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Olar A, Tyler T, Hoppa P, Frank E, Csabai I, Adorjan I, Pollner P. Annotated dataset for training deep learning models to detect astrocytes in human brain tissue. Sci Data 2024; 11:96. [PMID: 38242926 PMCID: PMC10798998 DOI: 10.1038/s41597-024-02908-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 12/29/2023] [Indexed: 01/21/2024] Open
Abstract
Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morphology and density linked to neurological disorders. Traditional methods for their accurate detection and density measurement are laborious and unsuited for large-scale operations. We introduce a dataset from human brain tissues stained with aldehyde dehydrogenase 1 family member L1 (ALDH1L1) and glial fibrillary acidic protein (GFAP). The digital whole slide images of these tissues were partitioned into 8730 patches of 500 × 500 pixels, comprising 2323 ALDH1L1 and 4714 GFAP patches at a pixel size of 0.5019/pixel, furthermore 1382 ADHD1L1 and 311 GFAP patches at 0.3557/pixel. Sourced from 16 slides and 8 patients our dataset promotes the development of tools for glial cell detection and quantification, offering insights into their density distribution in various brain areas, thereby broadening neuropathological study horizons. These samples hold value for automating detection methods, including deep learning. Derived from human samples, our dataset provides a platform for exploring astrocyte functionality, potentially guiding new diagnostic and treatment strategies for neurological disorders.
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Affiliation(s)
- Alex Olar
- Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary
- Eötvös Loránd University, Doctoral School of Informatics, Budapest, Hungary
| | - Teadora Tyler
- Semmelweis University, Department of Anatomy, Histology and Embryology, Budapest, Hungary
| | - Paulina Hoppa
- Semmelweis University, Department of Anatomy, Histology and Embryology, Budapest, Hungary
| | - Erzsébet Frank
- Semmelweis University, Department of Anatomy, Histology and Embryology, Budapest, Hungary
| | - István Csabai
- Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary
| | - Istvan Adorjan
- Semmelweis University, Department of Anatomy, Histology and Embryology, Budapest, Hungary.
| | - Péter Pollner
- Semmelweis University, Data-Driven Health Division of National Laboratory for Health Security, Health Services Management Training Centre, Budapest, Hungary.
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Al-Beltagi M. Pre-autism: What a paediatrician should know about early diagnosis of autism. World J Clin Pediatr 2023; 12:273-294. [PMID: 38178935 PMCID: PMC10762597 DOI: 10.5409/wjcp.v12.i5.273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/07/2023] [Accepted: 09/25/2023] [Indexed: 12/08/2023] Open
Abstract
Autism, also known as an autism spectrum disorder, is a complex neurodevelopmental disorder usually diagnosed in the first three years of a child's life. A range of symptoms characterizes it and can be diagnosed at any age, including adolescence and adulthood. However, early diagnosis is crucial for effective management, prognosis, and care. Unfortunately, there are no established fetal, prenatal, or newborn screening programs for autism, making early detection difficult. This review aims to shed light on the early detection of autism prenatally, natally, and early in life, during a stage we call as "pre-autism" when typical symptoms are not yet apparent. Some fetal, neonatal, and infant biomarkers may predict an increased risk of autism in the coming baby. By developing a biomarker array, we can create an objective diagnostic tool to diagnose and rank the severity of autism for each patient. These biomarkers could be genetic, immunological, hormonal, metabolic, amino acids, acute phase reactants, neonatal brainstem function biophysical activity, behavioral profile, body measurements, or radiological markers. However, every biomarker has its accuracy and limitations. Several factors can make early detection of autism a real challenge. To improve early detection, we need to overcome various challenges, such as raising community awareness of early signs of autism, improving access to diagnostic tools, reducing the stigma attached to the diagnosis of autism, and addressing various culturally sensitive concepts related to the disorder.
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Affiliation(s)
- Mohammed Al-Beltagi
- Department of Pediatric, Faculty of Medicine, Tanta University, Tanta 31511, Algahrbia, Egypt
- Department of Pediatric, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Dr. Sulaiman Al Habib Medical Group, Manama 26671, Manama, Bahrain
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Blažetić S, Krajina V, Labak I, Viljetić B, Pavić V, Ivić V, Balog M, Schnaar RL, Heffer M. Sialyltransferase Mutations Alter the Expression of Calcium-Binding Interneurons in Mice Neocortex, Hippocampus and Striatum. Int J Mol Sci 2023; 24:17218. [PMID: 38139047 PMCID: PMC10743413 DOI: 10.3390/ijms242417218] [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: 11/02/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Gangliosides are major glycans on vertebrate nerve cells, and their metabolic disruption results in congenital disorders with marked cognitive and motor deficits. The sialyltransferase gene St3gal2 is responsible for terminal sialylation of two prominent brain gangliosides in mammals, GD1a and GT1b. In this study, we analyzed the expression of calcium-binding interneurons in primary sensory (somatic, visual, and auditory) and motor areas of the neocortex, hippocampus, and striatum of St3gal2-null mice as well as St3gal3-null and St3gal2/3-double null. Immunohistochemistry with highly specific primary antibodies for GABA, parvalbumin, calretinin, and calbindin were used for interneuron detection. St3gal2-null mice had decreased expression of all three analyzed types of calcium-binding interneurons in all analyzed regions of the neocortex. These results implicate gangliosides GD1a and GT1b in the process of interneuron migration and maturation.
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Affiliation(s)
- Senka Blažetić
- Department of Biology, Josip Juraj Strossmayer University of Osijek, Ulica cara Hadrijana 8A, 31000 Osijek, Croatia; (S.B.); (V.P.)
| | - Vinko Krajina
- Department of Medical Biology, School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (V.K.); (V.I.); (M.B.); (M.H.)
| | - Irena Labak
- Department of Biology, Josip Juraj Strossmayer University of Osijek, Ulica cara Hadrijana 8A, 31000 Osijek, Croatia; (S.B.); (V.P.)
| | - Barbara Viljetić
- Department of Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia;
| | - Valentina Pavić
- Department of Biology, Josip Juraj Strossmayer University of Osijek, Ulica cara Hadrijana 8A, 31000 Osijek, Croatia; (S.B.); (V.P.)
| | - Vedrana Ivić
- Department of Medical Biology, School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (V.K.); (V.I.); (M.B.); (M.H.)
| | - Marta Balog
- Department of Medical Biology, School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (V.K.); (V.I.); (M.B.); (M.H.)
| | - Ronald L. Schnaar
- Department of Pharmacology and Neuroscience, The Johns Hopkins School of Medicine, Baltimore, MD 21205, USA;
| | - Marija Heffer
- Department of Medical Biology, School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (V.K.); (V.I.); (M.B.); (M.H.)
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Téllez de Meneses PG, Pérez-Revuelta L, Canal-Alonso Á, Hernández-Pérez C, Cocho T, Valero J, Weruaga E, Díaz D, Alonso JR. Immunohistochemical distribution of secretagogin in the mouse brain. Front Neuroanat 2023; 17:1224342. [PMID: 37711587 PMCID: PMC10498459 DOI: 10.3389/fnana.2023.1224342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/09/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction Calcium is essential for the correct functioning of the central nervous system, and calcium-binding proteins help to finely regulate its concentration. Whereas some calcium-binding proteins such as calmodulin are ubiquitous and are present in many cell types, others such as calbindin, calretinin, and parvalbumin are expressed in specific neuronal populations. Secretagogin belongs to this latter group and its distribution throughout the brain is only partially known. In the present work, the distribution of secretagogin-immunopositive cells was studied in the entire brain of healthy adult mice. Methods Adult male C57BL/DBA mice aged between 5 and 7 months were used. Their whole brain was sectioned and used for immunohistochemistry. Specific neural populations were observed in different zones and nuclei identified according to Paxinos mouse brain atlas. Results Labelled cells were found with a Golgi-like staining, allowing an excellent characterization of their dendritic and axonal arborizations. Many secretagogin-positive cells were observed along different encephalic regions, especially in the olfactory bulb, basal ganglia, and hypothalamus. Immunostained populations were very heterogenous in both size and distribution, as some nuclei presented labelling in their entire extension, but in others, only scattered cells were present. Discussion Secretagogin can provide a more complete vision of calcium-buffering mechanisms in the brain, and can be a useful neuronal marker in different brain areas for specific populations.
