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Ouyang J, Peng S, Wu G, Liu R. Association Between Neurodegenerative Diseases and an Increased Risk of Epilepsy Based on Single Nucleotide Polymorphisms: A Mendelian Randomization Study. Mol Neurobiol 2024; 61:5950-5957. [PMID: 38261256 DOI: 10.1007/s12035-024-03955-6] [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: 05/21/2023] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
Epilepsy is a common neurological disorder characterized by transient brain dysfunction, attributed to a multitude of factors. The purpose of this study is to explore whether neurodegenerative diseases, specifically Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS), have a causal effect on epilepsy. Mendelian randomization (MR) methods were used to analyze the causal association between neurodegenerative diseases (AD, PD, ALS, and MS) and epilepsy based on single nucleotide polymorphisms from genome-wide association studies, including inverse-variance weighted, weighted median, MR-Egger, and weighted mode methods. The reliability and stability of the MR analysis results were assessed by the MR-Egger intercept, MR-PRESSO, and heterogeneity tests. Forty-three SNPs were selected for the MR analysis of MS and epilepsy. The inverse-variance weighted method showed a significant causal association between MS and increased risk of epilepsy (odds ratio 1.046; 95% confidence interval 1.001-1.093; P = 0.043). However, AD (P = 0.986), PD (P = 0.894), and ALS (P = 0.533) were not causally associated with epilepsy. Sensitivity analysis showed that the results were robust. The MR study confirmed the causal relationship between genetically predicted MS and epilepsy but did not support the causal relationship between genetically predicted AD, PD, and ALS on epilepsy.
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Affiliation(s)
- Jia Ouyang
- Department of Neurosurgery, Peking University People's Hospital, Beijing, 100044, People's Republic of China
| | - Shijun Peng
- Department of Neurosurgery, Peking University People's Hospital, Beijing, 100044, People's Republic of China
| | - Guangyong Wu
- Department of Neurosurgery, Peking University People's Hospital, Beijing, 100044, People's Republic of China
| | - Ruen Liu
- Department of Neurosurgery, Peking University People's Hospital, Beijing, 100044, People's Republic of China.
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2
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Jonson C, Levine KS, Lake J, Hertslet L, Jones L, Patel D, Kim J, Bandres-Ciga S, Terry N, Mata IF, Blauwendraat C, Singleton AB, Nalls MA, Yokoyama JS, Leonard HL. Assessing the lack of diversity in genetics research across neurodegenerative diseases: A systematic review of the GWAS Catalog and literature. Alzheimers Dement 2024. [PMID: 39030740 DOI: 10.1002/alz.13873] [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: 01/19/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 07/22/2024]
Abstract
The under-representation of non-European cohorts in neurodegenerative disease genome-wide association studies (GWAS) hampers precision medicine efforts. Despite the inherent genetic and phenotypic diversity in these diseases, GWAS research consistently exhibits a disproportionate emphasis on participants of European ancestry. This study reviews GWAS up to 2022, focusing on non-European or multi-ancestry neurodegeneration studies. We conducted a systematic review of GWAS results and publications up to 2022, focusing on non-European or multi-ancestry neurodegeneration studies. Rigorous article inclusion and quality assessment methods were employed. Of 123 neurodegenerative disease (NDD) GWAS reviewed, 82% predominantly featured European ancestry participants. A single European study identified over 90 risk loci, compared to a total of 50 novel loci in identified in all non-European or multi-ancestry studies. Notably, only six of the loci have been replicated. The significant under-representation of non-European ancestries in NDD GWAS hinders comprehensive genetic understanding. Prioritizing genomic diversity in future research is crucial for advancing NDD therapies and understanding. HIGHLIGHTS: Eighty-two percent of neurodegenerative genome-wide association studies (GWAS) focus on Europeans. Only 6 of 50 novel neurodegenerative disease (NDD) genetic loci have been replicated. Lack of diversity significantly hampers understanding of NDDs. Increasing diversity in NDD genetic research is urgently required. New initiatives are aiming to enhance diversity in NDD research.
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Affiliation(s)
- Caroline Jonson
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- DataTecnica LLC, Washington, District of Columbia, USA
- Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, California, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Kristin S Levine
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- DataTecnica LLC, Washington, District of Columbia, USA
| | - Julie Lake
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Linnea Hertslet
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
| | - Lietsel Jones
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- DataTecnica LLC, Washington, District of Columbia, USA
| | - Dhairya Patel
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Jeff Kim
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Sara Bandres-Ciga
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
| | - Nancy Terry
- Division of Library Services, Office of Research Services, National Institutes of Health, Bethesda, Maryland, USA
| | - Ignacio F Mata
- Genomic Medicine Institute, Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew B Singleton
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Mike A Nalls
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- DataTecnica LLC, Washington, District of Columbia, USA
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Jennifer S Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, California, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Hampton L Leonard
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, Maryland, USA
- DataTecnica LLC, Washington, District of Columbia, USA
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, Maryland, USA
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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3
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Li M, Zhang X, Chen K, Miao Y, Xu Y, Sun Y, Jiang M, Liu M, Gao Y, Xue X, Li X. Alcohol Exposure and Disease Associations: A Mendelian Randomization and Meta-Analysis on Weekly Consumption and Problematic Drinking. Nutrients 2024; 16:1517. [PMID: 38794754 PMCID: PMC11123792 DOI: 10.3390/nu16101517] [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: 03/27/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Alcohol consumption significantly impacts disease burden and has been linked to various diseases in observational studies. However, comprehensive meta-analyses using Mendelian randomization (MR) to examine drinking patterns are limited. We aimed to evaluate the health risks of alcohol use by integrating findings from MR studies. A thorough search was conducted for MR studies focused on alcohol exposure. We utilized two sets of instrumental variables-alcohol consumption and problematic alcohol use-and summary statistics from the FinnGen consortium R9 release to perform de novo MR analyses. Our meta-analysis encompassed 64 published and 151 de novo MR analyses across 76 distinct primary outcomes. Results show that a genetic predisposition to alcohol consumption, independent of smoking, significantly correlates with a decreased risk of Parkinson's disease, prostate hyperplasia, and rheumatoid arthritis. It was also associated with an increased risk of chronic pancreatitis, colorectal cancer, and head and neck cancers. Additionally, a genetic predisposition to problematic alcohol use is strongly associated with increased risks of alcoholic liver disease, cirrhosis, both acute and chronic pancreatitis, and pneumonia. Evidence from our MR study supports the notion that alcohol consumption and problematic alcohol use are causally associated with a range of diseases, predominantly by increasing the risk.
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Affiliation(s)
- Mengyao Li
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Xuying Zhang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Kailei Chen
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yang Miao
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yaxin Xu
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yishuo Sun
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Mengxian Jiang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Mengcao Liu
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yan Gao
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
| | - Xiaoxia Xue
- Science Experiment Center, China Medical University, Shenyang 110122, China;
| | - Xuelian Li
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, China Medical University, Ministry of Education, Shenyang 110122, China; (M.L.); (X.Z.); (K.C.); (Y.M.); (Y.X.); (Y.S.); (M.J.); (M.L.); (Y.G.)
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, China
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4
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Du R, Zhu Y, Chen P, Li M, Zhang Y, Huang X. Causal association between obstructive sleep apnea and amyotrophic lateral sclerosis: a Mendelian randomization study. Front Aging Neurosci 2024; 16:1357070. [PMID: 38817347 PMCID: PMC11138490 DOI: 10.3389/fnagi.2024.1357070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/24/2024] [Indexed: 06/01/2024] Open
Abstract
Background Obstructive sleep apnea (OSA) had a high prevalence in the population. Whether OSA increases the risk of amyotrophic lateral sclerosis (ALS) is unknown. Our aim was to clarify this issue using two-sample Mendelian randomization (MR) analysis in a large cohort. Methods Two-sample MR was used to evaluate the potential causality between OSA and ALS by selecting single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) from genome-wide association studies (GWAS). The inverse-variance weighted (IVW) method was chosen as the primary method to estimate causal association. Weighted median, weighted mode and simple mode methods were used as sensitivity analyses to ensure the robustness of the results. Results In MR analysis, IVW mode showed genetic liability to OSA was found to be significantly associated with a higher ALS risk (OR, 1.220; 95% confidence interval, 1.031-1.443; p = 0.021). No evidence of heterogeneity and horizontal pleiotropy were suggested. Conclusion We found potential evidence for a causal effect of OSA on an increased risk of ALS.
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Affiliation(s)
- Rongrong Du
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Yahui Zhu
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Peng Chen
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery and Institute of General Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Mao Li
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ying Zhang
- Medical School of Chinese PLA, Beijing, China
- The Fourth of the Health Department, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xusheng Huang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
- Medical School of Chinese PLA, Beijing, China
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5
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Zhang W, Zhu F, Zhu J, Liu K. Phospholipase D, a Novel Therapeutic Target Contributes to the Pathogenesis of Neurodegenerative and Neuroimmune Diseases. Anal Cell Pathol (Amst) 2024; 2024:6681911. [PMID: 38487684 PMCID: PMC10940030 DOI: 10.1155/2024/6681911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 01/10/2024] [Accepted: 02/14/2024] [Indexed: 03/17/2024] Open
Abstract
Phospholipase D (PLD) is an enzyme that consists of six isoforms (PLD1-PLD6) and has been discovered in different organisms including bacteria, viruses, plants, and mammals. PLD is involved in regulating a wide range of nerve cells' physiological processes, such as cytoskeleton modulation, proliferation/growth, vesicle trafficking, morphogenesis, and development. Simultaneously, PLD, which also plays an essential role in the pathogenesis of neurodegenerative and neuroimmune diseases. In this review, family members, characterizations, structure, functions and related signaling pathways, and therapeutic values of PLD was summarized, then five representative diseases including Alzheimer disease (AD), Parkinson's disease (PD), etc. were selected as examples to tell the involvement of PLD in these neurological diseases. Notably, recent advances in the development of tools for studying PLD therapy envisaged novel therapeutic interventions. Furthermore, the limitations of PLD based therapy were also analyzed and discussed. The content of this review provided a thorough and reasonable basis for further studies to exploit the potential of PLD in the treatment of neurodegenerative and neuroimmune diseases.
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Affiliation(s)
- Weiwei Zhang
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Feiqi Zhu
- Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, China
| | - Jie Zhu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Kangding Liu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
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6
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Zamani A, Thomas E, Wright DK. Sex biology in amyotrophic lateral sclerosis. Ageing Res Rev 2024; 95:102228. [PMID: 38354985 DOI: 10.1016/j.arr.2024.102228] [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: 08/31/2023] [Revised: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
Although sex differences in amyotrophic lateral sclerosis (ALS) have not been studied systematically, numerous clinical and preclinical studies have shown sex to be influential in disease prognosis. Moreover, with the development of advanced imaging tools, the difference between male and female brain in structure and function and their response to neurodegeneration are more definitive. As discussed in this review, ALS patients exhibit a sex bias pertaining to the features of the disease, and their clinical, pathological, (and pathophysiological) phenotypes. Several epidemiological studies have indicated that this sex disparity stems from various aetiologies, including sex-specific brain structure and neural functioning, genetic predisposition, age, gonadal hormones, susceptibility to traumatic brain injury (TBI)/head trauma and lifestyle factors.
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Affiliation(s)
- Akram Zamani
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia.
| | - Emma Thomas
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
| | - David K Wright
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
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Guo K, Figueroa-Romero C, Noureldein MH, Murdock BJ, Savelieff MG, Hur J, Goutman SA, Feldman EL. Gut microbiome correlates with plasma lipids in amyotrophic lateral sclerosis. Brain 2024; 147:665-679. [PMID: 37721161 PMCID: PMC10834248 DOI: 10.1093/brain/awad306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/21/2023] [Accepted: 08/29/2023] [Indexed: 09/19/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a complex, fatal neurodegenerative disease. Disease pathophysiology is incompletely understood but evidence suggests gut dysbiosis occurs in ALS, linked to impaired gastrointestinal integrity, immune system dysregulation and altered metabolism. Gut microbiome and plasma metabolome have been separately investigated in ALS, but little is known about gut microbe-plasma metabolite correlations, which could identify robust disease biomarkers and potentially shed mechanistic insight. Here, gut microbiome changes were longitudinally profiled in ALS and correlated to plasma metabolome. Gut microbial structure at the phylum level differed in ALS versus control participants, with differential abundance of several distinct genera. Unsupervised clustering of microbe and metabolite levels identified modules, which differed significantly in ALS versus control participants. Network analysis found several prominent amplicon sequence variants strongly linked to a group of metabolites, primarily lipids. Similarly, identifying the features that contributed most to case versus control separation pinpointed several bacteria correlated to metabolites, predominantly lipids. Mendelian randomization indicated possible causality from specific lipids related to fatty acid and acylcarnitine metabolism. Overall, the results suggest ALS cases and controls differ in their gut microbiome, which correlates with plasma metabolites, particularly lipids, through specific genera. These findings have the potential to identify robust disease biomarkers and shed mechanistic insight into ALS.
