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Miah MM, Zinnia MA, Tabassum N, Islam ABMMK. Association between DPP6 gene rs10260404 polymorphism and increased risk of sporadic amyotrophic lateral sclerosis (sALS): a meta-analysis. Neurol Sci 2024; 45:3225-3243. [PMID: 38381392 DOI: 10.1007/s10072-024-07401-2] [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: 12/12/2023] [Accepted: 02/11/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Sporadic amyotrophic lateral sclerosis (sALS) is a severe neurodegenerative disease characterized by continuous diminution of motor neurons in the brain and spinal cord. Earlier studies indicated that the DPP6 gene variant has a role in the development of sALS. This meta-analysis was designed to uncover the role of rs10260404 polymorphism of the DPP6 gene and its association with sALS. METHODS All case-control articles published prior to October 2022 on the association between DPP6 (rs10260404) polymorphism and sALS risk were systematically extracted from different databases which include PubMed, PubMed Central, and Google Scholar. Overall odds ratios (ORs) and "95% confidence intervals (CIs)" were summarized for various genetic models. Subgroup and heterogeneity assessments were performed. Egger's and "Begg's tests were applied to evaluate publication bias. Trial sequential analysis (TSA) and false-positive report probability (FPRP) were performed. RESULTS Nine case-control studies containing 4202 sALS cases and 4444 healthy controls were included in the meta-analysis. A significant association of the DPP6 (rs10260404) variant with an increased sALS risk in overall pooled subjects under allelic model [C allele vs. T allele, OR = 1.149, 95% CI (1.010-1.307), p-value = 0.035], dominant model [CC + CT vs. TT, OR = 1.165, 95% CI (1.067-1.273), p-value = 0.001], and homozygote comparison [CC vs. TT, OR = 1.421, 95% CI (1.003-2.011), p-value = 0.048] were observed. Moreover, in subgroup analysis by nationality, remarkable associations were detected in Dutch, Irish, American, and Swedish under allelic, dominant, and homozygote models. Additionally, stratification analysis by ethnicity exhibited an association with sALS risk among Caucasians and Americans under different genetic models. Interestingly, none of the models found any significant association with Asians. CONCLUSION The present meta-analysis indicates that DPP6 (rs10260404) polymorphism could be a candidate risk factor for sALS predisposition.
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Affiliation(s)
| | | | - Nuzhat Tabassum
- Department of Pharmacy, East West University, Dhaka, Bangladesh
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2
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Al-Chalabi A, Andrews J, Farhan S. Recent advances in the genetics of familial and sporadic ALS. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:49-74. [PMID: 38802182 DOI: 10.1016/bs.irn.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
ALS shows complex genetic inheritance patterns. In about 5% to 10% of cases, there is a family history of ALS or a related condition such as frontotemporal dementia in a first or second degree relative, and for about 80% of such people a pathogenic gene variant can be identified. Such variants are also seen in people with no family history because of factor influencing the expression of genes, such as age. Genetic susceptibility factors also contribute to risk, and the heritability of ALS is between 40% and 60%. The genetic variants influencing ALS risk include single base changes, repeat expansions, copy number variants, and others. Here we review what is known of the genetic landscape and architecture of ALS.
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Affiliation(s)
- Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, London, United Kingdom.
| | - Jinsy Andrews
- Department of Neurology, Columbia University, New York, NY, United States
| | - Sali Farhan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, Montreal, QC, Canada; Department of Human Genetics, Montreal Neurological Institute-Hospital, Montreal, QC, Canada
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3
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Ruffo P, De Amicis F, La Bella V, Conforti FL. Investigating Repeat Expansions in NIPA1, NOP56, and NOTCH2NLC Genes: A Closer Look at Amyotrophic Lateral Sclerosis Patients from Southern Italy. Cells 2024; 13:677. [PMID: 38667292 PMCID: PMC11049433 DOI: 10.3390/cells13080677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/30/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
The discovery of hexanucleotide repeats expansion (RE) in Chromosome 9 Open Reading frame 72 (C9orf72) as the major genetic cause of amyotrophic lateral sclerosis (ALS) and the association between intermediate repeats in Ataxin-2 (ATXN2) with the disorder suggest that repetitive sequences in the human genome play a significant role in ALS pathophysiology. Investigating the frequency of repeat expansions in ALS in different populations and ethnic groups is therefore of great importance. Based on these premises, this study aimed to define the frequency of REs in the NIPA1, NOP56, and NOTCH2NLC genes and the possible associations between phenotypes and the size of REs in the Italian population. Using repeat-primed-PCR and PCR-fragment analyses, we screened 302 El-Escorial-diagnosed ALS patients and compared the RE distribution to 167 age-, gender-, and ethnicity-matched healthy controls. While the REs distribution was similar between the ALS and control groups, a moderate association was observed between longer RE lengths and clinical features such as age at onset, gender, site of onset, and family history. In conclusion, this is the first study to screen ALS patients from southern Italy for REs in NIPA1, NOP56, and NOTCH2NLC genes, contributing to our understanding of ALS genetics. Our results highlighted that the extremely rare pathogenic REs in these genes do not allow an association with the disease.
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Affiliation(s)
- Paola Ruffo
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy;
- Neuromuscular Diseases Research Section, National Institute on Aging, Bethesda, MD 20892, USA
| | - Francesca De Amicis
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy;
| | - Vincenzo La Bella
- ALS Clinical Research Centre and Laboratory of Neurochemistry, Department of Experimental Biomedicine and Clinical Neurosciences, University of Palermo, 90133 Palermo, Italy;
| | - Francesca Luisa Conforti
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy;
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4
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Nagy ZF, Pál M, Engelhardt JI, Molnár MJ, Klivényi P, Széll M. Beyond C9orf72: repeat expansions and copy number variations as risk factors of amyotrophic lateral sclerosis across various populations. BMC Med Genomics 2024; 17:30. [PMID: 38254109 PMCID: PMC10804878 DOI: 10.1186/s12920-024-01807-9] [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: 10/02/2023] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder which is characterized by the loss of both upper and lower motor neurons in the central nervous system. In a significant fraction of ALS cases - irrespective of family history- a genetic background may be identified. The genetic background of ALS shows a high variability from one ethnicity to another. The most frequent genetic cause of ALS is the repeat expansion of the C9orf72 gene. With the emergence of next-generation sequencing techniques and copy number alteration calling tools the focus in ALS genetics has shifted from disease causing genes and mutations towards genetic susceptibility and risk factors.In this review we aimed to summarize the most widely recognized and studied ALS linked repeat expansions and copy number variations other than the hexanucleotide repeat expansion in the C9orf72 gene. We compare and contrast their involvement and phenotype modifying roles in ALS among different populations.
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Affiliation(s)
- Zsófia Flóra Nagy
- Department of Medical Genetics, University of Szeged, Szeged, Hungary.
- Institute of Genomic Medicine and Rare Disorders, Semmelweis University, Budapest, Hungary.
| | - Margit Pál
- Department of Medical Genetics, University of Szeged, Szeged, Hungary
- HUN-REN - SZTE Functional Clinical Genetics Research Group, Szeged, Hungary
| | | | - Mária Judit Molnár
- Institute of Genomic Medicine and Rare Disorders, Semmelweis University, Budapest, Hungary
- HUN-REN-SE Multiomics Neurodegeneration Research Group, Budapest, Hungary
| | - Péter Klivényi
- Department of Neurology, University of Szeged, Szeged, Hungary
| | - Márta Széll
- Department of Medical Genetics, University of Szeged, Szeged, Hungary
- HUN-REN - SZTE Functional Clinical Genetics Research Group, Szeged, Hungary
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5
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Rizzuti M, Sali L, Melzi V, Scarcella S, Costamagna G, Ottoboni L, Quetti L, Brambilla L, Papadimitriou D, Verde F, Ratti A, Ticozzi N, Comi GP, Corti S, Gagliardi D. Genomic and transcriptomic advances in amyotrophic lateral sclerosis. Ageing Res Rev 2023; 92:102126. [PMID: 37972860 DOI: 10.1016/j.arr.2023.102126] [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: 06/01/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder and the most common motor neuron disease. ALS shows substantial clinical and molecular heterogeneity. In vitro and in vivo models coupled with multiomic techniques have provided important contributions to unraveling the pathomechanisms underlying ALS. To date, despite promising results and accumulating knowledge, an effective treatment is still lacking. Here, we provide an overview of the literature on the use of genomics, epigenomics, transcriptomics and microRNAs to deeply investigate the molecular mechanisms developing and sustaining ALS. We report the most relevant genes implicated in ALS pathogenesis, discussing the use of different high-throughput sequencing techniques and the role of epigenomic modifications. Furthermore, we present transcriptomic studies discussing the most recent advances, from microarrays to bulk and single-cell RNA sequencing. Finally, we discuss the use of microRNAs as potential biomarkers and promising tools for molecular intervention. The integration of data from multiple omic approaches may provide new insights into pathogenic pathways in ALS by shedding light on diagnostic and prognostic biomarkers, helping to stratify patients into clinically relevant subgroups, revealing novel therapeutic targets and supporting the development of new effective therapies.
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Affiliation(s)
- Mafalda Rizzuti
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Luca Sali
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Valentina Melzi
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Simone Scarcella
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy
| | - Gianluca Costamagna
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy
| | - Linda Ottoboni
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy
| | - Lorenzo Quetti
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lorenzo Brambilla
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Federico Verde
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy; Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Antonia Ratti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | - Nicola Ticozzi
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy; Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Giacomo Pietro Comi
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy; Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefania Corti
- Neurology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy.
| | - Delia Gagliardi
- Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy.