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Affiliation(s)
- Pablo G. Téllez de Meneses
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Laura Pérez-Revuelta
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Ángel Canal-Alonso
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Bioinformatics, Intelligent Systems and Educational Technology (BISITE) Research Group, Universidad de Salamanca, Salamanca, Spain
| | - Carlos Hernández-Pérez
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Teresa Cocho
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Jorge Valero
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Eduardo Weruaga
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - David Díaz
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - José R. Alonso
- Institute for Neuroscience of Castile and Leon (INCyL), Universidad de Salamanca, Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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Dufour BD, McBride E, Bartley T, Juarez P, Martínez-Cerdeño V. Distinct patterns of GABAergic interneuron pathology in autism are associated with intellectual impairment and stereotypic behaviors. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023; 27:1730-1745. [PMID: 36935610 PMCID: PMC10846597 DOI: 10.1177/13623613231154053] [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] [Indexed: 03/21/2023]
Abstract
LAY ABSTRACT Autism spectrum disorder is a neurodevelopmental condition characterized by deficits in sociability and communication and the presence of repetitive behaviors. How specific pathological alterations of the brain contribute to the clinical profile of autism spectrum disorder remains unknown. We previously found that a specific type of inhibitory interneuron is reduced in number in the autism spectrum disorder prefrontal cortex. Here, we assessed the relationship between interneuron reduction and autism spectrum disorder symptom severity. We collected clinical records from autism spectrum disorder (n = 20) and assessed the relationship between the severity of symptoms and interneuron number. We found that the reduced number of inhibitory interneurons that we previously reported is linked to specific symptoms of autism spectrum disorder, particularly stereotypic movements and intellectual impairments.
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Affiliation(s)
- Brett D Dufour
- UC Davis Department of Psychiatry and Behavioral Sciences, USA
- UC Davis School of Medicine, USA
- Institute for Pediatric Regenerative Medicine, USA
| | - Erin McBride
- UC Davis School of Medicine, USA
- Institute for Pediatric Regenerative Medicine, USA
- UC Davis Department of Pathology and Laboratory Medicine, USA
| | - Trevor Bartley
- UC Davis School of Medicine, USA
- Institute for Pediatric Regenerative Medicine, USA
- UC Davis Department of Pathology and Laboratory Medicine, USA
| | - Pablo Juarez
- UC Davis School of Medicine, USA
- Institute for Pediatric Regenerative Medicine, USA
| | - Verónica Martínez-Cerdeño
- UC Davis School of Medicine, USA
- Institute for Pediatric Regenerative Medicine, USA
- UC Davis Department of Pathology and Laboratory Medicine, USA
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6
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Liao X, Chen M, Li Y. The glial perspective of autism spectrum disorder convergent evidence from postmortem brain and PET studies. Front Neuroendocrinol 2023; 70:101064. [PMID: 36889545 DOI: 10.1016/j.yfrne.2023.101064] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 02/12/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023]
Abstract
OBJECTIVE The present study aimed to systematically and quantitatively review evidence derived from both postmortem brain and PET studies to explore the pathological role of glia induced neuroinflammation in the pathogenesis of ASD, and discuss the implications of these findings in relation to disease pathogenesis and therapeutic strategies. METHOD An online databases search was performed to collate postmortem studies and PET studies regarding glia induced neuroinflammation in ASD as compared to controls. Two authors independently conducted the literature search, study selection and data extraction. The discrepancies generated in these processes was resolved through robust discussions among all authors. RESULT The literature search yielded the identification of 619 records, from which 22 postmortem studies and 3 PET studies were identified as eligible for the qualitative synthesis. Meta-analysis of postmortem studies reported increased microglial number and microglia density as well as increased GFAP protein expression and GFAP mRNA expression in ASD subjects as compared to controls. Three PET studies produced different outcomes and emphasized different details, with one reported increased and two reported decreased TSPO expression in ASD subjects as compared to controls. CONCLUSION Both postmortem evidences and PET studies converged to support the involvement of glia induced neuroinflammation in the pathogenesis of ASD. The limited number of included studies along with the considerable heterogeneity of these studies prevented the development of firm conclusions and challenged the explanation of variability. Future research should prioritize the replication of current studies and the validation of current observations.
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Affiliation(s)
- Xiaoli Liao
- Xiangya Nursing School, Central South University, Changsha, Hunan, China; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Miao Chen
- The First Affiliated Hospital, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Yamin Li
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Becker J, Sun B, Alammari F, Haerty W, Vance KW, Szele FG. What has single-cell transcriptomics taught us about long non-coding RNAs in the ventricular-subventricular zone? Stem Cell Reports 2022; 18:354-376. [PMID: 36525965 PMCID: PMC9860170 DOI: 10.1016/j.stemcr.2022.11.011] [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: 04/25/2022] [Revised: 11/14/2022] [Accepted: 11/14/2022] [Indexed: 12/16/2022] Open
Abstract
Long non-coding RNA (lncRNA) function is mediated by the process of transcription or through transcript-dependent associations with proteins or nucleic acids to control gene regulatory networks. Many lncRNAs are transcribed in the ventricular-subventricular zone (V-SVZ), a postnatal neural stem cell niche. lncRNAs in the V-SVZ are implicated in neurodevelopmental disorders, cancer, and brain disease, but their functions are poorly understood. V-SVZ neurogenesis capacity declines with age due to stem cell depletion and resistance to neural stem cell activation. Here we analyzed V-SVZ transcriptomics by pooling current single-cell RNA-seq data. They showed consistent lncRNA expression during stem cell activation, lineage progression, and aging. In conjunction with epigenetic and genetic data, we predicted V-SVZ lncRNAs that regulate stem cell activation and differentiation. Some of the lncRNAs validate known epigenetic mechanisms, but most remain uninvestigated. Our analysis points to several lncRNAs that likely participate in key aspects of V-SVZ stem cell activation and neurogenesis in health and disease.
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Affiliation(s)
- Jemima Becker
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Bin Sun
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Farah Alammari
- Department of Blood and Cancer Research, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia,Clinical Laboratory Sciences Department, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | | | - Keith W. Vance
- Department of Life Sciences, University of Bath, Bath, UK
| | - Francis George Szele
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
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Batiuk MY, Tyler T, Dragicevic K, Mei S, Rydbirk R, Petukhov V, Deviatiiarov R, Sedmak D, Frank E, Feher V, Habek N, Hu Q, Igolkina A, Roszik L, Pfisterer U, Garcia-Gonzalez D, Petanjek Z, Adorjan I, Kharchenko PV, Khodosevich K. Upper cortical layer-driven network impairment in schizophrenia. SCIENCE ADVANCES 2022; 8:eabn8367. [PMID: 36223459 PMCID: PMC9555788 DOI: 10.1126/sciadv.abn8367] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 08/24/2022] [Indexed: 05/31/2023]
Abstract
Schizophrenia is one of the most widespread and complex mental disorders. To characterize the impact of schizophrenia, we performed single-nucleus RNA sequencing (snRNA-seq) of >220,000 neurons from the dorsolateral prefrontal cortex of patients with schizophrenia and matched controls. In addition, >115,000 neurons were analyzed topographically by immunohistochemistry. Compositional analysis of snRNA-seq data revealed a reduction in abundance of GABAergic neurons and a concomitant increase in principal neurons, most pronounced for upper cortical layer subtypes, which was substantiated by histological analysis. Many neuronal subtypes showed extensive transcriptomic changes, the most marked in upper-layer GABAergic neurons, including down-regulation in energy metabolism and up-regulation in neurotransmission. Transcription factor network analysis demonstrated a developmental origin of transcriptomic changes. Last, Visium spatial transcriptomics further corroborated upper-layer neuron vulnerability in schizophrenia. Overall, our results point toward general network impairment within upper cortical layers as a core substrate associated with schizophrenia symptomatology.