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Affiliation(s)
- Kai Guo
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Claudia Figueroa-Romero
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mohamed H Noureldein
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Benjamin J Murdock
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Masha G Savelieff
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
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Jonson C, Levine KS, Lake J, Hertslet L, Jones L, Patel D, Kim J, Bandres-Ciga S, Terry N, Mata IF, Blauwendraat C, Singleton AB, Nalls MA, Yokoyama JS, Leonard HL. Assessing the lack of diversity in genetics research across neurodegenerative diseases: a systematic review of the GWAS Catalog and literature. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.08.24301007. [PMID: 38260595 PMCID: PMC10802650 DOI: 10.1101/2024.01.08.24301007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Importance The under-representation of participants with non-European ancestry in genome-wide association studies (GWAS) is a critical issue that has significant implications, including hindering the progress of precision medicine initiatives. This issue is particularly significant in the context of neurodegenerative diseases (NDDs), where current therapeutic approaches have shown limited success. Addressing this under-representation is crucial to harnessing the full potential of genomic medicine in underserved communities and improving outcomes for NDD patients. Objective Our primary objective was to assess the representation of non-European ancestry participants in genetic discovery efforts related to NDDs. We aimed to quantify the extent of inclusion of diverse ancestry groups in NDD studies and determine the number of associated loci identified in more inclusive studies. Specifically, we sought to highlight the disparities in research efforts and outcomes between studies predominantly involving European ancestry participants and those deliberately targeting non-European or multi-ancestry populations across NDDs. Evidence Review We conducted a systematic review utilizing existing GWAS results and publications to assess the inclusion of diverse ancestry groups in neurodegeneration and neurogenetics studies. Our search encompassed studies published up to the end of 2022, with a focus on identifying research that deliberately included non-European or multi-ancestry cohorts. We employed rigorous methods for the inclusion of identified articles and quality assessment. Findings Our review identified a total of 123 NDD GWAS. Strikingly, 82% of these studies predominantly featured participants of European ancestry. Endeavors specifically targeting non-European or multi-ancestry populations across NDDs identified only 52 risk loci. This contrasts with predominantly European studies, which reported over 90 risk loci for a single disease. Encouragingly, over 65% of these discoveries occurred in 2020 or later, indicating a recent increase in studies deliberately including non-European cohorts. Conclusions and relevance Our findings underscore the pressing need for increased diversity in neurodegenerative research. The significant under-representation of non-European ancestry participants in NDD GWAS limits our understanding of the genetic underpinnings of these diseases. To advance the field of neurodegenerative research and develop more effective therapies, it is imperative that future investigations prioritize and harness the genomic diversity present within and across global populations.
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Affiliation(s)
- Caroline Jonson
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, San Francisco, CA, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA
| | - Kristin S. Levine
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
| | - Julie Lake
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Linnea Hertslet
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
| | - Lietsel Jones
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
| | - Dhairya Patel
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jeff Kim
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Sara Bandres-Ciga
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
| | - Nancy Terry
- Division of Library Services, Office of Research Services, National Institutes of Health, Bethesda, Maryland, U.S.A
| | - Ignacio F. Mata
- Genomic Medicine Institute, Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Andrew B. Singleton
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Mike A. Nalls
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Jennifer S. Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, San Francisco, CA, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA USA
| | - Hampton L. Leonard
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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Tang L, Tang X, Zhao Q, Li Y, Bu Y, Liu Z, Li J, Guo J, Shen L, Jiang H, Tang B, Xu R, Cao W, Yuan Y, Wang J. Mutation and clinical analysis of the CLCC1 gene in amyotrophic lateral sclerosis patients from Central South China. Ann Clin Transl Neurol 2024; 11:79-88. [PMID: 37916886 PMCID: PMC10791024 DOI: 10.1002/acn3.51934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/09/2023] [Accepted: 10/18/2023] [Indexed: 11/03/2023] Open
Abstract
INTRODUCTION Recently, chloride channel CLIC-like 1 (CLCC1) was reported to be a novel ALS-related gene. We aimed to screen CLCC1 variants in our ALS cohort and further explore the genotype-phenotype correlation of CLCC1-related ALS. METHODS We screened rare damaging variants in CLCC1 from our cohorts of 1005 ALS patients and 1224 healthy controls with whole-exome sequencing in Central South China. Fisher's exact test was conducted for association analysis at the entire gene level and single variant level. RESULTS In total, four heterozygous missense variants in CLCC1 were identified from four unrelated sporadic ALS patients and predicted to be putative pathogenic by in silico tools and protein model prediction, accounting for 0.40% of all patients (4/1005). The four variants were c.A275C (p.Q92P), c.G1139A (p.R380K), c.C1244T (p.T415M), and c.G1328A (p.R443Q), respectively, which had not been reported in ALS patients previously. Three of four variants were located in exon 10. Patients harboring CLCC1 variants seemed to share a group of similar clinical features, including earlier age at onset, rapid progression, spinal onset, and vulnerable cognitive status. Statistically, we did not find CLCC1 to be associated with the risk of ALS at the entire gene level or single variant level. CONCLUSION Our findings further expanded the genetic and clinical spectrum of CLCC1-related ALS and provided more genetic evidence for anion channel involvement in the pathogenesis of ALS, but further investigations are needed to verify our findings.
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Affiliation(s)
- Linxin Tang
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Xuxiong Tang
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Qianqian Zhao
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Yongchao Li
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Yue Bu
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Zhen Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
| | - Jifeng Guo
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
- Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaP. R. China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaP. R. China
- Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Neurodegenerative DiseasesChangshaP. R. China
| | - Lu Shen
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
- Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaP. R. China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaP. R. China
- Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Neurodegenerative DiseasesChangshaP. R. China
| | - Hong Jiang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
- Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaP. R. China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaP. R. China
- Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Neurodegenerative DiseasesChangshaP. R. China
| | - Beisha Tang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
- Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaP. R. China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaP. R. China
- Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Neurodegenerative DiseasesChangshaP. R. China
| | - Renshi Xu
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Jiangxi Provincial People's Hospital, Clinical College of Nanchang Medical CollegeFirst Affiliated Hospital of Nanchang Medical CollegeNanchangP. R. China
| | - Wenfeng Cao
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Jiangxi Provincial People's Hospital, Clinical College of Nanchang Medical CollegeFirst Affiliated Hospital of Nanchang Medical CollegeNanchangP. R. China
| | - Yanchun Yuan
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
| | - Junling Wang
- Department of Neurology, Xiangya HospitalCentral South University, Jiangxi Hospital, National Regional Center for Neurological DiseasesNanchangP. R. China
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaP. R. China
- National Clinical Research Center for Geriatric Diseases, Xiangya HospitalCentral South UniversityChangshaP. R. China
- Center for Medical Genetics, School of Life SciencesCentral South UniversityChangshaP. R. China
- Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaP. R. China
- Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaP. R. China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaP. R. China
- Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Neurodegenerative DiseasesChangshaP. R. China
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10
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Li C, Wei Q, Hou Y, Lin J, Ou R, Zhang L, Jiang Q, Xiao Y, Liu K, Chen X, Yang T, Song W, Zhao B, Wu Y, Shang H. Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis. Mol Neurodegener 2023; 18:77. [PMID: 37872557 PMCID: PMC10594666 DOI: 10.1186/s13024-023-00669-6] [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: 02/07/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Patients with amyotrophic lateral sclerosis (ALS) demonstrate great heterogeneity in the age at onset (AAO), which is closely related to the course of disease. However, most genetic studies focused on the risk of ALS, while the genetic background underlying AAO of ALS is still unknown. METHODS To identify genetic determinants influencing AAO of ALS, we performed genome-wide association analysis using a Cox proportional hazards model in 2,841 patients with ALS (Ndiscovery = 2,272, Nreplication = 569) in the Chinese population. We further conducted colocalization analysis using public cis-eQTL dataset, and Mendelian randomization analysis to identify risk factors for AAO of ALS. Finally, functional experiments including dual-luciferase reporter assay and RT-qPCR were performed to explore the regulatory effect of the target variant. RESULTS The total heritability of AAO of ALS was ~ 0.24. One novel locus rs10128627 (FRMD8) was significantly associated with earlier AAO by ~ 3.15 years (P = 1.54E-08, beta = 0.31, SE = 0.05). This locus was cis-eQTL of NEAT1 in multiple brain tissues and blood. Colocalization analysis detected association signals at this locus between AAO of ALS and expression of NEAT1. Furthermore, functional exploration supported the variant rs10128627 was associated with upregulated expression of NEAT1 in cell models and patients with ALS. Causal inference suggested higher total cholesterol, low-density lipoprotein, and eosinophil were nominally associated with earlier AAO of ALS, while monocyte might delay the AAO. CONCLUSIONS Collective evidence from genetic, bioinformatic, and functional results suggested NEAT1 as a key player in the disease progression of ALS. These findings improve the current understanding of the genetic role in AAO of ALS, and provide a novel target for further research on the pathogenesis and therapeutic options to delay the disease onset.
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Affiliation(s)
- Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Yanbing Hou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Lingyu Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Kuncheng Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Xueping Chen
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - TianMi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Wei Song
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Bi Zhao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Ying Wu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, West China Hospital, National Clinical Research Center for Geriatric, Sichuan University, Chengdu, China.
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11
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Ramzan F, Abrar F, Mishra GG, Liao LMQ, Martin DDO. Lost in traffic: consequences of altered palmitoylation in neurodegeneration. Front Physiol 2023; 14:1166125. [PMID: 37324388 PMCID: PMC10268010 DOI: 10.3389/fphys.2023.1166125] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/12/2023] [Indexed: 06/17/2023] Open
Abstract
One of the first molecular events in neurodegenerative diseases, regardless of etiology, is protein mislocalization. Protein mislocalization in neurons is often linked to proteostasis deficiencies leading to the build-up of misfolded proteins and/or organelles that contributes to cellular toxicity and cell death. By understanding how proteins mislocalize in neurons, we can develop novel therapeutics that target the earliest stages of neurodegeneration. A critical mechanism regulating protein localization and proteostasis in neurons is the protein-lipid modification S-acylation, the reversible addition of fatty acids to cysteine residues. S-acylation is more commonly referred to as S-palmitoylation or simply palmitoylation, which is the addition of the 16-carbon fatty acid palmitate to proteins. Like phosphorylation, palmitoylation is highly dynamic and tightly regulated by writers (i.e., palmitoyl acyltransferases) and erasers (i.e., depalmitoylating enzymes). The hydrophobic fatty acid anchors proteins to membranes; thus, the reversibility allows proteins to be re-directed to and from membranes based on local signaling factors. This is particularly important in the nervous system, where axons (output projections) can be meters long. Any disturbance in protein trafficking can have dire consequences. Indeed, many proteins involved in neurodegenerative diseases are palmitoylated, and many more have been identified in palmitoyl-proteomic studies. It follows that palmitoyl acyl transferase enzymes have also been implicated in numerous diseases. In addition, palmitoylation can work in concert with cellular mechanisms, like autophagy, to affect cell health and protein modifications, such as acetylation, nitrosylation, and ubiquitination, to affect protein function and turnover. Limited studies have further revealed a sexually dimorphic pattern of protein palmitoylation. Therefore, palmitoylation can have wide-reaching consequences in neurodegenerative diseases.
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12
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Mead RJ, Shan N, Reiser HJ, Marshall F, Shaw PJ. Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation. Nat Rev Drug Discov 2023; 22:185-212. [PMID: 36543887 PMCID: PMC9768794 DOI: 10.1038/s41573-022-00612-2] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2022] [Indexed: 12/24/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating disease caused by degeneration of motor neurons. As with all major neurodegenerative disorders, development of disease-modifying therapies has proven challenging for multiple reasons. Nevertheless, ALS is one of the few neurodegenerative diseases for which disease-modifying therapies are approved. Significant discoveries and advances have been made in ALS preclinical models, genetics, pathology, biomarkers, imaging and clinical readouts over the last 10-15 years. At the same time, novel therapeutic paradigms are being applied in areas of high unmet medical need, including neurodegenerative disorders. These developments have evolved our knowledge base, allowing identification of targeted candidate therapies for ALS with diverse mechanisms of action. In this Review, we discuss how this advanced knowledge, aligned with new approaches, can enable effective translation of therapeutic agents from preclinical studies through to clinical benefit for patients with ALS. We anticipate that this approach in ALS will also positively impact the field of drug discovery for neurodegenerative disorders more broadly.
