1
|
Ganapathiraju MK, Triptish B, Deshpande S, Wesesky M, Wood J, Nimgaonkar VL. Schizophrenia interactome derived repurposable drugs and randomized control trials of two candidates. Biol Psychiatry 2024:S0006-3223(24)01426-4. [PMID: 38950808 DOI: 10.1016/j.biopsych.2024.06.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/29/2024] [Accepted: 06/09/2024] [Indexed: 07/03/2024]
Abstract
There is a substantial unmet need for effective and patient-acceptable drugs to treat severe mental illnesses like schizophrenia. Computational analysis of genomic, transcriptomic, and pharmacologic data generated in the past two decades enables repurposing of drugs or compounds with acceptable safety profiles, namely those that are FDA-approved or reached late stages in clinical trials. We developed a rational approach to achieve this computationally for schizophrenia by studying drugs that target the proteins in its protein interaction network ('interactome'). This involved contrasting the transcriptomic modulations observed in the disorder and the drug; our analyses resulted in 12 candidate drugs, 9 of which had additional supportive evidence: their target networks were enriched for pathways relevant to schizophrenia etiology or for genes that had an association with diseases pathogenically similar to schizophrenia. To translate these computational results to the clinic, these shortlisted drugs must be tested empirically through randomized controlled trials (RCT), where their prior safety approvals obviate the need for time-consuming phase I and II studies. We selected two among the shortlisted candidates based on likely adherence and side effect profiles. We are testing them through adjunctive RCTs for patients with schizophrenia or schizoaffective disorder who experienced incomplete resolution of psychotic features with conventional treatment. The integrated computational analysis for identifying and ranking drugs for clinical trials can be iterated as additional data are obtained. Our approach could be expanded to enable disease subtype-specific drug discovery in future and should also be exploited for other psychiatric disorders.
Collapse
Affiliation(s)
- Madhavi K Ganapathiraju
- Department of Biomedical Informatics and Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA; Carnegie Mellon University in Qatar, Doha, Qatar.
| | - Bhatia Triptish
- Dept. of Psychiatry, Centre of Excellence in Mental Health, ABVIMS- Dr Ram Manohar Lohia Hospital, New Delhi 110001, India
| | - Smita Deshpande
- Department of Psychiatry, St John's Medical College Hospital, Koramangala, Bengaluru, Karnataka 560034, India
| | - Maribeth Wesesky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vishwajit L Nimgaonkar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Veterans Administration Pittsburgh Healthcare System, Pittsburgh, PA, USA.
| |
Collapse
|
2
|
Vornholt E, Liharska LE, Cheng E, Hashemi A, Park YJ, Ziafat K, Wilkins L, Silk H, Linares LM, Thompson RC, Sullivan B, Moya E, Nadkarni GN, Sebra R, Schadt EE, Kopell BH, Charney AW, Beckmann ND. Characterizing cell type specific transcriptional differences between the living and postmortem human brain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.01.24306590. [PMID: 38746297 PMCID: PMC11092720 DOI: 10.1101/2024.05.01.24306590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Single-nucleus RNA sequencing (snRNA-seq) is often used to define gene expression patterns characteristic of brain cell types as well as to identify cell type specific gene expression signatures of neurological and mental illnesses in postmortem human brains. As methods to obtain brain tissue from living individuals emerge, it is essential to characterize gene expression differences associated with tissue originating from either living or postmortem subjects using snRNA-seq, and to assess whether and how such differences may impact snRNA-seq studies of brain tissue. To address this, human prefrontal cortex single nuclei gene expression was generated and compared between 31 samples from living individuals and 21 postmortem samples. The same cell types were consistently identified in living and postmortem nuclei, though for each cell type, a large proportion of genes were differentially expressed between samples from postmortem and living individuals. Notably, estimation of cell type proportions by cell type deconvolution of pseudo-bulk data was found to be more accurate in samples from living individuals. To allow for future integration of living and postmortem brain gene expression, a model was developed that quantifies from gene expression data the probability a human brain tissue sample was obtained postmortem. These probabilities are established as a means to statistically account for the gene expression differences between samples from living and postmortem individuals. Together, the results presented here provide a deep characterization of both differences between snRNA-seq derived from samples from living and postmortem individuals, as well as qualify and account for their effect on common analyses performed on this type of data.
