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Mostafavi Abdolmaleky H, Alam R, Nohesara S, Deth RC, Zhou JR. iPSC-Derived Astrocytes and Neurons Replicate Brain Gene Expression, Epigenetic, Cell Morphology and Connectivity Alterations Found in Autism. Cells 2024; 13:1095. [PMID: 38994948 PMCID: PMC11240613 DOI: 10.3390/cells13131095] [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: 04/12/2024] [Revised: 06/04/2024] [Accepted: 06/19/2024] [Indexed: 07/13/2024] Open
Abstract
Excessive inflammatory reactions and oxidative stress are well-recognized molecular findings in autism and these processes can affect or be affected by the epigenetic landscape. Nonetheless, adequate therapeutics are unavailable, as patient-specific brain molecular markers for individualized therapies remain challenging. METHODS We used iPSC-derived neurons and astrocytes of patients with autism vs. controls (5/group) to examine whether they replicate the postmortem brain expression/epigenetic alterations of autism. Additionally, DNA methylation of 10 postmortem brain samples (5/group) was analyzed for genes affected in PSC-derived cells. RESULTS We found hyperexpression of TGFB1, TGFB2, IL6 and IFI16 and decreased expression of HAP1, SIRT1, NURR1, RELN, GPX1, EN2, SLC1A2 and SLC1A3 in the astrocytes of patients with autism, along with DNA hypomethylation of TGFB2, IL6, TNFA and EN2 gene promoters and a decrease in HAP1 promoter 5-hydroxymethylation in the astrocytes of patients with autism. In neurons, HAP1 and IL6 expression trended alike. While HAP1 promoter was hypermethylated in neurons, IFI16 and SLC1A3 promoters were hypomethylated and TGFB2 exhibited increased promoter 5-hydroxymethlation. We also found a reduction in neuronal arborization, spine size, growth rate, and migration, but increased astrocyte size and a reduced growth rate in autism. In postmortem brain samples, we found DNA hypomethylation of TGFB2 and IFI16 promoter regions, but DNA hypermethylation of HAP1 and SLC1A2 promoters in autism. CONCLUSION Autism-associated expression/epigenetic alterations in iPSC-derived cells replicated those reported in the literature, making them appropriate surrogates to study disease pathogenesis or patient-specific therapeutics.
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Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Reza Alam
- Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Shabnam Nohesara
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Richard C Deth
- Department of Pharmaceutical Sciences, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Jin-Rong Zhou
- Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
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Wang H, Ma ZH, Xu LZ, Yang L, Ji ZZ, Tang XZ, Liu JR, Li X, Cao QJ, Liu J. Developmental brain structural atypicalities in autism: a voxel-based morphometry analysis. Child Adolesc Psychiatry Ment Health 2022; 16:7. [PMID: 35101065 PMCID: PMC8805267 DOI: 10.1186/s13034-022-00443-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/20/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Structural magnetic resonance imaging (sMRI) studies have shown atypicalities in structural brain changes in individuals with autism spectrum disorder (ASD), while a noticeable discrepancy in their results indicates the necessity of conducting further researches. METHODS The current study investigated the atypical structural brain features of autistic individuals who aged 6-30 years old. A total of 52 autistic individuals and 50 age-, gender-, and intelligence quotient (IQ)-matched typically developing (TD) individuals were included in this study, and were assigned into three based cohorts: childhood (6-12 years old), adolescence (13-18 years old), and adulthood (19-30 years old). Analyses of whole-brain volume and voxel-based morphometry (VBM) on the sMRI data were conducted. RESULTS No significant difference was found in the volumes of whole-brain, gray matter, and white matter between the autism and TD groups in the three age-based cohorts. For VBM analyses, the volumes of gray matter in the right superior temporal gyrus and right inferior parietal lobule in the autism group (6-12 years old) were smaller than those in the TD group; the gray matter volume in the left inferior parietal lobule in the autism group (13-18 years old) was larger than that in the TD group; the gray matter volume in the right middle occipital gyrus in the autism group (19-30 years old) was larger than that in the TD group, and the gray matter volume in the left posterior cingulate gyrus in the autism group was smaller than that in the TD group. CONCLUSION Autistic individuals showed different atypical regional gray matter volumetric changes in childhood, adolescence, and adulthood compared to their TD peers, indicating that it is essential to consider developmental stages of the brain when exploring brain structural atypicalities in autism.
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Affiliation(s)
- Hui Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Zeng-Hui Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Ling-Zi Xu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Liu Yang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Zhao-Zheng Ji
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Xin-Zhou Tang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Jing-Ran Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China
| | - Xue Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China.
| | - Qing-Jiu Cao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China.
| | - Jing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan Road, Haidian District, Beijing, 100191, China.
