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Lu T, Chen Y, Yoshiji S, Ilboudo Y, Forgetta V, Zhou S, Greenwood CMT. Circulating Metabolite Abundances Associated With Risks of Bipolar Disorder, Schizophrenia, and Depression: A Mendelian Randomization Study. Biol Psychiatry 2024; 96:782-791. [PMID: 38705554 DOI: 10.1016/j.biopsych.2024.04.016] [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: 08/30/2023] [Revised: 04/19/2024] [Accepted: 04/23/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Preventive measures and treatments for psychiatric disorders are limited. Circulating metabolites are potential candidates for biomarker and therapeutic target identification, given their measurability and essential roles in biological processes. METHODS Leveraging large-scale genome-wide association studies, we conducted Mendelian randomization analyses to assess the associations between circulating metabolite abundances and the risks of bipolar disorder, schizophrenia, and depression. Genetic instruments were selected for 94 metabolites measured in the Canadian Longitudinal Study on Aging cohort (N = 8299). We repeated Mendelian randomization analyses based on the UK Biobank, INTERVAL, and EPIC (European Prospective Investigation into Cancer)-Norfolk studies. RESULTS After validating Mendelian randomization assumptions and colocalization evidence, we found that a 1 SD increase in genetically predicted circulating abundances of eicosapentaenoate and docosapentaenoate was associated with odds ratios of 0.72 (95% CI, 0.65-0.79) and 0.63 (95% CI, 0.55-0.72), respectively, for bipolar disorder. Genetically increased Ω-3 unsaturated fatty acids abundance and Ω-3-to-total fatty acids ratio, as well as genetically decreased Ω-6-to-Ω-3 ratio, were negatively associated with the risk of bipolar disorder in the UK Biobank. Genetically increased circulating abundances of 3 N-acetyl-amino acids were associated with an increased risk of schizophrenia with a maximum odds ratio of 1.31 (95% CI, 1.18-1.44) per 1 SD increase. Furthermore, a 1 SD increase in genetically predicted circulating abundance of hypotaurine was associated with an odds ratio of 0.85 (95% CI, 0.78-0.93) for depression. CONCLUSIONS The biological mechanisms that underlie Ω-3 unsaturated fatty acids, NAT8-catalyzed N-acetyl-amino acids, and hypotaurine warrant exploration to identify new biomarkers and potential therapeutic targets.
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Affiliation(s)
- Tianyuan Lu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.
| | - Yiheng Chen
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Five Prime Sciences Inc., Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Satoshi Yoshiji
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; Kyoto-McGill International Collaborative Program in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Japan Society for the Promotion of Science, Tokyo, Japan
| | - Yann Ilboudo
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | | | - Sirui Zhou
- Department of Human Genetics, McGill University, Montréal, Québec, Canada; McGill Genome Centre, McGill University, Montréal, Québec, Canada
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Gerald Bronfman Department of Oncology, McGill University, Montréal, Québec, Canada.
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Mostafa IM, Mohamed AA, Alahmadi Y, Shehata AM, Almikhlafi MA, Omar MA. Facile, eco-friendly and sensitive fluorimetric approach for detection of chlorpromazine: Application in biological fluids and tablet formulations as well as greenness evaluation of the analytical method. LUMINESCENCE 2024; 39:e4897. [PMID: 39252443 DOI: 10.1002/bio.4897] [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: 06/21/2024] [Revised: 07/30/2024] [Accepted: 09/01/2024] [Indexed: 09/11/2024]
Abstract
Monitoring antipsychotic drugs in biological fluids, such as human serum and urine, is important for ensuring the safety and efficacy of psychiatric treatments. This process helps maintain therapeutic drug levels, minimize side effects, and optimize patient well-being. Chlorpromazine (CZ) is a widely prescribed antipsychotic drug used for conditions like schizophrenia, bipolar disorder, and acute psychosis. Almost all existing sensing techniques for CZ are either insensitive spectrophotometric methods or involve long and complex chromatographic procedures, limiting their routine use. In this work, we introduce a facile, green, and sensitive fluorimetric strategy with high reproducibility for detecting CZ in its pure form, tablet formulation, and spiked human plasma and urine without the need for derivatization reactions. The proposed method relies on the inhibition of the intramolecular photoinduced electron transfer (PET) effect by using 2.0 M acetic acid. This approach enables the linear detection of CZ from 3.0 to 600 ng/mL with remarkably low quantitation and detection limits of 1.51 and 0.49 ng/mL, respectively. Moreover, the developed method's greenness was evaluated.
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Affiliation(s)
- Islam M Mostafa
- Analytical Chemistry Department, Faculty of Pharmacy, Minia University, Minia, Egypt
| | - Abobakr A Mohamed
- Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Fayoum University, Faiyum, Egypt
| | - Yaser Alahmadi
- Department of Pharmacy Practice, College of Pharmacy, Taibah University, Al-Madinah Al-Munawarah, Saudi Arabia
| | - Ahmed M Shehata
- Departement of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah, Saudi Arabia
- Departement of Pharmacology and Toxicology, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt
| | - Mohannad A Almikhlafi
- Departement of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah, Saudi Arabia
| | - Mahmoud A Omar
- Analytical Chemistry Department, Faculty of Pharmacy, Minia University, Minia, Egypt
- Pharmacognosy and Pharmaceutical Chemistry, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah, Saudi Arabia
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Zheng J, Zong X, Tang L, Guo H, Zhao P, Womer FY, Zhang X, Tang Y, Wang F. Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders. Psychol Med 2024; 54:2774-2784. [PMID: 38804091 DOI: 10.1017/s0033291724000886] [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] [Indexed: 05/29/2024]
Abstract
BACKGROUND Mood disorders are characterized by great heterogeneity in clinical manifestation. Uncovering such heterogeneity using neuroimaging-based individual biomarkers, clinical behaviors, and genetic risks, might contribute to elucidating the etiology of these diseases and support precision medicine. METHODS We recruited 174 drug-naïve and drug-free patients with major depressive disorder and bipolar disorder, as well as 404 healthy controls. T1 MRI imaging data, clinical symptoms, and neurocognitive assessments, and genetics were obtained and analyzed. We applied regional gray matter volumes (GMV) and quantile normative modeling to create maturation curves, and then calculated individual deviations to identify subtypes within the patients using hierarchical clustering. We compared the between-subtype differences in GMV deviations, clinical behaviors, cell-specific transcriptomic associations, and polygenic risk scores. We also validated the GMV deviations based subtyping analysis in a replication cohort. RESULTS Two subtypes emerged: subtype 1, characterized by increased GMV deviations in the frontal cortex, cognitive impairment, a higher genetic risk for Alzheimer's disease, and transcriptionally associated with Alzheimer's disease pathways, oligodendrocytes, and endothelial cells; and subtype 2, displaying globally decreased GMV deviations, more severe depressive symptoms, increased genetic vulnerability to major depressive disorder and transcriptionally related to microglia and inhibitory neurons. The distinct patterns of GMV deviations in the frontal, cingulate, and primary motor cortices between subtypes were shown to be replicable. CONCLUSIONS Our current results provide vital links between MRI-derived phenotypes, spatial transcriptome, genetic vulnerability, and clinical manifestation, and uncover the heterogeneity of mood disorders in biological and behavioral terms.
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Affiliation(s)
- Junjie Zheng
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Xiaofen Zong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lili Tang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Huiling Guo
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Pengfei Zhao
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Fay Y Womer
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
- Department of Gerontology, The First Hospital of China Medical University, Shenyang, China
- Department of Psychiatry, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
- Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, China
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Albright JA, Rebello E, Chang K, Testa EJ, Daniels AH, Katarincic JA. Delayed Scaphoid Fracture Union in Patients With Comorbid Psychiatric Diagnoses: A Retrospective Analysis of 20 340 Patients. Hand (N Y) 2024; 19:598-606. [PMID: 36564977 PMCID: PMC11141421 DOI: 10.1177/15589447221142894] [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] [Indexed: 12/25/2022]
Abstract
BACKGROUND Psychiatric comorbidities have been shown to influence outcomes of various orthopedic pathologies. This study aimed to compare rates of delayed scaphoid union and surgical intervention for fractures in patients with and without comorbid psychiatric diagnoses. METHODS A matched retrospective cohort study was performed using the PearlDiver database to determine the association of depression, anxiety, bipolar disorder, and schizophrenia with delayed union rates within 3 and 6 months and rates of nonacute surgical intervention (fixation or grafting) within 6 and 12 months of scaphoid fracture. Analyses were completed using multivariate logistic regression. RESULTS Among 20 340 patients, a comorbid psychiatric diagnosis was associated with increased rates of delayed scaphoid union at 3 months (odds ratio [OR] = 1.29; 95% confidence interval [CI], 1.14-1.45) and 6 months (OR = 1.23; 95% CI, 1.10-1.38). At 3 months, women with any psychiatric disorder (OR = 1.58; 1.29-1.66), depression (OR = 1.68; 1.31-2.17), and schizophrenia (OR = 5.32; 95% CI, 1.06-26.79) were more likely to experience delayed union, with similar results at 6 months. Men with bipolar disorder experienced increased delayed union rates at 6 months (OR = 1.40; 1.03-1.91). A comorbid psychiatric diagnosis (OR = 1.10; 1.01-1.20) was associated with increased rates of surgical intervention, whereas schizophrenia was associated with decreased rates (OR = 0.58; 0.34-0.99). CONCLUSION Patients with comorbid psychiatric conditions experienced increased rates of delayed scaphoid union. These results underscore the importance of understanding factors that may place patients at risk of impaired recovery.
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Pi Y, Jiao Z, Wang L, Zhao Y, Hu W, Chen F, Yu J, Zhang X, Zhao P, Jiang H, Zhang M, Wang F. Genetic evidence strengthens the bidirectional connection between oral health status and psychiatric disorders: A two-sample Mendelian randomization study. J Affect Disord 2024; 351:661-670. [PMID: 38309483 DOI: 10.1016/j.jad.2024.01.232] [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: 11/28/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Observational studies cannot accurately infer the causal associations between oral health status and psychiatric disorders. METHODS We conducted univariate and multivariate Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) associated with eight oral health statuses (periodontitis, DMFS, Nteeth, toothache, loose teeth, painful gums, bleeding gums, and mouth ulcers) and four psychiatric disorders (Schizophrenia, Major Depressive Disorder (MDD), anxiety and stress-related disorder (ASRD), and Bipolar Disorder (BIP)) as instrumental variables. Genetic data were sourced from the Gene-lifestyle interactions in dental endpoints (GLIDE), UK Biobank, Psychiatric Genomics Consortium (PGC), and Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH). The inverse variance-weighted (IVW) approach, supported by a comprehensive sensitivity analysis, was employed. RESULTS Genetically predicted mouth ulcers were significantly linked to higher MDD (OR = 2.17, 95 % CI: 1.33--3.54, P< 0.01) and BIP risks (OR = 2.25, 95 % CI: 1.22-4.15, P = 0.01). BIP heightened bleeding gums risk (OR = 1.01, 95 % CI: 1.00-1.01, P < 0.01). These associations were adjusted for smoking status and alcohol consumption. Painful gums were significantly associated with MDD risk (OR = 96.48, 95 % CI: 2.66-3495.28, P = 0.01), while MDD raised periodontitis risk (OR = 2.15, 95 % CI: 1.24-3.75, P = 0.01), both confounded by smoking and alcohol. Relatively small effects between several variables, while others could not withstand correction for multiple tests. LIMITATIONS The sample size and limitation to European populations limits the study generalizability. CONCLUSIONS This study provide evidence of possible causal relationships between several oral health conditions and mental illness. Focusing on oral health and valuing mental health are important for each other and overall health.