Collapse
|
3
|
Ni P, Zhou C, Liang S, Jiang Y, Liu D, Shao Z, Noh H, Zhao L, Tian Y, Zhang C, Wei J, Li X, Yu H, Ni R, Yu X, Qi X, Zhang Y, Ma X, Deng W, Guo W, Wang Q, Sham PC, Chung S, Li T. YBX1-Mediated DNA Methylation-Dependent SHANK3 Expression in PBMCs and Developing Cortical Interneurons in Schizophrenia. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300455. [PMID: 37211699 PMCID: PMC10369273 DOI: 10.1002/advs.202300455] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/05/2023] [Indexed: 05/23/2023]
Abstract
Schizophrenia (SCZ) is a severe psychiatric and neurodevelopmental disorder. The pathological process of SCZ starts early during development, way before the first onset of psychotic symptoms. DNA methylation plays an important role in regulating gene expression and dysregulated DNA methylation is involved in the pathogenesis of various diseases. The methylated DNA immunoprecipitation-chip (MeDIP-chip) is performed to investigate genome-wide DNA methylation dysregulation in peripheral blood mononuclear cells (PBMCs) of patients with first-episode SCZ (FES). Results show that the SHANK3 promoter is hypermethylated, and this hypermethylation (HyperM) is negatively correlated with the cortical surface area in the left inferior temporal cortex and positively correlated with the negative symptom subscores in FES. The transcription factor YBX1 is further found to bind to the HyperM region of SHANK3 promoter in induced pluripotent stem cells (iPSCs)-derived cortical interneurons (cINs) but not glutamatergic neurons. Furthermore, a direct and positive regulatory effect of YBX1 on the expression of SHANK3 is confirmed in cINs using shRNAs. In summary, the dysregulated SHANK3 expression in cINs suggests the potential role of DNA methylation in the neuropathological mechanism underlying SCZ. The results also suggest that HyperM of SHANK3 in PBMCs can serve as a potential peripheral biomarker of SCZ.
Collapse
Affiliation(s)
- Peiyan Ni
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
- Department of PsychiatryMcLean Hospital/Harvard Medical SchoolBelmontMA02478USA
- Department of Cell Biology and AnatomyNew York Medical CollegeValhallaNY10595USA
| | - Chuqing Zhou
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Sugai Liang
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
| | - Youhui Jiang
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Dongxin Liu
- Department of Cell Biology and AnatomyNew York Medical CollegeValhallaNY10595USA
| | - Zhicheng Shao
- Department of PsychiatryMcLean Hospital/Harvard Medical SchoolBelmontMA02478USA
| | - Haneul Noh
- Department of PsychiatryMcLean Hospital/Harvard Medical SchoolBelmontMA02478USA
- Department of Cell Biology and AnatomyNew York Medical CollegeValhallaNY10595USA
| | - Liansheng Zhao
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Yang Tian
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Chengcheng Zhang
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Jinxue Wei
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Xiaojing Li
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Hua Yu
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Rongjun Ni
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Xueli Yu
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐Machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang310058China
| | - Xueyu Qi
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐Machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang310058China
| | - Yamin Zhang
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Xiaohong Ma
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Wei Deng
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐Machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang310058China
| | - Wanjun Guo
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐Machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang310058China
| | - Qiang Wang
- The Mental Health Center and Psychiatric LaboratoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu610041P. R. China
| | - Pak C. Sham
- Department of PsychiatryLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong, SAR999077China
- Centre for PanorOmic SciencesThe University of Hong KongHong Kong, SAR999077China
| | - Sangmi Chung
- Department of PsychiatryMcLean Hospital/Harvard Medical SchoolBelmontMA02478USA
- Department of Cell Biology and AnatomyNew York Medical CollegeValhallaNY10595USA
| | - Tao Li
- Department of NeurobiologyAffiliated Mental Health Center & Hangzhou Seventh People's HospitalZhejiang University School of MedicineHangzhouZhejiang310058China
- NHC and CAMS Key Laboratory of Medical NeurobiologyMOE Frontier Science Center for Brain Science and Brain‐Machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang310058China
| |
Collapse
|
4
|
Reshetnikov VV, Kisaretova PE, Bondar NP. Transcriptome Alterations Caused by Social Defeat Stress of Various Durations in Mice and Its Relevance to Depression and Posttraumatic Stress Disorder in Humans: A Meta-Analysis. Int J Mol Sci 2022; 23:ijms232213792. [PMID: 36430271 PMCID: PMC9698544 DOI: 10.3390/ijms232213792] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 11/11/2022] Open
Abstract
The research on molecular causes of stress-associated psychopathologies is becoming highly important because the number of people with depression, generalized anxiety disorder and posttraumatic stress disorders (PTSDs) is steadily increasing every year. Investigation of molecular mechanisms in animal models opens up broad prospects for researchers, but relevant molecular signatures can differ significantly between patients and animal models. In our work, we for the first time carried out a meta-analysis of transcriptome changes in the prefrontal cortex of C57BL/6 mice after 10 and 30 days of social defeat stress (SDS). We then examined possible correlations of these alterations with transcriptome changes found in post-mortem samples from patients with depression or PTSD. Although transcriptional signatures of human psychiatric disorders and SDS did not overlap substantially, our results allowed us to identify the most reproducible changes seen after SDS of various durations. In addition, we were able to identify the genes involved in susceptibility to SDS after 10 days of stress. Taken together, these data help us to elucidate the molecular changes induced by SDS depending on its duration as well as their relevance to the alterations found in depression or PTSD in humans.
