genome-wide association study (CONVERGE sample) identified significant association between single nucleotide polymorphisms (SNPs) near the SIRT1 gene and major depressive disorder (MDD) in Chinese populations. AIMS To investigate whether SNPs across the SIRT1 gene locus affect regional grey matter density in the Han Chinese population. METHOD T1-weighted structural magnetic resonance imaging was conducted on 92 healthy participants from Eastern China. Grey matter was segmented from the image, which consisted of voxel-wise grey matter density. The effect of SIRT1 SNPs on grey matter density was determined by a multiple linear regression framework. RESULTS SNP rs4746720 was significantly associated with grey matter density in two brain cortical regions: the orbital part of the right inferior frontal gyrus and the orbital part of the left inferior frontal gyrus (family-wise error-corrected P < 0.05; voxel-wise P < 0.001). Also, rs4746720 exceeded genome-wide significance in association with MDD in our CONVERGE sample (P = 3.32 × 10-08, odds ratio 1.161). CONCLUSIONS Our results provided evidence for a potential role of the SIRT1 gene in the brain, implying a possible pathophysiological mechanism underlying susceptibility to MDD.
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Affiliation(s)
- Shuquan Rao
- Assistant Professor, School of Life Science and Engineering, Southwest Jiaotong University, China
| | - Na Luo
- Candidate, Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences, China
| | - Jing Sui
- Professor, Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences, China; The Mind Research Network, USA; and CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, China
| | - Qi Xu
- Professor, National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and Peking Union Medical College, Tsinghua University, China
| | - Fuquan Zhang
- Professor, Wuxi Mental Health Center, Nanjing Medical University, China
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Neurodevelopmental pathways in bipolar disorder. Neurosci Biobehav Rev 2020; 112:213-226. [PMID: 32035092 DOI: 10.1016/j.neubiorev.2020.02.005] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 01/03/2020] [Accepted: 02/04/2020] [Indexed: 12/14/2022]
Abstract
Aberrations in neurodevelopmental trajectories have been implicated in the neurobiology of several mental disorders and evidence indicates a pathophysiological and genetic overlap of schizophrenia and bipolar disorder (BD). In this narrative review, we summarize findings related to developmental and perinatal factors as well as epidemiological, clinical, neuropsychological, brain imaging, postmortem brain and genomic studies that provide evidence for a putative neurodevelopmental pathogenesis and etiology of BD. Overall, aberrations in neurodevelopmental pathways have been more consistently implicated in the pathophysiology of schizophrenia compared to BD. Nevertheless, an accumulating body of evidence indicates that dysfunctional neurodevelopmental pathways may be implicated in the underlying pathophysiology of at least a subset of individuals with BD particularly those with an early age of illness onset and those exhibiting psychotic symptoms. A heuristic neurodevelopmental model for the pathophysiology of BD based on the findings of this review is proposed. Furthermore, we critically discuss clinical and research implications of this model. Finally, further research directions for this emerging field are provided.
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The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine. Mol Psychiatry 2020; 25:48-66. [PMID: 31723243 DOI: 10.1038/s41380-019-0592-0] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022]
Abstract
Schizophrenia and bipolar disorder (BPD) are believed to share clinical features, etiological factors, and disease pathologies (such as impaired cognitive functions and dendritic spine pathology). Meanwhile, there is growing evidence of shared genetic risk between schizophrenia and BPD, despite that our knowledge of the functional risk variations and biological mechanisms is still limited. Here, we conduct summary data-based Mendelian randomization (SMR) analyses through combining the statistical data from genome-wide association studies (GWAS) of both schizophrenia and BPD and multiple expression quantitative trait loci (eQTL) datasets of the human brain dorsolateral prefrontal cortex (DLPFC) tissues. These integrative investigations identify a lead risk locus at the chromosome 3p21.1 region, which contains numerous single-nucleotide polymorphisms (SNPs) in varied linkage disequilibrium (LD) and encompasses more than 20 genes. Further analyses suggest that many SNPs at 3p21.1 are significantly associated with both schizophrenia and BPD, and even depression, and the psychiatric risk alleles at 3p21.1 are correlated with mRNA expression of multiple genes such as NEK4, GNL3, and PBRM1. We also identify a 335-bp functional Alu polymorphism rs71052682 in significant LD with the psychiatric GWAS risk SNP rs2251219, and confirm the regulatory effects of this Alu polymorphism on transcription activities. We then explore the involvement of the 3p21.1 locus in the common clinical features and etiology of these illnesses. We reveal that psychiatric risk alleles at 3p21.1 in low-to-high LD consistently predict worse cognitive functions in humans, and manipulating the gene expression (NEK4, GNL3, and PBRM1) linked with higher genetic risk could reduce the density of mushroom dendritic spines in rat primary cortical neurons, mirroring the spine pathology in the prefrontal cortex of psychiatric patients. Our results find that, although the risk alleles at 3p21.1 are in low-to-moderate LD spanning a large genomic area, their underlying biological mechanisms in psychiatric disorders likely converge. These results provide essential insights into the neural mechanisms underlying the chromosome 3p21.1 risk locus in the shared pathological and etiological features of both schizophrenia and BPD.
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Liu W, Yan H, Zhou D, Cai X, Zhang Y, Li S, Li H, Li S, Zhou DS, Li X, Zhang C, Sun Y, Dai JP, Zhong J, Yao YG, Luo XJ, Fang Y, Zhang D, Ma Y, Yue W, Li M, Xiao X. The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. Transl Psychiatry 2019; 9:333. [PMID: 31819045 PMCID: PMC6901563 DOI: 10.1038/s41398-019-0675-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/19/2019] [Accepted: 11/27/2019] [Indexed: 12/28/2022] Open
Abstract
Major depressive disorder (MDD) is recognized as a primary cause of disability worldwide, and effective management of this illness has been a great challenge. While genetic component is supposed to play pivotal roles in MDD pathogenesis, the genetic and phenotypic heterogeneity of the illness has hampered the discovery of its genetic determinants. In this study, in an independent Han Chinese sample (1824 MDD cases and 3031 controls), we conducted replication analyses of two genetic loci highlighted in a previous Chinese MDD genome-wide association study (GWAS), and confirmed the significant association of a single nucleotide polymorphism (SNP) rs12415800 near SIRT1. Subsequently, using hypothesis-free whole-brain analysis in two independent Han Chinese imaging samples, we found that individuals carrying the MDD risk allele of rs12415800 exhibited aberrant gray matter volume in the left posterior cerebellar lobe compared with those carrying the non-risk allele. Besides, in independent Han Chinese postmortem brain and peripheral blood samples, the MDD risk allele of rs12415800 predicted lower SIRT1 mRNA levels, which was consistent with the reduced expression of this gene in MDD patients compared with healthy subjects. These results provide further evidence for the involvement of SIRT1 in MDD, and suggest that this gene might participate in the illness via affecting the development of cerebellum, a brain region that is potentially underestimated in previous MDD studies.