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6
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Bagyinszky E, Hulme J, An SSA. Studies of Genetic and Proteomic Risk Factors of Amyotrophic Lateral Sclerosis Inspire Biomarker Development and Gene Therapy. Cells 2023; 12:1948. [PMID: 37566027 PMCID: PMC10417729 DOI: 10.3390/cells12151948] [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: 06/21/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease affecting the upper and lower motor neurons, leading to muscle weakness, motor impairments, disabilities and death. Approximately 5-10% of ALS cases are associated with positive family history (familial ALS or fALS), whilst the remainder are sporadic (sporadic ALS, sALS). At least 50 genes have been identified as causative or risk factors for ALS. Established pathogenic variants include superoxide dismutase type 1 (SOD1), chromosome 9 open reading frame 72 (c9orf72), TAR DNA Binding Protein (TARDBP), and Fused In Sarcoma (FUS); additional ALS-related genes including Charged Multivesicular Body Protein 2B (CHMP2B), Senataxin (SETX), Sequestosome 1 (SQSTM1), TANK Binding Kinase 1 (TBK1) and NIMA Related Kinase 1 (NEK1), have been identified. Mutations in these genes could impair different mechanisms, including vesicle transport, autophagy, and cytoskeletal or mitochondrial functions. So far, there is no effective therapy against ALS. Thus, early diagnosis and disease risk predictions remain one of the best options against ALS symptomologies. Proteomic biomarkers, microRNAs, and extracellular vehicles (EVs) serve as promising tools for disease diagnosis or progression assessment. These markers are relatively easy to obtain from blood or cerebrospinal fluids and can be used to identify potential genetic causative and risk factors even in the preclinical stage before symptoms appear. In addition, antisense oligonucleotides and RNA gene therapies have successfully been employed against other diseases, such as childhood-onset spinal muscular atrophy (SMA), which could also give hope to ALS patients. Therefore, an effective gene and biomarker panel should be generated for potentially "at risk" individuals to provide timely interventions and better treatment outcomes for ALS patients as soon as possible.
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Affiliation(s)
- Eva Bagyinszky
- Graduate School of Environment Department of Industrial and Environmental Engineering, Gachon University, Seongnam-si 13120, Republic of Korea;
| | - John Hulme
- Graduate School of Environment Department of Industrial and Environmental Engineering, Gachon University, Seongnam-si 13120, Republic of Korea;
| | - Seong Soo A. An
- Department of Bionano Technology, Gachon University, Seongnam-si 13120, Republic of Korea
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7
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Morello G, La Cognata V, Guarnaccia M, La Bella V, Conforti FL, Cavallaro S. A Diagnostic Gene-Expression Signature in Fibroblasts of Amyotrophic Lateral Sclerosis. Cells 2023; 12:1884. [PMID: 37508548 PMCID: PMC10378077 DOI: 10.3390/cells12141884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/11/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disease with limited treatment options. Diagnosis can be difficult due to the heterogeneity and non-specific nature of the initial symptoms, resulting in delays that compromise prompt access to effective therapeutic strategies. Transcriptome profiling of patient-derived peripheral cells represents a valuable benchmark in overcoming such challenges, providing the opportunity to identify molecular diagnostic signatures. In this study, we characterized transcriptome changes in skin fibroblasts of sporadic ALS patients (sALS) and controls and evaluated their utility as a molecular classifier for ALS diagnosis. Our analysis identified 277 differentially expressed transcripts predominantly involved in transcriptional regulation, synaptic transmission, and the inflammatory response. A support vector machine classifier based on this 277-gene signature was developed to discriminate patients with sALS from controls, showing significant predictive power in both the discovery dataset and in six independent publicly available gene expression datasets obtained from different sALS tissue/cell samples. Taken together, our findings support the utility of transcriptional signatures in peripheral cells as valuable biomarkers for the diagnosis of ALS.
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Affiliation(s)
- Giovanna Morello
- Institute for Biomedical Research and Innovation, National Research Council (CNR-IRIB), 95126 Catania, Italy
| | - Valentina La Cognata
- Institute for Biomedical Research and Innovation, National Research Council (CNR-IRIB), 95126 Catania, Italy
| | - Maria Guarnaccia
- Institute for Biomedical Research and Innovation, National Research Council (CNR-IRIB), 95126 Catania, Italy
| | - Vincenzo La Bella
- ALS Clinical Research Center and Neurochemistry Laboratory, BiND, University of Palermo, 90133 Palermo, Italy
| | - Francesca Luisa Conforti
- Medical Genetics Laboratory, Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
| | - Sebastiano Cavallaro
- Institute for Biomedical Research and Innovation, National Research Council (CNR-IRIB), 95126 Catania, Italy
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8
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Teruel-Peña B, Gómez-Urquiza JL, Suleiman-Martos N, Prieto I, García-Cózar FJ, Ramírez-Sánchez M, Fernández-Martos C, Domínguez-Vías G. Systematic Review and Meta-Analyses of Aminopeptidases as Prognostic Biomarkers in Amyotrophic Lateral Sclerosis. Int J Mol Sci 2023; 24:ijms24087169. [PMID: 37108335 PMCID: PMC10138961 DOI: 10.3390/ijms24087169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/05/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the progressive loss of motor neurons in the spinal cord, brain stem, and cerebral cortex. Biomarkers for ALS are essential for disease detection and to provide information on potential therapeutic targets. Aminopeptidases catalyze the cleavage of amino acids from the amino terminus of protein or substrates such as neuropeptides. Since certain aminopeptidases are known to increase the risk of neurodegeneration, such mechanisms may reveal new targets to determine their association with ALS risk and their interest as a diagnostic biomarker. The authors performed a systematic review and meta-analyses of genome-wide association studies (GWASs) to identify reported aminopeptidases genetic loci associated with the risk of ALS. PubMed, Scopus, CINAHL, ISI Web of Science, ProQuest, LILACS, and Cochrane databases were searched to retrieve eligible studies in English or Spanish, published up to 27 January 2023. A total of 16 studies were included in this systematic review, where a series of aminopeptidases could be related to ALS and could be promising biomarkers (DPP1, DPP2, DPP4, LeuAP, pGluAP, and PSA/NPEPPS). The literature reported the association of single-nucleotide polymorphisms (SNPs: rs10260404 and rs17174381) with the risk of ALS. The genetic variation rs10260404 in the DPP6 gene was identified to be highly associated with ALS susceptibility, but meta-analyses of genotypes in five studies in a matched cohort of different ancestry (1873 cases and 1861 control subjects) showed no ALS risk association. Meta-analyses of eight studies for minor allele frequency (MAF) also found no ALS association for the "C" allele. The systematic review identified aminopeptidases as possible biomarkers. However, the meta-analyses for rs1060404 of DPP6 do not show a risk associated with ALS.
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Affiliation(s)
- Bárbara Teruel-Peña
- Department of Health Sciences, University of Jaén, 23071 Jaén, Spain
- Department of Physiology, Faculty of Health Sciences, Ceuta University of Granada, 51001 Ceuta, Spain
| | - José Luís Gómez-Urquiza
- Nursing Department, Faculty of Health Sciences, Ceuta University of Granada, 51001 Ceuta, Spain
| | - Nora Suleiman-Martos
- Nursing Department, Faculty of Health Sciences, University of Granada, 18071 Granada, Spain
| | - Isabel Prieto
- Department of Health Sciences, University of Jaén, 23071 Jaén, Spain
| | | | | | | | - Germán Domínguez-Vías
- Department of Physiology, Faculty of Health Sciences, Ceuta University of Granada, 51001 Ceuta, Spain
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9
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Das T, Kaur H, Gour P, Prasad K, Lynn AM, Prakash A, Kumar V. Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic review. Brief Bioinform 2022; 23:6780269. [PMID: 36411673 DOI: 10.1093/bib/bbac442] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/12/2022] [Accepted: 09/13/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Network medicine is an emerging area of research that focuses on delving into the molecular complexity of the disease, leading to the discovery of network biomarkers and therapeutic target discovery. Amyotrophic lateral sclerosis (ALS) is a complicated rare disease with unknown pathogenesis and no available treatment. In ALS, network properties appear to be potential biomarkers that can be beneficial in disease-related applications when explored independently or in tandem with machine learning (ML) techniques. OBJECTIVE This systematic literature review explores recent trends in network medicine and implementations of network-based ML algorithms in ALS. We aim to provide an overview of the identified primary studies and gather details on identifying the potential biomarkers and delineated pathways. METHODS The current study consists of searching for and investigating primary studies from PubMed and Dimensions.ai, published between 2018 and 2022 that reported network medicine perspectives and the coupling of ML techniques. Each abstract and full-text study was individually evaluated, and the relevant studies were finally included in the review for discussion once they met the inclusion and exclusion criteria. RESULTS We identified 109 eligible publications from primary studies representing this systematic review. The data coalesced into two themes: application of network science to identify disease modules and promising biomarkers in ALS, along with network-based ML approaches. Conclusion This systematic review gives an overview of the network medicine approaches and implementations of network-based ML algorithms in ALS to determine new disease genes, and identify critical pathways and therapeutic target discovery for personalized treatment.
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Affiliation(s)
- Trishala Das
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India
| | - Harbinder Kaur
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India
| | - Pratibha Gour
- Dept. of Plant Molecular Biology, University of Delhi, South Campus, New Delhi-110021, India
| | - Kartikay Prasad
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, UP-201303, India
| | - Andrew M Lynn
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India
| | - Amresh Prakash
- Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurgaon-122413, India
| | - Vijay Kumar
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, UP-201303, India
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10
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Malloy C, Ahern M, Lin L, Hoffman DA. Neuronal Roles of the Multifunctional Protein Dipeptidyl Peptidase-like 6 (DPP6). Int J Mol Sci 2022; 23:ijms23169184. [PMID: 36012450 PMCID: PMC9409431 DOI: 10.3390/ijms23169184] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 11/16/2022] Open
Abstract
The concerted action of voltage-gated ion channels in the brain is fundamental in controlling neuronal physiology and circuit function. Ion channels often associate in multi-protein complexes together with auxiliary subunits, which can strongly influence channel expression and function and, therefore, neuronal computation. One such auxiliary subunit that displays prominent expression in multiple brain regions is the Dipeptidyl aminopeptidase-like protein 6 (DPP6). This protein associates with A-type K+ channels to control their cellular distribution and gating properties. Intriguingly, DPP6 has been found to be multifunctional with an additional, independent role in synapse formation and maintenance. Here, we feature the role of DPP6 in regulating neuronal function in the context of its modulation of A-type K+ channels as well as its independent involvement in synaptic development. The prevalence of DPP6 in these processes underscores its importance in brain function, and recent work has identified that its dysfunction is associated with host of neurological disorders. We provide a brief overview of these and discuss research directions currently underway to advance our understanding of the contribution of DPP6 to their etiology.
