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Hamatani T, Atsuta N, Sano F, Nakamura R, Hayashi Y, Sobue G. ALSFRS-R decline rate prior to baseline is not useful for stratifying subsequent progression of functional decline. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:388-399. [PMID: 38323575 DOI: 10.1080/21678421.2024.2309989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/21/2024] [Indexed: 02/08/2024]
Abstract
OBJECTIVE One of the difficulties in developing a novel drug for patients with amyotrophic lateral sclerosis (ALS) is the significant variation in the clinical course. To control this variation, a 12-week run-in period is used in some clinical trials. Based on the Amyotrophic Lateral Sclerosis Functional Rating Scale Revised (ALSFRS-R) change during the run-in period, only moderate progressors are selected in some clinical trials. Some reports showed that the ALSFRS-R progression rate was associated with survival. However, it is unclear whether the ALSFRS-R change in the run-in period is a useful prognostic factor of the ALSFRS-R change from baseline. In addition, we explore the inclusion criteria that could control the variability in ALS-function progression without setting a run-in period. METHODS We utilized the Japanese and US ALS registry databases (JaCALS and PRO-ACT). Patients were classified into three populations (rapid, moderate, and slow progressors) based on the ALSFRS-R change prior to baseline. We also classified patients into three prognostic populations based on the ALSFRS-R change from baseline. We confirmed whether each of the three populations were matched with their respective three prognostic populations. RESULTS Our data showed that the three groups classified by the ALSFRS-R change during the 12 weeks prior to baseline or by the rate of progression from onset to baseline did not accord with the three prognostic groups. CONCLUSIONS Our results showed that the ALSFRS-R change in the run-in period or from onset to baseline is not useful for stratifying subsequent progression of functional decline in clinical trials.
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Affiliation(s)
- Tatsuto Hamatani
- Drug Development Division, Sumitomo Pharma Co., Ltd, Tokyo, Japan
- Clinical Research, Sumitomo Pharma America, Inc, USA
| | - Naoki Atsuta
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Fumiya Sano
- Drug Development Division, Sumitomo Pharma Co., Ltd, Tokyo, Japan
| | - Ryoichi Nakamura
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Yukikazu Hayashi
- Department of Business Development, A2 Healthcare Corporation, Tokyo, Japan, and
| | - Gen Sobue
- Aichi Medical University School of Medicine, Nagakute, Japan
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2
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Nakamura R, Tohnai G, Nakatochi M, Atsuta N, Watanabe H, Ito D, Katsuno M, Hirakawa A, Izumi Y, Morita M, Hirayama T, Kano O, Kanai K, Hattori N, Taniguchi A, Suzuki N, Aoki M, Iwata I, Yabe I, Shibuya K, Kuwabara S, Oda M, Hashimoto R, Aiba I, Ishihara T, Onodera O, Yamashita T, Abe K, Mizoguchi K, Shimizu T, Ikeda Y, Yokota T, Hasegawa K, Tanaka F, Nakashima K, Kaji R, Niwa JI, Doyu M, Terao C, Ikegawa S, Fujimori K, Nakamura S, Ozawa F, Morimoto S, Onodera K, Ito T, Okada Y, Okano H, Sobue G. Genetic factors affecting survival in Japanese patients with sporadic amyotrophic lateral sclerosis: a genome-wide association study and verification in iPSC-derived motor neurons from patients. J Neurol Neurosurg Psychiatry 2023; 94:816-824. [PMID: 37142397 DOI: 10.1136/jnnp-2022-330851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 04/18/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Several genetic factors are associated with the pathogenesis of sporadic amyotrophic lateral sclerosis (ALS) and its phenotypes, such as disease progression. Here, in this study, we aimed to identify the genes that affect the survival of patients with sporadic ALS. METHODS We enrolled 1076 Japanese patients with sporadic ALS with imputed genotype data of 7 908 526 variants. We used Cox proportional hazards regression analysis with an additive model adjusted for sex, age at onset and the first two principal components calculated from genotyped data to conduct a genome-wide association study. We further analysed messenger RNA (mRNA) and phenotype expression in motor neurons derived from induced pluripotent stem cells (iPSC-MNs) of patients with ALS. RESULTS Three novel loci were significantly associated with the survival of patients with sporadic ALS-FGF1 at 5q31.3 (rs11738209, HR=2.36 (95% CI, 1.77 to 3.15), p=4.85×10-9), THSD7A at 7p21.3 (rs2354952, 1.38 (95% CI, 1.24 to 1.55), p=1.61×10-8) and LRP1 at 12q13.3 (rs60565245, 2.18 (95% CI, 1.66 to 2.86), p=2.35×10-8). FGF1 and THSD7A variants were associated with decreased mRNA expression of each gene in iPSC-MNs and reduced in vitro survival of iPSC-MNs obtained from patients with ALS. The iPSC-MN in vitro survival was reduced when the expression of FGF1 and THSD7A was partially disrupted. The rs60565245 was not associated with LRP1 mRNA expression. CONCLUSIONS We identified three loci associated with the survival of patients with sporadic ALS, decreased mRNA expression of FGF1 and THSD7A and the viability of iPSC-MNs from patients. The iPSC-MN model reflects the association between patient prognosis and genotype and can contribute to target screening and validation for therapeutic intervention.
