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Braz CU, Passamonti MM, Khatib H. Characterization of genomic regions escaping epigenetic reprogramming in sheep. ENVIRONMENTAL EPIGENETICS 2023; 10:dvad010. [PMID: 38496251 PMCID: PMC10944287 DOI: 10.1093/eep/dvad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/04/2023] [Accepted: 12/15/2023] [Indexed: 03/19/2024]
Abstract
The mammalian genome undergoes two global epigenetic reprogramming events during the establishment of primordial germ cells and in the pre-implantation embryo after fertilization. These events involve the erasure and re-establishment of DNA methylation marks. However, imprinted genes and transposable elements (TEs) maintain their DNA methylation signatures to ensure normal embryonic development and genome stability. Despite extensive research in mice and humans, there is limited knowledge regarding environmentally induced epigenetic marks that escape epigenetic reprogramming in other species. Therefore, the objective of this study was to examine the characteristics and locations of genomic regions that evade epigenetic reprogramming in sheep, as well as to explore the biological functions of the genes within these regions. In a previous study, we identified 107 transgenerationally inherited differentially methylated cytosines (DMCs) in the F1 and F2 generations in response to a paternal methionine-supplemented diet. These DMCs were found in TEs, non-repetitive regions, and imprinted and non-imprinted genes. Our findings suggest that genomic regions, rather than TEs and imprinted genes, have the propensity to escape reprogramming and serve as potential candidates for transgenerational epigenetic inheritance. Notably, 34 transgenerational methylated genes influenced by paternal nutrition escaped reprogramming, impacting growth, development, male fertility, cardiac disorders, and neurodevelopment. Intriguingly, among these genes, 21 have been associated with neural development and brain disorders, such as autism, schizophrenia, bipolar disease, and intellectual disability. This suggests a potential genetic overlap between brain and infertility disorders. Overall, our study supports the concept of transgenerational epigenetic inheritance of environmentally induced marks in mammals.
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Affiliation(s)
- Camila U Braz
- Department of Animal Sciences, University of Illinois Urbana–Champaign, Urbana, IL 61801, USA
| | - Matilde Maria Passamonti
- Department of Animal Science, Food and Nutrition, Universit’a Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, University of Wisconsin–Madison, Madison, WI 53706, USA
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Dutta N, Saha S, Chatterjee M, Sinha S, Mukhopadhyay K. LRRTM3 Genetic Variations, rs1925575, and rs1925608 Contributed to Autism Spectrum Disorder Trait Severity: An Observation in The Indian Probands. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE 2023; 12:350-360. [PMID: 39006200 PMCID: PMC11240053 DOI: 10.22088/ijmcm.bums.12.4.350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 07/16/2024]
Abstract
Surface proteins containing leucine-rich repeat (LRR) are essential for the formation of synapses. Therefore, proteins containing aberrant LRR regions are speculated to cause synaptic dysfunction, an abnormality often associated with Autism spectrum disorder (ASD). LRR transmembrane 3 (LRRTM3) genetic variants showed association with ASD in the Caucasoid probands. We for the first time, analyzed two LRRTM3 genetic variants, rs1925575, and rs1925608, in Indian subjects (N=1048), including ASD probands (N=270), their parents (N=428), and healthy controls (N=350). ASD severity was assessed by the Childhood Autism Rating Scale2-standard test (CARS2-ST). Peripheral blood was collected after obtaining informed written consent for participation, and target sites were amplified by polymerase chain reaction using genomic DNA. Amplicons generated were subjected to differential digestion using a restriction enzyme, and the genotype data were analyzed for association with ASD by both population and family-based methods. Frequencies of rs1925608 and rs1925575 "CC" genotypes and C-C haplotype were higher in the probands (P=0.001). Analysis of parental data revealed a higher frequency of rs1925575 "T" in the fathers (P=0.01) and biased paternal transmission of rs1925575 "C" allele (P=0.03). The "Activity level" was higher in the ASD probands having rs1925608 "CC". Additionally, the score for "Relating to people" was higher in the presence of rs1925575 "TC" genotypes. The gender-based stratified analysis revealed the influence of the variants on a higher number of traits of the female probands. This pilot investigation indicated an influence of LRRTM3 genetic variants on the trait severity of Indian ASD probands.