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11
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Lin X, Yang Y, Melton PE, Singh V, Simpson-Yap S, Burdon KP, Taylor BV, Zhou Y. Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology. Neurol Genet 2022. [DOI: 10.1212/nxg.0000000000200005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Advances in genome sequencing technologies have unlocked new possibilities in identifying disease-associated and causative genetic markers, which may in turn enhance disease diagnosis and improve prognostication and management strategies. With the capability of examining genetic variations ranging from single-nucleotide mutations to large structural variants, whole-genome sequencing (WGS) is an increasingly adopted approach to dissect the complex genetic architecture of neurologic diseases. There is emerging evidence for different structural variants and their roles in major neurologic and neurodevelopmental diseases. This review first describes different structural variants and their implicated roles in major neurologic and neurodevelopmental diseases, and then discusses the clinical relevance of WGS applications in neurology. Notably, WGS-based detection of structural variants has shown promising potential in enhancing diagnostic power of genetic tests in clinical settings. Ongoing WGS-based research in structural variations and quantifying mutational constraints can also yield clinical benefits by improving variant interpretation and disease diagnosis, while supporting biomarker discovery and therapeutic development. As a result, wider integration of WGS technologies into health care will likely increase diagnostic yields in difficult-to-diagnose conditions and define potential therapeutic targets or intervention points for genome-editing strategies.
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12
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Al Khleifat A, Iacoangeli A, van Vugt JJFA, Bowles H, Moisse M, Zwamborn RAJ, van der Spek RAA, Shatunov A, Cooper-Knock J, Topp S, Byrne R, Gellera C, López V, Jones AR, Opie-Martin S, Vural A, Campos Y, van Rheenen W, Kenna B, Van Eijk KR, Kenna K, Weber M, Smith B, Fogh I, Silani V, Morrison KE, Dobson R, van Es MA, McLaughlin RL, Vourc'h P, Chio A, Corcia P, de Carvalho M, Gotkine M, Panades MP, Mora JS, Shaw PJ, Landers JE, Glass JD, Shaw CE, Basak N, Hardiman O, Robberecht W, Van Damme P, van den Berg LH, Veldink JH, Al-Chalabi A. Structural variation analysis of 6,500 whole genome sequences in amyotrophic lateral sclerosis. NPJ Genom Med 2022; 7:8. [PMID: 35091648 PMCID: PMC8799638 DOI: 10.1038/s41525-021-00267-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 10/21/2021] [Indexed: 02/01/2023] Open
Abstract
There is a strong genetic contribution to Amyotrophic lateral sclerosis (ALS) risk, with heritability estimates of up to 60%. Both Mendelian and small effect variants have been identified, but in common with other conditions, such variants only explain a little of the heritability. Genomic structural variation might account for some of this otherwise unexplained heritability. We therefore investigated association between structural variation in a set of 25 ALS genes, and ALS risk and phenotype. As expected, the repeat expansion in the C9orf72 gene was identified as associated with ALS. Two other ALS-associated structural variants were identified: inversion in the VCP gene and insertion in the ERBB4 gene. All three variants were associated both with increased risk of ALS and specific phenotypic patterns of disease expression. More than 70% of people with respiratory onset ALS harboured ERBB4 insertion compared with 25% of the general population, suggesting respiratory onset ALS may be a distinct genetic subtype.
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Affiliation(s)
- Ahmad Al Khleifat
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Alfredo Iacoangeli
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Harry Bowles
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Matthieu Moisse
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
| | - Ramona A J Zwamborn
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Rick A A van der Spek
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Aleksey Shatunov
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Simon Topp
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Ross Byrne
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Cinzia Gellera
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Victoria López
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Ashley R Jones
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Sarah Opie-Martin
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Atay Vural
- Koc University, School of Medicine, Translational Medicine Research Center- NDAL, Istanbul, Turkey
| | - Yolanda Campos
- Mitochondrial pathology Unit, Instituto de Salud Carlos III, Madrid, Spain
| | - Wouter van Rheenen
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Brendan Kenna
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Kristel R Van Eijk
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Kevin Kenna
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Bradley Smith
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Isabella Fogh
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Karen E Morrison
- Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Richard Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Adriano Chio
- Rita Levi Montalcini, Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Azienda Ospedaliera Citta della Salute e della Scienza, Torino, Italy
| | - Philippe Corcia
- Centre SLA, CHRU de Tours, Tours, France
- Federation des Centres SLA Tours and Limoges, LITORALS, Tours, France
| | - Mamede de Carvalho
- Physiology Institute, Faculty of Medicine, Instituto de Medicina Molecular, University of Lisbon, Lisbon, Portugal
| | | | - Monica P Panades
- Neurology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | | | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Jonathan D Glass
- Department of Neurology, Center for Neurodegenerative Diseases, Emory University, Atlanta, GA, USA
| | - Christopher E Shaw
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
- King's College Hospital, Denmark Hill, London, UK
| | - Nazli Basak
- Koc University, School of Medicine, Translational Medicine Research Center- NDAL, Istanbul, Turkey
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, Republic of Ireland
- Department of Neurology, Beaumont Hospital, Dublin, Republic of Ireland
| | - Wim Robberecht
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Philip Van Damme
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Ammar Al-Chalabi
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK.
- King's College Hospital, Denmark Hill, London, UK.
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13
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Morello G, Salomone S, D’Agata V, Conforti FL, Cavallaro S. From Multi-Omics Approaches to Precision Medicine in Amyotrophic Lateral Sclerosis. Front Neurosci 2020; 14:577755. [PMID: 33192262 PMCID: PMC7661549 DOI: 10.3389/fnins.2020.577755] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/13/2020] [Indexed: 12/12/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating and fatal neurodegenerative disorder, caused by the degeneration of upper and lower motor neurons for which there is no truly effective cure. The lack of successful treatments can be well explained by the complex and heterogeneous nature of ALS, with patients displaying widely distinct clinical features and progression patterns, and distinct molecular mechanisms underlying the phenotypic heterogeneity. Thus, stratifying ALS patients into consistent and clinically relevant subgroups can be of great value for the development of new precision diagnostics and targeted therapeutics for ALS patients. In the last years, the use and integration of high-throughput "omics" approaches have dramatically changed our thinking about ALS, improving our understanding of the complex molecular architecture of ALS, distinguishing distinct patient subtypes and providing a rational foundation for the discovery of biomarkers and new individualized treatments. In this review, we discuss the most significant contributions of omics technologies in unraveling the biological heterogeneity of ALS, highlighting how these approaches are revealing diagnostic, prognostic and therapeutic targets for future personalized interventions.
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Affiliation(s)
- Giovanna Morello
- Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy
- Section of Pharmacology, Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Salvatore Salomone
- Section of Pharmacology, Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Velia D’Agata
- Human Anatomy and Histology, University of Catania, Catania, Italy
| | | | - Sebastiano Cavallaro
- Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy
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14
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Shatunov A, Al-Chalabi A. The genetic architecture of ALS. Neurobiol Dis 2020; 147:105156. [PMID: 33130222 DOI: 10.1016/j.nbd.2020.105156] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 10/27/2020] [Accepted: 10/27/2020] [Indexed: 12/12/2022] Open
Affiliation(s)
- Aleksey Shatunov
- Department of Basic & Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK
| | - Ammar Al-Chalabi
- Department of Basic & Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK; Department of Neurology, King's College Hospital, London SE5 9RS, UK.
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15
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Tazelaar GHP, Boeynaems S, De Decker M, van Vugt JJFA, Kool L, Goedee HS, McLaughlin RL, Sproviero W, Iacoangeli A, Moisse M, Jacquemyn M, Daelemans D, Dekker AM, van der Spek RA, Westeneng HJ, Kenna KP, Assialioui A, Da Silva N, Povedano M, Pardina JSM, Hardiman O, Salachas F, Millecamps S, Vourc'h P, Corcia P, Couratier P, Morrison KE, Shaw PJ, Shaw CE, Pasterkamp RJ, Landers JE, Van Den Bosch L, Robberecht W, Al-Chalabi A, van den Berg LH, Van Damme P, Veldink JH, van Es MA. ATXN1 repeat expansions confer risk for amyotrophic lateral sclerosis and contribute to TDP-43 mislocalization. Brain Commun 2020; 2:fcaa064. [PMID: 32954321 PMCID: PMC7425293 DOI: 10.1093/braincomms/fcaa064] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 02/01/2023] Open
Abstract
Increasingly, repeat expansions are being identified as part of the complex genetic architecture of amyotrophic lateral sclerosis. To date, several repeat expansions have been genetically associated with the disease: intronic repeat expansions in C9orf72, polyglutamine expansions in ATXN2 and polyalanine expansions in NIPA1. Together with previously published data, the identification of an amyotrophic lateral sclerosis patient with a family history of spinocerebellar ataxia type 1, caused by polyglutamine expansions in ATXN1, suggested a similar disease association for the repeat expansion in ATXN1. We, therefore, performed a large-scale international study in 11 700 individuals, in which we showed a significant association between intermediate ATXN1 repeat expansions and amyotrophic lateral sclerosis (P = 3.33 × 10-7). Subsequent functional experiments have shown that ATXN1 reduces the nucleocytoplasmic ratio of TDP-43 and enhances amyotrophic lateral sclerosis phenotypes in Drosophila, further emphasizing the role of polyglutamine repeat expansions in the pathophysiology of amyotrophic lateral sclerosis.