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Affiliation(s)
- Weipeng Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Danyang Zhou
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shiyi Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Huijuan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Dong-Sheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Xingxing Li
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Chen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Sun
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, Hubei, China
- Chinese Brain Bank Center, Wuhan, Hubei, China
| | - Jia-Pei Dai
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, Hubei, China
- Chinese Brain Bank Center, Wuhan, Hubei, China
| | - Jingmei Zhong
- Psychiatry Department, The first people's hospital of Yunnan province, Kunming, Yunnan, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yiru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Weihua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
- Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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Yang Z, Zhang S, Zhang F, Yao Y, Kim K, Meyre D, Zhang H, Liao H, Rao S, Huang X. Allelic frequency differences of DAOA variants between Caucasians and Asians and their association with major mood disorders. Signal Transduct Target Ther 2019; 4:39. [PMID: 31637017 PMCID: PMC6799844 DOI: 10.1038/s41392-019-0066-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 07/03/2019] [Accepted: 07/18/2019] [Indexed: 11/10/2022] Open
Affiliation(s)
- Zhihua Yang
- School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031 China
| | - Shuang Zhang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 China
| | - Fuquan Zhang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, 214151 China
| | - Yao Yao
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 10005 China
| | - Kwangwoo Kim
- Department of Biology, Kyung Hee University, Seoul, 02447 Korea
| | - David Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1 Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON L8S 4K1 Canada
| | - Hongmei Zhang
- Department of Biology, Georgia State University, Atlanta, GA 30303 USA
| | - Hai Liao
- School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031 China
| | - Shuquan Rao
- School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031 China
| | - Xinhe Huang
- School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031 China
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Abstract
The acquisition of associated signals is commonly seen in life. The integrative storage of these exogenous and endogenous signals is essential for cognition, emotion and behaviors. In terms of basic units of memory traces or engrams, associative memory cells are recruited in the brain during learning, cognition and emotional reactions. The recruitment and refinement of associative memory cells facilitate the retrieval of memory-relevant events and the learning of reorganized unitary signals that have been acquired. The recruitment of associative memory cells is fulfilled by generating mutual synapse innervations among them in coactivated brain regions. Their axons innervate downstream neurons convergently and divergently to recruit secondary associative memory cells. Mutual synapse innervations among associative memory cells confer the integrative storage and reciprocal retrieval of associated signals. Their convergent synapse innervations to secondary associative memory cells endorse integrative cognition. Their divergent innervations to secondary associative memory cells grant multiple applications of associated signals. Associative memory cells in memory traces are defined to be nerve cells that are able to encode multiple learned signals and receive synapse innervations carrying these signals. An impairment in the recruitment and refinement of associative memory cells will lead to the memory deficit associated with neurological diseases and psychological disorders. This review presents a comprehensive diagram for the recruitment and refinement of associative memory cells for memory-relevant events in a lifetime.
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Affiliation(s)
- Jin-Hui Wang
- College of Life Sciences, Chinese Academy of Sciences, Beijing, 100049, China
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34
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Rahul DR, Ponniah RJ. Decoding the biology of language and its implications in language acquisition. J Biosci 2019; 44:25. [PMID: 30837376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Associating human genetic makeup with the faculty of language has long been a goal for biolinguistics. This stimulated the idea that language is attributed to genes and language disabilities are caused by genetic mutations. However, application of genetic knowledge on language intervention is still a gap in the existing literature. In an effort to bridge this gap, this article presents an account of genetic and neural associations of language and synthesizes the genetic, neural, epigenetic and environmental facets involved in language. In addition to describing the association of genes with language, the neural and epigenetic aspects of language are also explored. Further, the environmental aspects of language such as language input, emotion and cognition are also traced back to gene expressions. Therefore, effective language intervention for language learning difficulties must offer genetics-informed solutions, both linguistic and medical.
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Affiliation(s)
- D R Rahul
- National Institute of Technology, Tiruchirappalli, Tamil Nadu, India
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Bisogni AJ, Ghazanfar S, Williams EO, Marsh HM, Yang JYH, Lin DM. Tuning of delta-protocadherin adhesion through combinatorial diversity. eLife 2018; 7:e41050. [PMID: 30547884 PMCID: PMC6326727 DOI: 10.7554/elife.41050] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 12/11/2018] [Indexed: 12/21/2022] Open
Abstract
The delta-protocadherins (δ-Pcdhs) play key roles in neural development, and expression studies suggest they are expressed in combination within neurons. The extent of this combinatorial diversity, and how these combinations influence cell adhesion, is poorly understood. We show that individual mouse olfactory sensory neurons express 0-7 δ-Pcdhs. Despite this apparent combinatorial complexity, K562 cell aggregation assays revealed simple principles that mediate tuning of δ-Pcdh adhesion. Cells can vary the number of δ-Pcdhs expressed, the level of surface expression, and which δ-Pcdhs are expressed, as different members possess distinct apparent adhesive affinities. These principles contrast with those identified previously for the clustered protocadherins (cPcdhs), where the particular combination of cPcdhs expressed does not appear to be a critical factor. Despite these differences, we show δ-Pcdhs can modify cPcdh adhesion. Our studies show how intra- and interfamily interactions can greatly amplify the impact of this small subfamily on neuronal function.