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Increased locomotor activity via regulation of GABAergic signalling in foxp2 mutant zebrafish-implications for neurodevelopmental disorders. Transl Psychiatry 2021; 11:529. [PMID: 34650032 PMCID: PMC8517032 DOI: 10.1038/s41398-021-01651-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 09/08/2021] [Accepted: 09/29/2021] [Indexed: 12/14/2022] Open
Abstract
Recent advances in the genetics of neurodevelopmental disorders (NDDs) have identified the transcription factor FOXP2 as one of numerous risk genes, e.g. in autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). FOXP2 function is suggested to be involved in GABAergic signalling and numerous studies demonstrate that GABAergic function is altered in NDDs, thus disrupting the excitation/inhibition balance. Interestingly, GABAergic signalling components, including glutamate-decarboxylase 1 (Gad1) and GABA receptors, are putative transcriptional targets of FOXP2. However, the specific role of FOXP2 in the pathomechanism of NDDs remains elusive. Here we test the hypothesis that Foxp2 affects behavioural dimensions via GABAergic signalling using zebrafish as model organism. We demonstrate that foxp2 is expressed by a subset of GABAergic neurons located in brain regions involved in motor functions, including the subpallium, posterior tuberculum, thalamus and medulla oblongata. Using CRISPR/Cas9 gene-editing we generated a novel foxp2 zebrafish loss-of-function mutant that exhibits increased locomotor activity. Further, genetic and/or pharmacological disruption of Gad1 or GABA-A receptors causes increased locomotor activity, resembling the phenotype of foxp2 mutants. Application of muscimol, a GABA-A receptor agonist, rescues the hyperactive phenotype induced by the foxp2 loss-of-function. By reverse translation of the therapeutic effect on hyperactive behaviour exerted by methylphenidate, we note that application of methylphenidate evokes different responses in wildtype compared to foxp2 or gad1b loss-of-function animals. Together, our findings support the hypothesis that foxp2 regulates locomotor activity via GABAergic signalling. This provides one targetable mechanism, which may contribute to behavioural phenotypes commonly observed in NDDs.
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Lin Y, Yerukala Sathipati S, Ho SY. Predicting the Risk Genes of Autism Spectrum Disorders. Front Genet 2021; 12:665469. [PMID: 34194469 PMCID: PMC8236850 DOI: 10.3389/fgene.2021.665469] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/29/2021] [Indexed: 11/16/2022] Open
Abstract
Autism spectrum disorder (ASD) refers to a wide spectrum of neurodevelopmental disorders that emerge during infancy and continue throughout a lifespan. Although substantial efforts have been made to develop therapeutic approaches, core symptoms persist lifelong in ASD patients. Identifying the brain temporospatial regions where the risk genes are expressed in ASD patients may help to improve the therapeutic strategies. Accordingly, this work aims to predict the risk genes of ASD and identify the temporospatial regions of the brain structures at different developmental time points for exploring the specificity of ASD gene expression in the brain that would help in possible ASD detection in the future. A dataset consisting of 13 developmental stages ranging from 8 weeks post-conception to 8 years from 26 brain structures was retrieved from the BrainSpan atlas. This work proposes a support vector machine–based risk gene prediction method ASD-Risk to distinguish the risk genes of ASD and non-ASD genes. ASD-Risk used an optimal feature selection algorithm called inheritable bi-objective combinatorial genetic algorithm to identify the brain temporospatial regions for prediction of the risk genes of ASD. ASD-Risk achieved a 10-fold cross-validation accuracy, sensitivity, specificity, area under a receiver operating characteristic curve, and a test accuracy of 81.83%, 0.84, 0.79, 0.84, and 72.27%, respectively. We prioritized the temporospatial features according to their contribution to the prediction accuracy. The top identified temporospatial regions of the brain for risk gene prediction included the posteroventral parietal cortex at 13 post-conception weeks feature. The identified temporospatial features would help to explore the risk genes that are specifically expressed in different brain regions of ASD patients.