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Affiliation(s)
- Gijs H P Tazelaar
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Steven Boeynaems
- Division of Experimental Neurology, Department of Neurosciences, KU
Leuven—University of Leuven, Leuven 3000, Belgium,Laboratory of Neurobiology, VIB, Center for Brain & Disease
Research, Leuven 3000, Belgium,Department of Genetics, Stanford University School of Medicine,
Stanford, CA 94305-5120, USA
| | - Mathias De Decker
- Division of Experimental Neurology, Department of Neurosciences, KU
Leuven—University of Leuven, Leuven 3000, Belgium,Laboratory of Neurobiology, VIB, Center for Brain & Disease
Research, Leuven 3000, Belgium
| | - Joke J F A van Vugt
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Lindy Kool
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - H Stephan Goedee
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Russell L McLaughlin
- Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College
Dublin, Dublin D02 PN40, Republic of Ireland
| | - William Sproviero
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical
Neuroscience Institute and United Kingdom Dementia Research Institute, King’s College
London, London SE5 9NU, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics & Health Informatics, Institute of Psychiatry,
Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Matthieu Moisse
- Division of Experimental Neurology, Department of Neurosciences, KU
Leuven—University of Leuven, Leuven 3000, Belgium,Laboratory of Neurobiology, VIB, Center for Brain & Disease
Research, Leuven 3000, Belgium
| | - Maarten Jacquemyn
- KU Leuven Department of Microbiology and Immunology, Laboratory of Virology and
Chemotherapy, Rega Institute, KU Leuven, 3000 Leuven, Belgium
| | - Dirk Daelemans
- KU Leuven Department of Microbiology and Immunology, Laboratory of Virology and
Chemotherapy, Rega Institute, KU Leuven, 3000 Leuven, Belgium
| | - Annelot M Dekker
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Rick A van der Spek
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Kevin P Kenna
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center,
Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Abdelilah Assialioui
- Servei de Neurologia, IDIBELL-Hospital de Bellvitge, Hospitalet de
Llobregat, Barcelona 08908, Spain
| | - Nica Da Silva
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical
Neuroscience Institute and United Kingdom Dementia Research Institute, King’s College
London, London SE5 9NU, UK
| | | | - Mónica Povedano
- Servei de Neurologia, IDIBELL-Hospital de Bellvitge, Hospitalet de Llobregat, Barcelona 08908, Spain
| | | | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin D02 PN40, Republic of Ireland.,Department of Neurology, Beaumont Hospital, Dublin D02 PN40, Republic of Ireland
| | - François Salachas
- Centre de compétence SLA-Département de Neurologie, Hôpital Pitié-Salpêtrière, Paris 75651, France.,Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, Sorbonne Universités, Paris 75651, France
| | - Stéphanie Millecamps
- Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, Sorbonne Universités, Paris 75651, France
| | - Patrick Vourc'h
- INSERM U930, Université François Rabelais, Tours 92120, France
| | - Philippe Corcia
- Centre de compétence SLA-fédération Tours-Limoges, Tours 92120, France
| | - Philippe Couratier
- Centre de compétence SLA-fédération Tours-Limoges, Limoges 87100, France
| | - Karen E Morrison
- Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
| | - Christopher E Shaw
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute, King's College London, London SE5 9NU, UK.,Department of Neurology, King's College Hospital, London SE5 9RS, UK
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Utrecht University, 3508 GA, Utrecht, The Netherlands
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Ludo Van Den Bosch
- Division of Experimental Neurology, Department of Neurosciences, KU Leuven-University of Leuven, Leuven 3000, Belgium.,Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven 3000, Belgium
| | - Wim Robberecht
- Division of Experimental Neurology, Department of Neurosciences, KU Leuven-University of Leuven, Leuven 3000, Belgium.,Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven 3000, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven 3000, Belgium
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute, King's College London, London SE5 9NU, UK.,Department of Neurology, King's College Hospital, London SE5 9RS, UK
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center, Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Philip Van Damme
- Division of Experimental Neurology, Department of Neurosciences, KU Leuven-University of Leuven, Leuven 3000, Belgium.,Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven 3000, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven 3000, Belgium
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center, Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
| | - Michael A van Es
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center, Utrecht, University of Utrecht, 3508 GA, Utrecht, The Netherlands
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16
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Beltran S, Nassif M, Vicencio E, Arcos J, Labrador L, Cortes BI, Cortez C, Bergmann CA, Espinoza S, Hernandez MF, Matamala JM, Bargsted L, Matus S, Rojas-Rivera D, Bertrand MJM, Medinas DB, Hetz C, Manque PA, Woehlbier U. Network approach identifies Pacer as an autophagy protein involved in ALS pathogenesis. Mol Neurodegener 2019; 14:14. [PMID: 30917850 PMCID: PMC6437924 DOI: 10.1186/s13024-019-0313-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 03/11/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a multifactorial fatal motoneuron disease without a cure. Ten percent of ALS cases can be pointed to a clear genetic cause, while the remaining 90% is classified as sporadic. Our study was aimed to uncover new connections within the ALS network through a bioinformatic approach, by which we identified C13orf18, recently named Pacer, as a new component of the autophagic machinery and potentially involved in ALS pathogenesis. METHODS Initially, we identified Pacer using a network-based bioinformatic analysis. Expression of Pacer was then investigated in vivo using spinal cord tissue from two ALS mouse models (SOD1G93A and TDP43A315T) and sporadic ALS patients. Mechanistic studies were performed in cell culture using the mouse motoneuron cell line NSC34. Loss of function of Pacer was achieved by knockdown using short-hairpin constructs. The effect of Pacer repression was investigated in the context of autophagy, SOD1 aggregation, and neuronal death. RESULTS Using an unbiased network-based approach, we integrated all available ALS data to identify new functional interactions involved in ALS pathogenesis. We found that Pacer associates to an ALS-specific subnetwork composed of components of the autophagy pathway, one of the main cellular processes affected in the disease. Interestingly, we found that Pacer levels are significantly reduced in spinal cord tissue from sporadic ALS patients and in tissues from two ALS mouse models. In vitro, Pacer deficiency lead to impaired autophagy and accumulation of ALS-associated protein aggregates, which correlated with the induction of cell death. CONCLUSIONS This study, therefore, identifies Pacer as a new regulator of proteostasis associated with ALS pathology.
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Affiliation(s)
- S Beltran
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - M Nassif
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - E Vicencio
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - J Arcos
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - L Labrador
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - B I Cortes
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - C Cortez
- Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - C A Bergmann
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - S Espinoza
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile
| | - M F Hernandez
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile
| | - J M Matamala
- Department of Neurological Sciences, Faculty of Medicine, University of Chile, Santiago, Chile.,Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Independencia, 1027, Santiago, Chile
| | - L Bargsted
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Independencia, 1027, Santiago, Chile
| | - S Matus
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Independencia, 1027, Santiago, Chile.,Fundación Ciencia & Vida, Zañartu 1482, 7780272, Santiago, Chile.,Neurounion Biomedical Foundation, 7780272, Santiago, Chile.,Center for Geroscience, Brain Health and Metabolism (GERO), Santiago, Chile
| | - D Rojas-Rivera
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile.,VIB Center for Inflammation Research, Technologiepark 927, Zwijnaarde, 9052, Ghent, Belgium.,Department of Biomedical Molecular Biology, Ghent University, Technologiepark 927, Zwijnaarde, 9052, Ghent, Belgium
| | - M J M Bertrand
- VIB Center for Inflammation Research, Technologiepark 927, Zwijnaarde, 9052, Ghent, Belgium.,Department of Biomedical Molecular Biology, Ghent University, Technologiepark 927, Zwijnaarde, 9052, Ghent, Belgium
| | - D B Medinas
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Independencia, 1027, Santiago, Chile.,Center for Geroscience, Brain Health and Metabolism (GERO), Santiago, Chile.,Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Independencia, 1027, Santiago, Chile
| | - C Hetz
- Biomedical Neuroscience Institute, Faculty of Medicine, University of Chile, Independencia, 1027, Santiago, Chile.,Center for Geroscience, Brain Health and Metabolism (GERO), Santiago, Chile.,Buck Institute for Research on Aging, Novato, CA, 94945, USA.,Program of Cellular and Molecular Biology, Institute of Biomedical Sciences, University of Chile, Independencia, 1027, Santiago, Chile.,Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA, 02115, USA
| | - P A Manque
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile. .,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile. .,Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, 23298, USA.
| | - U Woehlbier
- Center for Integrative Biology, Faculty of Science, Universidad Mayor, Camino la Piramide 5750, P.O.BOX 70086, Santiago, Chile. .,Center for Genomics and Bioinformatics, Faculty of Science, Universidad Mayor, Camino la Piramide, 5750, Santiago, Chile.
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17
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Tazelaar GHP, Dekker AM, van Vugt JJFA, van der Spek RA, Westeneng HJ, Kool LJBG, Kenna KP, van Rheenen W, Pulit SL, McLaughlin RL, Sproviero W, Iacoangeli A, Hübers A, Brenner D, Morrison KE, Shaw PJ, Shaw CE, Panadés MP, Mora Pardina JS, Glass JD, Hardiman O, Al-Chalabi A, van Damme P, Robberecht W, Landers JE, Ludolph AC, Weishaupt JH, van den Berg LH, Veldink JH, van Es MA. Association of NIPA1 repeat expansions with amyotrophic lateral sclerosis in a large international cohort. Neurobiol Aging 2018; 74:234.e9-234.e15. [PMID: 30342764 DOI: 10.1016/j.neurobiolaging.2018.09.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 08/08/2018] [Accepted: 09/11/2018] [Indexed: 12/11/2022]
Abstract
NIPA1 (nonimprinted in Prader-Willi/Angelman syndrome 1) mutations are known to cause hereditary spastic paraplegia type 6, a neurodegenerative disease that phenotypically overlaps to some extent with amyotrophic lateral sclerosis (ALS). Previously, a genomewide screen for copy number variants found an association with rare deletions in NIPA1 and ALS, and subsequent genetic analyses revealed that long (or expanded) polyalanine repeats in NIPA1 convey increased ALS susceptibility. We set out to perform a large-scale replication study to further investigate the role of NIPA1 polyalanine expansions with ALS, in which we characterized NIPA1 repeat size in an independent international cohort of 3955 patients with ALS and 2276 unaffected controls and combined our results with previous reports. Meta-analysis on a total of 6245 patients with ALS and 5051 controls showed an overall increased risk of ALS in those with expanded (>8) GCG repeat length (odds ratio = 1.50, p = 3.8×10-5). Together with previous reports, these findings provide evidence for an association of an expanded polyalanine repeat in NIPA1 and ALS.