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Affiliation(s)
- Adam J Bisogni
- Department of Biomedical SciencesCornell UniversityIthacaUnited States
| | - Shila Ghazanfar
- School of Mathematics and StatisticsThe University of SydneySydneyAustralia
| | - Eric O Williams
- Department of Biomedical SciencesCornell UniversityIthacaUnited States
- Department of Biology and ChemistryFitchburg State UniversityFitchburgUnited States
| | - Heather M Marsh
- Department of Biomedical SciencesCornell UniversityIthacaUnited States
| | - Jean YH Yang
- School of Mathematics and StatisticsThe University of SydneySydneyAustralia
| | - David M Lin
- Department of Biomedical SciencesCornell UniversityIthacaUnited States
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Sriganesh R, Joseph Ponniah R. Genetics of language and its implications on language interventions. J Genet 2018; 97:1485-1491. [PMID: 30555099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Genetic variation of language genes affect neurophysiology of brain and can thus influence the way people respond to environmental language input, leading to differences in terms of their response to environmental language learning. Conversely, language learning environment too can affect gene expressions through neuroepigenetic mechanisms, leading to increasedinterindividual differences. Further, language-related cognitive processes such as learning, working memory and perception; and language-related affective factors such as stress and positive emotion involve neuroplasticity, which is also epigenetically regulated. Language intervention methods must understand the extent and the type of difficulties, and must offer personalized learning andmedical solutions. Medical intervention in terms of epigenetics and neurotransmitter regulation is proposed in addition to effectiveteaching methods to aid in effective language acquisition.
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Luo M, Sun G, Sun JW. MiR-196b affects the progression and prognosis of human LSCC through targeting PCDH-17. Auris Nasus Larynx 2018; 46:583-592. [PMID: 30454973 DOI: 10.1016/j.anl.2018.10.020] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 10/09/2018] [Accepted: 10/30/2018] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To explore the effect of miR-196bon the biological features of human laryngeal squamous cell carcinoma (LSCC) through targeting PCDH-17. METHODS miR-196b and PCDH-17 expressions were determined in tissues, and the targeting relation of miR-196b and PCDH-17 was verified through dual-luciferase reporter system. In vitro, Hep-2 cells were divided into the Control, miR-196b inhibitors, miR-NC, PCDH-17, and miR-196b mimics+PCDH-17 groups. The miR-196b and PCDH-17 expressions were determined by qRT-PCR or/and Western blot, and the biological features by MTT, Annexin V-FITC/PI, wound-healing and Transwell assays. RESULTS MiR-196b was found to be up-regulated, while PCDH-17 was down-regulated in a negative correlation in LSCC patients, which was related to histological grade and TNM stage. And low expression of miR-196b and high expression of PCDH-17 contributed to an increase in the 5-year-survival rate of LSCC patients. Besides, miR-196b directly targeted PCDH-17, while miR-196b inhibitors could up-regulate the PCDH-17 in Hep-2 cells. Moreover, miR-196b inhibitors and PCDH-17 curbed Hep-2 cell proliferation but facilitated the apoptosis, with decreases in cell invasion and migration. In addition, no statistical significance was found in cell proliferation, apoptosis, invasion and migration between Control group and miR-196b mimics+PCDH-17 group. CONCLUSION LSCC patients exhibited the up-regulated miR-196b and down-regulated PCDH-17, which are correlated with the major clinical features and prognosis. Inhibiting miR-196b may suppress proliferation, migration and invasion abilities, and promote apoptosis of Hep-2 cells via targeting PCDH-17.
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Affiliation(s)
- Min Luo
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Provincial Hospital of Medical University of Anhui, Hefei 230001, Anhui, China
| | - Gang Sun
- Department of Otorhinolaryngology Head and Neck Surgery, Chaohu Hospital Affiliated to Medical University of Anhui, Chaohu 238000, Anhui, China
| | - Jing-Wu Sun
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Provincial Hospital of Medical University of Anhui, Hefei 230001, Anhui, China.
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Guemez-Gamboa A, Çağlayan AO, Stanley V, Gregor A, Zaki MS, Saleem SN, Musaev D, McEvoy-Venneri J, Belandres D, Akizu N, Silhavy JL, Schroth J, Rosti RO, Copeland B, Lewis SM, Fang R, Issa MY, Per H, Gumus H, Bayram AK, Kumandas S, Akgumus GT, Erson-Omay EZ, Yasuno K, Bilguvar K, Heimer G, Pillar N, Shomron N, Weissglas-Volkov D, Porat Y, Einhorn Y, Gabriel S, Ben-Zeev B, Gunel M, Gleeson JG. Loss of Protocadherin-12 Leads to Diencephalic-Mesencephalic Junction Dysplasia Syndrome. Ann Neurol 2018; 84:638-647. [PMID: 30178464 PMCID: PMC6510237 DOI: 10.1002/ana.25327] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 08/27/2018] [Accepted: 08/29/2018] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To identify causes of the autosomal-recessive malformation, diencephalic-mesencephalic junction dysplasia (DMJD) syndrome. METHODS Eight families with DMJD were studied by whole-exome or targeted sequencing, with detailed clinical and radiological characterization. Patient-derived induced pluripotent stem cells were derived into neural precursor and endothelial cells to study gene expression. RESULTS All patients showed biallelic mutations in the nonclustered protocadherin-12 (PCDH12) gene. The characteristic clinical presentation included progressive microcephaly, craniofacial dysmorphism, psychomotor disability, epilepsy, and axial hypotonia with variable appendicular spasticity. Brain imaging showed brainstem malformations and with frequent thinned corpus callosum with punctate brain calcifications, reflecting expression of PCDH12 in neural and endothelial cells. These cells showed lack of PCDH12 expression and impaired neurite outgrowth. INTERPRETATION DMJD patients have biallelic mutations in PCDH12 and lack of protein expression. These patients present with characteristic microcephaly and abnormalities of white matter tracts. Such pathogenic variants predict a poor outcome as a result of brainstem malformation and evidence of white matter tract defects, and should be added to the phenotypic spectrum associated with PCDH12-related conditions. Ann Neurol 2018;84:646-655.
