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Zhu M, Xu Y, Zhang Q, Cheng X, Zhang L, Tao F, Shi J, Zhu X, Wang Z, Zhao X, Liu W. Reduction of intracortical inhibition (ICI) correlates with cognitive performance and psychopathology symptoms in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:78. [PMID: 39277614 PMCID: PMC11401854 DOI: 10.1038/s41537-024-00491-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/06/2024] [Indexed: 09/17/2024]
Abstract
Cognitive impairment is a core symptom of schizophrenia (SZ), with GABAergic dysfunction in the brain potentially serving as a critical pathological mechanism underlying this condition. Intracortical inhibition (ICI), which includes short-interval intracortical inhibition (SICI) and long-interval intracortical inhibition (LICI), can be used to assess the inhibitory function of cortical GABAergic neurons. The aim of this study was to investigate the relationship between ICI and cognitive function, as well as psychopathological symptoms, in SZ patients. We recruited 130 SZ patients and 105 healthy controls (HCs). All subjects underwent paired-pulse transcranial magnetic stimulation (ppTMS) measurements, which included resting motor threshold (RMT), SICI and LICI. The cognitive function of all subjects was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB). The psychopathological symptoms of the SZ group were assessed using the Positive and Negative Syndrome Scale (PANSS). We examined group differences in MCCB scores, RMT, SICI, and LICI. Within the SZ group, we assessed the relationship between ICI and cognitive function, as well as psychopathological symptoms. Two-way ANOVA, Mann-Whitney U test, Receiver operating characteristic (ROC) curves, and partial Spearman correlation analysis were performed. The SZ group showed a worse cognitive score in all 6 cognitive dimensions of the MCCB compared to the HC group (all p < 0.05). The SZ group had lower degree of SICI and LICI compared to the HC group (both p < 0.05). ROC curves analysis showed that SICI and LICI all displayed good performance in differentiating SZ patients and HCs (both p < 0.05), and SICI exhibited a better performance, yielding an area under the curve (AUC) of 0.856 (95% CI 0.807-0.904). Furthermore, in the SZ group, SICI demonstrated a significant negative correlation with PANSS positive score, negative score, general psychopathology score, and total score (all pBonferroni < 0.05), and LICI demonstrated a significant negative correlation with PANSS positive score, general psychopathology score and total score (all pBonferroni < 0.05). Additionally, in the SZ group, SICI demonstrated a significant positive correlation with speed of processing score, working memory score, verbal learning score, visual learning score, and reasoning and problem-solving score of the MCCB (all pBonferroni < 0.05), while LICI was only weakly positive correlated with speed of processing score of the MCCB (r = 0.247, p = 0.005, pBonferroni = 0.03). Our results demonstrate that the reduction of ICI could serve as a trait-dependent in-vivo biomarker of GABAergic deficits for SZ and related cognitive impairments.
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Affiliation(s)
- Minghuan Zhu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Yifan Xu
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Qi Zhang
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Xiaoyan Cheng
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Lei Zhang
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Fengzhi Tao
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Jiali Shi
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Xingjia Zhu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Zhihui Wang
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China
| | - Xudong Zhao
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China.
| | - Weiqing Liu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, 200124, China.
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Brakatselos C, Polissidis A, Ntoulas G, Asprogerakas MZ, Tsarna O, Vamvaka-Iakovou A, Nakas G, Delis A, Tzimas P, Skaltsounis L, Silva J, Delis F, Oliveira JF, Sotiropoulos I, Antoniou K. Multi-level therapeutic actions of cannabidiol in ketamine-induced schizophrenia psychopathology in male rats. Neuropsychopharmacology 2024:10.1038/s41386-024-01977-1. [PMID: 39242923 DOI: 10.1038/s41386-024-01977-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/19/2024] [Accepted: 08/19/2024] [Indexed: 09/09/2024]
Abstract
Repeated administration of ketamine (KET) has been used to model schizophrenia-like symptomatology in rodents, but the psychotomimetic neurobiological and neuroanatomical underpinnings remain elusive. In parallel, the unmet need for a better treatment of schizophrenia requires the development of novel therapeutic strategies. Cannabidiol (CBD), a major non-addictive phytocannabinoid has been linked to antipsychotic effects with unclear mechanistic basis. Therefore, this study aims to clarify the neurobiological substrate of repeated KET administration model and to evaluate CBD's antipsychotic potential and neurobiological basis. CBD-treated male rats with and without prior repeated KET administration underwent behavioral analyses, followed by multilevel analysis of different brain areas including dopaminergic and glutamatergic activity, synaptic signaling, as well as electrophysiological recordings for the assessment of corticohippocampal and corticostriatal network activity. Repeated KET model is characterized by schizophrenia-like symptomatology and alterations in glutamatergic and dopaminergic activity mainly in the PFC and the dorsomedial striatum (DMS), through a bi-directional pattern. These observations are accompanied by glutamatergic/GABAergic deviations paralleled to impaired function of parvalbumin- and cholecystokinin-positive interneurons, indicative of excitation/inhibition (E/I) imbalance. Moreover, CBD counteracted the schizophrenia-like behavioral phenotype as well as reverted prefrontal abnormalities and ventral hippocampal E/I deficits, while partially modulated dorsostriatal dysregulations. This study adds novel insights to our understanding of the KET-induced schizophrenia-related brain pathology, as well as the CBD antipsychotic action through a region-specific set of modulations in the corticohippocampal and costicostrtiatal circuitry of KET-induced profile contributing to the development of novel therapeutic strategies focused on the ECS and E/I imbalance restoration.
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Affiliation(s)
- Charalampos Brakatselos
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Alexia Polissidis
- Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, 11527, Athens, Greece
- Department of Science and Mathematics, ACG-Research Center, Deree - American College of Greece, 15342, Athens, Greece
| | - George Ntoulas
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Michail-Zois Asprogerakas
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Olga Tsarna
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Anastasia Vamvaka-Iakovou
- Institute of Biosciences & Applications, NCSR Demokritos, Athens, Greece
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Gerasimos Nakas
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Anastasios Delis
- Center of Basic Research, Biological Imaging Unit, Biomedical Research Foundation Academy of Athens, 11527, Athens, Greece
| | - Petros Tzimas
- Department of Pharmacognosy and Natural Product Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, 15771, Athens, Greece
| | - Leandros Skaltsounis
- Department of Pharmacognosy and Natural Product Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, 15771, Athens, Greece
| | - Joana Silva
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Foteini Delis
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece
| | - Joao Filipe Oliveira
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
- IPCA-EST-2Ai, Polytechnic Institute of Cávado and Ave, Applied Artificial Intelligence Laboratory, Campus of IPCA, Barcelos, Portugal
| | - Ioannis Sotiropoulos
- Institute of Biosciences & Applications, NCSR Demokritos, Athens, Greece
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Katerina Antoniou
- Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110, Ioannina, Greece.
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Feng Y, Sun L, Dang X, Liu D, Liao Z, Yao J, Zhang Y, Deng Z, Li J, Zhao M, Liu F. Aberrant glycosylation in schizophrenia: insights into pathophysiological mechanisms and therapeutic potentials. Front Pharmacol 2024; 15:1457811. [PMID: 39286629 PMCID: PMC11402814 DOI: 10.3389/fphar.2024.1457811] [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: 07/01/2024] [Accepted: 08/22/2024] [Indexed: 09/19/2024] Open
Abstract
Schizophrenia (SCZ) is a severe neuropsychiatric disorder characterized by cognitive, affective, and social dysfunction, resulting in hallucinations, delusions, emotional blunting, and disordered thinking. In recent years, proteomics has been increasingly influential in SCZ research. Glycosylation, a key post-translational modification, can alter neuronal stability and normal signaling in the nervous system by affecting protein folding, stability, and cellular signaling. Recent research evidence suggests that abnormal glycosylation patterns exist in different brain regions in autopsy samples from SCZ patients, and that there are significant differences in various glycosylation modification types and glycosylation modifying enzymes. Therefore, this review explores the mechanisms of aberrant modifications of N-glycosylation, O-glycosylation, glycosyltransferases, and polysialic acid in the brains of SCZ patients, emphasizing their roles in neurotransmitter receptor function, synaptic plasticity, and neural adhesion. Additionally, the effects of antipsychotic drugs on glycosylation processes and the potential for glycosylation-targeted therapies are discussed. By integrating these findings, this review aims to provide a comprehensive perspective to further understand the role of aberrant glycosylation modifications in the pathophysiology of SCZ.
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Affiliation(s)
- Yanchen Feng
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Lu Sun
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Xue Dang
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Diyan Liu
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Ziyun Liao
- College of Acupuncture, Moxibustion and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jianping Yao
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yunke Zhang
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Ziqi Deng
- School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jinyao Li
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Min Zhao
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Hospital of Encephalopathy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Feixiang Liu
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Hospital of Encephalopathy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
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Souza BR, Codo BC, Romano-Silva MA, Tropepe V. Darpp-32 is regulated by dopamine and is required for the formation of GABAergic neurons in the developing telencephalon. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111060. [PMID: 38906412 DOI: 10.1016/j.pnpbp.2024.111060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/22/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
DARPP-32 (dopamine and cAMP-regulated phosphoprotein Mr. 32 kDa) is a phosphoprotein that is modulated by multiple receptors integrating intracellular pathways and playing roles in various physiological functions. It is regulated by dopaminergic receptors through the cAMP/protein kinase A (PKA) pathway, which modulates the phosphorylation of threonine 34 (Thr34). When phosphorylated at Thr34, DARPP-32 becomes a potent protein phosphatase-1 (PP1) inhibitor. Since dopamine is involved in the development of GABAergic neurons and DARPP-32 is expressed in the developing brain, it is possible that DARPP-32 has a role in GABAergic neuronal development. We cloned the zebrafish darpp-32 gene (ppp1r1b) gene and observed that it is evolutionarily conserved in its inhibitory domain (Thr34 and surrounding residues) and the docking motif (residues 7-11 (KKIQF)). We also characterized darpp-32 protein expression throughout the 5 days post-fertilization (dpf) zebrafish larval brain by immunofluorescence and demonstrated that darpp-32 is mainly expressed in regions that receive dopaminergic projections (pallium, subpallium, preoptic region, and hypothalamus). We demonstrated that dopamine acutely suppressed darpp-32 activity by reducing the levels of p-darpp-32 in the 5dpf zebrafish larval brain. In addition, the knockdown of darpp-32 resulted in a decrease in the number of GABAergic neurons in the subpallium of the 5dpf larval brain, with a concomitant increase in the number of DAergic neurons. Finally, we demonstrated that darpp-32 downregulation during development reduced the motor behavior of 5dpf zebrafish larvae. Thus, our observations suggest that darpp-32 is an evolutionarily conserved regulator of dopamine receptor signaling and is required for the formation of GABAergic neurons in the developing telencephalon.
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Affiliation(s)
- Bruno Rezende Souza
- Laboratório NeuroDEv, Department of Physiology and Biophysics, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil 31270-901; Laboratório de Neurociências Molecular e Comportamental (LANEC) - Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil.
| | - Beatriz Campos Codo
- Laboratório NeuroDEv, Department of Physiology and Biophysics, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil 31270-901; Laboratório de Neurociências Molecular e Comportamental (LANEC) - Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil
| | - Marco Aurélio Romano-Silva
- Laboratório de Neurociências and INCT de Medicina Molecular, Department of Mental Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil 30130-100
| | - Vincent Tropepe
- Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada M5S 3G5.
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Carceller H, Hidalgo MR, Escartí MJ, Nacher J, de la Iglesia-Vayá M, García-García F. The impact of sex on gene expression in the brain of schizophrenic patients: a systematic review and meta-analysis of transcriptomic studies. Biol Sex Differ 2024; 15:59. [PMID: 39068467 PMCID: PMC11282642 DOI: 10.1186/s13293-024-00635-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 07/08/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Schizophrenia is a severe neuropsychiatric disorder characterized by altered perception, mood, and behavior that profoundly impacts patients and society despite its relatively low prevalence. Sex-based differences have been described in schizophrenia epidemiology, symptomatology and outcomes. Different studies explored the impact of schizophrenia in the brain transcriptome, however we lack a consensus transcriptomic profile that considers sex and differentiates specific cerebral regions. METHODS We performed a systematic review on bulk RNA-sequencing studies of post-mortem brain samples. Then, we fulfilled differential expression analysis on each study and summarized their results with regions-specific meta-analyses (prefrontal cortex and hippocampus) and a global all-studies meta-analysis. Finally, we used the consensus transcriptomic profiles to functionally characterize the impact of schizophrenia in males and females by protein-protein interaction networks, enriched biological processes and dysregulated transcription factors. RESULTS We discovered the sex-based dysregulation of 265 genes in the prefrontal cortex, 1.414 genes in the hippocampus and 66 genes in the all-studies meta-analyses. The functional characterization of these gene sets unveiled increased processes related to immune response functions in the prefrontal cortex in male and the hippocampus in female schizophrenia patients and the overexpression of genes related to neurotransmission and synapses in the prefrontal cortex of female schizophrenia patients. Considering a meta-analysis of all brain regions available, we encountered the relative overexpression of genes related to synaptic plasticity and transmission in females and the overexpression of genes involved in organizing genetic information and protein folding in male schizophrenia patients. The protein-protein interaction networks and transcription factors activity analyses supported these sex-based profiles. CONCLUSIONS Our results report multiple sex-based transcriptomic alterations in specific brain regions of schizophrenia patients, which provides new insight into the role of sex in schizophrenia. Moreover, we unveil a partial overlapping of inflammatory processes in the prefrontal cortex of males and the hippocampus of females.
