1
|
Sullivan PF, Yao S, Hjerling-Leffler J. Schizophrenia genomics: genetic complexity and functional insights. Nat Rev Neurosci 2024:10.1038/s41583-024-00837-7. [PMID: 39030273 DOI: 10.1038/s41583-024-00837-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2024] [Indexed: 07/21/2024]
Abstract
Determining the causes of schizophrenia has been a notoriously intractable problem, resistant to a multitude of investigative approaches over centuries. In recent decades, genomic studies have delivered hundreds of robust findings that implicate nearly 300 common genetic variants (via genome-wide association studies) and more than 20 rare variants (via whole-exome sequencing and copy number variant studies) as risk factors for schizophrenia. In parallel, functional genomic and neurobiological studies have provided exceptionally detailed information about the cellular composition of the brain and its interconnections in neurotypical individuals and, increasingly, in those with schizophrenia. Taken together, these results suggest unexpected complexity in the mechanisms that drive schizophrenia, pointing to the involvement of ensembles of genes (polygenicity) rather than single-gene causation. In this Review, we describe what we now know about the genetics of schizophrenia and consider the neurobiological implications of this information.
Collapse
Affiliation(s)
- Patrick F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Shuyang Yao
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jens Hjerling-Leffler
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
2
|
Di Mento B, John JR, Diaz AM, Lin PI, Masi A, Grove R, Eapen V. Sex Differences in the Broad Autism Phenotype: Insights from the Australian Biobank. J Autism Dev Disord 2024:10.1007/s10803-024-06466-4. [PMID: 39023802 DOI: 10.1007/s10803-024-06466-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2024] [Indexed: 07/20/2024]
Abstract
Examining sub-threshold autistic traits in non-autistic first-degree relatives of individuals on the autism spectrum, known as the Broad Autism Phenotype (BAP), could provide new insights into the associations and familial aggregation of autistic traits. This study was a retrospective cross-sectional study of parents (n = 1008), probands with autism (n = 613), and unaffected siblings (n = 221) of probands with autism. BAP traits were examined by the BAP Questionnaire and Communication Checklist-Adult in parents, Autism Developmental Observation Scale-Second edition in probands, and Social Responsiveness Scale in siblings. Multivariable linear regression analyses were used to investigate the associations of parental BAP traits on autistic traits in probands and unaffected sibling BAP traits. Fathers showed significantly increased aloofness, pragmatic language difficulties, and social engagement problems compared to mothers. Female siblings showed increased difficulties with social cognition compared to male siblings. Adjusted models of the regression analyses showed that all BAP traits in fathers were significantly associated with BAP trait expression in probands with autism. Additionally, all of mother's BAP traits were significantly associated with unaffected siblings' BAP trait expression while only fathers' aloofness and rigidity traits were inversely associated with siblings' BAP trait expression. Finally, there were significant inverse interactions noted between parent's BAP traits and their children's BAP trait expression. This study demonstrated differences in how males and females express BAP traits and also identified differences in parent-child associations by sex, with fathers having a greater effect on their proband children's expression of BAP traits than mothers.
Collapse
Affiliation(s)
- Blaise Di Mento
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia
| | - James Rufus John
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia
| | - Antonio Mendoza Diaz
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia
- Tasmanian Centre for Mental Health Service Innovation, Hobart, TAS, Australia
| | - Ping-I Lin
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia
| | - Anne Masi
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia
- Autism CRC, Long Pocket, Brisbane, QLD, Australia
| | - Rachel Grove
- School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia
| | - Valsamma Eapen
- Discipline of Psychiatry and Mental health, Faculty of Medicine, UNSW Sydney, Randwick, NSW, Australia.
- Autism CRC, Long Pocket, Brisbane, QLD, Australia.