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Affiliation(s)
- Nilanjana Dutta
- Manovikas Biomedical Research and Diagnostic Centre, Manovikas Kendra, 482 Madudah, Plot I-24, Sector J, EM Bypass, Kolkata, West Bengal 700107, India
| | - Sharmistha Saha
- Manovikas Biomedical Research and Diagnostic Centre, Manovikas Kendra, 482 Madudah, Plot I-24, Sector J, EM Bypass, Kolkata, West Bengal 700107, India
| | - Mahasweta Chatterjee
- Manovikas Biomedical Research and Diagnostic Centre, Manovikas Kendra, 482 Madudah, Plot I-24, Sector J, EM Bypass, Kolkata, West Bengal 700107, India
| | - Swagata Sinha
- Manovikas Biomedical Research and Diagnostic Centre, Manovikas Kendra, 482 Madudah, Plot I-24, Sector J, EM Bypass, Kolkata, West Bengal 700107, India
| | - Kanchan Mukhopadhyay
- Manovikas Biomedical Research and Diagnostic Centre, Manovikas Kendra, 482 Madudah, Plot I-24, Sector J, EM Bypass, Kolkata, West Bengal 700107, India
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3
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Weng A, Rabin EE, Flozak AS, Chiarella SE, Aillon RP, Gottardi CJ. Alpha-T-catenin is expressed in peripheral nerves as a constituent of Schwann cell adherens junctions. Biol Open 2022; 11:bio059634. [PMID: 36420826 PMCID: PMC9793867 DOI: 10.1242/bio.059634] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/16/2022] [Indexed: 11/26/2022] Open
Abstract
The adherens junction component, alpha-T-catenin (αTcat) is an established contributor to cardiomyocyte junction structure and function, but recent genomic studies link CTNNA3 polymorphisms to diseases with no clear cardiac underpinning, including asthma, autism and multiple sclerosis, suggesting causal contributions from a different cell-type. We show Ctnna3 mRNA is highly expressed in peripheral nerves (e.g. vagus and sciatic), where αTcat protein enriches at paranodes and myelin incisure adherens junctions of Schwann cells. We validate αTcat immunodetection specificity using a new Ctnna3-knock-out fluorescence reporter mouse line yet find no obvious Schwann cell loss-of-function morphology at the light microscopic level. CTNNA3/Ctnna3 mRNA is also abundantly detected in oligodendrocytes of the central nervous system via public databases, supporting a general role for αTcat in these unique cell-cell junctions. These data suggest that the wide range of diseases linked to CTNNA3 may be through its role in maintaining neuroglial functions of central and peripheral nervous systems. This article has a corresponding First Person interview with the co-first authors of the paper.
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Affiliation(s)
- Anthea Weng
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Erik E. Rabin
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Annette S. Flozak
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sergio E. Chiarella
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
- Mayo Clinic, Rochester, MN 55902, USA
| | - Raul Piseaux Aillon
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Cara J. Gottardi
- Department of Pulmonary Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
- Cell & Developmental Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
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4
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Zhang Y. SPATA33 affects the formation of cell adhesion complex by interacting with CTNNA3 in TM4 cells. Cell Tissue Res 2022; 389:145-157. [PMID: 35536443 DOI: 10.1007/s00441-022-03631-y] [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: 12/24/2021] [Accepted: 04/26/2022] [Indexed: 11/25/2022]
Abstract
Communication between Sertoli cell is essential during spermatogenesis and testicular development in mice, and the dynamic balance of this communication is regulated by some adhesion proteins. In this study, we found that SPATA33 and CTNNA3 were involved in this process. Quantitative real-time PCR and western blotting showed similar trend of expression of two proteins in the testis of mice of different ages. Subsequently, CRISPR-Cas9 technique was used to prepare Spata33 knockout cell lines with TM4 cells, cell wound scratch assay showed that Spata33 gene knockout affected cell migration, and flow cytometry assay showed that Spata33 knockout resulted in a decreased percentage of G1 phase cells in TM4 cell line. In addition, phalloidin staining assay showed that Spata33 gene knockout disrupted the formation of F-actin. Moreover, the protein immunoprecipitation experiment showed the interaction between SPATA33 and CTNNA3, which affected the interaction between CTNNA3 and CTNNB1. SPATA33 inhibits the formation of CDH1-CTNNB1-CTNNA3 complex through its interaction with CTNNA3, thus weakening adhesion between Sertoli cell and promoting cell migration.
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Affiliation(s)
- Ying Zhang
- Luoyang Normal University, Luoyang, 471934, Henan, China.
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Cheng S, Wen Y, Liu L, Cheng B, Liang C, Ye J, Chu X, Yao Y, Jia Y, Kafle OP, Zhang F. Traumatic events during childhood and its risks to substance use in adulthood: an observational and genome-wide by environment interaction study in UK Biobank. Transl Psychiatry 2021; 11:431. [PMID: 34417442 PMCID: PMC8379203 DOI: 10.1038/s41398-021-01557-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/13/2021] [Accepted: 07/22/2021] [Indexed: 12/15/2022] Open
Abstract
We aimed to explore the underlying genetic mechanisms of traumatic events during childhood affecting the risks of adult substance use in present study. Using UK Biobank cohort, linear regression model was first applied to assess the relationships between cigarette smoking and alcohol drinking in adults with traumatic events during childhood, including felt hated by family member (41,648-111,465), felt loved (46,394-124,481) and sexually molested (47,598-127,766). Using traumatic events as exposure variables, genome-wide by environment interaction study was then performed by PLINK 2.0 to identify cigarette smoking and alcohol drinking associated genes interacting with traumatic events during childhood. We found that the frequency of cigarette smoking was significantly associated with felt hated by family member (coefficient = 0.42, P < 1.0 × 10-9), felt loved (coefficient = -0.31, P < 1.0 × 10-9) and sexually molested (coefficient = 0.46, P < 1.0 × 10-9). We also observed weaker associations of alcohol drinking with felt hated by family member (coefficient = 0.08, P = 3.10 × 10-6) and felt loved (coefficient = -0.06, P = 3.15 × 10-7). GWEIS identified multiple candidate loci interacting with traumatic events, such as CTNNA3 (rs189142060, P = 4.23 × 10-8) between felt hated by family member and the frequency of cigarette smoking, GABRG3 (rs117020886, P = 2.77 × 10-8) between felt hated by family member and the frequency of alcohol drinking. Our results suggested the significant impact of traumatic events during childhood on the risk of cigarette smoking and alcohol drinking.
