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Gatt-Rutter T, Forrest L, Sexton A, Isbister J. Consumer attitudes and preferences toward psychiatric genetic counselling and educational resources: A scoping review. Patient Educ Couns 2024; 123:108229. [PMID: 38461792 DOI: 10.1016/j.pec.2024.108229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/20/2024] [Accepted: 02/24/2024] [Indexed: 03/12/2024]
Abstract
INTRODUCTION The etiology of psychiatric disorders is multifactorial including genomic and environmental risk factors. Psychiatric genetic counseling is an emerging field that may promote processes of adaptation to, and the management of, psychiatric disorders. Many countries lack dedicated services leading to a gap in care. This scoping review will inform the development of psychiatric genetics-based educational resources. OBJECTIVES To explore individuals with a psychiatric disorder and their relatives' attitudes and beliefs toward psychiatric genetics, genetic counseling, and genetics-based education. To evaluate how best to convey education to consumers. METHOD Database literature searches occurred on May 2nd, 2023, using PubMed, Medline, and PsycINFO. Reviews, letters to the editor, case reports, and publications before 2003 were excluded. RESULTS Twenty-four papers met the inclusion criteria. Results suggest individuals with a psychiatric disorder and their relatives tended to overestimate risk, and express concern about reproductive decision- making. Genetic counseling and educational resources were perceived to be useful and empowering. CONCLUSION Affected individuals and relatives are interested in gaining greater insight into their own and/or their relative's psychiatric disorder, management strategies, and understanding familial risks. PRACTICE IMPLICATIONS The evidence from this review may inform the development of genetics-based educational resources or guide future research.
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Affiliation(s)
- Tessa Gatt-Rutter
- Department of Paediatrics, University of Melbourne Faculty of Medicine, Dentistry and Health Sciences, Melbourne, Australia
| | - Laura Forrest
- Genomic Medicine & Parkville Familial Cancer Centre, Royal Melbourne Hospital & Peter MacCallum Cancer Centre, Parkville, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Adrienne Sexton
- Genomic Medicine & Parkville Familial Cancer Centre, Royal Melbourne Hospital & Peter MacCallum Cancer Centre, Parkville, Australia; Genetic Counselling Service, Epworth Freemasons, East Melbourne, Australia; Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Joanne Isbister
- Department of Paediatrics, University of Melbourne Faculty of Medicine, Dentistry and Health Sciences, Melbourne, Australia; Genomic Medicine & Parkville Familial Cancer Centre, Royal Melbourne Hospital & Peter MacCallum Cancer Centre, Parkville, Australia.
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Pisanu C, Congiu D, Meloni A, Paribello P, Patrinos GP, Severino G, Ardau R, Chillotti C, Manchia M, Squassina A. Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets. Neuropsychopharmacology 2024; 49:1033-1041. [PMID: 38402365 DOI: 10.1038/s41386-024-01822-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/17/2024] [Accepted: 02/04/2024] [Indexed: 02/26/2024]
Abstract
Patients with severe mental disorders such as bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) show a substantial reduction in life expectancy, increased incidence of comorbid medical conditions commonly observed with advanced age and alterations of aging hallmarks. While severe mental disorders are heritable, the extent to which genetic predisposition might contribute to accelerated cellular aging is not known. We used bivariate causal mixture models to quantify the trait-specific and shared architecture of mental disorders and 2 aging hallmarks (leukocyte telomere length [LTL] and mitochondrial DNA copy number), and the conjunctional false discovery rate method to detect shared genetic loci. We integrated gene expression data from brain regions from GTEx and used different tools to functionally annotate identified loci and investigate their druggability. Aging hallmarks showed low polygenicity compared with severe mental disorders. We observed a significant negative global genetic correlation between MDD and LTL (rg = -0.14, p = 6.5E-10), and no significant results for other severe mental disorders or for mtDNA-cn. However, conditional QQ plots and bivariate causal mixture models pointed to significant pleiotropy among all severe mental disorders and aging hallmarks. We identified genetic variants significantly shared between LTL and BD (n = 17), SCZ (n = 55) or MDD (n = 19), or mtDNA-cn and BD (n = 4), SCZ (n = 12) or MDD (n = 1), with mixed direction of effects. The exonic rs7909129 variant in the SORCS3 gene, encoding a member of the retromer complex involved in protein trafficking and intracellular/intercellular signaling, was associated with shorter LTL and increased predisposition to all severe mental disorders. Genetic variants underlying risk of SCZ or MDD and shorter LTL modulate expression of several druggable genes in different brain regions. Genistein, a phytoestrogen with anti-inflammatory and antioxidant effects, was an upstream regulator of 2 genes modulated by variants associated with risk of MDD and shorter LTL. While our results suggest that shared heritability might play a limited role in contributing to accelerated cellular aging in severe mental disorders, we identified shared genetic determinants and prioritized different druggable targets and compounds.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, School of Health Sciences, Department of Pharmacy, University of Patras, Patras, Greece
- College of Medicine and Health Sciences, Department of Genetics and Genomics, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
- Zayed Center for Health Sciences, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
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Liu H, Wang X, Feng H, Zhou S, Pan J, Ouyang C, Hu X. Obstructive sleep apnea and mental disorders: a bidirectional mendelian randomization study. BMC Psychiatry 2024; 24:304. [PMID: 38654235 DOI: 10.1186/s12888-024-05754-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Previous studies have reported associations between obstructive sleep apnea (OSA) and several mental disorders. However, further research is required to determine whether these associations are causal. Therefore, we evaluated the bidirectional causality between the genetic liability for OSA and nine mental disorders by using Mendelian randomization (MR). METHOD We performed two-sample bidirectional MR of genetic variants for OSA and nine mental disorders. Summary statistics on OSA and the nine mental disorders were extracted from the FinnGen study and the Psychiatric Genomics Consortium. The primary analytical approach for estimating causal effects was the inverse-variance weighted (IVW), with the weighted median and MR Egger as complementary methods. The MR Egger intercept test, Cochran's Q test, Rucker's Q test, and the MR pleiotropy residual sum and outlier (MR-PRESSO) test were used for sensitivity analyses. RESULT MR analyses showed that genetic liability for major depressive disorder (MDD) was associated with an increased risk of OSA (odds ratio [OR] per unit increase in the risk of MDD, 1.29; 95% CI, 1.11-1.49; P < 0.001). In addition, genetic liability for OSA may be associated with an increased risk of attention-deficit/hyperactivity disorder (ADHD) (OR = 1.26; 95% CI, 1.02-1.56; p = 0.032). There was no evidence that OSA is associated with other mental disorders. CONCLUSION Our study indicated that genetic liability for MDD is associated with an increased risk of OSA without a bidirectional relationship. Additionally, there was suggestive evidence that genetic liability for OSA may have a causal effect on ADHD. These findings have implications for prevention and intervention strategies targeting OSA and ADHD. Further research is needed to investigate the biological mechanisms underlying our findings and the relationship between OSA and other mental disorders.
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Affiliation(s)
- Heming Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Xuemei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Hu Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Shengze Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Jinhua Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Changping Ouyang
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China
| | - Xiaobin Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, No.199, Donggang West Road, Chengguan District, 730000, Lanzhou, Gansu Province, China.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Myllyaho T, Siira V, Wahlberg KE, Hakko H, Taka-Eilola T, Läksy K, Tikkanen V, Roisko R, Niemelä M, Räsänen S. Associations of Duration of Preadoption Out-of-home Care, Genetic Risk for Schizophrenia Spectrum Disorders and Adoptive Family Functioning with Later Psychiatric Disorders of Adoptees. Child Psychiatry Hum Dev 2024; 55:350-360. [PMID: 35962879 PMCID: PMC10891258 DOI: 10.1007/s10578-022-01411-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/02/2022] [Indexed: 11/03/2022]
Abstract
The objective was to examine the impacts of duration of preadoption out-of-home care and adoptive family functioning on later psychiatric morbidity of adoptees with high (HR) and low (LR) genetic risk for schizophrenia spectrum disorders. The study uses nationwide data from the Finnish Adoptive Family Study of Schizophrenia. The study population in this substudy consisted of 43 h adoptees and 128 LR adoptees. Of these adoptees, 90 had spent 0-6 months and 81 over 6 months in preadoption out-of-home care. The family functioning of adoptive families was assessed based on Global Family Ratings and psychiatric disorders on DSM-III-R criteria. The results showed that among the adoptees with over 6 months in preadoption out-of-home care, the likelihood for psychiatric disorders was significantly increased in HR adoptees compared to LR adoptees. In adoptees with 6 months or less in preadoption out-of-home care, an increased likelihood for psychiatric disorders was found among those living in adoptive families with dysfunctional processes. These findings indicate that especially for HR children, a well-functioning early caregiving environment is crucial in terms of subsequent mental wellbeing. The results emphasize that when adoption is necessary, early placement and well-functioning adoptive family environment are beneficial to children.
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Affiliation(s)
- Toni Myllyaho
- Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland.
| | - Virva Siira
- Faculty of Education, University of Oulu, P.O. Box 2000, 90014, Oulu, Finland
| | - Karl-Erik Wahlberg
- Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Helinä Hakko
- Department of Psychiatry, Oulu University Hospital, P.O. Box 26, 90014, Oulu, Finland
| | - Tiina Taka-Eilola
- Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Department of Psychiatry, Basic Health Care District of Kallio, Oulu, Finland
| | - Kristian Läksy
- Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Ville Tikkanen
- Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Riikka Roisko
- Department of Psychiatry, Oulu University Hospital, P.O. Box 26, 90014, Oulu, Finland
| | - Mika Niemelä
- Department of Psychiatry, Oulu University Hospital, P.O. Box 26, 90014, Oulu, Finland
- Faculty of Medicine, Center for Life Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Sami Räsänen
- Department of Psychiatry, Oulu University Hospital, P.O. Box 26, 90014, Oulu, Finland
- Faculty of Medicine, Research Unit of Clinical Neuroscience, Psychiatry, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
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Jovasevic V, Wood EM, Cicvaric A, Zhang H, Petrovic Z, Carboncino A, Parker KK, Bassett TE, Moltesen M, Yamawaki N, Login H, Kalucka J, Sananbenesi F, Zhang X, Fischer A, Radulovic J. Formation of memory assemblies through the DNA-sensing TLR9 pathway. Nature 2024; 628:145-153. [PMID: 38538785 PMCID: PMC10990941 DOI: 10.1038/s41586-024-07220-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/21/2024] [Indexed: 04/05/2024]
Abstract
As hippocampal neurons respond to diverse types of information1, a subset assembles into microcircuits representing a memory2. Those neurons typically undergo energy-intensive molecular adaptations, occasionally resulting in transient DNA damage3-5. Here we found discrete clusters of excitatory hippocampal CA1 neurons with persistent double-stranded DNA (dsDNA) breaks, nuclear envelope ruptures and perinuclear release of histone and dsDNA fragments hours after learning. Following these early events, some neurons acquired an inflammatory phenotype involving activation of TLR9 signalling and accumulation of centrosomal DNA damage repair complexes6. Neuron-specific knockdown of Tlr9 impaired memory while blunting contextual fear conditioning-induced changes of gene expression in specific clusters of excitatory CA1 neurons. Notably, TLR9 had an essential role in centrosome function, including DNA damage repair, ciliogenesis and build-up of perineuronal nets. We demonstrate a novel cascade of learning-induced molecular events in discrete neuronal clusters undergoing dsDNA damage and TLR9-mediated repair, resulting in their recruitment to memory circuits. With compromised TLR9 function, this fundamental memory mechanism becomes a gateway to genomic instability and cognitive impairments implicated in accelerated senescence, psychiatric disorders and neurodegenerative disorders. Maintaining the integrity of TLR9 inflammatory signalling thus emerges as a promising preventive strategy for neurocognitive deficits.
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Affiliation(s)
- Vladimir Jovasevic
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Elizabeth M Wood
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ana Cicvaric
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Hui Zhang
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zorica Petrovic
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Anna Carboncino
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kendra K Parker
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas E Bassett
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Maria Moltesen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- PROMEMO, Aarhus University, Aarhus, Denmark
- DANDRITE, Aarhus University, Aarhus, Denmark
| | - Naoki Yamawaki
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- PROMEMO, Aarhus University, Aarhus, Denmark
- DANDRITE, Aarhus University, Aarhus, Denmark
| | - Hande Login
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- PROMEMO, Aarhus University, Aarhus, Denmark
- DANDRITE, Aarhus University, Aarhus, Denmark
| | - Joanna Kalucka
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- PROMEMO, Aarhus University, Aarhus, Denmark
- DANDRITE, Aarhus University, Aarhus, Denmark
| | - Farahnaz Sananbenesi
- Department for Psychiatry and Psychotherapy, German Center for Neurodegenerative Diseases, University Medical Center, Göttingen, Germany
- Cluster of Excellence MBExC, University of Göttingen, Göttingen, Germany
| | - Xusheng Zhang
- Computational Genomics Core, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andre Fischer
- Department for Psychiatry and Psychotherapy, German Center for Neurodegenerative Diseases, University Medical Center, Göttingen, Germany
- Cluster of Excellence MBExC, University of Göttingen, Göttingen, Germany
| | - Jelena Radulovic
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- PROMEMO, Aarhus University, Aarhus, Denmark.