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Affiliation(s)
- Richard J Mead
- Sheffield Institute for Translational Neuroscience, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK
- Neuroscience Institute, University of Sheffield, Sheffield, UK
- Keapstone Therapeutics, The Innovation Centre, Broomhall, Sheffield, UK
| | - Ning Shan
- Aclipse Therapeutics, Radnor, PA, US
| | | | - Fiona Marshall
- MSD UK Discovery Centre, Merck, Sharp and Dohme (UK) Limited, London, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Sheffield, UK.
- Keapstone Therapeutics, The Innovation Centre, Broomhall, Sheffield, UK.
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13
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Suzuki N, Nishiyama A, Warita H, Aoki M. Genetics of amyotrophic lateral sclerosis: seeking therapeutic targets in the era of gene therapy. J Hum Genet 2023; 68:131-152. [PMID: 35691950 PMCID: PMC9968660 DOI: 10.1038/s10038-022-01055-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/17/2022] [Accepted: 05/29/2022] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is an intractable disease that causes respiratory failure leading to mortality. The main locus of ALS is motor neurons. The success of antisense oligonucleotide (ASO) therapy in spinal muscular atrophy (SMA), a motor neuron disease, has triggered a paradigm shift in developing ALS therapies. The causative genes of ALS and disease-modifying genes, including those of sporadic ALS, have been identified one after another. Thus, the freedom of target choice for gene therapy has expanded by ASO strategy, leading to new avenues for therapeutic development. Tofersen for superoxide dismutase 1 (SOD1) was a pioneer in developing ASO for ALS. Improving protocols and devising early interventions for the disease are vital. In this review, we updated the knowledge of causative genes in ALS. We summarized the genetic mutations identified in familial ALS and their clinical features, focusing on SOD1, fused in sarcoma (FUS), and transacting response DNA-binding protein. The frequency of the C9ORF72 mutation is low in Japan, unlike in Europe and the United States, while SOD1 and FUS are more common, indicating that the target mutations for gene therapy vary by ethnicity. A genome-wide association study has revealed disease-modifying genes, which could be the novel target of gene therapy. The current status and prospects of gene therapy development were discussed, including ethical issues. Furthermore, we discussed the potential of axonal pathology as new therapeutic targets of ALS from the perspective of early intervention, including intra-axonal transcription factors, neuromuscular junction disconnection, dysregulated local translation, abnormal protein degradation, mitochondrial pathology, impaired axonal transport, aberrant cytoskeleton, and axon branching. We simultaneously discuss important pathological states of cell bodies: persistent stress granules, disrupted nucleocytoplasmic transport, and cryptic splicing. The development of gene therapy based on the elucidation of disease-modifying genes and early intervention in molecular pathology is expected to become an important therapeutic strategy in ALS.
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Affiliation(s)
- Naoki Suzuki
- Department of Neurology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan.
| | - Ayumi Nishiyama
- Department of Neurology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan
| | - Hitoshi Warita
- Department of Neurology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan.
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14
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Nona RJ, Greer JM, Henderson RD, McCombe PA. HLA and amyotrophic lateral sclerosis: a systematic review and meta-analysis. Amyotroph Lateral Scler Frontotemporal Degener 2023; 24:24-32. [PMID: 35616250 DOI: 10.1080/21678421.2022.2078665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease associated with loss of upper and lower motor neurones. It leads to death by respiratory failure and has a typical prognosis of 2-3 years. The immune system has been shown to play a role in the pathophysiology of ALS. Some of the most important immune genes are within the human leukocyte antigen (HLA) region, and a recent genome-wide association study (GWAS) has identified a risk allele for ALS within the HLA region. Older studies have also suggested an HLA association with ALS, with certain HLA alleles showing differing expression between patients and controls. This systematic review and meta-analysis examines the previous studies performed in this field.Methods: We used established publication search engines. Findings were excluded if they did not meet the selection criteria. We then undertook statistical meta-analysis on the eligible papers, using a fixed effects model.Results: There were eight eligible papers. There were three statistically significant meta-analysis findings, although these would not be significant after correction for multiple comparisons. The frequencies of HLA-A9 and HLA-DR4 genotypes were lower in ALS subjects than controls, and HLA-B35 was higher in ALS subjects.Discussion: This systematic review and meta-analysis do not confirm all the previously reported associations of HLA with ALS, but shows three alleles of interest. However, there are limitations to the studies, which include the use of older serotyping methodology and the small numbers of subjects. Given the recent GWAS association with HLA, further modern HLA studies are warranted.
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Affiliation(s)
- R J Nona
- The University of Queensland Centre for Clinical Research, Brisbane, Australia.,Department of Neurology, the Royal Brisbane & Women's Hospital, Brisbane, Australia
| | - J M Greer
- The University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - R D Henderson
- The University of Queensland Centre for Clinical Research, Brisbane, Australia.,Department of Neurology, the Royal Brisbane & Women's Hospital, Brisbane, Australia
| | - P A McCombe
- The University of Queensland Centre for Clinical Research, Brisbane, Australia.,Department of Neurology, the Royal Brisbane & Women's Hospital, Brisbane, Australia
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15
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Chen S, Huang W, He T, Zhang M, Jin X, Jiang L, Xu H, Chen K. Exploring the Causality Between Plasma Brain-Derived Neurotrophic Factor and Neurological Diseases: A Mendelian Randomization Study. J Alzheimers Dis 2023; 96:135-148. [PMID: 37742652 DOI: 10.3233/jad-230693] [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] [Indexed: 09/26/2023]
Abstract
BACKGROUND Brain-derived neurotrophic factor (BDNF) is a protein synthesized in the brain and widely expressed in the nervous system. Previous studies have demonstrated a controversial role of BDNF in neurological diseases. OBJECTIVE In this study, we aimed to assess the association between BDNF levels and the risk of neurological diseases by Mendelian randomization analysis. METHODS From a genome-wide association analysis of plasma proteins comprising 3,301 European participants, we isolated 25 genetic variations as instrumental variables for BDNF levels. Summary statistics data on six common neurological diseases as outcome variables. Two-sample Mendelian randomization (MR) analysis was used to assess whether plasma BDNF is causally related to neurological diseases. We also performed sensitivity analysis to ensure the robustness of the results and reverse MR to exclude potential reverse causality. RESULTS We confirmed the significant causal relationship between BDNF levels and the risk of Alzheimer's disease (AD) (OR, 0.92; 95% CI, 0.85, 0.98; p = 0.013). Other methods have also shown similar results. We infer that BDNF also reduces the risk of epilepsy (OR, 0.94; 95% CI, 0.90, 0.98; p = 0.004). In reverse MR analysis, we also found that AD can affect the level of BDNF. CONCLUSIONS Our study suggests higher plasma BDNF was associated with the reduced risk of AD. Moreover, higher plasma BDNF is a protective factor on AD and focal epilepsy. The results provide credence to the idea that BDNF may play a significant role in the development of focal epilepsy and AD.
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Affiliation(s)
- Shihao Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenting Huang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Tao He
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Mulan Zhang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xing Jin
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | | | - Huiqin Xu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Keyang Chen
- Department of Neurology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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16
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Liu H, Guan L, Deng M, Bolund L, Kristiansen K, Zhang J, Luo Y, Zhang Z. Integrative genetic and single cell RNA sequencing analysis provides new clues to the amyotrophic lateral sclerosis neurodegeneration. Front Neurosci 2023; 17:1116087. [PMID: 36875658 PMCID: PMC9983639 DOI: 10.3389/fnins.2023.1116087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/02/2023] [Indexed: 02/19/2023] Open
Abstract
Introduction The gradual loss of motor neurons (MNs) in the brain and spinal cord is a hallmark of amyotrophic lateral sclerosis (ALS), but the mechanisms underlying neurodegeneration in ALS are still not fully understood. Methods Based on 75 ALS-pathogenicity/susceptibility genes and large-scale single-cell transcriptomes of human/mouse brain/spinal cord/muscle tissues, we performed an expression enrichment analysis to identify cells involved in ALS pathogenesis. Subsequently, we created a strictness measure to estimate the dosage requirement of ALS-related genes in linked cell types. Results Remarkably, expression enrichment analysis showed that α- and γ-MNs, respectively, are associated with ALS-susceptibility genes and ALS-pathogenicity genes, revealing differences in biological processes between sporadic and familial ALS. In MNs, ALS-susceptibility genes exhibited high strictness, as well as the ALS-pathogenicity genes with known loss of function mechanism, indicating the main characteristic of ALS-susceptibility genes is dosage-sensitive and the loss of function mechanism of these genes may involve in sporadic ALS. In contrast, ALS-pathogenicity genes with gain of function mechanism exhibited low strictness. The significant difference of strictness between loss of function genes and gain of function genes provided a priori understanding for the pathogenesis of novel genes without an animal model. Besides MNs, we observed no statistical evidence for an association between muscle cells and ALS-related genes. This result may provide insight into the etiology that ALS is not within the domain of neuromuscular diseases. Moreover, we showed several cell types linked to other neurological diseases [i.e., spinocerebellar ataxia (SA), hereditary motor neuropathies (HMN)] and neuromuscular diseases [i.e. hereditary spastic paraplegia (SPG), spinal muscular atrophy (SMA)], including an association between Purkinje cells in brain and SA, an association between α-MNs in spinal cord and SA, an association between smooth muscle cells and SA, an association between oligodendrocyte and HMN, a suggestive association between γ-MNs and HMN, a suggestive association between mature skeletal muscle and HMN, an association between oligodendrocyte in brain and SPG, and no statistical evidence for an association between cell type and SMA. Discussion These cellular similarities and differences deepened our understanding of the heterogeneous cellular basis of ALS, SA, HMN, SPG, and SMA.
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Affiliation(s)
- Hankui Liu
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, BGI-Shijiazhuang Medical Laboratory, Shijiazhuang, China.,BGI-Shenzhen, Shenzhen, China
| | - Liping Guan
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, BGI-Shijiazhuang Medical Laboratory, Shijiazhuang, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Min Deng
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China
| | - Lars Bolund
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, Qingdao, China.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Karsten Kristiansen
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jianguo Zhang
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, BGI-Shijiazhuang Medical Laboratory, Shijiazhuang, China.,BGI-Shenzhen, Shenzhen, China
| | - Yonglun Luo
- BGI-Shenzhen, Shenzhen, China.,Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, Qingdao, China.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Zhanchi Zhang
- Department of Human Anatomy, Hebei Medical University, Shijiazhuang, Hebei, China.,Hebei Key Laboratory of Neurodegenerative Disease Mechanism, Hebei Medical University, Shijiazhuang, China
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17
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Fatty acids derived from the probiotic Lacticaseibacillus rhamnosus HA-114 suppress age-dependent neurodegeneration. Commun Biol 2022; 5:1340. [PMID: 36477191 PMCID: PMC9729297 DOI: 10.1038/s42003-022-04295-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/24/2022] [Indexed: 12/12/2022] Open
Abstract
The human microbiota is believed to influence health. Microbiome dysbiosis may be linked to neurological conditions like Alzheimer's disease, amyotrophic lateral sclerosis, and Huntington's disease. We report the ability of a probiotic bacterial strain in halting neurodegeneration phenotypes. We show that Lacticaseibacillus rhamnosus HA-114 is neuroprotective in C. elegans models of amyotrophic lateral sclerosis and Huntington's disease. Our results show that neuroprotection from L. rhamnosus HA-114 is unique from other L. rhamnosus strains and resides in its fatty acid content. Neuroprotection by L. rhamnosus HA-114 requires acdh-1/ACADSB, kat-1/ACAT1 and elo-6/ELOVL3/6, which are associated with fatty acid metabolism and mitochondrial β-oxidation. Our data suggest that disrupted lipid metabolism contributes to neurodegeneration and that dietary intervention with L. rhamnosus HA-114 restores lipid homeostasis and energy balance through mitochondrial β-oxidation. Our findings encourage the exploration of L. rhamnosus HA-114 derived interventions to modify the progression of neurodegenerative diseases.