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Affiliation(s)
- Hector Carceller
- Neurobiology Unit, Program in Neurosciences and Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
- Spanish National Network for Research in Mental Health, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Joint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain
| | - Marta R Hidalgo
- Joint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain
- Computational Biomedicine Laboratory, Principe Felipe Research Centre (CIPF), Eduardo Primo Yúfera Street, 3, Valencia, 46012, Spain
| | - María José Escartí
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISC III, Avda. Blasco Ibáñez 15, Valencia, Spain
| | - Juan Nacher
- Neurobiology Unit, Program in Neurosciences and Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
- Spanish National Network for Research in Mental Health, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain
| | - Maria de la Iglesia-Vayá
- Spanish National Network for Research in Mental Health, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Joint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain
| | - Francisco García-García
- Joint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain.
- Computational Biomedicine Laboratory, Principe Felipe Research Centre (CIPF), Eduardo Primo Yúfera Street, 3, Valencia, 46012, Spain.
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Jawad A, Mtairek MA, Awde MH, Kanso H, Kawssan A, Awada R, Khadra T, Moselmani M, Tarhini ZM, Al Bazzal A, Mohammed NA, Atef O, Hamdar H. Exploring the complex relationship between caffeine consumption and schizophrenia: A review of epidemiological and clinical studies. PROGRESS IN BRAIN RESEARCH 2024; 289:107-121. [PMID: 39168576 DOI: 10.1016/bs.pbr.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
This review delves into the intricate interplay between caffeine consumption and schizophrenia, examining evidence from epidemiological and clinical studies. While epidemiological research offers conflicting findings regarding the association between coffee intake and schizophrenia risk, clinical studies reveal diverse impacts of caffeine on symptomatology and cognition in individuals with schizophrenia. Some epidemiological studies suggest a potential protective effect of coffee consumption against schizophrenia, whereas others fail to establish a significant correlation. Clinical investigations highlight the complexity of caffeine's influence, with varied effects on symptom severity and cognitive function observed among schizophrenia patients. Notably, caffeine may exacerbate positive symptoms while alleviating negative symptoms and cognitive deficits in this population. However, limitations such as small sample sizes and reliance on self-reported data hinder the generalizability of these findings. Furthermore, genetic factors, prenatal exposure, and substance abuse contribute to the complexity of the relationship between caffeine and schizophrenia. Studies indicate that individuals with a genetic predisposition to schizophrenia may be more vulnerable to the effects of caffeine, while prenatal exposure to caffeine may elevate the risk of schizophrenia in offspring. Additionally, substance abuse, including high caffeine and nicotine consumption, is prevalent among individuals with schizophrenia, exacerbating symptom severity. Future research directions include addressing methodological limitations, such as small sample sizes and reliance on self-reported data, and exploring the effects of caffeine on schizophrenia using larger, more diverse cohorts and controlled methodologies. A deeper understanding of caffeine's impact on schizophrenia is crucial for informing clinical practice and developing personalized interventions for patients. Ultimately, this review underscores the need for further investigation into the complex relationship between caffeine consumption and schizophrenia to improve patient outcomes and inform evidence-based interventions.
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Affiliation(s)
- Ali Jawad
- Faculty of Medicine, Damascus University, Damascus, Syria; Medical Learning Skills Academy, Beirut, Lebanon
| | - Mohammad Ali Mtairek
- Faculty of Medicine, Damascus University, Damascus, Syria; Medical Learning Skills Academy, Beirut, Lebanon
| | - Mohammad Hadi Awde
- Faculty of Medicine, Damascus University, Damascus, Syria; Medical Learning Skills Academy, Beirut, Lebanon
| | - Haidar Kanso
- Faculty of Medicine, Damascus University, Damascus, Syria; Medical Learning Skills Academy, Beirut, Lebanon
| | - Aya Kawssan
- Medical Learning Skills Academy, Beirut, Lebanon; Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Rim Awada
- Medical Learning Skills Academy, Beirut, Lebanon; Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Tia Khadra
- Medical Learning Skills Academy, Beirut, Lebanon; Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Mariam Moselmani
- Medical Learning Skills Academy, Beirut, Lebanon; Neuroscience Research Center (NRC), Faculty of Medical Sciences, Lebanese University, Hadath, Lebanon
| | - Zahraa Mahdi Tarhini
- Medical Learning Skills Academy, Beirut, Lebanon; Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | - Abbas Al Bazzal
- Medical Learning Skills Academy, Beirut, Lebanon; Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | | | - Omnia Atef
- Faculty of Sciences, Cairo University, Cairo, Egypt
| | - Hiba Hamdar
- Medical Learning Skills Academy, Beirut, Lebanon.
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Qu H, Zhao S, Li Z, Wu J, Murai T, Li Q, Wu Y, Zhang Z. Investigating the impact of schizophrenia traits on attention: the role of the theta band in a modified Posner cueing paradigm. Cereb Cortex 2024; 34:bhae274. [PMID: 38976973 DOI: 10.1093/cercor/bhae274] [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: 04/17/2024] [Revised: 06/10/2024] [Accepted: 06/17/2024] [Indexed: 07/10/2024] Open
Abstract
Joint attention is an indispensable tool for daily communication. Abnormalities in joint attention may be a key reason underlying social impairment in schizophrenia spectrum disorders. In this study, we aimed to explore the attentional orientation mechanism related to schizotypal traits in a social situation. Here, we employed a Posner cueing paradigm with social attentional cues. Subjects needed to detect the location of a target that is cued by gaze and head orientation. The power in the theta frequency band was used to examine the attentional process in the schizophrenia spectrum. There were four main findings. First, a significant association was found between schizotypal traits and attention orientation in response to invalid gaze cues. Second, individuals with schizotypal traits exhibited significant activation of neural oscillations and synchrony in the theta band, which correlated with their schizotypal tendencies. Third, neural oscillations and synchrony demonstrated a synergistic effect during social tasks, particularly when processing gaze cues. Finally, the relationship between schizotypal traits and attention orientation was mediated by neural oscillations and synchrony in the theta frequency band. These findings deepen our understanding of the impact of theta activity in schizotypal traits on joint attention and offer new insights for future intervention strategies.
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Affiliation(s)
- Hongyu Qu
- School of Computer Science and Technology, Changchun University of Science and Technology, 7186 Satellite Road (South), Chaoyang District, Changchun 130022, China
| | - Shuo Zhao
- School of Psychology, Shenzhen University, 3688 Nanhai Avenue, Nanshan District, Shenzhen 518060, China
| | - Zimo Li
- Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-naka, Kita-ku, Okayama 700-8530, Japan
| | - Jinglong Wu
- Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-naka, Kita-ku, Okayama 700-8530, Japan
- Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Nanshan District, Shenzhen 518055, China
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
| | - Qi Li
- School of Computer Science and Technology, Changchun University of Science and Technology, 7186 Satellite Road (South), Chaoyang District, Changchun 130022, China
| | - Yan Wu
- School of Computer Science and Technology, Changchun University of Science and Technology, 7186 Satellite Road (South), Chaoyang District, Changchun 130022, China
| | - Zhilin Zhang
- Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Nanshan District, Shenzhen 518055, China
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan
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8
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Topchiy I, Mohbat J, Folorunso OO, Wang ZZ, Lazcano-Etchebarne C, Engin E. GABA system as the cause and effect in early development. Neurosci Biobehav Rev 2024; 161:105651. [PMID: 38579901 PMCID: PMC11081854 DOI: 10.1016/j.neubiorev.2024.105651] [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: 01/03/2024] [Revised: 03/05/2024] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
GABA is the primary inhibitory neurotransmitter in the adult brain and through its actions on GABAARs, it protects against excitotoxicity and seizure activity, ensures temporal fidelity of neurotransmission, and regulates concerted rhythmic activity of neuronal populations. In the developing brain, the development of GABAergic neurons precedes that of glutamatergic neurons and the GABA system serves as a guide and framework for the development of other brain systems. Despite this early start, the maturation of the GABA system also continues well into the early postnatal period. In this review, we organize evidence around two scenarios based on the essential and protracted nature of GABA system development: 1) disruptions in the development of the GABA system can lead to large scale disruptions in other developmental processes (i.e., GABA as the cause), 2) protracted maturation of this system makes it vulnerable to the effects of developmental insults (i.e., GABA as the effect). While ample evidence supports the importance of GABA/GABAAR system in both scenarios, large gaps in existing knowledge prevent strong mechanistic conclusions.
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Affiliation(s)
- Irina Topchiy
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - Julie Mohbat
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA; School of Life Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne CH-1015, Switzerland
| | - Oluwarotimi O Folorunso
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - Ziyi Zephyr Wang
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | | | - Elif Engin
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA.
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9
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Martins D, Abbasi M, Egas C, Arrais JP. Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction. J Integr Bioinform 2024; 21:jib-2023-0042. [PMID: 39004922 PMCID: PMC11377398 DOI: 10.1515/jib-2023-0042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 06/06/2024] [Indexed: 07/16/2024] Open
Abstract
This study delves into the intricate genetic and clinical aspects of Schizophrenia, a complex mental disorder with uncertain etiology. Deep Learning (DL) holds promise for analyzing large genomic datasets to uncover new risk factors. However, based on reports of non-negligible misdiagnosis rates for SCZ, case-control cohorts may contain outlying genetic profiles, hindering compelling performances of classification models. The research employed a case-control dataset sourced from the Swedish populace. A gene-annotation-based DL architecture was developed and employed in two stages. First, the model was trained on the entire dataset to highlight differences between cases and controls. Then, samples likely to be misclassified were excluded, and the model was retrained on the refined dataset for performance evaluation. The results indicate that SCZ prevalence and misdiagnosis rates can affect case-control cohorts, potentially compromising future studies reliant on such datasets. However, by detecting and filtering outliers, the study demonstrates the feasibility of adapting DL methodologies to large-scale biological problems, producing results more aligned with existing heritability estimates for SCZ. This approach not only advances the comprehension of the genetic background of SCZ but also opens doors for adapting DL techniques in complex research for precision medicine in mental health.
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Affiliation(s)
- Daniel Martins
- Centre for Informatics and Systems, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
| | - Maryam Abbasi
- Polytechnic Institute of Coimbra, Applied Research Institute, Coimbra, Portugal
- Research Centre for Natural Resources Environment and Society, Polytechnic Institute of Coimbra, Coimbra, Portugal
| | - Conceição Egas
- Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Biocant - Transfer Technology Association, Cantanhede, Portugal
| | - Joel P Arrais
- Centre for Informatics and Systems, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
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10
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Pratt HE, Andrews G, Shedd N, Phalke N, Li T, Pampari A, Jensen M, Wen C, Consortium P, Gandal MJ, Geschwind DH, Gerstein M, Moore J, Kundaje A, Colubri A, Weng Z. Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements. SCIENCE ADVANCES 2024; 10:eadj4452. [PMID: 38781344 PMCID: PMC11114231 DOI: 10.1126/sciadv.adj4452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
Most genetic variants associated with psychiatric disorders are located in noncoding regions of the genome. To investigate their functional implications, we integrate epigenetic data from the PsychENCODE Consortium and other published sources to construct a comprehensive atlas of candidate brain cis-regulatory elements. Using deep learning, we model these elements' sequence syntax and predict how binding sites for lineage-specific transcription factors contribute to cell type-specific gene regulation in various types of glia and neurons. The elements' evolutionary history suggests that new regulatory information in the brain emerges primarily via smaller sequence mutations within conserved mammalian elements rather than entirely new human- or primate-specific sequences. However, primate-specific candidate elements, particularly those active during fetal brain development and in excitatory neurons and astrocytes, are implicated in the heritability of brain-related human traits. Additionally, we introduce PsychSCREEN, a web-based platform offering interactive visualization of PsychENCODE-generated genetic and epigenetic data from diverse brain cell types in individuals with psychiatric disorders and healthy controls.
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Affiliation(s)
- Henry E. Pratt
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Gregory Andrews
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Nicole Shedd
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Nishigandha Phalke
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Tongxin Li
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
- Khoury College of Computer Science, Northeastern University, Boston, MA 02115, USA
| | - Anusri Pampari
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Matthew Jensen
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Cindy Wen
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | | | - Michael J. Gandal
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel H. Geschwind
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Institute of Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Mark Gerstein
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, New Haven, CT 06520, USA
- Department of Statistics and Data Science, Yale University, New Haven, CT 06520, USA
| | - Jill Moore
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Andrés Colubri
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Zhiping Weng
- Department of Genomics and Computational Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
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11
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Burrack N, Yitzhaky A, Mizrahi L, Wang M, Stern S, Hertzberg L. Altered Expression of PDE4 Genes in Schizophrenia: Insights from a Brain and Blood Sample Meta-Analysis and iPSC-Derived Neurons. Genes (Basel) 2024; 15:609. [PMID: 38790238 PMCID: PMC11121586 DOI: 10.3390/genes15050609] [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: 06/04/2023] [Revised: 05/03/2024] [Accepted: 05/05/2024] [Indexed: 05/26/2024] Open
Abstract
Schizophrenia symptomatology includes negative symptoms and cognitive impairment. Several studies have linked schizophrenia with the PDE4 family of enzymes due to their genetic association and function in cognitive processes such as long-term potentiation. We conducted a systematic gene expression meta-analysis of four PDE4 genes (PDE4A-D) in 10 brain sample datasets (437 samples) and three blood sample datasets (300 samples). Subsequently, we measured mRNA levels in iPSC-derived hippocampal dentate gyrus neurons generated from fibroblasts of three groups: healthy controls, healthy monozygotic twins (MZ), and their MZ siblings with schizophrenia. We found downregulation of PDE4B in brain tissues, further validated by independent data of the CommonMind consortium (515 samples). Interestingly, the downregulation signal was present in a subgroup of the patients, while the others showed no differential expression or even upregulation. Notably, PDE4A, PDE4B, and PDE4D exhibited upregulation in iPSC-derived neurons compared to healthy controls, whereas in blood samples, PDE4B was found to be upregulated while PDE4A was downregulated. While the precise mechanism and direction of altered PDE4 expression necessitate further investigation, the observed multilevel differential expression across the brain, blood, and iPSC-derived neurons compellingly suggests the involvement of PDE4 genes in the pathophysiology of schizophrenia.