- DANDRITE, Aarhus University, Aarhus, Denmark.
- Department of Psychiatry and Behavioral Sciences, Psychiatry Research Institute Montefiore Einstein (PRIME), Albert Einstein College of Medicine, Bronx, NY, USA.
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Homberg JR, Brivio P, Greven CU, Calabrese F. Individuals being high in their sensitivity to the environment: Are sensitive period changes in play? Neurosci Biobehav Rev 2024; 159:105605. [PMID: 38417743 DOI: 10.1016/j.neubiorev.2024.105605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/13/2024] [Accepted: 02/25/2024] [Indexed: 03/01/2024]
Abstract
All individuals on planet earth are sensitive to the environment, but some more than others. These individual differences in sensitivity to environments are seen across many animal species including humans, and can influence personalities as well as vulnerability and resilience to mental disorders. Yet, little is known about the underlying brain mechanisms. Key genes that contribute to individual differences in environmental sensitivity are the serotonin transporter, dopamine D4 receptor and brain-derived neurotrophic factor genes. By synthesizing neurodevelopmental findings of these genetic factors, and discussing them through the lens of mechanisms related to sensitive periods, which are phases of heightened neuronal plasticity during which a certain network is being finetuned by experiences, we propose that these genetic factors delay but extend postnatal sensitive periods. This may explain why sensitive individuals show behavioral features that are characteristic of a young brain state at the level of sensory information processing, such as reduced filtering or blockade of irrelevant information, resulting in a sensory processing system that 'keeps all options open'.
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Affiliation(s)
- Judith R Homberg
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Paola Brivio
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
| | - Corina U Greven
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands; King's College London, Institute of Psychiatry, Psychology and Neuroscience, Social, Genetic and Developmental Psychiatry Center, London, United Kingdom
| | - Francesca Calabrese
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy
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Wouters RHP, van der Horst MZ, Aalfs CM, Bralten J, Luykx JJ, Zinkstok JR. The ethics of polygenic scores in psychiatry: minefield or opportunity for patient-centered psychiatry? Psychiatr Genet 2024; 34:31-36. [PMID: 38441147 DOI: 10.1097/ypg.0000000000000363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Recent advancements in psychiatric genetics have sparked a lively debate on the opportunities and pitfalls of incorporating polygenic scores into clinical practice. Yet, several ethical concerns have been raised, casting doubt on whether further development and implementation of polygenic scores would be compatible with providing ethically responsible care. While these ethical issues warrant thoughtful consideration, it is equally important to recognize the unresolved need for guidance on heritability among patients and their families. Increasing the availability of genetic counseling services in psychiatry should be regarded as a first step toward meeting these needs. As a next step, future integration of novel genetic tools such as polygenic scores into genetic counseling may be a promising way to improve psychiatric counseling practice. By embedding the exploration of polygenic psychiatry into the supporting environment of genetic counseling, some of the previously identified ethical pitfalls may be prevented, and opportunities to bolster patient empowerment can be seized upon. To ensure an ethically responsible approach to psychiatric genetics, active collaboration with patients and their relatives is essential, accompanied by educational efforts to facilitate informed discussions between psychiatrists and patients.
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Affiliation(s)
- Roel H P Wouters
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marte Z van der Horst
- GGNet Mental Health, Warnsveld, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center, Utrecht, The Netherlands
| | - Cora M Aalfs
- Department of Clinical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Jurjen J Luykx
- GGNet Mental Health, Warnsveld, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center, Utrecht, The Netherlands
| | - Janneke R Zinkstok
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center, Utrecht, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry, University Centre Nijmegen, Nijmegen, The Netherlands
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9
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Garro-Núñez D, Picado-Martínez MJ, Espinoza-Campos E, Ugalde-Araya D, Macaya G, Raventós H, Chavarría-Soley G. Systematic exploration of a decade of publications on psychiatric genetics in Latin America. Am J Med Genet B Neuropsychiatr Genet 2024; 195:e32960. [PMID: 37860990 DOI: 10.1002/ajmg.b.32960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 08/08/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023]
Abstract
Psychiatric disorders have a great impact in terms of mortality, morbidity, and disability across the lifespan. Considerable effort has been devoted to understanding their complex and heterogeneous genetic architecture, including diverse ancestry populations. Our aim was to review the psychiatric genetics research published with Latin American populations from 2010 to 2019, and classify it according to country of origin, type of analysis, source of funding, and other variables. We found that most publications came from Brazil, Mexico, and Colombia. Also, local funds are generally not large enough for genome-wide studies in Latin America, with the exception of Brazil and Mexico; larger studies are often done in collaboration with international partners, mostly funded by US agencies. In most of the larger studies, the participants are individuals of Latin American ancestry living in the United States, which limits the potential for exploring the complex gene-environment interaction. Family studies, traditionally strong in Latin America, represent about 30% of the total research publications. Scarce local resources for research in Latin America have probably been an important limitation for conducting bigger and more complex studies, contributing to the reduced representation of these populations in global psychiatric genetics studies. Increasing diversity must be a goal to improve generalizability and applicability in clinical settings.
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Affiliation(s)
| | | | | | - Daniela Ugalde-Araya
- Center for Research in Cellular and Molecular Biology, Universidad de Costa Rica, San José, Costa Rica
| | - Gabriel Macaya
- Center for Research in Cellular and Molecular Biology, Universidad de Costa Rica, San José, Costa Rica
| | - Henriette Raventós
- Biology School, Universidad de Costa Rica, San José, Costa Rica
- Center for Research in Cellular and Molecular Biology, Universidad de Costa Rica, San José, Costa Rica
| | - Gabriela Chavarría-Soley
- Biology School, Universidad de Costa Rica, San José, Costa Rica
- Center for Research in Cellular and Molecular Biology, Universidad de Costa Rica, San José, Costa Rica
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10
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Zhan ZQ, Huang ZM, Zhou HB, Xie ZX, Chen YZ, Luo YH, Chen PZ, Kang JQ, Cheng ZJ, Sun B. Gastroesophageal reflux disease with 6 neurodegenerative and psychiatric disorders: Genetic correlations, causality, and potential molecular mechanisms. J Psychiatr Res 2024; 172:244-253. [PMID: 38412787 DOI: 10.1016/j.jpsychires.2024.02.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/08/2024] [Accepted: 02/12/2024] [Indexed: 02/29/2024]
Abstract
The comorbidities between gastroesophageal reflux disease (GERD) and various neurodegenerative and psychiatric disorders have been widely reported. However, the genetic correlations, causal relationships, and underlying mechanisms linking GERD to these disorders remain largely unknown. Here, we conducted a bidirectional Mendelian randomization (MR) analysis to determine the causality between GERD and 6 neurodegenerative and psychiatric disorders. Sensitivity analyses and multivariable MR were performed to test the robustness of our findings. Linkage disequilibrium score regression was used to assess the genetic correlation between these diseases as affected by heredity. Multiple bioinformatics tools combining two machine learning algorithms were applied to further investigate the potential mechanisms underlying these diseases. We found that genetically predicted GERD significantly increased the risk of Alzheimer's disease, major depressive disorder, and anxiety disorders. There might be a bidirectional relationship between GERD and insomnia. GERD has varying degrees of genetic correlations with AD, ALS, anxiety disorders, insomnia, and depressive disorder. Bioinformatics analyses revealed the hub shared genes and the common pathways between GERD and 6 neurodegenerative and psychiatric disorders. Our findings demonstrated the complex nature of the genetic architecture across these diseases and clarified their causality, highlighting that treatments for the cure or remission of GERD may serve as potential strategies for preventing and managing neurodegenerative and psychiatric disorders.
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Affiliation(s)
- Zhi-Qing Zhan
- Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China; Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ze-Min Huang
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Hao-Bin Zhou
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Zhi-Xin Xie
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Ying-Zhou Chen
- Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, China
| | - Yu-Hua Luo
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Pei-Zhen Chen
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Jia-Qi Kang
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Zhangkai J Cheng
- Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
| | - Baoqing Sun
- Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
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11
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Bourque VR, Poulain C, Proulx C, Moreau CA, Joober R, Forgeot d'Arc B, Huguet G, Jacquemont S. Genetic and phenotypic similarity across major psychiatric disorders: a systematic review and quantitative assessment. Transl Psychiatry 2024; 14:171. [PMID: 38555309 PMCID: PMC10981737 DOI: 10.1038/s41398-024-02866-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 04/02/2024] Open
Abstract
There is widespread overlap across major psychiatric disorders, and this is the case at different levels of observations, from genetic variants to brain structures and function and to symptoms. However, it remains unknown to what extent these commonalities at different levels of observation map onto each other. Here, we systematically review and compare the degree of similarity between psychiatric disorders at all available levels of observation. We searched PubMed and EMBASE between January 1, 2009 and September 8, 2022. We included original studies comparing at least four of the following five diagnostic groups: Schizophrenia, Bipolar Disorder, Major Depressive Disorder, Autism Spectrum Disorder, and Attention Deficit Hyperactivity Disorder, with measures of similarities between all disorder pairs. Data extraction and synthesis were performed by two independent researchers, following the PRISMA guidelines. As main outcome measure, we assessed the Pearson correlation measuring the degree of similarity across disorders pairs between studies and biological levels of observation. We identified 2975 studies, of which 28 were eligible for analysis, featuring similarity measures based on single-nucleotide polymorphisms, gene-based analyses, gene expression, structural and functional connectivity neuroimaging measures. The majority of correlations (88.6%) across disorders between studies, within and between levels of observation, were positive. To identify a consensus ranking of similarities between disorders, we performed a principal component analysis. Its first dimension explained 51.4% (95% CI: 43.2, 65.4) of the variance in disorder similarities across studies and levels of observation. Based on levels of genetic correlation, we estimated the probability of another psychiatric diagnosis in first-degree relatives and showed that they were systematically lower than those observed in population studies. Our findings highlight that genetic and brain factors may underlie a large proportion, but not all of the diagnostic overlaps observed in the clinic.
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Affiliation(s)
| | - Cécile Poulain
- CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada
| | - Catherine Proulx
- CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada
| | - Clara A Moreau
- Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ridha Joober
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Baudouin Forgeot d'Arc
- CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada
| | - Guillaume Huguet
- CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada
| | - Sébastien Jacquemont
- CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada.
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12
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Leyva-Díaz E, Wilson ES, López-Bendito G. Development has the answer: Unraveling psychiatric disorders via thalamocortical organoids. Cell Stem Cell 2024; 31:283-284. [PMID: 38458174 DOI: 10.1016/j.stem.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 02/12/2024] [Accepted: 02/12/2024] [Indexed: 03/10/2024]
Abstract
Dissecting the role of the thalamus in neuropsychiatric disorders requires new models to analyze complex genetic interactions. In this issue of Cell Stem Cell, Shin et al. use patient-derived thalamocortical organoids to investigate 22q11.2 microdeletion impact on thalamic development, revealing significant transcriptional dysregulation linked to psychiatric disorders.
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Affiliation(s)
- Eduardo Leyva-Díaz
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain
| | - Emily S Wilson
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain
| | - Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain.
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13
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Bulla J, Lindner JF, Mier D, Schulze TG, Senner F, Schlögl-Flierl K. [Genetic studies on forensic-psychiatric inpatients? : Clinical, ethical and legal considerations]. Nervenarzt 2024; 95:262-267. [PMID: 38372772 DOI: 10.1007/s00115-024-01624-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/23/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Research on people deprived of liberty raises serious questions, especially concerning behavioral genetic studies. QUESTION Does including criminally detained patients with mental disorders in genetic studies lead to a gain of new knowledge and can this be ethically and legally justified? METHOD Evaluation of existing literature and interdisciplinary reflection. RESULTS After a review of research ethics and legal norms, we consider the benefits and risks of behavioral genetic research, taking the unique situation of test persons deprived of their liberty into account. The fundamental right to freedom of research also justifies foundational research in forensic psychiatry and psychotherapy. The possible future benefits of improving treatment plans must be weighed against the risks resulting from potential data leaks and inappropriate public reception of research results. Then we analyze possible threats to voluntary and informed consent to study participation in more detail by the ethical concept of vulnerability. Alongside problems with grasping complex issues, above all dependencies and power dynamics in the correctional system play a pivotal role. Recommendations on the ethical and legal inclusion of this study population are given. CONCLUSION Including criminally detained study participants can be ethically and legally justified when autonomous consent is supported by specific organizational and legal procedures and measures, for example via a clear professional and organizational separation of correction and research.
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Affiliation(s)
- Jan Bulla
- Klinik für Forensische Psychiatrie und Psychotherapie, Zentrum für Psychiatrie Reichenau, Feursteinstraße 55, 78479, Reichenau, Deutschland.