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Affiliation(s)
- Yangyang Pi
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Ziming Jiao
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Luning Wang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Yi Zhao
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Wenxuan Hu
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Fang Chen
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Jing Yu
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Xi Zhang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Ping Zhao
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Hongjuan Jiang
- Department of Endodontics, Yinchuan Stomatology Hospital, Yinchuan, 750004, People's Republic of China
| | - Ming Zhang
- Department of Endodontics, Yinchuan Stomatology Hospital, Yinchuan, 750004, People's Republic of China.
| | - Faxuan Wang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, People's Republic of China; Ningxia Key Laboratory of Ministry of Education of Traditional Chinese Medicine for Prevention and Treatment of Regional High Incidence Disease, Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
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Yu L, Zhang X, Li W. Causal effects of various types of physical activities on psychiatric disorders: a Mendelian randomization study. Front Sports Act Living 2024; 6:1331586. [PMID: 38500549 PMCID: PMC10944951 DOI: 10.3389/fspor.2024.1331586] [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: 11/03/2023] [Accepted: 02/21/2024] [Indexed: 03/20/2024] Open
Abstract
Background Psychiatric disorders (PD) pose a significant burden, with vast prevalence and mortality, inflicting substantial costs on individuals and society. Despite its widespread prevalence, the complex pathogenesis of PD remains elusive, leading to limited and challenging therapeutic development. An emerging risk factor for chronic diseases, prolonged sedentary behavior, contrasts with the therapeutic potential of exercise, regardless of its intensity, for various ailments, including PD. Yet, the diversity in exercise modalities and intensities may offer varied impacts on health. This study, leveraging Mendelian Randomization (MR), seeks to investigate the causal relationship between exercise and PD, aiming to elucidate the optimal exercise modality and intensity for PD mitigation while addressing potential confounders. Methods This study employed a Mendelian randomization analysis using the genome-wide association study (GWAS) database to investigate the causal relationship between types of physical activity and psychiatric disorders. Sensitivity analysis was conducted to demonstrate the reliability and robustness of the results. Results In the past 4 weeks, engaging in a substantial amount of DIY physical activity was found to have a causal relationship with psychiatric disorders (IVW: OR = 0.228, 95% CI: 0.113-0.461, P = 0.000038). As for the types of exercises, there may be a potential causal association between aerobic training (including swimming, cycling, fitness, and bowling) and psychiatric disorders (IVW: OR = 0.322, 95% CI = 0.148-0.704, P = 0.004). However, there was no causal relationship found between mild DIY physical activity and psychiatric disorders (IVW: OR = 0.918, 95% CI = 0.417-2.021, P = 0.831). Furthermore, it seems that there is no causal relationship between vigorous exercise and psychiatric disorders (IVW: OR = 2.705, 95% CI = 0.081-3.419, P = 0.578). Conclusion Our study confirms that only a certain level of training activity can have a protective effect on psychiatric disorders, while mild physical activity or vigorous training does not have an impact on psychiatric disorders.
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Affiliation(s)
- Lan Yu
- Department of Gynaecology, Dalian Women and Children’s Medical Center (Group), Dalian, Liaoning, China
| | - Xu Zhang
- Department of Clinical Medicine, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Clinical Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Wangshu Li
- Department of Gynaecology, Dalian Women and Children’s Medical Center (Group), Dalian, Liaoning, China
- Department of Key Laboratory for Early Diagnosis and Biotherapy of Malignant Tumors in Children and Women in Liaoning Province, Dalian, Liaoning, China
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Saini R, Dhinakaran C, Raina R, Gandhibabu R, Krishnasamy K. Usage and cost-effectiveness of anti-psychotics in psychiatry OPD among various clinical conditions: A prospective observational study in a tertiary care center. Indian J Psychiatry 2023; 65:808-814. [PMID: 37736235 PMCID: PMC10510641 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_428_23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/01/2023] [Accepted: 07/12/2023] [Indexed: 09/23/2023] Open
Abstract
Background Psychotropic medications are prescription drugs that are commonly used to control some symptoms associated with many different types of mental ill health. Although they cannot cure a patient illness, they can assist with the management of some extremely distressing symptoms and this in turn can facilitate individuals in leading a more fulfilled life. Aims and Objective This study attempts to collect the demographic details of the outpatient in the psychiatric department and to describe the usage, prescribing trends and cost-effectiveness of antipsychotics in psychiatry OPD among various clinical conditions to older and younger patients with psychiatry disorders. Material and Methods This study was a prospective observational study, conducted over a period of 6 months from November 2021 to April 2022 in the Department of Psychiatry, Chidambaram Government Medical College and Hospital, a 1400 bedded multi-specialty tertiary care teaching hospital, Tamil Nadu Dr. M.G.R. Medical University Chennai, Tamil Nadu. The recruitment of subjects was carried out with the help the physicians who had the knowledge of patient's history and caregivers consenting to the study protocol and patients with case sheets carrying antipsychotics prescription. Observation and Results A total number of 150 cases were enrolled in this study. All psychiatric OPD cases were studied and the results were taken. Based on the inclusion and exclusion criteria, 93 were the anti-psychotics prescribed cases and 57 were the non-anti-psychotics prescribed cases. Out of 93 patients, 69.89% (65 patients) were male and 30.10% (28 patients) were female. Out of non-psychotic 57 patients, 27 were male patients and 30 were female patients. Out of the 93 OPD patients, 40% of the patients have psychological based symptoms followed by 17% of patients have behavioral symptoms. 86.02% of patients received atypical antipsychotic medications in comparison with 36.55% of patients received the typical antipsychotic medications. Conclusion In this study, we had observed the usage and types of anti-psychotic drugs to control and minimize the different psychotic symptoms among the OPD patients. Maximum antipsychotics studied were cost-effective and cheaper in Pradhan Mantri Bhartiya Janaushadhi Pariyojana (PMBJP) as compared to Intas, Torrent, Sun, Linux, Cipla, Abbott, Alkem, and Sanofi.
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Affiliation(s)
- Reshabh Saini
- Department of Internal Medicine, All India Institute of Medical Sciences, Veerbhadra Road, Rishikesh, Uttarakhand, India
| | - Chandrasekaran Dhinakaran
- Department of Pharmacy, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India
| | - Rohit Raina
- Department of Internal Medicine, All India Institute of Medical Sciences, Veerbhadra Road, Rishikesh, Uttarakhand, India
| | - Ramanathan Gandhibabu
- Department of Psychiatry, Government Cuddalore Medical College and Hospital (RMMCH), Annamalai University, Annamalai Nagar, Tamil Nadu, India
| | - Kathiresan Krishnasamy
- Department of Pharmacy, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India
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Wei Y, Womer FY, Sun K, Zhu Y, Sun D, Duan J, Zhang R, Wei S, Jiang X, Zhang Y, Tang Y, Zhang X, Wang F. Applying dimensional psychopathology: transdiagnostic prediction of executive cognition using brain connectivity and inflammatory biomarkers. Psychol Med 2023; 53:3557-3567. [PMID: 35536000 DOI: 10.1017/s0033291722000174] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The association between executive dysfunction, brain dysconnectivity, and inflammation is a prominent feature across major psychiatric disorders (MPDs), schizophrenia, bipolar disorder, and major depressive disorder. A dimensional approach is warranted to delineate their mechanistic interplay across MPDs. METHODS This single site study included a total of 1543 participants (1058 patients and 485 controls). In total, 1169 participants underwent diffusion tensor and resting-state functional magnetic resonance imaging (745 patients and 379 controls completed the Wisconsin Card Sorting Test). Fractional anisotropy (FA) and regional homogeneity (ReHo) assessed structural and functional connectivity, respectively. Pro-inflammatory cytokine levels [interleukin (IL)-1β, IL-6, and tumor necrosis factor-α] were obtained in 325 participants using blood samples collected with 24 h of scanning. Group differences were determined for main measures, and correlation and mediation analyses and machine learning prediction modeling were performed. RESULTS Executive deficits were associated with decreased FA, increased ReHo, and elevated IL-1β and IL-6 levels across MPDs, compared to controls. FA and ReHo alterations in fronto-limbic-striatal regions contributed to executive deficits. IL-1β mediated the association between FA and cognition, and IL-6 mediated the relationship between ReHo and cognition. Executive cognition was better predicted by both brain connectivity and cytokine measures than either one alone for FA-IL-1β and ReHo-IL-6. CONCLUSIONS Transdiagnostic associations among brain connectivity, inflammation, and executive cognition exist across MPDs, implicating common neurobiological substrates and mechanisms for executive deficits in MPDs. Further, inflammation-related brain dysconnectivity within fronto-limbic-striatal regions may represent a transdiagnostic dimension underlying executive dysfunction that could be leveraged to advance treatment.
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Affiliation(s)
- Yange Wei
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Fay Y Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Kaijin Sun
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yue Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Dandan Sun
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Jia Duan
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Ran Zhang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Shengnan Wei
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Xiaowei Jiang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Yanbo Zhang
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2B7, Canada
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 210001, China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China
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Wong TS, Li G, Li S, Gao W, Chen G, Gan S, Zhang M, Li H, Wu S, Du Y. G protein-coupled receptors in neurodegenerative diseases and psychiatric disorders. Signal Transduct Target Ther 2023; 8:177. [PMID: 37137892 PMCID: PMC10154768 DOI: 10.1038/s41392-023-01427-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 02/17/2023] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Neuropsychiatric disorders are multifactorial disorders with diverse aetiological factors. Identifying treatment targets is challenging because the diseases are resulting from heterogeneous biological, genetic, and environmental factors. Nevertheless, the increasing understanding of G protein-coupled receptor (GPCR) opens a new possibility in drug discovery. Harnessing our knowledge of molecular mechanisms and structural information of GPCRs will be advantageous for developing effective drugs. This review provides an overview of the role of GPCRs in various neurodegenerative and psychiatric diseases. Besides, we highlight the emerging opportunities of novel GPCR targets and address recent progress in GPCR drug development.
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Affiliation(s)
- Thian-Sze Wong
- Kobilka Institute of Innovative Drug Discovery, Shenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Medicine, The Chinese University of Hong Kong, 518172, Shenzhen, Guangdong, China
- School of Medicine, Tsinghua University, 100084, Beijing, China
| | - Guangzhi Li
- Institute of Urology, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, 518000, Shenzhen, Guangdong, China
| | - Shiliang Li
- Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 200237, Shanghai, China
- Innovation Center for AI and Drug Discovery, East China Normal University, 200062, Shanghai, China
| | - Wei Gao
- Kobilka Institute of Innovative Drug Discovery, Shenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Medicine, The Chinese University of Hong Kong, 518172, Shenzhen, Guangdong, China
- Innovation Center for AI and Drug Discovery, East China Normal University, 200062, Shanghai, China
| | - Geng Chen
- Kobilka Institute of Innovative Drug Discovery, Shenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Medicine, The Chinese University of Hong Kong, 518172, Shenzhen, Guangdong, China
| | - Shiyi Gan
- Kobilka Institute of Innovative Drug Discovery, Shenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Medicine, The Chinese University of Hong Kong, 518172, Shenzhen, Guangdong, China
| | - Manzhan Zhang
- Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 200237, Shanghai, China
- Innovation Center for AI and Drug Discovery, East China Normal University, 200062, Shanghai, China
| | - Honglin Li
- Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 200237, Shanghai, China.
- Innovation Center for AI and Drug Discovery, East China Normal University, 200062, Shanghai, China.
| | - Song Wu
- Institute of Urology, The Affiliated Luohu Hospital of Shenzhen University, Shenzhen University, 518000, Shenzhen, Guangdong, China.
- Department of Urology, South China Hospital, Health Science Center, Shenzhen University, 518116, Shenzhen, Guangdong, China.
| | - Yang Du
- Kobilka Institute of Innovative Drug Discovery, Shenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Medicine, The Chinese University of Hong Kong, 518172, Shenzhen, Guangdong, China.
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10
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Hagey DW, El Andaloussi S. The promise and challenges of extracellular vesicles in the diagnosis of neurodegenerative diseases. HANDBOOK OF CLINICAL NEUROLOGY 2023; 193:227-241. [PMID: 36803813 DOI: 10.1016/b978-0-323-85555-6.00014-x] [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: 02/18/2023]
Abstract
Extracellular vesicles (EVs) have emerged as essential means of intercommunication for all cell types, and their role in CNS physiology is increasingly appreciated. Accumulating evidence has demonstrated that EVs play important roles in neural cell maintenance, plasticity, and growth. However, EVs have also been demonstrated to spread amyloids and inflammation characteristic of neurodegenerative disease. Such dual roles suggest that EVs may be prime candidates for neurodegenerative disease biomarker analysis. This is supported by several intrinsic properties of EVs: Populations can be enriched by capturing surface proteins from their cell of origin, their diverse cargo represent the complex intracellular states of the cells they derive from, and they can pass the blood-brain barrier. Despite this promise, there are important questions outstanding in this young field that will need to be answered before it can fulfill its potential. Namely, overcoming the technical challenges of isolating rare EV populations, the difficulties inherent in detecting neurodegeneration, and the ethical considerations of diagnosing asymptomatic individuals. Although daunting, succeeding to answer these questions has the potential to provide unprecedented insight and improved treatment of neurodegenerative disease in the future.
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Affiliation(s)
- Daniel W Hagey
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
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11
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Gerraty RT, Provost A, Li L, Wagner E, Haas M, Lancashire L. Machine learning within the Parkinson's progression markers initiative: Review of the current state of affairs. Front Aging Neurosci 2023; 15:1076657. [PMID: 36861121 PMCID: PMC9968811 DOI: 10.3389/fnagi.2023.1076657] [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: 10/21/2022] [Accepted: 01/16/2023] [Indexed: 02/17/2023] Open
Abstract
The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk individuals, including imaging, clinical, cognitive, and 'omics' biospecimens. Such a rich dataset presents unprecedented opportunities for biomarker discovery, patient subtyping, and prognostic prediction, but it also poses challenges that may require the development of novel methodological approaches to solve. In this review, we provide an overview of the application of machine learning methods to analyzing data from the PPMI cohort. We find that there is significant variability in the types of data, models, and validation procedures used across studies, and that much of what makes the PPMI data set unique (multi-modal and longitudinal observations) remains underutilized in most machine learning studies. We review each of these dimensions in detail and provide recommendations for future machine learning work using data from the PPMI cohort.