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Affiliation(s)
- Alicia Guemez-Gamboa
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | | | - Valentina Stanley
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Anne Gregor
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | - Maha S Zaki
- Department of Clinical Genetics, National Research Centre, Cairo, Egypt
| | - Sahar N Saleem
- Radiology Department-Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Damir Musaev
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | | | - Denice Belandres
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Naiara Akizu
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Jennifer L Silhavy
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Jana Schroth
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Rasim Ozgur Rosti
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | - Brett Copeland
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | - Steven M Lewis
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | - Rebecca Fang
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
| | - Mahmoud Y Issa
- Department of Clinical Genetics, National Research Centre, Cairo, Egypt
| | - Huseyin Per
- Department of Paediatrics, Division of Paediatric Neurology, School of Medicine, Erciyes University, Kayseri, Turkey
| | - Hakan Gumus
- Department of Paediatrics, Division of Paediatric Neurology, School of Medicine, Erciyes University, Kayseri, Turkey
| | - Ayse Kacar Bayram
- Department of Paediatrics, Division of Paediatric Neurology, School of Medicine, Erciyes University, Kayseri, Turkey
| | - Sefer Kumandas
- Department of Paediatrics, Division of Paediatric Neurology, School of Medicine, Erciyes University, Kayseri, Turkey
| | - Gozde Tugce Akgumus
- Departments of Neurosurgery, Neurobiology and Genetics, Yale School of Medicine, New Haven, CT
| | - Emine Z Erson-Omay
- Departments of Neurosurgery, Neurobiology and Genetics, Yale School of Medicine, New Haven, CT
| | - Katsuhito Yasuno
- Departments of Neurosurgery, Neurobiology and Genetics, Yale School of Medicine, New Haven, CT
| | - Kaya Bilguvar
- Departments of Neurosurgery, Neurobiology and Genetics, Yale School of Medicine, New Haven, CT
| | - Gali Heimer
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nir Pillar
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Noam Shomron
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | | | | | - Stacey Gabriel
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
| | - Bruria Ben-Zeev
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Murat Gunel
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT
| | - Joseph G Gleeson
- Howard Hughes Medical Institute, Laboratory for Pediatric Brain Disease, Rockefeller University, New York, NY
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
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40
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Bovio PP, Franz H, Heidrich S, Rauleac T, Kilpert F, Manke T, Vogel T. Differential Methylation of H3K79 Reveals DOT1L Target Genes and Function in the Cerebellum In Vivo. Mol Neurobiol 2018; 56:4273-4287. [PMID: 30302725 PMCID: PMC6505521 DOI: 10.1007/s12035-018-1377-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 10/01/2018] [Indexed: 12/21/2022]
Abstract
The disruptor of telomeric silencing 1-like (DOT1L) mediates methylation of histone H3 at position lysine 79 (H3K79). Conditional knockout of Dot1l in mouse cerebellar granule cells (Dot1l-cKOAtoh1) led to a smaller external granular layer with fewer precursors of granule neurons. Dot1l-cKOAtoh1 mice had impaired proliferation and differentiation of granular progenitors, which resulted in a smaller cerebellum. Mutant mice showed mild ataxia in motor behavior tests. In contrast, Purkinje cell-specific conditional knockout mice showed no obvious phenotype. Genome-wide transcription analysis of Dot1l-cKOAtoh1 cerebella using microarrays revealed changes in genes that function in cell cycle, cell migration, axon guidance, and metabolism. To identify direct DOT1L target genes, we used genome-wide profiling of H3K79me2 and transcriptional analysis. Analysis of differentially methylated regions (DR) and differentially expressed genes (DE) revealed in total 12 putative DOT1L target genes in Dot1l-cKOAtoh1 affecting signaling (Tnfaip8l3, B3galt5), transcription (Otx1), cell migration and axon guidance (Sema4a, Sema5a, Robo1), cholesterol and lipid metabolism (Lss, Cyp51), cell cycle (Cdkn1a), calcium-dependent cell-adhesion or exocytosis (Pcdh17, Cadps2), and unknown function (Fam174b). Dysregulated expression of these target genes might be implicated in the ataxia phenotype observed in Dot1l-cKOAtoh1.
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Affiliation(s)
- Patrick Piero Bovio
- Institute for Anatomy and Cell Biology, Department of Molecular Embryology, Medical Faculty, University of Freiburg, 79104, Freiburg, Germany.,Faculty of Biology, University of Freiburg, 79104, Freiburg, Germany
| | - Henriette Franz
- Institute for Anatomy and Cell Biology, Department of Molecular Embryology, Medical Faculty, University of Freiburg, 79104, Freiburg, Germany
| | - Stefanie Heidrich
- Institute for Anatomy and Cell Biology, Department of Molecular Embryology, Medical Faculty, University of Freiburg, 79104, Freiburg, Germany
| | - Tudor Rauleac
- Institute for Anatomy and Cell Biology, Department of Molecular Embryology, Medical Faculty, University of Freiburg, 79104, Freiburg, Germany
| | - Fabian Kilpert
- Max Planck Institute of Immunobiology and Epigenetics, 79108, Freiburg, Germany
| | - Thomas Manke
- Max Planck Institute of Immunobiology and Epigenetics, 79108, Freiburg, Germany
| | - Tanja Vogel
- Institute for Anatomy and Cell Biology, Department of Molecular Embryology, Medical Faculty, University of Freiburg, 79104, Freiburg, Germany.
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41
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Hughes T, Sønderby IE, Polushina T, Hansson L, Holmgren A, Athanasiu L, Melbø-Jørgensen C, Hassani S, Hoeffding LK, Herms S, Bergen SE, Karlsson R, Song J, Rietschel M, Nöthen MM, Forstner AJ, Hoffmann P, Hultman CM, Landén M, Cichon S, Werge T, Andreassen OA, Le Hellard S, Djurovic S. Elevated expression of a minor isoform of ANK3 is a risk factor for bipolar disorder. Transl Psychiatry 2018; 8:210. [PMID: 30297702 PMCID: PMC6175894 DOI: 10.1038/s41398-018-0175-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 04/22/2018] [Indexed: 01/16/2023] Open
Abstract
Ankyrin-3 (ANK3) is one of the few genes that have been consistently identified as associated with bipolar disorder by multiple genome-wide association studies. However, the exact molecular basis of the association remains unknown. A rare loss-of-function splice-site SNP (rs41283526*G) in a minor isoform of ANK3 (incorporating exon ENSE00001786716) was recently identified as protective of bipolar disorder and schizophrenia. This suggests that an elevated expression of this isoform may be involved in the etiology of the disorders. In this study, we used novel approaches and data sets to test this hypothesis. First, we strengthen the statistical evidence supporting the allelic association by replicating the protective effect of the minor allele of rs41283526 in three additional large independent samples (meta-analysis p-values: 6.8E-05 for bipolar disorder and 8.2E-04 for schizophrenia). Second, we confirm the hypothesis that both bipolar and schizophrenia patients have a significantly higher expression of this isoform than controls (p-values: 3.3E-05 for schizophrenia and 9.8E-04 for bipolar type I). Third, we determine the transcription start site for this minor isoform by Pacific Biosciences sequencing of full-length cDNA and show that it is primarily expressed in the corpus callosum. Finally, we combine genotype and expression data from a large Norwegian sample of psychiatric patients and controls, and show that the risk alleles in ANK3 identified by bipolar disorder GWAS are located near the transcription start site of this isoform and are significantly associated with its elevated expression. Together, these results point to the likely molecular mechanism underlying ANK3´s association with bipolar disorder.