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Affiliation(s)
- Gijs H P Tazelaar
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Annelot M Dekker
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Joke J F A van Vugt
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rick A van der Spek
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Lindy J B G Kool
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kevin P Kenna
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Wouter van Rheenen
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Sara L Pulit
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Russell L McLaughlin
- Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Republic of Ireland
| | - William Sproviero
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute, King's College London, London, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - David Brenner
- Department of Neurology, Ulm University, Ulm, Germany
| | | | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Christopher E Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Monica Povedano Panadés
- Biomedical Network Research Center on Neurodegenerative Diseases (CIBERNED), Institute Carlos III, Hospitalet de Llobregat, Spain; Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat, Spain
| | | | - Jonathan D Glass
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Emory ALS Center, Emory University School of Medicine, Atlanta, GA, USA
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, Republic of Ireland; Department of Neurology, Beaumont Hospital, Dublin, Republic of Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute, King's College London, London, UK; Department of Neurology, King's College Hospital, London, UK
| | - Philip van Damme
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), Leuven, Belgium; VIB, Vesalius Research Center, Laboratory of Neurobiology, Leuven, Belgium; Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Wim Robberecht
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), Leuven, Belgium; VIB, Vesalius Research Center, Laboratory of Neurobiology, Leuven, Belgium; Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | | | | | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Michael A van Es
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands.
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La Cognata V, Morello G, Gentile G, Cavalcanti F, Cittadella R, Conforti FL, De Marco EV, Magariello A, Muglia M, Patitucci A, Spadafora P, D’Agata V, Ruggieri M, Cavallaro S. NeuroArray: A Customized aCGH for the Analysis of Copy Number Variations in Neurological Disorders. Curr Genomics 2018; 19:431-443. [PMID: 30258275 PMCID: PMC6128384 DOI: 10.2174/1389202919666180404105451] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 02/02/2018] [Accepted: 03/13/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Neurological disorders are a highly heterogeneous group of pathological conditions that affect both the peripheral and the central nervous system. These pathologies are characterized by a complex and multifactorial etiology involving numerous environmental agents and genetic susceptibility factors. For this reason, the investigation of their pathogenetic basis by means of traditional methodological approaches is rather arduous. High-throughput genotyping technologies, including the microarray-based comparative genomic hybridization (aCGH), are currently replacing classical detection methods, providing powerful molecular tools to identify genomic unbalanced structural rearrangements and explore their role in the pathogenesis of many complex human diseases. METHODS In this report, we comprehensively describe the design method, the procedures, validation, and implementation of an exon-centric customized aCGH (NeuroArray 1.0), tailored to detect both single and multi-exon deletions or duplications in a large set of multi- and monogenic neurological diseases. This focused platform enables a targeted measurement of structural imbalances across the human genome, targeting the clinically relevant genes at exon-level resolution. CONCLUSION An increasing use of the NeuroArray platform may offer new insights in investigating potential overlapping gene signatures among neurological conditions and defining genotype-phenotype relationships.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Sebastiano Cavallaro
- Address correspondence to this author at the Institute of Neurological Sciences, National Research Council, Via Paolo Gaifami 18, 95125, Catania, Italy; Tel: +39-095-7338111; E-mail:
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Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating, uniformly lethal degenerative disorder of motor neurons that overlaps clinically with frontotemporal dementia (FTD). Investigations of the 10% of ALS cases that are transmitted as dominant traits have revealed numerous gene mutations and variants that either cause these disorders or influence their clinical phenotype. The evolving understanding of the genetic architecture of ALS has illuminated broad themes in the molecular pathophysiology of both familial and sporadic ALS and FTD. These central themes encompass disturbances of protein homeostasis, alterations in the biology of RNA binding proteins, and defects in cytoskeletal dynamics, as well as numerous downstream pathophysiological events. Together, these findings from ALS genetics provide new insight into therapies that target genetically distinct subsets of ALS and FTD.
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Affiliation(s)
- Mehdi Ghasemi
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts 01655
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts 01655
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20
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Lutz C. Mouse models of ALS: Past, present and future. Brain Res 2018; 1693:1-10. [PMID: 29577886 DOI: 10.1016/j.brainres.2018.03.024] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 03/14/2018] [Accepted: 03/17/2018] [Indexed: 12/11/2022]
Abstract
Genome sequencing of both sporadic and familial patients of Amyotrophic Lateral Sclerosis (ALS) has led to the identification of new genes that are both contributing and causative in the disease. This gene discovery has come at an unprecedented rate, and much of it in recent years. Knowledge of these genetic mutations provides us with opportunities to uncover new and related mechanisms, increasing our understanding of the disease and bringing us closer to defined therapies for patients. Mouse models have played an important role in our current understanding of the pathophysiology of ALS and have served as important preclinical models in testing new therapeutics. With these new gene discoveries, new mouse models will follow. The information derived from these new models will depend on the careful construction and importantly, an understanding of the capabilities and limitations of each of the models. The genetic discovery in ALS comes at a time when genetic engineering technologies in mice are highly efficient through CRISPR/Cas9 and can be applied to a wide array of genetic backgrounds. New mouse resources in the forms of the Collaborative Cross and Diversity Outbred panels provide us with unique opportunities to study these mutations on diverse genetic backgrounds, and importantly in the context of a population. This review focuses on the mouse models of the past and present, and discusses exciting new opportunities for mouse models of the future.
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Affiliation(s)
- Cathleen Lutz
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine 04609, USA.
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21
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Copy Number Variations in Amyotrophic Lateral Sclerosis: Piecing the Mosaic Tiles Together through a Systems Biology Approach. Mol Neurobiol 2017; 55:1299-1322. [PMID: 28120152 PMCID: PMC5820374 DOI: 10.1007/s12035-017-0393-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 01/06/2017] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating and still untreatable motor neuron disease. Despite the molecular mechanisms underlying ALS pathogenesis that are still far from being understood, several studies have suggested the importance of a genetic contribution in both familial and sporadic forms of the disease. In addition to single-nucleotide polymorphisms (SNPs), which account for only a limited number of ALS cases, a consistent number of common and rare copy number variations (CNVs) have been associated to ALS. Most of the CNV-based association studies use a traditional candidate-gene approach that is inadequate for uncovering the genetic architectures of complex traits like ALS. The emergent paradigm of “systems biology” may offer a new perspective to better interpret the wide spectrum of CNVs in ALS, enabling the characterization of the complex network of gene products underlying ALS pathogenesis. In this review, we will explore the landscape of CNVs in ALS, putting specific emphasis on the functional impact of common CNV regions and genes consistently associated with increased risk of developing disease. In addition, we will discuss the potential contribution of multiple rare CNVs in ALS pathogenesis, focusing our attention on the complex mechanisms by which these proteins might impact, individually or in combination, the genetic susceptibility of ALS. The comprehensive detection and functional characterization of common and rare candidate risk CNVs in ALS susceptibility may bring new pieces into the intricate mosaic of ALS pathogenesis, providing interesting and important implications for a more precise molecular biomarker-assisted diagnosis and more effective and personalized treatments.
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22
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Gene discovery in amyotrophic lateral sclerosis: implications for clinical management. Nat Rev Neurol 2016; 13:96-104. [DOI: 10.1038/nrneurol.2016.182] [Citation(s) in RCA: 184] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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23
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Caballero-Hernandez D, Toscano MG, Cejudo-Guillen M, Garcia-Martin ML, Lopez S, Franco JM, Quintana FJ, Roodveldt C, Pozo D. The ‘Omics’ of Amyotrophic Lateral Sclerosis. Trends Mol Med 2016; 22:53-67. [DOI: 10.1016/j.molmed.2015.11.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 10/29/2015] [Accepted: 11/08/2015] [Indexed: 12/11/2022]
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24
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Large-scale screening in sporadic amyotrophic lateral sclerosis identifies genetic modifiers in C9orf72 repeat carriers. Neurobiol Aging 2015; 39:220.e9-15. [PMID: 26777436 DOI: 10.1016/j.neurobiolaging.2015.12.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Revised: 12/18/2015] [Accepted: 12/20/2015] [Indexed: 12/11/2022]
Abstract
Sporadic amyotrophic lateral sclerosis (ALS) is considered to be a complex disease with multiple genetic risk factors contributing to the pathogenesis. Identification of genetic risk factors that co-occur frequently could provide relevant insight into underlying mechanisms of motor neuron degeneration. To dissect the genetic architecture of sporadic ALS, we undertook a large sequencing study in 755 apparently sporadic ALS cases and 959 controls, analyzing 10 ALS genes: SOD1, C9orf72, TARDBP, FUS, ANG, CHMP2B, ATXN2, NIPA1, SMN1, and UNC13A. We observed sporadic cases with multiple genetic risk variants in 4.1% compared with 1.3% in controls. The overall difference was not in excess of what is to be expected by chance (binomial test, p = 0.59). We did, however, observe a higher frequency than expected of C9orf72 repeat carriers with co-occurring susceptibility variants (ATXN2, NIPA1, and SMN1; p = 0.001), which is mainly because of the co-occurrence of NIPA1 repeats in 15% of C9orf72 repeat carriers (p = 0.006).
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25
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 7: A hint from chromosome 7 high density association screen. Behav Brain Res 2015; 293:241-51. [PMID: 26192912 DOI: 10.1016/j.bbr.2015.06.043] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 06/25/2015] [Accepted: 06/25/2015] [Indexed: 11/18/2022]
Abstract
Convergent evidence from genetics, symptology and psychopharmacology imply that there are intrinsic connection between schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). Also, any two or even three of these disorders could co-existe in some families. A total of 47,144 single nucleotide polymorphism (SNPs) on chromosome 7 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD, and 1000 controls. Associated SNP loci were comprehensively revealed and outstanding susceptibility genes were identified including CNTNAP2. a neurexin family gene. Unexpectedly, flanking genes for up to 94.74 % of of the associated SNPs were replicated (P≤9.9 E-8) in an enlarged cohort of 986 SCZ patients. Considering other convergent evidence, our results further implicate that BPD and MDD are subtypes of SCZ.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China
| | - Bin Cai
- CapitalBio corporation, 18 Life Science Parkway, Changping District, Beijing 102206, People's Republic of China
| | - Xiaohong Chen
- CapitalBio corporation, 18 Life Science Parkway, Changping District, Beijing 102206, People's Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, 18877 Jingshi Road, Jinan 250062, Shandong, People's Republic of China.