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Affiliation(s)
| | | | - Lin Li
- PharmaLex, Frederick, MD, United States
| | | | - Magali Haas
- Cohen Veterans Bioscience, New York, NY, United States
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12
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Namkung H, Yukitake H, Fukudome D, Lee BJ, Tian M, Ursini G, Saito A, Lam S, Kannan S, Srivastava R, Niwa M, Sharma K, Zandi P, Jaaro-Peled H, Ishizuka K, Chatterjee N, Huganir RL, Sawa A. The miR-124-AMPAR pathway connects polygenic risks with behavioral changes shared between schizophrenia and bipolar disorder. Neuron 2023; 111:220-235.e9. [PMID: 36379214 PMCID: PMC10183200 DOI: 10.1016/j.neuron.2022.10.031] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 08/16/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022]
Abstract
Schizophrenia (SZ) and bipolar disorder (BP) are highly heritable major psychiatric disorders that share a substantial portion of genetic risk as well as their clinical manifestations. This raises a fundamental question of whether, and how, common neurobiological pathways translate their shared polygenic risks into shared clinical manifestations. This study shows the miR-124-3p-AMPAR pathway as a key common neurobiological mediator that connects polygenic risks with behavioral changes shared between these two psychotic disorders. We discovered the upregulation of miR-124-3p in neuronal cells and the postmortem prefrontal cortex from both SZ and BP patients. Intriguingly, the upregulation is associated with the polygenic risks shared between these two disorders. Seeking mechanistic dissection, we generated a mouse model that upregulates miR-124-3p in the medial prefrontal cortex. We demonstrated that the upregulation of miR-124-3p increases GRIA2-lacking calcium-permeable AMPARs and perturbs AMPAR-mediated excitatory synaptic transmission, leading to deficits in the behavioral dimensions shared between SZ and BP.
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Affiliation(s)
- Ho Namkung
- Department of Biomedical Engineering, Baltimore, MD, USA; Department of Psychiatry, Baltimore, MD, USA
| | | | | | - Brian J Lee
- Department of Psychiatry, Baltimore, MD, USA
| | | | - Gianluca Ursini
- Department of Psychiatry, Baltimore, MD, USA; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD 21205, USA
| | | | - Shravika Lam
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA
| | - Suvarnambiga Kannan
- Department of Psychiatry, Baltimore, MD, USA; Department of Mental Health, Baltimore, MD, USA
| | | | - Minae Niwa
- Department of Psychiatry, Baltimore, MD, USA
| | - Kamal Sharma
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA
| | - Peter Zandi
- Department of Psychiatry, Baltimore, MD, USA; Department of Mental Health, Baltimore, MD, USA; Department of Epidemiology, Baltimore, MD, USA
| | | | | | - Nilanjan Chatterjee
- Department of Epidemiology, Baltimore, MD, USA; Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Richard L Huganir
- Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Akira Sawa
- Department of Biomedical Engineering, Baltimore, MD, USA; Department of Psychiatry, Baltimore, MD, USA; Department of Neuroscience, Baltimore, MD, USA; Department of Pharmacology, Baltimore, MD, USA; Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Mental Health, Baltimore, MD, USA.
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13
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Rajagopal VM, Ganna A, Coleman JRI, Allegrini A, Voloudakis G, Grove J, Als TD, Horsdal HT, Petersen L, Appadurai V, Schork A, Buil A, Bulik CM, Bybjerg-Grauholm J, Bækvad-Hansen M, Hougaard DM, Mors O, Nordentoft M, Werge T, Mortensen PB, Breen G, Roussos P, Plomin R, Agerbo E, Børglum AD, Demontis D. Genome-wide association study of school grades identifies genetic overlap between language ability, psychopathology and creativity. Sci Rep 2023; 13:429. [PMID: 36624241 PMCID: PMC9829693 DOI: 10.1038/s41598-022-26845-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/21/2022] [Indexed: 01/11/2023] Open
Abstract
Cognitive functions of individuals with psychiatric disorders differ from that of the general population. Such cognitive differences often manifest early in life as differential school performance and have a strong genetic basis. Here we measured genetic predictors of school performance in 30,982 individuals in English, Danish and mathematics via a genome-wide association study (GWAS) and studied their relationship with risk for six major psychiatric disorders. When decomposing the school performance into math and language-specific performances, we observed phenotypically and genetically a strong negative correlation between math performance and risk for most psychiatric disorders. But language performance correlated positively with risk for certain disorders, especially schizophrenia, which we replicate in an independent sample (n = 4547). We also found that the genetic variants relating to increased risk for schizophrenia and better language performance are overrepresented in individuals involved in creative professions (n = 2953) compared to the general population (n = 164,622). The findings together suggest that language ability, creativity and psychopathology might stem from overlapping genetic roots.
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Affiliation(s)
- Veera M Rajagopal
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark.
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark.
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Broad Institute, Cambridge, USA
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- National Institute of Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK
| | - Andrea Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Georgios Voloudakis
- Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Thomas D Als
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - Henriette T Horsdal
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- The National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
| | - Liselotte Petersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- The National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
| | - Vivek Appadurai
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services of Copenhagen, Copenhagen, Denmark
| | - Andrew Schork
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services of Copenhagen, Copenhagen, Denmark
- Neurogenomics Division, The Translational Genomics Research Institute (TGEN), Phoenix, AZ, USA
| | - Alfonso Buil
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services of Copenhagen, Copenhagen, Denmark
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækvad-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Aarhus, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Mental Health Center Copenhagen, Mental Health Services in The Capital Region of Denmark, Copenhagen, Denmark
- Department Clinical Medicine, Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Services of Copenhagen, Copenhagen, Denmark
- Department Clinical Medicine, Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark
- Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- The National Centre for Register-Based Research (NCRR), Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-Based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- National Institute of Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK
| | - Panos Roussos
- Department of Psychiatry, Pamela Sklar Division of Psychiatric Genomics and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
- Centre for Integrated Register-Based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Anders D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
- Center for Genome Analysis and Personalized Medicine, Aarhus, Denmark.
- Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark.
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14
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Lu T, Forgetta V, Greenwood CMT, Zhou S, Richards JB. Circulating Proteins Influencing Psychiatric Disease: A Mendelian Randomization Study. Biol Psychiatry 2023; 93:82-91. [PMID: 36280454 DOI: 10.1016/j.biopsych.2022.08.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 08/11/2022] [Accepted: 08/17/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND There is a pressing need for novel drug targets for psychiatric disorders. Circulating proteins are potential candidates because they are relatively easy to measure and modulate and play important roles in signaling. METHODS We performed two-sample Mendelian randomization analyses to estimate the associations between circulating protein abundances and risk of 10 psychiatric disorders. Genetic variants associated with 1611 circulating protein abundances identified in 6 large-scale proteomic studies were used as genetic instruments. Effects of the circulating proteins on psychiatric disorders were estimated by Wald ratio or inverse variance-weighted ratio tests. Horizontal pleiotropy, colocalization, and protein-altering effects were examined to validate the assumptions of Mendelian randomization. RESULTS Nine circulating protein-to-disease associations withstood multiple sensitivity analyses. Among them, 2 circulating proteins had associations replicated in 3 proteomic studies. A 1 standard deviation increase in the genetically predicted circulating TIMP4 level was associated with a reduced risk of anorexia nervosa (minimum odds ratio [OR] = 0.83; 95% CI, 0.76-0.91) and bipolar disorder (minimum OR = 0.88; 95% CI, 0.82-0.94). A 1 standard deviation increase in the genetically predicted circulating ESAM level was associated with an increased risk of schizophrenia (maximum OR = 1.32; 95% CI, 1.22-1.43). In addition, 58 suggestive protein-to-disease associations warrant validation with observational or experimental evidence. For instance, a 1 standard deviation increase in the ERLEC1-201-to-ERLEC1-202 splice variant ratio was associated with a reduced risk of schizophrenia (OR = 0.94; 95% CI, 0.90-0.97). CONCLUSIONS Prioritized circulating proteins appear to influence the risk of psychiatric disease and may be explored as intervention targets.
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Affiliation(s)
- Tianyuan Lu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Quantitative Life Sciences Program, McGill University, Montreal, Quebec, Canada
| | - Vincenzo Forgetta
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Sirui Zhou
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - J Brent Richards
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
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15
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Rahman MM, Mim SA, Islam MR, Sultana N, Ahmed M, Kamal MA. Role of G-Proteins and GPCR-Mediated Signalling in Neuropathophysiology. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:2-5. [PMID: 35507780 DOI: 10.2174/1871527321666220430142722] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 02/08/2023]
Abstract
G-protein-coupled receptors (GPCRs) are activated by manifold neurotransmitters, and their activation, in turn, evokes slow synaptic transmission. They are profoundly related to numerous psychiatric and neurological disorders such as schizophrenia and Parkinson's disease. The significant malady indications for GPCR modulators demonstrate a change towards obesity, diabetes, and Alzheimer's disease, while other central nervous system disorders persist highly represented. GPR52, GPR6, and GPR8 are recognised as orphan GPCRs, co-exist either with both the dopamine D2 and D1 receptors in neurons of the basal ganglia or with the dopamine D2 receptor alone, and recommend that between these orphan receptors, GPR52 has the maximum potential of being a therapeutic psychiatric receptor. Genetically modified creature models and molecular biological investigations have suggested that these improved GPCRs could be potential therapeutic psychiatric receptors. In this perspective, the role of molecular targets in GPCR-mediated signalling has been discussed that would be novel drug design and discovery options for a scientist to elaborate previous knowledge with modern techniques.
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Affiliation(s)
- Md Mominur Rahman
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Sadia Afsana Mim
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Md Rezaul Islam
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Nasrin Sultana
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Muniruddin Ahmed
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
| | - Mohammad Amjad Kamal
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh
- King Fahd Medical Research Center, King Abdulaziz University, Saudi Arabia
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, Chinaa
- Enzymoics; Novel Global Community Educational Foundation, Australia
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16
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Gokhale MV, Chakole S. A Review of Effects of Pandemic on the Patients of Obsessive-Compulsive Disorder. Cureus 2022; 14:e30628. [DOI: 10.7759/cureus.30628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
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17
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Damba JJ, Bodenstein K, Lavin P, Drury J, Sekhon H, Renoux C, Trinh E, Rej S, Greenway KT. Psychotropic Drugs and Adverse Kidney Effects: A Systematic Review of the Past Decade of Research. CNS Drugs 2022; 36:1049-1077. [PMID: 36161425 DOI: 10.1007/s40263-022-00952-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND OBJECTIVE Psychotropic drugs are a heterogenous group of treatments prescribed for many psychiatric disorders, often for long periods. Their effects on the kidney and its functioning are complex and a source of significant research and debate. This article aims to review recent evidence of the acute and chronic kidney adverse events of diverse psychotropes. METHODS A systematic search of randomized controlled trials and large observational studies (n ≥ 100) reporting the effects of psychotropic drugs on the kidney was conducted. The MEDLINE, PsycInfo, and EMBASE databases from 2011 to 2021, inclusive, were broadly searched with few restrictions and no prespecified outcomes. Two or more independent reviewers assessed and summarized all eligible studies, including risks of bias and levels of evidence. RESULTS In all, 1999 abstracts were screened for eligibility and 47 articles were included, which examined lithium (33), antiepileptics (10), antipsychotics (13), and antidepressants (9). No studies examining kidney adverse effects of other psychotropes, such as benzodiazepines, met inclusion criteria. Study populations were adult (8), geriatric (9), and mixed (30). Lithium was almost unanimously associated with (1) chronic kidney disease and (2) nephrogenic diabetes insipidus in methodologically diverse studies. The most supported risk factors for declining kidney functioning with lithium were advanced age, duration of lithium treatment, acute lithium toxicity, female sex, medications with known renal interactions, diabetes mellitus/hyperglycemia, and overall medical comorbidity. Supratherapeutic lithium concentrations are both the causes and consequences of acute kidney injury. Once significant chronic kidney disease has developed, four studies found that replacing lithium with other mood stabilizers does not slow progression, and the evolution to end-stage kidney disease is rare overall with modern practices. Compared to lithium, fewer studies examined antipsychotics and antiepileptics but found relatively less direct kidney harms. Antidepressants were not associated with acute or chronic kidney harms. CONCLUSIONS Despite the heterogeneity of findings, owing to varying methodologies and research challenges, recent studies strongly suggest that lithium is associated with an increased risk of chronic kidney disease and nephrogenic diabetes insipidus, especially in older adults and long-term lithium users. Clinicians should balance the harms of lithium against its established benefits, and ensure adequate monitoring and management of comorbidities in all patients. Weaker evidence suggests that antiepileptics such as valproate and antipsychotics result in comparatively less harm to the kidney than lithium, but warrant monitoring because of multiple direct and indirect mechanisms for potential kidney adverse events. Antidepressants do not have clear kidney adverse effects and appear safe (though potentially less effective) in the setting of kidney disease. Other classes of psychotropic drugs have received little research interest. Further research is warranted, particularly into specific antiepileptics and antipsychotics, and careful attention should be paid to mitigating important sources of bias such as confounding by indication.
