1
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Gidado KI, Adeshakin FO, Rabiu L, Zhang Z, Zhang G, Wan X. Multifaceted roles of DLG3/SAP102 in neurophysiology, neurological disorders and tumorigenesis. Neuroscience 2025; 565:192-201. [PMID: 39638232 DOI: 10.1016/j.neuroscience.2024.11.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 11/15/2024] [Accepted: 11/30/2024] [Indexed: 12/07/2024]
Abstract
DLG3, also known as Synapse-associated protein 102 (SAP102), is essential for the organization and plasticity of excitatory synapses within the central nervous system (CNS). It plays a critical role in clustering and moving key components necessary for learning and memory processes. Mutations in the DLG3 gene, which result in truncated SAP102 proteins, have been associated with a range of neurological disorders, including X-linked intellectual disability (XLID), autism spectrum disorders (ASD), and schizophrenia, all of which can disrupt synaptic structure and cognitive functions. Abnormal SAP102 expression has also been linked to various psychiatric and neurodegenerative conditions, such as bipolar disorder, major depression, and Alzheimer's disease. Recent studies suggest that SAP102 influences cancer development and metastasis by regulating multiple signaling pathways, including the PI3K/AKT axis and the Hippo pathway. Moreover, SAP102 has been demonstrated to regulate tumor-induced bone pain through activating NMDA receptors. These findings highlight SAP102 as a promising therapeutic target for both neurological disorders and cancer. Therefore, further investigation into the regulatory roles of SAP102 in neural development and disease may lead to novel therapeutic approaches for treating synaptic disorders and managing cancer progression.
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Affiliation(s)
- Khalid Idris Gidado
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Funmilayo O Adeshakin
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Lawan Rabiu
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Ziyang Zhang
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China.
| | - Guizhong Zhang
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China.
| | - Xiaochun Wan
- Center for Protein and Cell-based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, PR China.
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2
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Huyghebaert J, Mateiu L, Elinck E, Van Rossem KE, Christiaenssen B, D'Incal CP, McCormack MK, Lazzarini A, Vandeweyer G, Kooy RF. Identification of a DLG3 stop mutation in the MRX20 family. Eur J Hum Genet 2024; 32:317-323. [PMID: 38273165 PMCID: PMC10923781 DOI: 10.1038/s41431-024-01537-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 01/27/2024] Open
Abstract
Here, we identified the causal mutation in the MRX20 family, one of the larger X-linked pedigrees that have been described in which no gene had been identified up till now. In 1995, the putative disease gene had been mapped to the pericentromeric region on the X chromosome, but no follow-up studies were performed. Here, whole exome sequencing (WES) on two affected and one unaffected family member revealed the c.195del/p.(Thr66ProfsTer55) mutation in the DLG3 gene (NM_021120.4) that segregated with the affected individuals in the family. DLG3 mutations have been consequently associated with intellectual disability and are a plausible explanation for the clinical abnormalities observed in this family. In addition, we identified two other variants co-segregating with the phenotype: a stop gain mutation in SSX1 (c.358G>T/p.(Glu120Ter)) (NM_001278691.2) and a nonsynonymous SNV in USP27X (c.56 A>G/p.(Gln19Arg)) (NM_001145073.3). RNA sequencing revealed 14 differentially expressed genes (p value < 0.1) in 7 affected males compared to 4 unaffected males of the family, including four genes known to be associated with neurological disorders. Thus, in this paper we identified the c.195del/p.(Thr66ProfsTer55) mutation in the DLG3 gene (NM_021120.4) as likely responsible for the phenotype observed in the MRX20 family.
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Affiliation(s)
| | - Ligia Mateiu
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Ellen Elinck
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | | | | | | | - Michael K McCormack
- Department of Psychiatry, Rutgers University-Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
- Department of Cell Biology and Neurosciences, Virtua Health College of Medicine and Life Sciences of Rowan University, Stratford, NJ, 08084, USA
| | - Alice Lazzarini
- Department of Neurology, Rutgers University-Robert Wood Johnson Medical School, New Brunswick, NJ, 08903, USA
| | - Geert Vandeweyer
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - R Frank Kooy
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium.