- Universität Ulm, Ulm, Deutschland.
| | - Josef Franz Lindner
- Lehrstuhl für Öffentliches Recht, Medizinrecht und Rechtsphilosophie, Universität Augsburg, Augsburg, Deutschland
| | - Daniela Mier
- Fachbereich Psychologie, AG Klinische Psychologie und Psychotherapie, Universität Konstanz, Konstanz, Deutschland
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, LMU München, München, Deutschland
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics, LMU München, München, Deutschland
- Zentrum für Psychiatrie Südwürttemberg, Ravensburg, Deutschland
- Universität Ulm, Ulm, Deutschland
| | - Kerstin Schlögl-Flierl
- Lehrstuhl für Moraltheologie, Zentrum für Interdisziplinäre Gesundheitsforschung, Universität Augsburg, Augsburg, Deutschland
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14
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Freudenberg-Hua Y, Li W, Lee UJ, Ma Y, Koppel J, Goate A. Association between pre-dementia psychiatric diagnoses and all-cause dementia is independent from polygenic dementia risks in the UK Biobank. EBioMedicine 2024; 101:104978. [PMID: 38320878 PMCID: PMC10944156 DOI: 10.1016/j.ebiom.2024.104978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/27/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Psychiatric disorders have been associated with higher risk for future dementia. Understanding how pre-dementia psychiatric disorders (PDPD) relate to established dementia genetic risks has implications for dementia prevention. METHODS In this retrospective cohort study, we investigated the relationships between polygenic risk scores for Alzheimer's disease (AD PRS), PDPD, alcohol use disorder (AUD), and subsequent dementia in the UK Biobank (UKB) and tested whether the relationships are consistent with different causal models. FINDINGS Among 502,408 participants, 9352 had dementia. As expected, AD PRS was associated with greater risk for dementia (odds ratio (OR) 1.62, 95% confidence interval (CI), 1.59-1.65). A total of 94,237 participants had PDPD, of whom 2.6% (n = 2519) developed subsequent dementia, compared to 1.7% (n = 6833) of 407,871 participants without PDPD. Accordingly, PDPD were associated with 73% greater risk of incident dementia (OR 1.73, 1.65-1.83). Among dementia subtypes, the risk increase was 1.5-fold for AD (n = 3365) (OR 1.46, 1.34-1.59) and 2-fold for vascular dementia (VaD, n = 1823) (OR 2.08, 1.87-2.32). Our data indicated that PDPD were neither a dementia prodrome nor a mediator for AD PRS. Shared factors for both PDPD and dementia likely substantially account for the observed association, while a causal role of PDPD in dementia could not be excluded. AUD could be one of the shared causes for PDPD and dementia. INTERPRETATION Psychiatric diagnoses were associated with subsequent dementia in UKB participants, and the association is orthogonal to established dementia genetic risks. Investigating shared causes for psychiatric disorders and dementia would shed light on this dementia pathway. FUNDING US NIH (K08AG054727).
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Affiliation(s)
- Yun Freudenberg-Hua
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.
| | - Wentian Li
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Un Jung Lee
- Biostatistics Unit, Office of Academic Affairs, Northwell Health, New Hyde Park, NY, USA
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Jeremy Koppel
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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15
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Kim H, Ahn Y, Yoon J, Jung K, Kim S, Shim I, Park TH, Ko H, Jung SH, Kim J, Park S, Lee DJ, Choi S, Cha S, Kim B, Cho MY, Cho H, Kim DS, Jang Y, Ihm HK, Park WY, Bakhshi H, O Connell KS, Andreassen OA, Kendler KS, Myung W, Won HH. Genome-wide association analyses using machine learning-based phenotyping reveal genetic architecture of occupational creativity and overlap with psychiatric disorders. Psychiatry Res 2024; 333:115753. [PMID: 38335777 DOI: 10.1016/j.psychres.2024.115753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024]
Abstract
Creativity is known to be heritable and exhibits familial aggregation with psychiatric disorders; however, the complex nature of their relationship has not been well-established. In the present study, we demonstrate that using an expanded and validated machine learning (ML)-based phenotyping of occupational creativity (OC) can allow us to further understand the trait of creativity, which was previously difficult to define and study. We conducted the largest genome-wide association study (GWAS) on OC with 241,736 participants from the UK Biobank and identified 25 lead variants that have not yet been reported and three candidate causal genes that were previously associated with educational attainment and psychiatric disorders. We found extensive genetic overlap between OC and psychiatric disorders with mixed effect direction through various post-GWAS analyses, including the bivariate causal mixture model. In addition, we discovered a strongly genetic correlation between our original GWAS and the GWAS adjusted for education years (rg = 0.95). Our GWAS analysis via ML-based phenotyping contributes to the understanding of the genetic architecture of creativity, which may inform genetic discovery and genetic prediction in human cognition and psychiatric disorders.
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Affiliation(s)
- Hyejin Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Yeeun Ahn
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Joohyun Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Kyeongmin Jung
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Soyeon Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Injeong Shim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Tae Hwan Park
- Department of Plastic Surgery, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwasung, South Korea
| | - Hyunwoong Ko
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul, South Korea; Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea; Dental Research Institute, Seoul National University School of Dentistry, Seoul, South Korea
| | - Sang-Hyuk Jung
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Jaeyoung Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Sanghyeon Park
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Dong June Lee
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Sunho Choi
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
| | - Soojin Cha
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Beomsu Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Min Young Cho
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Hyunbin Cho
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Dan Say Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Yoonjeong Jang
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea; Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Hong Kyu Ihm
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hasan Bakhshi
- Creative Industries Policy and Evidence Centre, Nesta, London, United Kingdom
| | - Kevin S O Connell
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea; Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea.
| | - Hong-Hee Won
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
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16
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Valentim WL, Tylee DS, Polimanti R. A perspective on translating genomic discoveries into targets for brain-machine interface and deep brain stimulation devices. WIREs Mech Dis 2024; 16:e1635. [PMID: 38059513 DOI: 10.1002/wsbm.1635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 10/22/2023] [Accepted: 11/17/2023] [Indexed: 12/08/2023]
Abstract
Mental illnesses have a huge impact on individuals, families, and society, so there is a growing need for more efficient treatments. In this context, brain-computer interface (BCI) technology has the potential to revolutionize the options for neuropsychiatric therapies. However, the development of BCI-based therapies faces enormous challenges, such as power dissipation constraints, lack of credible feedback mechanisms, uncertainty of which brain areas and frequencies to target, and even which patients to treat. Some of these setbacks are due to the large gap in our understanding of brain function. In recent years, large-scale genomic analyses uncovered an unprecedented amount of information regarding the biology of the altered brain function observed across the psychopathology spectrum. We believe findings from genetic studies can be useful to refine BCI technology to develop novel treatment options for mental illnesses. Here, we assess the latest advancements in both fields, the possibilities that can be generated from their intersection, and the challenges that these research areas will need to address to ensure that translational efforts can lead to effective and reliable interventions. Specifically, starting from highlighting the overlap between mechanisms uncovered by large-scale genetic studies and the current targets of deep brain stimulation treatments, we describe the steps that could help to translate genomic discoveries into BCI targets. Because these two research areas have not been previously presented together, the present article can provide a novel perspective for scientists with different research backgrounds. This article is categorized under: Neurological Diseases > Genetics/Genomics/Epigenetics Neurological Diseases > Biomedical Engineering.
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Affiliation(s)
- Wander L Valentim
- Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
- VA CT Healthcare Center, West Haven, Connecticut, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
- VA CT Healthcare Center, West Haven, Connecticut, USA
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17
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Barak R, Goshtasbi G, Fatehi R, Firouzabadi N. Signaling pathways and genetics of brain Renin angiotensin system in psychiatric disorders: State of the art. Pharmacol Biochem Behav 2024; 236:173706. [PMID: 38176544 DOI: 10.1016/j.pbb.2023.173706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024]
Abstract
Along the conventional pathways, Renin-angiotensin system (RAS) plays a key role in the physiology of the CNS and pathogenesis of psychiatric diseases. RAS is a complex regulatory pathway which is composed of several peptides and receptors and comprises two counter-regulatory axes. The classical (ACE1/AngII/AT1 receptor) axis and the contemporary (ACE2/Ang (1-7)/Mas receptor) axis. The genes coding for elements of both axes have been broadly studied. Numerous functional polymorphisms on components of RAS have been identified to serve as informative disease and treatment markers. This review summarizes the role of each peptide and receptor in the pathophysiology of psychiatric disorders (depression, bipolar disorders and schizophrenia), followed by a concise look at the role of genetic polymorphism of the RAS in the pathophysiology of these disorders.
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Affiliation(s)
- Roya Barak
- Department of Pharmacology & Toxicology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Ghazal Goshtasbi
- Department of Pharmacology & Toxicology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reihaneh Fatehi
- Department of Pharmacology & Toxicology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Negar Firouzabadi
- Department of Pharmacology & Toxicology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
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18
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Stassen HH, Bachmann S, Bridler R, Cattapan K, Hartmann AM, Rujescu D, Seifritz E, Weisbrod M, Scharfetter C. Analysis of genetic diversity in patients with major psychiatric disorders versus healthy controls: A molecular-genetic study of 1698 subjects genotyped for 100 candidate genes (549 SNPs). Psychiatry Res 2024; 333:115720. [PMID: 38224633 DOI: 10.1016/j.psychres.2024.115720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND This study analyzed the extent to which irregularities in genetic diversity separate psychiatric patients from healthy controls. METHODS Genetic diversity was quantified through multidimensional "gene vectors" assembled from 4 to 8 polymorphic SNPs located within each of 100 candidate genes. The number of different genotypic patterns observed per gene was called the gene's "diversity index". RESULTS The diversity indices were found to be only weakly correlated with their constituent number of SNPs (20.5 % explained variance), thus suggesting that genetic diversity is an intrinsic gene property that has evolved over the course of evolution. Significant deviations from "normal" diversity values were found for (1) major depression; (2) Alzheimer's disease; and (3) schizoaffective disorders. Almost one third of the genes were correlated with each other, with correlations ranging from 0.0303 to 0.7245. The central finding of this study was the discovery of "singular genes" characterized by distinctive genotypic patterns that appeared exclusively in patients but not in healthy controls. Neural Nets yielded nonlinear classifiers that correctly identified up to 90 % of patients. Overlaps between diagnostic subgroups on the genotype level suggested that (1) diagnoses-crossing vulnerabilities are likely involved in the pathogenesis of major psychiatric disorders; (2) clinically defined diagnoses may not constitute etiological entities. CONCLUSION Detailed analyses of the variation of genotypic patterns in genes along with the correlation between genes lead to nonlinear classifiers that enable very robust separation between psychiatric patients and healthy controls on the genotype level.
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Affiliation(s)
- H H Stassen
- Institute for Response-Genetics, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, Zurich CH-8032, Switzerland.
| | - S Bachmann
- Department of Psychiatry, Psychotherapy, and Psychosomatics, University of Halle, Halle D-06112, Germany; Clienia AG, Psychiatric Hospital, Littenheid CH-9573, Switzerland; Department of Psychiatry, Geneva University Hospitals, Thônex CH-1226, Switzerland
| | - R Bridler
- Sanatorium Kilchberg, Kilchberg CH-8802, Switzerland
| | - K Cattapan
- Sanatorium Kilchberg, Kilchberg CH-8802, Switzerland; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern CH-3012, Switzerland
| | - A M Hartmann
- Clinical Division of General Psychiatry, Medical University of Vienna, Wien A-1090, Austria
| | - D Rujescu
- Clinical Division of General Psychiatry, Medical University of Vienna, Wien A-1090, Austria
| | - E Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, Zurich CH-8032, Switzerland
| | - M Weisbrod
- Department of General Psychiatry, Center of Psychosocial Medicine, University of Heidelberg, Heidelberg D-69115, Germany; SRH Hospital Karlsbad-Langensteinbach, Karlsbad D-76307, Germany
| | - Chr Scharfetter
- Institute for Response-Genetics, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, Zurich CH-8032, Switzerland
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19
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Ma T, Chen M, Cheng X, Bai Y. Assessment of Bidirectional Relationships between Frailty and Mental Disorders: A Bidirectional Mendelian Randomization Study. J Am Med Dir Assoc 2024; 25:506-513.e29. [PMID: 37979598 DOI: 10.1016/j.jamda.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 11/20/2023]
Abstract
OBJECTIVES Although observational studies have reported the association between frailty and mental disorders, the causality remains unclear. We aimed to evaluate the bidirectional causal association between frailty levels and mental disorders using a 2-sample Mendelian randomization (MR) analysis. DESIGN A bidirectional, 2-sample Mendelian randomization (MR) analysis. SETTING AND PARTICIPANTS Instrumental variables were obtained from large-scale genome-wide association study (GWAS) of a European-descent population for frailty index (FI, n = 175,226), Fried Frailty Score (FFS, n = 386,565), major depressive disorder (MDD, n = 674,452), bipolar disorder (n = 353,899), anxiety and stress-related disorder (ASRD, n = 31,880), and schizophrenia (n = 127,906). METHODS Two-sample MR analyses were conducted using inverse variance-weighted method, with sensitivity analyses using MR-Egger, weighted median, and simple median methods. RESULTS Per SD increase in genetically predicted FI and FFS increased the risk of MDD [odds ratio (OR) 1.56, 95% CI 1.27-1.94, P = 3.65 × 10-5, and OR 1.67, 95% CI 1.26-2.20, P = 3.02 × 10-4, respectively]. Per-SD increase in genetically predicted FI also increased the risk of ASRD (OR 2.76, 95% CI 1.36-5.60, P = .005). No significant effect was observed for frailty levels on the risk of bipolar disorder and schizophrenia. In the reverse direction, genetically predicted MDD was associated with higher FI (β 0.182, 95% CI 0.087-0.277, P = 1.79 × 10-4) and FFS (β 0.121, 95% CI 0.087-0.155, P = 4.43 × 10-12). No reliable evidence supported the effects of genetically predicted bipolar disorder, ASRD, or schizophrenia on frailty levels. CONCLUSIONS AND IMPLICATIONS A bidirectionally causal association exists between frailty levels and MDD, and higher FI is associated with a higher risk of ASRD. No reliable evidence suggested the causal associations of other mental disorders with frailty. Our findings provided evidence for introduction of psychological-related strategies in management of frailty.