- Academic Unit of Infant Child and Adolescent Psychiatry Services (AUCS), South Western Sydney Local Health District, ICAMHS, L1 MHC, Liverpool Hospital, Elizabeth Street, Liverpool, 2170, NSW, Australia.
| |
Collapse
|
3
|
Rogers JF, Vandendoren M, Prather JF, Landen JG, Bedford NL, Nelson AC. Neural cell-types and circuits linking thermoregulation and social behavior. Neurosci Biobehav Rev 2024; 161:105667. [PMID: 38599356 PMCID: PMC11163828 DOI: 10.1016/j.neubiorev.2024.105667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/05/2024] [Accepted: 04/07/2024] [Indexed: 04/12/2024]
Abstract
Understanding how social and affective behavioral states are controlled by neural circuits is a fundamental challenge in neurobiology. Despite increasing understanding of central circuits governing prosocial and agonistic interactions, how bodily autonomic processes regulate these behaviors is less resolved. Thermoregulation is vital for maintaining homeostasis, but also associated with cognitive, physical, affective, and behavioral states. Here, we posit that adjusting body temperature may be integral to the appropriate expression of social behavior and argue that understanding neural links between behavior and thermoregulation is timely. First, changes in behavioral states-including social interaction-often accompany changes in body temperature. Second, recent work has uncovered neural populations controlling both thermoregulatory and social behavioral pathways. We identify additional neural populations that, in separate studies, control social behavior and thermoregulation, and highlight their relevance to human and animal studies. Third, dysregulation of body temperature is linked to human neuropsychiatric disorders. Although body temperature is a "hidden state" in many neurobiological studies, it likely plays an underappreciated role in regulating social and affective states.
Collapse
Affiliation(s)
- Joseph F Rogers
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA; University of Wyoming Sensory Biology Center, USA
| | - Morgane Vandendoren
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA; University of Wyoming Sensory Biology Center, USA
| | - Jonathan F Prather
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA
| | - Jason G Landen
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA; University of Wyoming Sensory Biology Center, USA
| | - Nicole L Bedford
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA
| | - Adam C Nelson
- Department of Zoology & Physiology, University of Wyoming, Laramie, WY, USA; University of Wyoming Sensory Biology Center, USA.
| |
Collapse
|
4
|
Kumar K, Modenato C, Moreau C, Ching CRK, Harvey A, Martin-Brevet S, Huguet G, Jean-Louis M, Douard E, Martin CO, Younis N, Tamer P, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S, Kushan L, Isaev D, Alpert K, Ragothaman A, Turner JA, Wang L, Ho TC, Schmaal L, Silva AI, van den Bree MB, Linden DE, Owen MJ, Hall J, Lippé S, Dumas G, Draganski B, Gutman BA, Sønderby IE, Andreassen OA, Schultz L, Almasy L, Glahn DC, Bearden CE, Thompson PM, Jacquemont S. Subcortical Brain Alterations in Carriers of Genomic Copy Number Variants. Am J Psychiatry 2023; 180:685-698. [PMID: 37434504 PMCID: PMC10885337 DOI: 10.1176/appi.ajp.20220304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
OBJECTIVE Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. METHODS Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. RESULTS All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. CONCLUSIONS The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
Collapse
Affiliation(s)
- Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Claudia Modenato
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Clara Moreau
- Institut Pasteur, Université de Paris, CNRS UMR 3571, Human Genetics and Cognitive Functions, 25 rue du Dr. Roux, Paris, France
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Annabelle Harvey
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Sandra Martin-Brevet
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | | | - Elise Douard
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | | | - Nadine Younis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Petra Tamer
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Anne M. Maillard
- Service des Troubles du Spectre de l’Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service des Troubles du Spectre de l’Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Aurélie Pain
- Service des Troubles du Spectre de l’Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l’Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | | | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Dmitry Isaev
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Anjani Ragothaman
- Department of biomedical engineering, Oregon Health and Science university, Portland, Oregon, USA
| | - Jessica A. Turner
- Psychology & Neuroscience, Georgia State University, Atlanta, Georgia, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Tiffany C. Ho
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA USA
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Ana I. Silva
- School for Mental Health and Neuroscience, Maastricht University, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Marianne B.M. van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - David E.J. Linden
- School for Mental Health and Neuroscience, Maastricht University, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Michael J. Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Sarah Lippé