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Affiliation(s)
- Shiqiang Cheng
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Yan Wen
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Li Liu
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Bolun Cheng
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Chujun Liang
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Jing Ye
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Xiaomeng Chu
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Yao Yao
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Yumeng Jia
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Om Prakash Kafle
- grid.43169.390000 0001 0599 1243Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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Heier JA, Pokutta S, Dale IW, Kim SK, Hinck AP, Weis WI, Kwiatkowski AV. Distinct intramolecular interactions regulate autoinhibition of vinculin binding in αT-catenin and αE-catenin. J Biol Chem 2021; 296:100582. [PMID: 33771561 PMCID: PMC8091058 DOI: 10.1016/j.jbc.2021.100582] [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: 10/24/2020] [Revised: 03/16/2021] [Accepted: 03/22/2021] [Indexed: 12/24/2022] Open
Abstract
α-Catenin binds directly to β-catenin and connects the cadherin–catenin complex to the actin cytoskeleton. Tension regulates α-catenin conformation. Actomyosin-generated force stretches the middle (M)-region to relieve autoinhibition and reveal a binding site for the actin-binding protein vinculin. It is not known whether the intramolecular interactions that regulate epithelial (αE)-catenin binding are conserved across the α-catenin family. Here, we describe the biochemical properties of testes (αT)-catenin, an α-catenin isoform critical for cardiac function and how intramolecular interactions regulate vinculin-binding autoinhibition. Isothermal titration calorimetry showed that αT-catenin binds the β-catenin–N-cadherin complex with a similar low nanomolar affinity to that of αE-catenin. Limited proteolysis revealed that the αT-catenin M-region adopts a more open conformation than αE-catenin. The αT-catenin M-region binds the vinculin N-terminus with low nanomolar affinity, indicating that the isolated αT-catenin M-region is not autoinhibited and thereby distinct from αE-catenin. However, the αT-catenin head (N- and M-regions) binds vinculin 1000-fold more weakly (low micromolar affinity), indicating that the N-terminus regulates the M-region binding to vinculin. In cells, αT-catenin recruitment of vinculin to cell–cell contacts requires the actin-binding domain and actomyosin-generated tension, indicating that force regulates vinculin binding. Together, our results show that the αT-catenin N-terminus is required to maintain M-region autoinhibition and modulate vinculin binding. We postulate that the unique molecular properties of αT-catenin allow it to function as a scaffold for building specific adhesion complexes.
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Affiliation(s)
- Jonathon A Heier
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sabine Pokutta
- Department of Structural Biology, Stanford University, Stanford, California, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, California, USA
| | - Ian W Dale
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sun Kyung Kim
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh Pennsylvania, USA
| | - Andrew P Hinck
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh Pennsylvania, USA
| | - William I Weis
- Department of Structural Biology, Stanford University, Stanford, California, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, California, USA
| | - Adam V Kwiatkowski
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
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Huang ZX, Chen Y, Guo HR, Chen GF. Systematic Review and Bioinformatic Analysis of microRNA Expression in Autism Spectrum Disorder Identifies Pathways Associated With Cancer, Metabolism, Cell Signaling, and Cell Adhesion. Front Psychiatry 2021; 12:630876. [PMID: 34744804 PMCID: PMC8566729 DOI: 10.3389/fpsyt.2021.630876] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 08/31/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Previous studies have identified differentially expressed microRNAs in autism spectrum disorder (ASD), however, results are discrepant. We aimed to systematically review this topic and perform bioinformatic analysis to identify genes and pathways associated with ASD miRNAs. Methods: Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses, we searched the Web of Science, PubMed, Embase, Scopus, and OVID databases to identify all studies comparing microRNA expressions between ASD persons and non-ASD controls on May 11, 2020. We obtained ASD miRNA targets validated by experimental assays from miRTarBase and performed pathway enrichment analysis using Metascape and DIANA-miRPath v3. 0. Results: Thirty-four studies were included in the systematic review. Among 285 altered miRNAs reported in these studies, 15 were consistently upregulated, 14 were consistently downregulated, and 39 were inconsistently dysregulated. The most frequently altered miRNAs including miR-23a-3p, miR-106b-5p, miR-146a-5p, miR-7-5p, miR-27a-3p, miR-181b-5p, miR-486-3p, and miR-451a. Subgroup analysis of tissues showed that miR-146a-5p, miR-155-5p, miR-1277-3p, miR-21-3p, miR-106b-5p, and miR-451a were consistently upregulated in brain tissues, while miR-4742-3p was consistently downregulated; miR-23b-3p, miR-483-5p, and miR-23a-3p were consistently upregulated in blood samples, while miR-15a-5p, miR-193a-5p, miR-20a-5p, miR-574-3p, miR-92a-3p, miR-3135a, and miR-103a-3p were consistently downregulated; miR-7-5p was consistently upregulated in saliva, miR-23a-3p and miR-32-5p were consistently downregulated. The altered ASD miRNAs identified in at least two independent studies were validated to target many autism risk genes. TNRC6B, PTEN, AGO1, SKI, and SMAD4 were the most frequent targets, and miR-92a-3p had the most target autism risk genes. Pathway enrichment analysis showed that ASD miRNAs are significantly involved in pathways associated with cancer, metabolism (notably Steroid biosynthesis, Fatty acid metabolism, Fatty acid biosynthesis, Lysine degradation, Biotin metabolism), cell cycle, cell signaling (especially Hippo, FoxO, TGF-beta, p53, Thyroid hormone, and Estrogen signaling pathway), adherens junction, extracellular matrix-receptor interaction, and Prion diseases. Conclusions: Altered miRNAs in ASD target autism risk genes and are involved in various ASD-related pathways, some of which are understudied and require further investigation.