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Affiliation(s)
- Yenching Lin
- Interdisciplinary Neuroscience Ph.D. Program, National Chiao Tung University, Hsinchu, Taiwan
| | - Srinivasulu Yerukala Sathipati
- Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, WI, United States.,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Shinn-Ying Ho
- Interdisciplinary Neuroscience Ph.D. Program, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Center For Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Chiao Tung University, Hsinchu, Taiwan
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5
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Correction to: The Potential Role of miRNAs as Predictive Biomarkers in Neurodevelopmental Disorders. J Mol Neurosci 2021; 71:1356. [PMID: 33993453 DOI: 10.1007/s12031-021-01854-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Su S, Li M, Wu D, Cao J, Ren X, Tao YX, Zang W. Gene Transcript Alterations in the Spinal Cord, Anterior Cingulate Cortex, and Amygdala in Mice Following Peripheral Nerve Injury. Front Cell Dev Biol 2021; 9:634810. [PMID: 33898422 PMCID: PMC8059771 DOI: 10.3389/fcell.2021.634810] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 03/05/2021] [Indexed: 12/19/2022] Open
Abstract
Chronic neuropathic pain caused by nerve damage is a most common clinical symptom, often accompanied by anxiety- and depression-like symptoms. Current treatments are very limited at least in part due to incompletely understanding mechanisms underlying this disorder. Changes in gene expression in the dorsal root ganglion (DRG) have been acknowledged to implicate in neuropathic pain genesis, but how peripheral nerve injury alters the gene expression in other pain-associated regions remains elusive. The present study carried out strand-specific next-generation RNA sequencing with a higher sequencing depth and observed the changes in whole transcriptomes in the spinal cord (SC), anterior cingulate cortex (ACC), and amygdala (AMY) following unilateral fourth lumbar spinal nerve ligation (SNL). In addition to providing novel transcriptome profiles of long non-coding RNAs (lncRNAs) and mRNAs, we identified pain- and emotion-related differentially expressed genes (DEGs) and revealed that numbers of these DEGs displayed a high correlation to neuroinflammation and apoptosis. Consistently, functional analyses showed that the most significant enriched biological processes of the upregulated mRNAs were involved in the immune system process, apoptotic process, defense response, inflammation response, and sensory perception of pain across three regions. Moreover, the comparisons of pain-, anxiety-, and depression-related DEGs among three regions present a particular molecular map among the spinal cord and supraspinal structures and indicate the region-dependent and region-independent alterations of gene expression after nerve injury. Our study provides a resource for gene transcript expression patterns in three distinct pain-related regions after peripheral nerve injury. Our findings suggest that neuroinflammation and apoptosis are important pathogenic mechanisms underlying neuropathic pain and that some DEGs might be promising therapeutic targets.
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Affiliation(s)
- Songxue Su
- Department of Anatomy, College of Basic Medicine, Zhengzhou University, Zhengzhou, China.,Neuroscience Research Institute, Zhengzhou University Academy of Medical Sciences, Zhengzhou, China
| | - Mengqi Li
- Neuroscience Research Institute, Zhengzhou University Academy of Medical Sciences, Zhengzhou, China.,Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Di Wu
- Department of Bioinformatics, College of Life Sciences, Zhengzhou University, Zhengzhou, China
| | - Jing Cao
- Department of Anatomy, College of Basic Medicine, Zhengzhou University, Zhengzhou, China.,Neuroscience Research Institute, Zhengzhou University Academy of Medical Sciences, Zhengzhou, China
| | - Xiuhua Ren
- Department of Anatomy, College of Basic Medicine, Zhengzhou University, Zhengzhou, China.,Neuroscience Research Institute, Zhengzhou University Academy of Medical Sciences, Zhengzhou, China
| | - Yuan-Xiang Tao
- Department of Anesthesiology, Rutgers New Jersey Medical School, The State University of New Jersey, Newark, NJ, United States
| | - Weidong Zang
- Department of Anatomy, College of Basic Medicine, Zhengzhou University, Zhengzhou, China.,Neuroscience Research Institute, Zhengzhou University Academy of Medical Sciences, Zhengzhou, China
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Juvale IIA, Che Has AT. The Potential Role of miRNAs as Predictive Biomarkers in Neurodevelopmental Disorders. J Mol Neurosci 2021; 71:1338-1355. [PMID: 33774758 DOI: 10.1007/s12031-021-01825-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/02/2021] [Indexed: 12/22/2022]
Abstract
Neurodevelopmental disorders are defined as a set of abnormal brain developmental conditions marked by the early childhood onset of cognitive, behavioral, and functional deficits leading to memory and learning problems, emotional instability, and impulsivity. Autism spectrum disorder, attention-deficit/hyperactivity disorder, Tourette syndrome, fragile X syndrome, and Down's syndrome are a few known examples of neurodevelopmental disorders. Although they are relatively common in both developed and developing countries, very little is currently known about their underlying molecular mechanisms. Both genetic and environmental factors are known to increase the risk of neurodevelopmental disorders. Current diagnostic and screening tests for neurodevelopmental disorders are not reliable; hence, individuals with neurodevelopmental disorders are often diagnosed in the later stages. This negatively affects their prognosis and quality of life, prompting the need for a better diagnostic biomarker. Recent studies on microRNAs and their altered regulation in diseases have shed some light on the possible role they could play in the development of the central nervous system. This review attempts to elucidate our current understanding of the role that microRNAs play in neurodevelopmental disorders with the hope of utilizing them as potential biomarkers in the future.