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3
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Pan X, Zhao J, Zhou Z, Chen J, Yang Z, Wu Y, Bai M, Jiao Y, Yang Y, Hu X, Cheng T, Lu Q, Wang B, Li CL, Lu YJ, Diao L, Zhong YQ, Pan J, Zhu J, Xiao HS, Qiu ZL, Li J, Wang Z, Hui J, Bao L, Zhang X. 5'-UTR SNP of FGF13 causes translational defect and intellectual disability. eLife 2021; 10:63021. [PMID: 34184986 PMCID: PMC8241442 DOI: 10.7554/elife.63021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 06/17/2021] [Indexed: 12/15/2022] Open
Abstract
The congenital intellectual disability (ID)-causing gene mutations remain largely unclear, although many genetic variations might relate to ID. We screened gene mutations in Chinese Han children suffering from severe ID and found a single-nucleotide polymorphism (SNP) in the 5′-untranslated region (5′-UTR) of fibroblast growth factor 13 (FGF13) mRNA (NM_001139500.1:c.-32c>G) shared by three male children. In both HEK293 cells and patient-derived induced pluripotent stem cells, this SNP reduced the translation of FGF13, which stabilizes microtubules in developing neurons. Mice carrying the homologous point mutation in 5′-UTR of Fgf13 showed delayed neuronal migration during cortical development, and weakened learning and memory. Furthermore, this SNP reduced the interaction between FGF13 5′-UTR and polypyrimidine-tract-binding protein 2 (PTBP2), which was required for FGF13 translation in cortical neurons. Thus, this 5′-UTR SNP of FGF13 interferes with the translational process of FGF13 and causes deficits in brain development and cognitive functions.
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Affiliation(s)
- Xingyu Pan
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Shanghai Brain-Intelligence Project Center, Shanghai, China
| | - Jingrong Zhao
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zhiying Zhou
- Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Jijun Chen
- Shanghai Brain-Intelligence Project Center, Shanghai, China
| | - Zhenxing Yang
- Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Yuxuan Wu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Meizhu Bai
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Yang Jiao
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yun Yang
- CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai, China
| | - Xuye Hu
- Shanghai Brain-Intelligence Project Center, Shanghai, China.,Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Tianling Cheng
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qianyun Lu
- CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai, China
| | - Bin Wang
- Shanghai Brain-Intelligence Project Center, Shanghai, China.,State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Chang-Lin Li
- Shanghai Brain-Intelligence Project Center, Shanghai, China.,Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Ying-Jin Lu
- Shanghai Brain-Intelligence Project Center, Shanghai, China.,Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Lei Diao
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Yan-Qing Zhong
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jing Pan
- Shanghai Brain-Intelligence Project Center, Shanghai, China
| | - Jianmin Zhu
- Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Hua-Sheng Xiao
- Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China
| | - Zi-Long Qiu
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jinsong Li
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Zefeng Wang
- CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai, China
| | - Jingyi Hui
- State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Lan Bao
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China.,School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Xu Zhang
- Institute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,Shanghai Brain-Intelligence Project Center, Shanghai, China.,Shanghai Clinical Center, Chinese Academy of Sciences/Xu-Hui Central Hospital, Shanghai, China.,School of Life Science and Technology, Shanghai Tech University, Shanghai, China.,Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
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4
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Field MJ, Kumar R, Hackett A, Kayumi S, Shoubridge CA, Ewans LJ, Ivancevic AM, Dudding-Byth T, Carroll R, Kroes T, Gardner AE, Sullivan P, Ha TT, Schwartz CE, Cowley MJ, Dinger ME, Palmer EE, Christie L, Shaw M, Roscioli T, Gecz J, Corbett MA. Different types of disease-causing noncoding variants revealed by genomic and gene expression analyses in families with X-linked intellectual disability. Hum Mutat 2021; 42:835-847. [PMID: 33847015 DOI: 10.1002/humu.24207] [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: 07/05/2020] [Revised: 03/19/2021] [Accepted: 04/08/2021] [Indexed: 11/06/2022]
Abstract
The pioneering discovery research of X-linked intellectual disability (XLID) genes has benefitted thousands of individuals worldwide; however, approximately 30% of XLID families still remain unresolved. We postulated that noncoding variants that affect gene regulation or splicing may account for the lack of a genetic diagnosis in some cases. Detecting pathogenic, gene-regulatory variants with the same sensitivity and specificity as structural and coding variants is a major challenge for Mendelian disorders. Here, we describe three pedigrees with suggestive XLID where distinctive phenotypes associated with known genes guided the identification of three different noncoding variants. We used comprehensive structural, single-nucleotide, and repeat expansion analyses of genome sequencing. RNA-Seq from patient-derived cell lines, reverse-transcription polymerase chain reactions, Western blots, and reporter gene assays were used to confirm the functional effect of three fundamentally different classes of pathogenic noncoding variants: a retrotransposon insertion, a novel intronic splice donor, and a canonical splice variant of an untranslated exon. In one family, we excluded a rare coding variant in ARX, a known XLID gene, in favor of a regulatory noncoding variant in OFD1 that correlated with the clinical phenotype. Our results underscore the value of genomic research on unresolved XLID families to aid novel, pathogenic noncoding variant discovery.