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Affiliation(s)
- Nitzan Burrack
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84101, Israel;
- Clinical Research Center, Soroka University Medical Center, Beer-Sheva 84101, Israel
| | - Assif Yitzhaky
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Liron Mizrahi
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa 3103301, Israel
| | - Meiyan Wang
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Shani Stern
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa 3103301, Israel
| | - Libi Hertzberg
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel
- Shalvata Mental Health Center, Affiliated with the Faculty of Medicine, Tel-Aviv University, 13 Aliat Hanoar St., Hod Hasharon 45100, Israel
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12
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Qu L, Li Y, Liu F, Fang Y, He J, Ma J, Xu T, Wang L, Lei P, Dong H, Jin L, Yang Q, Wu W, Sun D. Microbiota-Gut-Brain Axis Dysregulation in Alzheimer's Disease: Multi-Pathway Effects and Therapeutic Potential. Aging Dis 2024; 15:1108-1131. [PMID: 37728579 PMCID: PMC11081173 DOI: 10.14336/ad.2023.0823-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/23/2023] [Indexed: 09/21/2023] Open
Abstract
An essential regulator of neurodegenerative conditions like Alzheimer's disease (AD) is the gut microbiota. Alterations in intestinal permeability brought on by gut microbiota dysregulation encourage neuroinflammation, central immune dysregulation, and peripheral immunological dysregulation in AD, as well as hasten aberrant protein aggregation and neuronal death in the brain. However, it is unclear how the gut microbiota transmits information to the brain and how it influences brain cognition and function. In this review, we summarized the multiple pathways involved in the gut microbiome in AD and provided detailed treatment strategies based on the gut microbiome. Based on these observations, this review also discusses the problems, challenges, and strategies to address current therapeutic strategies.
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Affiliation(s)
- Linkai Qu
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
- College of Veterinary Medicine, Jilin University, Changchun 130118, China.
| | - Yanwei Li
- Core Facilities, Zhejiang University School of Medicine, Hangzhou 310058, China.
| | - Fan Liu
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Yimeng Fang
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Jiaxuan He
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Jiahui Ma
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Ting Xu
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Lei Wang
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Pengyu Lei
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Hao Dong
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China.
| | - Libo Jin
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
| | - Qinsi Yang
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325000, China.
| | - Wei Wu
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400030, China
| | - Da Sun
- Institute of Life Sciences & Biomedical Collaborative Innovation Center of Zhejiang Province, Wenzhou University, Wenzhou 325000, China.
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13
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Nelson ED, Tippani M, Ramnauth AD, Divecha HR, Miller RA, Eagles NJ, Pattie EA, Kwon SH, Bach SV, Kaipa UM, Yao J, Kleinman JE, Collado-Torres L, Han S, Maynard KR, Hyde TM, Martinowich K, Page SC, Hicks SC. An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.26.590643. [PMID: 38712198 PMCID: PMC11071618 DOI: 10.1101/2024.04.26.590643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
The hippocampus contains many unique cell types, which serve the structure's specialized functions, including learning, memory and cognition. These cells have distinct spatial topography, morphology, physiology, and connectivity, highlighting the need for transcriptome-wide profiling strategies that retain cytoarchitectural organization. Here, we generated spatially-resolved transcriptomics (SRT) and single-nucleus RNA-sequencing (snRNA-seq) data from adjacent tissue sections of the anterior human hippocampus across ten adult neurotypical donors. We defined molecular profiles for hippocampal cell types and spatial domains. Using non-negative matrix factorization and transfer learning, we integrated these data to define gene expression patterns within the snRNA-seq data and infer the expression of these patterns in the SRT data. With this approach, we leveraged existing rodent datasets that feature information on circuit connectivity and neural activity induction to make predictions about axonal projection targets and likelihood of ensemble recruitment in spatially-defined cellular populations of the human hippocampus. Finally, we integrated genome-wide association studies with transcriptomic data to identify enrichment of genetic components for neurodevelopmental, neuropsychiatric, and neurodegenerative disorders across cell types, spatial domains, and gene expression patterns of the human hippocampus. To make this comprehensive molecular atlas accessible to the scientific community, both raw and processed data are freely available, including through interactive web applications.
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14
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Akkouh IA, Ueland T, Szabo A, Hughes T, Smeland OB, Andreassen OA, Osete JR, Djurovic S. Longitudinal Transcriptomic Analysis of Human Cortical Spheroids Identifies Axonal Dysregulation in the Prenatal Brain as a Mediator of Genetic Risk for Schizophrenia. Biol Psychiatry 2024; 95:687-698. [PMID: 37661009 DOI: 10.1016/j.biopsych.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 07/28/2023] [Accepted: 08/22/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Schizophrenia (SCZ) has a known neurodevelopmental etiology, but limited access to human prenatal brain tissue hampers the investigation of basic disease mechanisms in early brain development. Here, we elucidate the molecular mechanisms contributing to SCZ risk in a disease-relevant model of the prenatal human brain. METHODS We generated induced pluripotent stem cell-derived organoids, termed human cortical spheroids (hCSs), from a large, genetically stratified sample of 14 SCZ cases and 14 age- and sex-matched controls. The hCSs were differentiated for 150 days, and comprehensive molecular characterization across 4 time points was carried out. RESULTS The transcriptional and cellular architecture of hCSs closely resembled that of fetal brain tissue at 10 to 24 postconception weeks, showing strongest spatial overlap with frontal regions of the cerebral cortex. A total of 3520 genes were differentially modulated between SCZ and control hCSs across organoid maturation, displaying a significant contribution of genetic loading, an overrepresentation of risk genes for autism spectrum disorder and SCZ, and the strongest enrichment for axonal processes in all hCS stages. The two axon guidance genes SEMA7A and SEMA5A, the first a promoter of synaptic functions and the second a repressor, were downregulated and upregulated, respectively, in SCZ hCSs. This expression pattern was confirmed at the protein level and replicated in a large postmortem sample. CONCLUSIONS Applying a disease-relevant model of the developing fetal brain, we identified consistent dysregulation of axonal genes as an early risk factor for SCZ, providing novel insights into the effects of genetic predisposition on the neurodevelopmental origins of the disorder.
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Affiliation(s)
- Ibrahim A Akkouh
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; K.G. Jebsen Thrombosis Research and Expertise Center, University of Tromsø, Tromsø, Norway
| | - Attila Szabo
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Timothy Hughes
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Jordi Requena Osete
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
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15
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Kline CL, Suzuki T, Simmonite M, Taylor SF. Catatonia is associated with higher rates of negative affect amongst patients with schizophrenia and schizoaffective disorder. Schizophr Res 2024; 263:208-213. [PMID: 36114099 DOI: 10.1016/j.schres.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 11/19/2022]
Abstract
Catatonia is a complex syndrome encompassing motor, behavioral, and affective symptoms seen in a significant proportion of patients with schizophrenia. There is growing evidence to suggest affective dysregulation is a salient feature of both catatonia and schizophrenia. To test the hypothesis of a linkage between affective dysregulation and catatonia in schizophrenia, we searched electronic medical records from 36,839 patients with schizophrenia, using anxiety and depression diagnoses as proxies for affective dysregulation. Catatonia was found in 4.7 % of the cohort. Analyses indicated that catatonia was significantly associated with both anxiety and depression co-morbidities: schizophrenia patients with catatonia were 1.71 times more likely to have anxiety and 1.80 times more likely to have depression than those without catatonia. Benzodiazepine usage was also 7.73 times more common in schizophrenia patients with a catatonia diagnosis than without that diagnosis. Taken together, the findings could be related to GABAergic dysfunction underlying schizophrenia, catatonia, and affective dysregulation.
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Affiliation(s)
- Christopher L Kline
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Takakuni Suzuki
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Molly Simmonite
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Stephan F Taylor
- Department of Psychiatry, University of Michigan, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
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16
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Lv Y, Wen L, Hu WJ, Deng C, Ren HW, Bao YN, Su BW, Gao P, Man ZY, Luo YY, Li CJ, Xiang ZX, Wang B, Luan ZL. Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes. Metab Brain Dis 2024; 39:147-171. [PMID: 37542622 DOI: 10.1007/s11011-023-01271-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
Schizophrenia is a devastating neuropsychiatric disorder affecting 1% of the world population and ranks as one of the disorders providing the most severe burden for society. Schizophrenia etiology remains obscure involving multi-risk factors, such as genetic, environmental, nutritional, and developmental factors. Complex interactions of genetic and environmental factors have been implicated in the etiology of schizophrenia. This review provides an overview of the historical origins, pathophysiological mechanisms, diagnosis, clinical symptoms and corresponding treatment of schizophrenia. In addition, as schizophrenia is a polygenic, genetic disorder caused by the combined action of multiple micro-effective genes, we further detail several approaches, such as candidate gene association study (CGAS) and genome-wide association study (GWAS), which are commonly used in schizophrenia genomics studies. A number of GWASs about schizophrenia have been performed with the hope to identify novel, consistent and influential risk genetic factors. Finally, some schizophrenia susceptibility genes have been identified and reported in recent years and their biological functions are also listed. This review may serve as a summary of past research on schizophrenia genomics and susceptibility genes (NRG1, DISC1, RELN, BDNF, MSI2), which may point the way to future schizophrenia genetics research. In addition, depending on the above discovery of susceptibility genes and their exact function, the development and application of antipsychotic drugs will be promoted in the future.
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Affiliation(s)
- Ye Lv
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Lin Wen
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Wen-Juan Hu
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Chong Deng
- Department of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116027, China
| | - Hui-Wen Ren
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Ya-Nan Bao
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Bo-Wei Su
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Ping Gao
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Zi-Yue Man
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Yi-Yang Luo
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Cheng-Jie Li
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Zhi-Xin Xiang
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Bing Wang
- Department of Endocrinology and Metabolism, The Central hospital of Dalian University of Technology, Dalian, 116000, China.
| | - Zhi-Lin Luan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, 116044, China.
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17
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Krishna N, K P S, G K R. Identifying diseases associated with Post-COVID syndrome through an integrated network biology approach. J Biomol Struct Dyn 2024; 42:652-671. [PMID: 36995291 DOI: 10.1080/07391102.2023.2195003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 03/17/2023] [Indexed: 03/31/2023]
Abstract
A growing body of research shows that COVID-19 is now recognized as a multi-organ disease with a wide range of manifestations that can have long-lasting repercussions, referred to as post-COVID-19 syndrome. It is unknown why the vast majority of COVID-19 patients develop post-COVID-19 syndrome, or why patients with pre-existing disorders are more likely to experience severe COVID-19. This study used an integrated network biology approach to obtain a comprehensive understanding of the relationship between COVID-19 and other disorders. The approach involved building a PPI network with COVID-19 genes and identifying highly interconnected regions. The molecular information contained within these subnetworks, as well as the pathway annotations, were used to reveal the link between COVID-19 and other disorders. Using Fisher's exact test and disease-specific gene information, significant COVID-19-disease associations were discovered. The study discovered diseases that affect multiple organs and organ systems, thus proving the theory of multiple organ damage caused by COVID-19. Cancers, neurological disorders, hepatic diseases, cardiac disorders, pulmonary diseases, and hypertensive diseases are just a few of the conditions linked to COVID-19. Pathway enrichment analysis of shared proteins revealed the shared molecular mechanism of COVID-19 and these diseases. The findings of the study shed new light on the major COVID-19-associated disease conditions and how their molecular mechanisms interact with COVID-19. The novelty of studying disease associations in the context of COVID-19 provides new insights into the management of rapidly evolving long-COVID and post-COVID syndromes, which have significant global implications.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Navami Krishna
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Sijina K P
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Rajanikant G K
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
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Soyer-Gobillard MO, Gaspari L, Paris F, Courtet P, Sultan C. Effects of prenatal exposure to synthetic sex hormones on neurodevelopment: a biological mechanism. Front Mol Neurosci 2023; 16:1237429. [PMID: 38025263 PMCID: PMC10666627 DOI: 10.3389/fnmol.2023.1237429] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Since the middle of the 20th century, synthetic sex hormones (estrogens and progestins) have been administered to millions of pregnant or not women worldwide, mainly to avoid miscarriage or for comfort, although their mode of action and their effects on the mother and fetus were ignored. Despite the alerts and the description of somatic and psychiatric disorders in children exposed in utero, synthetic estrogens were prohibited for pregnant women only in the 1970s and 1980s, but some progestins are still authorized. In this review, we summarize the psychiatric disorders described in children exposed in utero to such hormones, focusing particularly on schizophrenia, bipolar disorders, severe depression, eating disorders, suicide and suicide attempts. Moreover, only in 2017 the mechanism of action of these xenohormones has started to be deciphered. Some studies showed that in the fetus exposed in utero, they alter the DNA methylation profile (mainly hypermethylation), and consequently the expression of genes implicated in neurodevelopment and in regulating the sexual organ morphogenesis and also of the promoter of estrogen receptors, located in the amygdala. These deleterious effects may be transmitted also to the next generations, thus affecting the children directly exposed and also the following generations.