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Affiliation(s)
- Tianqi Ma
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China; Department of Geriatric Disease, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Minghong Chen
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China; Department of Geriatric Disease, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China; Department of Geriatric Disease, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Yongping Bai
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China; Department of Geriatric Disease, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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20
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Antón-Galindo E, Adel MR, García-González J, Leggieri A, López-Blanch L, Irimia M, Norton WHJ, Brennan CH, Fernàndez-Castillo N, Cormand B. Pleiotropic contribution of rbfox1 to psychiatric and neurodevelopmental phenotypes in two zebrafish models. Transl Psychiatry 2024; 14:99. [PMID: 38374212 PMCID: PMC10876957 DOI: 10.1038/s41398-024-02801-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/21/2024] Open
Abstract
RBFOX1 is a highly pleiotropic gene that contributes to several psychiatric and neurodevelopmental disorders. Both rare and common variants in RBFOX1 have been associated with several psychiatric conditions, but the mechanisms underlying the pleiotropic effects of RBFOX1 are not yet understood. Here we found that, in zebrafish, rbfox1 is expressed in spinal cord, mid- and hindbrain during developmental stages. In adults, expression is restricted to specific areas of the brain, including telencephalic and diencephalic regions with an important role in receiving and processing sensory information and in directing behaviour. To investigate the contribution of rbfox1 to behaviour, we used rbfox1sa15940, a zebrafish mutant line with TL background. We found that rbfox1sa15940 mutants present hyperactivity, thigmotaxis, decreased freezing behaviour and altered social behaviour. We repeated these behavioural tests in a second rbfox1 mutant line with a different genetic background (TU), rbfox1del19, and found that rbfox1 deficiency affects behaviour similarly in this line, although there were some differences. rbfox1del19 mutants present similar thigmotaxis, but stronger alterations in social behaviour and lower levels of hyperactivity than rbfox1sa15940 fish. Taken together, these results suggest that mutations in rbfox1 lead to multiple behavioural changes in zebrafish that might be modulated by environmental, epigenetic and genetic background effects, and that resemble phenotypic alterations present in Rbfox1-deficient mice and in patients with different psychiatric conditions. Our study, thus, highlights the evolutionary conservation of rbfox1 function in behaviour and paves the way to further investigate the mechanisms underlying rbfox1 pleiotropy on the onset of neurodevelopmental and psychiatric disorders.
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Affiliation(s)
- Ester Antón-Galindo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalunya, Spain
- Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalunya, Spain
| | - Maja R Adel
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, Spain
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
- Faculty of Biological Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Judit García-González
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Genetics and Genomic Sciences, Icahn School of Medicine, Mount Sinai, New York, NY, NYC 10029, USA
| | - Adele Leggieri
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Laura López-Blanch
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Catalunya, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Catalunya, Spain
- Universitat Pompeu Fabra, Barcelona, Catalunya, Spain
- ICREA, Barcelona, Catalunya, Spain
| | - William H J Norton
- Department of Genetics and Genome Biology, College of Life Sciences, University of Leicester, Leicester, UK
| | - Caroline H Brennan
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalunya, Spain.
- Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalunya, Spain.
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalunya, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalunya, Spain.
- Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalunya, Spain.
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Lind MJ. Analysis of novel sleep variable highlights shared genetics of sleep and psychiatric disorders. Sleep 2024; 47:zsad311. [PMID: 38097278 PMCID: PMC10851838 DOI: 10.1093/sleep/zsad311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024] Open
Affiliation(s)
- Mackenzie J Lind
- VA Puget Sound Health Care System, Seattle Division, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
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22
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Cardiff K, Ecker LA, Austin J. Psychiatrists' perceptions of and reactions to a simulated psychiatric genetic counseling session. Am J Med Genet A 2024; 194:288-300. [PMID: 37822058 DOI: 10.1002/ajmg.a.63442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/30/2023] [Accepted: 09/30/2023] [Indexed: 10/13/2023]
Abstract
Psychiatric genetic counseling (pGC) has been demonstrated to have meaningful positive outcomes for people with psychiatric conditions and their families. However, it is not widely accessed, and clinical genetics services tend to receive few referrals for these indications. Little research has evaluated psychiatrists' perceptions of and experience with interfacing with pGC. Therefore, we invited Ontario-based psychiatrists to participate in a study in which they first watched a simulated pGC session (representative of typical practice: the patient had depression with no exceptionally dense family history of psychiatric conditions, no genetic testing is provided, and no family-based risk assessment is performed), then completed zoom-based qualitative semi-structured interviews. Interviews were recorded, transcribed verbatim and checked for accuracy. Using interpretive description to analyze interviews with 12 psychiatrists (data collection was stopped at this point, as theoretical sufficiency was achieved), we generated two theoretical models: the first described the decision-making pathway psychiatrists currently follow when determining whether and how to address genetics with a patient; the second described psychiatrists' ideas for integrating pGC into care models for the future. Our data shed light on how to facilitate the delivery of pGC for people with psychiatric conditions and their families.
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Affiliation(s)
- Katharine Cardiff
- Joan H. Marks Graduate Program in Human Genetics, Sarah Lawrence College, Bronxville, New York, USA
| | - Lindsey Alico Ecker
- Joan H. Marks Graduate Program in Human Genetics, Sarah Lawrence College, Bronxville, New York, USA
| | - Jehannine Austin
- Departments of Psychiatry and Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
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23
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Zhang Q, Zhang H, Xu Q. Association of Chronic Obstructive Pulmonary Disease with Risk of Psychiatric Disorders: A Two-Sample Mendelian Randomization Study. Int J Chron Obstruct Pulmon Dis 2024; 19:343-351. [PMID: 38317665 PMCID: PMC10840522 DOI: 10.2147/copd.s442725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 01/14/2024] [Indexed: 02/07/2024] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disorder often accompanied by comorbidities. Although the past few years have witnessed significant scientific progress, the potential relationship between COPD and mental illness remains a subject of debate. Materials and Methods We retrieved COPD data from the genome-wide association studies (GWAS) directory and data on mental illnesses, including Alzheimer's disease, schizophrenia, panic disorder, attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder, multiple disabilities, obsessive-compulsive disorder, post-traumatic stress disorder, and schizophrenia, from the Psychiatric Genomics Consortium. A two-sample Mendelian randomization (MR) approach was applied to explore the association between COPD and mental illnesses, with subgroup analyses based on smoking history. Results Our two-sample MR analysis revealed no causal link between overall COPD and the development of common psychiatric disorders. Subgroup analyses based on smoking history showed no causal association between never-smokers with COPD and the occurrence of psychiatric disorders. However, ever-smokers with COPD were associated with a significantly increased risk of ADHD (OR: 2.303, 95% CI: 1.558-3.403, P = 0.001) and a modestly reduced risk of Alzheimer's disease (OR: 0.994, 95% CI: 0.988-0.999, P = 0.034). Conclusion COPD patients with a history of smoking face a higher risk of developing ADHD but may experience a slight reduction in the risk of Alzheimer's disease. Conversely, there was no observed causal association between COPD and psychiatric disorders among patients who never smoked.
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Affiliation(s)
- Qinxia Zhang
- Department of Respiratory Medicine, The First People’s Hospital of Fuyang, Hangzhou, Zhejiang, 311400, People’s Republic of China
| | - Haifu Zhang
- Department of Medicine, The First People’s Hospital of Fuyang, Hangzhou, Zhejiang, 311400, People’s Republic of China
| | - Qinxing Xu
- Department of Respiratory Medicine, The First People’s Hospital of Fuyang, Hangzhou, Zhejiang, 311400, People’s Republic of China
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24
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Pilkay S, Nolasco M, Nunes S, Riffer A, Femia D, Halevy D, Veerman T, Heiland S, Suwannimit N, Trexler N, Gump B. SLC6A4 gene variants moderate associations between childhood food insecurity and adolescent mental health. Brain Behav 2024; 14:e3426. [PMID: 38361316 PMCID: PMC10869890 DOI: 10.1002/brb3.3426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 11/10/2023] [Accepted: 01/27/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Food insecurity is a persistent concern in the United States and has been shown to affect child mental health and behavior. The SLC6A4 gene has been indicated as a moderator of the effects of chronic stress on anxiety in adolescents aged 14-21. However, it is unclear if SLC6A4 may also play a role in the effects of childhood food insecurity, a form of chronic stress, on adolescent mental health. This study aimed to identify effects of food insecurity on adolescents' mental health and delinquent behavior when both mom and child go hungry in the child's early years, and the potential interaction with SLC6A4 variants (SS/LL). METHODS The data and sample for this research are from the Future of Families and Child Wellbeing Study. The cohort consists of 4898 children (age 1-15 years, male = 47%, African American = 50%) and their respective caregivers sampled from large cities in the United States from 1998 to 2000. RESULTS The SLC6A4 serotonin transporter short/short allele emerged statistically significant as a moderator of childhood food insecurity and adolescent mental health. Specifically, the presence of the short/short allele increased anxiety symptoms in adolescents with exposure to food insecurity in childhood. CONCLUSION The SLC6A4 short/short allele amplifies risk of anxiety-related mental illness when children experience food insecurity. The gene-environment interaction provides insight into the mechanistic pathway of the effects of poverty-related adversity, such as food insecurity, on developmental trajectories of mental health.
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Affiliation(s)
- S. Pilkay
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - M. Nolasco
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - S. Nunes
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - A. Riffer
- Jane Addams College of Social WorkUniversity of Illinois ChicagoChicagoIllinoisUSA
| | - D. Femia
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - D. Halevy
- Wurzweiler School of Social WorkYeshiva UniversityNew YorkNew YorkUSA
| | - T. Veerman
- School of Natural Health, Social and Behavioral Sciences, Social WorkCentenary UniversityHackettstownNew JerseyUSA
| | - S. Heiland
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - N. Suwannimit
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - N. Trexler
- David B. Falk College of Sport and Human Dynamics, School of Social WorkSyracuse UniversitySyracuseNew YorkUSA
| | - B. Gump
- David B. Falk College of Sport and Human Dynamics, Department of Public HealthSyracuse UniversitySyracuseNew YorkUSA
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25
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Fujikane D, Ohi K, Kuramitsu A, Takai K, Muto Y, Sugiyama S, Shioiri T. Genetic correlations between suicide attempts and psychiatric and intermediate phenotypes adjusting for mental disorders. Psychol Med 2024; 54:488-494. [PMID: 37559484 DOI: 10.1017/s0033291723002015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
BACKGROUND Suicide attempts are a moderately heritable trait, and genetic correlations with psychiatric and related intermediate phenotypes have been reported. However, as several mental disorders as well as major depressive disorder (MDD) are strongly associated with suicide attempts, these genetic correlations could be mediated by psychiatric disorders. Here, we investigated genetic correlations of suicide attempts with psychiatric and related intermediate phenotypes, with and without adjusting for mental disorders. METHODS To investigate the genetic correlations, we utilized large-scale genome-wide association study summary statistics for suicide attempts (with and without adjusting for mental disorders), nine psychiatric disorders, and 15 intermediate phenotypes. RESULTS Without adjusting for mental disorders, suicide attempts had significant positive genetic correlations with risks of attention-deficit/hyperactivity disorder, schizophrenia, bipolar disorder, MDD, anxiety disorders and posttraumatic stress disorder; higher risk tolerance; earlier age at first sexual intercourse, at first birth and at menopause; higher parity; lower childhood IQ, educational attainment and cognitive ability; and lower smoking cessation. After adjusting for mental disorders, suicide attempts had significant positive genetic correlations with the risk of MDD; earlier age at first sexual intercourse, at first birth and at menopause; and lower educational attainment. After adjusting for mental disorders, most of the genetic correlations with psychiatric disorders were decreased, while several genetic correlations with intermediate phenotypes were increased. CONCLUSIONS These findings highlight the importance of considering mental disorders in the analysis of genetic correlations related to suicide attempts and suggest that susceptibility to MDD, reproductive behaviors, and lower educational levels share a genetic basis with suicide attempts after adjusting for mental disorders.