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Affiliation(s)
- Zhi-Xiong Huang
- Department of Pediatrics, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yanhui Chen
- Department of Pediatrics, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hong-Ru Guo
- Department of Pediatrics, Fujian Medical University Union Hospital, Fuzhou, China
| | - Guo-Feng Chen
- Department of Pediatrics, Fujian Medical University Union Hospital, Fuzhou, China
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Harich B, van der Voet M, Klein M, Čížek P, Fenckova M, Schenck A, Franke B. From Rare Copy Number Variants to Biological Processes in ADHD. Am J Psychiatry 2020; 177:855-866. [PMID: 32600152 DOI: 10.1176/appi.ajp.2020.19090923] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Attention deficit hyperactivity disorder (ADHD) is a highly heritable psychiatric disorder. The objective of this study was to define ADHD-associated candidate genes and their associated molecular modules and biological themes, based on the analysis of rare genetic variants. METHODS The authors combined data from 11 published copy number variation studies in 6,176 individuals with ADHD and 25,026 control subjects and prioritized genes by applying an integrative strategy based on criteria including recurrence in individuals with ADHD, absence in control subjects, complete coverage in copy number gains, and presence in the minimal region common to overlapping copy number variants (CNVs), as well as on protein-protein interactions and information from cross-species genotype-phenotype annotation. RESULTS The authors localized 2,241 eligible genes in the 1,532 reported CNVs, of which they classified 432 as high-priority ADHD candidate genes. The high-priority ADHD candidate genes were significantly coexpressed in the brain. A network of 66 genes was supported by ADHD-relevant phenotypes in the cross-species database. Four significantly interconnected protein modules were found among the high-priority ADHD genes. A total of 26 genes were observed across all applied bioinformatic methods. Lookup in the latest genome-wide association study for ADHD showed that among those 26 genes, POLR3C and RBFOX1 were also supported by common genetic variants. CONCLUSIONS Integration of a stringent filtering procedure in CNV studies with suitable bioinformatics approaches can identify ADHD candidate genes at increased levels of credibility. The authors' analytic pipeline provides additional insight into the molecular mechanisms underlying ADHD and allows prioritization of genes for functional validation in validated model organisms.
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Affiliation(s)
- Benjamin Harich
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Monique van der Voet
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Marieke Klein
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Pavel Čížek
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Michaela Fenckova
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Annette Schenck
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
| | - Barbara Franke
- Department of Human Genetics (Harich, van der Voet, Klein, Fenckova, Schenck, Franke) and Department of Psychiatry (Franke), Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; and Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands (Čížek)
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9
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Liu W, Yan H, Zhou D, Cai X, Zhang Y, Li S, Li H, Li S, Zhou DS, Li X, Zhang C, Sun Y, Dai JP, Zhong J, Yao YG, Luo XJ, Fang Y, Zhang D, Ma Y, Yue W, Li M, Xiao X. The depression GWAS risk allele predicts smaller cerebellar gray matter volume and reduced SIRT1 mRNA expression in Chinese population. Transl Psychiatry 2019; 9:333. [PMID: 31819045 PMCID: PMC6901563 DOI: 10.1038/s41398-019-0675-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/19/2019] [Accepted: 11/27/2019] [Indexed: 12/28/2022] Open
Abstract
Major depressive disorder (MDD) is recognized as a primary cause of disability worldwide, and effective management of this illness has been a great challenge. While genetic component is supposed to play pivotal roles in MDD pathogenesis, the genetic and phenotypic heterogeneity of the illness has hampered the discovery of its genetic determinants. In this study, in an independent Han Chinese sample (1824 MDD cases and 3031 controls), we conducted replication analyses of two genetic loci highlighted in a previous Chinese MDD genome-wide association study (GWAS), and confirmed the significant association of a single nucleotide polymorphism (SNP) rs12415800 near SIRT1. Subsequently, using hypothesis-free whole-brain analysis in two independent Han Chinese imaging samples, we found that individuals carrying the MDD risk allele of rs12415800 exhibited aberrant gray matter volume in the left posterior cerebellar lobe compared with those carrying the non-risk allele. Besides, in independent Han Chinese postmortem brain and peripheral blood samples, the MDD risk allele of rs12415800 predicted lower SIRT1 mRNA levels, which was consistent with the reduced expression of this gene in MDD patients compared with healthy subjects. These results provide further evidence for the involvement of SIRT1 in MDD, and suggest that this gene might participate in the illness via affecting the development of cerebellum, a brain region that is potentially underestimated in previous MDD studies.