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Affiliation(s)
- Ryoichi Nakamura
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Genki Tohnai
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Division of ALS Research, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Naoki Atsuta
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Hirohisa Watanabe
- Department of Neurology, Fujita Health University, Toyoake, Aichi, Japan
- Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan
| | - Daisuke Ito
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Clinical Research Education, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Akihiro Hirakawa
- Department of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Yuishin Izumi
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Mitsuya Morita
- Division of Neurology, Department of Internal Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan
| | - Takehisa Hirayama
- Department of Neurology, Toho University Faculty of Medicine, Ota-ku, Tokyo, Japan
| | - Osamu Kano
- Department of Neurology, Toho University Faculty of Medicine, Ota-ku, Tokyo, Japan
| | - Kazuaki Kanai
- Department of Neurology, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of Neurology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Akira Taniguchi
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Mie, Japan
| | - Naoki Suzuki
- Department of Neurology, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Ikuko Iwata
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Ichiro Yabe
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Kazumoto Shibuya
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Masaya Oda
- Department of Neurology, Vihara Hananosato Hospital, Miyoshi, Hiroshima, Japan
| | - Rina Hashimoto
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Aichi, Japan
| | - Ikuko Aiba
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Aichi, Japan
| | - Tomohiko Ishihara
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Toru Yamashita
- Department of Neurology, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Koji Abe
- Department of Neurology, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Kouichi Mizoguchi
- Department of Neurology, National Hospital Organization Shizuoka Medical Center, Shizuoka, Japan
| | - Toshio Shimizu
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Fuchu, Tokyo, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Takanori Yokota
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Kazuko Hasegawa
- Division of Neurology, National Hospital Organization, Sagamihara National Hospital, Sagamihara, Kanagawa, Japan
| | - Fumiaki Tanaka
- Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - Kenji Nakashima
- Department of Neurology, National Hospital Organization, Matsue Medical Center, Matsue, Shimane, Japan
| | - Ryuji Kaji
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Jun-Ichi Niwa
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Manabu Doyu
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Koki Fujimori
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Shiho Nakamura
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Fumiko Ozawa
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Satoru Morimoto
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Kazunari Onodera
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Takuji Ito
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Yohei Okada
- Department of Neurology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Gen Sobue
- Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan
- Aichi Medical University, Nagakute, Aichi, Japan
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3
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Tavazzi E, Longato E, Vettoretti M, Aidos H, Trescato I, Roversi C, Martins AS, Castanho EN, Branco R, Soares DF, Guazzo A, Birolo G, Pala D, Bosoni P, Chiò A, Manera U, de Carvalho M, Miranda B, Gromicho M, Alves I, Bellazzi R, Dagliati A, Fariselli P, Madeira SC, Di Camillo B. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif Intell Med 2023; 142:102588. [PMID: 37316101 DOI: 10.1016/j.artmed.2023.102588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/14/2023] [Accepted: 05/16/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disorder characterised by the progressive loss of motor neurons in the brain and spinal cord. The fact that ALS's disease course is highly heterogeneous, and its determinants not fully known, combined with ALS's relatively low prevalence, renders the successful application of artificial intelligence (AI) techniques particularly arduous. OBJECTIVE This systematic review aims at identifying areas of agreement and unanswered questions regarding two notable applications of AI in ALS, namely the automatic, data-driven stratification of patients according to their phenotype, and the prediction of ALS progression. Differently from previous works, this