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18
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Hartmann H, Ho WY, Chang JC, Ling SC. Cholesterol dyshomeostasis in amyotrophic lateral sclerosis: cause, consequence, or epiphenomenon? FEBS J 2022; 289:7688-7709. [PMID: 34469619 DOI: 10.1111/febs.16175] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/10/2021] [Accepted: 08/31/2021] [Indexed: 01/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS), the most common adult-onset motor neuron disease, is characterized by the selective degeneration of motor neurons leading to paralysis and eventual death. Multiple pathogenic mechanisms, including systemic dysmetabolism, have been proposed to contribute to ALS. Among them, dyslipidemia, i.e., abnormal level of cholesterol and other lipids in the circulation and central nervous system (CNS), has been reported in ALS patients, but without a consensus. Cholesterol is a constituent of cellular membranes and a precursor of steroid hormones, oxysterols, and bile acids. Consequently, optimal cholesterol levels are essential for health. Due to the blood-brain barrier (BBB), cholesterol cannot move between the CNS and the rest of the body. As such, cholesterol metabolism in the CNS is proposed to operate autonomously. Despite its importance, it remains elusive how cholesterol dyshomeostasis may contribute to ALS. In this review, we aim to describe the current state of cholesterol metabolism research in ALS, identify unresolved issues, and provide potential directions.
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Affiliation(s)
- Hannelore Hartmann
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wan Yun Ho
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jer-Cherng Chang
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shuo-Chien Ling
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Healthy Longevity Translational Research Programme, National University Health System, Singapore, Singapore.,Program in Neuroscience and Behavior Disorders, Duke-NUS Medical School, Singapore, Singapore
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19
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Wu Z, Sun J, Liao Z, Qiao J, Chen C, Ling C, Wang H. An update on the therapeutic implications of long-chain acyl-coenzyme A synthetases in nervous system diseases. Front Neurosci 2022; 16:1030512. [PMID: 36507355 PMCID: PMC9731139 DOI: 10.3389/fnins.2022.1030512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Long-chain acyl-coenzyme A synthetases (ACSLs) are a family of CoA synthetases that activate fatty acid (FA) with chain lengths of 12-20 carbon atoms by forming the acyl-AMP derivative in an isozyme-specific manner. This family mainly includes five members (ACSL1, ACSL3, ACSL4, ACSL5, and ACSL6), which are thought to have specific and different functions in FA metabolism and oxidative stress of mammals. Accumulating evidence shows that the dysfunction of ACSLs is likely to affect cell proliferation and lead to metabolic diseases in multiple organs and systems through different signaling pathways and molecular mechanisms. Hence, a central theme of this review is to emphasize the therapeutic implications of ACSLs in nervous system disorders.
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Affiliation(s)
- Zhimin Wu
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jun Sun
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhi Liao
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jia Qiao
- Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Chuan Chen
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Cong Ling
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hui Wang
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,*Correspondence: Hui Wang,
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20
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Abstract
PURPOSE OF REVIEW ALS genetics are highly dynamic and of great interest for the ALS research community. Each year, by using ever-growing datasets and cutting-edge methodology, an array of novel ALS-associated genes and downstream pathomechanisms are discovered. The increasing plenty and complexity of insights warrants regular summary by-reviews. RECENT FINDINGS Most recent disease gene discoveries constitute the candidate and risk genes SPTLC1 , KANK1 , CAV1 , HTT , and WDR7 , as well as seven novel risk loci. Cell type and functional enrichment analyses enlighten the genetic basis of selective motor neuron vulnerability in ALS demonstrating high expression of ALS-associated genes in cortical motor neurons and highlight the pathogenic significance of cell-autonomous processes. Major pathomechanistic insights have been gained regarding known ALS genes/proteins, specifically C9orf72 , TDP43, ANXA11 , and KIF5A . The first ASO-based gene-specific therapy trials in familial forms of ALS have yielded equivocal results stressing the re-evaluation of pathomechanisms linked to SOD1 and C9orf72 mutations. SUMMARY The genetic and molecular basis of ALS is increasingly examined on single-cell resolution. In the past 2 years, the understanding of the downstream mechanisms of several ALS genes and TDP-43 proteinopathy has been considerably extended. These insights will result in novel gene specific therapy approaches for sporadic ALS and genetic subtypes.
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21
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Trait Analysis in Domestic Rabbits (Oryctolagus cuniculus f. domesticus) Using SNP Markers from Genotyping-by-Sequencing Data. Animals (Basel) 2022; 12:ani12162052. [PMID: 36009642 PMCID: PMC9404428 DOI: 10.3390/ani12162052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Rabbit breeding is an important branch of agricultural animal breeding; their fur color and weight are desirable traits for artificial breeding. Polymorphism can provide potential molecular markers for studying rabbit traits and improve rabbit breeds with such markers in the future. In this study, single-nucleotide polymorphism markers in genotyping-by-sequencing data were used to analyze rabbit traits. In total, three genes were identified to be associated with fur color and four with weight. The results of this study provide a data base for the research and improvement of rabbit breeding program. Abstract The domestic rabbit (Oryctolagus cuniculus f. domesticus) is a very important variety in biomedical research and agricultural animal breeding. Due to the different geographical areas in which rabbit breeds originated, and the long history of domestication/artificial breeding, rabbits have experienced strong selection pressure, which has shaped many traits of most rabbit varieties, such as color and weight. An efficient genome-wide single-nucleotide polymorphism (SNP) detection strategy is genotyping-by-sequencing (GBS), which has been widely used in many organisms. This study attempted to explore bi-allelic SNPs associated with fur color and weight-related traits using GBS in five rabbit breeds. The data consisted of a total 831,035 SNPs in 150 individuals from Californian rabbits (CF), German Zika rabbits (ZK), Qixing rabbits (QX), Sichuan grey rabbits (SG), and Sichuan white rabbits (SW). In addition, these five breeds of rabbits were obviously independent populations, with high genetic differentiation among breeds and low genetic diversity within breeds. A total of 32,144 SNP sites were identified by selective sweep among the different varieties. The genes that carried SNP loci in these selected regions were related to important traits (fur color and weight) and signal pathways, such as the MAPK/ERK signaling pathway and the Hippo signaling pathway. In addition, genes related to fur color and weight were identified, such as ASIPs, MITFs and KITs, ADCY3s, YAPs, FASs, and ACSL5s, and they had more SNP sites. The research offers the foundation for further exploration of molecular genetic markers of SNPs that are related to traits.
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22
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Rajcsanyi LS, Diebels I, Pastoors L, Kanber D, Peters T, Volckmar AL, Zheng Y, Grosse M, Dieterich C, Hebebrand J, Kaiser FJ, Horsthemke B, Hinney A. Evidence for correlations between BMI-associated SNPs and circRNAs. Sci Rep 2022; 12:12643. [PMID: 35879369 PMCID: PMC9314347 DOI: 10.1038/s41598-022-16495-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 07/11/2022] [Indexed: 11/25/2022] Open
Abstract
Circular RNAs (circRNAs) are regulators of processes like adipogenesis. Their expression can be modulated by SNPs. We analysed links between BMI-associated SNPs and circRNAs. First, we detected an enrichment of BMI-associated SNPs on circRNA genomic loci in comparison to non-significant variants. Analysis of sex-stratified GWAS data revealed that circRNA genomic loci encompassed more genome-wide significant BMI-SNPs in females than in males. To explore whether the enrichment is restricted to BMI, we investigated nine additional GWAS studies. We showed an enrichment of trait-associated SNPs in circRNAs for four analysed phenotypes (body height, chronic kidney disease, anorexia nervosa and autism spectrum disorder). To analyse the influence of BMI-affecting SNPs on circRNA levels in vitro, we examined rs4752856 located on hsa_circ_0022025. The analysis of heterozygous individuals revealed an increased level of circRNA derived from the BMI-increasing SNP allele. We conclude that genetic variation may affect the BMI partly through circRNAs.
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Affiliation(s)
- Luisa Sophie Rajcsanyi
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany. .,Center for Translational Neuro- and Behavioural Sciences, University Hospital Essen, Essen, Germany.
| | - Inga Diebels
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lydia Pastoors
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Deniz Kanber
- Institute of Human Genetics, University Hospital Essen, Essen, Germany
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Center for Translational Neuro- and Behavioural Sciences, University Hospital Essen, Essen, Germany
| | - Anna-Lena Volckmar
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Yiran Zheng
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Center for Translational Neuro- and Behavioural Sciences, University Hospital Essen, Essen, Germany
| | - Martin Grosse
- Institute of Human Genetics, University Hospital Essen, Essen, Germany
| | - Christoph Dieterich
- Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany.,German Center for Cardiovascular Research (DZHK), Partner site Heidelberg/Mannheim, Heidelberg, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.,Center for Translational Neuro- and Behavioural Sciences, University Hospital Essen, Essen, Germany
| | - Frank J Kaiser
- Institute of Human Genetics, University Hospital Essen, Essen, Germany
| | | | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany. .,Center for Translational Neuro- and Behavioural Sciences, University Hospital Essen, Essen, Germany.
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23
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Nelson AT, Trotti D. Altered Bioenergetics and Metabolic Homeostasis in Amyotrophic Lateral Sclerosis. Neurotherapeutics 2022; 19:1102-1118. [PMID: 35773551 PMCID: PMC9587161 DOI: 10.1007/s13311-022-01262-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2022] [Indexed: 01/07/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that primarily affects motor neurons and causes muscle atrophy, paralysis, and death. While a great deal of progress has been made in deciphering the underlying pathogenic mechanisms, no effective treatments for the disease are currently available. This is mainly due to the high degree of complexity and heterogeneity that characterizes the disease. Over the last few decades of research, alterations to bioenergetic and metabolic homeostasis have emerged as a common denominator across many different forms of ALS. These alterations are found at the cellular level (e.g., mitochondrial dysfunction and impaired expression of monocarboxylate transporters) and at the systemic level (e.g., low BMI and hypermetabolism) and tend to be associated with survival or disease outcomes in patients. Furthermore, an increasing amount of preclinical evidence and some promising clinical evidence suggests that targeting energy metabolism could be an effective therapeutic strategy. This review examines the evidence both for and against these ALS-associated metabolic alterations and highlights potential avenues for therapeutic intervention.
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Affiliation(s)
- Andrew T Nelson
- Jefferson Weinberg ALS Center, Vickie and Jack Farber Institute for Neuroscience, Department of Neuroscience, Thomas Jefferson University, 900 Walnut Street, JHN Bldg., 4th floor, room 416, Philadelphia, PA, 19107, USA
| | - Davide Trotti
- Jefferson Weinberg ALS Center, Vickie and Jack Farber Institute for Neuroscience, Department of Neuroscience, Thomas Jefferson University, 900 Walnut Street, JHN Bldg., 4th floor, room 416, Philadelphia, PA, 19107, USA.
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24
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Pan S, Liu X, Liu T, Zhao Z, Dai Y, Wang YY, Jia P, Liu F. Causal Inference of Genetic Variants and Genes in Amyotrophic Lateral Sclerosis. Front Genet 2022; 13:917142. [PMID: 35812739 PMCID: PMC9257137 DOI: 10.3389/fgene.2022.917142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal progressive multisystem disorder with limited therapeutic options. Although genome-wide association studies (GWASs) have revealed multiple ALS susceptibility loci, the exact identities of causal variants, genes, cell types, tissues, and their functional roles in the development of ALS remain largely unknown. Here, we reported a comprehensive post-GWAS analysis of the recent large ALS GWAS (n = 80,610), including functional mapping and annotation (FUMA), transcriptome-wide association study (TWAS), colocalization (COLOC), and summary data-based Mendelian randomization analyses (SMR) in extensive multi-omics datasets. Gene property analysis highlighted inhibitory neuron 6, oligodendrocytes, and GABAergic neurons (Gad1/Gad2) as functional cell types of ALS and confirmed cerebellum and cerebellar hemisphere as functional tissues of ALS. Functional annotation detected the presence of multiple deleterious variants at three loci (9p21.2, 12q13.3, and 12q14.2) and highlighted a list of SNPs that are potentially functional. TWAS, COLOC, and SMR identified 43 genes at 24 loci, including 23 novel genes and 10 novel loci, showing significant evidence of causality. Integrating multiple lines of evidence, we further proposed that rs2453555 at 9p21.2 and rs229243 at 14q12 functionally contribute to the development of ALS by regulating the expression of C9orf72 in pituitary and SCFD1 in skeletal muscle, respectively. Together, these results advance our understanding of the biological etiology of ALS, feed into new therapies, and provide a guide for subsequent functional experiments.