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Affiliation(s)
- Timothy Hughes
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway. .,NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Ida E. Sønderby
- 0000 0004 0389 8485grid.55325.34Department of Medical Genetics, Oslo University Hospital, Oslo, Norway ,0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tatiana Polushina
- 0000 0004 1936 7443grid.7914.bDepartment of Clinical Science, NORMENT, KG Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway ,0000 0000 9753 1393grid.412008.fDr Einar Martens Research Group for Biological Psychiatry, Centre for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Lars Hansson
- 0000 0004 0389 8485grid.55325.34Department of Medical Genetics, Oslo University Hospital, Oslo, Norway ,0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Asbjørn Holmgren
- 0000 0004 0389 8485grid.55325.34Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Lavinia Athanasiu
- 0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christian Melbø-Jørgensen
- 0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sahar Hassani
- 0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Louise K. Hoeffding
- 0000 0004 0646 7373grid.4973.9Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark ,0000 0000 9817 5300grid.452548.aiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark
| | - Stefan Herms
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, Human Genomics Research Group, University of Basel, Basel, Switzerland ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Bonn, Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Sarah E. Bergen
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Karlsson
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jie Song
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marcella Rietschel
- 0000 0001 2190 4373grid.7700.0Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Markus M. Nöthen
- 0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Bonn, Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Andreas J. Forstner
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, Human Genomics Research Group, University of Basel, Basel, Switzerland ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Bonn, Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany ,0000 0004 1937 0642grid.6612.3Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Per Hoffmann
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, Human Genomics Research Group, University of Basel, Basel, Switzerland ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Bonn, Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany ,grid.410567.1Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Christina M. Hultman
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ,0000 0000 9919 9582grid.8761.8Institute of Neuroscience and Physiology, The Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
| | - Sven Cichon
- 0000 0004 1937 0642grid.6612.3Department of Biomedicine, Human Genomics Research Group, University of Basel, Basel, Switzerland ,0000 0001 2240 3300grid.10388.32Institute of Human Genetics, University of Bonn, Bonn, Germany ,0000 0001 2240 3300grid.10388.32Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany ,0000 0001 2297 375Xgrid.8385.6Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
| | - Thomas Werge
- 0000 0004 0646 7373grid.4973.9Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark ,0000 0000 9817 5300grid.452548.aiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark ,0000 0001 0674 042Xgrid.5254.6Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ole A. Andreassen
- 0000 0004 1936 8921grid.5510.1NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,0000 0004 0389 8485grid.55325.34NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Stephanie Le Hellard
- 0000 0004 1936 7443grid.7914.bDepartment of Clinical Science, NORMENT, KG Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway ,0000 0000 9753 1393grid.412008.fDr Einar Martens Research Group for Biological Psychiatry, Centre for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Srdjan Djurovic
- 0000 0004 0389 8485grid.55325.34Department of Medical Genetics, Oslo University Hospital, Oslo, Norway ,0000 0004 1936 7443grid.7914.bDepartment of Clinical Science, NORMENT, KG Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
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Xiao X, Zhang C, Grigoroiu-Serbanescu M, Wang L, Li L, Zhou D, Yuan TF, Wang C, Chang H, Wu Y, Li Y, Wu DD, Yao YG, Li M. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders. Mol Psychiatry 2018; 23:1957-1967. [PMID: 29158582 DOI: 10.1038/mp.2017.243] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/25/2017] [Accepted: 09/14/2017] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BPD), schizophrenia (SCZ) and unipolar major depressive disorder (MDD) are primary psychiatric disorders sharing substantial genetic risk factors. We previously reported that two single-nucleotide polymorphisms (SNPs) rs2709370 and rs6785 in the cAMP responsive element-binding (CREB)-1 gene (CREB1) were associated with the risk of BPD and abnormal hippocampal function in populations of European ancestry. In the present study, we further expanded our analyses of rs2709370 and rs6785 in multiple BPD, SCZ and MDD data sets, including the published Psychiatric Genomics Consortium (PGC) genome-wide association study, the samples used in our previous CREB1 study, and six additional cohorts (three new BPD samples, two new SCZ samples and one new MDD sample). Although the associations of both CREB1 SNPs with each illness were not replicated in the new cohorts (BPD analysis in 871 cases and 1089 controls (rs2709370, P=0.0611; rs6785, P=0.0544); SCZ analysis in 1273 cases and 1072 controls (rs2709370, P=0.230; rs6785, P=0.661); and MDD analysis in 129 cases and 100 controls (rs2709370, P=0.114; rs6785, P=0.188)), an overall meta-analysis of all included samples suggested that both SNPs were significantly associated with increased risk of BPD (11 105 cases and 51 331 controls; rs2709370, P=2.33 × 10-4; rs6785, P=6.33 × 10-5), SCZ (34 913 cases and 44 528 controls; rs2709370, P=3.96 × 10-5; rs6785, P=2.44 × 10-5) and MDD (9369 cases and 9619 controls; rs2709370, P=0.0144; rs6785, P=0.0314), with the same direction of allelic effects across diagnostic categories. We then examined the impact of diagnostic status on CREB1 mRNA expression using data obtained from independent brain tissue samples, and observed that the mRNA expression of CREB1 was significantly downregulated in psychiatric patients compared with healthy controls. The protein-protein interaction analyses showed that the protein encoded by CREB1 directly interacted with several risk genes of psychiatric disorders identified by GWAS. In conclusion, the current study suggests that CREB1 might be a common risk gene for major psychiatric disorders, and further investigations are necessary.