review is focused on the methodological landscape of AI in ALS. METHODS We conducted a systematic search of the Scopus and PubMed databases, looking for studies on data-driven stratification methods based on unsupervised techniques resulting in (A) automatic group discovery or (B) a transformation of the feature space allowing patient subgroups to be identified; and for studies on internally or externally validated methods for the prediction of ALS progression. We described the selected studies according to the following characteristics, when applicable: variables used, methodology, splitting criteria and number of groups, prediction outcomes, validation schemes, and metrics. RESULTS Of the starting 1604 unique reports (2837 combined hits between Scopus and PubMed), 239 were selected for thorough screening, leading to the inclusion of 15 studies on patient stratification, 28 on prediction of ALS progression, and 6 on both stratification and prediction. In terms of variables used, most stratification and prediction studies included demographics and features derived from the ALSFRS or ALSFRS-R scores, which were also the main prediction targets. The most represented stratification methods were K-means, and hierarchical and expectation-maximisation clustering; while random forests, logistic regression, the Cox proportional hazard model, and various flavours of deep learning were the most widely used prediction methods. Predictive model validation was, albeit unexpectedly, quite rarely performed in absolute terms (leading to the exclusion of 78 eligible studies), with the overwhelming majority of included studies resorting to internal validation only. CONCLUSION This systematic review highlighted a general agreement in terms of input variable selection for both stratification and prediction of ALS progression, and in terms of prediction targets. A striking lack of validated models emerged, as well as a general difficulty in reproducing many published studies, mainly due to the absence of the corresponding parameter lists. While deep learning seems promising for prediction applications, its superiority with respect to traditional methods has not been established; there is, instead, ample room for its application in the subfield of patient stratification. Finally, an open question remains on the role of new environmental and behavioural variables collected via novel, real-time sensors.
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Affiliation(s)
- Erica Tavazzi
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Enrico Longato
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Martina Vettoretti
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Helena Aidos
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Isotta Trescato
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Chiara Roversi
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Andreia S Martins
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Eduardo N Castanho
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Ruben Branco
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Diogo F Soares
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Alessandro Guazzo
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy
| | - Giovanni Birolo
- Department of Medical Sciences, University of Torino, Corso Dogliotti 14, Turin, 10126, Italy
| | - Daniele Pala
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, Pavia, 27100, Italy
| | - Pietro Bosoni
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, Pavia, 27100, Italy
| | - Adriano Chiò
- Department of Neurosciences "Rita Levi Montalcini", University of Turin, Via Cherasco 15, Turin, 10126, Italy
| | - Umberto Manera
- Department of Neurosciences "Rita Levi Montalcini", University of Turin, Via Cherasco 15, Turin, 10126, Italy
| | - Mamede de Carvalho
- Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Av. Prof. Egas Moniz, Lisbon, 1649-028, Portugal
| | - Bruno Miranda
- Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Av. Prof. Egas Moniz, Lisbon, 1649-028, Portugal
| | - Marta Gromicho
- Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Av. Prof. Egas Moniz, Lisbon, 1649-028, Portugal
| | - Inês Alves
- Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Av. Prof. Egas Moniz, Lisbon, 1649-028, Portugal
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, Pavia, 27100, Italy
| | - Arianna Dagliati
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, Pavia, 27100, Italy
| | - Piero Fariselli
- Department of Medical Sciences, University of Torino, Corso Dogliotti 14, Turin, 10126, Italy
| | - Sara C Madeira
- LASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
| | - Barbara Di Camillo
- Department of Information Engineering, University of Padova, Via Gradenigo 6/b, Padua, 35131, Italy; Department of Comparative Biomedicine and Food Science, University of Padova, Agripolis, Viale dell'Università, 16, Legnaro (PD), 35020, Italy.