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Affiliation(s)
- Daisuke Fujikane
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
- Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Ayumi Kuramitsu
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kentaro Takai
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Toshiki Shioiri
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
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Xia D, Han X, Zeng Y, Wang J, Xu K, Zhang T, Jiang Y, Chen X, Song H, Suo C. Disease trajectory of high neuroticism and the relevance to psychiatric disorders: A retro-prospective cohort study. Acta Psychiatr Scand 2024; 149:133-146. [PMID: 38057974 DOI: 10.1111/acps.13645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/06/2023] [Accepted: 11/23/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Neuroticism is a psychological personality trait that has a significant impact on public health and is also a potential predisposing factor for adverse disease outcomes; however, comprehensive studies of the subsequently developed conditions are lacking. The starting point of disease trajectory in terms of genetic variation remains unclear. METHOD Our study included 344,609 adult participants from the UK Biobank cohort who were virtually followed up from January 1, 1997. Neuroticism levels were assessed using 12 items from the Eysenck Personality Questionnaire. We performed a phenome-wide association analysis of neuroticism and subsequent diseases. Binomial tests and logistic regression models were used to test the temporal directionality and association between disease pairs to construct disease trajectories. We also investigated the association between polygenic risk scores (PRSs) for five psychiatric traits and high neuroticism. RESULTS The risk for 59 diseases was significantly associated with high neuroticism. Depression, anxiety, irritable bowel syndrome, migraine, spondylosis, and sleep disorders were the most likely to develop, with hazard ratios of 6.13, 3.66, 2.28, 1.74, 1.74, and 1.71, respectively. The disease trajectory network revealed two major disease clusters: cardiometabolic and chronic inflammatory diseases. Medium/high genetic risk groups stratified by the PRSs of four psychiatric traits were associated with an elevated risk of high neuroticism. We further identified eight complete phenotypic trajectory clusters of medium or high genetic risk for psychotic, anxiety-, depression-, and stress-related disorders. CONCLUSION Neuroticism plays an important role in the development of somatic and mental disorders. The full picture of disease trajectories from the genetic risk of psychiatric traits and neuroticism in early life to a series of diseases later provides evidence for future research to explore the etiological mechanisms and precision management.
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Affiliation(s)
- Ding Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingru Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Yanfeng Jiang
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Xingdong Chen
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
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Iakunchykova O, Leonardsen EH, Wang Y. Genetic evidence for causal effects of immune dysfunction in psychiatric disorders: where are we? Transl Psychiatry 2024; 14:63. [PMID: 38272880 PMCID: PMC10810856 DOI: 10.1038/s41398-024-02778-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 01/06/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
The question of whether immune dysfunction contributes to risk of psychiatric disorders has long been a subject of interest. To assert this hypothesis a plethora of correlative evidence has been accumulated from the past decades; however, a variety of technical and practical obstacles impeded on a cause-effect interpretation of these data. With the advent of large-scale omics technology and advanced statistical models, particularly Mendelian randomization, new studies testing this old hypothesis are accruing. Here we synthesize these new findings from genomics and genetic causal inference studies on the role of immune dysfunction in major psychiatric disorders and reconcile these new data with pre-omics findings. By reconciling these evidences, we aim to identify key gaps and propose directions for future studies in the field.
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Affiliation(s)
- Olena Iakunchykova
- Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, 0317, Oslo, Norway
| | - Esten H Leonardsen
- Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, 0317, Oslo, Norway
| | - Yunpeng Wang
- Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, 0317, Oslo, Norway.
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Lenge M, Balestrini S, Napolitano A, Mei D, Conti V, Baldassarri G, Trivisano M, Pellacani S, Macconi L, Longo D, Rossi Espagnet MC, Cappelletti S, D'Incerti L, Barba C, Specchio N, Guerrini R. Morphometric network-based abnormalities correlate with psychiatric comorbidities and gene expression in PCDH19-related developmental and epileptic encephalopathy. Transl Psychiatry 2024; 14:35. [PMID: 38238304 PMCID: PMC10796344 DOI: 10.1038/s41398-024-02753-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Protocadherin-19 (PCDH19) developmental and epileptic encephalopathy causes an early-onset epilepsy syndrome with limbic seizures, typically occurring in clusters and variably associated with intellectual disability and a range of psychiatric disorders including hyperactive, obsessive-compulsive and autistic features. Previous quantitative neuroimaging studies revealed abnormal cortical areas in the limbic formation (parahippocampal and fusiform gyri) and underlying white-matter fibers. In this study, we adopted morphometric, network-based and multivariate statistical methods to examine the cortex and substructure of the hippocampus and amygdala in a cohort of 20 PCDH19-mutated patients and evaluated the relation between structural patterns and clinical variables at individual level. We also correlated morphometric alterations with known patterns of PCDH19 expression levels. We found patients to exhibit high-significant reductions of cortical surface area at a whole-brain level (left/right pvalue = 0.045/0.084), and particularly in the regions of the limbic network (left/right parahippocampal gyri pvalue = 0.230/0.016; left/right entorhinal gyri pvalue = 0.002/0.327), and bilateral atrophy of several subunits of the amygdala and hippocampus, particularly in the CA regions (head of the left CA3 pvalue = 0.002; body of the right CA3 pvalue = 0.004), and differences in the shape of hippocampal structures. More severe psychiatric comorbidities correlated with more significant altered patterns, with the entorhinal gyrus (pvalue = 0.013) and body of hippocampus (pvalue = 0.048) being more severely affected. Morphometric alterations correlated significantly with the known expression patterns of PCDH19 (rvalue = -0.26, pspin = 0.092). PCDH19 encephalopathy represents a model of genetically determined neural network based neuropsychiatric disease in which quantitative MRI-based findings correlate with the severity of clinical manifestations and had have a potential predictive value if analyzed early.
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Affiliation(s)
- Matteo Lenge
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Simona Balestrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Davide Mei
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Valerio Conti
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Giulia Baldassarri
- Medical Physics Department, Bambino Gesù Children's Hospital, IRCCS, 00100, Rome, Italy
| | - Marina Trivisano
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Simona Pellacani
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Letizia Macconi
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Daniela Longo
- Functional and Interventional Neuroimaging Unit, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | | | - Simona Cappelletti
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Ludovico D'Incerti
- Pediatric Radiology Unit, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Carmen Barba
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy
| | - Nicola Specchio
- Neurology, Epilepsy and Movement Disorders, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, 00165, Rome, Italy
| | - Renzo Guerrini
- Child Neurology Unit and Laboratories, Neuroscience Department, Meyer Children's Hospital IRCCS, 50139, Florence, Italy.
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Chen Y, Peng W, Pang M, Zhu B, Liu H, Hu D, Luo Y, Wang S, Wu S, He J, Yang Y, Peng D. The effects of psychiatric disorders on the risk of chronic heart failure: a univariable and multivariable Mendelian randomization study. Front Public Health 2024; 12:1306150. [PMID: 38299073 PMCID: PMC10827915 DOI: 10.3389/fpubh.2024.1306150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024] Open
Abstract
Background Substantial evidence suggests an association between psychiatric disorders and chronic heart failure. However, further investigation is needed to confirm the causal relationship between these psychiatric disorders and chronic heart failure. To address this, we evaluated the potential effects of five psychiatric disorders on chronic heart failure using two-sample Mendelian Randomization (MR). Methods We selected single nucleotide polymorphisms (SNPs) associated with chronic heart failure and five psychiatric disorders (Attention-Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Major Depression, Bipolar Disorder and Schizophrenia (SCZ)). Univariable (UVMR) and multivariable two-sample Mendelian Randomization (MVMR) were employed to assess causality between these conditions. Ever smoked and alcohol consumption were controlled for mediating effects in the multivariable MR. The inverse variance weighting (IVW) and Wald ratio estimator methods served as the primary analytical methods for estimating potential causal effects. MR-Egger and weighted median analyses were also conducted to validate the results. Sensitivity analyses included the funnel plot, leave-one-out, and MR-Egger intercept tests. Additionally, potential mediators were investigated through risk factor analyses. Results Genetically predicted heart failure was significantly associated with ADHD (odds ratio (OR), 1.12; 95% CI, 1.04-1.20; p = 0.001), ASD (OR, 1.29; 95% CI, 1.07-1.56; p = 0.008), bipolar disorder (OR, 0.89; 95% CI, 0.83-0.96; p = 0.001), major depression (OR, 1.15; 95% CI, 1.03-1.29; p = 0.015), SCZ (OR, 1.04; 95% CI, 1.00-1.07; p = 0.024). Several risk factors for heart failure are implicated in the above cause-and-effect relationship, including ever smoked and alcohol consumption. Conclusion Our study demonstrated ADHD, ASD, SCZ and major depression may have a causal relationship with an increased risk of heart failure. In contrast, bipolar disorder was associated with a reduced risk of heart failure, which could potentially be mediated by ever smoked and alcohol consumption. Therefore, prevention strategies for heart failure should also incorporate mental health considerations, and vice versa.
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Affiliation(s)
- Yang Chen
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Wenke Peng
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Min Pang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Botao Zhu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Huixing Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Die Hu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Yonghong Luo
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Shuai Wang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Sha Wu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Jia He
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Yang Yang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
| | - Daoquan Peng
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
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Colită CI, Udristoiu I, Ancuta DL, Hermann DM, Colita D, Colita E, Glavan D, Popa-Wagner A. Epigenetics of Ageing and Psychiatric Disorders. J Integr Neurosci 2024; 23:13. [PMID: 38287856 DOI: 10.31083/j.jin2301013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 01/31/2024] Open
Abstract
Both classic epigenetic modifications and microRNAs can impact a range of bodily processes, from metabolism to brain function, and may contribute to the development of diseases such as cancer, cardiovascular disorders, and psychiatric disorders. Numerous studies suggest a connection between epigenetic changes and mood disorders. In this study, we performed a comprehensive search using PubMed and Google for the terms "epigenetics", "ageing", "miRNA", "schizophrenia", and "mood disorders" in the titles and abstracts of articles. Epigenetic changes during early life may play a crucial role in triggering severe mental disorders and shaping their clinical trajectory. Although these alterations can take place at any age, their impact may not be immediately evident or observable until later in life. Epigenetic modifications play a crucial role in the ageing process and challenge the prevailing belief that mutations are the primary driver of ageing. However, it is plausible that these epigenetic changes are a consequence of the disorder rather than its root cause. Moreover, both the disorder and the epigenetic alterations may be influenced by shared environmental or genetic factors. In the near future, we might be able to replace chronological age with biological age, based on the epigenetic clock, with the promise of providing greater therapeutic benefits. A wide range of epigenetic drugs are currently under development at various stages. Although their full effectiveness is yet to be realized, they show great potential in the treatment of cancer, psychiatric disorders, and other complex diseases.
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Affiliation(s)
- Cezar-Ivan Colită
- Doctoral School, University of Medicine and Pharmacy Carol Davila, 050474 Bucharest, Romania
| | - Ion Udristoiu
- Department of Psychiatry, University of Medicine and Pharmacy, 200349 Craiova, Romania
| | - Diana-Larisa Ancuta
- Cantacuzino National Medico-Military Institute for Research and Development, 050096 Bucharest, Romania
| | - Dirk M Hermann
- Doctoral School, University of Medicine and Pharmacy Carol Davila, 050474 Bucharest, Romania
- Chair of Vascular Neurology, Dementia and Ageing, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
| | - Daniela Colita
- Doctoral School, University of Medicine and Pharmacy Carol Davila, 050474 Bucharest, Romania
| | - Eugen Colita
- Doctoral School, University of Medicine and Pharmacy Carol Davila, 050474 Bucharest, Romania
| | - Daniela Glavan
- Department of Psychiatry, University of Medicine and Pharmacy, 200349 Craiova, Romania
| | - Aurel Popa-Wagner
- Department of Psychiatry, University of Medicine and Pharmacy, 200349 Craiova, Romania
- Chair of Vascular Neurology, Dementia and Ageing, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
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McClellan JM, Zoghbi AW, Buxbaum JD, Cappi C, Crowley JJ, Flint J, Grice DE, Gulsuner S, Iyegbe C, Jain S, Kuo PH, Lattig MC, Passos-Bueno MR, Purushottam M, Stein DJ, Sunshine AB, Susser ES, Walsh CA, Wootton O, King MC. An evolutionary perspective on complex neuropsychiatric disease. Neuron 2024; 112:7-24. [PMID: 38016473 PMCID: PMC10842497 DOI: 10.1016/j.neuron.2023.10.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/09/2023] [Accepted: 10/26/2023] [Indexed: 11/30/2023]
Abstract
The forces of evolution-mutation, selection, migration, and genetic drift-shape the genetic architecture of human traits, including the genetic architecture of complex neuropsychiatric illnesses. Studying these illnesses in populations that are diverse in genetic ancestry, historical demography, and cultural history can reveal how evolutionary forces have guided adaptation over time and place. A fundamental truth of shared human biology is that an allele responsible for a disease in anyone, anywhere, reveals a gene critical to the normal biology underlying that condition in everyone, everywhere. Understanding the genetic causes of neuropsychiatric disease in the widest possible range of human populations thus yields the greatest possible range of insight into genes critical to human brain development. In this perspective, we explore some of the relationships between genes, adaptation, and history that can be illuminated by an evolutionary perspective on studies of complex neuropsychiatric disease in diverse populations.