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Affiliation(s)
- Joseph Junior Damba
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Katie Bodenstein
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Paola Lavin
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Jessica Drury
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Harmehr Sekhon
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - Christel Renoux
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada
- Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Emilie Trinh
- Division of Nephrology, Department of Medicine, McGill University Health Center, Montreal, QC, Canada
| | - Soham Rej
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Kyle T Greenway
- Geri-PARTy Research Group, Lady Davis Research Institute/Jewish General Hospital, McGill University, Montreal, QC, Canada.
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
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18
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Shou JW, Shaw PC. Therapeutic Efficacies of Berberine against Neurological Disorders: An Update of Pharmacological Effects and Mechanisms. Cells 2022; 11:cells11050796. [PMID: 35269418 PMCID: PMC8909195 DOI: 10.3390/cells11050796] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 02/04/2023] Open
Abstract
Neurological disorders are ranked as the leading cause of disability and the second leading cause of death worldwide, underscoring an urgent necessity to develop novel pharmacotherapies. Berberine (BBR) is a well-known phytochemical isolated from a number of medicinal herbs. BBR has attracted much interest for its broad range of pharmacological actions in treating and/or managing neurological disorders. The discoveries in basic and clinical studies of the effects of BBR on neurological disorders in the last decade have provided novel evidence to support the potential therapeutical efficacies of BBR in treating neurological diseases. In this review, we summarized the pharmacological properties and therapeutic applications of BBR against neurological disorders in the last decade. We also emphasized the major pathways modulated by BBR, which provides firm evidence for BBR as a promising drug candidate for neurological disorders.
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Affiliation(s)
- Jia-Wen Shou
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong 852852, China;
| | - Pang-Chui Shaw
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong 852852, China;
- Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine, The Chinese University of Hong Kong, Hong Kong 852852, China
- State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants and Institute of Chinese Medicine, The Chinese University of Hong Kong, Hong Kong 852852, China
- Correspondence:
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19
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Lee LH, Chen CH, Chang WC, Lee PL, Shyu KK, Chen MH, Hsu JW, Bai YM, Su TP, Tu PC. Evaluating the Performance of Machine Learning Models for Automatic Diagnosis of Patients with Schizophrenia Based on a Single Site Dataset of 440 Participants. Eur Psychiatry 2021; 65:e1. [PMID: 34937587 PMCID: PMC8792868 DOI: 10.1192/j.eurpsy.2021.2248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Methods Results Conclusions
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Affiliation(s)
- Lung-Hao Lee
- Department of Electrical Engineering, National Central University, Taiwan.,Department of Medical Humanities and Education, College of Medicine, Kaohsiung Medical University, Taiwan.,Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan
| | - Chang-Hao Chen
- Department of Electrical Engineering, National Central University, Taiwan.,Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan
| | - Wan-Chen Chang
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Medical Research, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Po-Lei Lee
- Department of Electrical Engineering, National Central University, Taiwan.,Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan
| | - Kuo-Kai Shyu
- Department of Electrical Engineering, National Central University, Taiwan.,Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming Chiao Tung University, Taipei, Taiwan.,Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
| | - Pei-Chi Tu
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan.,Institute of Philosophy of Mind and Cognition, National Yang-Ming Chiao Tung University, Taipei, Taiwan
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20
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Frässle S, Aponte EA, Bollmann S, Brodersen KH, Do CT, Harrison OK, Harrison SJ, Heinzle J, Iglesias S, Kasper L, Lomakina EI, Mathys C, Müller-Schrader M, Pereira I, Petzschner FH, Raman S, Schöbi D, Toussaint B, Weber LA, Yao Y, Stephan KE. TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry. Front Psychiatry 2021; 12:680811. [PMID: 34149484 PMCID: PMC8206497 DOI: 10.3389/fpsyt.2021.680811] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/10/2021] [Indexed: 12/26/2022] Open
Abstract
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two closely intertwined fields: (i) Translational Neuromodeling (TN), which develops "computational assays" for inferring patient-specific disease processes from neuroimaging, electrophysiological, and behavioral data; and (ii) Computational Psychiatry (CP), with the goal of incorporating computational assays into clinical decision making in everyday practice. In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output). While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use. In this paper, we present the Translational Algorithms for Psychiatry-Advancing Science (TAPAS) software package, an open-source collection of building blocks for computational assays in psychiatry. Collectively, the tools in TAPAS presently cover several important aspects of the desired end-to-end pipeline, including: (i) tailored experimental designs and optimization of measurement strategy prior to data acquisition, (ii) quality control during data acquisition, and (iii) artifact correction, statistical inference, and clinical application after data acquisition. Here, we review the different tools within TAPAS and illustrate how these may help provide a deeper understanding of neural and cognitive mechanisms of disease, with the ultimate goal of establishing automatized pipelines for predictions about individual patients. We hope that the openly available tools in TAPAS will contribute to the further development of TN/CP and facilitate the translation of advances in computational neuroscience into clinically relevant computational assays.
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Affiliation(s)
- Stefan Frässle
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Eduardo A. Aponte
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Saskia Bollmann
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Charlestown, MA, United States
| | - Kay H. Brodersen
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Computer Science, ETH Zurich, Zurich, Switzerland
| | - Cao T. Do
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Olivia K. Harrison
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Samuel J. Harrison
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Jakob Heinzle
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Sandra Iglesias
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Lars Kasper
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Techna Institute, University Health Network, Toronto, ON, Canada
| | - Ekaterina I. Lomakina
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Computer Science, ETH Zurich, Zurich, Switzerland
| | - Christoph Mathys
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Interacting Minds Center, Aarhus University, Aarhus, Denmark
| | - Matthias Müller-Schrader
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Inês Pereira
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Frederike H. Petzschner
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Sudhir Raman
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Dario Schöbi
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Birte Toussaint
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Lilian A. Weber
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Yu Yao
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Klaas E. Stephan
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
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21
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Schöbi D, Homberg F, Frässle S, Endepols H, Moran RJ, Friston KJ, Tittgemeyer M, Heinzle J, Stephan KE. Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. Neuroimage 2021; 237:118096. [PMID: 33940149 DOI: 10.1016/j.neuroimage.2021.118096] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/12/2021] [Accepted: 04/19/2021] [Indexed: 01/09/2023] Open
Abstract
Drugs affecting neuromodulation, for example by dopamine or acetylcholine, take centre stage among therapeutic strategies in psychiatry. These neuromodulators can change both neuronal gain and synaptic plasticity and therefore affect electrophysiological measures. An important goal for clinical diagnostics is to exploit this effect in the reverse direction, i.e., to infer the status of specific neuromodulatory systems from electrophysiological measures. In this study, we provide proof-of-concept that the functional status of cholinergic (specifically muscarinic) receptors can be inferred from electrophysiological data using generative (dynamic causal) models. To this end, we used epidural EEG recordings over two auditory cortical regions during a mismatch negativity (MMN) paradigm in rats. All animals were treated, across sessions, with muscarinic receptor agonists and antagonists at different doses. Together with a placebo condition, this resulted in five levels of muscarinic receptor status. Using a dynamic causal model - embodying a small network of coupled cortical microcircuits - we estimated synaptic parameters and their change across pharmacological conditions. The ensuing parameter estimates associated with (the neuromodulation of) synaptic efficacy showed both graded muscarinic effects and predictive validity between agonistic and antagonistic pharmacological conditions. This finding illustrates the potential utility of generative models of electrophysiological data as computational assays of muscarinic function. In application to EEG data of patients from heterogeneous spectrum diseases, e.g. schizophrenia, such models might help identify subgroups of patients that respond differentially to cholinergic treatments. SIGNIFICANCE STATEMENT: In psychiatry, the vast majority of pharmacological treatments affect actions of neuromodulatory transmitters, e.g. dopamine or acetylcholine. As treatment is largely trial-and-error based, one of the goals for computational psychiatry is to construct mathematical models that can serve as "computational assays" and infer the status of specific neuromodulatory systems in individual patients. This translational neuromodeling strategy has great promise for electrophysiological data in particular but requires careful validation. The present study demonstrates that the functional status of cholinergic (muscarinic) receptors can be inferred from electrophysiological data using dynamic causal models of neural circuits. While accuracy needs to be enhanced and our results must be replicated in larger samples, our current results provide proof-of-concept for computational assays of muscarinic function using EEG.
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Affiliation(s)
- Dario Schöbi
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & Swiss Institute of Technology (ETH Zurich), Wilfriedstrasse 6, 8032, Zurich, Switzerland
| | - Fabienne Homberg
- Boston Scientific Medizintechnik GmbH, Daniel-Goldbach-Strasse 17-27, 40880 Ratingen, Germany
| | - Stefan Frässle
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & Swiss Institute of Technology (ETH Zurich), Wilfriedstrasse 6, 8032, Zurich, Switzerland
| | - Heike Endepols
- Preclinical Imaging Group, Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany
| | - Rosalyn J Moran
- Department of Neuroimaging, Institute for Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London Se5 8AF, UK
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N, 3AR, UK
| | - Marc Tittgemeyer
- Max Planck Institute for Metabolism Research, Gleueler Strasse 50, 50931 Cologne, Germany; Cluster of Excellence in Cellular Stress and Aging associated Disease (CECAD), 50931 Cologne, Germany
| | - Jakob Heinzle
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & Swiss Institute of Technology (ETH Zurich), Wilfriedstrasse 6, 8032, Zurich, Switzerland.
| | - Klaas Enno Stephan
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & Swiss Institute of Technology (ETH Zurich), Wilfriedstrasse 6, 8032, Zurich, Switzerland; Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N, 3AR, UK; Max Planck Institute for Metabolism Research, Gleueler Strasse 50, 50931 Cologne, Germany
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22
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Abstract
Psychiatric disorders are studied at multiple levels, but there is no agreement on how these levels are related to each other, or how they should be understood in the first place. In this paper, I provide an account of levels and their relationships that is suited for psychopathology, drawing from recent debates in philosophy of science. Instead of metaphysical issues, the focus is on delivering an understanding of levels that is relevant and useful for scientific practice. I also defend a pragmatic approach to the question of reduction, arguing that even in-principle reductionists should embrace pluralism in practice. Finally, I discuss the benefits and challenges in integrating explanations and models of different levels.
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Affiliation(s)
- Markus I. Eronen
- Department of Theory and History of Psychology, University of Groningen, Grote Kruisstraat 2/1 9712 TS Groningen, Netherlands
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23
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Hu C, Feng P, Yang Q, Xiao L. Clinical and Neurobiological Aspects of TAO Kinase Family in Neurodevelopmental Disorders. Front Mol Neurosci 2021; 14:655037. [PMID: 33867937 PMCID: PMC8044823 DOI: 10.3389/fnmol.2021.655037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/04/2021] [Indexed: 12/20/2022] Open
Abstract
Despite the complexity of neurodevelopmental disorders (NDDs), from their genotype to phenotype, in the last few decades substantial progress has been made in understanding their pathophysiology. Recent accumulating evidence shows the relevance of genetic variants in thousand and one (TAO) kinases as major contributors to several NDDs. Although it is well-known that TAO kinases are a highly conserved family of STE20 kinase and play important roles in multiple biological processes, the emerging roles of TAO kinases in neurodevelopment and NDDs have yet to be intensively discussed. In this review article, we summarize the potential roles of the TAO kinases based on structural and biochemical analyses, present the genetic data from clinical investigations, and assess the mechanistic link between the mutations of TAO kinases, neuropathology, and behavioral impairment in NDDs. We then offer potential perspectives from basic research to clinical therapies, which may contribute to fully understanding how TAO kinases are involved in NDDs.
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Affiliation(s)
- Chun Hu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.,Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Pan Feng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.,Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Qian Yang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.,Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Lin Xiao
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.,Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
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24
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Martínez-Magaña JJ, Genis-Mendoza AD, Villatoro Velázquez JA, Bustos-Gamiño M, Juárez-Rojop IE, Tovilla-Zarate CA, Sarmiento E, Saucedo E, Rodríguez-Mayoral O, Fleiz-Bautista C, Camarena B, Aguilar A, Gonzalez-Castro TB, Medina-Mora ME, Nicolini H. Genome-wide association study of psychiatric and substance use comorbidity in Mexican individuals. Sci Rep 2021; 11:6771. [PMID: 33762635 PMCID: PMC7990941 DOI: 10.1038/s41598-021-85881-4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 03/08/2021] [Indexed: 01/31/2023] Open
Abstract
The combination of substance use and psychiatric disorders is one of the most common comorbidities. The objective of this study was to perform a genome-wide association study of this comorbidity (Com), substance use alone (Subs), and psychiatric symptomatology alone (Psych) in the Mexican population. The study included 3914 individuals of Mexican descent. Genotyping was carried out using the PsychArray microarray and genome-wide correlations were calculated. Genome-wide associations were analyzed using multiple logistic models, polygenic risk scores (PRSs) were evaluated using multinomial models, and vertical pleiotropy was evaluated by generalized summary-data-based Mendelian randomization. Brain DNA methylation quantitative loci (brain meQTL) were also evaluated in the prefrontal cortex. Genome-wide correlation and vertical pleiotropy were found between all traits. No genome-wide association signals were found, but 64 single-nucleotide polymorphism (SNPs) reached nominal associations (p < 5.00e-05). The SNPs associated with each trait were independent, and the individuals with high PRSs had a higher prevalence of tobacco and alcohol use. In the multinomial models all of the PRSs (Subs-PRS, Com-PRS, and Psych-PRS) were associated with all of the traits. Brain meQTL of the Subs-associated SNPs had an effect on the genes enriched in insulin signaling pathway, and that of the Psych-associated SNPs had an effect on the Fc gamma receptor phagocytosis pathway.