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Affiliation(s)
| | - Laura Gaspari
- Unité d’Endocrinologie-Gynécologie Pédiatrique, Service de Pédiatrie, CHU Montpellier, Univ Montpellier, Montpellier, France
- Centre de Référence Maladies Rares du Développement Génital, Constitutif Sud, Hôpital Lapeyronie, CHU Montpellier, Univ Montpellier, Montpellier, France
- INSERM 1203, Développement Embryonnaire Fertilité Environnement, Univ Montpellier, Montpellier, France
| | - Françoise Paris
- Unité d’Endocrinologie-Gynécologie Pédiatrique, Service de Pédiatrie, CHU Montpellier, Univ Montpellier, Montpellier, France
- Centre de Référence Maladies Rares du Développement Génital, Constitutif Sud, Hôpital Lapeyronie, CHU Montpellier, Univ Montpellier, Montpellier, France
- INSERM 1203, Développement Embryonnaire Fertilité Environnement, Univ Montpellier, Montpellier, France
| | - Philippe Courtet
- IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - Charles Sultan
- Unité d’Endocrinologie-Gynécologie Pédiatrique, Service de Pédiatrie, CHU Montpellier, Univ Montpellier, Montpellier, France
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Zhu Y, Zhang Y, Jin Y, Jin H, Huang K, Tong J, Gan H, Rui C, Lv J, Wang X, Wang Q, Tao F. Identification and prediction model of placenta-brain axis genes associated with neurodevelopmental delay in moderate and late preterm children. BMC Med 2023; 21:326. [PMID: 37633927 PMCID: PMC10464496 DOI: 10.1186/s12916-023-03023-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 08/07/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND Moderate and late preterm (MLPT) birth accounts for the vast majority of preterm births, which is a global public health problem. The association between MLPT and neurobehavioral developmental delays in children and the underlying biological mechanisms need to be further revealed. The "placenta-brain axis" (PBA) provides a new perspective for gene regulation and risk prediction of neurodevelopmental delays in MLPT children. METHODS The authors performed multivariate logistic regression models between MLPT and children's neurodevelopmental outcomes, using data from 129 MLPT infants and 3136 full-term controls from the Ma'anshan Birth Cohort (MABC). Furthermore, the authors identified the abnormally regulated PBA-related genes in MLPT placenta by bioinformatics analysis of RNA-seq data and RT-qPCR verification on independent samples. Finally, the authors established the prediction model of neurodevelopmental delay in children with MLPT using multiple machine learning models. RESULTS The authors found an increased risk of neurodevelopmental delay in children with MLPT at 6 months, 18 months, and 48 months, especially in boys. Further verification showed that APOE and CST3 genes were significantly correlated with the developmental levels of gross-motor domain, fine-motor domain, and personal social domain in 6-month-old male MLPT children. CONCLUSIONS These findings suggested that there was a sex-specific association between MLPT and neurodevelopmental delays. Moreover, APOE and CST3 were identified as placental biomarkers. The results provided guidance for the etiology investigation, risk prediction, and early intervention of neurodevelopmental delays in children with MLPT.
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Affiliation(s)
- Yumin Zhu
- Medical School, Nanjing University, Nanjing, Jiangsu, China.
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
| | - Yimin Zhang
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Yunfan Jin
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Heyue Jin
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Kun Huang
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Juan Tong
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Hong Gan
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Chen Rui
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jia Lv
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xianyan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qu'nan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
| | - Fangbiao Tao
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
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20
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Zhang W, Zhang M, Xu Z, Yan H, Wang H, Jiang J, Wan J, Tang B, Liu C, Chen C, Meng Q. Human forebrain organoid-based multi-omics analyses of PCCB as a schizophrenia associated gene linked to GABAergic pathways. Nat Commun 2023; 14:5176. [PMID: 37620341 PMCID: PMC10449845 DOI: 10.1038/s41467-023-40861-2] [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: 03/14/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
Identifying genes whose expression is associated with schizophrenia (SCZ) risk by transcriptome-wide association studies (TWAS) facilitates downstream experimental studies. Here, we integrated multiple published datasets of TWAS, gene coexpression, and differential gene expression analysis to prioritize SCZ candidate genes for functional study. Convergent evidence prioritized Propionyl-CoA Carboxylase Subunit Beta (PCCB), a nuclear-encoded mitochondrial gene, as an SCZ risk gene. However, the PCCB's contribution to SCZ risk has not been investigated before. Using dual luciferase reporter assay, we identified that SCZ-associated SNPs rs6791142 and rs35874192, two eQTL SNPs for PCCB, showed differential allelic effects on transcriptional activities. PCCB knockdown in human forebrain organoids (hFOs) followed by RNA sequencing analysis revealed dysregulation of genes enriched with multiple neuronal functions including gamma-aminobutyric acid (GABA)-ergic synapse. The metabolomic and mitochondrial function analyses confirmed the decreased GABA levels resulted from inhibited tricarboxylic acid cycle in PCCB knockdown hFOs. Multielectrode array recording analysis showed that PCCB knockdown in hFOs resulted into SCZ-related phenotypes including hyper-neuroactivities and decreased synchronization of neural network. In summary, this study utilized hFOs-based multi-omics analyses and revealed that PCCB downregulation may contribute to SCZ risk through regulating GABAergic pathways, highlighting the mitochondrial function in SCZ.
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Affiliation(s)
- Wendiao Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Ming Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
| | - Zhenhong Xu
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Hongye Yan
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Huimin Wang
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Jiamei Jiang
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Juan Wan
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
| | - Beisha Tang
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China
- Department of Neurology, Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China
| | - Chunyu Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, 13210, USA.
| | - Chao Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008, Changsha, Hunan, China.
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan, 410008, China.
- Hunan Key Laboratory of Molecular Precision Medicine, Central South University, Changsha, Hunan, 410008, China.
| | - Qingtuan Meng
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China.
- The First Affiliated Hospital, Clinical Research Center for Immune-Related Encephalopathy of Hunan Province, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China.
- The First Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, 421000, Hengyang, Hunan, China.
- MOE Key Lab of Rare Pediatric Diseases & School of Life Sciences, University of South China, 421001, Hengyang, Hunan, China.
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Constable PA, Lim JKH, Thompson DA. Retinal electrophysiology in central nervous system disorders. A review of human and mouse studies. Front Neurosci 2023; 17:1215097. [PMID: 37600004 PMCID: PMC10433210 DOI: 10.3389/fnins.2023.1215097] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
The retina and brain share similar neurochemistry and neurodevelopmental origins, with the retina, often viewed as a "window to the brain." With retinal measures of structure and function becoming easier to obtain in clinical populations there is a growing interest in using retinal findings as potential biomarkers for disorders affecting the central nervous system. Functional retinal biomarkers, such as the electroretinogram, show promise in neurological disorders, despite having limitations imposed by the existence of overlapping genetic markers, clinical traits or the effects of medications that may reduce their specificity in some conditions. This narrative review summarizes the principal functional retinal findings in central nervous system disorders and related mouse models and provides a background to the main excitatory and inhibitory retinal neurotransmitters that have been implicated to explain the visual electrophysiological findings. These changes in retinal neurochemistry may contribute to our understanding of these conditions based on the findings of retinal electrophysiological tests such as the flash, pattern, multifocal electroretinograms, and electro-oculogram. It is likely that future applications of signal analysis and machine learning algorithms will offer new insights into the pathophysiology, classification, and progression of these clinical disorders including autism, attention deficit/hyperactivity disorder, bipolar disorder, schizophrenia, depression, Parkinson's, and Alzheimer's disease. New clinical applications of visual electrophysiology to this field may lead to earlier, more accurate diagnoses and better targeted therapeutic interventions benefiting individual patients and clinicians managing these individuals and their families.
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Affiliation(s)
- Paul A. Constable
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Jeremiah K. H. Lim
- Discipline of Optometry, School of Allied Health, University of Western Australia, Perth, WA, Australia
| | - Dorothy A. Thompson
- The Tony Kriss Visual Electrophysiology Unit, Clinical and Academic Department of Ophthalmology, Great Ormond Street Hospital for Children NHS Trust, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
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22
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Wu T, Cai W, Chen X. Epigenetic regulation of neurotransmitter signaling in neurological disorders. Neurobiol Dis 2023; 184:106232. [PMID: 37479091 DOI: 10.1016/j.nbd.2023.106232] [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: 06/07/2023] [Revised: 07/09/2023] [Accepted: 07/16/2023] [Indexed: 07/23/2023] Open
Abstract
Neurotransmission signaling is a highly conserved system attributed to various regulatory events. The excitatory and inhibitory neurotransmitter systems have been extensively studied, and their role in neuronal cell proliferation, synaptogenesis and dendrite formation in the adult brain is well established. Recent research has shown that epigenetic regulation plays a crucial role in mediating the expression of key genes associated with neurotransmitter pathways, including neurotransmitter receptor and transporter genes. The dysregulation of these genes has been linked to a range of neurological disorders such as attention-deficit/hyperactivity disorder, Parkinson's disease and schizophrenia. This article focuses on epigenetic regulatory mechanisms that control the expression of genes associated with four major chemical carriers in the brain: dopamine (DA), Gamma-aminobutyric acid (GABA), glutamate and serotonin. Additionally, we explore how aberrant epigenetic regulation of these genes can contribute to the pathogenesis of relevant neurological disorders. By targeting the epigenetic mechanisms that control neurotransmitter gene expression, there is a promising opportunity to advance the development of more effective treatments for neurological disorders with the potential to significantly improve the quality of life of individuals impacted by these conditions.
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Affiliation(s)
- Tingyan Wu
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China
| | - Weili Cai
- School of Medical Technology, Jiangsu College of Nursing, Huai'an 22305, China.
| | - Xi Chen
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China.
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Oprisan SA, Clementsmith X, Tompa T, Lavin A. Empirical mode decomposition of local field potential data from optogenetic experiments. Front Comput Neurosci 2023; 17:1223879. [PMID: 37476356 PMCID: PMC10354259 DOI: 10.3389/fncom.2023.1223879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/19/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction This study investigated the effects of cocaine administration and parvalbumin-type interneuron stimulation on local field potentials (LFPs) recorded in vivo from the medial prefrontal cortex (mPFC) of six mice using optogenetic tools. Methods The local network was subject to a brief 10 ms laser pulse, and the response was recorded for 2 s over 100 trials for each of the six subjects who showed stable coupling between the mPFC and the optrode. Due to the strong non-stationary and nonlinearity of the LFP, we used the adaptive, data-driven, Empirical Mode Decomposition (EMD) method to decompose the signal into orthogonal Intrinsic Mode Functions (IMFs). Results Through trial and error, we found that seven is the optimum number of orthogonal IMFs that overlaps with known frequency bands of brain activity. We found that the Index of Orthogonality (IO) of IMF amplitudes was close to zero. The Index of Energy Conservation (IEC) for each decomposition was close to unity, as expected for orthogonal decompositions. We found that the power density distribution vs. frequency follows a power law with an average scaling exponent of ~1.4 over the entire range of IMF frequencies 2-2,000 Hz. Discussion The scaling exponent is slightly smaller for cocaine than the control, suggesting that neural activity avalanches under cocaine have longer life spans and sizes.
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Affiliation(s)
- Sorinel A. Oprisan
- Department of Physics and Astronomy, College of Charleston, Charleston, SC, United States
| | - Xandre Clementsmith
- Department of Computer Science, College of Charleston, Charleston, SC, United States
| | - Tamas Tompa
- Faculty of Healthcare, Department of Preventive Medicine, University of Miskolc, Miskolc, Hungary
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Antonieta Lavin
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
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Sigvard AK, Bojesen KB, Ambrosen KS, Nielsen MØ, Gjedde A, Tangmose K, Kumakura Y, Edden R, Fuglø D, Jensen LT, Rostrup E, Ebdrup BH, Glenthøj BY. Dopamine Synthesis Capacity and GABA and Glutamate Levels Separate Antipsychotic-Naïve Patients With First-Episode Psychosis From Healthy Control Subjects in a Multimodal Prediction Model. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:500-509. [PMID: 37519478 PMCID: PMC10382695 DOI: 10.1016/j.bpsgos.2022.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/20/2022] [Accepted: 05/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background Disturbances in presynaptic dopamine activity and levels of GABA (gamma-aminobutyric acid) and glutamate plus glutamine collectively may have a role in the pathophysiology of psychosis, although separately they are poor diagnostic markers. We tested whether these neurotransmitters in combination improve the distinction of antipsychotic-naïve patients with first-episode psychosis from healthy control subjects. Methods We included 23 patients (mean age 22.3 years, 9 male) and 20 control subjects (mean age 22.4 years, 8 male). We determined dopamine metabolism in the nucleus accumbens and striatum from 18F-fluorodopa (18F-FDOPA) positron emission tomography. We measured GABA levels in the anterior cingulate cortex (ACC) and glutamate plus glutamine levels in the ACC and left thalamus with 3T proton magnetic resonance spectroscopy. We used binominal logistic regression for unimodal prediction when we modeled neurotransmitters individually and for multimodal prediction when we combined the 3 neurotransmitters. We selected the best combination based on Akaike information criterion. Results Individual neurotransmitters failed to predict group. Three triple neurotransmitter combinations significantly predicted group after Benjamini-Hochberg correction. The best model (Akaike information criterion 48.5) carried 93.5% of the cumulative model weight. It reached a classification accuracy of 83.7% (p = .003) and included dopamine synthesis capacity (Ki4p) in the nucleus accumbens (p = .664), GABA levels in the ACC (p = .019), glutamate plus glutamine levels in the thalamus (p = .678), and the interaction term Ki4p × GABA (p = .016). Conclusions Our multimodal approach proved superior classification accuracy, implying that the pathophysiology of patients represents a combination of neurotransmitter disturbances rather than aberrations in a single neurotransmitter. Particularly aberrant interrelations between Ki4p in the nucleus accumbens and GABA values in the ACC appeared to contribute diagnostic information.