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Affiliation(s)
- Jon M McClellan
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
| | - Anthony W Zoghbi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carolina Cappi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - James J Crowley
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jonathan Flint
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Dorothy E Grice
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Suleyman Gulsuner
- Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Conrad Iyegbe
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan
| | | | | | - Meera Purushottam
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Anna B Sunshine
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Ezra S Susser
- Department of Epidemiology, Mailman School of Public Health, and New York State Psychiatric Institute, Columbia University, New York, NY 10032, USA
| | - Christopher A Walsh
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Olivia Wootton
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Mary-Claire King
- Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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Davydova YD, Kazantseva AV, Khusnutdinova EK. [A perspective on the application of CRISPR/CAS9 genome editing system to study of molecular-genetic basis of mental disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:27-33. [PMID: 38529860 DOI: 10.17116/jnevro202412403127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Schizophrenia, depression, bipolar disorder and autism spectrum disorders are common mental disorders that are among the leading causes of disability worldwide. The major complication to effective therapies for mental disorders is the poor understanding of their pathogenic mechanisms. Currently, an increasing number of research groups are focusing on uncovering the molecular mechanisms of mental disorders and developing novel therapies using the CRISPR/Cas9 (Clustered, Regularly Interspaced, Short Palindromic Repeats (CRISPR) - CRISPR-associated system 9 (Cas9)) system to determine the molecular mechanisms of developing mental disorders and novel therapy. The CRISPR/Cas9 system is the most promising among genome editing tools. Numerous advantages of the CRISPR/Cas9 system and its successful application in some studies provide wide opportunities for genome therapy and regeneration medicine. In this review we shortly describe structure and function of the CRISPR/Cas9 system and its application to study the molecular-genetic basis of mental disorders in human.
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Affiliation(s)
- Yu D Davydova
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa University of Science and Technology, Ufa, Russia
| | - A V Kazantseva
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa State Petroleum Technical University, Ufa, Russia
| | - E K Khusnutdinova
- Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Ufa University of Science and Technology, Ufa, Russia
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Oginni OA, Ayorinde A, Ayodele KD, Opara OJ, Mapayi B, Mosaku K. The Challenges and Opportunities for Mental Health Twin Research in Nigeria. Behav Genet 2024; 54:42-50. [PMID: 37733122 PMCID: PMC10822790 DOI: 10.1007/s10519-023-10153-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/23/2023] [Indexed: 09/22/2023]
Abstract
The recent interest in increasing diversity in genetic research can be useful in uncovering novel insights into the genetic architecture of mental health disorders - globally and in previously unexplored settings such as low- and middle-income settings like Nigeria. Genetic research into mental health is potentially promising in Nigeria and we reflect on the challenges and opportunities for twin research which may be particularly suited to Nigeria. The higher rates of twinning in Africa and Nigeria specifically, make the twin design an affordable and readily maintainable approach for genetic research in the country. Despite potential challenges with recruitment, data collection, data analysis and dissemination; the success of current efforts suggest that the twin design can tapped even further for greater impact in the country. We highlight some ways in which the scope of twin research can be increased and suggest some ways in which existing challenges can be overcome including recent Patient Participant Involve and Engagement activities.
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Affiliation(s)
- Olakunle Ayokunmi Oginni
- Department of Mental Health, Obafemi Awolowo University, Ile-Ife, Nigeria.
- Department of Mental Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile- Ife, Nigeria.
- Social, Genetic and Developmental Psychiatry, King's College London, London, UK.
| | - Ayoyinka Ayorinde
- Department of Mental Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile- Ife, Nigeria
| | - Kehinde Dorcas Ayodele
- Department of Mental Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile- Ife, Nigeria
| | | | - Boladale Mapayi
- Department of Mental Health, Obafemi Awolowo University, Ile-Ife, Nigeria
- Department of Mental Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile- Ife, Nigeria
| | - Kolawole Mosaku
- Department of Mental Health, Obafemi Awolowo University, Ile-Ife, Nigeria
- Department of Mental Health, Obafemi Awolowo University Teaching Hospitals Complex, Ile- Ife, Nigeria
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Rea-Sandin G, Del Toro J, Wilson S. The Heritability of Psychopathology Symptoms in Early Adolescence: Moderation by Family Cultural Values in the ABCD Study. Behav Genet 2024; 54:119-136. [PMID: 37702839 PMCID: PMC10833244 DOI: 10.1007/s10519-023-10154-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/04/2023] [Indexed: 09/14/2023]
Abstract
Family cultural values that emphasize support, loyalty, and obligation to the family are associated with lower psychopathology in Hispanic/Latino/a youth, but there is a need to understand the implications of family cultural values for youth development in racially/ethnically heterogeneous samples. This study examined phenotypic associations between parent- and youth-reported family cultural values in late childhood on youth internalizing and externalizing symptoms in early adolescence, and whether family cultural values moderated genetic and environmental influences on psychopathology symptoms. The sample comprised 10,335 children (Mage=12.89 years; 47.9% female; 20.3% Hispanic/Latino/a, 15.0% Black, 2.1% Asian, 10.5% other) and their parents from the Adolescent Brain Cognitive Development (ABCD) Study, and biometric models were conducted in the twin subsample (n = 1,042 twin pairs; 43.3% monozygotic). Parents and youth reported on their family cultural values using the Mexican American Cultural Values Scale at youth age 11-12, and parents reported on youth internalizing and externalizing symptoms using the Child Behavior Checklist at youth ages 11-12 and 12-13. Greater parent- and youth-reported family cultural values predicted fewer youth internalizing and externalizing symptoms. Biometric models indicated that higher parent-reported family cultural values increased the nonshared environmental influences on externalizing symptoms whereas youth-reported family cultural values decreased the nonshared environmental influences on internalizing symptoms. This study highlights the need for behavior genetic research to consider a diverse range of cultural contexts to better understand the etiology of youth psychopathology.
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Affiliation(s)
- Gianna Rea-Sandin
- Department of Psychology, , University of Minnesota, Minneapolis, MN, USA.
| | - Juan Del Toro
- Department of Psychology, , University of Minnesota, Minneapolis, MN, USA
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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Wang Y, Yao T, Lin Y, Ye L, Li S, Gao Y, Wu J. Exploring genetic associations between vitiligo and mental disorders using Mendelian randomization. Exp Dermatol 2024; 33:e14979. [PMID: 37975615 DOI: 10.1111/exd.14979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/10/2023] [Accepted: 11/04/2023] [Indexed: 11/19/2023]
Abstract
Although a large number of existing studies have confirmed that people with vitiligo are prone to mental disorders, these observational studies may be subject to confounding factors and reverse causality, so the true causal relationship is inconclusive. We conducted a bidirectional Mendelian randomization (MR) analysis to assess the causality between vitiligo and mental disorders, namely depression, anxiety, insomnia, schizophrenia, bipolar disorder, obsessive-compulsive disorder (OCD) and attention-deficit hyperactivity disorder (ADHD). Summary statistics from large available genome-wide association study (GWAS) datasets for generalized vitiligo (n = 44 266), depression (n = 173 005), anxiety (n = 17 310), insomnia (n = 386 988), schizophrenia (n = 130 644), bipolar disorder (n = 413 466), OCD (n = 9725) and ADHD (n = 225 534) were utilized. Inverse-variance weighted (IVW), MR-Egger and weighted median were employed to estimate causal effects. Sensitivity analysis and MR Pleiotropy Residual Sum and Outliers (MR PRESSO) were conducted to assess heterogeneity and pleiotropy, ensuring the robustness of the results. Additionally, we corrected for estimating bias that might be brought on by sample overlap using MRlap. In our findings, none of the rigorous bidirectional MR analyses uncovered a significant causal association. Even after applying the MRlap correction, the effect sizes remained statistically nonsignificant, thereby reinforcing the conclusions drawn via IVW. In summary, our genetic-level investigation did not reveal a causal link between generalized vitiligo and mental disorders.
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Affiliation(s)
- Yingwei Wang
- Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Tao Yao
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yunlu Lin
- Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lili Ye
- Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shuting Li
- Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu Gao
- Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jianming Wu
- Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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Oraki Kohshour M, Heilbronner U. The significance of an integrated multi-omics approach in psychiatric disorders: A pharmacological perspective. Eur Neuropsychopharmacol 2024; 78:64-66. [PMID: 37977087 DOI: 10.1016/j.euroneuro.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, 80336, Munich, Germany; Department of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, 80336, Munich, Germany.
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Rodrigues-Ribeiro L, Resende BL, Pinto Dias ML, Lopes MR, de Barros LLM, Moraes MA, Verano-Braga T, Souza BR. Neuroproteomics: Unveiling the Molecular Insights of Psychiatric Disorders with a Focus on Anxiety Disorder and Depression. Adv Exp Med Biol 2024; 1443:103-128. [PMID: 38409418 DOI: 10.1007/978-3-031-50624-6_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Anxiety and depression are two of the most common mental disorders worldwide, with a lifetime prevalence of up to 30%. These disorders are complex and have a variety of overlapping factors, including genetic, environmental, and behavioral factors. Current pharmacological treatments for anxiety and depression are not perfect. Many patients do not respond to treatment, and those who do often experience side effects. Animal models are crucial for understanding the complex pathophysiology of both disorders. These models have been used to identify potential targets for new treatments, and they have also been used to study the effects of environmental factors on these disorders. Recent proteomic methods and technologies are providing new insights into the molecular mechanisms of anxiety disorder and depression. These methods have been used to identify proteins that are altered in these disorders, and they have also been used to study the effects of pharmacological treatments on protein expression. Together, behavioral and proteomic research will help elucidate the factors involved in anxiety disorder and depression. This knowledge will improve preventive strategies and lead to the development of novel treatments.
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Affiliation(s)
- Lucas Rodrigues-Ribeiro
- Department of Physiology and Biophysics, National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Physiology and Biophysics, Proteomics Group (NPF), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Bruna Lopes Resende
- Department of Physiology and Biophysics, Laboratory of Neurodevelopment and Evolution (NeuroDEv), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Maria Luiza Pinto Dias
- Department of Physiology and Biophysics, National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Physiology and Biophysics, Proteomics Group (NPF), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Megan Rodrigues Lopes
- Department of Physiology and Biophysics, National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Physiology and Biophysics, Proteomics Group (NPF), Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Physiology and Biophysics, Laboratory of Neurodevelopment and Evolution (NeuroDEv), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Larissa Luppi Monteiro de Barros
- Department of Physiology and Biophysics, National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Federal University of Minas Gerais, Belo Horizonte, Brazil
- Department of Physiology and Biophysics, Proteomics Group (NPF), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Muiara Aparecida Moraes
- Department of Physiology and Biophysics, Laboratory of Neurodevelopment and Evolution (NeuroDEv), Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Thiago Verano-Braga
- Department of Physiology and Biophysics, National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Federal University of Minas Gerais, Belo Horizonte, Brazil.
- Department of Physiology and Biophysics, Proteomics Group (NPF), Federal University of Minas Gerais, Belo Horizonte, Brazil.
| | - Bruno Rezende Souza
- Department of Physiology and Biophysics, Laboratory of Neurodevelopment and Evolution (NeuroDEv), Federal University of Minas Gerais, Belo Horizonte, Brazil.
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38
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Clarin JD, Reddy N, Alexandropoulos C, Gao WJ. The role of cell adhesion molecule IgSF9b at the inhibitory synapse and psychiatric disease. Neurosci Biobehav Rev 2024; 156:105476. [PMID: 38029609 PMCID: PMC10842117 DOI: 10.1016/j.neubiorev.2023.105476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/15/2023] [Accepted: 11/18/2023] [Indexed: 12/01/2023]
Abstract
Understanding perturbations in synaptic function between health and disease states is crucial to the treatment of neuropsychiatric illness. While genome-wide association studies have identified several genetic loci implicated in synaptic dysfunction in disorders such as autism and schizophrenia, many have not been rigorously characterized. Here, we highlight immunoglobulin superfamily member 9b (IgSF9b), a cell adhesion molecule thought to localize exclusively to inhibitory synapses in the brain. While both pre-clinical and clinical studies suggest its association with psychiatric diseases, our understanding of IgSF9b in synaptic maintenance, neural circuits, and behavioral phenotypes remains rudimentary. Moreover, these functions wield undiscovered influences on neurodevelopment. This review evaluates current literature and publicly available gene expression databases to explore the implications of IgSF9b dysfunction in rodents and humans. Through a focused analysis of one high-risk gene locus, we identify areas requiring further investigation and unearth clues related to broader mechanisms contributing to the synaptic etiology of psychiatric disorders.