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26
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Marangi G, Traynor BJ. Genetic causes of amyotrophic lateral sclerosis: new genetic analysis methodologies entailing new opportunities and challenges. Brain Res 2015; 1607:75-93. [PMID: 25316630 PMCID: PMC5916786 DOI: 10.1016/j.brainres.2014.10.009] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Revised: 10/03/2014] [Accepted: 10/05/2014] [Indexed: 12/11/2022]
Abstract
The genetic architecture of amyotrophic lateral sclerosis (ALS) is being increasingly understood. In this far-reaching review, we examine what is currently known about ALS genetics and how these genes were initially identified. We also discuss the various types of mutations that might underlie this fatal neurodegenerative condition and outline some of the strategies that might be useful in untangling them. These include expansions of short repeat sequences, common and low-frequency genetic variations, de novo mutations, epigenetic changes, somatic mutations, epistasis, oligogenic and polygenic hypotheses. This article is part of a Special Issue entitled ALS complex pathogenesis.
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Affiliation(s)
- Giuseppe Marangi
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA; Institute of Medical Genetics, Catholic University, Roma, Italy.
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
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27
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Corcia P, Vourc’h P, Couratier P. Que peut-on attendre des nouvelles technologies dans le domaine de la génétique de la SLA ? Rev Neurol (Paris) 2015; 171:401-3. [DOI: 10.1016/j.neurol.2015.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Revised: 03/12/2015] [Accepted: 03/12/2015] [Indexed: 11/25/2022]
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28
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Dissection of genetic factors associated with amyotrophic lateral sclerosis. Exp Neurol 2014; 262 Pt B:91-101. [DOI: 10.1016/j.expneurol.2014.04.013] [Citation(s) in RCA: 120] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 03/31/2014] [Accepted: 04/14/2014] [Indexed: 12/11/2022]
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29
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McLaughlin RL, Kenna KP, Vajda A, Bede P, Elamin M, Cronin S, Donaghy CG, Bradley DG, Hardiman O. Second-generation Irish genome-wide association study for amyotrophic lateral sclerosis. Neurobiol Aging 2014; 36:1221.e7-13. [PMID: 25442119 DOI: 10.1016/j.neurobiolaging.2014.08.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 08/22/2014] [Accepted: 08/28/2014] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a heritable neurological disease for which the underlying genetic etiology is only partially understood. In Ireland, 83%-90% of cases are currently unexplained. Through large international collaborations, genome-wide association studies (GWASs) have succeeded in identifying a number of genomic loci that contribute toward ALS risk and age at onset. However, for the large proportion of risk that remains unexplained, population specificity of pathogenic variants could interfere with the detection of disease-associated loci. Single-population studies are therefore an important complement to larger international collaborations. In this study, we conduct a GWAS for ALS risk and age at onset in a large Irish ALS case-control cohort, using genome-wide imputation to increase marker density. Despite being adequately powered to detect associations of modest effect size, the study did not identify any locus associated with ALS risk or age at onset above the genome-wide significance threshold. Several speculative associations were, however, identified at loci that have been previously implicated in ALS. The lack of any clear association supports the conclusion that ALS is likely to be caused by multiple rare genetic risk factors. The findings of the present study highlight the importance of ongoing genetic research into the cause of ALS and its likely future challenges.
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Affiliation(s)
- Russell L McLaughlin
- Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, College Green, Dublin, Republic of Ireland.
| | - Kevin P Kenna
- Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, College Green, Dublin, Republic of Ireland
| | - Alice Vajda
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Republic of Ireland
| | - Peter Bede
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Republic of Ireland
| | - Marwa Elamin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Republic of Ireland
| | - Simon Cronin
- Beaumont Hospital, Dublin, Republic of Ireland; Cork University Hospital, Cork, Republic of Ireland
| | - Colette G Donaghy
- Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland
| | - Daniel G Bradley
- Population Genetics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, College Green, Dublin, Republic of Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Republic of Ireland
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30
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Sareen D, O'Rourke JG, Meera P, Muhammad AKMG, Grant S, Simpkinson M, Bell S, Carmona S, Ornelas L, Sahabian A, Gendron T, Petrucelli L, Baughn M, Ravits J, Harms MB, Rigo F, Bennett CF, Otis TS, Svendsen CN, Baloh RH. Targeting RNA foci in iPSC-derived motor neurons from ALS patients with a C9ORF72 repeat expansion. Sci Transl Med 2014; 5:208ra149. [PMID: 24154603 DOI: 10.1126/scitranslmed.3007529] [Citation(s) in RCA: 514] [Impact Index Per Article: 51.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative condition characterized by loss of motor neurons in the brain and spinal cord. Expansions of a hexanucleotide repeat (GGGGCC) in the noncoding region of the C9ORF72 gene are the most common cause of the familial form of ALS (C9-ALS), as well as frontotemporal lobar degeneration and other neurological diseases. How the repeat expansion causes disease remains unclear, with both loss of function (haploinsufficiency) and gain of function (either toxic RNA or protein products) proposed. We report a cellular model of C9-ALS with motor neurons differentiated from induced pluripotent stem cells (iPSCs) derived from ALS patients carrying the C9ORF72 repeat expansion. No significant loss of C9ORF72 expression was observed, and knockdown of the transcript was not toxic to cultured human motor neurons. Transcription of the repeat was increased, leading to accumulation of GGGGCC repeat-containing RNA foci selectively in C9-ALS iPSC-derived motor neurons. Repeat-containing RNA foci colocalized with hnRNPA1 and Pur-α, suggesting that they may be able to alter RNA metabolism. C9-ALS motor neurons showed altered expression of genes involved in membrane excitability including DPP6, and demonstrated a diminished capacity to fire continuous spikes upon depolarization compared to control motor neurons. Antisense oligonucleotides targeting the C9ORF72 transcript suppressed RNA foci formation and reversed gene expression alterations in C9-ALS motor neurons. These data show that patient-derived motor neurons can be used to delineate pathogenic events in ALS.
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Affiliation(s)
- Dhruv Sareen
- Regenerative Medicine Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
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31
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Wolf EJ, Rasmusson AM, Mitchell KS, Logue MW, Baldwin CT, Miller MW. A genome-wide association study of clinical symptoms of dissociation in a trauma-exposed sample. Depress Anxiety 2014; 31:352-60. [PMID: 24677629 PMCID: PMC3984628 DOI: 10.1002/da.22260] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Revised: 01/23/2014] [Accepted: 02/05/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Recent work suggests that a subset of individuals with posttraumatic stress disorder (PTSD) exhibit marked dissociative symptoms, as defined by derealization and depersonalization. A dissociative subtype of PTSD was added to the diagnostic criteria listed in the Diagnostic and Statistical Manual of Mental Disorders, Version 5 (DSM-5) to capture this presentation of PTSD. This study examined genetic polymorphisms for association with the symptoms that define the dissociative subtype of PTSD using a genome-wide approach. METHODS The sample comprised 484 White, non-Hispanic, trauma-exposed veterans and their partners who were assessed for lifetime PTSD and dissociation using a structured clinical interview. The prevalence of PTSD was 60.5%. Single-nucleotide polymorphisms (SNPs) from across the genome were obtained from a 2.5 million SNP array. RESULTS Ten SNPs evidenced suggestive association with dissociation (P < 10(-5)). No SNPs met genome-wide significance criteria (P < 5 × 10(-8)). The peak SNP was rs263232 (β = 1.4, P = 6.12 × 10(-7)), located in the adenylyl cyclase 8 (ADCY8) gene; a second SNP in the suggestive range was rs71534169 (β = 1.63, P = 3.79 × 10(-6)), located in the dipeptidyl-peptidase 6 (DPP6) gene. CONCLUSIONS ADCY8 is integral for long-term potentiation and synaptic plasticity and is implicated in fear-related learning and memory and long-term memory consolidation. DPP6 is critical for synaptic integration and excitation. These genes may exert effects on basic sensory integration and cognitive processes that underlie dissociative phenomena.
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Affiliation(s)
- Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Ann M. Rasmusson
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Karen S. Mitchell
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
| | - Mark W. Logue
- Biomedical Genetics, Boston University School of Medicine,Department of Biostatistics, Boston University School of Public Health
| | | | - Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System,Department of Psychiatry, Boston University School of Medicine
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Jerng HH, Pfaffinger PJ. Modulatory mechanisms and multiple functions of somatodendritic A-type K (+) channel auxiliary subunits. Front Cell Neurosci 2014; 8:82. [PMID: 24723849 PMCID: PMC3973911 DOI: 10.3389/fncel.2014.00082] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 03/03/2014] [Indexed: 12/13/2022] Open
Abstract
Auxiliary subunits are non-conducting, modulatory components of the multi-protein ion channel complexes that underlie normal neuronal signaling. They interact with the pore-forming α-subunits to modulate surface distribution, ion conductance, and channel gating properties. For the somatodendritic subthreshold A-type potassium (ISA) channel based on Kv4 α-subunits, two types of auxiliary subunits have been extensively studied: Kv channel-interacting proteins (KChIPs) and dipeptidyl peptidase-like proteins (DPLPs). KChIPs are cytoplasmic calcium-binding proteins that interact with intracellular portions of the Kv4 subunits, whereas DPLPs are type II transmembrane proteins that associate with the Kv4 channel core. Both KChIPs and DPLPs genes contain multiple start sites that are used by various neuronal populations to drive the differential expression of functionally distinct N-terminal variants. In turn, these N-terminal variants generate tremendous functional diversity across the nervous system. Here, we focus our review on (1) the molecular mechanism underlying the unique properties of different N-terminal variants, (2) the shaping of native ISA properties by the concerted actions of KChIPs and DPLP variants, and (3) the surprising ways that KChIPs and DPLPs coordinate the activity of multiple channels to fine-tune neuronal excitability. Unlocking the unique contributions of different auxiliary subunit N-terminal variants may provide an important opportunity to develop novel targeted therapeutics to treat numerous neurological disorders.