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Affiliation(s)
- X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - C Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
| | - L Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - L Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - D Zhou
- Ningbo Kangning Hospital, Ningbo, China
| | - T-F Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, China
| | - H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Li
- Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China
| | - D-D Wu
- State Key Laboratory of Genetic Resources and Evolution, Chinese Academy of Sciences, Kunming, China
| | - Y-G Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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Avinun R, Nevo A, Knodt AR, Elliott ML, Hariri AR. Replication in Imaging Genetics: The Case of Threat-Related Amygdala Reactivity. Biol Psychiatry 2018; 84:148-159. [PMID: 29279201 PMCID: PMC5955809 DOI: 10.1016/j.biopsych.2017.11.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 10/18/2017] [Accepted: 11/05/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND Low replication rates are a concern in most, if not all, scientific disciplines. In psychiatric genetics specifically, targeting intermediate brain phenotypes, which are more closely associated with putative genetic effects, was touted as a strategy leading to increased power and replicability. In the current study, we attempted to replicate previously published associations between single nucleotide polymorphisms and threat-related amygdala reactivity, which represents a robust brain phenotype not only implicated in the pathophysiology of multiple disorders, but also used as a biomarker of future risk. METHODS We conducted a literature search for published associations between single nucleotide polymorphisms and threat-related amygdala reactivity and found 37 unique findings. Our replication sample consisted of 1117 young adult volunteers (629 women, mean age 19.72 ± 1.25 years) for whom both genetic and functional magnetic resonance imaging data were available. RESULTS Of the 37 unique associations identified, only three replicated as previously reported. When exploratory analyses were conducted with different model parameters compared to the original findings, significant associations were identified for 28 additional studies: eight of these were for a different contrast/laterality; five for a different gender and/or race/ethnicity; and 15 in the opposite direction and for a different contrast, laterality, gender, and/or race/ethnicity. No significant associations, regardless of model parameters, were detected for six studies. Notably, none of the significant associations survived correction for multiple comparisons. CONCLUSIONS We discuss these patterns of poor replication with regard to the general strategy of targeting intermediate brain phenotypes in genetic association studies and the growing importance of advancing the replicability of imaging genetics findings.
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Affiliation(s)
- Reut Avinun
- Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina.
| | - Adam Nevo
- Cardiothoracic Division, Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Annchen R. Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Maxwell L. Elliott
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
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44
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Kauppi K, Rosenthal SB, Lo MT, Sanyal N, Jiang M, Abagyan R, McEvoy LK, Andreassen OA, Chen CH. Revisiting Antipsychotic Drug Actions Through Gene Networks Associated With Schizophrenia. Am J Psychiatry 2018; 175:674-682. [PMID: 29495895 PMCID: PMC6028303 DOI: 10.1176/appi.ajp.2017.17040410] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Antipsychotic drugs were incidentally discovered in the 1950s, but their mechanisms of action are still not understood. Better understanding of schizophrenia pathogenesis could shed light on actions of current drugs and reveal novel "druggable" pathways for unmet therapeutic needs. Recent genome-wide association studies offer unprecedented opportunities to characterize disease gene networks and uncover drug-disease relationships. Polygenic overlap between schizophrenia risk genes and antipsychotic drug targets has been demonstrated, but specific genes and pathways constituting this overlap are undetermined. Risk genes of polygenic disorders do not operate in isolation but in combination with other genes through protein-protein interactions among gene product. METHOD The protein interactome was used to map antipsychotic drug targets (N=88) to networks of schizophrenia risk genes (N=328). RESULTS Schizophrenia risk genes were significantly localized in the interactome, forming a distinct disease module. Core genes of the module were enriched for genes involved in developmental biology and cognition, which may have a central role in schizophrenia etiology. Antipsychotic drug targets overlapped with the core disease module and comprised multiple pathways beyond dopamine. Some important risk genes like CHRN, PCDH, and HCN families were not connected to existing antipsychotics but may be suitable targets for novel drugs or drug repurposing opportunities to treat other aspects of schizophrenia, such as cognitive or negative symptoms. CONCLUSIONS The network medicine approach provides a platform to collate information of disease genetics and drug-gene interactions to shift focus from development of antipsychotics to multitarget antischizophrenia drugs. This approach is transferable to other diseases.
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Affiliation(s)
- Karolina Kauppi
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Sara Brin Rosenthal
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Min-Tzu Lo
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Nilotpal Sanyal
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Mian Jiang
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Ruben Abagyan
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Linda K McEvoy
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Ole A Andreassen
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
| | - Chi-Hua Chen
- From the Center for Multimodal Imaging and Genetics, the Department of Radiology, the Center for Computational Biology and Bioinformatics, and the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, Calif.; the Department of Radiation Sciences, Umeå University, Umeå, Sweden; and NORMENT, KG Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo
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Derda AA, Woo CC, Wongsurawat T, Richards M, Lee CN, Kofidis T, Kuznetsov VA, Sorokin VA. Gene expression profile analysis of aortic vascular smooth muscle cells reveals upregulation of cadherin genes in myocardial infarction patients. Physiol Genomics 2018; 50:648-657. [PMID: 29775430 DOI: 10.1152/physiolgenomics.00042.2017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Myocardial infarction (MI) induced by acute coronary arterial occlusion is usually secondary to atherosclerotic plaque rupture. Dysregulated response of vascular smooth muscle cells (VSMCs) in atherosclerotic plaques may promote plaque rupture. Cadherins (CDHs) form adherens junctions and are known stabilizers of atherosclerotic plaques. To date, the expression patterns of cadherin have not been well investigated in MI aortic VSMCs. We aimed to investigate the expression of cadherin genes in the aortic wall of patients with and without MI. Laser capture microdissected VSMCs were obtained from aortic tissue samples of patients undergoing coronary artery bypass graft surgery. Integrative bioinformatic analysis of the microarray profiles of the VSMCs revealed that MI is discriminated at the whole transcriptome level by hundreds of differentially expressed genes, including genes involved in cell adhesion, of which the cadherin superfamily genes were among the top structural category. Eleven significantly deregulated candidates of the cadherin superfamily were chosen and formed a new classifier that collectively discriminated MI vs. non-MI with ~95% accuracy. Significance validation was performed with an independent cohort by quantitative RT-quantitative PCR, confirming overexpression of CDH2, CDH12, PCDH17, and PCDH18 in MI VSMCs. The dysregulation of these cadherin superfamily genes might be related to an MI-induced remote effect on aortic wall VSMCs and to imbalances in signaling pathways and myocardial repair mechanisms. Although pathophysiological significance of our findings requires functional studies, mRNA upregulation of the identified cadherin superfamily members in VSMCs might be associated with the progression of atherosclerosis and angiogenesis activation in MI.