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Affiliation(s)
- Jacob D Clarin
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, United States
| | - Natasha Reddy
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, United States
| | - Cassandra Alexandropoulos
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, United States
| | - Wen-Jun Gao
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, United States.
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39
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Qi B, Trakadis YJ. Advancing Clinical Psychiatry: Integration of Clinical and Omics Data Using Machine Learning. Biol Psychiatry 2023; 94:908-909. [PMID: 37968028 DOI: 10.1016/j.biopsych.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 11/17/2023]
Affiliation(s)
- Bill Qi
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Yannis J Trakadis
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada; Department of Specialized Medicine, Division of Medical Genetics, McGill University Health Center, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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40
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Penner-Goeke S, Bothe M, Rek N, Kreitmaier P, Pöhlchen D, Kühnel A, Glaser LV, Kaya E, Krontira AC, Röh S, Czamara D, Ködel M, Monteserin-Garcia J, Diener L, Wölfel B, Sauer S, Rummel C, Riesenberg S, Arloth-Knauer J, Ziller M, Labeur M, Meijsing S, Binder EB. High-throughput screening of glucocorticoid-induced enhancer activity reveals mechanisms of stress-related psychiatric disorders. Proc Natl Acad Sci U S A 2023; 120:e2305773120. [PMID: 38011552 DOI: 10.1073/pnas.2305773120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/01/2023] [Indexed: 11/29/2023] Open
Abstract
Exposure to stressful life events increases the risk for psychiatric disorders. Mechanistic insight into the genetic factors moderating the impact of stress can increase our understanding of disease processes. Here, we test 3,662 single nucleotide polymorphisms (SNPs) from preselected expression quantitative trait loci in massively parallel reporter assays to identify genetic variants that modulate the activity of regulatory elements sensitive to glucocorticoids, important mediators of the stress response. Of the tested SNP sequences, 547 were located in glucocorticoid-responsive regulatory elements of which 233 showed allele-dependent activity. Transcripts regulated by these functional variants were enriched for those differentially expressed in psychiatric disorders in the postmortem brain. Phenome-wide Mendelian randomization analysis in 4,439 phenotypes revealed potentially causal associations specifically in neurobehavioral traits, including major depression and other psychiatric disorders. Finally, a functional gene score derived from these variants was significantly associated with differences in the physiological stress response, suggesting that these variants may alter disease risk by moderating the individual set point of the stress response.
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Affiliation(s)
- Signe Penner-Goeke
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- Graduate School of Systemic Neurosciences, Ludwig Maximilian University of Munich, Planegg 82152, Germany
| | - Melissa Bothe
- Department of Computational Molecular Biology, Max Planck Institute of Molecular Genetics, Berlin 14195, Germany
| | - Nils Rek
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Peter Kreitmaier
- Institute of Translational Genomics, Helmholtz Munich, Neuherberg 85764, Germany
| | - Dorothee Pöhlchen
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Anne Kühnel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Laura V Glaser
- Department of Computational Molecular Biology, Max Planck Institute of Molecular Genetics, Berlin 14195, Germany
| | - Ezgi Kaya
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- Graduate School of Systemic Neurosciences, Ludwig Maximilian University of Munich, Planegg 82152, Germany
| | - Anthi C Krontira
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- International Max Planck Research School for Translational Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Simone Röh
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Maik Ködel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Jose Monteserin-Garcia
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Laura Diener
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Barbara Wölfel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Susann Sauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Christine Rummel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Stephan Riesenberg
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Janine Arloth-Knauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Michael Ziller
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
- Department of Psychiatry, University of Muenster, Muenster 48149, Germany
| | - Marta Labeur
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Sebastiaan Meijsing
- Department of Computational Molecular Biology, Max Planck Institute of Molecular Genetics, Berlin 14195, Germany
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich 80804, Germany
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Griesius S, Waldron S, Kamenish KA, Cherbanich N, Wilkinson LS, Thomas KL, Hall J, Mellor JR, Dwyer DM, Robinson ESJ. A mild impairment in reversal learning in a bowl-digging substrate deterministic task but not other cognitive tests in the Dlg2+/- rat model of genetic risk for psychiatric disorder. Genes Brain Behav 2023; 22:e12865. [PMID: 37705179 PMCID: PMC10733576 DOI: 10.1111/gbb.12865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/15/2023]
Abstract
Variations in the Dlg2 gene have been linked to increased risk for psychiatric disorders, including schizophrenia, autism spectrum disorders, intellectual disability, bipolar disorder, attention deficit hyperactivity disorder, and pubertal disorders. Recent studies have reported disrupted brain circuit function and behaviour in models of Dlg2 knockout and haploinsufficiency. Specifically, deficits in hippocampal synaptic plasticity were found in heterozygous Dlg2+/- rats suggesting impacts on hippocampal dependent learning and cognitive flexibility. Here, we tested these predicted effects with a behavioural characterisation of the heterozygous Dlg2+/- rat model. Dlg2+/- rats exhibited a specific, mild impairment in reversal learning in a substrate deterministic bowl-digging reversal learning task. The performance of Dlg2+/- rats in other bowl digging task, visual discrimination and reversal, novel object preference, novel location preference, spontaneous alternation, modified progressive ratio, and novelty-suppressed feeding test were not impaired. These findings suggest that despite altered brain circuit function, behaviour across different domains is relatively intact in Dlg2+/- rats, with the deficits being specific to only one test of cognitive flexibility. The specific behavioural phenotype seen in this Dlg2+/- model may capture features of the clinical presentation associated with variation in the Dlg2 gene.
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Affiliation(s)
- Simonas Griesius
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Sophie Waldron
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
| | - Katie A. Kamenish
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Nick Cherbanich
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Lawrence S. Wilkinson
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Schools of Medicine and Genetics and Genomics, Schools of Medicine and PsychologyCardiffUK
| | - Kerrie L. Thomas
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of Medicine and PsychologyCardiffUK
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Schools of Medicine and Genetics and Genomics, Schools of Medicine and PsychologyCardiffUK
- Department of Medicine and PsychologyCardiffUK
| | - Jack R. Mellor
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
| | - Dominic M. Dwyer
- Neuroscience and Mental Health Research Institute, PsychologyCardiffUK
- Department of PsychologyCardiffUK
| | - Emma S. J. Robinson
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology and Neuroscience, University of Bristol, University WalkBristolUK
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42
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Misztal MC, Tio ES, Mohan A, Felsky D. Interactions between genetic risk for 21 neurodevelopmental and psychiatric disorders and sport activity on youth mental health. Psychiatry Res 2023; 330:115550. [PMID: 37973444 DOI: 10.1016/j.psychres.2023.115550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/06/2023] [Accepted: 10/16/2023] [Indexed: 11/19/2023]
Abstract
Childhood is a sensitive period where behavioral disturbances, determined by genetics and environmental factors including sport activity, may emerge and impact risk of mental illness in adulthood. We aimed to determine if participation in sports can mitigate genetic risk for neurodevelopmental and psychiatric disorders in youth. We analyzed 4975 unrelated European youth (ages 9-10) from the Adolescent Brain Cognitive Development Study. Our outcomes were eight Child Behavior Checklist (CBCL) scores, measured annually. Polygenic risk scores (PRSs) were calculated for 21 disorders, and sport frequency and type were summarized. PRSs and sport variables were tested for main effects and interactions against CBCL outcomes using linear models. Cross-sectionally, PRSs for attention-deficit/hyperactivity disorder and major depressive disorder were associated with increases in multiple CBCL outcomes. Participation in non-contact or team sports, as well as more frequent sport participation reduced all cross-sectional CBCL outcomes, whereas involvement in contact sports increased attention problems and rule-breaking behavior. Interactions revealed that more frequent exercise was significantly associated with less rule breaking behavior in individuals with high genetic risk for obsessive compulsive disorder. Associations with longitudinal CBCL outcomes demonstrated weaker effects. We highlight the importance of genetic context when considering sports as an intervention for early life behavioural problems.
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Affiliation(s)
- Melissa C Misztal
- The Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Earvin S Tio
- The Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Akshay Mohan
- The Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Centre for Industrial Relations and Human Resources, University of Toronto, Toronto, ON, Canada
| | - Daniel Felsky
- The Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
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43
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Bousman CA, Maruf AA, Marques DF, Brown LC, Müller DJ. The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review. Psychol Med 2023; 53:7983-7993. [PMID: 37772416 PMCID: PMC10755240 DOI: 10.1017/s0033291723002817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023]
Abstract
Psychotropic medication efficacy and tolerability are critical treatment issues faced by individuals with psychiatric disorders and their healthcare providers. For some people, it can take months to years of a trial-and-error process to identify a medication with the ideal efficacy and tolerability profile. Current strategies (e.g. clinical practice guidelines, treatment algorithms) for addressing this issue can be useful at the population level, but often fall short at the individual level. This is, in part, attributed to interindividual variation in genes that are involved in pharmacokinetic (i.e. absorption, distribution, metabolism, elimination) and pharmacodynamic (e.g. receptors, signaling pathways) processes that in large part, determine whether a medication will be efficacious or tolerable. A precision prescribing strategy know as pharmacogenomics (PGx) assesses these genomic variations, and uses it to inform selection and dosing of certain psychotropic medications. In this review, we describe the path that led to the emergence of PGx in psychiatry, the current evidence base and implementation status of PGx in the psychiatric clinic, and finally, the future growth potential of precision psychiatry via the convergence of the PGx-guided strategy with emerging technologies and approaches (i.e. pharmacoepigenomics, pharmacomicrobiomics, pharmacotranscriptomics, pharmacoproteomics, pharmacometabolomics) to personalize treatment of psychiatric disorders.
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Affiliation(s)
- Chad A. Bousman
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- Department of Medical Genetics, University of Calgary, Calgary, AB, Canada
- Departments of Physiology and Pharmacology, and Community Health Sciences, University of Calgary, Calgary, AB, Canada
- AB Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | - Abdullah Al Maruf
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, AB, Canada
- College of Pharmacy, Rady Faculty of Health Sciences, Winnipeg, MB, Canada
| | | | | | - Daniel J. Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Wurzburg, Wurzburg, Germany
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44
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Waszczuk MA, Jonas KG, Bornovalova M, Breen G, Bulik CM, Docherty AR, Eley TC, Hettema JM, Kotov R, Krueger RF, Lencz T, Li JJ, Vassos E, Waldman ID. Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies. Mol Psychiatry 2023; 28:4943-4953. [PMID: 37402851 PMCID: PMC10764644 DOI: 10.1038/s41380-023-02142-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/16/2023] [Indexed: 07/06/2023]
Abstract
Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | | | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Cynthia M Bulik
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - John M Hettema
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
- Department of Psychiatry, Texas A&M Health Sciences Center, Bryan, TX, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | - Robert F Krueger
- Psychology Department, University of Minnesota, Minneapolis, MN, USA
| | - Todd Lencz
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
- Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, Madison, WI, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
- Center for Computational and Quantitative Genetics, Emory University, Atlanta, GA, USA
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45
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Musazzi L, Mingardi J, Ieraci A, Barbon A, Popoli M. Stress, microRNAs, and stress-related psychiatric disorders: an overview. Mol Psychiatry 2023; 28:4977-4994. [PMID: 37391530 DOI: 10.1038/s41380-023-02139-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 05/23/2023] [Accepted: 06/16/2023] [Indexed: 07/02/2023]
Abstract
Stress is a major risk factor for psychiatric disorders. During and after exposure to stressors, the stress response may have pro- or maladaptive consequences, depending on several factors related to the individual response and nature of the stressor. However, the mechanisms mediating the long-term effects of exposure to stress, which may ultimately lead to the development of stress-related disorders, are still largely unknown. Epigenetic mechanisms have been shown to mediate the effects of the environment on brain gene expression and behavior. MicroRNAs, small non-coding RNAs estimated to control the expression of about 60% of all genes by post-transcriptional regulation, are a fundamental epigenetic mechanism. Many microRNAs are expressed in the brain, where they work as fine-tuners of gene expression, with a key role in the regulation of homeostatic balance, and a likely influence on pro- or maladaptive brain changes. Here we have selected a number of microRNAs, which have been strongly implicated as mediators of the effects of stress in the brain and in the development of stress-related psychiatric disorders. For all of them recent evidence is reported, obtained from rodent stress models, manipulation of microRNAs levels with related behavioral changes, and clinical studies of stress-related psychiatric disorders. Moreover, we have performed a bioinformatic analysis of the predicted brain-expressed target genes of the microRNAs discussed, and found a central role for mechanisms involved in the regulation of synaptic function. The complex regulatory role of microRNAs has suggested their use as biomarkers for diagnosis and treatment response, as well as possible therapeutic drugs. While, microRNA-based diagnostics have registered advancements, particularly in oncology and other fields, and many biotech companies have launched miRNA therapeutics in their development pipeline, the development of microRNA-based tests and drugs for brain disorders is comparatively slower.