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Guillaume Dumas
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Bogdan Draganski
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Boris A. Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
| | - Ida E. Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Laura Schultz
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, PA, USA
- Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, PA, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, PA, USA
- Lifespan Brain Institute of Children’s Hospital of Philadelphia and Penn Medicine, PA, USA
- Department of Genetics, University of Pennsylvania, PA, USA
| | - David C. Glahn
- Harvard Medical School, Department of Psychiatry, 25 Shattuck St, Boston, MA 02115, USA
- Boston Children’s Hospital, Tommy Fuss Center for Neuropsychiatric Disease Research, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | | |
Collapse
|
5
|
Mudassir BU, Alotaibi MA, Kizilbash N, Alruwaili D, Alruwaili A, Alenezi M, Agha Z. Genome-wide CNV analysis uncovers novel pathogenic regions in cohort of five multiplex families with neurodevelopmental disorders. Heliyon 2023; 9:e19718. [PMID: 37810058 PMCID: PMC10558996 DOI: 10.1016/j.heliyon.2023.e19718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 08/26/2023] [Accepted: 08/30/2023] [Indexed: 10/10/2023] Open
Abstract
Structural reorganization of chromosomes by genomic duplications and/or deletions are known as copy number variations (CNVs). Pathogenic and disease susceptible CNVs alter gene dosage and its phenotypic expression that often leads to human genetic diseases including Neurological disorders. CNVs affecting same common genes in multiple neurodevelopmental disorders can better explain the shared clinical and genetic aetiology across brain diseases. Our study presents the novel copy number variations in a cohort of five multiplex consanguineous families with intellectual disability, microcephaly, ASD, epilepsy, and neurological syndromic features. Cytoscan HD microarray suite has revealed genome wide deletions, duplications and LOH regions which are co-segregating in the family members for the rare neurodevelopmental syndromic phenotypes. This study identifies 1q21.1 microduplication, 16p11.2 microduplication, Xp11.22 microduplication, 4p12 microdeletion and Xq21.1 microdeletion that significantly contribute to primary disease onset and its progression for the first time in Pakistani families. Our study has potential impact on the understanding of pathogenic genetic predisposition for appearance of complex and heterogeneous neurodevelopmental disorders with otherwise unexplained syndromic features. Identification of altered gene dosage across the genome is helpful in improved diagnosis, better disease management in day-to-day life activities of patients with cognitive impairment and genetic counselling of families where consanguinity is a tradition. Our study will contribute to expand the knowledge of genotype-phenotype expression and future gateways in therapeutics and precision medicine research will be open in Pakistan.
Collapse
Affiliation(s)
- Behjat Ul Mudassir
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | | | - Nadeem Kizilbash
- Department of Medical Laboratory Technology, Northern Border University, Arar, Saudi Arabia
| | - Daliyah Alruwaili
- Department of Medical Laboratory Technology, Northern Border University, Arar, Saudi Arabia
| | - Anwar Alruwaili
- Department of Medical Laboratory Technology, Northern Border University, Arar, Saudi Arabia
| | - Modhi Alenezi
- Department of Medical Laboratory Technology, Northern Border University, Arar, Saudi Arabia
| | - Zehra Agha
- Translational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| |
Collapse
|
6
|
Kopal J, Kumar K, Saltoun K, Modenato C, Moreau CA, Martin-Brevet S, Huguet G, Jean-Louis M, Martin CO, Saci Z, Younis N, Tamer P, Douard E, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Draganski B, Sønderby IE, Andreassen OA, Glahn DC, Thompson PM, Bearden CE, Jacquemont S, Bzdok D. Rare CNVs and phenome-wide profiling highlight brain structural divergence and phenotypical convergence. Nat Hum Behav 2023; 7:1001-1017. [PMID: 36864136 PMCID: PMC7615290 DOI: 10.1038/s41562-023-01541-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 01/30/2023] [Indexed: 03/04/2023]
Abstract
Copy number variations (CNVs) are rare genomic deletions and duplications that can affect brain and behaviour. Previous reports of CNV pleiotropy imply that they converge on shared mechanisms at some level of pathway cascades, from genes to large-scale neural circuits to the phenome. However, existing studies have primarily examined single CNV loci in small clinical cohorts. It remains unknown, for example, how distinct CNVs escalate vulnerability for the same developmental and psychiatric disorders. Here we quantitatively dissect the associations between brain organization and behavioural differentiation across 8 key CNVs. In 534 CNV carriers, we explored CNV-specific brain morphology patterns. CNVs were characteristic of disparate morphological changes involving multiple large-scale networks. We extensively annotated these CNV-associated patterns with ~1,000 lifestyle indicators through the UK Biobank resource. The resulting phenotypic profiles largely overlap and have body-wide implications, including the cardiovascular, endocrine, skeletal and nervous systems. Our population-level investigation established brain structural divergences and phenotypical convergences of CNVs, with direct relevance to major brain disorders.