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Affiliation(s)
- Mykhailo Y. Batiuk
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Teadora Tyler
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary
| | - Katarina Dragicevic
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Shenglin Mei
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Rasmus Rydbirk
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Viktor Petukhov
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ruslan Deviatiiarov
- The National Center for Personalized Medicine of Endocrine Diseases, Moscow 115478, Russia
- Kazan Federal University, Kazan 420043, Russia
| | - Dora Sedmak
- Croatian Institute for Brain Research and Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb 10000, Croatia
| | - Erzsebet Frank
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary
| | - Virginia Feher
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary
| | - Nikola Habek
- Croatian Institute for Brain Research and Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb 10000, Croatia
| | - Qiwen Hu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Anna Igolkina
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
- St. Petersburg Polytechnical University, St. Petersburg 195251, Russia
| | - Lilla Roszik
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary
| | - Ulrich Pfisterer
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Diego Garcia-Gonzalez
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Zdravko Petanjek
- Croatian Institute for Brain Research and Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb 10000, Croatia
| | - Istvan Adorjan
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary
| | - Peter V. Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Konstantin Khodosevich
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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Tai DJC, Razaz P, Erdin S, Gao D, Wang J, Nuttle X, de Esch CE, Collins RL, Currall BB, O'Keefe K, Burt ND, Yadav R, Wang L, Mohajeri K, Aneichyk T, Ragavendran A, Stortchevoi A, Morini E, Ma W, Lucente D, Hastie A, Kelleher RJ, Perlis RH, Talkowski ME, Gusella JF. Tissue- and cell-type-specific molecular and functional signatures of 16p11.2 reciprocal genomic disorder across mouse brain and human neuronal models. Am J Hum Genet 2022; 109:1789-1813. [PMID: 36152629 PMCID: PMC9606388 DOI: 10.1016/j.ajhg.2022.08.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/23/2022] [Indexed: 01/29/2023] Open
Abstract
Chromosome 16p11.2 reciprocal genomic disorder, resulting from recurrent copy-number variants (CNVs), involves intellectual disability, autism spectrum disorder (ASD), and schizophrenia, but the responsible mechanisms are not known. To systemically dissect molecular effects, we performed transcriptome profiling of 350 libraries from six tissues (cortex, cerebellum, striatum, liver, brown fat, and white fat) in mouse models harboring CNVs of the syntenic 7qF3 region, as well as cellular, transcriptional, and single-cell analyses in 54 isogenic neural stem cell, induced neuron, and cerebral organoid models of CRISPR-engineered 16p11.2 CNVs. Transcriptome-wide differentially expressed genes were largely tissue-, cell-type-, and dosage-specific, although more effects were shared between deletion and duplication and across tissue than expected by chance. The broadest effects were observed in the cerebellum (2,163 differentially expressed genes), and the greatest enrichments were associated with synaptic pathways in mouse cerebellum and human induced neurons. Pathway and co-expression analyses identified energy and RNA metabolism as shared processes and enrichment for ASD-associated, loss-of-function constraint, and fragile X messenger ribonucleoprotein target gene sets. Intriguingly, reciprocal 16p11.2 dosage changes resulted in consistent decrements in neurite and electrophysiological features, and single-cell profiling of organoids showed reciprocal alterations to the proportions of excitatory and inhibitory GABAergic neurons. Changes both in neuronal ratios and in gene expression in our organoid analyses point most directly to calretinin GABAergic inhibitory neurons and the excitatory/inhibitory balance as targets of disruption that might contribute to changes in neurodevelopmental and cognitive function in 16p11.2 carriers. Collectively, our data indicate the genomic disorder involves disruption of multiple contributing biological processes and that this disruption has relative impacts that are context specific.
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Affiliation(s)
- Derek J C Tai
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Parisa Razaz
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Serkan Erdin
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Dadi Gao
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jennifer Wang
- Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Boston, MA 02114, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Xander Nuttle
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Celine E de Esch
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ryan L Collins
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Benjamin B Currall
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kathryn O'Keefe
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nicholas D Burt
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rachita Yadav
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lily Wang
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kiana Mohajeri
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tatsiana Aneichyk
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ashok Ragavendran
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexei Stortchevoi
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Elisabetta Morini
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Weiyuan Ma
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Diane Lucente
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | | | - Raymond J Kelleher
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Roy H Perlis
- Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Boston, MA 02114, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Michael E Talkowski
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA.
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10
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In vivo imaging translocator protein (TSPO) in autism spectrum disorder. Neuropsychopharmacology 2022; 47:1421-1427. [PMID: 35383319 PMCID: PMC9117200 DOI: 10.1038/s41386-022-01306-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/01/2022] [Accepted: 03/07/2022] [Indexed: 12/23/2022]
Abstract
Converging evidence points to the significant involvement of the immune system in autism spectrum disorders (ASD). Positron emission tomography (PET) can quantify translocator protein 18 kDa (TSPO), a marker with increased expression mainly in microglia and, to some extent astroglia during neuropsychiatric diseases with inflammation. This preliminary analysis explored, for the first time, whether TSPO binding was altered in male and female participants with ASD in vivo using full kinetic quantification. Thirteen individuals with ASD (IQ > 70 [n = 12], IQ = 62 [n = 1]), 5 F, 25 ± 5 years) were scanned with [18F]FEPPA PET. Data from 13 typically developing control participants with matching age and TSPO rs6971 polymorphism (9 F, age 24 ± 5 years) were chosen from previous studies for comparison. The two tissue compartment model (2TCM) was used to determine the total volume of distribution ([18F]FEPPA VT) in four previously identified regions of interest (ROI): prefrontal, temporal, cerebellar, and anterior cingulate cortices. We observe no significant difference in [18F]FEPPA VT relative to controls (F(1,26)= 1.74, p = 0.20). However, 2 ASD participants with higher VT had concurrent major depressive episodes (MDE), which has been consistently reported during MDE. After excluding those 2 ASD participants, in a post-hoc analysis, our results show lower [18F]FEPPA VT in ASD participants compared to controls (F(1,24)= 6.62, p = 0.02). This preliminary analysis provides evidence suggesting an atypical neuroimmune state in ASD.