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Affiliation(s)
- Anselm A Derda
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), IFB-Tx, Hannover Medical School , Hannover , Germany
| | - Chin Cheng Woo
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore
| | - Thidathip Wongsurawat
- Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore.,Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences , Little Rock, Arkansas
| | - Mark Richards
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore , Singapore
| | - Chuen Neng Lee
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.,Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore
| | - Theo Kofidis
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.,Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore
| | - Vladimir A Kuznetsov
- Department of Genome and Gene Expression Data Analysis, Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore.,Department of Urology, SUNY Upstate Medical University , Syracuse, New York
| | - Vitaly A Sorokin
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore , Singapore.,Department of Cardiac, Thoracic and Vascular Surgery, National University Hospital, National University Health System , Singapore
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46
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Xiao X, Zheng F, Chang H, Ma Y, Yao YG, Luo XJ, Li M. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder. Neuropsychopharmacology 2018; 43:1128-1137. [PMID: 28990594 PMCID: PMC5854803 DOI: 10.1038/npp.2017.241] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/13/2017] [Accepted: 09/27/2017] [Indexed: 12/11/2022]
Abstract
Genomic analyses have identified only a handful of robust risk loci for major depressive disorder (MDD). In addition to the published genome-wide significant genes, it is believed that there are undiscovered 'treasures' underlying the current MDD genome-wide association studies (GWASs) and gene expression data sets, and digging into these data will allow better understanding of the illness and development of new therapeutic approaches. For this purpose, we performed a meta-analytic study combining three MDD GWAS data sets (23andMe, CONVERGE, and PGC), and then conducted independent replications of significant loci in two additional samples. The genome-wide significant variants then underwent explorative analyses on MDD-related phenotypes, cognitive function alterations, and gene expression in brains. In the discovery meta-analysis, a previously unidentified single-nucleotide polymorphism (SNP) rs9540720 in the PCDH9 gene was genome-wide significantly associated with MDD (p=1.69 × 10-8 in a total of 89 610 cases and 246 603 controls), and the association was further strengthened when additional replication samples were included (p=1.20 × 10-8 in a total of 136 115 cases and 355 275 controls). The risk SNP was also associated with multiple MDD-related phenotypes and cognitive function impairment in diverse samples. Intriguingly, the risk allele of rs9540720 predicted lower PCDH9 expression, consistent with the diagnostic analysis results that PCDH9 mRNA expression levels in the brain and peripheral blood tissues were reduced in MDD patients compared with healthy controls. These convergent lines of evidence suggest that PCDH9 is likely a novel risk gene for MDD. Our study highlights the necessity and importance of excavating the public data sets to explore risk genes for MDD, and this approach is also applicable to other complex diseases.
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Affiliation(s)
- Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Fanfan Zheng
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China,Kunming Institute of Zoology, Chinese Academy of Sciences, No. 32 Jiao-Chang Donglu, Kunming, Yunnan 650223, China, Tel: +86 871 65190162, Fax: +86 871 65190162, E-mail:
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47
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Ancot F, Lemay P, Knowler SP, Kennedy K, Griffiths S, Cherubini GB, Sykes J, Mandigers PJJ, Rouleau GA, Rusbridge C, Kibar Z. A genome-wide association study identifies candidate loci associated to syringomyelia secondary to Chiari-like malformation in Cavalier King Charles Spaniels. BMC Genet 2018; 19:16. [PMID: 29566674 PMCID: PMC5865342 DOI: 10.1186/s12863-018-0605-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 03/15/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Syringomyelia (SM) is a common condition affecting brachycephalic toy breed dogs and is characterized by the development of fluid-filled cavities within the spinal cord. It is often concurrent with a complex developmental malformation of the skull and craniocervical vertebrae called Chiari-like malformation (CM) characterized by a conformational change and overcrowding of the brain and cervical spinal cord particularly at the craniocervical junction. CM and SM have a polygenic mode of inheritance with variable penetrance. RESULTS We identified six cranial T1-weighted sagittal MRI measurements that were associated to maximum transverse diameter of the syrinx cavity. Increased syrinx transverse diameter has been correlated previously with increased likelihood of behavioral signs of pain. We next conducted a whole genome association study of these traits in 65 Cavalier King Charles Spaniel (CKCS) dogs (33 controls, 32 with extreme phenotypes). Two loci on CFA22 and CFA26 were found to be significantly associated to two traits associated with a reduced volume and altered orientation of the caudal cranial fossa. Their reconstructed haplotypes defined two associated regions that harbor only two genes: PCDH17 on CFA22 and ZWINT on CFA26. PCDH17 codes for a cell adhesion molecule expressed specifically in the brain and spinal cord. ZWINT plays a role in chromosome segregation and its expression is increased with the onset of neuropathic pain. Targeted genomic sequencing of these regions identified respectively 37 and 339 SNPs with significantly associated P values. Genotyping of tagSNPs selected from these 2 candidate loci in an extended cohort of 461 CKCS (187 unaffected, 274 SM affected) identified 2 SNPs on CFA22 that were significantly associated to SM strengthening the candidacy of this locus in SM development. CONCLUSIONS We identified 2 loci on CFA22 and CFA26 that contained only 2 genes, PCDH17 and ZWINT, significantly associated to two traits associated with syrinx transverse diameter. The locus on CFA22 was significantly associated to SM secondary to CM in the CKCS dog breed strengthening its candidacy for this disease. This study will provide an entry point for identification of the genetic factors predisposing to this condition and its underlying pathogenic mechanisms.