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Affiliation(s)
- Michael J Field
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia
| | - Raman Kumar
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Anna Hackett
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia.,School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia
| | - Sayaka Kayumi
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Cheryl A Shoubridge
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Lisa J Ewans
- St Vincent's Clinical School, University of New South Wales, Darlinghurst, Australia.,Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Atma M Ivancevic
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
| | - Tracy Dudding-Byth
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia.,School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales, Australia
| | - Renée Carroll
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Thessa Kroes
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Alison E Gardner
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Patricia Sullivan
- Children's Cancer Institute, University of New South Wales, Kensington, New South Wales, Australia
| | - Thuong T Ha
- Molecular Pathology Department, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia
| | | | - Mark J Cowley
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia.,Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,Children's Cancer Institute, University of New South Wales, Kensington, New South Wales, Australia
| | - Marcel E Dinger
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, New South Wales, Australia
| | - Elizabeth E Palmer
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia.,School of Women's and Children's Health, University of New South Wales, Kensington, Sydney, New South Wales, Australia
| | - Louise Christie
- NSW Genetics of Learning Disability Service, Newcastle, New South Wales, Australia
| | - Marie Shaw
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Tony Roscioli
- NeuRA, University of New South Wales, Sydney, New South Wales, Australia.,Centre for Clinical Genetics, Sydney Children's Hospital, Randwick, Sydney, New South Wales, Australia
| | - Jozef Gecz
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Mark A Corbett
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
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5
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Sandestig A, Green A, Aronsson J, Ellnebo K, Stefanova M. A Novel DLG3 Mutation Expanding the Phenotype of X-Linked Intellectual Disability Caused by DLG3 Nonsense Variants. Mol Syndromol 2019; 10:281-285. [PMID: 32021600 DOI: 10.1159/000502601] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2019] [Indexed: 11/19/2022] Open
Abstract
The DLG3 gene is located at Xq13.1 and encodes SAP102, a member of the MAGUK protein family, extensively expressed in the brain and involved in synaptic function. Mutations in DLG3 are associated with a rare nonsyndromic form of X-linked intellectual disability (XLID) and have been described in 11 families to date. All affected males presented with intellectual disability, and some showed additional clinical features. The majority of female carriers were reported asymptomatic or mildly affected, due to skewed X-inactivation, rarely severely affected. We report a family, a boy and his mother, with a novel nonsense mutation in the DLG3 gene, c.1720C>T; p.Arg574*. The boy, hemizygous for the variant, showed intellectual disability, short stature due to growth hormone deficiency, dysmorphic features, and pectus excavatum. The mother, who presented with learning disabilities and borderline cognitive development, is a heterozygous carrier of the variant, which had arisen de novo. X-inactivation test was noninformative. This case report broadens the phenotypic spectrum of XLID caused by DLG3 nonsense variants. The dysmorphic features of the affected males may be more frequent than previously thought.
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Affiliation(s)
- Anna Sandestig
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - Anna Green
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - Johan Aronsson
- Department of Pediatrics, Ryhov County Hospital, Jönköping, Sweden
| | - Katarina Ellnebo
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
| | - Margarita Stefanova
- Department of Clinical Genetics, University Hospital Linköping, Linköping, Sweden
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6
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Tzschach A. X-chromosomale Intelligenzminderung. MED GENET-BERLIN 2018. [DOI: 10.1007/s11825-018-0207-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Zusammenfassung
X-chromosomale Intelligenzminderung („X-linked intellectual disability“, XLID) ist eine heterogene Krankheitsgruppe; inzwischen sind mehr als 100 XLID-Gene identifiziert worden. Das Fragile-X-Syndrom mit CGG-Repeatexpansion in der 5’-UTR des FMR1-Gens ist die häufigste monogene Ursache für Intelligenzminderung. Weitere X‑chromosomale Gene mit vergleichsweise hohen Mutationsprävalenzen sind ATRX, RPS6KA3, GPC3, SLC16A2, SLC6A8 und ARX. Die Ursachen für XLID verteilen sich zu ca. 90 % auf molekulargenetisch nachweisbare Mutationen und zu ca. 10 % auf chromosomale Kopienzahlvarianten („copy-number variants“, CNVs). Häufige CNVs sind Duplikationen in Xq28 unter Einschluss von MECP2 sowie das Xp11.22-Duplikations-Syndrom mit Überexpression von HUWE1. Mit den aktuellen Untersuchungsmethoden kann bei ca. 10 % der männlichen Patienten mit Intelligenzminderung eine X‑chromosomale Ursache nachgewiesen werden. Neue Erkenntnisse zu XLID sind für die nächsten Jahre am ehesten in den nicht kodierenden Regionen zu erwarten, wo wahrscheinlich ein weiterer Teil der Ursachen für das bislang nicht vollständig erklärte Überwiegen männlicher Patienten zu suchen ist.