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11
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Ni RJ, Shu YM, Li T, Zhou JN. Whole-Brain Afferent Inputs to the Caudate Nucleus, Putamen, and Accumbens Nucleus in the Tree Shrew Striatum. Front Neuroanat 2021; 15:763298. [PMID: 34795566 PMCID: PMC8593333 DOI: 10.3389/fnana.2021.763298] [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: 08/23/2021] [Accepted: 09/30/2021] [Indexed: 02/05/2023] Open
Abstract
Day-active tree shrews have a well-developed internal capsule (ic) that clearly separates the caudate nucleus (Cd) and putamen (Pu). The striatum consists of the Cd, ic, Pu, and accumbens nucleus (Acb). Here, we characterized the cytoarchitecture of the striatum and the whole-brain inputs to the Cd, Pu, and Acb in tree shrews by using immunohistochemistry and the retrograde tracer Fluoro-Gold (FG). Our data show the distribution patterns of parvalbumin (PV), nitric oxide synthase (NOS), calretinin (CR), and tyrosine hydroxylase (TH) immunoreactivity in the striatum of tree shrews, which were different from those observed in rats. The Cd and Pu mainly received inputs from the thalamus, motor cortex, somatosensory cortex, subthalamic nucleus, substantia nigra, and other cortical and subcortical regions, whereas the Acb primarily received inputs from the anterior olfactory nucleus, claustrum, infralimbic cortex, thalamus, raphe nucleus, parabrachial nucleus, ventral tegmental area, and so on. The Cd, Pu, and Acb received inputs from different neuronal populations in the ipsilateral (60, 67, and 63 brain regions, respectively) and contralateral (23, 20, and 36 brain regions, respectively) brain hemispheres. Overall, we demonstrate that there are species differences between tree shrews and rats in the density of PV, NOS, CR, and TH immunoreactivity in the striatum. Additionally, we mapped for the first time the distribution of whole-brain input neurons projecting to the striatum of tree shrews with FG injected into the Cd, Pu, and Acb. The similarities and differences in their brain-wide input patterns may provide new insights into the diverse functions of the striatal subregions.
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Affiliation(s)
- Rong-Jun Ni
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China.,Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yu-Mian Shu
- School of Architecture and Civil Engineering, Chengdu University, Chengdu, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China.,Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jiang-Ning Zhou
- Chinese Academy of Sciences Key Laboratory of Brain Function and Diseases, School of Life Sciences, University of Science and Technology of China, Hefei, China
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12
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Gault N, Szele FG. Immunohistochemical evidence for adult human neurogenesis in health and disease. WIREs Mech Dis 2021; 13:e1526. [PMID: 34730290 DOI: 10.1002/wsbm.1526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 01/19/2023]
Abstract
Postnatal and adult neurogenesis in the subventricular zone and subgranular zone of animals such as rodents and non-human primates has been observed with many different technical approaches. Since most techniques used in animals cannot be used in humans, the majority of human neurogenesis studies rely on postmortem immunohistochemistry. This technique is difficult in human tissue, due to poor and variable preservation of antigens and samples. Nevertheless, a survey of the literature reveals that most published studies provide evidence for childhood and adult neurogenesis in the human brain stem cell niches. There are some conflicting results even when assessing the same markers and when using the same antibodies. Focusing on immunohistochemical studies on post-mortem human sections, we discuss the relative robustness of the literature on adult neurogenesis. We also discuss the response of the subventricular and subgranular zones to human disease, showing that the two niches can respond differently and that the stage of disease impacts neurogenesis levels. Thus, we highlight strong evidence for adult human neurogenesis, discuss other work that did not find it, describe obstacles in analysis, and offer other approaches to evaluate the neurogenic potential of the subventricular and subgranular zones of Homo sapiens. This article is categorized under: Neurological Diseases > Stem Cells and Development Reproductive System Diseases > Stem Cells and Development.
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Affiliation(s)
| | - Francis G Szele
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
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13
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Guo X, Wang J, Wang X, Liu W, Yu H, Xu L, Li H, Wu J, Dong M, Tan W, Chen W, Yang Y, Chen Y. Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms. Eur Radiol 2021; 32:761-770. [PMID: 34482428 DOI: 10.1007/s00330-021-08239-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/19/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To develop and validate deep learning (DL) methods for diagnosing autism spectrum disorder (ASD) based on conventional MRI (cMRI) and apparent diffusion coefficient (ADC) images. METHODS A total of 151 ASD children and 151 age-matched typically developing (TD) controls were included in this study. The data from these subjects were assigned to training and validation datasets. An additional 20 ASD children and 25 TD controls were acquired, whose data were utilized in an independent test set. All subjects underwent cMRI and diffusion-weighted imaging examination of the brain. We developed a series of DL models to separate ASD from TD based on the cMRI and ADC data. The seven models used include five single-sequence models (SSMs), one dominant-sequence model (DSM), and one all-sequence model (ASM). To enhance the feature detection of the models, we embed an attention mechanism module. RESULTS The highest AUC (0.824 ~ 0.850) was achieved when applying the SSM based on either FLAIR or ADC to the validation and independent test sets. A DSM using the combination of FLAIR and ADC showed an improved AUC in the validation (0.873) and independent test sets (0.876). The ASM also showed better diagnostic value in the validation (AUC = 0.838) and independent test sets (AUC = 0.836) compared to the SSMs. Among the models with attention mechanism, the DSM achieved the highest diagnostic performance with an AUC, accuracy, sensitivity, and specificity of 0.898, 84.4%, 85.0%, and 84.0% respectively. CONCLUSIONS This study established the potential of DL models to distinguish ASD cases from TD controls based on cMRI and ADC images. KEY POINTS • Deep learning models based on conventional MRI and ADC can be used to diagnose ASD. • The model (DSM) based on the FLAIR and ADC sequence achieved the best diagnostic performance with an AUC of 0.836 in the independent test sets. • The attention mechanism further improved the diagnostic performance of the models.
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Affiliation(s)
- Xiang Guo
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Jiehuan Wang
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Xiaoqiang Wang
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Wenjing Liu
- Children Rehabilitation Center, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Hao Yu
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Li Xu
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Hengyan Li
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China
| | | | | | | | - Weijian Chen
- Department of Medical Imaging, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yunjun Yang
- Department of Medical Imaging, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yueqin Chen
- Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, China.
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14
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Song CG, Kang X, Yang F, Du WQ, Zhang JJ, Liu L, Kang JJ, Jia N, Yue H, Fan LY, Wu SX, Jiang W, Gao F. Endocannabinoid system in the neurodevelopment of GABAergic interneurons: implications for neurological and psychiatric disorders. Rev Neurosci 2021; 32:803-831. [PMID: 33781002 DOI: 10.1515/revneuro-2020-0134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/20/2021] [Indexed: 02/07/2023]
Abstract
In mature mammalian brains, the endocannabinoid system (ECS) plays an important role in the regulation of synaptic plasticity and the functioning of neural networks. Besides, the ECS also contributes to the neurodevelopment of the central nervous system. Due to the increase in the medical and recreational use of cannabis, it is inevitable and essential to elaborate the roles of the ECS on neurodevelopment. GABAergic interneurons represent a group of inhibitory neurons that are vital in controlling neural network activity. However, the role of the ECS in the neurodevelopment of GABAergic interneurons remains to be fully elucidated. In this review, we provide a brief introduction of the ECS and interneuron diversity. We focus on the process of interneuron development and the role of ECS in the modulation of interneuron development, from the expansion of the neural stem/progenitor cells to the migration, specification and maturation of interneurons. We further discuss the potential implications of the ECS and interneurons in the pathogenesis of neurological and psychiatric disorders, including epilepsy, schizophrenia, major depressive disorder and autism spectrum disorder.