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Affiliation(s)
- Siyu Pan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xinxuan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Tianzi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yulin Dai
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yin-Ying Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Peilin Jia
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- *Correspondence: Fan Liu, ; Peilin Jia,
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Fan Liu, ; Peilin Jia,
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25
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Nelson RS, Dammer EB, Santiago JV, Seyfried NT, Rangaraju S. Brain Cell Type-Specific Nuclear Proteomics Is Imperative to Resolve Neurodegenerative Disease Mechanisms. Front Neurosci 2022; 16:902146. [PMID: 35784845 PMCID: PMC9243337 DOI: 10.3389/fnins.2022.902146] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/30/2022] [Indexed: 01/19/2023] Open
Abstract
Neurodegenerative diseases (NDs) involve complex cellular mechanisms that are incompletely understood. Emerging findings have revealed that disruption of nuclear processes play key roles in ND pathogenesis. The nucleus is a nexus for gene regulation and cellular processes that together, may underlie pathomechanisms of NDs. Furthermore, many genetic risk factors for NDs encode proteins that are either present in the nucleus or are involved in nuclear processes (for example, RNA binding proteins, epigenetic regulators, or nuclear-cytoplasmic transport proteins). While recent advances in nuclear transcriptomics have been significant, studies of the nuclear proteome in brain have been relatively limited. We propose that a comprehensive analysis of nuclear proteomic alterations of various brain cell types in NDs may provide novel biological and therapeutic insights. This may be feasible because emerging technical advances allow isolation and investigation of intact nuclei from post-mortem frozen human brain tissue with cell type-specific and single-cell resolution. Accordingly, nuclei of various brain cell types harbor unique protein markers which can be used to isolate cell-type specific nuclei followed by down-stream proteomics by mass spectrometry. Here we review the literature providing a rationale for investigating proteomic changes occurring in nuclei in NDs and then highlight the potential for brain cell type-specific nuclear proteomics to enhance our understanding of distinct cellular mechanisms that drive ND pathogenesis.
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Affiliation(s)
- Ruth S. Nelson
- Department of Neurology, Emory University, Atlanta, GA, United States
| | - Eric B. Dammer
- Department of Biochemistry, Emory University, Atlanta, GA, United States
| | | | | | - Srikant Rangaraju
- Department of Neurology, Emory University, Atlanta, GA, United States,*Correspondence: Srikant Rangaraju
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26
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Godoy-Corchuelo JM, Fernández-Beltrán LC, Ali Z, Gil-Moreno MJ, López-Carbonero JI, Guerrero-Sola A, Larrad-Sainz A, Matias-Guiu J, Matias-Guiu JA, Cunningham TJ, Corrochano S. Lipid Metabolic Alterations in the ALS-FTD Spectrum of Disorders. Biomedicines 2022; 10:1105. [PMID: 35625841 PMCID: PMC9138405 DOI: 10.3390/biomedicines10051105] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 02/06/2023] Open
Abstract
There is an increasing interest in the study of the relation between alterations in systemic lipid metabolism and neurodegenerative disorders, in particular in Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD). In ALS these alterations are well described and evident not only with the progression of the disease but also years before diagnosis. Still, there are some discrepancies in findings relating to the causal nature of lipid metabolic alterations, partly due to the great clinical heterogeneity in ALS. ALS presentation is within a disorder spectrum with Frontotemporal Dementia (FTD), and many patients present mixed forms of ALS and FTD, thus increasing the variability. Lipid metabolic and other systemic metabolic alterations have not been well studied in FTD, or in ALS-FTD mixed forms, as has been in pure ALS. With the recent development in lipidomics and the integration with other -omics platforms, there is now emerging data that not only facilitates the identification of biomarkers but also enables understanding of the underlying pathological mechanisms. Here, we reviewed the recent literature to compile lipid metabolic alterations in ALS, FTD, and intermediate mixed forms, with a view to appraising key commonalities or differences within the spectrum.
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Affiliation(s)
- Juan Miguel Godoy-Corchuelo
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Luis C. Fernández-Beltrán
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Zeinab Ali
- MRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK; (Z.A.); (T.J.C.)
| | - María J. Gil-Moreno
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Juan I. López-Carbonero
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Antonio Guerrero-Sola
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Angélica Larrad-Sainz
- Nutrition and Endocrinology Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain;
| | - Jorge Matias-Guiu
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Jordi A. Matias-Guiu
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Thomas J. Cunningham
- MRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK; (Z.A.); (T.J.C.)
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London W1W 7FF, UK
| | - Silvia Corrochano
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
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27
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Restuadi R, Steyn FJ, Kabashi E, Ngo ST, Cheng FF, Nabais MF, Thompson MJ, Qi T, Wu Y, Henders AK, Wallace L, Bye CR, Turner BJ, Ziser L, Mathers S, McCombe PA, Needham M, Schultz D, Kiernan MC, van Rheenen W, van den Berg LH, Veldink JH, Ophoff R, Gusev A, Zaitlen N, McRae AF, Henderson RD, Wray NR, Giacomotto J, Garton FC. Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1. Genome Med 2022; 14:7. [PMID: 35042540 PMCID: PMC8767698 DOI: 10.1186/s13073-021-01006-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 11/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a complex, late-onset, neurodegenerative disease with a genetic contribution to disease liability. Genome-wide association studies (GWAS) have identified ten risk loci to date, including the TNIP1/GPX3 locus on chromosome five. Given association analysis data alone cannot determine the most plausible risk gene for this locus, we undertook a comprehensive suite of in silico, in vivo and in vitro studies to address this. METHODS The Functional Mapping and Annotation (FUMA) pipeline and five tools (conditional and joint analysis (GCTA-COJO), Stratified Linkage Disequilibrium Score Regression (S-LDSC), Polygenic Priority Scoring (PoPS), Summary-based Mendelian Randomisation (SMR-HEIDI) and transcriptome-wide association study (TWAS) analyses) were used to perform bioinformatic integration of GWAS data (Ncases = 20,806, Ncontrols = 59,804) with 'omics reference datasets including the blood (eQTLgen consortium N = 31,684) and brain (N = 2581). This was followed up by specific expression studies in ALS case-control cohorts (microarray Ntotal = 942, protein Ntotal = 300) and gene knockdown (KD) studies of human neuronal iPSC cells and zebrafish-morpholinos (MO). RESULTS SMR analyses implicated both TNIP1 and GPX3 (p < 1.15 × 10-6), but there was no simple SNP/expression relationship. Integrating multiple datasets using PoPS supported GPX3 but not TNIP1. In vivo expression analyses from blood in ALS cases identified that lower GPX3 expression correlated with a more progressed disease (ALS functional rating score, p = 5.5 × 10-3, adjusted R2 = 0.042, Beffect = 27.4 ± 13.3 ng/ml/ALSFRS unit) with microarray and protein data suggesting lower expression with risk allele (recessive model p = 0.06, p = 0.02 respectively). Validation in vivo indicated gpx3 KD caused significant motor deficits in zebrafish-MO (mean difference vs. control ± 95% CI, vs. control, swim distance = 112 ± 28 mm, time = 1.29 ± 0.59 s, speed = 32.0 ± 2.53 mm/s, respectively, p for all < 0.0001), which were rescued with gpx3 expression, with no phenotype identified with tnip1 KD or gpx3 overexpression. CONCLUSIONS These results support GPX3 as a lead ALS risk gene in this locus, with more data needed to confirm/reject a role for TNIP1. This has implications for understanding disease mechanisms (GPX3 acts in the same pathway as SOD1, a well-established ALS-associated gene) and identifying new therapeutic approaches. Few previous examples of in-depth investigations of risk loci in ALS exist and a similar approach could be applied to investigate future expected GWAS findings.
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Affiliation(s)
- Restuadi Restuadi
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Frederik J Steyn
- School of Biomedical Sciences, The University of Queensland, QLD, Brisbane, 4072, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Brisbane, 4029, Australia
- Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia
| | - Edor Kabashi
- Imagine Institute, Institut National de la Santé et de la Recherche Médicale (INSERM) Unité 1163, Paris Descartes Université, 75015, Paris, France
- Sorbonne Université, Université Pierre et Marie Curie (UPMC), Université de Paris 06, INSERM Unité 1127, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche 7225, Institut du Cerveau et de la Moelle Épinière (ICM), 75013, Paris, France
| | - Shyuan T Ngo
- Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia
- Queensland Brain Institute, The University of Queensland, QLD, Brisbane, 4072, Australia
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Fei-Fei Cheng
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Marta F Nabais
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
- University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK
| | - Mike J Thompson
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
- Department of Bioinformatics, University of California Los Angeles, Los Angeles, CA, USA
| | - Ting Qi
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Yang Wu
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Anjali K Henders
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Leanne Wallace
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Chris R Bye
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Bradley J Turner
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Laura Ziser
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Susan Mathers
- Calvary Health Care Bethlehem, Parkdale, VIC, 3195, Australia
| | - Pamela A McCombe
- Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Brisbane, 4029, Australia
- Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia
| | - Merrilee Needham
- Fiona Stanley Hospital, Perth, WA, 6150, Australia
- Notre Dame University, Fremantle, WA, 6160, Australia
- Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, 6150, Australia
| | - David Schultz
- Department of Neurology, Flinders Medical Centre, Bedford Park, SA, 5042, Australia
| | - Matthew C Kiernan
- Brain & Mind Centre, University of Sydney, Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, 2006, Australia
| | - Wouter van Rheenen
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Roel Ophoff
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
- Department of Bioinformatics, University of California Los Angeles, Los Angeles, CA, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Noah Zaitlen
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
- Department of Bioinformatics, University of California Los Angeles, Los Angeles, CA, USA
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Allan F McRae
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Robert D Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Brisbane, 4029, Australia
- Centre for Clinical Research, The University of Queensland, QLD, Brisbane, 4019, Australia
- Queensland Brain Institute, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia
- Queensland Brain Institute, The University of Queensland, QLD, Brisbane, 4072, Australia
| | - Jean Giacomotto
- Queensland Brain Institute, The University of Queensland, QLD, Brisbane, 4072, Australia
- Queensland Centre for Mental Health Research, West Moreton Hospital and Health Service, Wacol, QLD, 4076, Australia
| | - Fleur C Garton
- Institute for Molecular Bioscience, The University of Queensland, QLD, Brisbane, 4072, Australia.
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van Rheenen W, van der Spek RAA, Bakker MK, van Vugt JJFA, Hop PJ, Zwamborn RAJ, de Klein N, Westra HJ, Bakker OB, Deelen P, Shireby G, Hannon E, Moisse M, Baird D, Restuadi R, Dolzhenko E, Dekker AM, Gawor K, Westeneng HJ, Tazelaar GHP, van Eijk KR, Kooyman M, Byrne RP, Doherty M, Heverin M, Al Khleifat A, Iacoangeli A, Shatunov A, Ticozzi N, Cooper-Knock J, Smith BN, Gromicho M, Chandran S, Pal S, Morrison KE, Shaw PJ, Hardy J, Orrell RW, Sendtner M, Meyer T, Başak N, van der Kooi AJ, Ratti A, Fogh I, Gellera C, Lauria G, Corti S, Cereda C, Sproviero D, D'Alfonso S, Sorarù G, Siciliano G, Filosto M, Padovani A, Chiò A, Calvo A, Moglia C, Brunetti M, Canosa A, Grassano M, Beghi E, Pupillo E, Logroscino G, Nefussy B, Osmanovic A, Nordin A, Lerner Y, Zabari M, Gotkine M, Baloh RH, Bell S, Vourc'h P, Corcia P, Couratier P, Millecamps S, Meininger V, Salachas F, Mora Pardina JS, Assialioui A, Rojas-García R, Dion PA, Ross JP, Ludolph AC, Weishaupt JH, Brenner D, Freischmidt A, Bensimon G, Brice A, Durr A, Payan CAM, Saker-Delye S, Wood NW, Topp S, Rademakers R, Tittmann L, Lieb W, Franke A, Ripke S, Braun A, Kraft J, Whiteman DC, Olsen CM, Uitterlinden AG, Hofman A, Rietschel M, Cichon S, Nöthen MM, Amouyel P, Traynor BJ, Singleton AB, Mitne Neto M, Cauchi RJ, Ophoff RA, Wiedau-Pazos M, Lomen-Hoerth C, van Deerlin VM, Grosskreutz J, Roediger A, Gaur N, Jörk A, Barthel T, Theele E, Ilse B, Stubendorff B, Witte OW, Steinbach R, Hübner CA, Graff C, Brylev L, Fominykh V, Demeshonok V, Ataulina A, Rogelj B, Koritnik B, Zidar J, Ravnik-Glavač M, Glavač D, Stević Z, Drory V, Povedano M, Blair IP, Kiernan MC, Benyamin B, Henderson RD, Furlong S, Mathers S, McCombe PA, Needham M, Ngo ST, Nicholson GA, Pamphlett R, Rowe DB, Steyn FJ, Williams KL, Mather KA, Sachdev PS, Henders AK, Wallace L, de Carvalho M, Pinto S, Petri S, Weber M, Rouleau GA, Silani V, Curtis CJ, Breen G, Glass JD, Brown RH, Landers JE, Shaw CE, Andersen PM, Groen EJN, van Es MA, Pasterkamp RJ, Fan D, Garton FC, McRae AF, Davey Smith G, Gaunt TR, Eberle MA, Mill J, McLaughlin RL, Hardiman O, Kenna KP, Wray NR, Tsai E, Runz H, Franke L, Al-Chalabi A, Van Damme P, van den Berg LH, Veldink JH. Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology. Nat Genet 2021; 53:1636-1648. [PMID: 34873335 PMCID: PMC8648564 DOI: 10.1038/s41588-021-00973-1] [Citation(s) in RCA: 199] [Impact Index Per Article: 66.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/18/2021] [Indexed: 02/01/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a lifetime risk of one in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry genome-wide association study (GWAS) including 29,612 patients with ALS and 122,656 controls, which identified 15 risk loci. When combined with 8,953 individuals with whole-genome sequencing (6,538 patients, 2,415 controls) and a large cortex-derived expression quantitative trait locus (eQTL) dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, short tandem repeats or regulatory effects. ALS-associated risk loci were shared with multiple traits within the neurodegenerative spectrum but with distinct enrichment patterns across brain regions and cell types. Of the environmental and lifestyle risk factors obtained from the literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. The combination of all ALS-associated signals reveals a role for perturbations in vesicle-mediated transport and autophagy and provides evidence for cell-autonomous disease initiation in glutamatergic neurons.