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Affiliation(s)
- Weipeng Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Danyang Zhou
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shiyi Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Huijuan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Dong-Sheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Xingxing Li
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Chen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Sun
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, Hubei, China
- Chinese Brain Bank Center, Wuhan, Hubei, China
| | - Jia-Pei Dai
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, Hubei, China
- Chinese Brain Bank Center, Wuhan, Hubei, China
| | - Jingmei Zhong
- Psychiatry Department, The first people's hospital of Yunnan province, Kunming, Yunnan, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yiru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Weihua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
- Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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10
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Altered microglia and neurovasculature in the Alzheimer's disease cerebellum. Neurobiol Dis 2019; 132:104589. [PMID: 31454549 DOI: 10.1016/j.nbd.2019.104589] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/30/2019] [Accepted: 08/23/2019] [Indexed: 12/12/2022] Open
Abstract
Traditionally regarded to coordinate movement, the cerebellum also exerts non-motor functions including the regulation of cognitive and behavioral processing, suggesting a potential role in neurodegenerative conditions affecting cognition, such as Alzheimer's disease (AD). This study aims to investigate neuropathology and AD-related molecular changes within the neocerebellum using post-mortem human brain tissue microarrays (TMAs). Immunohistochemistry was conducted on neocerebellar paraffin-embedded TMAs from 24 AD and 24 matched control cases, and free-floating neocerebellar sections from 6 AD and 6 controls. Immunoreactivity was compared between control and AD groups for neuropathological hallmarks (amyloid-β, tau, ubiquitin), Purkinje cells (calbindin), microglia (IBA1, HLA-DR), astrocytes (GFAP) basement-membrane associated molecules (fibronectin, collagen IV), endothelial cells (CD31/PECAM-1) and mural cells (PDGFRβ, αSMA). Amyloid-β expression (total immunolabel intensity) and load (area of immunolabel) was increased by >4-fold within the AD cerebellum. Purkinje cell counts, ubiquitin and tau immunoreactivity were unchanged in AD. IBA1 expression and load was increased by 91% and 69%, respectively, in AD, with no change in IBA1-positive cell number. IBA1-positive cell process length and branching was reduced by 22% and 41%, respectively, in AD. HLA-DR and GFAP immunoreactivity was unchanged in AD. HLA-DR-positive cell process length and branching was reduced by 33% and 49%, respectively, in AD. Fibronectin expression was increased by 27% in AD. Collagen IV, PDGFRβ and αSMA immunoreactivity was unchanged in AD. The number of CD31-positive vessels was increased by 98% in AD, suggesting the increase in CD31 expression and load in AD is due to greater vessel number. The PDGFRβ/CD31 load ratio was reduced by 59% in AD. These findings provide evidence of molecular changes affecting microglia and the neurovasculature within the AD neocerebellum. These changes, occurring without overt neuropathology, support the hypothesis of microglial and neurovascular dysfunction as drivers of AD, which has implications on the neocerebellar contribution to AD symptomatology and pathophysiology.
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11
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Vilariño-Güell C, Zimprich A, Martinelli-Boneschi F, Herculano B, Wang Z, Matesanz F, Urcelay E, Vandenbroeck K, Leyva L, Gris D, Massaad C, Quandt JA, Traboulsee AL, Encarnacion M, Bernales CQ, Follett J, Yee IM, Criscuoli MG, Deutschländer A, Reinthaler EM, Zrzavy T, Mascia E, Zauli A, Esposito F, Alcina A, Izquierdo G, Espino-Paisán L, Mena J, Antigüedad A, Urbaneja-Romero P, Ortega-Pinazo J, Song W, Sadovnick AD. Exome sequencing in multiple sclerosis families identifies 12 candidate genes and nominates biological pathways for the genesis of disease. PLoS Genet 2019; 15:e1008180. [PMID: 31170158 PMCID: PMC6553700 DOI: 10.1371/journal.pgen.1008180] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 05/07/2019] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system characterized by myelin loss and neuronal dysfunction. Although the majority of patients do not present familial aggregation, Mendelian forms have been described. We performed whole-exome sequencing analysis in 132 patients from 34 multi-incident families, which nominated likely pathogenic variants for MS in 12 genes of the innate immune system that regulate the transcription and activation of inflammatory mediators. Rare missense or nonsense variants were identified in genes of the fibrinolysis and complement pathways (PLAU, MASP1, C2), inflammasome assembly (NLRP12), Wnt signaling (UBR2, CTNNA3, NFATC2, RNF213), nuclear receptor complexes (NCOA3), and cation channels and exchangers (KCNG4, SLC24A6, SLC8B1). These genes suggest a disruption of interconnected immunological and pro-inflammatory pathways as the initial event in the pathophysiology of familial MS, and provide the molecular and biological rationale for the chronic inflammation, demyelination and neurodegeneration observed in MS patients.