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Affiliation(s)
- Laura Musazzi
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Jessica Mingardi
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Alessandro Ieraci
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy
- Molecular Pharmacology, Cellular and Behavioral Physiology; Dipartimento di Scienze Farmaceutiche, Università Degli Studi di Milano, Milano, Italy
| | - Alessandro Barbon
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Maurizio Popoli
- Laboratory of Neuropsychopharmacology and Functional Neurogenomics, Dipartimento di Scienze Farmaceutiche, Università Degli Studi di Milano, Milano, Italy.
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46
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Wei W, Deng L, Qiao C, Yin Y, Zhang Y, Li X, Yu H, Jian L, Li M, Guo W, Wang Q, Deng W, Ma X, Zhao L, Sham PC, Palaniyappan L, Li T. Neural variability in three major psychiatric disorders. Mol Psychiatry 2023; 28:5217-5227. [PMID: 37443193 DOI: 10.1038/s41380-023-02164-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 06/16/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023]
Abstract
Across the major psychiatric disorders (MPDs), a shared disruption in brain physiology is suspected. Here we investigate the neural variability at rest, a well-established behavior-relevant marker of brain function, and probe its basis in gene expression and neurotransmitter receptor profiles across the MPDs. We recruited 219 healthy controls and 279 patients with schizophrenia, major depressive disorder, or bipolar disorders (manic or depressive state). The standard deviation of blood oxygenation level-dependent signal (SDBOLD) obtained from resting-state fMRI was used to characterize neural variability. Transdiagnostic disruptions in SDBOLD patterns and their relationships with clinical symptoms and cognitive functions were tested by partial least-squares correlation. Moving beyond the clinical sample, spatial correlations between the observed patterns of SDBOLD disruption and postmortem gene expressions, Neurosynth meta-analytic cognitive functions, and neurotransmitter receptor profiles were estimated. Two transdiagnostic patterns of disrupted SDBOLD were discovered. Pattern 1 is exhibited in all diagnostic groups and is most pronounced in schizophrenia, characterized by higher SDBOLD in the language/auditory networks but lower SDBOLD in the default mode/sensorimotor networks. In comparison, pattern 2 is only exhibited in unipolar and bipolar depression, characterized by higher SDBOLD in the default mode/salience networks but lower SDBOLD in the sensorimotor network. The expression of pattern 1 related to the severity of clinical symptoms and cognitive deficits across MPDs. The two disrupted patterns had distinct spatial correlations with gene expressions (e.g., neuronal projections/cellular processes), meta-analytic cognitive functions (e.g., language/memory), and neurotransmitter receptor expression profiles (e.g., D2/serotonin/opioid receptors). In conclusion, neural variability is a potential transdiagnostic biomarker of MPDs with a substantial amount of its spatial distribution explained by gene expressions and neurotransmitter receptor profiles. The pathophysiology of MPDs can be traced through the measures of neural variability at rest, with varying clinical-cognitive profiles arising from differential spatial patterns of aberrant variability.
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Affiliation(s)
- Wei Wei
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Lihong Deng
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Chunxia Qiao
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yubing Yin
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Xiaojing Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Hua Yu
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Lingqi Jian
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wanjun Guo
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Qiang Wang
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Centre for PanorOmic Sciences, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China.
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China.
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, 310058, China.
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47
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Hao M, Qin Y, Li Y, Tang Y, Ma Z, Tan J, Jin L, Wang F, Gong X. Metabolome subtyping reveals multi-omics characteristics and biological heterogeneity in major psychiatric disorders. Psychiatry Res 2023; 330:115605. [PMID: 38006718 DOI: 10.1016/j.psychres.2023.115605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 11/02/2023] [Accepted: 11/10/2023] [Indexed: 11/27/2023]
Abstract
Growing evidence suggests that major psychiatric disorders (MPDs) share common etiologies and pathological processes. However, the diagnosis is currently based on descriptive symptoms, which ignores the underlying pathogenesis and hinders the development of clinical treatments. This highlights the urgency of characterizing molecular biomarkers and establishing objective diagnoses of MPDs. Here, we collected untargeted metabolomics, proteomics and DNA methylation data of 327 patients with MPDs, 131 individuals with genetic high risk and 146 healthy controls to explore the multi-omics characteristics of MPDs. First, differential metabolites (DMs) were identified and we classified MPD patients into 3 subtypes based on DMs. The subtypes showed distinct metabolomics, proteomics and DNA methylation signatures. Specifically, one subtype showed dysregulation of complement and coagulation proteins, while the DNA methylation showed abnormalities in chemical synapses and autophagy. Integrative analysis in metabolic pathways identified the important roles of the citrate cycle, sphingolipid metabolism and amino acid metabolism. Finally, we constructed prediction models based on the metabolites and proteomics that successfully captured the risks of MPD patients. Our study established molecular subtypes of MPDs and elucidated their biological heterogeneity through a multi-omics investigation. These results facilitate the understanding of pathological mechanisms and promote the diagnosis and prevention of MPDs.
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Affiliation(s)
- Meng Hao
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Fudan Zhangjiang Institute, Obstetrics and Gynecology Hospital, Human Phenome Institute, Fudan University, China
| | - Yue Qin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Fudan Zhangjiang Institute, Obstetrics and Gynecology Hospital, Human Phenome Institute, Fudan University, China
| | - Yi Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Fudan Zhangjiang Institute, Obstetrics and Gynecology Hospital, Human Phenome Institute, Fudan University, China; International Human Phenome Institutes, Shanghai, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Zehan Ma
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jingze Tan
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Fudan Zhangjiang Institute, Obstetrics and Gynecology Hospital, Human Phenome Institute, Fudan University, China; International Human Phenome Institutes, Shanghai, China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China.
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
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48
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Kendler KS, Ohlsson H, Sundquist J, Sundquist K. Selecting cases of major psychiatric and substance use disorders in Swedish national registries on the basis of clinical features to maximize the strength or specificity of the genetic risk. Mol Psychiatry 2023; 28:5195-5205. [PMID: 37414926 PMCID: PMC10832579 DOI: 10.1038/s41380-023-02156-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 06/15/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
We investigate how selection of psychiatric cases by phenotypic criteria can alter the strength and specificity of their genetic risk by examining samples from national Swedish registries for five disorders: major depression (MD, N = 158,557), drug use disorder (DUD, N = 69,841), bipolar disorder (BD, N = 13,530)) ADHD (N = 54,996) and schizophrenia (N = 11,227)). We maximized the family genetic risk score (FGRS) for each disorder and then the specificity of the FGRS in six disorder pairs by univariable and multivariable regression. We use split-half methods to divide our cases for each disorder into deciles for prediction of genetic risk magnitude and quintiles for prediction of specificity by FGRS differences between two disorders. We utilized seven predictor groups: demography/sex, # registrations, site of diagnosis, severity, comorbidity, treatment, and educational/social variables. The ratio of the FGRS in the upper vs two lower deciles from our multivariable prediction model was, in order, DUD - 12.6, MD - 4.9, BD - 4.5, ADHD - 3.3 and schizophrenia 1.4. From the lowest to highest quintile, our measures of genetic specificity increased more than five-fold for i) MD vs. Anxiety Disorders, ii) MD vs BD, iii) MD versus alcohol use disorder (AUD), iv) BD vs schizophrenia and v) DUD vs AUD. This increase was nearly two-fold for ADHD vs DUD. We conclude that the level of genetic liability for our psychiatric disorders could be substantially enriched by selection of cases with our predictors. Specificity of genetic risk could also be substantially impacted by these same predictors.
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Affiliation(s)
- Kenneth S Kendler
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
| | - Henrik Ohlsson
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Departments of Family Medicine, Community Health and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Departments of Family Medicine, Community Health and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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49
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Garrison MA, Jang Y, Bae T, Cherskov A, Emery SB, Fasching L, Jones A, Moldovan JB, Molitor C, Pochareddy S, Peters MA, Shin JH, Wang Y, Yang X, Akbarian S, Chess A, Gage FH, Gleeson JG, Kidd JM, McConnell M, Mills RE, Moran JV, Park PJ, Sestan N, Urban AE, Vaccarino FM, Walsh CA, Weinberger DR, Wheelan SJ, Abyzov A. Genomic data resources of the Brain Somatic Mosaicism Network for neuropsychiatric diseases. Sci Data 2023; 10:813. [PMID: 37985666 PMCID: PMC10662356 DOI: 10.1038/s41597-023-02645-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/16/2023] [Indexed: 11/22/2023] Open
Abstract
Somatic mosaicism is defined as an occurrence of two or more populations of cells having genomic sequences differing at given loci in an individual who is derived from a single zygote. It is a characteristic of multicellular organisms that plays a crucial role in normal development and disease. To study the nature and extent of somatic mosaicism in autism spectrum disorder, bipolar disorder, focal cortical dysplasia, schizophrenia, and Tourette syndrome, a multi-institutional consortium called the Brain Somatic Mosaicism Network (BSMN) was formed through the National Institute of Mental Health (NIMH). In addition to genomic data of affected and neurotypical brains, the BSMN also developed and validated a best practices somatic single nucleotide variant calling workflow through the analysis of reference brain tissue. These resources, which include >400 terabytes of data from 1087 subjects, are now available to the research community via the NIMH Data Archive (NDA) and are described here.
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Affiliation(s)
- McKinzie A Garrison
- Program in Biochemistry, Molecular and Cellular Biology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Yeongjun Jang
- Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Taejeong Bae
- Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Adriana Cherskov
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Sarah B Emery
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Liana Fasching
- Child Study Center, Yale University, New Haven, CT, 06520, USA
| | - Attila Jones
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - John B Moldovan
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Cindy Molitor
- Sage Bionetworks, 2901 Third Ave., Suite 330, Seattle, WA, 98121, USA
| | - Sirisha Pochareddy
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Mette A Peters
- Sage Bionetworks, 2901 Third Ave., Suite 330, Seattle, WA, 98121, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Yifan Wang
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Xiaoxu Yang
- Rady Children's Institute for Genomic Medicine, 7910 Frost St., Suite #300, San Diego, CA, 92123, USA
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Schahram Akbarian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technologies, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Chess
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technologies, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fred H Gage
- Laboratory of Genetics LOG-G, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Joseph G Gleeson
- Rady Children's Institute for Genomic Medicine, 7910 Frost St., Suite #300, San Diego, CA, 92123, USA
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA
| | | | - Ryan E Mills
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA
| | - John V Moran
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, California, 94305, USA
| | - Flora M Vaccarino
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06520, USA
- Child Study Center, Yale University, New Haven, CT, 06520, USA
| | - Christopher A Walsh
- Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- McKusick Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sarah J Wheelan
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- National Human Genome Research Institute, National Institutes of Health, 6700B Rockledge Dr, Bethesda, MD, 20892, USA
| | - Alexej Abyzov
- Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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50
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Du Z, Guo S, Sun Y, Zhou Q, Jiang Y, Shen Y, Zhu H, Zhou Z, Zhou H. Causal relationships between dietary habits and five major mental disorders: A two-sample Mendelian randomization study. J Affect Disord 2023; 340:607-615. [PMID: 37598719 DOI: 10.1016/j.jad.2023.08.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/22/2023]
Abstract
OBJECTIVE To explore the causal relationship between dietary habits and five major mental disorders using the two-sample Mendelian randomization (MR) analysis. METHODS This study was based on the summary data of the genome-wide association study (GWAS) on diet and five major mental disorders in the European population. The genetic locus data of five major mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia) from those who never eat eggs, dairy, wheat, and sugar were used. Two-sample MR analysis was conducted to evaluate the causal relationship between diet and five major mental disorders. RESULTS This study revealed a causal relationship between "Never eat Wheat products" and all five types of mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia), demonstrating a significant negative correlation (P < 0.05). However, no significant causal relationship was observed between "Never eat Sugar or foods/drinks containing sugar" and any of the five mental disorders (P > 0.05). Furthermore, the study found that the statement "Never eat eggs, dairy, wheat, sugar: I eat all of the above" had a causal relationship with mania, bipolar disorder, and manic depression, showing a significant positive correlation (P < 0.05). However, this statement did not exhibit a significant causal relationship with depression and schizophrenia (P > 0.05). CONCLUSION There was a negative correlation between never eating wheat products and the five mental disorders (mania, bipolar disorder, manic depression, depression, schizophrenia), indicating that never eating wheat products may reduce the risk of mental disorders.
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Affiliation(s)
- Zhiqiang Du
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Shuaiyi Guo
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Yifan Sun
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Qin Zhou
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Ying Jiang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Yuan Shen
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Haohao Zhu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China.
| | - Zhenhe Zhou
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China.
| | - Hongliang Zhou
- Department of Psychology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
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