Collapse
Affiliation(s)
- Vasiliy V. Reshetnikov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Biotechnology, Sirius University of Science and Technology, 1 Olympic Avenue, Sochi 354340, Russia
- Correspondence: ; Tel.: +7-913-715-0695
| | - Polina E. Kisaretova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Pirogova Street 2, Novosibirsk 630090, Russia
| | - Natalia P. Bondar
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Akad. Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Pirogova Street 2, Novosibirsk 630090, Russia
| |
Collapse
|
5
|
Denham AN, Drake J, Gavrilov M, Taylor ZN, Bacanu SA, Vladimirov VI. Long Non-Coding RNAs: The New Frontier into Understanding the Etiology of Alcohol Use Disorder. Noncoding RNA 2022; 8:59. [PMID: 36005827 PMCID: PMC9415279 DOI: 10.3390/ncrna8040059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 11/28/2022] Open
Abstract
Alcohol use disorder (AUD) is a complex, chronic, debilitating condition impacting millions worldwide. Genetic, environmental, and epigenetic factors are known to contribute to the development of AUD. Long non-coding RNAs (lncRNAs) are a class of regulatory RNAs, commonly referred to as the "dark matter" of the genome, with little to no protein-coding potential. LncRNAs have been implicated in numerous processes critical for cell survival, suggesting that they play important functional roles in regulating different cell processes. LncRNAs were also shown to display higher tissue specificity than protein-coding genes and have a higher abundance in the brain and central nervous system, demonstrating a possible role in the etiology of psychiatric disorders. Indeed, genetic (e.g., genome-wide association studies (GWAS)), molecular (e.g., expression quantitative trait loci (eQTL)) and epigenetic studies from postmortem brain tissues have identified a growing list of lncRNAs associated with neuropsychiatric and substance use disorders. Given that the expression patterns of lncRNAs have been associated with widespread changes in the transcriptome, including methylation, chromatin architecture, and activation or suppression of translational activity, the regulatory nature of lncRNAs may be ubiquitous and an innate component of gene regulation. In this review, we present a synopsis of the functional impact that lncRNAs may play in the etiology of AUD. We also discuss the classifications of lncRNAs, their known functional roles, and therapeutic advancements in the field of lncRNAs to further clarify the functional relationship between lncRNAs and AUD.
Collapse
Affiliation(s)
- Allie N. Denham
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, TX 77807, USA
- Department of Psychiatry, College of Medicine, University of Arizona Phoenix, Phoenix, AZ 85004, USA
| | - John Drake
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, TX 77807, USA
- Department of Psychiatry, College of Medicine, University of Arizona Phoenix, Phoenix, AZ 85004, USA
- MSCI Program, Texas A&M University, Bryan, TX 77807, USA
| | - Matthew Gavrilov
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, TX 77807, USA
| | - Zachary N. Taylor
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, TX 77807, USA
- Department of Psychiatry, College of Medicine, University of Arizona Phoenix, Phoenix, AZ 85004, USA
| | - Silviu-Alin Bacanu
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23219, USA
- Departent of Psychiatry, Virginia Commonwealth University, Richmond, VA 23219, USA
| | - Vladimir I. Vladimirov
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, Bryan, TX 77807, USA
- Department of Psychiatry, College of Medicine, University of Arizona Phoenix, Phoenix, AZ 85004, USA
- Departent of Psychiatry, Virginia Commonwealth University, Richmond, VA 23219, USA
- Texas A&M Institute for Neuroscience, College Station, Texas A&M University, College Station, TX 77843, USA
- Genetics Interdisciplinary Program, College Station, Texas A&M University, College Station, TX 77843, USA
- Lieber Institute for Brain Development, Johns Hopkins University, Baltimore, MD 21205, USA
| |
Collapse
|
6
|
Vornholt E, Drake J, Mamdani M, McMichael G, Taylor ZN, Bacanu S, Miles MF, Vladimirov VI. Identifying a novel biological mechanism for alcohol addiction associated with circRNA networks acting as potential miRNA sponges. Addict Biol 2021; 26:e13071. [PMID: 34164896 PMCID: PMC8590811 DOI: 10.1111/adb.13071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 04/21/2021] [Accepted: 05/31/2021] [Indexed: 12/11/2022]
Abstract