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Affiliation(s)
- Anne K. Sigvard
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Borup Bojesen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Karen S. Ambrosen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Mette Ødegaard Nielsen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Albert Gjedde
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Karen Tangmose
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Yoshitaka Kumakura
- Department of Diagnostic Radiology and Nuclear Medicine, Saitama Medical Center, Saitama Medical University, Japan
| | - Richard Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland
- FM. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Dan Fuglø
- Department of Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Lars Thorbjørn Jensen
- Department of Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Bjørn H. Ebdrup
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birte Yding Glenthøj
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Zeighami Y, Bakken TE, Nickl-Jockschat T, Peterson Z, Jegga AG, Miller JA, Schulkin J, Evans AC, Lein ES, Hawrylycz M. A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases. PLoS Biol 2023; 21:e3002058. [PMID: 37079537 PMCID: PMC10118126 DOI: 10.1371/journal.pbio.3002058] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 03/02/2023] [Indexed: 04/21/2023] Open
Abstract
Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to that disease. Brain diseases can be compared and aggregated based on the similarity of their signatures which often associates diseases from diverse phenotypic classes. Analysis of 40 common human brain diseases identifies 5 major transcriptional patterns, representing tumor-related, neurodegenerative, psychiatric and substance abuse, and 2 mixed groups of diseases affecting basal ganglia and hypothalamus. Further, for diseases with enriched expression in cortex, single-nucleus data in the middle temporal gyrus (MTG) exhibits a cell type expression gradient separating neurodegenerative, psychiatric, and substance abuse diseases, with unique excitatory cell type expression differentiating psychiatric diseases. Through mapping of homologous cell types between mouse and human, most disease risk genes are found to act in common cell types, while having species-specific expression in those types and preserving similar phenotypic classification within species. These results describe structural and cellular transcriptomic relationships of disease risk genes in the adult brain and provide a molecular-based strategy for classifying and comparing diseases, potentially identifying novel disease relationships.
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Affiliation(s)
- Yashar Zeighami
- Douglas Research Centre, Department of Psychiatry, McGill University, Montreal, Canada
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Trygve E. Bakken
- Allen Institute for Brain Science, Seattle, Washington, United States of America
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Neuroscience and Pharmacology, Iowa Neuroscience Institute, University of Iowa, Iowa City, Iowa, United States of America
| | - Zeru Peterson
- Department of Psychiatry, Neuroscience and Pharmacology, Iowa Neuroscience Institute, University of Iowa, Iowa City, Iowa, United States of America
| | - Anil G. Jegga
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Jeremy A. Miller
- Allen Institute for Brain Science, Seattle, Washington, United States of America
| | - Jay Schulkin
- Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington, United States of America
| | - Alan C. Evans
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Ed S. Lein
- Allen Institute for Brain Science, Seattle, Washington, United States of America
| | - Michael Hawrylycz
- Allen Institute for Brain Science, Seattle, Washington, United States of America
- University of Washington, Department of Genome Sciences, Seattle, Washington, United States of America
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26
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Nigg JT. Considerations toward an epigenetic and common pathways theory of mental disorder. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2023; 132:297-313. [PMID: 37126061 PMCID: PMC10153068 DOI: 10.1037/abn0000748] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Psychopathology emerges from the dynamic interplay of physiological and mental processes and ecological context. It can be seen as a failure of recursive, homeostatic processes to achieve adaptive re-equilibrium. This general statement can be actualized with consideration of polygenic liability, early exposures, and multiunit (multi-"level") analysis of the psychological action and the associated physiological and neural operations, all in the context of the developmental exposome. This article begins by identifying key principles and clarifying key terms necessary to mental disorder theory. It then ventures a sketch of a model that highlights epigenetic dynamics and proposes a common pathways hypothesis toward psychopathology. An epigenetic perspective elevates the importance of developmental context and adaptive systems, particularly in early life, while opening the door to new mechanistic discovery. The key proposal is that a finite number of homeostatic biological and psychological mechanisms are shared across most risky environments (and possibly many genetic liabilities) for psychopathology. Perturbation of these mediating mechanisms leads to development of psychopathology. A focus on dynamic changes in these homeostatic mechanisms across multiple units of analysis and time points can render the problem of explaining psychopathology tractable. Key questions include the mapping of recursive processes over time, at adequate density, as mental disorders unfold across development. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Joel T Nigg
- Department of Psychiatry, Oregon Health & Science University
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27
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Zhang W, Zhang M, Xu Z, Yan H, Wang H, Jiang J, Wan J, Tang B, Liu C, Chen C, Meng Q. Human forebrain organoids-based multi-omics analyses reveal PCCB's regulation on GABAergic system contributing to schizophrenia. RESEARCH SQUARE 2023:rs.3.rs-2674668. [PMID: 37034773 PMCID: PMC10081387 DOI: 10.21203/rs.3.rs-2674668/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Identifying genes whose expression is associated with schizophrenia (SCZ) risk by transcriptome-wide association studies (TWAS) facilitates downstream experimental studies. Here, we integrated multiple published datasets of TWAS (including FUSION, PrediXcan, summary-data-based Mendelian randomization (SMR), joint-tissue imputation approach with Mendelian randomization (MR-JTI)), gene coexpression, and differential gene expression analysis to prioritize SCZ candidate genes for functional study. Convergent evidence prioritized Propionyl-CoA Carboxylase Subunit Beta ( PCCB ), a nuclear-encoded mitochondrial gene, as an SCZ risk gene. However, the PCCB ’s contribution to SCZ risk has not been investigated before. Using dual luciferase reporter assay, we identified that SCZ-associated SNP rs35874192, an eQTL SNP for PCCB , showed differential allelic effects on transcriptional activities. PCCB knockdown in human forebrain organoids (hFOs) followed by RNA-seq revealed dysregulation of genes enriched with multiple neuronal functions including gamma-aminobutyric acid (GABA)-ergic synapse, as well as genes dysregulated in postmortem brains of SCZ patients or in cerebral organoids derived from SCZ patients. The metabolomic and mitochondrial function analyses confirmed the deceased GABA levels resulted from reduced tricarboxylic acid cycle in PCCB knockdown hFOs. Multielectrode array recording analysis showed that PCCB knockdown in hFOs resulted into SCZ-related phenotypes including hyper-neuroactivities and decreased synchronization of neural network. In summary, this study utilized hFOs-based multi-omics data and revealed that PCCB downregulation may contribute to SCZ risk through regulating GABAergic system, highlighting the mitochondrial function in SCZ.
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Affiliation(s)
- Wendiao Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University
| | - Ming Zhang
- School of Life Sciences, Central South University
| | - Zhenhong Xu
- The First Affiliated Hospital of University of South China
| | - Hongye Yan
- The First Affiliated Hospital of University of South China
| | - Huimin Wang
- The First Affiliated Hospital of University of South China
| | - Jiamei Jiang
- The First Affiliated Hospital of University of South China
| | - Juan Wan
- The First Affiliated Hospital of University of South China
| | | | | | | | - Qingtuan Meng
- The First Affiliated Hospital of University of South China
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Santarriaga S, Gerlovin K, Layadi Y, Karmacharya R. Human stem cell-based models to study synaptic dysfunction and cognition in schizophrenia: A narrative review. Schizophr Res 2023:S0920-9964(23)00084-1. [PMID: 36925354 PMCID: PMC10500041 DOI: 10.1016/j.schres.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
Cognitive impairment is the strongest predictor of functional outcomes in schizophrenia and is hypothesized to result from synaptic dysfunction. However, targeting synaptic plasticity and cognitive deficits in patients remains a significant clinical challenge. A comprehensive understanding of synaptic plasticity and the molecular basis of learning and memory in a disease context can provide specific targets for the development of novel therapeutics targeting cognitive impairments in schizophrenia. Here, we describe the role of synaptic plasticity in cognition, summarize evidence for synaptic dysfunction in schizophrenia and demonstrate the use of patient derived induced-pluripotent stem cells for studying synaptic plasticity in vitro. Lastly, we discuss current advances and future technologies for bridging basic science research of synaptic dysfunction with clinical and translational research that can be used to predict treatment response and develop novel therapeutics.
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Affiliation(s)
- Stephanie Santarriaga
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kaia Gerlovin
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yasmine Layadi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chimie ParisTech, Université Paris Sciences et Lettres, Paris, France
| | - Rakesh Karmacharya
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
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Treatment-Resistant Schizophrenia, Clozapine Resistance, Genetic Associations, and Implications for Precision Psychiatry: A Scoping Review. Genes (Basel) 2023; 14:genes14030689. [PMID: 36980961 PMCID: PMC10048540 DOI: 10.3390/genes14030689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Treatment-resistant schizophrenia (TRS) is often associated with severe burden of disease, poor quality of life and functional impairment. Clozapine is the gold standard for the treatment of TRS, although it is also known to cause significant side effects in some patients. In view of the burgeoning interest in the role of genetic factors in precision psychiatry, we conducted a scoping review to narratively summarize the current genetic factors associated with TRS, clozapine resistance and side effects to clozapine treatment. We searched PubMed from inception to December 2022 and included 104 relevant studies in this review. Extant evidence comprised associations between TRS and clozapine resistance with genetic factors related to mainly dopaminergic and serotoninergic neurotransmitter systems, specifically, TRS and rs4680, rs4818 within COMT, and rs1799978 within DRD2; clozapine resistance and DRD3 polymorphisms, CYP1A2 polymorphisms; weight gain with LEP and SNAP-25 genes; and agranulocytosis risk with HLA-related polymorphisms. Future studies, including replication in larger multi-site samples, are still needed to elucidate putative risk genes and the interactions between different genes and their correlations with relevant clinical factors such as psychopathology, psychosocial functioning, cognition and progressive changes with treatment over time in TRS and clozapine resistance.
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A Systematic Review of the Human Accelerated Regions in Schizophrenia and Related Disorders: Where the Evolutionary and Neurodevelopmental Hypotheses Converge. Int J Mol Sci 2023; 24:ijms24043597. [PMID: 36835010 PMCID: PMC9962562 DOI: 10.3390/ijms24043597] [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: 12/22/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
Schizophrenia is a psychiatric disorder that results from genetic and environmental factors interacting and disrupting neurodevelopmental trajectories. Human Accelerated Regions (HARs) are evolutionarily conserved genomic regions that have accumulated human-specific sequence changes. Thus, studies on the impact of HARs in the context of neurodevelopment, as well as with respect to adult brain phenotypes, have increased considerably in the last few years. Through a systematic approach, we aim to offer a comprehensive review of HARs' role in terms of human brain development, configuration, and cognitive abilities, as well as whether HARs modulate the susceptibility to neurodevelopmental psychiatric disorders such as schizophrenia. First, the evidence in this review highlights HARs' molecular functions in the context of the neurodevelopmental regulatory genetic machinery. Second, brain phenotypic analyses indicate that HAR genes' expression spatially correlates with the regions that suffered human-specific cortical expansion, as well as with the regional interactions for synergistic information processing. Lastly, studies based on candidate HAR genes and the global "HARome" variability describe the involvement of these regions in the genetic background of schizophrenia, but also in other neurodevelopmental psychiatric disorders. Overall, the data considered in this review emphasise the crucial role of HARs in human-specific neurodevelopment processes and encourage future research on this evolutionary marker for a better understanding of the genetic basis of schizophrenia and other neurodevelopmental-related psychiatric disorders. Accordingly, HARs emerge as interesting genomic regions that require further study in order to bridge the neurodevelopmental and evolutionary hypotheses in schizophrenia and other related disorders and phenotypes.
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Lam P, Newland J, Faull RLM, Kwakowsky A. Cation-Chloride Cotransporters KCC2 and NKCC1 as Therapeutic Targets in Neurological and Neuropsychiatric Disorders. Molecules 2023; 28:1344. [PMID: 36771011 PMCID: PMC9920462 DOI: 10.3390/molecules28031344] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/21/2023] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
Neurological diseases including Alzheimer's, Huntington's disease, Parkinson's disease, Down syndrome and epilepsy, and neuropsychiatric disorders such as schizophrenia, are conditions that affect not only individuals but societies on a global scale. Current therapies offer a means for small symptomatic relief, but recently there has been increasing demand for therapeutic alternatives. The γ-aminobutyric acid (GABA)ergic signaling system has been investigated for developing new therapies as it has been noted that any dysfunction or changes to this system can contribute to disease progression. Expression of the K-Cl-2 (KCC2) and N-K-C1-1 (NKCC1) cation-chloride cotransporters (CCCs) has recently been linked to the disruption of GABAergic activity by affecting the polarity of GABAA receptor signaling. KCC2 and NKCC1 play a part in multiple neurological and neuropsychiatric disorders, making them a target of interest for potential therapies. This review explores current research suggesting the pathophysiological role and therapeutic importance of KCC2 and NKCC1 in neuropsychiatric and neurological disorders.