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Affiliation(s)
- Wouter van Rheenen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Rick A A van der Spek
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mark K Bakker
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paul J Hop
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ramona A J Zwamborn
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Niek de Klein
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Harm-Jan Westra
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Olivier B Bakker
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Patrick Deelen
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gemma Shireby
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Eilis Hannon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Matthieu Moisse
- Department of Neurosciences, Experimental Neurology and Leuven Brain Institute (LBI), KU Leuven-University of Leuven, Leuven, Belgium
- Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Denis Baird
- Translational Biology, Biogen, Boston, MA, USA
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, UK
| | - Restuadi Restuadi
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | | | - Annelot M Dekker
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Klara Gawor
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gijs H P Tazelaar
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kristel R van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Maarten Kooyman
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ross P Byrne
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Mark Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Ahmad Al Khleifat
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alfredo Iacoangeli
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit, South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Aleksey Shatunov
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nicola Ticozzi
- Department of Neurology, Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Bradley N Smith
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marta Gromicho
- Instituto de Fisiologia, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Siddharthan Chandran
- Euan MacDonald Centre for Motor Neurone Disease Research, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Suvankar Pal
- Euan MacDonald Centre for Motor Neurone Disease Research, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Karen E Morrison
- School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - John Hardy
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Richard W Orrell
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Michael Sendtner
- Institute of Clinical Neurobiology, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Meyer
- Charité University Hospital, Humboldt University, Berlin, Germany
| | - Nazli Başak
- Koç University, School of Medicine, KUTTAM-NDAL, Istanbul, Turkey
| | | | - Antonia Ratti
- Department of Neurology, Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS, Milan, Italy
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | - Isabella Fogh
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cinzia Gellera
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Milan, Italy
| | - Giuseppe Lauria
- 3rd Neurology Unit, Motor Neuron Diseases Center, Fondazione IRCCS Istituto Neurologico 'Carlo Besta', MIlan, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Stefania Corti
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
- Neurology Unit, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cristina Cereda
- Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Daisy Sproviero
- Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Sandra D'Alfonso
- Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Gianni Sorarù
- Department of Neurosciences, University of Padova, Padova, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Massimiliano Filosto
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Neurologia 1, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Andrea Calvo
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Neurologia 1, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Cristina Moglia
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Neurologia 1, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Maura Brunetti
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
| | - Antonio Canosa
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Neurologia 1, Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - Maurizio Grassano
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
| | - Ettore Beghi
- Laboratory of Neurological Diseases, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Elisabetta Pupillo
- Laboratory of Neurological Diseases, Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Giancarlo Logroscino
- Department of Clinical Research in Neurology, University of Bari at 'Pia Fondazione Card G. Panico' Hospital, Bari, Italy
| | - Beatrice Nefussy
- Neuromuscular Diseases Unit, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Alma Osmanovic
- Department of Neurology, Hannover Medical School, Hannover, Germany
- Essener Zentrum für Seltene Erkrankungen (EZSE), University Hospital Essen, Essen, Germany
| | - Angelica Nordin
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Yossef Lerner
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Center, Jerusalem, Israel
| | - Michal Zabari
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Center, Jerusalem, Israel
| | - Marc Gotkine
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Center, Jerusalem, Israel
| | - Robert H Baloh
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Neurology, Neuromuscular Division, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Shaughn Bell
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Neurology, Neuromuscular Division, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Patrick Vourc'h
- Service de Biochimie et Biologie Moléculaire, CHU de Tours, Tours, France
- UMR 1253, Université de Tours, Inserm, Tours, France
| | - Philippe Corcia
- UMR 1253, Université de Tours, Inserm, Tours, France
- Centre de référence sur la SLA, CHU de Tours, Tours, France
| | - Philippe Couratier
- Centre de référence sur la SLA, CHRU de Limoges, Limoges, France
- UMR 1094, Université de Limoges, Inserm, Limoges, France
| | - Stéphanie Millecamps
- ICM, Institut du Cerveau, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | | | - François Salachas
- ICM, Institut du Cerveau, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Département de Neurologie, Centre de référence SLA Ile de France, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | | | - Abdelilah Assialioui
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ricardo Rojas-García
- MND Clinic, Neurology Department, Hospital de la Santa Creu i Sant Pau de Barcelona, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Patrick A Dion
- Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Jay P Ross
- Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | | | - Jochen H Weishaupt
- Division of Neurodegeneration, Department of Neurology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - David Brenner
- Division of Neurodegeneration, Department of Neurology, University Medicine Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Axel Freischmidt
- Department of Neurology, Ulm University, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE) Ulm, Ulm, Germany
| | - Gilbert Bensimon
- Département de Pharmacologie Clinique, Hôpital de la Pitié-Salpêtrière, UPMC Pharmacologie, AP-HP, Paris, France
- Pharmacologie Sorbonne Université, Paris, France
- Institut du Cerveau, Paris Brain Institute ICM, Paris, France
- Laboratoire de Biostatistique, Epidémiologie Clinique, Santé Publique Innovation et Méthodologie (BESPIM), CHU-Nîmes, Nîmes, France
| | - Alexis Brice
- Sorbonne Université, Paris Brain Institute, APHP, INSERM, CNRS, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute, APHP, INSERM, CNRS, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Christine A M Payan
- Département de Pharmacologie Clinique, Hôpital de la Pitié-Salpêtrière, UPMC Pharmacologie, AP-HP, Paris, France
| | | | - Nicholas W Wood
- Department of Clinical and Movement Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Simon Topp
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Lukas Tittmann
- Popgen Biobank and Institute of Epidemiology, Christian Albrechts-University Kiel, Kiel, Germany
| | - Wolfgang Lieb
- Popgen Biobank and Institute of Epidemiology, Christian Albrechts-University Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Stephan Ripke
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
| | - Alice Braun
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
| | - Julia Kraft
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin, Berlin, Germany
| | - David C Whiteman
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Catherine M Olsen
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Andre G Uitterlinden
- Department of Internal Medicine, Genetics Laboratory, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marcella Rietschel
- Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
- Central Institute of Mental Health, Mannheim, Germany
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, Bonn, Germany
- Division of Medical Genetics, University Hospital Basel and Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine INM-1, Research Center Juelich, Juelich, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, Bonn, Germany
| | - Philippe Amouyel
- INSERM UMR1167-RID-AGE LabEx DISTALZ-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille, Centre Hospitalier of the University of Lille, Institut Pasteur de Lille, Lille, France
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Porter Neuroscience Research Center, Bethesda, MD, USA
| | | | - Ruben J Cauchi
- Centre for Molecular Medicine and Biobanking and Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Roel A Ophoff
- University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Martina Wiedau-Pazos
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | | | - Vivianna M van Deerlin
- Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Julian Grosskreutz
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
- Precision Neurology Unit, Department of Neurology, University Hospital Schleswig-Holstein, University of Luebeck, Luebeck, Germany
| | | | - Nayana Gaur
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Alexander Jörk
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Tabea Barthel
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Erik Theele
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Benjamin Ilse
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | | | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Robert Steinbach
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | | | - Caroline Graff
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Lev Brylev
- Department of Neurology, Bujanov Moscow Clinical Hospital, Moscow, Russia
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department, Moscow, Russia
- Department of Functional Biochemistry of the Nervous System, Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russia
| | - Vera Fominykh
- Department of Neurology, Bujanov Moscow Clinical Hospital, Moscow, Russia
- Department of Functional Biochemistry of the Nervous System, Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Sciences, Moscow, Russia
| | - Vera Demeshonok
- ALS-Care Center, 'GAOORDI', Medical Clinic of the St. Petersburg, St. Petersburg, Russia
| | - Anastasia Ataulina
- Department of Neurology, Bujanov Moscow Clinical Hospital, Moscow, Russia
| | - Boris Rogelj
- Department of Biotechnology, Jožef Stefan Institute, Ljubljana, Slovenia
- Biomedical Research Institute BRIS, Ljubljana, Slovenia
- Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Blaž Koritnik
- Ljubljana ALS Centre, Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Janez Zidar
- Ljubljana ALS Centre, Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Metka Ravnik-Glavač
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Damjan Glavač
- Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Zorica Stević
- Clinic of Neurology, Clinical Center of Serbia, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vivian Drory
- Neuromuscular Diseases Unit, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Monica Povedano
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ian P Blair
- Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Beben Benyamin
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Australian Centre for Precision Health and Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Robert D Henderson
- Centre for Clinical Research, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, Queensland, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Sarah Furlong
- Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Susan Mathers
- Calvary Health Care Bethlehem, Parkdale, Victoria, Australia
| | - Pamela A McCombe
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Merrilee Needham
- Fiona Stanley Hospital, Perth, Western Australia, Australia
- Notre Dame University, Fremantle, Western Australia, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Shyuan T Ngo
- Centre for Clinical Research, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, Queensland, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Garth A Nicholson
- Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Concord, New South Wales, Australia
- Molecular Medicine Laboratory, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Roger Pamphlett
- Discipline of Pathology and Department of Neuropathology, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Dominic B Rowe
- Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Frederik J Steyn
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- The School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Kelly L Williams
- Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia Institute, Randwick, New South Wales, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, the Prince of Wales Hospital, UNSW, Randwick, New South Wales, Australia
| | - Anjali K Henders
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Leanne Wallace
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Mamede de Carvalho
- Instituto de Fisiologia, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Susana Pinto
- Instituto de Fisiologia, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Vincenzo Silani
- Department of Neurology, Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
| | - Charles J Curtis
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
- NIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust (SLaM) & Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Gerome Breen
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
- NIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust (SLaM) & Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - Jonathan D Glass
- Department Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Christopher E Shaw
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Peter M Andersen
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Ewout J N Groen
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Dongsheng Fan
- Department of Neurology, Third Hospital, Peking University, Beijing, China
| | - Fleur C Garton
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, Bristol, UK
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, Bristol, UK
| | | | - Jonathan Mill
- University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Kevin P Kenna
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Ellen Tsai
- Translational Biology, Biogen, Boston, MA, USA
| | - Heiko Runz
- Translational Biology, Biogen, Boston, MA, USA
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- King's College Hospital, London, UK
| | - Philip Van Damme
- Department of Neurosciences, Experimental Neurology and Leuven Brain Institute (LBI), KU Leuven-University of Leuven, Leuven, Belgium
- Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
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Lu Y, Chen W, Wei C, Zhu Y, Xu R. Potential Common Genetic Risks of Sporadic Parkinson's Disease and Amyotrophic Lateral Sclerosis in the Han Population of Mainland China. Front Neurosci 2021; 15:753870. [PMID: 34707478 PMCID: PMC8542930 DOI: 10.3389/fnins.2021.753870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022] Open
Abstract
Sporadic Parkinson’s disease (sPD) and sporadic amyotrophic lateral sclerosis (sALS) are neurodegenerative diseases characterized by progressive and selective neuron death, with some genetic similarities. In order to investigate the genetic risk factors common to both sPD and sALS, we carried out a screen of risk alleles for sALS and related loci in 530 sPD patients and 530 controls from the Han population of Mainland China (HPMC). We selected 27 single-nucleotide polymorphisms in 10 candidate genes associated with sALS, and we performed allelotyping and genotyping to determine their frequencies in the study population as well as bioinformatics analysis to assess their functional significance in these diseases. The minor alleles of rs17115303 in DAB adaptor protein 1 (DAB1) gene and rs6030462 in protein tyrosine phosphatase receptor type T (PTPRT) gene were correlated with increased risk of both sPD and sALS. Polymorphisms of rs17115303 and rs6030462 were associated with alterations in transcription factor binding sites, secondary structures, long non-coding RNA interactions, and nervous system regulatory networks; these changes involved biological processes associated with neural cell development, differentiation, neurogenesis, migration, axonogenesis, cell adhesion, and metabolism of phosphate-containing compounds. Thus, variants of DAB1 gene (rs17115303) and PTPRT gene (rs6030462) are risk factors common to sPD and sALS in the HPMC. These findings provide insight into the molecular pathogenesis of both diseases and can serve as a basis for the development of targeted therapies.