Collapse
Affiliation(s)
- Jakub Kopal
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Mila - Quebec Artificial Intelligence Institute, Montréal, Quebec, Canada
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Karin Saltoun
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Mila - Quebec Artificial Intelligence Institute, Montréal, Quebec, Canada
| | - Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Clara A Moreau
- Human Genetics and Cognitive Functions, CNRS UMR 3571: Genes, Synapses and Cognition, Institut Pasteur, Paris, France
| | - Sandra Martin-Brevet
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Martineau Jean-Louis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Charles-Olivier Martin
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Zohra Saci
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Nadine Younis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Petra Tamer
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aurèlie Pain
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, CA, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, CA, USA
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Quebec, Canada
| | - Danilo Bzdok
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
- Mila - Quebec Artificial Intelligence Institute, Montréal, Quebec, Canada.
- TheNeuro - Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
| |
Collapse
|
7
|
Kumar K, Modenato C, Moreau C, Ching CRK, Harvey A, Martin-Brevet S, Huguet G, Jean-Louis M, Douard E, Martin CO, Younis N, Tamer P, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S, Kushan L, Isaev D, Alpert K, Ragothaman A, Turner JA, Wang L, Ho TC, Schmaal L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Dumas G, Draganski B, Gutman BA, Sønderby IE, Andreassen OA, Schultz L, Almasy L, Glahn DC, Bearden CE, Thompson PM, Jacquemont S. Subcortical brain alterations in carriers of genomic copy number variants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.14.23285913. [PMID: 36865328 PMCID: PMC9980268 DOI: 10.1101/2023.02.14.23285913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Objectives Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs) including autism (ASD) and schizophrenia (SZ). Overall, little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, we investigated gross volume, and vertex level thickness and surface maps of subcortical structures in 11 different CNVs and 6 different NPDs. Methods Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (at the following loci: 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2) and 782 controls (Male/Female: 727/730; age-range: 6-80 years) as well as ENIGMA summary-statistics for ASD, SZ, ADHD, Obsessive-Compulsive-Disorder, Bipolar-Disorder, and Major-Depression. Results Nine of the 11 CNVs affected volume of at least one subcortical structure. The hippocampus and amygdala were affected by five CNVs. Effect sizes of CNVs on subcortical volume, thickness and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and SZ. Shape analyses were able to identify subregional alterations that were averaged out in volume analyses. We identified a common latent dimension - characterized by opposing effects on basal ganglia and limbic structures - across CNVs and across NPDs. Conclusion Our findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions. We also observed distinct effects with some CNVs clustering with adult conditions while others clustered with ASD. This large cross-CNV and NPDs analysis provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD, as well as why a single CNV increases the risk for a diverse set of NPDs.