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Affiliation(s)
- Andreas Tzschach
- Aff1 0000 0001 2111 7257 grid.4488.0 Institut für Klinische Genetik Technische Universität Dresden Fetscherstr. 74 01307 Dresden Deutschland
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7
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Almizraq RJ, Holovati JL, Acker JP. Characteristics of Extracellular Vesicles in Red Blood Concentrates Change with Storage Time and Blood Manufacturing Method. Transfus Med Hemother 2018; 45:185-193. [PMID: 29928174 DOI: 10.1159/000486137] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 11/30/2017] [Indexed: 01/04/2023] Open
Abstract
Background Extracellular vesicles (EVs) in blood products are potential effectors of inflammation and coagulation after transfusion. The aim of this study was to assess the impact of different blood manufacturing methods and duration of hypothermic storage on the EV subpopulations in relation to other in vitro quality parameters of red blood cell concentrate (RCC) products. Methods RCCs were produced using whole blood filtration (WBF) or red cell filtration (RCF) (n = 12/method), refrigerated for 43 days, and evaluated for EV size profile and concentration, red cell deformability, ATP and 2,3-DPG, hemolysis, and hematological indices. Results The total number of EVs increased significantly with storage in both methods, and WBF-RCCs contained the higher numbers of EVs compared to RCF-RCCs. The concentration of small EVs was greater in WBF-RCCs versus RCF-RCCs, with difference between the two methods observed on day 43 of storage (p = 0.001). Throughout storage, significant decreases were identified in ATP, 2,3-DPG, and EImax, while an increase in hemolysis was observed in both RCC products. Conclusion The dynamic shift in the size and concentration of the EV subpopulations is dependent on the blood manufacturing method and length of storage. Better understanding of the potential clinical implications of these heterogeneous populations of EVs are needed.
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Affiliation(s)
- Ruqayyah J Almizraq
- Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Jelena L Holovati
- Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.,Centre for Innovation, Canadian Blood Services, Edmonton, AB, Canada
| | - Jason P Acker
- Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.,Centre for Innovation, Canadian Blood Services, Edmonton, AB, Canada
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8
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Reble E, Dineen A, Barr CL. The contribution of alternative splicing to genetic risk for psychiatric disorders. GENES BRAIN AND BEHAVIOR 2017; 17:e12430. [PMID: 29052934 DOI: 10.1111/gbb.12430] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 09/25/2017] [Accepted: 10/12/2017] [Indexed: 12/12/2022]
Abstract
A genetic contribution to psychiatric disorders has clearly been established and genome-wide association studies now provide the location of risk genes and genetic variants associated with risk. However, the mechanism by which these genes and variants contribute to psychiatric disorders is mostly undetermined. This is in part because non-synonymous protein coding changes cannot explain the majority of variants associated with complex genetic traits. Based on this, it is predicted that these variants are causing gene expression changes, including changes to alternative splicing. Genetic changes influencing alternative splicing have been identified as risk factors in Mendelian disorders; however, currently there is a paucity of research on the role of alternative splicing in complex traits. This stems partly from the difficulty of predicting the role of genetic variation in splicing. Alterations to canonical splice site sequences, nucleotides adjacent to splice junctions, and exonic and intronic splicing regulatory sequences can influence splice site choice. Recent studies have identified global changes in alternatively spliced transcripts in brain tissues, some of which correlate with altered levels of splicing trans factors. Disease-associated variants have also been found to affect cis-acting splicing regulatory sequences and alter the ratio of alternatively spliced transcripts. These findings are reviewed here, as well as the current datasets and resources available to study alternative splicing in psychiatric disorders. Identifying and understanding risk variants that cause alternative splicing is critical to understanding the mechanisms of risk as well as to pave the way for new therapeutic options.
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Affiliation(s)
- E Reble
- Genetics and Development Division, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - A Dineen
- Genetics and Development Division, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - C L Barr
- Genetics and Development Division, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada
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9
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Gieldon L, Mackenroth L, Betcheva-Krajcir E, Rump A, Beck-Wödl S, Schallner J, Di Donato N, Schröck E, Tzschach A. Skewed X-inactivation in a family with DLG3-
associated X-linked intellectual disability. Am J Med Genet A 2017; 173:2545-2550. [DOI: 10.1002/ajmg.a.38348] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 05/03/2017] [Accepted: 06/14/2017] [Indexed: 11/07/2022]
Affiliation(s)
- Laura Gieldon
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Luisa Mackenroth
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Elitza Betcheva-Krajcir
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Andreas Rump
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Stefanie Beck-Wödl
- Institut für Medizinische Genetik und Angewandte Genomik; Universitätsklinikum Tübingen; Tübingen
| | - Jens Schallner
- Klinik und Poliklinik für Kinder- und Jugendmedizin; Universitätsklinikum Carl Gustav Carus; Dresden Germany
| | - Nataliya Di Donato
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Evelin Schröck
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
| | - Andreas Tzschach
- Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
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