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4
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Workman MJ, Lim RG, Wu J, Frank A, Ornelas L, Panther L, Galvez E, Perez D, Meepe I, Lei S, Valencia V, Gomez E, Liu C, Moran R, Pinedo L, Tsitkov S, Ho R, Kaye JA, Thompson T, Rothstein JD, Finkbeiner S, Fraenkel E, Sareen D, Thompson LM, Svendsen CN. Large-scale differentiation of iPSC-derived motor neurons from ALS and control subjects. Neuron 2023; 111:1191-1204.e5. [PMID: 36764301 PMCID: PMC10557526 DOI: 10.1016/j.neuron.2023.01.010] [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: 08/03/2022] [Revised: 11/29/2022] [Accepted: 01/17/2023] [Indexed: 02/11/2023]
Abstract
Using induced pluripotent stem cells (iPSCs) to understand the mechanisms of neurological disease holds great promise; however, there is a lack of well-curated lines from a large array of participants. Answer ALS has generated over 1,000 iPSC lines from control and amyotrophic lateral sclerosis (ALS) patients along with clinical and whole-genome sequencing data. The current report summarizes cell marker and gene expression in motor neuron cultures derived from 92 healthy control and 341 ALS participants using a 32-day differentiation protocol. This is the largest set of iPSCs to be differentiated into motor neurons, and characterization suggests that cell composition and sex are significant sources of variability that need to be carefully controlled for in future studies. These data are reported as a resource for the scientific community that will utilize Answer ALS data for disease modeling using a wider array of omics being made available for these samples.
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Affiliation(s)
- Michael J Workman
- The Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ryan G Lim
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Jie Wu
- Department of Biological Chemistry, University of California, Irvine, CA, USA
| | - Aaron Frank
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Loren Ornelas
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Lindsay Panther
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Erick Galvez
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel Perez
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Imara Meepe
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Susan Lei
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Viviana Valencia
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Emilda Gomez
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Chunyan Liu
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ruby Moran
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Louis Pinedo
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Stanislav Tsitkov
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ritchie Ho
- The Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Julia A Kaye
- Center for Systems and Therapeutics, Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA; Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA; Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Jeffrey D Rothstein
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven Finkbeiner
- Center for Systems and Therapeutics, Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA; Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA; Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, USA
| | - Ernest Fraenkel
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Dhruv Sareen
- The Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Leslie M Thompson
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA; Department of Biological Chemistry, University of California, Irvine, CA, USA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA; Department of Psychiatry and Human Behavior and Sue and Bill Gross Stem Cell Center, University of California, Irvine, CA, USA.
| | - Clive N Svendsen
- The Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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5
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Kobayakawa Y, Todaka K, Hashimoto Y, Ko S, Shiraishi W, Kishimoto J, Kira JI, Yamasaki R, Isobe N. A novel quantitative indicator for disease progression rate in amyotrophic lateral sclerosis. J Neurol Sci 2022; 442:120389. [PMID: 36041329 DOI: 10.1016/j.jns.2022.120389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 10/31/2022]
Abstract
OBJECTIVE The current study sought to develop a new indicator for disease progression rate in amyotrophic lateral sclerosis (ALS). METHODS We used a nonparametric method to score diverse patterns of decline in the percentage of predicted forced vital capacity (%FVC) in patients with ALS. This involved 6317 longitudinal %FVC data sets from 920 patients in the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database volunteered by PRO-ACT Consortium members. To assess the utility of the derived scores as a disease indicator, we examined changes over time, the association with prognosis, and correlation with the Risk Profile of the Treatment Research Initiative to Cure ALS (TRICALS). Our local cohort (n = 92) was used for external validation. RESULTS We derived scores ranging from 35 to 106 points to construct the FVC Decline Pattern scale (FVC-DiP). Individuals' FVC-DiP scores were determined from a single measurement of %FVC and disease duration at assessment. Although the %FVC declined over the disease course (p < 0.0001), the FVC-DiP remained relatively stable. Low FVC-DiP scores were associated with rapid disease progression. Using our cohort, we demonstrated an association between FVC-DiP and the survival prognosis, the stability of the FVC-DiP per individual, and a correlation between FVC-DiP scores and the TRICALS Risk Profile (r2 = 0.904, p < 0.0001). CONCLUSIONS FVC-DiP scores reflected patterns of declining %FVC over the natural course of ALS and indicated the disease progression rate. The FVC-DiP may enable easy assessment of disease progression patterns and could be used for assessing treatment efficacy.