Collapse
Affiliation(s)
- Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Claudia Modenato
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Clara Moreau
- Institut Pasteur, Université de Paris, CNRS UMR 3571, Human Genetics and Cognitive Functions, 25 rue du Dr. Roux, Paris, France
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | - Annabelle Harvey
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Sandra Martin-Brevet
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | | | - Elise Douard
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | | | - Nadine Younis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Petra Tamer
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Aurélie Pain
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Dmitry Isaev
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Anjani Ragothaman
- Department of biomedical engineering, Oregon Health and Science university, Portland, Oregon, USA
| | - Jessica A Turner
- Psychology & Neuroscience, Georgia State University, Atlanta, Georgia, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Tiffany C Ho
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA USA
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Guillaume Dumas
- Centre de recherche CHU Sainte-Justine and University of Montréal, Canada
| | - Bogdan Draganski
- LREN - Department of clinical neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Laura Schultz
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, PA, USA
- Lifespan Brain Institute of Children's Hospital of Philadelphia and Penn Medicine, PA, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, PA, USA
- Lifespan Brain Institute of Children's Hospital of Philadelphia and Penn Medicine, PA, USA
- Department of Genetics, University of Pennsylvania, PA, USA
| | - David C Glahn
- Harvard Medical School, Department of Psychiatry, 25 Shattuck St, Boston, MA 02115, USA
- Boston Children's Hospital, Tommy Fuss Center for Neuropsychiatric Disease Research, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA
| | | |
Collapse
|
8
|
Aglinskas A, Schwartz E, Anzellotti S. Disentangling disorder-specific variation is key for precision psychiatry in autism. Front Behav Neurosci 2023; 17:1121017. [PMID: 37025108 PMCID: PMC10070721 DOI: 10.3389/fnbeh.2023.1121017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 03/03/2023] [Indexed: 04/08/2023] Open
|
9
|
Mai L, Inada H, Kimura R, Kanno K, Matsuda T, Tachibana RO, Tucci V, Komaki F, Hiroi N, Osumi N. Advanced paternal age diversifies individual trajectories of vocalization patterns in neonatal mice. iScience 2022; 25:104834. [PMID: 36039363 PMCID: PMC9418688 DOI: 10.1016/j.isci.2022.104834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/27/2022] [Accepted: 07/20/2022] [Indexed: 10/25/2022] Open
Abstract
Infant crying is a communicative behavior impaired in neurodevelopmental disorders (NDDs). Because advanced paternal age is a risk factor for NDDs, we performed computational approaches to evaluate how paternal age affected vocal communication and body weight development in C57BL/6 mouse offspring from young and aged fathers. Analyses of ultrasonic vocalization (USV) consisting of syllables showed that advanced paternal age reduced the number and duration of syllables, altered the syllable composition, and caused lower body weight gain in pups. Pups born to young fathers had convergent vocal characteristics with a rich repertoire, whereas those born to aged fathers exhibited more divergent vocal patterns with limited repertoire. Additional analyses revealed that some pups from aged fathers displayed atypical USV trajectories. Thus, our study indicates that advanced paternal age has a significant effect on offspring's vocal development. Our computational analyses are effective in characterizing altered individual diversity.
Collapse
Affiliation(s)
- Lingling Mai
- Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Hitoshi Inada
- Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan.,Laboratory of Health and Sports Sciences, Division of Biomedical Engineering for Health and Welfare, Tohoku University Graduate School of Biomedical Engineering, Sendai 980-8575, Japan
| | - Ryuichi Kimura
- Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan.,Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan
| | - Kouta Kanno
- Faculty of Law, Economics and Humanities, Kagoshima University, Kagoshima 890-0065, Japan
| | - Takeru Matsuda
- Statistical Mathematics Unit, RIKEN Center for Brain Science, Wako 351-0198, Japan
| | - Ryosuke O Tachibana
- Department of Life Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Valter Tucci
- Genetics and Epigenetics of Behavior (GEB) Laboratory, Istituto Italiano di Tecnologia, Genova 16163, Italy
| | - Fumiyasu Komaki
- Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8656, Japan.,Mathematical Informatics Collaboration Unit, RIKEN Center for Brain Science, Wako 351-0198, Japan
| | - Noboru Hiroi
- Department of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio 78229, USA.,Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, San Antonio 78229, USA.,Department of Cell Systems and Anatomy, University of Texas Health Science Center at San Antonio, San Antonio 78229, USA
| | - Noriko Osumi
- Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| |
Collapse
|
10
|
From Genes to Therapy in Autism Spectrum Disorder. Genes (Basel) 2022; 13:genes13081377. [PMID: 36011288 PMCID: PMC9407279 DOI: 10.3390/genes13081377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/19/2022] [Indexed: 02/04/2023] Open
Abstract
In recent years, findings from genetic and other biological studies are starting to reveal the role of various molecular mechanisms that contribute to the etiology of ASD [...]
Collapse
|
11
|
Aglinskas A, Hartshorne JK, Anzellotti S. Contrastive machine learning reveals the structure of neuroanatomical variation within autism. Science 2022; 376:1070-1074. [PMID: 35653486 DOI: 10.1126/science.abm2461] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Autism spectrum disorder (ASD) is highly heterogeneous. Identifying systematic individual differences in neuroanatomy could inform diagnosis and personalized interventions. The challenge is that these differences are entangled with variation because of other causes: individual differences unrelated to ASD and measurement artifacts. We used contrastive deep learning to disentangle ASD-specific neuroanatomical variation from variation shared with typical control participants. ASD-specific variation correlated with individual differences in symptoms. The structure of this ASD-specific variation also addresses a long-standing debate about the nature of ASD: At least in terms of neuroanatomy, individuals do not cluster into distinct subtypes; instead, they are organized along continuous dimensions that affect distinct sets of regions.