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Affiliation(s)
- Chang-Geng Song
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China.,Department of Neurology, Xijing Hospital, Fourth Military Medical University, 127 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Xin Kang
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Fang Yang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, 127 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Wan-Qing Du
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Jia-Jia Zhang
- National Translational Science Center for Molecular Medicine & Department of Cell Biology, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Long Liu
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Jun-Jun Kang
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Ning Jia
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Hui Yue
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Lu-Yu Fan
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Sheng-Xi Wu
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, 127 Chang Le Xi Road, Xi'an710032, Shaanxi, China
| | - Fang Gao
- Department of Neurobiology and Institute of Neurosciences, Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, 169 Chang Le Xi Road, Xi'an710032, Shaanxi, China
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15
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Adorjan I, Sun B, Feher V, Tyler T, Veres D, Chance SA, Szele FG. Evidence for Decreased Density of Calretinin-Immunopositive Neurons in the Caudate Nucleus in Patients With Schizophrenia. Front Neuroanat 2020; 14:581685. [PMID: 33281566 PMCID: PMC7691639 DOI: 10.3389/fnana.2020.581685] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/19/2020] [Indexed: 12/29/2022] Open
Abstract
Schizophrenia (SCH) and autism spectrum disorder (ASD) share several common aetiological and symptomatic features suggesting they may be included in a common spectrum. For example, recent results suggest that excitatory/inhibitory imbalance is relevant in the etiology of SCH and ASD. Numerous studies have investigated this imbalance in regions like the ventromedial and dorsolateral prefrontal cortex (DLPFC). However, relatively little is known about neuroanatomical changes that could reduce inhibition in subcortical structures, such as the caudate nucleus (CN), in neuropsychiatric disorders. We recently showed a significant decrease in calretinin-immunopositive (CR-ip) interneuronal density in the CN of patients with ASD without significant change in the density of neuropeptide Y-immunopositive (NPY-ip) neurons. These subtypes together constitute more than 50% of caudate interneurons and are likely necessary for maintaining excitatory/inhibitory balance. Consequently, and since SCH and ASD share characteristic features, here we tested the hypothesis, that the density of CR-ip neurons in the CN is decreased in patients with SCH. We used immunohistochemistry and qPCR for CR and NPY in six patients with schizophrenia and six control subjects. As expected, small, medium and large CR-ip interneurons were detected in the CN. We found a 38% decrease in the density of all CR-ip interneurons (P < 0.01) that was driven by the loss of the small CR-ip interneurons (P < 0.01) in patients with SCH. The densities of the large CR-ip and of the NPY-ip interneurons were not significantly altered. The lower density detected could have been due to inflammation-induced degeneration. However, the state of microglial activation assessed by quantification of ionized calcium-binding adapter molecule 1 (Iba1)- and transmembrane protein 119 (TMEM119)-immunopositive cells showed no significant difference between patients with SCH and controls. Our results warrant further studies focussing on the role of CR-ip neurons and on the striatum being a possible hub for information selection and regulation of associative cortical fields whose function have been altered in SCH.
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Affiliation(s)
- Istvan Adorjan
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom.,Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
| | - Bin Sun
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.,Institute of Clinical Sciences, Imperial College London, London, United Kingdom.,Medical Research Council (MRC) London Institute of Medical Sciences, London, United Kingdom
| | - Virginia Feher
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
| | - Teadora Tyler
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
| | - Daniel Veres
- Department of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary
| | - Steven A Chance
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Francis G Szele
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
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16
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Microglia mediated neuroinflammation in autism spectrum disorder. J Psychiatr Res 2020; 130:167-176. [PMID: 32823050 DOI: 10.1016/j.jpsychires.2020.07.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/09/2020] [Accepted: 07/15/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Although the precise pathophysiologies underlying autism spectrum disorder (ASD) has not yet been fully clarified, growing evidence supports the involvement of neuroinflammation in the pathogenesis of this disorder, with microglia being particular relevance in the pathophysiologic processes. OBJECTIVE The present review aimed to systematically characterize existing literature regarding the role of microglia mediated neuroinflammation in the etiology of ASD. METHODS A systematic search was conducted for records indexed within Pubmed, EMBASE, or Web of Science to identify potentially eligible publications. Study selection and data extraction were performed by two authors, and the discrepancies in each step were settled through discussions. RESULTS A total of 14 studies comprising 1007 subjects met the eligibility criteria for this review, including 8 immunohistochemistry (IHC) studies, 5 genetic analysis studies, and 1 positron emission tomography (PET) studies. Although small in quantity, the included studies collectively pointed to a role of microglia mediated neuroinflammation in the pathogenesis of ASD. CONCLUSION Findings generated from this review consistently supported the involvement of neuroinflammation in the development of ASD, confirmed by the activation of microglia in different brain regions, involving increased cell number or cell density, morphological alterations, and phenotypic shifts.
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17
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Fleiss B, Gressens P, Stolp HB. Cortical Gray Matter Injury in Encephalopathy of Prematurity: Link to Neurodevelopmental Disorders. Front Neurol 2020; 11:575. [PMID: 32765390 PMCID: PMC7381224 DOI: 10.3389/fneur.2020.00575] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 05/19/2020] [Indexed: 12/16/2022] Open
Abstract
Preterm-born infants frequently suffer from an array of neurological damage, collectively termed encephalopathy of prematurity (EoP). They also have an increased risk of presenting with a neurodevelopmental disorder (e.g., autism spectrum disorder; attention deficit hyperactivity disorder) later in life. It is hypothesized that it is the gray matter injury to the cortex, in addition to white matter injury, in EoP that is responsible for the altered behavior and cognition in these individuals. However, although it is established that gray matter injury occurs in infants following preterm birth, the exact nature of these changes is not fully elucidated. Here we will review the current state of knowledge in this field, amalgamating data from both clinical and preclinical studies. This will be placed in the context of normal processes of developmental biology and the known pathophysiology of neurodevelopmental disorders. Novel diagnostic and therapeutic tactics required integration of this information so that in the future we can combine mechanism-based approaches with patient stratification to ensure the most efficacious and cost-effective clinical practice.
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Affiliation(s)
- Bobbi Fleiss
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
- Université de Paris, NeuroDiderot, Inserm, Paris, France
- PremUP, Paris, France
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Pierre Gressens
- Université de Paris, NeuroDiderot, Inserm, Paris, France
- PremUP, Paris, France
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Helen B. Stolp
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom
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18
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Decreased density of cholinergic interneurons in striatal territories in Williams syndrome. Brain Struct Funct 2020; 225:1019-1032. [PMID: 32189114 DOI: 10.1007/s00429-020-02055-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 02/27/2020] [Indexed: 12/22/2022]
Abstract
Williams syndrome (WS) is a rare neurodevelopmental disorder caused by the hemideletion of approximately 25-28 genes at 7q11.23. Its unusual social and cognitive phenotype is most strikingly characterized by the disinhibition of social behavior, in addition to reduced global IQ, with a relative sparing of language ability. Hypersociality and increased social approach behavior in WS may represent a unique inability to inhibit responses to specific social stimuli, which is likely associated with abnormalities of frontostriatal circuitry. The striatum is characterized by a diversity of interneuron subtypes, including inhibitory parvalbumin-positive interneurons (PV+) and excitatory cholinergic interneurons (Ch+). Animal model research has identified an important role for these specialized cells in regulating social approach behavior. Previous research in humans identified a depletion of interneuron subtypes associated with neuropsychiatric disorders. Here, we examined the density of PV+ and Ch+ interneurons in the striatum of 13 WS and neurotypical (NT) subjects. We found a significant reduction in the density of Ch+ interneurons in the medial caudate nucleus and nucleus accumbens, important regions receiving cortical afferents from the orbitofrontal and ventromedial prefrontal cortex, and circuitry involved in language and reward systems. No significant difference in the distribution of PV+ interneurons was found. The pattern of decreased Ch+ interneuron densities in WS differs from patterns of interneuron depletion found in other disorders.