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Affiliation(s)
- Yi Lu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wenzhi Chen
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Caihui Wei
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Yu Zhu
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
| | - Renshi Xu
- Department of Neurology, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Nanchang, China
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Cooper-Knock J, Harvey C, Zhang S, Moll T, Timpanaro IS, Kenna KP, Iacoangeli A, Veldink JH. Advances in the genetic classification of amyotrophic lateral sclerosis. Curr Opin Neurol 2021; 34:756-764. [PMID: 34343141 PMCID: PMC7612116 DOI: 10.1097/wco.0000000000000986] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease wherein disease risk and severity are, for the majority of patients, the product of interaction between multiple genetic and environmental factors. We are in a period of unprecedented discovery with new large-scale genome-wide association study (GWAS) and accelerating discovery of risk genes. However, much of the observed heritability of ALS is undiscovered and we are not yet approaching elucidation of the total genetic architecture, which will be necessary for comprehensive disease subclassification. RECENT FINDINGS We summarize recent developments and discuss the future. New machine learning models will help to address nonlinear genetic interactions. Statistical power for genetic discovery may be boosted by reducing the search-space using cell-specific epigenetic profiles and expanding our scope to include genetically correlated phenotypes. Structural variation, somatic heterogeneity and consideration of environmental modifiers represent significant challenges which will require integration of multiple technologies and a multidisciplinary approach, including clinicians, geneticists and pathologists. SUMMARY The move away from fully penetrant Mendelian risk genes necessitates new experimental designs and new standards for validation. The challenges are significant, but the potential reward for successful disease subclassification is large-scale and effective personalized medicine.
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Affiliation(s)
- Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Calum Harvey
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Sai Zhang
- Department of Genetics
- Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Tobias Moll
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Ilia Sarah Timpanaro
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kevin P Kenna
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alfredo Iacoangeli
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London
- National Institute for Health Research Biomedical Research Centre and Dementia Unit, South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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31
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Vucic S, Wray N, Henders A, Henderson RD, Talman P, Mathers S, Bellgard M, Aoun S, Birks C, Thomas G, Hansen C, Thomas G, Hogden A, Needham M, Schultz D, Soulis T, Sheean B, Milne J, Rowe D, Zoing M, Kiernan MC. MiNDAUS partnership: a roadmap for the cure and management of motor Neurone disease. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:321-328. [PMID: 34590512 DOI: 10.1080/21678421.2021.1980889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
An innovative approach to patient management, evidence-based policy development, and clinical drug trials is required to provide personalized care and to improve the likelihood of finding an effective treatment for Motor Neurone Disease (MND). The MiNDAus Partnership builds on and extends existing national collaborations in a targeted approach to improve the standard and coordination of care for people living with MND in Australia, and to enhance the prospects of discovering a cure or treatment. Relationships have been developed between leading clinical and research groups as well as patient-centered organizations, care providers, and philanthropy with a shared vision. MiNDAus has established a corporate structure and meets at least biannually to decide on how best to progress research, drug development, and patient management. The key themes are; (i) empowering patients and their family carers to engage in self-management and ensure personalized service provision, treatment, and policy development, (ii) integration of data collection so as to better inform policy development, (iii) unifying patients and carers with advocacy groups, funding bodies, clinicians and academic institutions so as to inform policy development and research, (iv) coordination of research efforts and development of standardized national infrastructure for conducting innovative clinical MND trials that can be harmonized within Australia and with international trials consortia. Such a collaborative approach is required across stakeholders in order to develop innovative management guidelines, underpinned by necessary and evidence-based policy change recommendations, which, will ensure the best patient care until a cure is discovered.
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Affiliation(s)
- Steve Vucic
- Brain and Nerve Research Center, Concord Clinical School, University of Sydney and Concord Hospital, Sydney, Australia
| | - Naomi Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Anjali Henders
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Robert D Henderson
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Australia
| | - Paul Talman
- Deakin University, University Hospital Geelong, Geelong, Australia
| | - Susan Mathers
- Department of Neurology, Calvary Health Care Bethlehem Monash University, Melbourne, Australia
| | - Matthew Bellgard
- Office of eResearch, Queensland University of Technology, Brisbane, Australia
| | - Samar Aoun
- Perron Institute for Neurological and translational Science, Perth, Western Australia.,La Trobe University, Melbourne, Victoria
| | | | | | | | - Geoff Thomas
- Thomas MND Research Group, Adelaide, South Australia, Australia
| | - Anne Hogden
- Australian Institute of Health Service Management, University of Tasmania, Hobart, Tasmania, Australia
| | - Merrilee Needham
- Department of Neurology, Fiona Stanley Hospital, CMMIT Murdoch University and School of Medicine, University of Notre Dame, Western Australia, Perth, Australia
| | - David Schultz
- Department of Neurology, Flinders Medical Centre, Flinders Drive, Bedford Park, South Australia, Australia
| | - Tina Soulis
- Neuroscience Trials Australia, Melbourne, Australia
| | | | - Jane Milne
- MND and Me Foundation, Brisbane, Queensland, Australia
| | - Dominic Rowe
- MCentre for Motor Neurone Disease Research, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, Australia
| | - Margie Zoing
- Brain and Mind Center, University of Sydney, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Matthew C Kiernan
- Brain and Mind Center, University of Sydney, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia
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Abstract
PURPOSE OF REVIEW Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease targeting upper and lower motor neurons, inexorably leading to an early death. Defects in energy metabolism have been associated with ALS, including weight loss, increased energy expenditure, decreased body fat mass and increased use of lipid nutrients at the expense of carbohydrates. We review here recent findings on impaired energy metabolism in ALS, and its clinical importance. RECENT FINDINGS Hypothalamic atrophy, as well as alterations in hypothalamic peptides controlling energy metabolism, have been associated with metabolic derangements. Recent studies showed that mutations causing familial ALS impact various metabolic pathways, in particular mitochondrial function, and lipid and carbohydrate metabolism, which could underlie these metabolic defects in patients. Importantly, slowing weight loss, through high caloric diets, is a promising therapeutic strategy, and early clinical trials indicated that it might improve survival in at least a subset of patients. More research is needed to improve these therapeutic strategies, define pharmacological options, and refine the population of ALS patients that would benefit from these approaches. SUMMARY Dysfunctional energy homeostasis is a major feature of ALS clinical picture and emerges as a potential therapeutic target.
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33
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Holdom CJ, Janse van Mantgem MR, van Eijk RPA, Howe SL, van den Berg LH, McCombe PA, Henderson RD, Ngo ST, Steyn FJ. Venous creatinine as a biomarker for loss of fat-free mass and disease progression in patients with amyotrophic lateral sclerosis. Eur J Neurol 2021; 28:3615-3625. [PMID: 34216521 DOI: 10.1111/ene.15003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/16/2021] [Accepted: 06/30/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE To establish the utility of venous creatinine as a biomarker to monitor loss of fat-free mass in patients with amyotrophic lateral sclerosis (ALS). METHODS In this multicenter natural history study, body composition and venous creatinine were assessed in 107 patients with ALS and 52 healthy controls. Longitudinal patterns of venous creatinine and its association with the risk of death during follow-up were determined in a cohort of patients with ALS from Australia (n = 69) and the Netherlands (n = 38). RESULTS The mean levels of venous creatinine were 75.78 ± 11.15 μmol/L for controls, 70.25 ± 12.81 μmol/L for Australian patients, and 59.95 ± 14.62 μmol/L for Dutch patients with ALS. The relationship between measures of venous creatinine and fat-free mass was similar between all groups (r = 0.36, p < 0.001). Within patients, fat-free mass declined by 0.31 (95% confidence interval [CI]: 0.22-0.40) kg/month, and venous creatinine declined by 0.52 (95% CI: 0.38-0.66) μmol/L/month, with a longitudinal correlation of 0.57 (95% CI: 0.35-0.76, p < 0.001). Lower levels of venous creatinine were associated with increased risk for earlier death in patients with ALS (hazard ratio = 0.94, 95% CI: 0.90-0.98, p = 0.007). CONCLUSIONS Venous creatinine is decreased in ALS and declines alongside a decline in fat-free mass over the course of the disease, and may serve as a practical marker to monitor the change of fat-free mass in patients with ALS. This could inform clinical care and provide an alternative endpoint for the evaluation of therapeutic interventions that focus on slowing the loss of fat-free mass and disease progression in ALS.
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Affiliation(s)
- Cory J Holdom
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Mark R Janse van Mantgem
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Stephanie L Howe
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Pamela A McCombe
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Robert D Henderson
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Frederik J Steyn
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.,School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
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34
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Hu J, Lepore R, Dobson RJB, Al-Chalabi A, M. Bean D, Iacoangeli A. DGLinker: flexible knowledge-graph prediction of disease-gene associations. Nucleic Acids Res 2021; 49:W153-W161. [PMID: 34125897 PMCID: PMC8262728 DOI: 10.1093/nar/gkab449] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/30/2021] [Accepted: 05/17/2021] [Indexed: 11/14/2022] Open
Abstract
As a result of the advent of high-throughput technologies, there has been rapid progress in our understanding of the genetics underlying biological processes. However, despite such advances, the genetic landscape of human diseases has only marginally been disclosed. Exploiting the present availability of large amounts of biological and phenotypic data, we can use our current understanding of disease genetics to train machine learning models to predict novel genetic factors associated with the disease. To this end, we developed DGLinker, a webserver for the prediction of novel candidate genes for human diseases given a set of known disease genes. DGLinker has a user-friendly interface that allows non-expert users to exploit biomedical information from a wide range of biological and phenotypic databases, and/or to upload their own data, to generate a knowledge-graph and use machine learning to predict new disease-associated genes. The webserver includes tools to explore and interpret the results and generates publication-ready figures. DGLinker is available at https://dglinker.rosalind.kcl.ac.uk. The webserver is free and open to all users without the need for registration.
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Affiliation(s)
- Jiajing Hu
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
| | - Rosalba Lepore
- BSC-CNS Barcelona Supercomputing Center, Barcelona, 08034, Spain
| | - Richard J B Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Health Data Research UK London, University College London, London, WC1E 6BT, UK
- Institute of Health Informatics, University College London, London, NW1 2DA, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
- King′s College Hospital, Bessemer Road, Denmark Hill, London, SE5 9RS, UK
| | - Daniel M. Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Health Data Research UK London, University College London, London, WC1E 6BT, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London, London, SE5 8AF, UK
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35
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Park S, Kim D, Song J, Joo JWJ. An Integrative Transcriptome-Wide Analysis of Amyotrophic Lateral Sclerosis for the Identification of Potential Genetic Markers and Drug Candidates. Int J Mol Sci 2021; 22:ijms22063216. [PMID: 33809961 PMCID: PMC8004271 DOI: 10.3390/ijms22063216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/18/2021] [Accepted: 03/19/2021] [Indexed: 12/28/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative neuromuscular disease. Although genome-wide association studies (GWAS) have successfully identified many variants significantly associated with ALS, it is still difficult to characterize the underlying biological mechanisms inducing ALS. In this study, we performed a transcriptome-wide association study (TWAS) to identify disease-specific genes in ALS. Using the largest ALS GWAS summary statistic (n = 80,610), we identified seven novel genes using 19 tissue reference panels. We conducted a conditional analysis to verify the genes’ independence and to confirm that they are driven by genetically regulated expressions. Furthermore, we performed a TWAS-based enrichment analysis to highlight the association of important biological pathways, one in each of the four tissue reference panels. Finally, utilizing a connectivity map, a database of human cell expression profiles cultured with bioactive small molecules, we discovered functional associations between genes and drugs to identify 15 bioactive small molecules as potential drug candidates for ALS. We believe that, by integrating the largest ALS GWAS summary statistic with gene expression to identify new risk loci and causal genes, our study provides strong candidates for molecular basis experiments in ALS.