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Affiliation(s)
- Yuko Kobayakawa
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Koji Todaka
- Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Yu Hashimoto
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Senri Ko
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Wataru Shiraishi
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Junji Kishimoto
- Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Translational Neuroscience Center, Graduate School of Medicine, School of Pharmacy at Fukuoka, International University of Health and Welfare, Okawa, Fukuoka 831-8501, Japan; Department of Neurology, Brain and Nerve Center, Fukuoka Central Hospital, International University of Health and Welfare, Fukuoka 810-0022, Japan
| | - Ryo Yamasaki
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
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6
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Imamura K, Izumi Y, Nagai M, Nishiyama K, Watanabe Y, Hanajima R, Egawa N, Ayaki T, Oki R, Fujita K, Uozumi R, Morinaga A, Hirohashi T, Fujii Y, Yamamoto T, Tatebe H, Tokuda T, Takahashi N, Morita S, Takahashi R, Inoue H. Safety and tolerability of bosutinib in patients with amyotrophic lateral sclerosis (iDReAM study): A multicentre, open-label, dose-escalation phase 1 trial. EClinicalMedicine 2022; 53:101707. [PMID: 36467452 PMCID: PMC9716331 DOI: 10.1016/j.eclinm.2022.101707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease caused by the loss of motor neurons, and development of effective medicines is urgently required. Induced pluripotent stem cell (iPSC)-based drug repurposing identified the Src/c-Abl inhibitor bosutinib, which is approved for the treatment of chronic myelogenous leukemia (CML), as a candidate for the molecular targeted therapy of ALS. METHODS An open-label, multicentre, dose-escalation phase 1 study using a 3 + 3 design was conducted in 4 hospitals in Japan to evaluate the safety and tolerability of bosutinib in patients with ALS. Furthermore, the exploratory efficacy was evaluated using Revised ALS Functional Rating Scale (ALSFRS-R), predictive biomarkers including plasma neurofilament light chain (NFL) were explored, and single-cell RNA sequencing of iPSC-derived motor neurons was conducted. Patients, whose total ALSFRS-R scores decreased by 1-3 points during the 12-week, received escalating doses starting from 100 mg quaque die (QD) up to 400 mg QD based on dose-limiting toxicity (DLT) occurrence, and all participants who received one dose of the study drug were included in the primary analysis. This trial is registered with ClinicalTrials.gov, NCT04744532, as Induced pluripotent stem cell-based Drug Repurposing for Amyotrophic Lateral Sclerosis Medicine (iDReAM) study. FINDINGS Between March 29, 2019 and May 7, 2021, 20 patients were enrolled, 13 of whom received bosutinib treatment and 12 were included in the safety and efficacy analyses. No DLTs were observed up to 300 mg QD, but DLTs were observed in 3/3 patients of the 400 mg QD cohort. In all patients receiving 100 mg-400 mg, the prevalent adverse events (AEs) were gastrointestinal AEs in 12 patients (92.3%), liver function related AEs in 7 patients (53.8%), and rash in 3 patients (23.1%). The safety profile was consistent with that known for CML treatment, and ALS-specific AEs were not observed. A subset of patients (5/9 patients) was found to respond well to bosutinib treatment over the 12-week treatment period. It was found that the treatment-responsive patients could be distinguished by their lower levels of plasma NFL. Furthermore, single-cell RNA sequencing of iPSC-derived motor neurons revealed the pathogenesis related molecular signature in patients with ALS showing responsiveness to bosutinib. INTERPRETATION This is the first trial of a Src/c-Abl inhibitor, bosutinib, for patients with ALS. The safety and tolerability of bosutinib up to 300 mg, not 400 mg, in ALS were described, and responsiveness of patients on motor function was observed. Since this was an open-label trial within a short period with a limited number of patients, further clinical trials will be required. FUNDING AMED and iPS Cell Research Fund.
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Affiliation(s)
- Keiko Imamura
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Yuishin Izumi
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Makiko Nagai
- Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Kazutoshi Nishiyama
- Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Yasuhiro Watanabe
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Ritsuko Hanajima
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Naohiro Egawa
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takashi Ayaki
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryosuke Oki
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Koji Fujita
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Ryuji Uozumi
- Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
| | | | | | | | - Takuya Yamamoto
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Harutsugu Tatebe
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Takahiko Tokuda
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Naoto Takahashi
- Department of Hematology, Nephrology, and Rheumatology, Akita University Graduate School of Medicine, Akita, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Haruhisa Inoue
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Corresponding author. 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, Kyoto Pref., 606-8507, Japan.