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Affiliation(s)
- Iman Imtiyaz Ahmed Juvale
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Ahmad Tarmizi Che Has
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.
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Afridi R, Seol S, Kang HJ, Suk K. Brain-immune interactions in neuropsychiatric disorders: Lessons from transcriptome studies for molecular targeting. Biochem Pharmacol 2021; 188:114532. [PMID: 33773976 DOI: 10.1016/j.bcp.2021.114532] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/18/2021] [Accepted: 03/18/2021] [Indexed: 12/12/2022]
Abstract
Understanding the pathophysiological mechanisms of neuropsychiatric disorders has been a challenging quest for neurobiologists. Recent years have witnessed enormous technological advances in the field of neuroimmunology, blurring boundaries between the central nervous system and the periphery. Consequently, the discipline has expanded to cover interactions between the nervous and immune systems in health and diseases. The complex interplay between the peripheral and central immune pathways in neuropsychiatric disorders has recently been documented in various studies, but the genetic determinants remain elusive. Recent transcriptome studies have identified dysregulated genes involved in peripheral immune cell activation, blood-brain barrier integrity, glial cell activation, and synaptic plasticity in major depressive disorder, bipolar disorder, autism spectrum disorder, and schizophrenia. Herein, the key transcriptomic techniques applied in investigating differentially expressed genes and pathways responsible for altered brain-immune interactions in neuropsychiatric disorders are discussed. The application of transcriptomics that can aid in identifying molecular targets in various neuropsychiatric disorders is highlighted.
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Affiliation(s)
- Ruqayya Afridi
- Department of Pharmacology, Brain Science & Engineering Institute, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Sihwan Seol
- Department of Life Science, Chung-Ang University, Seoul, Republic of Korea
| | - Hyo Jung Kang
- Department of Life Science, Chung-Ang University, Seoul, Republic of Korea.
| | - Kyoungho Suk
- Department of Pharmacology, Brain Science & Engineering Institute, BK21 Plus KNU Biomedical Convergence Program, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
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9
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Sciara AN, Beasley B, Crawford JD, Anderson EP, Carrasco T, Zheng S, Ordway GA, Chandley MJ. Neuroinflammatory Gene Expression Alterations in Anterior Cingulate Cortical White and Gray Matter of Males With Autism Spectrum Disorder. Autism Res 2020; 13:870-884. [PMID: 32129578 PMCID: PMC7540672 DOI: 10.1002/aur.2284] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 01/26/2020] [Accepted: 02/17/2020] [Indexed: 02/06/2023]
Abstract
Evidence for putative pathophysiological mechanisms of autism spectrum disorder (ASD), including peripheral inflammation, blood-brain barrier disruption, white matter alterations, and abnormal synaptic overgrowth, indicate a possible involvement of neuroinflammation in the disorder. Neuroinflammation plays a role in the development and maintenance of the dendritic spines involved in glutamatergic and GABAergic neurotransmission, and also influences blood-brain permeability. Cytokines released from microglia can impact the length, location or organization of dendritic spines on excitatory and inhibitory cells as well as recruit and impact glial cell function around the neurons. In this study, gene expression levels of anti- and pro-inflammatory signaling molecules, as well as oligodendrocyte and astrocyte marker proteins, were measured in both gray and white matter tissue in the anterior cingulate cortex from ASD and age-matched typically developing (TD) control brain donors, ranging from ages 4 to 37 years. Expression levels of the pro-inflammatory gene, HLA-DR, were significantly reduced in gray matter and expression levels of the anti-inflammatory gene MRC1 were significantly elevated in white matter from ASD donors as compared to TD donors, but neither retained statistical significance after correction for multiple comparisons. Modest trends toward differences in expression levels were also observed for the pro-inflammatory (CD68, IL1β) and anti-inflammatory genes (IGF1, IGF1R) comparing ASD donors to TD donors. The direction of gene expression changes comparing ASD to TD donors did not reveal consistent findings implicating an elevated pro- or anti-inflammatory state in ASD. However, altered expression of pro- and anti-inflammatory gene expression indicates some involvement of neuroinflammation in ASD. Autism Res 2020, 13: 870-884. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The anterior cingulate cortex is an integral brain region in modulating social behaviors including nonverbal communication. The study found that inflammatory gene expression levels were altered in this brain region. We hypothesize that the inflammatory changes in this area could impact neuronal function. The finding has future implications in using these molecular markers to identify potential environmental exposures and distinct cell differences in autism.