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19
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László ZI, Bercsényi K, Mayer M, Lefkovics K, Szabó G, Katona I, Lele Z. N-cadherin (Cdh2) Maintains Migration and Postmitotic Survival of Cortical Interneuron Precursors in a Cell-Type-Specific Manner. Cereb Cortex 2020; 30:1318-1329. [PMID: 31402374 PMCID: PMC7219024 DOI: 10.1093/cercor/bhz168] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/24/2019] [Accepted: 06/24/2019] [Indexed: 12/14/2022] Open
Abstract
The multiplex role of cadherin-based adhesion complexes during development of pallial excitatory neurons has been thoroughly characterized. In contrast, much less is known about their function during interneuron development. Here, we report that conditional removal of N-cadherin (Cdh2) from postmitotic neuroblasts of the subpallium results in a decreased number of Gad65-GFP-positive interneurons in the adult cortex. We also found that interneuron precursor migration into the pallium was already delayed at E14. Using immunohistochemistry and TUNEL assay in the embryonic subpallium, we excluded decreased mitosis and elevated cell death as possible sources of this defect. Moreover, by analyzing the interneuron composition of the adult somatosensory cortex, we uncovered an unexpected interneuron-type-specific defect caused by Cdh2-loss. This was not due to a fate-switch between interneuron populations or altered target selection during migration. Instead, potentially due to the migration delay, part of the precursors failed to enter the cortical plate and consequently got eliminated at early postnatal stages. In summary, our results indicate that Cdh2-mediated interactions are necessary for migration and survival during the postmitotic phase of interneuron development. Furthermore, we also propose that unlike in pallial glutamatergic cells, Cdh2 is not universal, rather a cell type-specific factor during this process.
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Affiliation(s)
- Zsófia I László
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
- Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary
| | - Kinga Bercsényi
- Laboratory of Molecular Biology and Genetics, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, and Medical Research Council Centre for Neurodevelopmental Disorders, King’s College London, London, UK
| | - Mátyás Mayer
- Laboratory of Molecular Biology and Genetics, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - Kornél Lefkovics
- Laboratory of Molecular Biology and Genetics, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - Gábor Szabó
- Laboratory of Molecular Biology and Genetics, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - István Katona
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - Zsolt Lele
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
- Laboratory of Molecular Biology and Genetics, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
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20
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O'Neill J, Bansal R, Goh S, Rodie M, Sawardekar S, Peterson BS. Parsing the Heterogeneity of Brain Metabolic Disturbances in Autism Spectrum Disorder. Biol Psychiatry 2020; 87:174-184. [PMID: 31427037 PMCID: PMC6925333 DOI: 10.1016/j.biopsych.2019.06.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 05/18/2019] [Accepted: 06/11/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Despite rising prevalence of autism spectrum disorder (ASD), its brain bases remain uncertain. Abnormal levels of N-acetyl compounds, glutamate+glutamine, creatine+phosphocreatine, or choline compounds measured by proton magnetic resonance spectroscopy suggest that neuron or glial density, mitochondrial energetic metabolism, and/or inflammation contribute to ASD neuropathology. The neuroanatomic distribution of these metabolites could help evaluate leading theories of ASD. However, most prior magnetic resonance spectroscopy studies had small samples (all <60, most <20), interrogated only a small fraction of the brain, and avoided assessing effects of age, sex, and IQ. METHODS We acquired near-whole-brain magnetic resonance spectroscopy of N-acetyl compounds, glutamate+glutamine, creatine+phosphocreatine, and choline compounds in 78 children and adults with ASD and 96 typically developing children and adults, rigorously evaluating effects of diagnosis and severity on metabolites, as moderated by age, sex, and IQ. RESULTS Effects of ASD and its severity included reduced levels of multiple metabolites in white matter and the perisylvian cortex and elevated levels in the posterior cingulate, consistent with white matter and social-brain theories of ASD. Regionally, both slower and faster decreases of metabolites with age were observed in ASD versus TD. Male-female metabolite differences were widely smaller in ASD than typically developing children and adults. ASD-specific decreases in metabolites with decreasing IQ occurred in several brain areas. CONCLUSIONS Results support multifocal abnormal neuron or glial density, mitochondrial energetics, or neuroinflammation in ASD, alongside widespread starkly atypical moderating effects of age, sex, and IQ. These findings help parse the neurometabolic signature for ASD by phenotypic heterogeneity.
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Affiliation(s)
- Joseph O'Neill
- Division of Child and Adolescent Psychiatry, Jane and Terry Semel Institute for Neuroscience, University of California, Los Angeles, California.
| | - Ravi Bansal
- Institute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Suzanne Goh
- Division of Child Neurology, Rady Children's Hospital, University of California, San Diego, San Diego, California
| | - Martina Rodie
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom
| | - Siddhant Sawardekar
- Institute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Bradley S Peterson
- Institute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California.
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21
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Al-Dalahmah O, Campos Soares L, Nicholson J, Draijer S, Mundim M, Lu VM, Sun B, Tyler T, Adorján I, O'Neill E, Szele FG. Galectin-3 modulates postnatal subventricular zone gliogenesis. Glia 2019; 68:435-450. [PMID: 31626379 PMCID: PMC6916335 DOI: 10.1002/glia.23730] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 09/18/2019] [Accepted: 09/19/2019] [Indexed: 12/21/2022]
Abstract
Postnatal subventricular zone (SVZ) neural stem cells generate forebrain glia, namely astrocytes and oligodendrocytes. The cues necessary for this process are unclear, despite this phase of brain development being pivotal in forebrain gliogenesis. Galectin‐3 (Gal‐3) is increased in multiple brain pathologies and thereby regulates astrocyte proliferation and inflammation in injury. To study the function of Gal‐3 in inflammation and gliogenesis, we carried out functional studies in mouse. We overexpressed Gal‐3 with electroporation and using immunohistochemistry surprisingly found no inflammation in the healthy postnatal SVZ. This allowed investigation of inflammation‐independent effects of Gal‐3 on gliogenesis. Loss of Gal‐3 function via knockdown or conditional knockout reduced gliogenesis, whereas Gal‐3 overexpression increased it. Gal‐3 overexpression also increased the percentage of striatal astrocytes generated by the SVZ but decreased the percentage of oligodendrocytes. These novel findings were further elaborated with multiple analyses demonstrating that Gal‐3 binds to the bone morphogenetic protein receptor one alpha (BMPR1α) and increases bone morphogenetic protein (BMP) signaling. Conditional knockout of BMPR1α abolished the effect of Gal‐3 overexpression on gliogenesis. Gain‐of‐function of Gal‐3 is relevant in pathological conditions involving the human forebrain, which is particularly vulnerable to hypoxia/ischemia during perinatal gliogenesis. Hypoxic/ischemic injury induces astrogliosis, inflammation and cell death. We show that Gal‐3 immunoreactivity was increased in the perinatal human SVZ and striatum after hypoxia/ischemia. Our findings thus show a novel inflammation‐independent function for Gal‐3; it is necessary for gliogenesis and when increased in expression can induce astrogenesis via BMP signaling.