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Affiliation(s)
- Patricia Lam
- Centre for Brain Research, Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand
| | - Julia Newland
- Centre for Brain Research, Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand
| | - Richard L. M. Faull
- Centre for Brain Research, Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand
| | - Andrea Kwakowsky
- Centre for Brain Research, Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand
- Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, University of Galway, H91 W5P7 Galway, Ireland
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Mukherjee D, Kanold PO. Changing subplate circuits: Early activity dependent circuit plasticity. Front Cell Neurosci 2023; 16:1067365. [PMID: 36713777 PMCID: PMC9874351 DOI: 10.3389/fncel.2022.1067365] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/16/2022] [Indexed: 01/12/2023] Open
Abstract
Early neural activity in the developing sensory system comprises spontaneous bursts of patterned activity, which is fundamental for sculpting and refinement of immature cortical connections. The crude early connections that are initially refined by spontaneous activity, are further elaborated by sensory-driven activity from the periphery such that orderly and mature connections are established for the proper functioning of the cortices. Subplate neurons (SPNs) are one of the first-born mature neurons that are transiently present during early development, the period of heightened activity-dependent plasticity. SPNs are well integrated within the developing sensory cortices. Their structural and functional properties such as relative mature intrinsic membrane properties, heightened connectivity via chemical and electrical synapses, robust activation by neuromodulatory inputs-place them in an ideal position to serve as crucial elements in monitoring and regulating spontaneous endogenous network activity. Moreover, SPNs are the earliest substrates to receive early sensory-driven activity from the periphery and are involved in its modulation, amplification, and transmission before the maturation of the direct adult-like thalamocortical connectivity. Consequently, SPNs are vulnerable to sensory manipulations in the periphery. A broad range of early sensory deprivations alters SPN circuit organization and functions that might be associated with long term neurodevelopmental and psychiatric disorders. Here we provide a comprehensive overview of SPN function in activity-dependent development during early life and integrate recent findings on the impact of early sensory deprivation on SPNs that could eventually lead to neurodevelopmental disorders.
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Affiliation(s)
- Didhiti Mukherjee
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Patrick O. Kanold
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States,Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, United States,*Correspondence: Patrick O. Kanold ✉
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Micale V, Di Bartolomeo M, Di Martino S, Stark T, Dell'Osso B, Drago F, D'Addario C. Are the epigenetic changes predictive of therapeutic efficacy for psychiatric disorders? A translational approach towards novel drug targets. Pharmacol Ther 2023; 241:108279. [PMID: 36103902 DOI: 10.1016/j.pharmthera.2022.108279] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 02/06/2023]
Abstract
The etiopathogenesis of mental disorders is not fully understood and accumulating evidence support that clinical symptomatology cannot be assigned to a single gene mutation, but it involves several genetic factors. More specifically, a tight association between genes and environmental risk factors, which could be mediated by epigenetic mechanisms, may play a role in the development of mental disorders. Several data suggest that epigenetic modifications such as DNA methylation, post-translational histone modification and interference of microRNA (miRNA) or long non-coding RNA (lncRNA) may modify the severity of the disease and the outcome of the therapy. Indeed, the study of these mechanisms may help to identify patients particularly vulnerable to mental disorders and may have potential utility as biomarkers to facilitate diagnosis and treatment of psychiatric disorders. This article summarizes the most relevant preclinical and human data showing how epigenetic modifications can be central to the therapeutic efficacy of antidepressant and/or antipsychotic agents, as possible predictor of drugs response.
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Affiliation(s)
- Vincenzo Micale
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Martina Di Bartolomeo
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Serena Di Martino
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Tibor Stark
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; Scientific Core Unit Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences 'Luigi Sacco', University of Milan, Milan, Italy, Department of Mental Health, ASST Fatebenefratelli-Sacco, Milan, Italy; "Aldo Ravelli" Research Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, University of Milan Medical School, Milan, Italy; Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Claudio D'Addario
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Seol S, Kwon J, Kang HJ. Cell type characterization of spatiotemporal gene co-expression modules in Down syndrome brain. iScience 2022; 26:105884. [PMID: 36647384 PMCID: PMC9840153 DOI: 10.1016/j.isci.2022.105884] [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: 07/20/2022] [Revised: 11/02/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Down syndrome (DS) is the most common genetic cause of intellectual disability and increases the risk of other brain-related dysfunctions, like seizures, early-onset Alzheimer's disease, and autism. To reveal the molecular profiles of DS-associated brain phenotypes, we performed a meta-data analysis of the developmental DS brain transcriptome at cell type and co-expression module levels. In the DS brain, astrocyte-, microglia-, and endothelial cell-associated genes show upregulated patterns, whereas neuron- and oligodendrocyte-associated genes show downregulated patterns. Weighted gene co-expression network analysis identified cell type-enriched co-expressed gene modules. We present eight representative cell-type modules for neurons, astrocytes, oligodendrocytes, and microglia. We classified the neuron modules into glutamatergic and GABAergic neurons and associated them with detailed subtypes. Cell type modules were interpreted by analyzing spatiotemporal expression patterns, functional annotations, and co-expression networks of the modules. This study provides insight into the mechanisms underlying brain abnormalities in DS and related disorders.
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Affiliation(s)
- Sihwan Seol
- Department of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea
| | - Joonhong Kwon
- Department of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea
| | - Hyo Jung Kang
- Department of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea,Corresponding author
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Bi J, Wang W, Zhang M, Zhang B, Liu M, Su G, Chen F, Chen B, Shi T, Zheng Y, Zhao X, Zhao Z, Shi J, Li P, Zhang L, Lu W. KLF4 inhibits early neural differentiation of ESCs by coordinating specific 3D chromatin structure. Nucleic Acids Res 2022; 50:12235-12250. [PMID: 36477888 PMCID: PMC9757050 DOI: 10.1093/nar/gkac1118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 10/27/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022] Open
Abstract
Neural differentiation of embryonic stem cells (ESCs) requires precisely orchestrated gene regulation, a process governed in part by changes in 3D chromatin structure. How these changes regulate gene expression in this context remains unclear. In this study, we observed enrichment of the transcription factor KLF4 at some poised or closed enhancers at TSS-linked regions of genes associated with neural differentiation. Combination analysis of ChIP, HiChIP and RNA-seq data indicated that KLF4 loss in ESCs induced changes in 3D chromatin structure, including increased chromatin interaction loops between neural differentiation-associated genes and active enhancers, leading to upregulated expression of neural differentiation-associated genes and therefore early neural differentiation. This study suggests KLF4 inhibits early neural differentiation by regulation of 3D chromatin structure, which is a new mechanism of early neural differentiation.
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Affiliation(s)
| | | | - Meng Zhang
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Baoying Zhang
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Man Liu
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Guangsong Su
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Fuquan Chen
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Bohan Chen
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Tengfei Shi
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Yaoqiang Zheng
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Xueyuan Zhao
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Zhongfang Zhao
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Jiandang Shi
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Peng Li
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071 Tianjin, China
| | - Lei Zhang
- Correspondence may also be addressed to Lei Zhang. Tel: +86 22 23503617; Fax: +86 22 23503617;
| | - Wange Lu
- To whom correspondence should be addressed. Tel: +86 22 23503617; Fax: +86 22 23503617;
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Nascimento JM, Saia-Cereda VM, Zuccoli GS, Reis-de-Oliveira G, Carregari VC, Smith BJ, Rehen SK, Martins-de-Souza D. Proteomic signatures of schizophrenia-sourced iPSC-derived neural cells and brain organoids are similar to patients' postmortem brains. Cell Biosci 2022; 12:189. [PMID: 36451159 PMCID: PMC9714120 DOI: 10.1186/s13578-022-00928-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Schizophrenia is a complex and severe neuropsychiatric disorder, with a wide range of debilitating symptoms. Several aspects of its multifactorial complexity are still unknown, and some are accepted to be an early developmental deficiency with a more specifically neurodevelopmental origin. Understanding the timepoints of disturbances during neural cell differentiation processes could lead to an insight into the development of the disorder. In this context, human brain organoids and neural cells differentiated from patient-derived induced pluripotent stem cells are of great interest as a model to study the developmental origins of the disease. RESULTS Here we evaluated the differential expression of proteins of schizophrenia patient-derived neural progenitors (NPCs), early neurons, and brain organoids in comparison to healthy individuals. Using bottom-up shotgun proteomics with a label-free approach for quantitative analysis, we found multiple dysregulated proteins since NPCs, modified, and disrupted the 21DIV neuronal differentiation, and cerebral organoids. Our experimental methods have shown impairments in pathways never before found in patient-derived induced pluripotent stem cells studies, such as spliceosomes and amino acid metabolism; but also, those such as axonal guidance and synaptogenesis, in line with postmortem tissue studies of schizophrenia patients. CONCLUSION In conclusion, here we provide comprehensive, large-scale, protein-level data of different neural cell models that may uncover early events in brain development, underlying several of the mechanisms within the origins of schizophrenia.
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Affiliation(s)
- Juliana Minardi Nascimento
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil ,grid.472984.4D’Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30, Rio de Janeiro, RJ 22281-100 Brazil ,grid.411249.b0000 0001 0514 7202Department of Biosciences, Institute Science and Society, Federal University of São Paulo (UNIFESP), Santos, SP Brazil
| | - Verônica M. Saia-Cereda
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil
| | - Giuliana S. Zuccoli
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil
| | - Guilherme Reis-de-Oliveira
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil
| | - Victor Corasolla Carregari
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil
| | - Bradley J. Smith
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil
| | - Stevens K. Rehen
- grid.472984.4D’Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30, Rio de Janeiro, RJ 22281-100 Brazil ,grid.8536.80000 0001 2294 473XInstitute of Biology, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ Brazil
| | - Daniel Martins-de-Souza
- grid.411087.b0000 0001 0723 2494Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato, Campinas, SP 255, 13083-862 Brazil ,grid.472984.4D’Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30, Rio de Janeiro, RJ 22281-100 Brazil ,grid.450640.30000 0001 2189 2026Instituto Nacional de Biomarcadores Em Neuropsiquiatria (INBION), Conselho Nacional de Desenvolvimento Científico E Tecnológico (CNPq), São Paulo, Brazil ,grid.411087.b0000 0001 0723 2494Experimental Medicine Research Cluster (EMRC), University of Campinas, Campinas, SP 13083-970 Brazil
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Balog M, Anderson A, Gurumurthy CB, Quadros RM, Korade Z, Mirnics K. Knock-in mouse models for studying somatostatin and cholecystokinin expressing cells. J Neurosci Methods 2022; 381:109704. [PMID: 36070817 DOI: 10.1016/j.jneumeth.2022.109704] [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: 07/18/2022] [Revised: 08/29/2022] [Accepted: 09/01/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Somatostatin (SST) and cholecystokinin (CCK) are peptide hormones that regulate the endocrine system, cell proliferation and neurotransmission. NEW METHOD We utilized the novel Easi-CRISPR system to generate two knock-in mouse strains with Cre recombinase in SST- and CCK-expressing cells and validated their utility in the developing and adult brain tissues. RESULTS The full nomenclature for the newly generated strains are C57BL/6-Sstem1(P2A-iCre-T2A-mCherry)Mirn and C57BL/6-Cckem1(iCre-T2A-mCherry-P2A)Mirn. For the Sst locus, a P2A-iCre-T2A-mCherry cassette was inserted immediately upstream of the stop codon (C terminus fusion). For the Cck locus, iCre-P2A-mCherry-T2A cassette was inserted at the start codon (N terminus fusion). Knock-in mice were generated using the Easi-CRISPR method. Developmental and adult SST and CCK expressions were preserved and showed an appropriate expression pattern in both models, with an active fluorescent tag in both animal lines. COMPARISON WITH EXISTING METHODS Knock-in mouse models to study cell types that produce these critically important molecules are limited to date. The knock-in mice we generated can be used as reporters to study development, physiology, or pathophysiology of SST and CCK expressing cells - without interference with native expression of SST and CCK. In addition, they can be used as Cre driver models to conditionally delete floxed genes in SST and CCK expressing cells across various tissues. CONCLUSIONS These two mouse models serve as valuable tools for in vitro and in vivo research studies related to SST and CCK biology across the lifespan and across different tissue types.
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Affiliation(s)
- Marta Balog
- Munroe-Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center Omaha, NE, USA; Department of Medical Biology and Genetics, Faculty of Medicine, University of Osijek, Osijek, Croatia
| | - Allison Anderson
- Munroe-Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center Omaha, NE, USA
| | - Channabasavaiah B Gurumurthy
- Mouse Genome Engineering Core Facility, University of Nebraska Medical Center, Omaha, NE, USA; Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Rolen M Quadros
- Mouse Genome Engineering Core Facility, University of Nebraska Medical Center, Omaha, NE, USA
| | - Zeljka Korade
- Department of Pediatrics, University of Nebraska Medical Center Omaha, NE, USA; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center Omaha, NE, USA; Child Health Research Institute, University of Nebraska Medical Center Omaha, NE, USA.
| | - Karoly Mirnics
- Munroe-Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center Omaha, NE, USA; Department of Pharmacology and Experimental Neuroscience, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA; Department of Pediatrics, University of Nebraska Medical Center Omaha, NE, USA; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center Omaha, NE, USA; Child Health Research Institute, University of Nebraska Medical Center Omaha, NE, USA.