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Affiliation(s)
- José Jaime Martínez-Magaña
- División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Alma Delia Genis-Mendoza
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
- Hospital Psiquiátrico Infantil Juan N. Navarro, Servicios de Atención Psiquiátrica, Mexico City, Mexico
| | - Jorge Ameth Villatoro Velázquez
- Unidad de Encuestas y Análisis de Datos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
- Seminario de Estudios Sobre la Globalidad, Facultad de Medicina, Universidad Nacional Autónoma de Mexico (UNAM), Mexico City, Mexico
| | - Marycarmen Bustos-Gamiño
- Unidad de Encuestas y Análisis de Datos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
| | - Isela Esther Juárez-Rojop
- División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico
| | | | - Emmanuel Sarmiento
- Hospital Psiquiátrico Infantil Juan N. Navarro, Servicios de Atención Psiquiátrica, Mexico City, Mexico
| | - Erasmo Saucedo
- Centro de Neurociencias Avanzadas, Departamento de Psiquiátrica del Hospital Psiquiátrico, Universitario Dr. José Eleuterio González, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, Mexico
| | | | - Clara Fleiz-Bautista
- Unidad de Encuestas y Análisis de Datos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
- Seminario de Estudios Sobre la Globalidad, Facultad de Medicina, Universidad Nacional Autónoma de Mexico (UNAM), Mexico City, Mexico
| | - Beatriz Camarena
- Laboratorio de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
| | - Alejandro Aguilar
- Laboratorio de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
| | - Thelma Beatriz Gonzalez-Castro
- División Multidisciplinaria de Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez, Tabasco, Mexico
| | - María Elena Medina-Mora
- Unidad de Encuestas y Análisis de Datos, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (INPRFM), Mexico City, Mexico
- Seminario de Estudios Sobre la Globalidad, Facultad de Medicina, Universidad Nacional Autónoma de Mexico (UNAM), Mexico City, Mexico
| | - Humberto Nicolini
- División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico.
- Instituto Nacional de Medicina Genómica, Periférico Sur 4809, Arenal Tepepan, Tlalpan, 14610, Mexico City, Mexico.
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25
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Friedrich O, Seifert J, Schleidgen S. [AI-Based Self-Tracking of the Mind: Philosophical-Ethical Implications]. PSYCHIATRISCHE PRAXIS 2021; 48:S42-S47. [PMID: 33652487 DOI: 10.1055/a-1364-5068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE AI-based applications are increasingly developed to support users to digitally record, manage and change their emotions, beliefs and behavior patterns. Such forms of self-tracking in the mental sphere are accompanied by a variety of medical benefits in diagnostics, prevention, and therapy. This article pursues the question of which philosophical-ethical implications must be taken into account when dealing with these advantages. METHODS First, some AI-based applications for self-tracking of mental characteristics and processes are outlined. Subsequently, relevant philosophical-ethical implications are presented. RESULTS The following aspects prove to be normatively relevant: improvement versus reduction of self-determination; improvement of self-knowledge versus alienation; positive versus negative aspects of self-responsible health care; epistemic challenges of AI applications; difficulties of conceptual and normative definitions in the applications.
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Affiliation(s)
- Orsolya Friedrich
- Institut für Philosophie, Juniorprofessur für Medizinethik, FernUniversität Hagen
| | - Johanna Seifert
- Institut für Philosophie, Juniorprofessur für Medizinethik, FernUniversität Hagen
| | - Sebastian Schleidgen
- Institut für Philosophie, Juniorprofessur für Medizinethik, FernUniversität Hagen
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26
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Harlan De Crescenzo A, Panoutsopoulos AA, Tat L, Schaaf Z, Racherla S, Henderson L, Leung KY, Greene NDE, Green R, Zarbalis KS. Deficient or Excess Folic Acid Supply During Pregnancy Alter Cortical Neurodevelopment in Mouse Offspring. Cereb Cortex 2021; 31:635-649. [PMID: 32995858 PMCID: PMC7727343 DOI: 10.1093/cercor/bhaa248] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/06/2020] [Accepted: 08/07/2020] [Indexed: 12/14/2022] Open
Abstract
Folate is an essential micronutrient required for both cellular proliferation through de novo nucleotide synthesis and epigenetic regulation of gene expression through methylation. This dual requirement places a particular demand on folate availability during pregnancy when both rapid cell generation and programmed differentiation of maternal, extraembryonic, and embryonic/fetal tissues are required. Accordingly, prenatal neurodevelopment is particularly susceptible to folate deficiency, which can predispose to neural tube defects, or when effective transport into the brain is impaired, cerebral folate deficiency. Consequently, adequate folate consumption, in the form of folic acid (FA) fortification and supplement use, is widely recommended and has led to a substantial increase in the amount of FA intake during pregnancy in some populations. Here, we show that either maternal folate deficiency or FA excess in mice results in disruptions in folate metabolism of the offspring, suggesting diversion of the folate cycle from methylation to DNA synthesis. Paradoxically, either intervention causes comparable neurodevelopmental changes by delaying prenatal cerebral cortical neurogenesis in favor of late-born neurons. These cytoarchitectural and biochemical alterations are accompanied by behavioral abnormalities in FA test groups compared with controls. Our findings point to overlooked potential neurodevelopmental risks associated with excessively high levels of prenatal FA intake.
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Affiliation(s)
- Angelo Harlan De Crescenzo
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
- Institute for Pediatric Regenerative Medicine, Shriners Hospitals for Children, Northern California, 2425 Stockton Boulevard, Sacramento, CA 95817, USA
| | - Alexios A Panoutsopoulos
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
- Institute for Pediatric Regenerative Medicine, Shriners Hospitals for Children, Northern California, 2425 Stockton Boulevard, Sacramento, CA 95817, USA
| | - Lyvin Tat
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
| | - Zachary Schaaf
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
- Institute for Pediatric Regenerative Medicine, Shriners Hospitals for Children, Northern California, 2425 Stockton Boulevard, Sacramento, CA 95817, USA
| | - Shailaja Racherla
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
| | - Lyle Henderson
- Institute for Pediatric Regenerative Medicine, Shriners Hospitals for Children, Northern California, 2425 Stockton Boulevard, Sacramento, CA 95817, USA
| | - Kit-Yi Leung
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Nicholas D E Greene
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Ralph Green
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
| | - Konstantinos S Zarbalis
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA 95817, USA
- Institute for Pediatric Regenerative Medicine, Shriners Hospitals for Children, Northern California, 2425 Stockton Boulevard, Sacramento, CA 95817, USA
- MIND Institute, University of California, Davis, CA 95817, USA
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27
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Paladini MS, Spero V, Begni V, Marchisella F, Guidi A, Gruca P, Lason M, Litwa E, Papp M, Riva MA, Molteni R. Behavioral and molecular effects of the antipsychotic drug blonanserin in the chronic mild stress model. Pharmacol Res 2021; 163:105330. [PMID: 33276101 DOI: 10.1016/j.phrs.2020.105330] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/10/2020] [Accepted: 11/25/2020] [Indexed: 12/16/2022]
Abstract
Psychiatric disorders represent a critical challenge to our society, given their high global prevalence, complex symptomatology, elusive etiology and the variable effectiveness of pharmacological therapies. Recently, there has been a shift in investigating and redefining these diseases by integrating behavioral observations and multilevel neurobiological measures. Accordingly, endophenotype-oriented studies are needed to develop new therapeutic strategies, with the idea of targeting shared symptoms instead of one defined disease. With these premises, here we investigated the therapeutic properties of chronic treatment with the second-generation antipsychotic blonanserin in counteracting the alterations caused by 7 weeks of Chronic Mild Stress (CMS) in the rat. CMS is a well-established preclinical model able to induce depressive and anxiety-like alterations, which are shared by different psychiatric disorders. Our results demonstrated that the antipsychotic treatment normalizes the CMS-induced emotionality deficits, an effect that may be due to its ability in modulating, within the prefrontal cortex, redox mechanisms, a molecular dysfunction associated with several psychiatric disorders. These evidences provide new insights into the therapeutic properties and potential use of blonanserin as well as in its mechanisms of action and provide further support for the role of oxidative stress in the pathophysiology of psychiatric disorders.
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Affiliation(s)
- Maria Serena Paladini
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Vittoria Spero
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Veronica Begni
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Francesca Marchisella
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Alice Guidi
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Piotr Gruca
- Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Magdalena Lason
- Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Ewa Litwa
- Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Maurisz Papp
- Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Marco A Riva
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
| | - Raffaella Molteni
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
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Iwata S, Morikawa M, Takei Y, Hirokawa N. An activity-dependent local transport regulation via degradation and synthesis of KIF17 underlying cognitive flexibility. SCIENCE ADVANCES 2020; 6:6/51/eabc8355. [PMID: 33328231 PMCID: PMC7744090 DOI: 10.1126/sciadv.abc8355] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 11/03/2020] [Indexed: 06/12/2023]
Abstract
Synaptic weight changes among postsynaptic densities within a single dendrite are regulated by the balance between localized protein degradation and synthesis. However, the molecular mechanism via these opposing regulatory processes is still elusive. Here, we showed that the molecular motor KIF17 was locally degraded and synthesized in an N-methyl-d-aspartate receptor (NMDAR)-mediated activity-dependent manner. Accompanied by the degradation of KIF17, its transport was temporarily dampened in dendrites. We also observed that activity-dependent local KIF17 synthesis driven by its 3' untranslated region (3'UTR) occurred at dendritic shafts, and the newly synthesized KIF17 moved along the dendrites. Furthermore, hippocampus-specific deletion of Kif17 3'UTR disrupted KIF17 synthesis induced by fear memory retrieval, leading to impairment in extinction of fear memory. These results indicate that the regulation of the KIF17 transport is driven by the single dendrite-restricted cycle of degradation and synthesis that underlies cognitive flexibility.
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Affiliation(s)
- Suguru Iwata
- Department of Cell Biology and Anatomy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Momo Morikawa
- Department of Cell Biology and Anatomy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Yosuke Takei
- Department of Anatomy and Neuroscience, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8577, Japan
| | - Nobutaka Hirokawa
- Department of Cell Biology and Anatomy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
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29
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Understanding and Treating Niemann-Pick Type C Disease: Models Matter. Int J Mol Sci 2020; 21:ijms21238979. [PMID: 33256121 PMCID: PMC7730076 DOI: 10.3390/ijms21238979] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 02/06/2023] Open
Abstract
Biomedical research aims to understand the molecular mechanisms causing human diseases and to develop curative therapies. So far, these goals have been achieved for a small fraction of diseases, limiting factors being the availability, validity, and use of experimental models. Niemann–Pick type C (NPC) is a prime example for a disease that lacks a curative therapy despite substantial breakthroughs. This rare, fatal, and autosomal-recessive disorder is caused by defects in NPC1 or NPC2. These ubiquitously expressed proteins help cholesterol exit from the endosomal–lysosomal system. The dysfunction of either causes an aberrant accumulation of lipids with patients presenting a large range of disease onset, neurovisceral symptoms, and life span. Here, we note general aspects of experimental models, we describe the line-up used for NPC-related research and therapy development, and we provide an outlook on future topics.
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30
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Guthrie DA, Klein Herenbrink C, Lycas MD, Ku T, Bonifazi A, DeVree BT, Mathiasen S, Javitch JA, Grimm JB, Lavis L, Gether U, Newman AH. Novel Fluorescent Ligands Enable Single-Molecule Localization Microscopy of the Dopamine Transporter. ACS Chem Neurosci 2020; 11:3288-3300. [PMID: 32926777 DOI: 10.1021/acschemneuro.0c00397] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The dopamine transporter (DAT) is critical for spatiotemporal control of dopaminergic neurotransmission and is the target for therapeutic agents, including ADHD medications, and abused substances, such as cocaine. Here, we develop new fluorescently labeled ligands that bind DAT with high affinity and enable single-molecule detection of the transporter. The cocaine analogue MFZ2-12 (1) was conjugated to novel rhodamine-based Janelia Fluorophores (JF549 and JF646). High affinity binding of the resulting ligands to DAT was demonstrated by potent inhibition of [3H]dopamine uptake in DAT transfected CAD cells and by competition radioligand binding experiments on rat striatal membranes. Visualization of binding was substantiated by confocal or TIRF microscopy revealing selective binding of the analogues to DAT transfected CAD cells. Single particle tracking experiments were performed with JF549-conjugated DG3-80 (3) and JF646-conjugated DG4-91 (4) on DAT transfected CAD cells enabling quantification and categorization of the dynamic behavior of DAT into four distinct motion classes (immobile, confined, Brownian, and directed). Finally, we show that the ligands can be used in direct stochastic optical reconstruction microscopy (dSTORM) experiments permitting further analyses of DAT distribution on the nanoscale. In summary, these novel fluorescent ligands are promising new tools for studying DAT localization and regulation with single-molecule resolution.