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Affiliation(s)
- Osama Al-Dalahmah
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.,Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York
| | - Luana Campos Soares
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.,Department of Oncology, University of Oxford, Oxford, UK
| | - James Nicholson
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Swip Draijer
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Mayara Mundim
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Victor M Lu
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Bin Sun
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Teadora Tyler
- Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
| | - István Adorján
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.,Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest, Hungary
| | - Eric O'Neill
- Department of Oncology, University of Oxford, Oxford, UK
| | - Francis G Szele
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
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22
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Adorjan I, Tyler T, Bhaduri A, Demharter S, Finszter CK, Bako M, Sebok OM, Nowakowski TJ, Khodosevich K, Møllgård K, Kriegstein AR, Shi L, Hoerder‐Suabedissen A, Ansorge O, Molnár Z. Neuroserpin expression during human brain development and in adult brain revealed by immunohistochemistry and single cell RNA sequencing. J Anat 2019; 235:543-554. [PMID: 30644551 PMCID: PMC6704272 DOI: 10.1111/joa.12931] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2018] [Indexed: 01/08/2023] Open
Abstract
Neuroserpin is a serine-protease inhibitor mainly expressed in the CNS and involved in the inhibition of the proteolytic cascade. Animal models confirmed its neuroprotective role in perinatal hypoxia-ischaemia and adult stroke. Although neuroserpin may be a potential therapeutic target in the treatment of the aforementioned conditions, there is still no information in the literature on its distribution during human brain development. The present study provides a detailed description of the changing spatiotemporal patterns of neuroserpin focusing on physiological human brain development. Five stages were distinguished within our examined age range which spanned from the 7th gestational week until adulthood. In particular, subplate and deep cortical plate neurons were identified as the main sources of neuroserpin production between the 25th gestational week and the first postnatal month. Our immunohistochemical findings were substantiated by single cell RNA sequencing data showing specific neuronal and glial cell types expressing neuroserpin. The characterization of neuroserpin expression during physiological human brain development is essential for forthcoming studies which will explore its involvement in pathological conditions, such as perinatal hypoxia-ischaemia and adult stroke in human.
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Affiliation(s)
- Istvan Adorjan
- Department of Anatomy, Histology and EmbryologySemmelweis UniversityBudapestHungary
- Department of Physiology, Anatomy and GeneticsUniversity of OxfordOxfordUK
- Neuropathology UnitNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Teadora Tyler
- Department of Anatomy, Histology and EmbryologySemmelweis UniversityBudapestHungary
| | - Aparna Bhaduri
- Department NeurologyUniversity of California San FranciscoSan FranciscoCAUSA
| | - Samuel Demharter
- Biotech Research and Innovation CentreUniversity of CopenhagenCopenhagenDenmark
| | | | - Maria Bako
- Department of Anatomy, Histology and EmbryologySemmelweis UniversityBudapestHungary
| | - Oliver Marcell Sebok
- Department of Anatomy, Histology and EmbryologySemmelweis UniversityBudapestHungary
| | | | | | - Kjeld Møllgård
- Department of Cellular and Molecular MedicineThe Panum InstituteFaculty of Health SciencesUniversity of CopenhagenCopenhagenDenmark
| | | | - Lei Shi
- Joint Laboratory for Neuroscience and Innovative Drug ResearchJinan UniversityGuangzhouChina
| | | | - Olaf Ansorge
- Neuropathology UnitNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Zoltán Molnár
- Department of Physiology, Anatomy and GeneticsUniversity of OxfordOxfordUK
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23
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Saffari R, Grotefeld K, Kravchenko M, Zhang M, Zhang W. Calretinin +-neurons-mediated GABAergic inhibition in mouse prefrontal cortex. Prog Neuropsychopharmacol Biol Psychiatry 2019; 94:109658. [PMID: 31145926 DOI: 10.1016/j.pnpbp.2019.109658] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/17/2019] [Accepted: 05/22/2019] [Indexed: 10/26/2022]
Abstract
The prefrontal cortex (PFC) is a center for executive and cognitive functions. Although many studies have been carried out to elucidate the role of different subtypes of GABAergic neurons in other brain areas, their functional relevance in PFC is still not fully understood. Calretinin+-GABAergic neurons are heterogeneous in their morphology and intrinsic properties. Previous studies showed an involvement of CR+-GABAergic neurons in the disinhibition of the other GABAergic neurons in neocortex and hippocampus. Furthermore, the loss of CR+- and PV+-interneurons in human brain has been linked to the vulnerability of the interneurons and to the overall increase in the network excitability associated with mental diseases. In the present study, the intensity of CR+-neuropil was higher in layer II/III, whereas the intensity of PV+-neuropil was higher in deeper layers within the PFC. In addition, pronounced CR expression was detected in layer II and III of prelimbic and infralimbic cortex whereas they were less abundant in anterior cingulate cortex and motor cortex 2. Our results showed that bipolar CR+- neurons in layer V not only feedback inhibited multipolar CR+- and other interneurons in layer II/III, but the majority of bipolar CR+-neurons in layer II/III also provide long-range forward-inhibition to pyramidal neurons in deeper layers of PFC. Thus, given the importance of the neuronal network of PFC in central control of emotion and cognition and in the pathology of mental diseases, CR+-GABAergic neuron-mediated feed-forward and -backward modulation within PFC would differentially modulate the downstream limbic activity and subsequently shape the cognitive and emotional behavior.
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Affiliation(s)
- Roja Saffari
- Laboratory of molecular psychiatry, Department of psychiatry, University of Münster, Germany
| | - Kirsten Grotefeld
- Laboratory of molecular psychiatry, Department of psychiatry, University of Münster, Germany
| | - Mykola Kravchenko
- Laboratory of molecular psychiatry, Department of psychiatry, University of Münster, Germany
| | - Mingyue Zhang
- Laboratory of molecular psychiatry, Department of psychiatry, University of Münster, Germany
| | - Weiqi Zhang
- Laboratory of molecular psychiatry, Department of psychiatry, University of Münster, Germany.
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24
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Stolp HB, Fleiss B, Arai Y, Supramaniam V, Vontell R, Birtles S, Yates AG, Baburamani AA, Thornton C, Rutherford M, Edwards AD, Gressens P. Interneuron Development Is Disrupted in Preterm Brains With Diffuse White Matter Injury: Observations in Mouse and Human. Front Physiol 2019; 10:955. [PMID: 31417418 PMCID: PMC6683859 DOI: 10.3389/fphys.2019.00955] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 07/09/2019] [Indexed: 12/18/2022] Open
Abstract
Preterm brain injury, occurring in approximately 30% of infants born <32 weeks gestational age, is associated with an increased risk of neurodevelopmental disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). The mechanism of gray matter injury in preterm born children is unclear and likely to be multifactorial; however, inflammation, a high predictor of poor outcome in preterm infants, has been associated with disrupted interneuron maturation in a number of animal models. Interneurons are important for regulating normal brain development, and disruption in interneuron development, and the downstream effects of this, has been implicated in the etiology of neurodevelopmental disorders. Here, we utilize postmortem tissue from human preterm cases with or without diffuse white matter injury (WMI; PMA range: 23+2 to 28+1 for non-WMI group, 26+6 to 30+0 for WMI group, p = 0.002) and a model of inflammation-induced preterm diffuse white matter injury (i.p. IL-1β, b.d., 10 μg/kg/injection in male CD1 mice from P1–5). Data from human preterm infants show deficits in interneuron numbers in the cortex and delayed growth of neuronal arbors at this early stage of development. In the mouse, significant reduction in the number of parvalbumin-positive interneurons was observed from postnatal day (P) 10. This decrease in parvalbumin neuron number was largely rectified by P40, though there was a significantly smaller number of parvalbumin positive cells associated with perineuronal nets in the upper cortical layers. Together, these data suggest that inflammation in the preterm brain may be a contributor to injury of specific interneuron in the cortical gray matter. This may represent a potential target for postnatal therapy to reduce the incidence and/or severity of neurodevelopmental disorders in preterm infants.