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Affiliation(s)
- Aubrey N. Sciara
- Department of Biological SciencesEast Tennessee State UniversityJohnson CityTennessee
| | - Brooke Beasley
- Department of Health SciencesEast Tennessee State UniversityJohnson CityTN
| | - Jessica D. Crawford
- Department of Biomedical SciencesEast Tennessee State UniversityJohnson CityTN
| | - Emma P. Anderson
- Department of Health SciencesEast Tennessee State UniversityJohnson CityTN
| | - Tiffani Carrasco
- Department of Health SciencesEast Tennessee State UniversityJohnson CityTN
| | - Shimin Zheng
- Department of Biostatistics and EpidemiologyEast Tennessee State UniversityJohnson CityTN
| | - Gregory A. Ordway
- Department of Biomedical SciencesEast Tennessee State UniversityJohnson CityTN
- Department of Psychiatry and Behavioral SciencesEast Tennessee State University, Johnson CityJohnson CityTN
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Gley K, Murani E, Haack F, Trakooljul N, Zebunke M, Puppe B, Wimmers K, Ponsuksili S. Haplotypes of coping behavior associated QTL regions reveal distinct transcript profiles in amygdala and hippocampus. Behav Brain Res 2019; 372:112038. [PMID: 31202863 DOI: 10.1016/j.bbr.2019.112038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 06/06/2019] [Accepted: 06/12/2019] [Indexed: 12/15/2022]
Abstract
Stress response and coping behavior in pigs are largely shaped by hypothalamic-pituitary-adrenal axis and sympatho-adrenomedullary system action. However, the dynamic interaction between amygdala and hippocampus crucially modulates the behavioral response towards significant emotional events. While this functional relationship is well documented, the molecular underpinnings still remain insufficiently understood. Our study used transcriptome profiling of porcine amygdala and hippocampus to identify molecular pathways that are differentially activated depending on the haplotype of a significantly coping behavior-associated region on pig chromosome 12 (SSC12). The pigs were classified into two groups based on the haplotype information of this QTL-region discovered in our previous genome-wide association study. Ten each of high- (HR) and low- (LR) reactive pigs (n = 20) were selected for differential gene expression analysis and weighted gene co-expression analysis with subsequent pathway analysis. Differentially expressed genes identified in the amygdala include SELL, CXCR7 and NTS, while TRAF3, PTGS2 and CFI were detected in the hippocampus indicating a role of neuroinflammation and immunological processes. Pathway analysis revealed IL-8 signaling, NF-κB signaling, glutamate and GABA metabolism, glucocorticoid receptor signaling and chemokine signaling in the amygdala and ephrin receptor signaling, as well as NF-κB signaling in the hippocampus. We discovered candidate genes in regions detected by genome-wide association study including ARRB2, ADRBK2, THRB, NEK7 and ACVR2B, which relate to dopaminergic and other monoaminergic neurotransmitter systems, neuroimmunomodulation, neuroinflammation and GABA-ergic neurotransmission. These findings provide insights into the molecular underpinning of divergent coping behavior and associated haplotypes in limbic forebrain system in pig.
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Affiliation(s)
- Kevin Gley
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany
| | - Eduard Murani
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany
| | - Fiete Haack
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany
| | - Nares Trakooljul
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany
| | - Manuela Zebunke
- Leibniz Institute of Farm Animal Biology (FBN), Institute of Genetics and Biometry, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany; Leibniz Institute of Farm Animal Biology (FBN), Institute for Behavioral Physiology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
| | - Birger Puppe
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Behavioral Physiology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
| | - Klaus Wimmers
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany
| | - Siriluck Ponsuksili
- Leibniz Institute of Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany.
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11
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Transglutaminase 2 Induces Deficits in Social Behavior in Mice. Neural Plast 2018; 2018:2019091. [PMID: 30647729 PMCID: PMC6311865 DOI: 10.1155/2018/2019091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 08/08/2018] [Accepted: 10/11/2018] [Indexed: 11/18/2022] Open
Abstract
Impairments in social behavior are highly implicated in many neuropsychiatric disorders. Recent studies indicate a role for endoplasmic reticulum (ER) stress in altering social behavior, but the underlying mechanism is not known. In the present study, we examined the role of transglutaminase 2 (TG2), a calcium-dependent enzyme known to be induced following ER stress, in social behavior in mice. ER stress induced by tunicamycin administration increased TG2 protein levels in the mouse prefrontal cortex (PFC). PFC-specific inhibition of TG2 attenuated ER stress-induced deficits in social behavior. Conversely, overexpression of TG2 in the PFC resulted in social behavior impairments in mice. In addition, systemic administration of cysteamine, a TG2 inhibitor, attenuated social behavior deficits. Our preliminary findings using postmortem human brain samples found increases in TG2 mRNA and protein levels in the middle frontal gyrus of subjects with autism spectrum disorder. These findings in mice and human postmortem brain samples identify changes in TG2 activity in the possible dysregulation of social behavior.