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Affiliation(s)
| | | | - Filippo Martinelli-Boneschi
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- MS Unit and Department of Neurology, IRCCS Policlinico San Donato, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Bruno Herculano
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Zhe Wang
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of the Capital Medical University, Beijing, China
| | - Fuencisla Matesanz
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | - Elena Urcelay
- Immunology Dept, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
| | - Koen Vandenbroeck
- Achucarro Basque Center for Neuroscience, Universidad del País Vasco (UPV/EHU), Leioa, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Laura Leyva
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Denis Gris
- Division of Immunology, Department of Pediatrics, CR-CHUS, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Charbel Massaad
- Toxicology, Pharmacology and Cell Signalisation—UMR-S 1124 Université Paris Descartes, Paris, France
| | - Jacqueline A. Quandt
- Department of Pathology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Anthony L. Traboulsee
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Mary Encarnacion
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Cecily Q. Bernales
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Jordan Follett
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Irene M. Yee
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Maria G. Criscuoli
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Angela Deutschländer
- Department of Neurology, Mayo Clinic Florida, Jacksonville, FL, United States of America
- Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, FL, United States of America
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL, United States of America
| | - Eva M. Reinthaler
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Tobias Zrzavy
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Elisabetta Mascia
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Zauli
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Esposito
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Alcina
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | | | - Laura Espino-Paisán
- Immunology Dept, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
| | - Jorge Mena
- Achucarro Basque Center for Neuroscience, Universidad del País Vasco (UPV/EHU), Leioa, Spain
| | - Alfredo Antigüedad
- Neurology Department, Hospital Universitario de Cruces, S/N, Baracaldo, Spain
| | - Patricia Urbaneja-Romero
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Jesús Ortega-Pinazo
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Weihong Song
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - A. Dessa Sadovnick
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
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12
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Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder. Transl Psychiatry 2019; 9:152. [PMID: 31127088 PMCID: PMC6534650 DOI: 10.1038/s41398-019-0488-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 04/03/2019] [Accepted: 04/10/2019] [Indexed: 12/14/2022] Open
Abstract
Individuals affected with different neuropsychiatric disorders such as autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD), may share similar clinical manifestations, suggesting shared genetic influences and common biological mechanisms underlying these disorders. Using brain transcriptome data gathered from postmortem donors affected with AUT, SCZ and BPD, it is now possible to identify shared dysregulated gene sets, i.e., those abnormally expressed in brains of neuropsychiatric patients, compared to non-psychiatric controls. Here, we apply a novel aberrant gene expression analysis method, coupled with consensus co-expression network analysis, to identify gene sets with shared dysregulated expression in cortical brains of individuals affected with AUT, SCZ and BPD. We identify eight gene sets with dysregulated expression shared by AUT, SCZ and BPD, 23 by AUT and SCZ, four by AUT and BPD, and two by SCZ and BPD. The identified genes are enriched with functions relevant to amino acid transport, synapse, neurotransmitter release, oxidative stress, nitric oxide synthase biosynthesis, immune response, protein folding, lysophosphatidic acid-mediated signaling and glycolysis. Our method has been proven to be effective in discovering and revealing multigene sets with dysregulated expression shared by different neuropsychiatric disorders. Our findings provide new insights into the common molecular mechanisms underlying the pathogenesis and progression of AUT, SCZ and BPD, contributing to the study of etiological overlap between these neuropsychiatric disorders.
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13
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Capkova P, Srovnal J, Capkova Z, Staffova K, Becvarova V, Trkova M, Adamova K, Santava A, Curtisova V, Hajduch M, Prochazka M. MLPA is a practical and complementary alternative to CMA for diagnostic testing in patients with autism spectrum disorders and identifying new candidate CNVs associated with autism. PeerJ 2019; 6:e6183. [PMID: 30647996 PMCID: PMC6330045 DOI: 10.7717/peerj.6183] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Accepted: 11/28/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a complex heterogeneous developmental disease with a significant genetic background that is frequently caused by rare copy number variants (CNVs). Microarray-based whole-genome approaches for CNV detection are widely accepted. However, the clinical significance of most CNV is poorly understood, so results obtained using such methods are sometimes ambiguous. We therefore evaluated a targeted approach based on multiplex ligation-dependent probe amplification (MLPA) using selected probemixes to detect clinically relevant variants for diagnostic testing of ASD patients. We compare the reliability and efficiency of this test to those of chromosomal microarray analysis (CMA) and other tests available to our laboratory. In addition, we identify new candidate genes for ASD identified in a cohort of ASD-diagnosed patients. METHOD We describe the use of MLPA, CMA, and karyotyping to detect CNV in 92 ASD patients and evaluate their clinical significance. RESULT Pathogenic and likely pathogenic mutations were identified by CMA in eight (8.07% of the studied cohort) and 12 (13.04%) ASD