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7
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Ruffini N, Klingenberg S, Heese R, Schweiger S, Gerber S. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach. Front Aging Neurosci 2022; 14:866886. [PMID: 35832065 PMCID: PMC9271745 DOI: 10.3389/fnagi.2022.866886] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
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Affiliation(s)
- Nicolas Ruffini
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Leibniz Institute for Resilience Research, Leibniz Association, Mainz, Germany
| | - Susanne Klingenberg
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Raoul Heese
- Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
| | - Susann Schweiger
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
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8
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Oki R, Izumi Y, Fujita K, Miyamoto R, Nodera H, Sato Y, Sakaguchi S, Nokihara H, Kanai K, Tsunemi T, Hattori N, Hatanaka Y, Sonoo M, Atsuta N, Sobue G, Shimizu T, Shibuya K, Ikeda K, Kano O, Nishinaka K, Kojima Y, Oda M, Komai K, Kikuchi H, Kohara N, Urushitani M, Nakayama Y, Ito H, Nagai M, Nishiyama K, Kuzume D, Shimohama S, Shimohata T, Abe K, Ishihara T, Onodera O, Isose S, Araki N, Morita M, Noda K, Toda T, Maruyama H, Furuya H, Teramukai S, Kagimura T, Noma K, Yanagawa H, Kuwabara S, Kaji R. Efficacy and Safety of Ultrahigh-Dose Methylcobalamin in Early-Stage Amyotrophic Lateral Sclerosis: A Randomized Clinical Trial. JAMA Neurol 2022; 79:575-583. [PMID: 35532908 PMCID: PMC9086935 DOI: 10.1001/jamaneurol.2022.0901] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Importance The effectiveness of currently approved drugs for amyotrophic lateral sclerosis (ALS) is restricted; there is a need to develop further treatments. Initial studies have shown ultrahigh-dose methylcobalamin to be a promising agent. Objective To validate the efficacy and safety of ultrahigh-dose methylcobalamin for patients with ALS enrolled within 1 year of onset. Design, Setting, and Participants This was a multicenter, placebo-controlled, double-blind, randomized phase 3 clinical trial with a 12-week observation and 16-week randomized period, conducted from October 17, 2017, to September 30, 2019. Patients were recruited from 25 neurology centers in Japan; those with ALS diagnosed within 1 year of onset by the updated Awaji criteria were initially enrolled. Of those, patients fulfilling the following criteria after 12-week observation were eligible for randomization: 1- or 2-point decrease in the Revised Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS-R) total score, a percent forced vital capacity greater than 60%, no history of noninvasive respiratory support and tracheostomy, and being ambulatory. The target participant number was 64 in both the methylcobalamin and placebo groups. Patients were randomly assigned through an electronic web-response system to methylcobalamin or placebo. Interventions Intramuscular injection of methylcobalamin (50-mg dose) or placebo twice weekly for 16 weeks. Main Outcomes and Measures The primary end point was change in ALSFRS-R total score from baseline to week 16 in the full analysis set. Results A total of 130 patients (mean [SD] age, 61.0 [11.7] years; 74 men [56.9%]) were randomly assigned to methylcobalamin or placebo (65 each). A total of 129 patients were eligible for the full analysis set, and 126 completed the double-blind stage. Of these, 124 patients proceeded to the open-label extended period. The least square means difference in ALSFRS-R total score at week 16 of the randomized period was 1.97 points greater with methylcobalamin than placebo (-2.66 vs -4.63; 95% CI, 0.44-3.50; P = .01). The incidence of adverse events was similar between the 2 groups. Conclusions and Relevance Results of this randomized clinical trial showed that ultrahigh-dose methylcobalamin was efficacious in slowing functional decline in patients with early-stage ALS and with moderate progression rate and was safe to use during the 16-week treatment period. Trial Registration ClinicalTrials.gov Identifier: NCT03548311.