Our lab and others have shown that chronic alcohol use leads to gene and miRNA expression changes across the mesocorticolimbic (MCL) system. Circular RNAs (circRNAs) are noncoding RNAs that form closed-loop structures and are reported to alter gene expression through miRNA sequestration, thus providing a potentially novel neurobiological mechanism for the development of alcohol dependence (AD). Genome-wide expression of circRNA was assessed in the nucleus accumbens (NAc) from 32 AD-matched cases/controls. Significant circRNAs (unadj. p ≤ 0.05) were identified via regression and clustered in circRNA networks via weighted gene co-expression network analysis (WGCNA). CircRNA interactions with previously generated mRNA and miRNA were detected via correlation and bioinformatic analyses. Significant circRNAs (N = 542) clustered in nine significant AD modules (FWER p ≤ 0.05), within which we identified 137 circRNA hubs. We detected 23 significant circRNA-miRNA-mRNA interactions (FDR ≤ 0.10). Among these, circRNA-406742 and miR-1200 significantly interact with the highest number of mRNA, including genes associated with neuronal functioning and alcohol addiction (HRAS, PRKCB, HOMER1, and PCLO). Finally, we integrate genotypic information that revealed 96 significant circRNA expression quantitative trait loci (eQTLs) (unadj. p ≤ 0.002) that showed significant enrichment within recent alcohol use disorder (AUD) and smoking genome-wide association study (GWAS). To our knowledge, this is the first study to examine the role of circRNA in the neuropathology of AD. We show that circRNAs impact mRNA expression by interacting with miRNA in the NAc of AD subjects. More importantly, we provide indirect evidence for the clinical importance of circRNA in the development of AUD by detecting a significant enrichment of our circRNA eQTLs among GWAS of substance abuse.
Collapse
Affiliation(s)
- Eric Vornholt
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
- Integrative Life Sciences Doctoral ProgramVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - John Drake
- Department of Psychiatry and Behavioral SciencesTexas A&M UniversityCollege StationTexasUSA
| | - Mohammed Mamdani
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Gowon McMichael
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Zachary N. Taylor
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Silviu‐Alin Bacanu
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of PsychiatryVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Michael F. Miles
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
- VCU‐Alcohol Research CenterVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of Pharmacology and ToxicologyVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of NeurologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Vladimir I. Vladimirov
- Virginia Institute for Psychiatric and Behavioral GeneticsVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Center for Biomarker Research and Precision MedicineVirginia Commonwealth UniversityRichmondVirginiaUSA
- Department of Physiology & BiophysicsVirginia Commonwealth UniversityRichmondVirginiaUSA
- School of PharmacyVirginia Commonwealth UniversityRichmondVirginiaUSA
- Lieber Institute for Brain DevelopmentJohns Hopkins UniversityBaltimoreMarylandUSA
| |
Collapse
|
7
|
Dalvie S, Chatzinakos C, Al Zoubi O, Georgiadis F, Lancashire L, Daskalakis NP. From genetics to systems biology of stress-related mental disorders. Neurobiol Stress 2021; 15:100393. [PMID: 34584908 PMCID: PMC8456113 DOI: 10.1016/j.ynstr.2021.100393] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/22/2021] [Accepted: 09/08/2021] [Indexed: 01/20/2023] Open
Abstract
Many individuals will be exposed to some form of traumatic stress in their lifetime which, in turn, increases the likelihood of developing stress-related disorders such as post-traumatic stress disorder (PTSD), major depressive disorder (MDD) and anxiety disorders (ANX). The development of these disorders is also influenced by genetics and have heritability estimates ranging between ∼30 and 70%. In this review, we provide an overview of the findings of genome-wide association studies for PTSD, depression and ANX, and we observe a clear genetic overlap between these three diagnostic categories. We go on to highlight the results from transcriptomic and epigenomic studies, and, given the multifactorial nature of stress-related disorders, we provide an overview of the gene-environment studies that have been conducted to date. Finally, we discuss systems biology approaches that are now seeing wider utility in determining a more holistic view of these complex disorders.