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12
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Fan X, Dong J, Zhong S, Wei Y, Wu Q, Yan L, Yong J, Sun L, Wang X, Zhao Y, Wang W, Yan J, Wang X, Qiao J, Tang F. Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis. Cell Res 2018; 28:730-745. [PMID: 29867213 PMCID: PMC6028726 DOI: 10.1038/s41422-018-0053-3] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 04/09/2018] [Accepted: 05/02/2018] [Indexed: 01/07/2023] Open
Abstract
The cellular complexity of human brain development has been intensively investigated, although a regional characterization of the entire human cerebral cortex based on single-cell transcriptome analysis has not been reported. Here, we performed RNA-seq on over 4,000 individual cells from 22 brain regions of human mid-gestation embryos. We identified 29 cell sub-clusters, which showed different proportions in each region and the pons showed especially high percentage of astrocytes. Embryonic neurons were not as diverse as adult neurons, although they possessed important features of their destinies in adults. Neuron development was unsynchronized in the cerebral cortex, as dorsal regions appeared to be more mature than ventral regions at this stage. Region-specific genes were comprehensively identified in each neuronal sub-cluster, and a large proportion of these genes were neural disease related. Our results present a systematic landscape of the regionalized gene expression and neuron maturation of the human cerebral cortex.
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Affiliation(s)
- Xiaoying Fan
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Biomedical Institute for Pioneering Investigation via Convergence and Center for Reproductive Medicine, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, 100871, China
| | - Ji Dong
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Biomedical Institute for Pioneering Investigation via Convergence and Center for Reproductive Medicine, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, 100871, China
| | - Suijuan Zhong
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Shanghai Center for Brain Science and Intelligence Technology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuan Wei
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Qian Wu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Shanghai Center for Brain Science and Intelligence Technology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Liying Yan
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Jun Yong
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Le Sun
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Shanghai Center for Brain Science and Intelligence Technology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiaoye Wang
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Yangyu Zhao
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Wei Wang
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Jie Yan
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China
| | - Xiaoqun Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology; Institute of Brain-Intelligence Science and Technology Zhangjiang Laboratory (Shanghai), Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,Shanghai Center for Brain Science and Intelligence Technology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. .,Beijing Institute for Brain Disorders, Beijing, 100069, China.
| | - Jie Qiao
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China. .,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China. .,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191, China. .,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| | - Fuchou Tang
- Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China. .,Biomedical Institute for Pioneering Investigation via Convergence and Center for Reproductive Medicine, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing, 100871, China. .,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
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13
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Ledda F, Paratcha G. Mechanisms regulating dendritic arbor patterning. Cell Mol Life Sci 2017; 74:4511-4537. [PMID: 28735442 PMCID: PMC11107629 DOI: 10.1007/s00018-017-2588-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Revised: 06/14/2017] [Accepted: 07/06/2017] [Indexed: 12/17/2022]
Abstract
The nervous system is populated by diverse types of neurons, each of which has dendritic trees with strikingly different morphologies. These neuron-specific morphologies determine how dendritic trees integrate thousands of synaptic inputs to generate different firing properties. To ensure proper neuronal function and connectivity, it is necessary that dendrite patterns are precisely controlled and coordinated with synaptic activity. Here, we summarize the molecular and cellular mechanisms that regulate the formation of cell type-specific dendrite patterns during development. We focus on different aspects of vertebrate dendrite patterning that are particularly important in determining the neuronal function; such as the shape, branching, orientation and size of the arbors as well as the development of dendritic spine protrusions that receive excitatory inputs and compartmentalize postsynaptic responses. Additionally, we briefly comment on the implications of aberrant dendritic morphology for nervous system disease.
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Affiliation(s)
- Fernanda Ledda
- Division of Molecular and Cellular Neuroscience, Institute of Cell Biology and Neuroscience (IBCN)-CONICET, School of Medicine, University of Buenos Aires (UBA), Paraguay 2155, 3rd Floor, CABA, 1121, Buenos Aires, Argentina
| | - Gustavo Paratcha
- Division of Molecular and Cellular Neuroscience, Institute of Cell Biology and Neuroscience (IBCN)-CONICET, School of Medicine, University of Buenos Aires (UBA), Paraguay 2155, 3rd Floor, CABA, 1121, Buenos Aires, Argentina.