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Lee J, Song S, Lee J, Kang J, Choe EK, Lee TY, Chon MW, Kim M, Kim SW, Chun MS, Chang MS, Kwon JS. Impaired migration of autologous induced neural stem cells from patients with schizophrenia and implications for genetic risk for psychosis. Schizophr Res 2022; 246:225-234. [PMID: 35810486 DOI: 10.1016/j.schres.2022.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 04/27/2022] [Accepted: 06/22/2022] [Indexed: 01/27/2023]
Abstract
Stem cell technologies have presented explicit evidence of the neurodevelopmental hypothesis of schizophrenia. However, few studies investigated relevance of the schizophrenia genetic liability and the use of genetic reprogramming on pluripotent stem cells to the impaired neurodevelopment shown by stem cells. Therefore, this study sought to investigate the cellular phenotypes of induced neural stem cells (iNSCs) derived without genetic modification from patients with schizophrenia and from genetic high risk (GHR) individuals. Three patients with a diagnosis of schizophrenia, 3 GHR individuals who had two or more relatives with schizophrenia, and 3 healthy volunteers participated. iNSCs were derived using a small molecule-based lineage switch method, and their gene expression levels and migration capabilities were examined. Demographic characteristics were not different among the groups (age, χ2 = 5.637, P = .060; education, χ2 = 2.111, P = .348). All participants stayed well during the follow-up except one GHR individual who developed psychosis 1.5 years later. Migration capacity was impaired in iNSCs from patients with schizophrenia (SZ-iNSCs) compared to iNSCs from GHR individuals or controls (P < .001). iNSCs from a GHR individual who later developed schizophrenia showed migratory impairment that was similar to SZ-iNSCs. Gene expression levels of Sox2 in SZ-iNSCs were significantly lower than those in controls (P = .028). Defective migration in genetically unmodified SZ-iNSCs is the first direct demonstration of neurodevelopmental abnormalities in schizophrenia. Additionally, alterations in gene expression in SZ-iNSCs suggest mechanisms by which genetic liability leads to aberrant neurodevelopment.
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Affiliation(s)
- Junhee Lee
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, 03080 Seoul, Republic of Korea; Department of Psychiatry, Uijeongbu Eulji Medical Center, 11759 Uijeongbu, Republic of Korea
| | - Sehyeon Song
- Laboratory of Stem Cell & Neurobiology, Department of Oral Anatomy, Dental Research Institute and School of Dentistry, Seoul National University, 03080 Seoul, Republic of Korea; Interdisciplinary Program in Neuroscience, Seoul National University College of Natural Sciences, 08826 Seoul, Republic of Korea
| | - Juhee Lee
- Laboratory of Stem Cell & Neurobiology, Department of Oral Anatomy, Dental Research Institute and School of Dentistry, Seoul National University, 03080 Seoul, Republic of Korea
| | - Jisoo Kang
- Laboratory of Stem Cell & Neurobiology, Department of Oral Anatomy, Dental Research Institute and School of Dentistry, Seoul National University, 03080 Seoul, Republic of Korea
| | - Eun Kyung Choe
- Department of Surgery, Seoul National University Hospital Healthcare System Gangnam Center, 06236 Seoul, Republic of Korea
| | - Tae Young Lee
- Department of Neuropsychiatry, Pusan National University Yangsan Hospital, 50612 Yangsan, Republic of Korea
| | - Myong-Wuk Chon
- National Center for Mental Health, 04933 Seoul, Republic of Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, 03080 Seoul, Republic of Korea
| | - Seong Who Kim
- Department of Biochemistry and Molecular Biology, University of Ulsan College of Medicine, 05505 Seoul, Republic of Korea
| | - Myung-Suk Chun
- National Agenda Research Division, Korea Institute of Science and Technology, 02792 Seoul, Republic of Korea
| | - Mi-Sook Chang
- Laboratory of Stem Cell & Neurobiology, Department of Oral Anatomy, Dental Research Institute and School of Dentistry, Seoul National University, 03080 Seoul, Republic of Korea; Interdisciplinary Program in Neuroscience, Seoul National University College of Natural Sciences, 08826 Seoul, Republic of Korea; Neuroscience Research Institute, Seoul National University, 03080 Seoul, Republic of Korea.
| | - Jun Soo Kwon
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, 03080 Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, 03080 Seoul, Republic of Korea; Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, 08826 Seoul, Republic of Korea.
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Investigating the Role of GABA in Neural Development and Disease Using Mice Lacking GAD67 or VGAT Genes. Int J Mol Sci 2022; 23:ijms23147965. [PMID: 35887307 PMCID: PMC9318753 DOI: 10.3390/ijms23147965] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/12/2022] [Accepted: 07/16/2022] [Indexed: 11/18/2022] Open
Abstract
Normal development and function of the central nervous system involves a balance between excitatory and inhibitory neurotransmission. Activity of both excitatory and inhibitory neurons is modulated by inhibitory signalling of the GABAergic and glycinergic systems. Mechanisms that regulate formation, maturation, refinement, and maintenance of inhibitory synapses are established in early life. Deviations from ideal excitatory and inhibitory balance, such as down-regulated inhibition, are linked with many neurological diseases, including epilepsy, schizophrenia, anxiety, and autism spectrum disorders. In the mammalian forebrain, GABA is the primary inhibitory neurotransmitter, binding to GABA receptors, opening chloride channels and hyperpolarizing the cell. We review the involvement of down-regulated inhibitory signalling in neurological disorders, possible mechanisms for disease progression, and targets for therapeutic intervention. We conclude that transgenic models of disrupted inhibitory signalling—in GAD67+/− and VGAT−/− mice—are useful for investigating the effects of down-regulated inhibitory signalling in a range of neurological diseases.
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Kaur S, Espenhahn S, Bell T, Godfrey KJ, Nwaroh C, Giuffre A, Cole L, Beltrano W, Yan T, Stokoe M, Haynes L, Hou TY, Tommerdahl M, Bray S, Harris AD. Nonlinear age effects in tactile processing from early childhood to adulthood. Brain Behav 2022; 12:e2644. [PMID: 35676225 PMCID: PMC9304836 DOI: 10.1002/brb3.2644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Tactile processing plays a pivotal role in the early stages of human development; however, little is known about tactile function in young children. An understanding of how tactile processing changes with age from early childhood to adulthood is fundamental in understanding altered tactile experiences in neurodevelopmental disorders, such as autism spectrum disorder. METHODS In this cross-sectional study, 142 children and adults aged 3-23 years completed a vibrotactile testing battery consisting of 5 tasks, which rely on different cortical and cognitive mechanisms. The battery was designed to be suitable for testing in young children to investigate how tactile processing changes from early childhood to adulthood. RESULTS Our results suggest a pattern of rapid, age-related changes in tactile processing toward lower discrimination thresholds (lower discrimination thresholds = greater sensitivity) across early childhood, though we acknowledge limitations with cross-sectional data. Differences in the rate of change across tasks were observed, with tactile performance reaching adult-like levels at a younger age on some tasks compared to others. CONCLUSIONS While it is known that early childhood is a period of profound development including tactile processing, our data provides evidence for subtle differences in the developmental rate of the various underlying cortical, physical, and cognitive processes. Further, we are the first to show the feasibility of vibrotactile testing in early childhood (<6 years). The results of this work provide estimates of age-related differences in performance, which could have important implications as a reference for investigating altered tactile processing in developmental disorders.
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Affiliation(s)
- Sakshi Kaur
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tiffany Bell
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kate J Godfrey
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Chidera Nwaroh
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Adrianna Giuffre
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Lauran Cole
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Winnica Beltrano
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tingting Yan
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mehak Stokoe
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Logan Haynes
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tasha Yuntao Hou
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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Chen Y, Li S, Zhang T, Yang F, Lu B. Corticosterone antagonist or TrkB agonist attenuates schizophrenia-like behavior in a mouse model combining Bdnf-e6 deficiency and developmental stress. iScience 2022; 25:104609. [PMID: 35789832 PMCID: PMC9250029 DOI: 10.1016/j.isci.2022.104609] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/16/2022] [Accepted: 06/08/2022] [Indexed: 12/17/2022] Open
Affiliation(s)
- Yanhui Chen
- School of Pharmaceutical Sciences, IDG/McGovern Institute for Brain Research, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shangjin Li
- School of Pharmaceutical Sciences, IDG/McGovern Institute for Brain Research, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Tianyi Zhang
- School of Pharmaceutical Sciences, IDG/McGovern Institute for Brain Research, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Feng Yang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100084, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
| | - Bai Lu
- School of Pharmaceutical Sciences, IDG/McGovern Institute for Brain Research, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Corresponding author
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42
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Xue X, Pan J, Zhang H, Lu Y, Mao Q, Ma K. Baihe Dihuang (Lilium Henryi Baker and Rehmannia Glutinosa) decoction attenuates somatostatin interneurons deficits in prefrontal cortex of depression via miRNA-144-3p mediated GABA synthesis and release. JOURNAL OF ETHNOPHARMACOLOGY 2022; 292:115218. [PMID: 35337919 DOI: 10.1016/j.jep.2022.115218] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 03/19/2022] [Accepted: 03/19/2022] [Indexed: 06/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Baihe Dihuang Decoction is a well-known traditional Chinese medicine prescription (Also known as Lilium Henryi Baker and Rehmannia Glutinosa Decoction, LBRD) composed of Lilium Henryi Baker bulb and raw juice from Rehmannia Glutinosa (Gaertn) DC with the curative efficacy of nourishing yin and clearing heat based on the Chinese herbal medicine theory. It has been used as routine medication in treating depression combined with conventional western medicine in China for years. AIM OF THE STUDY LBRD can attenuates GABAergic deficits in the medial prefrontal cortex (mPFC) of depression. This study aimed to investigate the mechanism of antidepressive properties of LBRD in the prefrontal GABAergic interneuron subtypes, including parvalbumin (PV), somatostatin (SST), vasoactive intestinal peptide (VIP)-positive neuron. MATERIALS AND METHODS In this project, chronic unpredicted mild stress paradigm was adopted to construct depression model. After treated with LBRD standard decoction and behaviors test, the level of GABA associated miRNA/mRNA and GABAergic subtype-specific markers were detected by qRT-PCR and Western blot. The lncRNAs/miRNAs/GABA regulatory axis was verified by luciferase reporter assay, RNA immunoprecipitation, RNA pull-down assay, and theses changes were measured in LBRD administration with the use of immunofluorescence staining and RNA-fluorescence in situ hybridization. RESULTS In the current study, we found that LBRD exhibited high efficacy based on the results of behavioral tests. Meanwhile, LBRD also improved the reduced GABA levels in depression by increasing the expression of lncRNA Neat1 and Malat1, as well as decreasing miRNA-144-3p and miRNA-15b-5p. Moreover, the level of Sst mRNA and protein that were harvested from the mPFC tissues of depression group was significantly lower than those in the control mice. While, these changes can be reverted by LBRD standard decoction administration. Whereas, neither chronic stress nor treatment can change the level of PV and VIP mRNAs and protein expression. In the SST-positive neuron of mPFC tissues, treatment with LBRD standard decoction resulted in the elevation of Gad-67, VGAT, GAT-3 and a reduction of miRNA-144-3p expression. CONCLUSIONS These findings suggested that LBRD antidepressant activities may be related to ameliorating the SST-positive neuron deficits via regulating the miRNA-144-3p mediated GABA synthesis and release.
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Affiliation(s)
- Xiaoyan Xue
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China
| | - Jin Pan
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China
| | - Hongxiu Zhang
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China; Institute of Virology, Jinan Municipal Center for Disease Control and Prevention, Jinan, 250021, PR China
| | - Yanting Lu
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China
| | - Qiancheng Mao
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China
| | - Ke Ma
- Shandong Co-Innovation Center of Classic TCM Formula, Shandong University of Traditional Chinese Medicine, Jinan, 250355, PR China.
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Influence of Menstrual Cycle Length and Age at Menarche on Symptoms, Cognition, Social Cognition, and Metacognition in Patients with First-Episode Psychosis. WOMEN 2022. [DOI: 10.3390/women2020015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
A protective effect has traditionally been attributed to estrogen in psychotic disorders. The aim of this study was to investigate cumulative lifetime estrogen by assessing the menstrual cycle length, age at menarche, and years of difference between the onset of psychotic symptoms and the age of menarche, measuring their effects on symptoms, cognition, social cognition, and metacognition. As it was not possible to directly measure cumulative estrogen levels over the lifetime of a patient, the study sample was composed of 42 women with first-episode psychosis; estrogen levels were inferred by the menstrual cycle length, age at menarche, and years of difference between the onset of psychotic symptoms and menarche. All patients were assessed with a battery of questionnaires using the BDI, PSYRATS, PANSS, STROOP, TAVEC, WSCT, IPSAQ, and BCIS questionnaires. The results related to menstrual cycle length showed a relationship with memory; specifically, shorter cycles with semantic strategies (p = 0.046) and longer cycles with serial strategies in the short term (p = 0.005) as well as in the long term (p = 0.031). The results also showed a relationship with perseverative errors (p = 0.035) and self-certainty (p = 0.049). Only personalized bias (p = 0.030) was found to be significant in relation to the age at menarche. When analyzing the differences in years of difference between the age at menarche and the onset of psychotic symptoms, the results indicated lower scores in women with a smaller difference between both events in memory (short-term (p = 0.050), long-term (p = 0.024), intrusions (p = 0.013), and recognition (p = 0.043)) and non-perseverative errors (p = 0.024). No relationship was found between symptoms and menstrual characteristics. The investigatory outcomes seem to indicate a relationship between estrogen cumulative effects and the memory domain. More in-depth investigations in the field are necessary in order to improve personalized treatment in women with psychosis.