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Affiliation(s)
- Henry H. Jerng
- Department of Neuroscience, Baylor College of MedicineHouston, TX, USA
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Uyan Ö, Ömür Ö, Ağım ZS, Özoğuz A, Li H, Parman Y, Deymeer F, Oflazer P, Koç F, Tan E, Özçelik H, Başak AN. Genome-wide copy number variation in sporadic amyotrophic lateral sclerosis in the Turkish population: deletion of EPHA3 is a possible protective factor. PLoS One 2013; 8:e72381. [PMID: 23991104 PMCID: PMC3753249 DOI: 10.1371/journal.pone.0072381] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2013] [Accepted: 07/08/2013] [Indexed: 01/06/2023] Open
Abstract
The genome-wide presence of copy number variations (CNVs), which was shown to affect the expression and function of genes, has been recently suggested to confer risk for various human disorders, including Amyotrophic Lateral Sclerosis (ALS). We have performed a genome-wide CNV analysis using PennCNV tool and 733K GWAS data of 117 Turkish ALS patients and 109 matched healthy controls. Case-control association analyses have implicated the presence of both common (>5%) and rare (<5%) CNVs in the Turkish population. In the framework of this study, we identified several common and rare loci that may have an impact on ALS pathogenesis. None of the CNVs associated has been implicated in ALS before, but some have been reported in different types of cancers and autism. The most significant associations were shown for 41 kb and 15 kb intergenic heterozygous deletions (Chr11: 50,545,009–50,586,426 and Chr19: 20,860,930–20,875,787) both contributing to increased risk for ALS. CNVs in coding regions of the MAP4K3, HLA-B, EPHA3 and DPYD genes were detected however, after validation by Log R Ratio (LRR) values and TaqMan CNV genotyping, only EPHA3 deletion remained as a potential protective factor for ALS (p = 0.0065024). Based on the knowledge that EPHA4 has been previously shown to rescue SOD1 transgenic mice from ALS phenotype and prolongs survival, EPHA3 may be a promising candidate for therepuetic interventions.
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Affiliation(s)
- Özgün Uyan
- Suna and İnan Kıraç Foundation Neurodegeneration Research Laboratory, Molecular Biology and Genetics Department, Bogazici University, Istanbul, Turkey
| | - Özgür Ömür
- Suna and İnan Kıraç Foundation Neurodegeneration Research Laboratory, Molecular Biology and Genetics Department, Bogazici University, Istanbul, Turkey
| | - Zeynep Sena Ağım
- Suna and İnan Kıraç Foundation Neurodegeneration Research Laboratory, Molecular Biology and Genetics Department, Bogazici University, Istanbul, Turkey
| | - Aslıhan Özoğuz
- Suna and İnan Kıraç Foundation Neurodegeneration Research Laboratory, Molecular Biology and Genetics Department, Bogazici University, Istanbul, Turkey
| | - Hong Li
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Yeşim Parman
- Neurology Department, Istanbul Medical School, Istanbul University, Istanbul, Turkey
| | - Feza Deymeer
- Neurology Department, Istanbul Medical School, Istanbul University, Istanbul, Turkey
| | - Piraye Oflazer
- Neurology Department, Istanbul Medical School, Istanbul University, Istanbul, Turkey
| | - Filiz Koç
- Neurology Department, Medical School, Çukurova University, Adana, Turkey
| | - Ersin Tan
- Neurology Department, Hacettepe University, Ankara, Turkey
| | - Hilmi Özçelik
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - A. Nazlı Başak
- Suna and İnan Kıraç Foundation Neurodegeneration Research Laboratory, Molecular Biology and Genetics Department, Bogazici University, Istanbul, Turkey
- * E-mail:
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Al-Chalabi A, Kwak S, Mehler M, Rouleau G, Siddique T, Strong M, Leigh PN. Genetic and epigenetic studies of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2013; 14 Suppl 1:44-52. [DOI: 10.3109/21678421.2013.778571] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Increased paternal age and the influence on burden of genomic copy number variation in the general population. Hum Genet 2013; 132:443-50. [DOI: 10.1007/s00439-012-1261-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Accepted: 12/24/2012] [Indexed: 01/07/2023]
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MacLeod AK, Davies G, Payton A, Tenesa A, Harris SE, Liewald D, Ke X, Luciano M, Lopez LM, Gow AJ, Corley J, Redmond P, McNeill G, Pickles A, Ollier W, Horan M, Starr JM, Pendleton N, Thomson PA, Porteous DJ, Deary IJ. Genetic copy number variation and general cognitive ability. PLoS One 2012; 7:e37385. [PMID: 23300510 PMCID: PMC3530597 DOI: 10.1371/journal.pone.0037385] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Accepted: 04/18/2012] [Indexed: 01/06/2023] Open
Abstract
Differences in genomic structure between individuals are ubiquitous features of human genetic variation. Specific copy number variants (CNVs) have been associated with susceptibility to numerous complex psychiatric disorders, including attention-deficit-hyperactivity disorder, autism-spectrum disorders and schizophrenia. These disorders often display co-morbidity with low intelligence. Rare chromosomal deletions and duplications are associated with these disorders, so it has been suggested that these deletions or duplications may be associated with differences in intelligence. Here we investigate associations between large (≥500kb), rare (<1% population frequency) CNVs and both fluid and crystallized intelligence in community-dwelling older people. We observe no significant associations between intelligence and total CNV load. Examining individual CNV regions previously implicated in neuropsychological disorders, we find suggestive evidence that CNV regions around SHANK3 are associated with fluid intelligence as derived from a battery of cognitive tests. This is the first study to examine the effects of rare CNVs as called by multiple algorithms on cognition in a large non-clinical sample, and finds no effects of such variants on general cognitive ability.
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Affiliation(s)
- Andrew K. MacLeod
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, Centre for Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, United Kingdom
| | - Albert Tenesa
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, Centre for Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - David Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Xiayi Ke
- Medical Research Council Centre of Epidemiology for Child Health, University College London Institute of Child Health, London, United Kingdom
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Lorna M. Lopez
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Alan J. Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Janie Corley
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Paul Redmond
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Geraldine McNeill
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Andrew Pickles
- School of Epidemiology and Health Science, Department of Medicine, University of Manchester, Manchester, United Kingdom
| | - William Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, United Kingdom
| | - Michael Horan
- School of Community-Based Medicine, Neurodegeneration Research Group, University of Manchester, Manchester, United Kingdom
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Geriatric Medicine Unit, University of Edinburgh, Edinburgh, United Kingdom
| | - Neil Pendleton
- School of Community-Based Medicine, Neurodegeneration Research Group, University of Manchester, Manchester, United Kingdom
| | - Pippa A. Thomson
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, Centre for Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - David J. Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, Centre for Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
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de Jong SW, Huisman MHB, Hennekam EAM, Sutedja NA, van der Kooi AJ, de Visser M, Schelhaas HJ, Fischer K, Veldink JH, van den Berg LH. Parental age and the risk of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2012; 14:224-7. [PMID: 23151261 DOI: 10.3109/21678421.2012.739176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Sporadic ALS is a multifactorial disease for which there are probably multiple genetic risk factors. An association with increased parental age might suggest there is a role for specific (epi)genetic changes. Previous studies have shown conflicting results on the association between parental age and the risk of ALS. A large, population based study might help in the search for specific (epi)genetic risk factors. We performed a population based, case-control study in the Netherlands. Date of birth of both mother and father was retrieved from the National Register. Multivariate logistic regression analysis was performed in 769 patients with sporadic ALS, 49 patients with a hexanucleotide repeat expansion in C9orf72, and 1929 age-, gender- and geographically-matched controls. Multivariate analyses showed no difference in either paternal or maternal age at delivery (adjusted for age of subject, age of other parent at delivery, and level of education) in patients with sporadic ALS, nor in patients with a hexanucleotide repeat expansion in C9orf72 compared to controls. In conclusion, parental age was not associated with an increased risk of ALS in our study. (Epi)genetic alterations that are associated with increased parental age are not, therefore, likely to contribute to the aetiology of sporadic ALS.
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Affiliation(s)
- Sonja W de Jong
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
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Cozzolino M, Pesaresi MG, Gerbino V, Grosskreutz J, Carrì MT. Amyotrophic lateral sclerosis: new insights into underlying molecular mechanisms and opportunities for therapeutic intervention. Antioxid Redox Signal 2012; 17:1277-330. [PMID: 22413952 DOI: 10.1089/ars.2011.4328] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Recent years have witnessed a renewed interest in the pathogenic mechanisms of amyotrophic lateral sclerosis (ALS), a late-onset progressive degeneration of motor neurons. The discovery of new genes associated with the familial form of the disease, along with a deeper insight into pathways already described for this disease, has led scientists to reconsider previous postulates. While protein misfolding, mitochondrial dysfunction, oxidative damage, defective axonal transport, and excitotoxicity have not been dismissed, they need to be re-examined as contributors to the onset or progression of ALS in the light of the current knowledge that the mutations of proteins involved in RNA processing, apparently unrelated to the previous "old partners," are causative of the same phenotype. Thus, newly envisaged models and tools may offer unforeseen clues on the etiology of this disease and hopefully provide the key to treatment.
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TDP-43 pathology in a case of hereditary spastic paraplegia with a NIPA1/SPG6 mutation. Acta Neuropathol 2012; 124:285-91. [PMID: 22302102 DOI: 10.1007/s00401-012-0947-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2011] [Accepted: 01/24/2012] [Indexed: 12/12/2022]
Abstract
Mutations in NIPA1 (non-imprinted in Prader-Willi/Angelman syndrome) have been described as a cause of autosomal dominant hereditary spastic paraplegia (HSP) known as SPG6 (spastic paraplegia-6). We present the first neuropathological description of a patient with a NIPA1 mutation, and clinical phenotype of complicated HSP with motor neuron disease-like syndrome and cognitive decline. Postmortem examination revealed degeneration of lateral corticospinal tracts and dorsal columns with motor neuron loss. TDP-43 immunostaining showed widespread spinal cord and cerebral skein-like and round neuronal cytoplasmic inclusions. We ruled out NIPA1 mutations in 419 additional cases of motor neuron disease. These findings suggest that hereditary spastic paraplegia due to NIPA1 mutations could represent a TDP-43 proteinopathy.