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14
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Crowe EP, Tuzer F, Gregory BD, Donahue G, Gosai SJ, Cohen J, Leung YY, Yetkin E, Nativio R, Wang LS, Sell C, Bonini NM, Berger SL, Johnson FB, Torres C. Changes in the Transcriptome of Human Astrocytes Accompanying Oxidative Stress-Induced Senescence. Front Aging Neurosci 2016; 8:208. [PMID: 27630559 PMCID: PMC5005348 DOI: 10.3389/fnagi.2016.00208] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 08/15/2016] [Indexed: 01/23/2023] Open
Abstract
Aging is a major risk factor for many neurodegenerative disorders. A key feature of aging biology that may underlie these diseases is cellular senescence. Senescent cells accumulate in tissues with age, undergo widespread changes in gene expression, and typically demonstrate altered, pro-inflammatory profiles. Astrocyte senescence has been implicated in neurodegenerative disease, and to better understand senescence-associated changes in astrocytes, we investigated changes in their transcriptome using RNA sequencing. Senescence was induced in human fetal astrocytes by transient oxidative stress. Brain-expressed genes, including those involved in neuronal development and differentiation, were downregulated in senescent astrocytes. Remarkably, several genes indicative of astrocytic responses to injury were also downregulated, including glial fibrillary acidic protein and genes involved in the processing and presentation of antigens by major histocompatibility complex class II proteins, while pro-inflammatory genes were upregulated. Overall, our findings suggest that senescence-related changes in the function of astrocytes may impact the pathogenesis of age-related brain disorders.
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Affiliation(s)
- Elizabeth P Crowe
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
| | - Ferit Tuzer
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
| | - Brian D Gregory
- Department of Biology, Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia PA, USA
| | - Greg Donahue
- Epigenetics Program, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Sager J Gosai
- Department of Biology, Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia PA, USA
| | - Justin Cohen
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
| | - Yuk Y Leung
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Emre Yetkin
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
| | - Raffaella Nativio
- Epigenetics Program, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Christian Sell
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
| | - Nancy M Bonini
- Department of Biology, Penn Genome Frontiers Institute, University of Pennsylvania, Philadelphia PA, USA
| | - Shelley L Berger
- Epigenetics Program, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - F Brad Johnson
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA, USA
| | - Claudio Torres
- Department of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia PA, USA
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15
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Ledda F, Paratcha G. Assembly of Neuronal Connectivity by Neurotrophic Factors and Leucine-Rich Repeat Proteins. Front Cell Neurosci 2016; 10:199. [PMID: 27555809 PMCID: PMC4977320 DOI: 10.3389/fncel.2016.00199] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 07/29/2016] [Indexed: 11/13/2022] Open
Abstract
Proper function of the nervous system critically relies on sophisticated neuronal networks interconnected in a highly specific pattern. The architecture of these connections arises from sequential developmental steps such as axonal growth and guidance, dendrite development, target determination, synapse formation and plasticity. Leucine-rich repeat (LRR) transmembrane proteins have been involved in cell-type specific signaling pathways that underlie these developmental processes. The members of this superfamily of proteins execute their functions acting as trans-synaptic cell adhesion molecules involved in target specificity and synapse formation or working in cis as cell-intrinsic modulators of neurotrophic factor receptor trafficking and signaling. In this review, we will focus on novel physiological mechanisms through which LRR proteins regulate neurotrophic factor receptor signaling, highlighting the importance of these modulatory events for proper axonal extension and guidance, tissue innervation and dendrite morphogenesis. Additionally, we discuss few examples linking this set of LRR proteins to neurodevelopmental and psychiatric disorders.