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Iwakura Y, Kawahara-Miki R, Kida S, Sotoyama H, Gabdulkhaev R, Takahashi H, Kunii Y, Hino M, Nagaoka A, Izumi R, Shishido R, Someya T, Yabe H, Kakita A, Nawa H. Elevation of EGR1/zif268, a Neural Activity Marker, in the Auditory Cortex of Patients with Schizophrenia and its Animal Model. Neurochem Res 2022; 47:2715-2727. [PMID: 35469366 DOI: 10.1007/s11064-022-03599-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 02/06/2023]
Abstract
The family of epidermal growth factor (EGF) including neuregulin-1 are implicated in the neuropathology of schizophrenia. We established a rat model of schizophrenia by exposing perinatal rats to EGF and reported that the auditory pathophysiological traits of this model such as prepulse inhibition, auditory steady-state response, and mismatch negativity are relevant to those of schizophrenia. We assessed the activation status of the auditory cortex in this model, as well as that in patients with schizophrenia, by monitoring the three neural activity-induced proteins: EGR1 (zif268), c-fos, and Arc. Among the activity markers, protein levels of EGR1 were significantly higher at the adult stage in EGF model rats than those in control rats. The group difference was observed despite an EGF model rat and a control rat being housed together, ruling out the contribution of rat vocalization effects. These changes in EGR1 levels were seen to be specific to the auditory cortex of this model. The increase in EGR1 levels were detectable at the juvenile stage and continued until old ages but displayed a peak immediately after puberty, whereas c-fos and Arc levels were nearly indistinguishable between groups at all ages with an exception of Arc decrease at the juvenile stage. A similar increase in EGR1 levels was observed in the postmortem superior temporal cortex of patients with schizophrenia. The commonality of the EGR1 increase indicates that the EGR1 elevation in the auditory cortex might be one of the molecular signatures of this animal model and schizophrenia associating with hallucination.
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Affiliation(s)
- Yuriko Iwakura
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan.
- Department of Brain Tumor Biology, Brain Research Institute, Niigata University, 1-757 Asahimachi-Dori, Chuo-ku, Niigata City, Niigata, 951-8585, Japan.
| | | | - Satoshi Kida
- Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan
- Department of Bioscience, Faculty of Life Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Hidekazu Sotoyama
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Ramil Gabdulkhaev
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hitoshi Takahashi
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Yasuto Kunii
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Atsuko Nagaoka
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Ryuta Izumi
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Risa Shishido
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Toshiyuki Someya
- Department of Psychiatry, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hiroyuki Nawa
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan
- Department of Physiological Sciences, School of Pharmaceutical Sciences, Wakayama Medical University, Wakayama, Japan
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45
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Miyazawa A, Kanahara N, Shiko Y, Ozawa Y, Kawasaki Y, Komatsu H, Masumo Y, Nakata Y, Iyo M. The cortical silent period in schizophrenia: A systematic review and meta-analysis focusing on disease stage and antipsychotic medication. J Psychopharmacol 2022; 36:479-488. [PMID: 35475374 DOI: 10.1177/02698811221078751] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Although numerous studies reported some changes of cortical silent period (CSP), an indicator of gamma-aminobutyric acid (GABA) function in central nervous system, in schizophrenia patients, it has been unknown how the disease stage and antipsychotic medication affect CSP values. METHODS The present study conducted a systematic review of previous literature comparing CSP between schizophrenia patients and healthy subjects, and then performed meta-analysis on the effects of (1) the disease stage and (2) antipsychotics on CSP. RESULTS (1) In the comparison of the disease stage comprising a total of 17 reports, there was no significant difference in CSP between patients under drug-naïve first-episode psychoses and healthy controls, or between patients with antipsychotic medication and healthy controls. (2) In the comparison of the antipsychotic class, patients treated with clozapine were longer in CSP compared to healthy controls. Patients treated with olanzapine/quetiapine or with other type of antipsychotics were not different from healthy controls. Regarding other type of antipsychotics, the iteration analysis after leaving out one literature showed that patients were shorter in CSP than healthy controls. CONCLUSION The results showed that clozapine seems to surely prolong CSP, indicating the enhancement of GABA transmission via GABAB receptors, suggesting the possible relationship between the CSP prolongation by clozapine and its high efficacy in psychopathology. The finding of shorter CSP in patients with other type of antipsychotics was distinct from clozapine/olanzapine/quetiapine, but was difficult to interpret since this group included a variety of transcranial magnetic stimulation (TMS) methodologies and patients' background.
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Affiliation(s)
- Atsuhiro Miyazawa
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Nobuhisa Kanahara
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan.,Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan
| | - Yuki Shiko
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Yoshihito Ozawa
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Yohei Kawasaki
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Hiroshi Komatsu
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yuto Masumo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yusuke Nakata
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Masaomi Iyo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
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Lee KG, Rajakumar N. Partial ablation of frontal cortical subplate leads to developmental abnormalities in KCC2 in the prefrontal cortex. Mol Cell Neurosci 2022; 120:103733. [DOI: 10.1016/j.mcn.2022.103733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 04/20/2022] [Accepted: 04/23/2022] [Indexed: 10/18/2022] Open
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Abstract
Neurexin-3 is primarily localized in the presynaptic membrane and forms complexes with various ligands located in the postsynaptic membrane. Neurexin-3 has important roles in synapse development and synapse functions. Neurexin-3 mediates excitatory presynaptic differentiation by interacting with leucine-rich-repeat transmembrane neuronal proteins. Meanwhile, neurexin-3 modulates the expression of presynaptic α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptors and γ-aminobutyric acid A receptors by interacting with neuroligins at excitatory and inhibitory synapses. Numerous studies have documented the potential contribution of neurexin-3 to neurodegenerative and neuropsychiatric disorders, such as Alzheimer's disease, addiction behaviors, and other diseases, which raises hopes that understanding the mechanisms of neurexin-3 may hold the key to developing new strategies for related illnesses. This review comprehensively covers the literature to provide current knowledge of the structure, function, and clinical role of neurexin-3.
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Park G, Jeon SJ, Ko IO, Park JH, Lee KC, Kim MS, Shin CY, Kim H, Lee YS. Decreased in vivo glutamate/GABA ratio correlates with the social behavior deficit in a mouse model of autism spectrum disorder. Mol Brain 2022; 15:19. [PMID: 35183218 PMCID: PMC8858545 DOI: 10.1186/s13041-022-00904-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/08/2022] [Indexed: 12/29/2022] Open
Abstract
To diagnose autism spectrum disorder (ASD), researchers have sought biomarkers whose alterations correlate with the susceptibility to ASD. However, biomarkers closely related to the pathophysiology of ASD are lacking. Even though excitation/inhibition (E/I) imbalance has been suggested as an underlying mechanism of ASD, few studies have investigated the actual ratio of glutamate (Glu) to γ-aminobutyric acid (GABA) concentration in vivo. Moreover, there are controversies in the directions of E/I ratio alterations even in extensively studied ASD animal models. Here, using proton magnetic resonance spectroscopy (1H-MRS) at 9.4T, we found significant differences in the levels of different metabolites or their ratios in the prefrontal cortex and hippocampus of Cntnap2−/− mice compared to their wild-type littermates. The Glu/GABA ratio, N-acetylaspartate (NAA)/total creatine (tCr) ratio, and tCr level in the prefrontal cortex were significantly different in Cntnap2−/− mice compared to those in wild-type mice, and they significantly correlated with the sociability of mice. Moreover, receiver operating characteristic (ROC) analyses indicated high specificity and selectivity of these metabolites in discriminating genotypes. These results suggest that the lowered Glu/GABA ratio in the prefrontal cortex along with the changes in the other metabolites might contribute to the social behavior deficit in Cntnap2−/− mice. Our results also demonstrate the utility of 1H-MRS in investigating the underlying mechanisms or the diagnosis of ASD.
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Li Y, Ma C, Li S, Wang J, Li W, Yang Y, Li X, Liu J, Yang J, Liu Y, Li K, Li J, Huang D, Chen R, Lv L, Xiao X, Li M, Luo X. Regulatory Variant rs2535629 in ITIH3 Intron Confers Schizophrenia Risk By Regulating CTCF Binding and SFMBT1 Expression. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104786. [PMID: 34978167 PMCID: PMC8867204 DOI: 10.1002/advs.202104786] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Genome-wide association studies have identified 3p21.1 as a robust risk locus for schizophrenia. However, the underlying molecular mechanisms remain elusive. Here a functional regulatory variant (rs2535629) is identified that disrupts CTCF binding at 3p21.1. It is confirmed that rs2535629 is also significantly associated with schizophrenia in Chinese population and the regulatory effect of rs2535629 is validated. Expression quantitative trait loci analysis indicates that rs2535629 is associated with the expression of three distal genes (GLT8D1, SFMBT1, and NEK4) in the human brain, and CRISPR-Cas9-mediated genome editing confirmed the regulatory effect of rs2535629 on GLT8D1, SFMBT1, and NEK4. Interestingly, differential expression analysis of GLT8D1, SFMBT1, and NEK4 suggested that rs2535629 may confer schizophrenia risk by regulating SFMBT1 expression. It is further demonstrated that Sfmbt1 regulates neurodevelopment and dendritic spine density, two key pathological characteristics of schizophrenia. Transcriptome analysis also support the potential role of Sfmbt1 in schizophrenia pathogenesis. The study identifies rs2535629 as a plausibly causal regulatory variant at the 3p21.1 risk locus and demonstrates the regulatory mechanism and biological effect of this functional variant, indicating that this functional variant confers schizophrenia risk by altering CTCF binding and regulating expression of SFMBT1, a distal gene which plays important roles in neurodevelopment and synaptic morphogenesis.
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Affiliation(s)
- Yifan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Changguo Ma
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Yunnan Key Laboratory for Basic Research on Bone and Joint Diseases & Yunnan Stem Cell Translational Research CenterKunming UniversityKunmingYunnan650214China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Junyang Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Wenqiang Li
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Yongfeng Yang
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Xiaoyan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of EducationInstitutes of Physical Science and Information TechnologyAnhui UniversityHefeiAnhui230601China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Jinfeng Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Yixing Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Kaiqin Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Jiao Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Di Huang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Rui Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
| | - Luxian Lv
- Henan Mental HospitalThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenan453002China
- Henan Key Lab of Biological PsychiatryInternational Joint Research Laboratory for Psychiatry and Neuroscience of HenanXinxiang Medical UniversityXinxiangHenan453002China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
| | - Xiong‐Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan ProvinceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
- Kunming College of Life ScienceUniversity of Chinese Academy of SciencesKunmingYunnan650204China
- Center for Excellence in Animal Evolution and GeneticsChinese Academy of SciencesKunmingYunnan650204China
- KIZ‐CUHK Joint Laboratory of Bioresources and Molecular Research in Common DiseasesKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan650204China
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The Role of OXT, OXTR, AVP, and AVPR1a Gene Expression in the Course of Schizophrenia. Curr Issues Mol Biol 2022; 44:336-349. [PMID: 35723404 PMCID: PMC8929099 DOI: 10.3390/cimb44010025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/03/2022] [Accepted: 01/08/2022] [Indexed: 01/04/2023] Open
Abstract
Schizophrenia is a serious and chronic mental illness, the symptoms of which usually appear for the first time in late adolescence or early adulthood. To date, much research has been conducted on the etiology of schizophrenia; however, it is still not fully understood. Oxytocin and vasopressin as neuromodulators that regulate social and emotional behavior are promising candidates for determining the vulnerability to schizophrenia. The aim of this study was to evaluate the expression of OXT, OXTR, AVP, and AVPR1a genes at the mRNA and protein levels in patients with schizophrenia. Due to the neurodegenerative nature of schizophrenia, the study group was divided into two subgroups, namely, G1 with a diagnosis that was made between 10 and 15 years after the onset of the illness, and G2 with a diagnosis made up to two years after the onset of the illness. Moreover, the relationship between the examined genes and the severity of schizophrenia symptoms, assessed using PANSS (Positive and Negative Syndrome Scale) and CDSS scales (Clinical Depression Scale for Schizophrenia) was evaluated. The analysis of the expression of the studied genes at the mRNA and protein levels showed statistically significant differences in the expression of all the investigated genes. OXT and AVPR1a gene expression at both the mRNA and protein levels were significantly lower in the schizophrenia group, and OXTR and AVP gene expression at both the mRNA and protein levels was higher in the schizophrenia subjects than in the controls. Furthermore, a significant correlation of OXT gene expression at the mRNA and protein levels with the severity of depressive symptoms in schizophrenia as assessed by CDSS was found.
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