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Affiliation(s)
- Daryl A. Guthrie
- Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health, 333 Cassell Drive, Baltimore, Maryland 21224, United States,
| | - Carmen Klein Herenbrink
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Matthew Domenic Lycas
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Therese Ku
- Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health, 333 Cassell Drive, Baltimore, Maryland 21224, United States,
| | - Alessandro Bonifazi
- Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health, 333 Cassell Drive, Baltimore, Maryland 21224, United States,
| | - Brian T. DeVree
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Signe Mathiasen
- Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeon and Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, New York 10032, United States
| | - Jonathan A. Javitch
- Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeon and Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, New York 10032, United States
| | - Jonathan B. Grimm
- Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, United States
| | - Luke Lavis
- Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, United States
| | - Ulrik Gether
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Amy Hauck Newman
- Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health, 333 Cassell Drive, Baltimore, Maryland 21224, United States,
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31
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Jiang H, Dai Z, Lu Q, Yao Z. Magnetoencephalography resting-state spectral fingerprints distinguish bipolar depression and unipolar depression. Bipolar Disord 2020; 22:612-620. [PMID: 31729112 DOI: 10.1111/bdi.12871] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES In clinical practice, bipolar depression (BD) and unipolar depression (UD) appear to have similar symptoms, causing BD being frequently misdiagnosed as UD, leading to improper treatment decision and outcome. Therefore, it is in urgent need of distinguishing BD from UD based on clinical objective biomarkers as early as possible. Here, we aimed to integrate brain neuroimaging data and an advanced machine learning technique to predict different types of mood disorder patients at the individual level. METHODS Eyes closed resting-state magnetoencephalography (MEG) data were collected from 23 BD, 30 UD, and 31 healthy controls (HC). Individual power spectra were estimated by Fourier transform, and statistic spectral differences were assessed via a cluster permutation test. A support vector machine classifier was further applied to predict different mood disorder types based on discriminative oscillatory power. RESULTS Both BD and UD showed decreased frontal-central gamma/beta ratios comparing to HC, in which gamma power (30-75 Hz) was decreased in BD while beta power (14-30 Hz) was increased in UD vs HC. The support vector machine model obtained significant high classification accuracies distinguishing three groups based on mean gamma and beta power (BD: 79.9%, UD: 81.1%, HC: 76.3%, P < .01). CONCLUSIONS In combination with resting-state MEG data and machine learning technique, it is possible to make an individual and objective prediction for mode disorder types, which in turn has implications for diagnosis precision and treatment decision of mood disorder patients.
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Affiliation(s)
- Haiteng Jiang
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, China
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, China
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Medical College of Nanjing University, Nanjing, China
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32
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Yassin W, Nakatani H, Zhu Y, Kojima M, Owada K, Kuwabara H, Gonoi W, Aoki Y, Takao H, Natsubori T, Iwashiro N, Kasai K, Kano Y, Abe O, Yamasue H, Koike S. Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis. Transl Psychiatry 2020; 10:278. [PMID: 32801298 PMCID: PMC7429957 DOI: 10.1038/s41398-020-00965-5] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 07/06/2020] [Accepted: 07/14/2020] [Indexed: 11/09/2022] Open
Abstract
Neuropsychiatric disorders are diagnosed based on behavioral criteria, which makes the diagnosis challenging. Objective biomarkers such as neuroimaging are needed, and when coupled with machine learning, can assist the diagnostic decision and increase its reliability. Sixty-four schizophrenia, 36 autism spectrum disorder (ASD), and 106 typically developing individuals were analyzed. FreeSurfer was used to obtain the data from the participant's brain scans. Six classifiers were utilized to classify the subjects. Subsequently, 26 ultra-high risk for psychosis (UHR) and 17 first-episode psychosis (FEP) subjects were run through the trained classifiers. Lastly, the classifiers' output of the patient groups was correlated with their clinical severity. All six classifiers performed relatively well to distinguish the subject groups, especially support vector machine (SVM) and Logistic regression (LR). Cortical thickness and subcortical volume feature groups were most useful for the classification. LR and SVM were highly consistent with clinical indices of ASD. When UHR and FEP groups were run with the trained classifiers, majority of the cases were classified as schizophrenia, none as ASD. Overall, SVM and LR were the best performing classifiers. Cortical thickness and subcortical volume were most useful for the classification, compared to surface area. LR, SVM, and DT's output were clinically informative. The trained classifiers were able to help predict the diagnostic category of both UHR and FEP Individuals.
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Affiliation(s)
- Walid Yassin
- grid.26999.3d0000 0001 2151 536XDepartment of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Hironori Nakatani
- grid.265061.60000 0001 1516 6626Department of Information Media Technology, School of Information and Telecommunication Engineering, Tokai University, Tokyo, 108-8619 Japan
| | - Yinghan Zhu
- grid.26999.3d0000 0001 2151 536XCenter for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902 Japan
| | - Masaki Kojima
- grid.26999.3d0000 0001 2151 536XDepartment of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Keiho Owada
- grid.26999.3d0000 0001 2151 536XDepartment of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Hitoshi Kuwabara
- grid.505613.4Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, 431-3192 Japan
| | - Wataru Gonoi
- grid.26999.3d0000 0001 2151 536XDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Yuta Aoki
- grid.410714.70000 0000 8864 3422Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Hidemasa Takao
- grid.26999.3d0000 0001 2151 536XDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Tatsunobu Natsubori
- grid.26999.3d0000 0001 2151 536XDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Norichika Iwashiro
- grid.26999.3d0000 0001 2151 536XDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Kiyoto Kasai
- grid.26999.3d0000 0001 2151 536XDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan ,grid.26999.3d0000 0001 2151 536XInternational Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-8654 Japan
| | - Yukiko Kano
- grid.26999.3d0000 0001 2151 536XDepartment of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Osamu Abe
- grid.26999.3d0000 0001 2151 536XDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655 Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, 431-3192, Japan.
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan. .,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan. .,International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan. .,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 153-8902, Japan. .,Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan.
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A Caenorhabditis elegans Model for Integrating the Functions of Neuropsychiatric Risk Genes Identifies Components Required for Normal Dendritic Morphology. G3-GENES GENOMES GENETICS 2020; 10:1617-1628. [PMID: 32132169 PMCID: PMC7202017 DOI: 10.1534/g3.119.400925] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Analysis of patient-derived DNA samples has identified hundreds of variants that are likely involved in neuropsychiatric diseases such as autism spectrum disorder (ASD) and schizophrenia (SCZ). While these studies couple behavioral phenotypes to individual genotypes, the number and diversity of candidate genes implicated in these disorders highlights the fact that the mechanistic underpinnings of these disorders are largely unknown. Here, we describe a RNAi-based screening platform that uses C. elegans to screen candidate neuropsychiatric risk genes (NRGs) for roles in controlling dendritic arborization. To benchmark this approach, we queried published lists of NRGs whose variants in ASD and SCZ are predicted to result in complete or partial loss of gene function. We found that a significant fraction (>16%) of these candidate NRGs are essential for dendritic development. Furthermore, these gene sets are enriched for dendritic arbor phenotypes (>14 fold) when compared to control RNAi datasets of over 500 human orthologs. The diversity of PVD structural abnormalities observed in these assays suggests that the functions of diverse NRGs (encoding transcription factors, chromatin remodelers, molecular chaperones and cytoskeleton-related proteins) converge to regulate neuronal morphology and that individual NRGs may play distinct roles in dendritic branching. We also demonstrate that the experimental value of this platform by providing additional insights into the molecular frameworks of candidate NRGs. Specifically, we show that ANK2/UNC-44 function is directly integrated with known regulators of dendritic arborization and suggest that altering the dosage of ARID1B/LET-526 expression during development affects neuronal morphology without diminishing aspects of cell fate specification.
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34
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Díaz-Hung ML, Martínez G, Hetz C. Emerging roles of the unfolded protein response (UPR) in the nervous system: A link with adaptive behavior to environmental stress? INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2020; 350:29-61. [PMID: 32138903 DOI: 10.1016/bs.ircmb.2020.01.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Stressors elicit a neuroendocrine response leading to increased levels of glucocorticoids, allowing the organism to adapt to environmental changes and maintain homeostasis. Glucocorticoids have a broad effect in the body, modifying the activity of the immune system, metabolism, and behavior through the activation of receptors in the limbic system. Chronic exposition to stressors operates as a risk factor for psychiatric diseases such as depression and posttraumatic stress disorder. Among the cellular alterations observed as a consequence of environmental stress, alterations to organelle function at the level of mitochondria and endoplasmic reticulum (ER) are emerging as possible factors contributing to neuronal dysfunction. ER proteostasis alterations elicit the unfolded protein response (UPR), a conserved signaling network that re-establish protein homeostasis. In addition, in the context of brain function, the UPR has been associated to neurodevelopment, synaptic plasticity and neuronal connectivity. Recent studies suggest a role of the UPR in the adaptive behavior to stress, suggesting a mechanistic link between environmental and cellular stress. Here, we revise recent evidence supporting an evolutionary connection between the neuroendocrine system and the UPR to modulate behavioral adaptive responses.
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Affiliation(s)
- Mei-Li Díaz-Hung
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile; Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Santiago, Chile; Center for Geroscience, Brain Health and Metabolism, Santiago, Chile
| | - Gabriela Martínez
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile; Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Santiago, Chile; Center for Geroscience, Brain Health and Metabolism, Santiago, Chile
| | - Claudio Hetz
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Santiago, Chile; Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Santiago, Chile; Center for Geroscience, Brain Health and Metabolism, Santiago, Chile; Buck Institute for Research on Aging, Novato, CA, United States.
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35
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Zhang X, Braun U, Tost H, Bassett DS. Data-Driven Approaches to Neuroimaging Analysis to Enhance Psychiatric Diagnosis and Therapy. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:780-790. [PMID: 32127291 DOI: 10.1016/j.bpsc.2019.12.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 12/10/2019] [Accepted: 12/19/2019] [Indexed: 01/23/2023]
Abstract
Combining advanced neuroimaging with novel computational methods in network science and machine learning has led to increasingly meaningful descriptions of structure and function in both the normal and the abnormal brain, thereby contributing significantly to our understanding of psychiatric disorders as circuit dysfunctions. Despite its marked potential for psychiatric care, this approach has not yet extended beyond the research setting to any clinically useful applications. Here we review current developments in the study of neuroimaging data using network models and machine learning methods, with a focus on their promise in offering a framework for clinical translation. We discuss 3 potential contributions of these methods to psychiatric care: 1) a better understanding of psychopathology beyond current diagnostic boundaries; 2) individualized prediction of treatment response and prognosis; and 3) formal theories to guide the development of novel interventions. Finally, we highlight current obstacles and sketch a forward-looking perspective of how the application of machine learning and network modeling methods should proceed to accelerate their potential transformation of clinically useful tools.
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Affiliation(s)
- Xiaolong Zhang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Urs Braun
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany; Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute, Santa Fe, New Mexico.
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36
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Navarrete F, García-Gutiérrez MS, Jurado-Barba R, Rubio G, Gasparyan A, Austrich-Olivares A, Manzanares J. Endocannabinoid System Components as Potential Biomarkers in Psychiatry. Front Psychiatry 2020; 11:315. [PMID: 32395111 PMCID: PMC7197485 DOI: 10.3389/fpsyt.2020.00315] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/30/2020] [Indexed: 12/19/2022] Open
Abstract
The high heterogeneity of psychiatric disorders leads to a lack of diagnostic precision. Therefore, the search of biomarkers is a fundamental aspect in psychiatry to reach a more personalized medicine. The endocannabinoid system (ECS) has gained increasing interest due to its involvement in many different functional processes in the brain, including the regulation of emotions, motivation, and cognition. This article reviews the role of the main components of the ECS as biomarkers in certain psychiatric disorders. Studies carried out in rodents evaluating the effects of pharmacological and genetic manipulation of cannabinoid receptors or endocannabinoids (eCBs) degrading enzymes were included. Likewise, the ECS-related alterations occurring at the molecular level in animal models reproducing some behavioral and/or neuropathological aspects of psychiatric disorders were reviewed. Furthermore, clinical studies evaluating gene or protein alterations in post-mortem brain tissue or in vivo blood, plasma, and cerebrospinal fluid (CSF) samples were analyzed. Also, the results from neuroimaging studies using positron emission tomography (PET) or functional magnetic resonance (fMRI) were included. This review shows the close involvement of cannabinoid receptor 1 (CB1r) in stress regulation and the development of mood disorders [anxiety, depression, bipolar disorder (BD)], in post-traumatic stress disorder (PTSD), as well as in the etiopathogenesis of schizophrenia, attention deficit hyperactivity disorder (ADHD), or eating disorders (i.e. anorexia and bulimia nervosa). On the other hand, recent results reveal the potential therapeutic action of the endocannabinoid tone manipulation by inhibition of eCBs degrading enzymes, as well as by the modulation of cannabinoid receptor 2 (CB2r) activity on anxiolytic, antidepressive, or antipsychotic associated effects. Further clinical research studies are needed; however, current evidence suggests that the components of the ECS may become promising biomarkers in psychiatry to improve, at least in part, the diagnosis and pharmacological treatment of psychiatric disorders.