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Affiliation(s)
- Fernanda Ledda
- Division of Molecular and Cellular Neuroscience, Institute of Cell Biology and Neuroscience (IBCN)-CONICET, School of Medicine-University of Buenos Aires (UBA) Buenos Aires, Argentina
| | - Gustavo Paratcha
- Division of Molecular and Cellular Neuroscience, Institute of Cell Biology and Neuroscience (IBCN)-CONICET, School of Medicine-University of Buenos Aires (UBA) Buenos Aires, Argentina
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16
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Zunino G, Messina A, Sgadò P, Baj G, Casarosa S, Bozzi Y. Brain-derived neurotrophic factor signaling is altered in the forebrain of Engrailed-2 knockout mice. Neuroscience 2016; 324:252-61. [PMID: 26987954 DOI: 10.1016/j.neuroscience.2016.03.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 03/07/2016] [Accepted: 03/08/2016] [Indexed: 11/17/2022]
Abstract
Engrailed-2 (En2), a homeodomain transcription factor involved in regionalization and patterning of the midbrain and hindbrain regions has been associated to autism spectrum disorders (ASDs). En2 knockout (En2(-/-)) mice show ASD-like features accompanied by a significant loss of GABAergic subpopulations in the hippocampus and neocortex. Brain-derived neurotrophic factor (BDNF) is a crucial factor for the postnatal development of forebrain GABAergic neurons, and altered GABA signaling has been hypothesized to underlie the symptoms of ASD. Here we sought to determine whether interneuron loss in the En2(-/-) forebrain might be related to altered expression of BDNF and its signaling receptors. We first evaluated the expression of different BDNF mRNA isoforms in the neocortex and hippocampus of wild-type (WT) and En2(-/-) mice. Quantitative RT-PCR showed a marked down-regulation of several splicing variants of BDNF mRNA in the neocortex but not hippocampus of adult En2(-/-) mice, as compared to WT controls. Accordingly, levels of mature BDNF protein were lower in the neocortex but not hippocampus of En2(-/-) mice, as compared to WT. Increased levels of phosphorylated TrkB and decreased levels of p75 receptor were also detected in the neocortex of mutant mice. Accordingly, the expression of low density lipoprotein receptor (LDLR) and RhoA, two genes regulated via p75 was significantly altered in forebrain areas of mutant mice. These data indicate that BDNF signaling alterations might be involved in the anatomical changes observed in the En2(-/-) forebrain and suggest a pathogenic role of altered BDNF signaling in this mouse model of ASD.
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Affiliation(s)
- G Zunino
- Laboratory of Molecular Neuropathology, Centre for Integrative Biology, University of Trento, Italy
| | - A Messina
- Laboratory of Developmental Neurobiology, Centre for Integrative Biology, University of Trento, Italy
| | - P Sgadò
- Laboratory of Molecular Neuropathology, Centre for Integrative Biology, University of Trento, Italy
| | - G Baj
- Laboratory of Cellular and Developmental Neurobiology, Department of Life Sciences, University of Trieste, Italy
| | - S Casarosa
- Laboratory of Developmental Neurobiology, Centre for Integrative Biology, University of Trento, Italy; CNR Institute of Neuroscience, CNR, Pisa, Italy
| | - Y Bozzi
- Laboratory of Molecular Neuropathology, Centre for Integrative Biology, University of Trento, Italy; CNR Institute of Neuroscience, CNR, Pisa, Italy.
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17
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Soh YQ, Peh GSL, Mehta JS. Translational issues for human corneal endothelial tissue engineering. J Tissue Eng Regen Med 2016; 11:2425-2442. [DOI: 10.1002/term.2131] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Revised: 11/19/2015] [Accepted: 12/10/2015] [Indexed: 12/13/2022]
Affiliation(s)
- Yu Qiang Soh
- Tissue Engineering and Stem Cell Group; Singapore Eye Research Institute; Singapore
- Singapore National Eye Centre; Singapore
| | - Gary S. L. Peh
- Tissue Engineering and Stem Cell Group; Singapore Eye Research Institute; Singapore
- Ophthalmology Academic Clinical Programme; Duke-NUS Graduate Medical School; Singapore
| | - Jodhbir S. Mehta
- Tissue Engineering and Stem Cell Group; Singapore Eye Research Institute; Singapore
- Singapore National Eye Centre; Singapore
- Ophthalmology Academic Clinical Programme; Duke-NUS Graduate Medical School; Singapore
- Department of Clinical Sciences; Duke-NUS Graduate Medical School; Singapore
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18
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Chandley MJ, Crawford JD, Szebeni A, Szebeni K, Ordway GA. Erratum to: NTRK2 expression levels are reduced in laser captured pyramidal neurons from the anterior cingulate cortex in males with autism spectrum disorder. Mol Autism 2015; 6:38. [PMID: 26097675 PMCID: PMC4473840 DOI: 10.1186/s13229-015-0033-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Accepted: 06/09/2015] [Indexed: 11/30/2022] Open
Affiliation(s)
- Michelle J Chandley
- Department of Health Sciences, College of Public Health, East Tennessee State University, P.O. Box 70673, Johnson City, TN 37614 USA
| | - Jessica D Crawford
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, P.O. Box 70582, Johnson City, TN 37614 USA
| | - Attila Szebeni
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, P.O. Box 70582, Johnson City, TN 37614 USA
| | - Katalin Szebeni
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, P.O. Box 70582, Johnson City, TN 37614 USA
| | - Gregory A Ordway
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, P.O. Box 70582, Johnson City, TN 37614 USA
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