patients, respectively, and in eight (8.07%) and four (4.35%) patients, respectively, by MLPA. The detected mutations include the 22q13.3 deletion, which was attributed to ring chromosome 22 formation based on karyotyping. CMA revealed a total of 91 rare CNV in 55 patients: eight pathogenic, 15 designated variants of unknown significance (VOUS)-likely pathogenic, 10 VOUS-uncertain, and 58 VOUS-likely benign or benign. MLPA revealed 18 CNV in 18 individuals: eight pathogenic, four designated as VOUS-likely pathogenic, and six designated as VOUS-likely benign/benign. Rare CNVs were detected in 17 (58.62%) out of 29 females and 38 (60.32%) out of 63 males in the cohort. Two genes, DOCK8 and PARK2, were found to be overlapped by CNV designated pathogenic, VOUS-likely pathogenic, or VOUS-uncertain in multiple patients. Moreover, the studied ASD cohort exhibited significant (p < 0.05) enrichment of duplications encompassing DOCK8. CONCLUSION Multiplex ligation-dependent probe amplification and CMA yielded concordant results for 12 patients bearing CNV designated pathogenic or VOUS-likely pathogenic. Unambiguous diagnoses were achieved for eight patients (corresponding to 8.7% of the total studied population) by both MLPA and CMA, for one (1.09%) patient by karyotyping, and for one (1.09%) patient by FRAXA testing. MLPA and CMA thus achieved identical reliability with respect to clinically relevant findings. As such, MLPA could be useful as a fast and inexpensive test in patients with syndromic autism. The detection rate of potentially pathogenic variants (VOUS-likely pathogenic) achieved by CMA was higher than that for MLPA (13.04% vs. 4.35%). However, there was no corresponding difference in the rate of unambiguous diagnoses of ASD patients. In addition, the results obtained suggest that DOCK8 may play a role in the etiology of ASD.
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Affiliation(s)
- Pavlina Capkova
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
| | - Josef Srovnal
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Zuzana Capkova
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
| | - Katerina Staffova
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | | | | | - Katerina Adamova
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
| | - Alena Santava
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
| | - Vaclava Curtisova
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
| | - Marian Hajduch
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Martin Prochazka
- Department of Medical Genetics, University Hospital Olomouc, Olomouc, Czech Republic
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14
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Lopatina OL, Komleva YK, Gorina YV, Olovyannikova RY, Trufanova LV, Hashimoto T, Takahashi T, Kikuchi M, Minabe Y, Higashida H, Salmina AB. Oxytocin and excitation/inhibition balance in social recognition. Neuropeptides 2018; 72:1-11. [PMID: 30287150 DOI: 10.1016/j.npep.2018.09.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 09/18/2018] [Accepted: 09/18/2018] [Indexed: 12/15/2022]
Abstract
Social recognition is the sensitive domains of complex behavior critical for identification, interpretation and storage of socially meaningful information. Social recognition develops throughout childhood and adolescent, and is affected in a wide variety of psychiatric disorders. Recently, new data appeared on the molecular mechanisms of these processes, particularly, the excitatory-inhibitory (E/I) ratio which is modified during development, and then E/I balance is established in the adult brain. While E/I imbalance has been proposed as a mechanism for schizophrenia, it also seems to be the common mechanism in autism spectrum disorder (ASD). In addition, there is a strong suggestion that the oxytocinergic system is related to GABA-mediated E/I control in the context of brain socialization. In this review, we attempt to summarize the underpinning molecular mechanisms of E/I balance and its imbalance, and related biomarkers in the brain in healthiness and pathology. In addition, because there are increasing interest on oxytocin in the social neuroscience field, we will pay intensive attention to the role of oxytocin in maintaining E/I balance from the viewpoint of its effects on improving social impairment in psychiatric diseases, especially in ASD.
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Affiliation(s)
- Olga L Lopatina
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia; Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Yulia K Komleva
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia
| | - Yana V Gorina
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia
| | - Raisa Ya Olovyannikova
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia
| | - Lyudmila V Trufanova
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia
| | - Takanori Hashimoto
- Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Tetsuya Takahashi
- Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Mitsuru Kikuchi
- Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Yoshio Minabe
- Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Haruhiro Higashida
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia; Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan
| | - Alla B Salmina
- Depatment of Biochemistry, Medical, Pharmaceutical & Toxicological Chemistry, Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Krasnoyarsk 660022, Russia; Department of Basic Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan.
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15
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Chiarella SE, Rabin EE, Ostilla LA, Flozak AS, Gottardi CJ. αT-catenin: A developmentally dispensable, disease-linked member of the α-catenin family. Tissue Barriers 2018; 6:e1463896. [PMID: 29746206 PMCID: PMC6179130 DOI: 10.1080/21688370.2018.1463896] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/19/2018] [Accepted: 02/23/2018] [Indexed: 02/07/2023] Open
Abstract
α-Catenins are actin-filament binding proteins and critical subunits of the cadherin-catenin cell-cell adhesive complex. They are found in nominally-defined epithelial (E), neural (N), and testis (T) forms transcribed from three distinct genes. While most of α-catenin research has focused on the developmentally essential founding member, αE-catenin, this review discusses recent studies on αT-catenin (CTNNA3), a developmentally dispensable isoform that is emerging as relevant to cardiac, allergic and neurological diseases.