Collapse
Affiliation(s)
- Aidas Aglinskas
- Department of Psychology and Neuroscience, Boston College, Boston, MA 02467, USA
| | - Joshua K Hartshorne
- Department of Psychology and Neuroscience, Boston College, Boston, MA 02467, USA
| | - Stefano Anzellotti
- Department of Psychology and Neuroscience, Boston College, Boston, MA 02467, USA
| |
Collapse
|
12
|
Shared Etiology in Autism Spectrum Disorder and Epilepsy with Functional Disability. Behav Neurol 2022; 2022:5893519. [PMID: 35530166 PMCID: PMC9068331 DOI: 10.1155/2022/5893519] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/25/2022] [Accepted: 04/01/2022] [Indexed: 11/20/2022] Open
Abstract
Autism spectrum disorders and epilepsies are heterogeneous human disorders that have miscellaneous etiologies and pathophysiology. There is considerable risk of frequent epilepsy in autism that facilitates amplified morbidity and mortality. Several biological pathways appear to be involved in disease progression, including gene transcription regulation, cellular growth, synaptic channel function, and maintenance of synaptic structure. Here, abnormalities in excitatory/inhibitory (E/I) balance ratio are reviewed along with part of an epileptiform activity that may drive both overconnectivity and genetic disorders where autism spectrum disorders and epilepsy frequently co-occur. The most current ideas concerning common etiological and molecular mechanisms for co-occurrence of both autism spectrum disorders and epilepsy are discussed along with the powerful pharmacological therapies that protect the cognition and behavior of patients. Better understanding is necessary to identify a biological mechanism that might lead to possible treatments for these neurological disorders.
Collapse
|
13
|
Machine Learning algorithm unveils glutamatergic alterations in the post-mortem schizophrenia brain. NPJ SCHIZOPHRENIA 2022; 8:8. [PMID: 35217646 PMCID: PMC8881508 DOI: 10.1038/s41537-022-00231-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/06/2021] [Indexed: 01/24/2023]
Abstract
Schizophrenia is a disorder of synaptic plasticity and aberrant connectivity in which a major dysfunction in glutamate synapse has been suggested. However, a multi-level approach tackling diverse clusters of interacting molecules of the glutamate signaling in schizophrenia is still lacking. We investigated in the post-mortem dorsolateral prefrontal cortex (DLPFC) and hippocampus of schizophrenia patients and non-psychiatric controls, the levels of neuroactive d- and l-amino acids (l-glutamate, d-serine, glycine, l-aspartate, d-aspartate) by HPLC. Moreover, by quantitative RT-PCR and western blotting we analyzed, respectively, the mRNA and protein levels of pre- and post-synaptic key molecules involved in the glutamatergic synapse functioning, including glutamate receptors (NMDA, AMPA, metabotropic), their interacting scaffolding proteins (PSD-95, Homer1b/c), plasma membrane and vesicular glutamate transporters (EAAT1, EAAT2, VGluT1, VGluT2), enzymes involved either in glutamate-dependent GABA neurotransmitter synthesis (GAD65 and 67), or in post-synaptic NMDA receptor-mediated signaling (CAMKIIα) and the pre-synaptic marker Synapsin-1. Univariable analyses revealed that none of the investigated molecules was differently represented in the post-mortem DLPFC and hippocampus of schizophrenia patients, compared with controls. Nonetheless, multivariable hypothesis-driven analyses revealed that the presence of schizophrenia was significantly affected by variations in neuroactive amino acid levels and glutamate-related synaptic elements. Furthermore, a Machine Learning hypothesis-free unveiled other discriminative clusters of molecules, one in the DLPFC and another in the hippocampus. Overall, while confirming a key role of glutamatergic synapse in the molecular pathophysiology of schizophrenia, we reported molecular signatures encompassing elements of the glutamate synapse able to discriminate patients with schizophrenia and normal individuals.
Collapse
|