Collapse
Affiliation(s)
- Shareefa Dalvie
- South African Medical Research Council (SAMRC), Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC), Unit on Child & Adolescent Health, Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
| | - Chris Chatzinakos
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
| | - Obada Al Zoubi
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
| | - Foivos Georgiadis
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
| | | | - Lee Lancashire
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
- Department of Data Science, Cohen Veterans Bioscience, New York, USA
| | - Nikolaos P. Daskalakis
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA
| |
Collapse
|
8
|
Cerebral Organoids-Challenges to Establish a Brain Prototype. Cells 2021; 10:cells10071790. [PMID: 34359959 PMCID: PMC8306666 DOI: 10.3390/cells10071790] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/06/2021] [Accepted: 07/13/2021] [Indexed: 12/21/2022] Open
Abstract
The new cellular models based on neural cells differentiated from induced pluripotent stem cells have greatly enhanced our understanding of human nervous system development. Highly efficient protocols for the differentiation of iPSCs into different types of neural cells have allowed the creation of 2D models of many neurodegenerative diseases and nervous system development. However, the 2D culture of neurons is an imperfect model of the 3D brain tissue architecture represented by many functionally active cell types. The development of protocols for the differentiation of iPSCs into 3D cerebral organoids made it possible to establish a cellular model closest to native human brain tissue. Cerebral organoids are equally suitable for modeling various CNS pathologies, testing pharmacologically active substances, and utilization in regenerative medicine. Meanwhile, this technology is still at the initial stage of development.
Collapse
|
9
|
No changes of expression of GPR56 protein in the parietal cortex, cerebellum, and liver from psychiatric disorders. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2021. [DOI: 10.1016/j.jadr.2020.100065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
|
10
|
DeLisi LE. What a Clinician Should Know About the Neurobiology of Schizophrenia: A Historical Perspective to Current Understanding. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2020; 18:368-374. [PMID: 33343248 PMCID: PMC7725146 DOI: 10.1176/appi.focus.20200022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The brain is no doubt the "organ" of psychiatry; yet, over the years, few evidence-based classifications of psychiatric disorders have been based on brain mechanisms. The National Institute of Mental Health notably proposed one such system, known as Research Domain Criteria, although it has not yet influenced any changes in the DSM. Of all the major psychiatric disorders, the brain has been studied most extensively in schizophrenia, with its speculative pathology first documented by Emil Kraepelin as early as the beginning of the 20th century. Subsequently, the revolution in technology over the past 50 years has changed how investigators are able to view the brain before death without performing biopsies. Schizophrenia is thus found to have both structural and functional widespread brain anomalies that likely lead to its clinical deterioration. At the onset of illness, acquiring an MRI scan could be part of the routine evaluation to determine how progressive the disease has so far been. However, this practice is not yet recognized by the American Psychiatric Association in any of its guidelines on the treatment of schizophrenia.
Collapse
Affiliation(s)
- Lynn E DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, and Cambridge Health Alliance, Cambridge Hospital, Cambridge, Massachusetts
| |
Collapse
|
11
|
Zhang J, Tan Y, Chang L, Hammock BD, Hashimoto K. Increased expression of soluble epoxide hydrolase in the brain and liver from patients with major psychiatric disorders: A role of brain - liver axis. J Affect Disord 2020; 270:131-134. [PMID: 32339103 PMCID: PMC7243919 DOI: 10.1016/j.jad.2020.03.070] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 01/21/2020] [Accepted: 03/22/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND Soluble epoxide hydrolase (sEH) in the metabolism of polyunsaturated fatty acids might play a role in the pathogenesis of major psychiatric disorders. Here we studied whether expression of sEH protein is altered in the postmortem samples (parietal cortex, and liver) from patients with major psychiatric disorders. METHODS Protein expression of sEH in the parietal cortex and liver from control, major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) groups was measured. RESULTS Levels of sEH in the parietal cortex and liver from MDD, BD, and SZ groups were significantly higher than the control group. Interestingly, there was a positive correlation between sEH protein in the parietal cortex and sEH protein the liver in all groups. LIMITATIONS The small number in each group may limit our interpretation. CONCLUSIONS This study shows that the increased expression of sEH in the brain and liver might play a role in the pathogenesis of major psychiatric disorders, suggesting a role of brain - liver axis in major psychiatric disorders.
Collapse
Affiliation(s)
- Jiancheng Zhang
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan,Department of Critical Care Medicine (Dr. Zhang), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, P.R. China
| | - Yunfei Tan
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan
| | - Lijia Chang
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba 260-8670, Japan
| | - Bruce D. Hammock
- Department of Entomology and Nematology, and UCD Comprehensive Cancer Center, University of California, Davis, CA 95616, USA
| | - Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, 260-8670, Japan.
| |
Collapse
|