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Affiliation(s)
- Sungmin Park
- Department of Computer Engineering, Dongguk University, Seoul 04620, Korea;
| | - Daeun Kim
- Department of Life Science, Dongguk University, Seoul 04620, Korea; (D.K.); (J.S.)
| | - Jaeseung Song
- Department of Life Science, Dongguk University, Seoul 04620, Korea; (D.K.); (J.S.)
| | - Jong Wha J. Joo
- Department of Computer Engineering, Dongguk University, Seoul 04620, Korea;
- Correspondence:
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36
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Scaricamazza S, Salvatori I, Ferri A, Valle C. Skeletal Muscle in ALS: An Unappreciated Therapeutic Opportunity? Cells 2021; 10:cells10030525. [PMID: 33801336 PMCID: PMC8000428 DOI: 10.3390/cells10030525] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by the selective degeneration of upper and lower motor neurons and by the progressive weakness and paralysis of voluntary muscles. Despite intense research efforts and numerous clinical trials, it is still an incurable disease. ALS had long been considered a pure motor neuron disease; however, recent studies have shown that motor neuron protection is not sufficient to prevent the course of the disease since the dismantlement of neuromuscular junctions occurs before motor neuron degeneration. Skeletal muscle alterations have been described in the early stages of the disease, and they seem to be mainly involved in the “dying back” phenomenon of motor neurons and metabolic dysfunctions. In recent years, skeletal muscles have been considered crucial not only for the etiology of ALS but also for its treatment. Here, we review clinical and preclinical studies that targeted skeletal muscles and discuss the different approaches, including pharmacological interventions, supplements or diets, genetic modifications, and training programs.
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Affiliation(s)
- Silvia Scaricamazza
- Fondazione Santa Lucia IRCCS, c/o CERC, 00143 Rome, Italy
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Illari Salvatori
- Fondazione Santa Lucia IRCCS, c/o CERC, 00143 Rome, Italy
- Department of Experimental Medicine, University of Rome "La Sapienza", 00161 Rome, Italy
| | - Alberto Ferri
- Fondazione Santa Lucia IRCCS, c/o CERC, 00143 Rome, Italy
- Institute of Translational Pharmacology, National Research Council, 00133 Rome, Italy
| | - Cristiana Valle
- Fondazione Santa Lucia IRCCS, c/o CERC, 00143 Rome, Italy
- Institute of Translational Pharmacology, National Research Council, 00133 Rome, Italy
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37
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Ngo ST, Wang H, Henderson RD, Bowers C, Steyn FJ. Ghrelin as a treatment for amyotrophic lateral sclerosis. J Neuroendocrinol 2021; 33:e12938. [PMID: 33512025 DOI: 10.1111/jne.12938] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 12/27/2022]
Abstract
Ghrelin is a gut hormone best known for its role in regulating appetite and stimulating the secretion of the anabolic hormone growth hormone (GH). However, there is considerable evidence to show wider-ranging biological actions of ghrelin that favour improvements in cellular and systemic metabolism, as well as neuroprotection. Activation of these ghrelin-mediated pathways may alleviate pathogenic processes that are assumed to contribute to accelerated progression of disease in patients with neurodegenerative disease. Here, we provide a brief overview on the history of discoveries that led to the identification of ghrelin. Focussing on the neurodegenerative disease amyotrophic lateral sclerosis (ALS), we also present an overview of emerging evidence that suggests that ghrelin and ghrelin mimetics may serve as potential therapies for the treatment of ALS. Given that ALS is a highly heterogeneous disease, where multiple disease mechanisms contribute to variability in disease onset and rate of disease progression, we speculate that the wide-ranging biological actions of ghrelin might offer therapeutic benefit through modulating multiple disease-relevant processes observed in ALS. Expanding on the well-known actions of ghrelin in regulating food intake and GH secretion, we consider the potential of ghrelin-mediated pathways in improving body weight regulation, metabolism and the anabolic and neuroprotective actions of GH and insulin-like growth factor-1 (IGF-1). This is of clinical significance because loss of body weight, impairments in systemic and cellular metabolism, and reductions in IGF-1 are associated with faster disease progression and worse disease outcome in patients with ALS.
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Affiliation(s)
- Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Hao Wang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Robert D Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Cyril Bowers
- Department of Internal Medicine, Tulane University Health Sciences Centre, New Orleans, LA, USA
| | - Frederik J Steyn
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
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38
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Watson KS, Boukhloufi I, Bowerman M, Parson SH. The Relationship between Body Composition, Fatty Acid Metabolism and Diet in Spinal Muscular Atrophy. Brain Sci 2021; 11:brainsci11020131. [PMID: 33498293 PMCID: PMC7909254 DOI: 10.3390/brainsci11020131] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/15/2021] [Accepted: 01/17/2021] [Indexed: 12/11/2022] Open
Abstract
Spinal muscular atrophy (SMA) is an autosomal recessive condition that results in pathological deficiency of the survival motor neuron (SMN) protein. SMA most frequently presents itself within the first few months of life and is characterized by progressive muscle weakness. As a neuromuscular condition, it prominently affects spinal cord motor neurons and the skeletal muscle they innervate. However, over the past few decades, the SMA phenotype has expanded to include pathologies outside of the neuromuscular system. The current therapeutic SMA landscape is at a turning point, whereby a holistic multi-systemic approach to the understanding of disease pathophysiology is at the forefront of fundamental research and translational endeavours. In particular, there has recently been a renewed interest in body composition and metabolism in SMA patients, specifically that of fatty acids. Indeed, there is increasing evidence of aberrant fat distribution and fatty acid metabolism dysfunction in SMA patients and animal models. This review will explore fatty acid metabolic defects in SMA and discuss how dietary interventions could potentially be used to modulate and reduce the adverse health impacts of these perturbations in SMA patients.
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Affiliation(s)
- Katherine S. Watson
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK;
| | - Imane Boukhloufi
- School of Medicine, Keele University, Staffordshire ST5 5BG, UK;
| | - Melissa Bowerman
- School of Medicine, Keele University, Staffordshire ST5 5BG, UK;
- Wolfson Centre for Inherited Neuromuscular Disease, RJAH Orthopaedic Hospital, Oswestry SY10 7AG, UK
- Correspondence: (M.B.); (S.H.P.)
| | - Simon H. Parson
- Institute of Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK;
- Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh EH16 4SB, UK
- Correspondence: (M.B.); (S.H.P.)
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39
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Iacoangeli A, Fogh I, Selvackadunco S, Topp SD, Shatunov A, van Rheenen W, Al-Khleifat A, Opie-Martin S, Ratti A, Calvo A, Van Damme P, Robberecht W, Chio A, Dobson RJ, Hardiman O, Shaw CE, van den Berg LH, Andersen PM, Smith BN, Silani V, Veldink JH, Breen G, Troakes C, Al-Chalabi A, Jones AR. SCFD1 expression quantitative trait loci in amyotrophic lateral sclerosis are differentially expressed. Brain Commun 2021; 3:fcab236. [PMID: 34708205 PMCID: PMC8545614 DOI: 10.1093/braincomms/fcab236] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 08/05/2021] [Accepted: 08/12/2021] [Indexed: 11/14/2022] Open
Abstract
Evidence indicates that common variants found in genome-wide association studies increase risk of disease through gene regulation via expression Quantitative Trait Loci. Using multiple genome-wide methods, we examined if Single Nucleotide Polymorphisms increase risk of Amyotrophic Lateral Sclerosis through expression Quantitative Trait Loci, and whether expression Quantitative Trait Loci expression is consistent across people who had Amyotrophic Lateral Sclerosis and those who did not. In combining public expression Quantitative Trait Loci data with Amyotrophic Lateral Sclerosis genome-wide association studies, we used Summary-data-based Mendelian Randomization to confirm that SCFD1 was the only gene that was genome-wide significant in mediating Amyotrophic Lateral Sclerosis risk via expression Quantitative Trait Loci (Summary-data-based Mendelian Randomization beta = 0.20, standard error = 0.04, P-value = 4.29 × 10-6). Using post-mortem motor cortex, we tested whether expression Quantitative Trait Loci showed significant differences in expression between Amyotrophic Lateral Sclerosis (n = 76) and controls (n = 25), genome-wide. Of 20 757 genes analysed, the two most significant expression Quantitative Trait Loci to show differential in expression between Amyotrophic Lateral Sclerosis and controls involve two known Amyotrophic Lateral Sclerosis genes (SCFD1 and VCP). Cis-acting SCFD1 expression Quantitative Trait Loci downstream of the gene showed significant differences in expression between Amyotrophic Lateral Sclerosis and controls (top expression Quantitative Trait Loci beta = 0.34, standard error = 0.063, P-value = 4.54 × 10-7). These SCFD1 expression Quantitative Trait Loci also significantly modified Amyotrophic Lateral Sclerosis survival (number of samples = 4265, hazard ratio = 1.11, 95% confidence interval = 1.05-1.17, P-value = 2.06 × 10-4) and act as an Amyotrophic Lateral Sclerosis trans-expression Quantitative Trait Loci hotspot for a wider network of genes enriched for SCFD1 function and Amyotrophic Lateral Sclerosis pathways. Using gene-set analyses, we found the genes that correlate with this trans-expression Quantitative Trait Loci hotspot significantly increase risk of Amyotrophic Lateral Sclerosis (beta = 0.247, standard deviation = 0.017, P = 0.001) and schizophrenia (beta = 0.263, standard deviation = 0.008, P-value = 1.18 × 10-5), a disease that genetically correlates with Amyotrophic Lateral Sclerosis. In summary, SCFD1 expression Quantitative Trait Loci are a major factor in Amyotrophic Lateral Sclerosis, not only influencing disease risk but are differentially expressed in post-mortem Amyotrophic Lateral Sclerosis. SCFD1 expression Quantitative Trait Loci show distinct expression profiles in Amyotrophic Lateral Sclerosis that correlate with a wider network of genes that also confer risk of the disease and modify the disease's duration.
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Affiliation(s)
- Alfredo Iacoangeli
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK.,Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Isabella Fogh
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Sashika Selvackadunco
- MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Simon D Topp
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Aleksey Shatunov
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Wouter van Rheenen
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Ahmad Al-Khleifat
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Sarah Opie-Martin
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Antonia Ratti
- Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Andrea Calvo
- Department of Neuroscience 'Rita Levi Montalcini', ALS Centre, University of Turin, Torino, Italy.,Neuroscience Institute of Torino (NIT), University of Torino, Torino, Piemonte, Italy
| | | | - Philip Van Damme
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium.,Department of Neurosciences, Laboratory of Neurobiology, VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Wim Robberecht
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Adriano Chio
- Department of Neuroscience 'Rita Levi Montalcini', ALS Centre, University of Turin, Torino, Italy.,Neuroscience Institute of Torino (NIT), University of Torino, Torino, Piemonte, Italy
| | - Richard J Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, University of Dublin Trinity College, Dublin, Ireland.,Department of Neurology, Beaumont Hospital, Dublin 9, Ireland
| | - Christopher E Shaw
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Leonard H van den Berg
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Peter M Andersen
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Bradley N Smith
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
| | - Vincenzo Silani
- Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy.,Aldo Ravelli Center for Neurotechnology and Experimental Brain Therapeutics, Università degli Studi di Milano, Milan, Italy
| | - Jan H Veldink
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Claire Troakes
- MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK.,Department of Neurology, King's College Hospital, London, UK
| | - Ashley R Jones
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience King's College London, 5 Cutcombe Road, London SE5 9RT, UK
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40
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Pathogenic Genome Signatures That Damage Motor Neurons in Amyotrophic Lateral Sclerosis. Cells 2020; 9:cells9122687. [PMID: 33333804 PMCID: PMC7765192 DOI: 10.3390/cells9122687] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/04/2020] [Accepted: 12/09/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most frequent motor neuron disease and a neurodegenerative disorder, affecting the upper and/or lower motor neurons. Notably, it invariably leads to death within a few years of onset. Although most ALS cases are sporadic, familial amyotrophic lateral sclerosis (fALS) forms 10% of the cases. In 1993, the first causative gene (SOD1) of fALS was identified. With rapid advances in genetics, over fifty potentially causative or disease-modifying genes have been found in ALS so far. Accordingly, routine diagnostic tests should encompass the oldest and most frequently mutated ALS genes as well as several new important genetic variants in ALS. Herein, we discuss current literatures on the four newly identified ALS-associated genes (CYLD, S1R, GLT8D1, and KIF5A) and the previously well-known ALS genes including SOD1, TARDBP, FUS, and C9orf72. Moreover, we review the pathogenic implications and disease mechanisms of these genes. Elucidation of the cellular and molecular functions of the mutated genes will bring substantial insights for the development of therapeutic approaches to treat ALS.
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41
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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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