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Affiliation(s)
- Ryosuke Oki
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yuishin Izumi
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Koji Fujita
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Ryosuke Miyamoto
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Hiroyuki Nodera
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yasutaka Sato
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Satoshi Sakaguchi
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Hiroshi Nokihara
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Kazuaki Kanai
- Department of Neurology, Fukushima Medical University School of Medicine, Fukushima, Japan.,Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Taiji Tsunemi
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Yuki Hatanaka
- Department of Neurology, Teikyo University School of Medicine, Tokyo, Japan
| | - Masahiro Sonoo
- Department of Neurology, Teikyo University School of Medicine, Tokyo, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Gen Sobue
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshio Shimizu
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan
| | - Kazumoto Shibuya
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Ken Ikeda
- Department of Neurology, Toho University Faculty of Medicine, Tokyo, Japan
| | - Osamu Kano
- Department of Neurology, Toho University Faculty of Medicine, Tokyo, Japan
| | | | - Yasuhiro Kojima
- Department of Neurology, Takeda General Hospital, Kyoto, Japan
| | - Masaya Oda
- Department of Neurology, Vihara Hananosato Hospital, Miyoshi, Japan
| | - Kiyonobu Komai
- Department of Neurology, National Hospital Organization Iou Hospital, Kanazawa, Japan
| | - Hitoshi Kikuchi
- Department of Neurology, Murakami Karindoh Hospital, Fukuoka, Japan
| | - Nobuo Kohara
- Department of Neurology, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Makoto Urushitani
- Department of Neurology, Shiga University of Medical Science, Otsu, Japan
| | - Yoshiaki Nakayama
- Department of Neurology, Wakayama Medical University, Wakayama, Japan
| | - Hidefumi Ito
- Department of Neurology, Wakayama Medical University, Wakayama, Japan
| | - Makiko Nagai
- Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Kazutoshi Nishiyama
- Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan
| | - Daisuke Kuzume
- Department of Neurology, Chikamori Hospital, Kochi, Japan
| | - Shun Shimohama
- Department of Neurology, Sapporo Medical University, Sapporo, Japan
| | - Takayoshi Shimohata
- Department of Neurology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Koji Abe
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Tomohiko Ishihara
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Sagiri Isose
- Department of Neurology, National Hospital Organization Chibahigashi Hospital, Chiba, Japan
| | - Nobuyuki Araki
- Department of Neurology, National Hospital Organization Chibahigashi Hospital, Chiba, Japan
| | - Mitsuya Morita
- Division of Neurology, Department of Internal Medicine, Jichi Medical University, Shimotsuke, Japan
| | - Kazuyuki Noda
- Department of Neurology, Juntendo University Shizuoka Hospital, Izunokuni, Japan
| | - Tatsushi Toda
- Department of Neurology, The University of Tokyo, Tokyo, Japan
| | - Hirofumi Maruyama
- Department of Clinical Neuroscience and Therapeutics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Hirokazu Furuya
- Department of Neurology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Satoshi Teramukai
- Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tatsuo Kagimura
- Translational Research Center for Medical Innovation, Foundation for Biomedical Research and Innovation, Kobe, Japan
| | - Kensuke Noma
- Division of Regeneration and Medicine, Medical Center for Translational and Clinical Research, Hiroshima University Hospital, Hiroshima, Japan.,Department of Cardiovascular Regeneration and Medicine, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Hiroaki Yanagawa
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Ryuji Kaji
- Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.,Department of Neurology, National Hospital Organization Utano Hospital, Kyoto, Japan
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9
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Okano H, Morimoto S. iPSC-based disease modeling and drug discovery in cardinal neurodegenerative disorders. Cell Stem Cell 2022; 29:189-208. [PMID: 35120619 DOI: 10.1016/j.stem.2022.01.007] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
It has been 15 years since the birth of human induced pluripotent stem cell (iPSC) technology in 2007, and the scope of its application has been expanding. In addition to the development of cell therapies using iPSC-derived cells, pathological analyses using disease-specific iPSCs and clinical trials to confirm the safety and efficacy of drugs developed using iPSCs are progressing. With the innovation of related technologies, iPSC applications are about to enter a new stage. This review outlines advances in iPSC modeling and therapeutic development for cardinal neurodegenerative diseases, such as amyotrophic lateral sclerosis, Parkinson's disease, and Alzheimer's disease.
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Affiliation(s)
- Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan.