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Affiliation(s)
- Helen B Stolp
- Department for Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.,Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Bobbi Fleiss
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Université de Paris, NeuroDiderot, Inserm, Paris, France.,School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Yoko Arai
- Université de Paris, NeuroDiderot, Inserm, Paris, France
| | - Veena Supramaniam
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Regina Vontell
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Department of Neurology, University of Miami, Miller School of Medicine, Miami, FL, United States
| | - Sebastian Birtles
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Abi G Yates
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Ana A Baburamani
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Claire Thornton
- Department for Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.,Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Mary Rutherford
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - A David Edwards
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Pierre Gressens
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Université de Paris, NeuroDiderot, Inserm, Paris, France
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25
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Hohn VD, de Veld DMJ, Mataw KJS, van Someren EJW, Begeer S. Insomnia Severity in Adults with Autism Spectrum Disorder is Associated with sensory Hyper-Reactivity and Social Skill Impairment. J Autism Dev Disord 2019; 49:2146-2155. [PMID: 30737588 PMCID: PMC6483941 DOI: 10.1007/s10803-019-03891-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Insomnia is a common source of distress in adults with autism spectrum disorder (ASD). Two characteristics of ASD could be relevant to insomnia complaints by hampering the entrainment of a circadian sleep-wake rhythm. First, sensory hyper-reactivity could lead to bright light avoidance and thus affect photoperiodic input to the circadian system. Second, impaired social skills complicate the establishment of a social interactions and thus affect scheduled social-behavioral input to the circadian system. We investigated the association of insomnia severity with sensory reactivity and social skills in 631 adults (18–65 years) with ASD. Results revealed positive associations of insomnia severity with general and visual sensory hyper-reactivity and with impairment of social skills. The findings warrant further studies which (1) directly assess whether a suboptimal functioning of the biological clock underlies these associations and (2) identify other factors that could contribute to observed sleep problems.
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Affiliation(s)
- Vanessa D Hohn
- Section Clinical Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Danielle M J de Veld
- Section Clinical Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Kawita J S Mataw
- Section Clinical Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Eus J W van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Departments of Psychiatry and Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universtiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Departments of Integrative Neurophysiology and Psychiatry, Neuroscience Campus Amsterdam, VU University and Medical Center, Amsterdam, The Netherlands
| | - Sander Begeer
- Section Clinical Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.
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26
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Postnatal development and maturation of layer 1 in the lateral prefrontal cortex and its disruption in autism. Acta Neuropathol Commun 2019; 7:40. [PMID: 30867066 PMCID: PMC6417186 DOI: 10.1186/s40478-019-0684-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 02/23/2019] [Indexed: 12/11/2022] Open
Abstract
Autism is a neurodevelopmental connectivity disorder characterized by cortical network disorganization and imbalance in excitation/inhibition. However, little is known about the development of autism pathology and the disruption of laminar-specific excitatory and inhibitory cortical circuits. To begin to address these issues, we examined layer 1 of the lateral prefrontal cortex (LPFC), an area with prolonged development and maturation that is affected in autism. We focused on layer 1 because it contains a distinctive, diverse population of interneurons and glia, receives input from feedback and neuromodulatory pathways, and plays a critical role in the development, maturation, and function of the cortex. We used unbiased quantitative methods at high resolution to study the morphology, neurochemistry, distribution, and density of neurons and myelinated axons in post-mortem brain tissue from children and adults with and without autism. We cross-validated our findings through comparisons with neighboring anterior cingulate cortices and optimally-fixed non-human primate tissue. In neurotypical controls we found an increase in the density of myelinated axons from childhood to adulthood. Neuron density overall declined with age, paralleled by decreased density of inhibitory interneurons labeled by calretinin (CR), calbindin (CB), and parvalbumin (PV). Importantly, we found PV neurons in layer 1 of typically developing children, previously detected only perinatally. In autism there was disorganization of cortical networks within layer 1: children with autism had increased variability in the trajectories and thickness of myelinated axons in layer 1, while adults with autism had a reduction in the relative proportion of thin axons. Neurotypical postnatal changes in layer 1 of LPFC likely underlie refinement of cortical activity during maturation of cortical networks involved in cognition. Our findings suggest that disruption of the maturation of feedback pathways, rather than interneurons in layer 1, has a key role in the development of imbalance between excitation and inhibition in autism.
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27
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Guidi LG, Velayos‐Baeza A, Martinez‐Garay I, Monaco AP, Paracchini S, Bishop DVM, Molnár Z. The neuronal migration hypothesis of dyslexia: A critical evaluation 30 years on. Eur J Neurosci 2018; 48:3212-3233. [PMID: 30218584 PMCID: PMC6282621 DOI: 10.1111/ejn.14149] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 08/06/2018] [Accepted: 08/13/2018] [Indexed: 12/29/2022]
Abstract
The capacity for language is one of the key features underlying the complexity of human cognition and its evolution. However, little is known about the neurobiological mechanisms that mediate normal or impaired linguistic ability. For developmental dyslexia, early postmortem studies conducted in the 1980s linked the disorder to subtle defects in the migration of neurons in the developing neocortex. These early studies were reinforced by human genetic analyses that identified dyslexia susceptibility genes and subsequent evidence of their involvement in neuronal migration. In this review, we examine recent experimental evidence that does not support the link between dyslexia and neuronal migration. We critically evaluate gene function studies conducted in rodent models and draw attention to the lack of robust evidence from histopathological and imaging studies in humans. Our review suggests that the neuronal migration hypothesis of dyslexia should be reconsidered, and the neurobiological basis of dyslexia should be approached with a fresh start.
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Affiliation(s)
- Luiz G. Guidi
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUK
- Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Antonio Velayos‐Baeza
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUK
- Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Isabel Martinez‐Garay
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUK
- Division of NeuroscienceSchool of BiosciencesCardiff UniversityCardiffUK
| | | | | | | | - Zoltán Molnár
- Department of Physiology, Anatomy, and GeneticsUniversity of OxfordOxfordUK
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28
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Wang X, Guo J, Song Y, Wang Q, Hu S, Gou L, Gao Y. Decreased Number and Expression of nNOS-Positive Interneurons in Basolateral Amygdala in Two Mouse Models of Autism. Front Cell Neurosci 2018; 12:251. [PMID: 30150925 PMCID: PMC6099087 DOI: 10.3389/fncel.2018.00251] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 07/23/2018] [Indexed: 11/13/2022] Open
Abstract
The basolateral amygdala (BLA) controls socio-emotional behaviors and is involved in the etiology of autism. We have recently shown that virtually every neuronal nitric oxide synthase (nNOS) positive cell is a GABAergic inhibitory interneuron in the mouse BLA. Here, stereology was used to quantify the number of nNOS-expressing interneurons in valproic acid (VPA)-exposed C57BL/6J (B6) and BTBR T+Itpr3tf/J (BTBR) mice models of autism. Additionally, the protein and mRNA levels of nNOS in the BLA were quantitatively assessed by western blot and qRT-PCR analysis, respectively. Our results showed the decreased number of nNOS interneurons in the BLA of animal models relative to autism. Consistently, nNOS was significantly reduced in the VPA-exposed and BTBR mice at both protein and mRNA levels. Together, these preliminary findings suggest that down-regulation of nNOS may be an attractive target for the pharmacological intervention in autism.
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Affiliation(s)
- Xiaona Wang
- Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated of Zhengzhou University, Zhengzhou, China
| | - Jisheng Guo
- Center for Translational Medicine, The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Yinsen Song
- Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated of Zhengzhou University, Zhengzhou, China
| | - Qi Wang
- Department of Histology and Embryology, Guizhou Medical University, Guiyang, China
| | - Shunan Hu
- Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated of Zhengzhou University, Zhengzhou, China
| | - Lingshan Gou
- Center for Genetic Medicine, Xuzhou Maternity and Child Health Care Hospital, Xuzhou, China
| | - Yinbo Gao
- Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated of Zhengzhou University, Zhengzhou, China
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