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Affiliation(s)
- Francisco Navarrete
- Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Red Temática de Investigación Cooperativa en Salud (RETICS), Red de Trastornos Adictivos, Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain
| | - María Salud García-Gutiérrez
- Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Red Temática de Investigación Cooperativa en Salud (RETICS), Red de Trastornos Adictivos, Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain
| | - Rosa Jurado-Barba
- Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain.,Servicio de Psiquiatría, Hospital Universitario 12 de Octubre, Madrid, Spain.,Departamento de Psicología, Facultad de Educación y Salud, Universidad Camilo José Cela, Madrid, Spain
| | - Gabriel Rubio
- Red Temática de Investigación Cooperativa en Salud (RETICS), Red de Trastornos Adictivos, Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain.,Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain.,Servicio de Psiquiatría, Hospital Universitario 12 de Octubre, Madrid, Spain.,Department of Psychiatry, Complutense University of Madrid, Madrid, Spain
| | - Ani Gasparyan
- Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Red Temática de Investigación Cooperativa en Salud (RETICS), Red de Trastornos Adictivos, Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain
| | | | - Jorge Manzanares
- Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain.,Red Temática de Investigación Cooperativa en Salud (RETICS), Red de Trastornos Adictivos, Instituto de Salud Carlos III, MICINN and FEDER, Madrid, Spain
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37
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Morikawa M, Tanaka Y, Cho HS, Yoshihara M, Hirokawa N. The Molecular Motor KIF21B Mediates Synaptic Plasticity and Fear Extinction by Terminating Rac1 Activation. Cell Rep 2019; 23:3864-3877. [PMID: 29949770 DOI: 10.1016/j.celrep.2018.05.089] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 04/16/2018] [Accepted: 05/25/2018] [Indexed: 12/15/2022] Open
Abstract
Fear extinction is a component of cognitive flexibility that is relevant for important psychiatric diseases, but its molecular mechanism is still largely elusive. We established mice lacking the kinesin-4 motor KIF21B as a model for fear extinction defects. Postsynaptic NMDAR-dependent long-term depression (LTD) is specifically impaired in knockouts. NMDAR-mediated LTD-causing stimuli induce dynamic association of KIF21B with the Rac1GEF subunit engulfment and cell motility protein 1 (ELMO1), leading to ELMO1 translocation out of dendritic spines and its sequestration in endosomes. This process may essentially terminate transient activation of Rac1, shrink spines, facilitate AMPAR endocytosis, and reduce postsynaptic strength, thereby forming a mechanistic link to LTD expression. Antagonizing ELMO1/Dock Rac1GEF activity by the administration of 4-[3'-(2″-chlorophenyl)-2'-propen-1'-ylidene]-1-phenyl-3,5-pyrazolidinedione (CPYPP) significantly reverses the knockout phenotype. Therefore, we propose that KIF21B-mediated Rac1 inactivation is a key molecular event in NMDAR-dependent LTD expression underlying cognitive flexibility in fear extinction.
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Affiliation(s)
- Momo Morikawa
- Department of Cell Biology and Anatomy, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yosuke Tanaka
- Department of Cell Biology and Anatomy, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Hyun-Soo Cho
- Department of Cell Biology and Anatomy, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Masaharu Yoshihara
- Department of Cell Biology and Anatomy, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Nobutaka Hirokawa
- Department of Cell Biology and Anatomy, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; Center of Excellence in Genome Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
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38
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van den Brink RL, Pfeffer T, Donner TH. Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations. Front Hum Neurosci 2019; 13:340. [PMID: 31649516 PMCID: PMC6794422 DOI: 10.3389/fnhum.2019.00340] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 09/17/2019] [Indexed: 12/22/2022] Open
Abstract
Brain activity fluctuates continuously, even in the absence of changes in sensory input or motor output. These intrinsic activity fluctuations are correlated across brain regions and are spatially organized in macroscale networks. Variations in the strength, topography, and topology of correlated activity occur over time, and unfold upon a backbone of long-range anatomical connections. Subcortical neuromodulatory systems send widespread ascending projections to the cortex, and are thus ideally situated to shape the temporal and spatial structure of intrinsic correlations. These systems are also the targets of the pharmacological treatment of major neurological and psychiatric disorders, such as Parkinson's disease, depression, and schizophrenia. Here, we review recent work that has investigated how neuromodulatory systems shape correlations of intrinsic fluctuations of large-scale cortical activity. We discuss studies in the human, monkey, and rodent brain, with a focus on non-invasive recordings of human brain activity. We provide a structured but selective overview of this work and distil a number of emerging principles. Future efforts to chart the effect of specific neuromodulators and, in particular, specific receptors, on intrinsic correlations may help identify shared or antagonistic principles between different neuromodulatory systems. Such principles can inform models of healthy brain function and may provide an important reference for understanding altered cortical dynamics that are evident in neurological and psychiatric disorders, potentially paving the way for mechanistically inspired biomarkers and individualized treatments of these disorders.
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Affiliation(s)
- R. L. van den Brink
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - T. Pfeffer
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - T. H. Donner
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Center for Brain and Cognition, Institute for Interdisciplinary Studies, Amsterdam, Netherlands
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Plastic Adaptation to Pathology in Psychiatry: Are Patients with Psychiatric Disorders Pathological Experts? Neuroscientist 2019; 26:208-223. [DOI: 10.1177/1073858419867083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Psychiatric disorders share the same pattern of longitudinal evolution and have courses that tend to be chronic and recurrent. These aspects of chronicity and longitudinal evolution are currently studied under the deficit-oriented neuroprogression framework. Interestingly, considering the plasticity of the brain, it is also necessary to emphasize the bidirectional nature of neuroprogression. We review evidence highlighting alterations of the brain associated with the longitudinal evolution of psychiatric disorders from the framework of neuroplastic adaptation to pathology. This new framework highlights that substantial plasticity and remodeling may occur beyond the classic deficit-oriented neuroprogressive framework, which has been associated with progressive loss of gray matter thickness, decreased brain connectivity, and chronic inflammation. We also integrate the brain economy concept in the neuroplastic adaptation to pathology framework, emphasizing that to preserve its economy, i.e. function, the brain learns how to cope with the disease by adapting its architecture. Neuroplastic adaptation to pathology is a proposition for a paradigm shift to overcome the shortcomings of traditional psychiatric diagnostic boundaries; this approach can disentangle both the specific pathophysiology of psychiatric symptoms and the adaptation to pathology, thus offering a new framework for both diagnosis and treatment.
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Ghoryani M, Faridhosseini F, Talaei A, Faridhosseini R, Tavakkol-Afshari J, Dadgar Moghaddam M, Azim P, Salimi Z, Marzouni HZ, Mohammadi M. Gene expression pattern of CCL2, CCL3, and CXCL8 in patients with bipolar disorder. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2019; 24:45. [PMID: 31160912 PMCID: PMC6540773 DOI: 10.4103/jrms.jrms_763_18] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 12/24/2018] [Accepted: 02/21/2019] [Indexed: 12/23/2022]
Abstract
Background Bipolar disorder (BD) is one of the most important psychiatric disorders in the world. There is evidence suggesting the role of inflammatory mediators such as chemokines in the etiology of BD. The objective of the current study was to evaluate the gene expression of CCL2, CCL3, and CXCL8 in patients with BD and compare them to healthy controls. Materials and Methods A total of 48 patients with confirmed BD and 48 healthy controls enrolled in this study. All patients were recruited from April to August 2016 at Ibn-Sina Psychiatric Hospital, Mashhad University of Medical Sciences, Mashhad, Iran. RNA was extracted from the whole blood samples and then cDNA was synthesized. Gene expression of CCL2, CCL3, and CXCL8 was measured using SYBR® Green real-time polymerase chain reaction. The difference of delta-CT values between patients and healthy controls was compared with the independent samples t-tests. Results CCL2 and CXCL8 genes expressed at higher levels in patients with BD as compared to healthy controls, but not significant. On the contrary, we found lower expression levels for CCL3 gene in our patients compared to healthy controls, but the difference was not statistically significant. Conclusion Our findings do not show an association between the gene expression of CCL2, CCL3 and CXCL8 and BD. Increasing the sample size and evaluation on the gene expression of other chemokines in depression and mania phases of BD might be helpful to get a better conclusion.
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Affiliation(s)
- Mohsen Ghoryani
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Laboratory Sciences, School of Para-Medical Sciences, Torbat Heydarieh University of Medical Sciences, Torbat Heydarieh, Iran
| | - Farhad Faridhosseini
- Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, 0Mashhad, Iran.,Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali Talaei
- Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, 0Mashhad, Iran.,Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reza Faridhosseini
- Allergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Immunology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Jalil Tavakkol-Afshari
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Immunology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Parisa Azim
- Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zanireh Salimi
- Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hadi Zare Marzouni
- Allergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mojgan Mohammadi
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Allergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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Wolke SA, Mehta MA, O'Daly O, Zelaya F, Zahreddine N, Keren H, O'Callaghan G, Young AH, Leibenluft E, Pine DS, Stringaris A. Modulation of anterior cingulate cortex reward and penalty signalling in medication-naive young-adult subjects with depressive symptoms following acute dose lurasidone. Psychol Med 2019; 49:1365-1377. [PMID: 30606271 PMCID: PMC6518385 DOI: 10.1017/s0033291718003306] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 10/08/2018] [Accepted: 10/12/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Aberrations in reward and penalty processing are implicated in depression and putatively reflect altered dopamine signalling. This study exploits the advantages of a placebo-controlled design to examine how a novel D2 antagonist with adjunctive antidepressant properties modifies activity in the brain's reward network in depression. METHODS We recruited 43 medication-naïve subjects across the range of depression severity (Beck's Depression Inventory-II score range: 0-43), including healthy volunteers, as well as people meeting full-criteria for major depressive disorder. In a double-blind placebo-controlled cross-over design, all subjects received either placebo or lurasidone (20 mg) across two visits separated by 1 week. Functional magnetic resonance imaging with the Monetary Incentive Delay (MID) task assessed reward functions via neural responses during anticipation and receipt of gains and losses. Arterial spin labelling measured cerebral blood flow (CBF) at rest. RESULTS Lurasidone altered fronto-striatal activity during anticipation and outcome phases of the MID task. A significant three-way Medication-by-Depression severity-by-Outcome interaction emerged in the anterior cingulate cortex (ACC) after correction for multiple comparisons. Follow-up analyses revealed significantly higher ACC activation to losses in high- v. low depression participants in the placebo condition, with a normalisation by lurasidone. This effect could not be accounted for by shifts in resting CBF. CONCLUSIONS Lurasidone acutely normalises reward processing signals in individuals with depressive symptoms. Lurasidone's antidepressant effects may arise from reducing responses to penalty outcomes in individuals with depressive symptoms.
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Affiliation(s)
- Selina A. Wolke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, USA
| | - Mitul A. Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Owen O'Daly
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Nada Zahreddine
- Department of Psychiatry, Saint-Joseph University, Beirut, Lebanon
| | - Hanna Keren
- Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, USA
| | - Georgia O'Callaghan
- Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, USA
| | - Allan H. Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, USA
| | - Daniel S. Pine
- Section on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, MD, USA
| | - Argyris Stringaris
- Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, USA
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Zhao K, So HC. Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression Data. IEEE J Biomed Health Inform 2019; 23:1304-1315. [DOI: 10.1109/jbhi.2018.2856535] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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43
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Liu Y, Fan P, Zhang S, Wang Y, Liu D. Prioritization and comprehensive analysis of genes related to major depressive disorder. Mol Genet Genomic Med 2019; 7:e659. [PMID: 30968596 PMCID: PMC6565567 DOI: 10.1002/mgg3.659] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 01/30/2019] [Accepted: 03/04/2019] [Indexed: 12/28/2022] Open
Abstract
Background Major depressive disorder (MDD) is a serious mental health problem in modern society, which is difficult to identify and diagnose in the early stages. Despite strong evidence supporting the heritability of MDD, progresses in large‐scale and individual genetic studies remain preliminary. Methods In this study, a multi‐data source‐based prioritization (MDSP) method was proposed, and an appropriate threshold was determined for the optimization of depression‐related genes (DEPgenes). Analyses on Gene Ontology biological processes, KEGG pathway and the specific pathway crosstalk network were further proposed. Results A total of 143 DEPgenes were identified and the MDD‐specific network was constructed for the pathogenesis investigation and therapeutic methods development of MDD. Comparing with existing research strategies, the genetic optimization and analysis results were confirmed to be reliable. Finally, the pathway enrichment and crosstalk analyses revealed two unique pathway interaction modules that were significantly enriched with MDD genes. The related core pathways of neuroactive ligand‐receptor interaction and dopaminergic synapse supported the neuropathology hypothesis of MDD. And the pathways of serotonergic synapse and morphine addiction indicated the mechanism of drug addiction caused by serotonin used in the treatment. Conclusions This work provided a reference for the study of MDD, although future validation by extensive experimentation is still required.