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Affiliation(s)
- Frédéric Ancot
- Department of Neurosciences, CHU Sainte Justine Research Center, University of Montréal, 3175 Cote-Sainte-Catherine, Room 3.17.006, Montreal, QC, H3T 1C5, Canada
| | - Philippe Lemay
- Department of Neurosciences, CHU Sainte Justine Research Center, University of Montréal, 3175 Cote-Sainte-Catherine, Room 3.17.006, Montreal, QC, H3T 1C5, Canada
| | - Susan P Knowler
- School of Veterinary Medicine, Faculty of Health & Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7AL, UK
| | - Karen Kennedy
- Department of Medical Imaging, London Health Sciences Centre, London, ON, N6A 5A5, Canada
| | - Sandra Griffiths
- Stone Lion Veterinary Hospital, 42 High Street, Wimbledon, SW19 5AU, UK
| | | | - Jane Sykes
- Thames Valley Veterinary Services, London, ON, N6A 4V2, Canada
| | - Paul J J Mandigers
- Department of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3584, CM, The Netherlands
| | - Guy A Rouleau
- Montreal Neurological Institute and McGill University, Montreal, QC, H3A 2B4, Canada
| | - Clare Rusbridge
- School of Veterinary Medicine, Faculty of Health & Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7AL, UK.,Fitzpatrick Referrals, Godalming, Surrey, GU7 2QQ, UK
| | - Zoha Kibar
- Department of Neurosciences, CHU Sainte Justine Research Center, University of Montréal, 3175 Cote-Sainte-Catherine, Room 3.17.006, Montreal, QC, H3T 1C5, Canada.
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48
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Abstract
Neuroscience research has demonstrated that cognition, emotion, and their dynamic interactions emerge from complex and flexible patterns of activity across distributed neural circuits. A parallel branch of research in genetics has begun to identify common variation in the human DNA sequence (i.e., genome) that may shape individual differences in cognition-emotion interactions by altering molecular and cellular pathways that modulate the activity of these neural circuits. Here we provide a brief introduction to such neurogenetics research and how it may usefully inform our understanding of the biological mechanisms through which dynamic cognition-emotion interactions emerge and, subsequently, help shape normal and abnormal behavior.
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49
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Weng J, Xiao J, Mi Y, Fang X, Sun Y, Li S, Qin Z, Li X, Liu T, Zhao S, Zhou L, Wen Y. PCDHGA9 acts as a tumor suppressor to induce tumor cell apoptosis and autophagy and inhibit the EMT process in human gastric cancer. Cell Death Dis 2018; 9:27. [PMID: 29348665 PMCID: PMC5833845 DOI: 10.1038/s41419-017-0189-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 11/18/2017] [Accepted: 11/27/2017] [Indexed: 12/14/2022]
Abstract
The results of a cDNA array revealed that protocadherin gamma subfamily A, 9 (PCDHGA9) was significantly decreased in SGC-7901 gastric cancer (GC) cells compared with GES-1 normal gastric cells and was strongly associated with the Wnt/β-catenin and transforming growth factor-β (TGF-β)/Smad2/3 signaling pathway. As a member of the cadherin family, PCDHGA9 functions in both cell-cell adhesion and nuclear signaling. However, its role in tumorigenicity or metastasis has not been reported. In the present study, we found that PCDHGA9 was decreased in GC tissues compared with corresponding normal mucosae and its expression was correlated with the GC TNM stage, the UICC stage, differentiation, relapse, and metastasis (p < 0.01). Multivariate Cox analysis revealed that PCDHGA9 was an independent prognostic indicator for overall survival (OS) and disease-free survival (DFS) (p < 0.01). The effects of PCDHGA9 on GC tumor growth and metastasis were examined both in vivo and in vitro. PCDHGA9 knockdown promoted GC cell proliferation, migration, and invasion, whereas PCDHGA9 overexpression inhibited GC tumor growth and metastasis but induced apoptosis, autophagy, and G1 cell cycle arrest. Furthermore, PCDHGA9 suppressed epithelial-mesenchymal transition (EMT) induced by TGF-β, decreased the phosphorylation of Smad2/3, and inhibited the nuclear translocation of pSmad2/3. Our results suggest that PCDHGA9 might interact with β-catenin to prevent β-catenin from dissociating in the cytoplasm and translocating to the nucleus. Moreover, PCDHGA9 overexpression restrained cell proliferation and reduced the nuclear β-catenin, an indicator of Wnt/β-catenin pathway activation, suggesting that PCDHGA9 negatively regulates Wnt signaling. Together, these data indicate that PCDHGA9 acts as a tumor suppressor with anti-proliferative activity and anti-invasive ability, and the reduction of PCDHGA9 could serve as an independent prognostic biomarker in GC.
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Affiliation(s)
- Junyong Weng
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Jingbo Xiao
- Shanghai Key Laboratory of Pancreatic Diseases & Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, 200080, Shanghai, China
| | - Yushuai Mi
- Department of General Surgery, The Second Hospital of Shandong University, Jinan, 250033, Shandong, China
| | - Xu Fang
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Yahuang Sun
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Shanbao Li
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Zhiwei Qin
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Xu Li
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Tingting Liu
- Department of Pathology, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Senlin Zhao
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China
| | - Lisheng Zhou
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China.
| | - Yugang Wen
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 200080, Shanghai, China.
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50
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Luciano M, Hagenaars SP, Davies G, Hill WD, Clarke TK, Shirali M, Harris SE, Marioni RE, Liewald DC, Fawns-Ritchie C, Adams MJ, Howard DM, Lewis CM, Gale CR, McIntosh AM, Deary IJ. Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism. Nat Genet 2018; 50:6-11. [PMID: 29255261 PMCID: PMC5985926 DOI: 10.1038/s41588-017-0013-8] [Citation(s) in RCA: 228] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 11/17/2017] [Indexed: 12/15/2022]
Abstract
Neuroticism is a relatively stable personality trait characterized by negative emotionality (for example, worry and guilt) 1 ; heritability estimated from twin studies ranges from 30 to 50% 2 , and SNP-based heritability ranges from 6 to 15% 3-6 . Increased neuroticism is associated with poorer mental and physical health 7,8 , translating to high economic burden 9 . Genome-wide association studies (GWAS) of neuroticism have identified up to 11 associated genetic loci 3,4 . Here we report 116 significant independent loci from a GWAS of neuroticism in 329,821 UK Biobank participants; 15 of these loci replicated at P < 0.00045 in an unrelated cohort (N = 122,867). Genetic signals were enriched in neuronal genesis and differentiation pathways, and substantial genetic correlations were found between neuroticism and depressive symptoms (r g = 0.82, standard error (s.e.) = 0.03), major depressive disorder (MDD; r g = 0.69, s.e. = 0.07) and subjective well-being (r g = -0.68, s.e. = 0.03) alongside other mental health traits. These discoveries significantly advance understanding of neuroticism and its association with MDD.
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Affiliation(s)
- Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Masoud Shirali
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - David C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - Chloe Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark J Adams
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - David M Howard
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Cathryn M Lewis
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Andrew M McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
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