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Progress in therapy development for amyotrophic lateral sclerosis. Neurol Res Int 2012; 2012:187234. [PMID: 22830014 PMCID: PMC3399448 DOI: 10.1155/2012/187234] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Accepted: 04/25/2012] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that cannot be slowed substantially using any currently-available clinical tools. Through decades of studying sporadic and familial ALS (SALS and FALS), researchers are coming to understand ALS as a complex syndrome with diverse genetic and environmental etiologies. It is know appreciated that motor neuron degeneration in ALS requires active (gain of function) and passive (loss of function) events to occur in non-neuronal cells, especially astrocytes and microglia. These neuroinflammatory processes produce paracrine factors that detrimentally affect motor neurons, precipitating protein aggregation and compromising cytoskeletal integrity. The result is a loss of neuronal homeostasis and progressive die-back of motor axons culminating in death of the afflicted motor neurons. This review will discuss experimental therapeutics that have been tested in murine ALS models, with an emphasis on those that have progressed to human clinical trials. Reasons will be considered for the frequent failure of preclinical successes to translate into positive clinical outcomes. Finally, this review will explore current trends in experimental therapeutics for ALS with emphasis on the emerging interest in axon guidance signaling pathways as novel targets for pharmacological support of neural cytoskeletal structure and function in order to slow ALS.
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Blauw HM, van Rheenen W, Koppers M, Van Damme P, Waibel S, Lemmens R, van Vught PWJ, Meyer T, Schulte C, Gasser T, Cuppen E, Pasterkamp RJ, Robberecht W, Ludolph AC, Veldink JH, van den Berg LH. NIPA1 polyalanine repeat expansions are associated with amyotrophic lateral sclerosis. Hum Mol Genet 2012; 21:2497-502. [PMID: 22378146 DOI: 10.1093/hmg/dds064] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Mutations in NIPA1 cause Hereditary Spastic Paraplegia type 6, a neurodegenerative disease characterized by an (upper) motor neuron phenotype. Deletions of NIPA1 have been associated with a higher susceptibility to amyotrophic lateral sclerosis (ALS). The exact role of genetic variation in NIPA1 in ALS susceptibility and disease course is, however, not known. We sequenced the entire coding sequence of NIPA1 and genotyped a polyalanine repeat located in the first exon of NIPA1. A total of 2292 ALS patients and 2777 controls from three independent European populations were included. We identified two sequence variants that have a potentially damaging effect on NIPA1 protein function. Both variants were identified in ALS patients; no damaging variants were found in controls. Secondly, we found a significant effect of 'long' polyalanine repeat alleles on disease susceptibility: odds ratio = 1.71, P = 1.6 × 10(-4). Our analyses also revealed a significant effect of 'long' alleles on patient survival [hazard ratio (HR) = 1.60, P = 4.2 × 10(-4)] and on the age at onset of symptoms (HR = 1.37, P = 4.6 × 10(-3)). In patients carrying 'long' alleles, median survival was 3 months shorter than patients with 'normal' genotypes and onset of symptoms occurred 3.6 years earlier. Our data show that NIPA1 polyalanine repeat expansions are a common risk factor for ALS and modulate disease course.
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Affiliation(s)
- Hylke M Blauw
- Department of Neurology, University Medical Center Utrecht, Heidelberglaan , Utrecht, The Netherlands
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Kuningas M, Estrada K, Hsu YH, Nandakumar K, Uitterlinden AG, Lunetta KL, van Duijn CM, Karasik D, Hofman A, Murabito J, Rivadeneira F, Kiel DP, Tiemeier H. Large common deletions associate with mortality at old age. Hum Mol Genet 2011; 20:4290-6. [PMID: 21835882 PMCID: PMC3188993 DOI: 10.1093/hmg/ddr340] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2011] [Revised: 07/01/2011] [Accepted: 08/01/2011] [Indexed: 12/13/2022] Open
Abstract
Copy-number variants (CNVs) are a source of genetic variation that increasingly are associated with human disease. However, the role of CNVs in human lifespan is to date unknown. To identify CNVs that influence mortality at old age, we analyzed genome-wide CNV data in 5178 participants of Rotterdam Study (RS1) and positive findings were evaluated in 1714 participants of the second cohort of the Rotterdam Study (RS2) and in 4550 participants of Framingham Heart Study (FHS). First, we assessed the total burden of rare (frequency <1%) and common (frequency >1%) CNVs for association with mortality during follow-up. These analyses were repeated by stratifying CNVs by type and size. Secondly, we assessed individual common CNV regions (CNVR) for association with mortality. We observed that the burden of common but not of rare CNVs influences mortality. A higher burden of large (≥ 500 kb) common deletions associated with 4% higher mortality [hazard ratio (HR) per CNV 1.04, 95% confidence interval (CI) 1.02-1.07, P = 5.82 × 10(-5)] in the 11 442 participants of RS1, RS2 and FHS. In the analysis of 312 individual common CNVRs, we identified two regions (11p15.5; 14q21.3) that associated with higher mortality in these cohorts. The 11p15.5 region (combined HR 1.59, 95% CI 1.31-1.93, P = 2.87 × 10(-6)) encompasses 41 genes, of which some have previously been related to longevity, whereas the 14q21.3 region (combined HR 1.57, 95% CI 1.19-2.07, P = 1.53 × 10(-3)) does not encompass any genes. In conclusion, the burden of large common deletions, as well as common CNVs in 11p15.5 and 14q21.3 region, associate with higher mortality.
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Affiliation(s)
- Maris Kuningas
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, CA 3000, The Netherlands.
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McCombe PA, Henderson RD. The Role of immune and inflammatory mechanisms in ALS. Curr Mol Med 2011; 11:246-54. [PMID: 21375489 PMCID: PMC3182412 DOI: 10.2174/156652411795243450] [Citation(s) in RCA: 171] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2011] [Accepted: 02/25/2011] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a severe progressive neurodegenerative disease. The cause is unknown, but genetic abnormalities have been identified in subjects with familial ALS and also in subjects with sporadic ALS. Environmental factors such as occupational exposure have been shown to be risk factors for the development of ALS. Patients differ in their clinical features and differ in the clinical course of disease. Immune abnormalities have been found in the central nervous system by pathological studies and also in the blood and CSF of subjects with ALS. Inflammation and immune abnormalities are also found in animals with a model of ALS due to mutations in the SOD1 gene. Previously it has been considered that immune abnormalities might contribute to the pathogenesis of disease. However more recently it has become apparent that an immune response can occur as a response to damage to the nervous system and this can be protective.
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Affiliation(s)
- P A McCombe
- The University of Queensland, UQ Centre for Clinical Research, Australia.
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Boone PM, Wiszniewski W, Lupski JR. Genomic medicine and neurological disease. Hum Genet 2011; 130:103-21. [PMID: 21594611 PMCID: PMC3133694 DOI: 10.1007/s00439-011-1001-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2011] [Accepted: 04/27/2011] [Indexed: 12/11/2022]
Abstract
"Genomic medicine" refers to the diagnosis, optimized management, and treatment of disease--as well as screening, counseling, and disease gene identification--in the context of information provided by an individual patient's personal genome. Genomic medicine, to some extent synonymous with "personalized medicine," has been made possible by recent advances in genome technologies. Genomic medicine represents a new approach to health care and disease management that attempts to optimize the care of a patient based upon information gleaned from his or her personal genome sequence. In this review, we describe recent progress in genomic medicine as it relates to neurological disease. Many neurological disorders either segregate as Mendelian phenotypes or occur sporadically in association with a new mutation in a single gene. Heritability also contributes to other neurological conditions that appear to exhibit more complex genetics. In addition to discussing current knowledge in this field, we offer suggestions for maximizing the utility of genomic information in clinical practice as the field of genomic medicine unfolds.
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Affiliation(s)
- Philip M Boone
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
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Abstract
Over the last decade remarkable advances in genotyping and sequencing technology have resulted in hundreds of novel gene associations with disease. These have typically involved high frequency alleles in common diseases and with the advent of next generation sequencing, disease causing recessive mutations in rare inherited syndromes. Here we discuss the impact of these advances and other gene discovery methods in the prion diseases. Several quantitative trait loci in mouse have been mapped and their human counterparts analysed (HECTD2, CPNE8); other candidate genes regions have been chosen for functional reasons (SPRN, CTSD). Human genome wide association has been done in variant Creutzfeldt-Jakob disease (CJD) and are ongoing in larger collections of sporadic CJD with findings around, but not clearly beyond, the levels of statistical significance required in these studies (THRB-RARB, STMN2). Future work will include closer integration of animal and human genetic studies, larger and combined genome wide association, analysis of structural genetic variantion and next generation sequencing studies involving the entire coding exome or genome.
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Affiliation(s)
- Ana Lukic
- National Prion Clinic, UCLH NHS Trust, London, UK
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46
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Knauff EAH, Blauw HM, Pearson PL, Kok K, Wijmenga C, Veldink JH, van den Berg LH, Bouchard P, Fauser BCJM, Franke L. Copy number variants on the X chromosome in women with primary ovarian insufficiency. Fertil Steril 2011; 95:1584-8.e1. [PMID: 21316664 DOI: 10.1016/j.fertnstert.2011.01.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2010] [Revised: 12/14/2010] [Accepted: 01/06/2011] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To investigate whether submicroscopic copy number variants (CNVs) on the X chromosome can be identified in women with primary ovarian insufficiency (POI), defined as spontaneous secondary amenorrhea before 40 years of age accompanied by follicle-stimulating hormone levels above 40 IU/L on at least two occasions. DESIGN Analysis of intensity data of single nucleotide polymorphism (SNP) probes generated by genomewide Illumina 370k CNV BeadChips, followed by the validation of identified loci using a custom designed ultra-high-density comparative genomic hybridization array containing 48,325 probes evenly distributed over the X chromosome. SETTING Multicenter genetic cohort study in the Netherlands. PATIENT(S) 108 Dutch Caucasian women with POI, 97 of whom passed quality control, who had a normal karyogram and absent fragile X premutation, and 235 healthy Dutch Caucasian women as controls. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Amount and locus of X chromosomal microdeletions or duplications. RESULT(S) Intensity differences between SNP probes identify microdeletions and duplications. The initial analysis identified an overrepresentation of deletions in POI patients. Moreover, CNVs in two genes on the Xq21.3 locus (i.e., PCDH11X and TGIF2LX) were statistically significantly associated with the POI phenotype. Mean size of identified CNVs was 262 kb. However, in the validation study the identified putative Xq21.3 deletions samples did not show deviations in intensities in consecutive probes. CONCLUSION(S) X chromosomal submicroscopic CNVs do not play a major role in Caucasian POI patients. We provide guidelines on how submicroscopic cytogenetic POI research should be conducted.
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Affiliation(s)
- Erik A H Knauff
- Department of Reproductive Medicine and Gynecology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, the Netherlands.
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