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Affiliation(s)
- Yi Liu
- ICUFirst Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinP.R. China
| | - Pengfei Fan
- Organ Transplant CenterTianjin First Central HospitalTianjinP.R. China
| | - Shiyuan Zhang
- ICUFirst Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinP.R. China
| | - Yidan Wang
- Clinical Practice Teaching CenterTianjin University of Traditional Chinese MedicineTianjinP.R. China
| | - Dan Liu
- Acupuncture DepartmentFirst Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjinP.R. China
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44
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Rich K, Summers P, Westreich AM. Genetics Is Forging New Frontiers in Mental Health Care: A Patient-Centered Collaborative Approach Will Smooth the Journey. Genet Test Mol Biomarkers 2019; 23:153-155. [PMID: 30875253 DOI: 10.1089/gtmb.2019.29043.sjt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- Kelly Rich
- 1 Genetic Alliance, Washington, District of Columbia.,2 Division of Human Genetics, The Ohio State University, Columbus, Ohio
| | - Perry Summers
- 1 Genetic Alliance, Washington, District of Columbia
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45
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Podsiedlik M, Markowicz-Piasecka M, Mikiciuk-Olasik E, Sikora J. The Associations between Central Nervous System Diseases and Haemostatic Disorders. CNS & NEUROLOGICAL DISORDERS-DRUG TARGETS 2019; 18:307-316. [PMID: 30868969 DOI: 10.2174/1871527318666190314101946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 02/12/2019] [Accepted: 03/07/2019] [Indexed: 12/26/2022]
Abstract
The aim of this review was to examine the relationship between the occurrence of central nervous system (CNS) diseases, the medicines used in their treatment and the blood coagulation process. The paper mainly focuses on the effects of antidepressant and antipsychotic drugs. Special attention has been paid to the influence of drugs on platelets, the vascular endothelium, plasma coagulation and fibrinolysis, regarding coagulation.
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Affiliation(s)
- Maria Podsiedlik
- Department of Pharmaceutical Chemistry, Drug Analysis and Radiopharmacy, Medical University of Lodz, ul. Muszyńskiego 1, 90-151 Lodz, Poland
| | - Magdalena Markowicz-Piasecka
- Laboratory of Bioanalysis, Department of Pharmaceutical Chemistry, Drug Analysis and Radiopharmacy, Medical University of Lodz, ul. Muszyńskiego 1, 90-151 Lodz, Poland
| | - Elżbieta Mikiciuk-Olasik
- Department of Pharmaceutical Chemistry, Drug Analysis and Radiopharmacy, Medical University of Lodz, ul. Muszyńskiego 1, 90-151 Lodz, Poland
| | - Joanna Sikora
- Laboratory of Bioanalysis, Department of Pharmaceutical Chemistry, Drug Analysis and Radiopharmacy, Medical University of Lodz, ul. Muszyńskiego 1, 90-151 Lodz, Poland
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46
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Schork AJ, Won H, Appadurai V, Nudel R, Gandal M, Delaneau O, Revsbech Christiansen M, Hougaard DM, Bækved-Hansen M, Bybjerg-Grauholm J, Giørtz Pedersen M, Agerbo E, Bøcker Pedersen C, Neale BM, Daly MJ, Wray NR, Nordentoft M, Mors O, Børglum AD, Bo Mortensen P, Buil A, Thompson WK, Geschwind DH, Werge T. A genome-wide association study of shared risk across psychiatric disorders implicates gene regulation during fetal neurodevelopment. Nat Neurosci 2019; 22:353-361. [PMID: 30692689 PMCID: PMC6497521 DOI: 10.1038/s41593-018-0320-0] [Citation(s) in RCA: 135] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 12/06/2018] [Indexed: 12/15/2022]
Abstract
There is mounting evidence that seemingly diverse psychiatric disorders share genetic etiology, but the biological substrates mediating this overlap are not well characterized. Here we leverage the unique Integrative Psychiatric Research Consortium (iPSYCH) study, a nationally representative cohort ascertained through clinical psychiatric diagnoses indicated in Danish national health registers. We confirm previous reports of individual and cross-disorder single-nucleotide polymorphism heritability for major psychiatric disorders and perform a cross-disorder genome-wide association study. We identify four novel genome-wide significant loci encompassing variants predicted to regulate genes expressed in radial glia and interneurons in the developing neocortex during mid-gestation. This epoch is supported by partitioning cross-disorder single-nucleotide polymorphism heritability, which is enriched at regulatory chromatin active during fetal neurodevelopment. These findings suggest that dysregulation of genes that direct neurodevelopment by common genetic variants may result in general liability for many later psychiatric outcomes.
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Affiliation(s)
- Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Hyejung Won
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Vivek Appadurai
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Ron Nudel
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Mike Gandal
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Olivier Delaneau
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics (SIB), University of Geneva, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | | | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækved-Hansen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Jonas Bybjerg-Grauholm
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marianne Giørtz Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- NCRR - National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- NCRR - National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Carsten Bøcker Pedersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- NCRR - National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Copenhagen Mental Health Center, Mental Health Services Capital Region of Denmark Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- NCRR - National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
- Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
| | - Alfonso Buil
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
| | - Wesley K Thompson
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark
- Division of Biostatistics, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Daniel H Geschwind
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Provenza NR, Matteson ER, Allawala AB, Barrios-Anderson A, Sheth SA, Viswanathan A, McIngvale E, Storch EA, Frank MJ, McLaughlin NCR, Cohn JF, Goodman WK, Borton DA. The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders. Front Neurosci 2019; 13:152. [PMID: 30890909 PMCID: PMC6412779 DOI: 10.3389/fnins.2019.00152] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 02/11/2019] [Indexed: 12/20/2022] Open
Abstract
Mental disorders are a leading cause of disability worldwide, and available treatments have limited efficacy for severe cases unresponsive to conventional therapies. Neurosurgical interventions, such as lesioning procedures, have shown success in treating refractory cases of mental illness, but may have irreversible side effects. Neuromodulation therapies, specifically Deep Brain Stimulation (DBS), may offer similar therapeutic benefits using a reversible (explantable) and adjustable platform. Early DBS trials have been promising, however, pivotal clinical trials have failed to date. These failures may be attributed to targeting, patient selection, or the “open-loop” nature of DBS, where stimulation parameters are chosen ad hoc during infrequent visits to the clinician’s office that take place weeks to months apart. Further, the tonic continuous stimulation fails to address the dynamic nature of mental illness; symptoms often fluctuate over minutes to days. Additionally, stimulation-based interventions can cause undesirable effects if applied when not needed. A responsive, adaptive DBS (aDBS) system may improve efficacy by titrating stimulation parameters in response to neural signatures (i.e., biomarkers) related to symptoms and side effects. Here, we present rationale for the development of a responsive DBS system for treatment of refractory mental illness, detail a strategic approach for identification of electrophysiological and behavioral biomarkers of mental illness, and discuss opportunities for future technological developments that may harness aDBS to deliver improved therapy.
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Affiliation(s)
- Nicole R Provenza
- Brown University School of Engineering, Providence, RI, United States.,Charles Stark Draper Laboratory, Cambridge, MA, United States
| | - Evan R Matteson
- Brown University School of Engineering, Providence, RI, United States
| | - Anusha B Allawala
- Brown University School of Engineering, Providence, RI, United States
| | - Adriel Barrios-Anderson
- Psychiatric Neurosurgery Program at Butler Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Elizabeth McIngvale
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Michael J Frank
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, United States.,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Nicole C R McLaughlin
- Psychiatric Neurosurgery Program at Butler Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Jeffrey F Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - David A Borton
- Brown University School of Engineering, Providence, RI, United States.,Carney Institute for Brain Science, Brown University, Providence, RI, United States.,Department of Veterans Affairs, Providence Medical Center, Center for Neurorestoration and Neurotechnology, Providence, RI, United States
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48
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Region-specific inhibition of 14-3-3 proteins induces psychomotor behaviors in mice. NPJ SCHIZOPHRENIA 2019; 5:1. [PMID: 30643138 PMCID: PMC6386769 DOI: 10.1038/s41537-018-0069-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 12/11/2018] [Indexed: 01/23/2023]
Abstract
The 14-3-3 family of proteins is genetically linked to several psychiatric disorders, including schizophrenia. Our 14-3-3 functional knockout (FKO) mice, as well as other 14-3-3 knockout models, have been shown to exhibit behavioral endophenotypes related to schizophrenia. While specific forebrain regions, such as the prefrontal cortex (PFC) and hippocampus (HP), have been implicated in schizophrenic pathophysiology, the role of these brain regions in the top-down control of specific schizophrenia-associated behaviors has not been examined. Here, we used an adeno-associated virus (AAV) delivered shRNA to knock down the expression of the 14-3-3-inhibitor transgene, thus selectively restoring the function of 14-3-3 in the forebrain of the 14-3-3 FKO mice, we found that injection of the AAV-shRNA into both the PFC and the HP is necessary to attenuate psychomotor activity of the 14-3-3 FKO mice. Furthermore, we found that acute inhibition of 14-3-3, through the delivery of an AAV expressing the 14-3-3 inhibitor to both the PFC and HP, can trigger psychomotor agitation. Interestingly, when assessing the two brain regions separately, we determined that AAV-mediated expression of the 14-3-3 inhibitor specifically within the HP alone is sufficient to induce several behavioral deficits including hyperactivity, impaired associative learning and memory, and reduced sensorimotor gating. In addition, we show that post-synaptic NMDA receptor levels are regulated by acute 14-3-3 manipulations. Taken together, findings from this study directly link 14-3-3 inhibition in specific forebrain regions to certain schizophrenia-associated endophenotypes.
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Fakhoury M. Artificial Intelligence in Psychiatry. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1192:119-125. [PMID: 31705492 DOI: 10.1007/978-981-32-9721-0_6] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. However, despite significant advances in research, there is widespread disappointment with the overall pace of progress in detecting and treating psychiatric disorders. Current approaches for the diagnosis of psychiatric disorders largely rely on physician-patient questionnaires that are most of the time inaccurate and ineffective in providing a reliable assessment of symptoms. These limitations can, however, be overcome by applying artificial intelligence (AI) to electronic medical database and health records. AI in psychiatry is a general term that implies the use of computerized techniques and algorithms for the diagnosis, prevention, and treatment of mental illnesses. Although the past few years have witnessed an increase in the use of AI in the medical practice, its role in psychiatry remains a complex and unanswered question. This chapter provides the current state of knowledge of AI's use in the diagnosis, prediction, and treatment of psychiatric disorders, and examines the challenges and limitations of this approach in the medical practise.
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Affiliation(s)
- Marc Fakhoury
- Faculty of Medicine, Department of Neuroscience, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
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50
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Lu DY, Zhu PP, Wu HY, Xu B, Lu TR. RETRACTED: Human Suicide, Modern Diagnosis Assistance and Magic Bullet Discovery. Cent Nerv Syst Agents Med Chem 2019; 19:15-23. [PMID: 30644350 DOI: 10.2174/1871524919666190115130655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 01/02/2019] [Accepted: 01/03/2019] [Indexed: 06/09/2023]
Abstract
The article entitled “Human Suicide, Modern Diagnosis Assistance and Magic Bullet Discovery”, by Da-Yong Lu, Peng- Peng Zhu, Hong-Ying Wu, Nagendra Sastry Yarla, Bin Xu, Jian Ding, Ajit Varki and Ting-Ren Lu, has been retracted on the request of the co-authors, Dr. Ajit Varki, Dr. Nagendra Sastry Yarla and Dr. Jian Ding available at: Cent Nerv Syst Agents Med Chem 2019; 19(1): 15-23. http://www.eurekaselect.com/169003/article. The Corresponding Author Dr. Da-Yong Lu has included the names of the co-authors, Dr. Ajit Varki, Dr. Nagendra Sastry Yarla and Dr. Jian Ding without their consent and the manuscript has been published in the journal, Central Nervous System Agents in Medicinal Chemistry (CNSAMC). Kindly see Bentham Science Policy on Article retraction at the link given below: (https://benthamscience.com/journals/central-nervous-system-agents-in-medicinal-chemistry/author-guidelines/) Submission of a manuscript to the respective journals implies that all authors have read and agreed to the content of the Copyright Letter or the Terms and Conditions. As such, this article represents a severe abuse of the scientific publishing system. Bentham Science Publishers takes a very strong view on this matter and apologizes to the readers of the journal for any inconvenience this may cause.
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Affiliation(s)
- Da-Yong Lu
- School of Life Sciences, Shanghai University, Shanghai 200444, P.R. China
| | | | - Hong-Ying Wu
- School of Life Sciences, Shanghai University, Shanghai 200444, P.R. China
| | - Bin Xu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai Shi, P.R. China
| | - Ting-Ren Lu
- School of Life Sciences, Shanghai University, Shanghai 200444, P.R. China
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