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Affiliation(s)
- Sergio E. Chiarella
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Erik E. Rabin
- Department of Medicine
- Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL
| | - Lorena A. Ostilla
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Annette S. Flozak
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Cara J. Gottardi
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
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16
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Hu Z, Yang Y, Zhao Y, Yu H, Ying X, Zhou D, Zhong J, Zheng Z, Liu J, Pan R, Zhang W, Cheng F, Duan S. APOE hypermethylation is associated with autism spectrum disorder in a Chinese population. Exp Ther Med 2018; 15:4749-4754. [PMID: 29844799 PMCID: PMC5958870 DOI: 10.3892/etm.2018.6069] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 03/01/2018] [Indexed: 12/27/2022] Open
Abstract
Abnormal apolipoprotein E (APOE) methylation has been demonstrated to be associated with Alzheimer's disease, which may have overlapping mechanisms with autism spectrum disorder (ASD). Thus, the purpose of the present study was to assess the possible link between APOE methylation and ASD. Genomic DNA was extracted from peripheral blood and subjected to a methylation assay. SYBR green-based quantitative methylation-specific polymerase chain reaction analysis was used to measure APOE methylation in 62 pediatric patients with ASD and 73 age-matched healthy subjects. The APOE methylation in each sample was expressed as a percentage of methylation of a reference (PMR). The results indicated that APOE methylation in pediatric patients with ASD was significantly higher than that in the healthy controls (median PMR, 33 vs. 11%; P=2.36×10−10). Receiver operating characteristic curve demonstrated that PMR of 15.4% was the optimal cut-off for predicting ASD (area under curve, 0.817; sensitivity, 93.5%; specificity, 72.6%; P=2.36×10−10). In summary, the present results indicated that APOE hypermethylation in peripheral blood DNA may be used as a diagnostic biomarker for ASD.
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Affiliation(s)
- Zhenyu Hu
- Department of Child Psychiatry, Ningbo Kangning Hospital, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Yong Yang
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Yuanzhi Zhao
- Department of Child Psychiatry, Ningbo Kangning Hospital, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Hang Yu
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Xiuru Ying
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Dongsheng Zhou
- Department of Child Psychiatry, Ningbo Kangning Hospital, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Jie Zhong
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Zhonghua Zheng
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Jing Liu
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Ranran Pan
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Wenwu Zhang
- Department of Child Psychiatry, Ningbo Kangning Hospital, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Fang Cheng
- Department of Child Psychiatry, Ningbo Kangning Hospital, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
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17
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Shimojima K, Okamoto N, Yamamoto T. A 10q21.3q22.2 microdeletion identified in a patient with severe developmental delay and multiple congenital anomalies including congenital heart defects. Congenit Anom (Kyoto) 2018; 58:36-38. [PMID: 28378413 DOI: 10.1111/cga.12221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 02/17/2017] [Accepted: 03/20/2017] [Indexed: 11/26/2022]
Abstract
Interstitial deletions in the 10q21.3q22.2 chromosomal region are rare. A de novo microdeletion in this region was identified in a patient with severe developmental delay and multiple congenital anomalies, including congenital heart defects. The identified 10.4-Mb deletion included 84 RefSeq genes. CTNNA3 and JMJD1C have been associated with cardiomyopathy and neurological impairments (autism and/or intellectual disability), respectively. Because there is no gene which shows one-to-one relation to clinical features observed in this patient, combinatory deletion of the genes in this region would be causative of the clinical features in this patient.
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Affiliation(s)
- Keiko Shimojima
- Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan
| | - Toshiyuki Yamamoto
- Institute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan
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18
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Folmsbee SS, Gottardi CJ. Cardiomyocytes of the Heart and Pulmonary Veins: Novel Contributors to Asthma? Am J Respir Cell Mol Biol 2017; 57:512-518. [PMID: 28481622 DOI: 10.1165/rcmb.2016-0261tr] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Recent genome-wide association studies have implicated both cardiac and pulmonary vein-related genes in the pathogenesis of asthma. Since cardiac cells are not present in lung airways or viewed to affect the immune system, interpretation of these findings in the context of more well-established contributors to asthma has remained challenging. However, cardiomyocytes are present in the lung, specifically along pulmonary veins, and recent murine models suggest that cardiac cells lining the pulmonary veins may contribute to allergic airway disease. Notably, the cardiac cell-junction protein αT-catenin (αT-cat, CTNNA3), which is implicated in occupational and steroid-resistant asthma by clinical genetic data, appears to play an important role in regulating inflammation around the cardiac cells of pulmonary veins. Beyond the potential contribution of pulmonary veins, clinical data directly examining cardiac function through echocardiography have found strong associations between asthmatic phenotypes and the mechanical properties of the heart. Together, these data suggest that targeting the function of cardiac cells in the pulmonary veins and/or heart may allow for novel and potentially efficacious therapies for asthma, particularly in challenging cases of steroid-resistant asthma.
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Affiliation(s)
- Stephen Sai Folmsbee
- Departments of 1 Pulmonary and Critical Care Medicine.,2 The Driskill Graduate Training Program in Life Sciences, and
| | - Cara J Gottardi
- Departments of 1 Pulmonary and Critical Care Medicine.,3 Cellular and Molecular Biology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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