| | - Satoru Morimoto
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
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10
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Ikenaka K, Maeda Y, Hotta Y, Nagano S, Yamada S, Ito D, Torii R, Kakuda K, Tatebe H, Atsuta N, Aguirre C, Kimura Y, Baba K, Tokuda T, Katsuno M, Kimura K, Sobue G, Mochizuki H. Serum asymmetric dimethyl arginine level correlates with the progression and prognosis of amyotrophic lateral sclerosis. Eur J Neurol 2022; 29:1410-1416. [PMID: 35128793 PMCID: PMC9305138 DOI: 10.1111/ene.15254] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 01/13/2022] [Indexed: 11/29/2022]
Abstract
Background and purpose: Methods Results Conclusion
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Affiliation(s)
- Kensuke Ikenaka
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Yasuhiro Maeda
- Center for Joint Research Facilities Support Fujita Health University Toyoake Japan
| | - Yuji Hotta
- Department of Hospital Pharmacy Nagoya City University Graduate School of Pharmaceutical Sciences Nagoya Japan
| | - Seiichi Nagano
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Shinichiro Yamada
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
| | - Daisuke Ito
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
| | - Ryota Torii
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
| | - Keita Kakuda
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Harutsugu Tatebe
- T Brothers Corporation T & Chiba Japan
- National Institutes for Quantum and Radiological Science and Technology (QST) Chiba Japan
| | - Naoki Atsuta
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
- Department of Neurology Aichi Medical University School of Medicine Nagakute Japan
| | - Cesar Aguirre
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Yasuyoshi Kimura
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Kousuke Baba
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
| | - Takahiko Tokuda
- T Brothers Corporation T & Chiba Japan
- National Institutes for Quantum and Radiological Science and Technology (QST) Chiba Japan
| | - Masahisa Katsuno
- Department of Neurology Nagoya University Graduate School of Medicine Nagoya Japan
- Department of Clinical Research Education Nagoya University Graduate School of Medicine Nagoya Japan
| | - Kazunori Kimura
- Department of Hospital Pharmacy Nagoya City University Graduate School of Pharmaceutical Sciences Nagoya Japan
| | - Gen Sobue
- Research Division of Dementia and Neurodegenerative Disease Nagoya University Graduate School of Medicine Nagoya Japan
- Aichi Medical University Nagakute Japan
| | - Hideki Mochizuki
- Department of Neurology Osaka University Graduate School of Medicine Suita Japan
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11
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Zou S, Ye J, Hu S, Wei Y, Xu J. Mutations in the TTN Gene are a Prognostic Factor for Patients with Lung Squamous Cell Carcinomas. Int J Gen Med 2022; 15:19-31. [PMID: 35018111 PMCID: PMC8742622 DOI: 10.2147/ijgm.s343259] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/20/2021] [Indexed: 01/04/2023] Open
Abstract
Purpose To analyze the relationship between titin (TTN) mutation gene and tumor mutational burden (TMB) and the with prognosis of lung squamous cell carcinomas (LUSC), and to explore the feasibility of TTN as a potential prognostic marker of for LUSC. Methods We analyzed the somatic mutation landscape of LUSC samples using datasets obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Sequence data were divided into wild and mutant groups, and differences in TMB values between the groups compared using a Mann–Whitney U-test. The Kaplan Meier method was used to analyze the correlation between TTN mutation and LUSC prognosis, whereas CIBERSORT algorithm was used to calculate the degree of relative enrichment degree of among tumor-infiltrating lymphocytes in LUSC. Results Analysis of both datasets revealed high mutations in the TTN gene, with mutants exhibiting a significantly higher TMB value relative to the wild-type (P < 0.001). Prognosis of the TTN mutant group in LUSC was significantly better than that of wild-type (P = 0.009). Kaplan Meier curves showed that TTN mutation may be an independent prognostic factor in LUSC patients (HR: 0.64, 95% CI 0.48–0.85, P = 0.001), while GSEA analysis revealed that TTN mutation plays a potential role in the development of LUSC. Finally, analysis of LUSC immune microenvironment revealed that TTN mutation was significantly associated with enrichment of macrophages M1 (p < 0.05). Conclusion TTN mutation is associated with TMB, and is positively correlated with prognosis of LUSC. Therefore, this mutation may serve as a potential prognostic indicator of LUSC.
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Affiliation(s)
- Sheng Zou
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, People's Republic of China
| | - Jiayue Ye
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, People's Republic of China
| | - Sheng Hu
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, People's Republic of China
| | - Yiping Wei
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, People's Republic of China
| | - Jianjun Xu
- Department of Cardiothoracic Surgery, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, 330006, People's Republic of China
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12
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Ishikawa Y, Miyakoshi N, Kobayashi T, Kikuchi T. Treatment of progressive paralysis associated with cervical myelopathy and suspected amyotrophic lateral sclerosis: A case report. Surg Neurol Int 2021; 12:550. [PMID: 34877036 PMCID: PMC8645501 DOI: 10.25259/sni_830_2021] [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: 08/18/2021] [Accepted: 10/02/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Amyotrophic lateral sclerosis (ALS) is an intractable progressive disease, with an incidence of 2.2– 2.3 per 100,000 individuals, which is not extremely low. ALS symptoms are accompanied by spinal myeloradicular motor deficit; its differential diagnosis is must because progressive paralysis needs emergency surgery. Case Description: A 64-year-old man with suspected ALS showing progressive paralysis with cervical myelopathy was diagnosed as normal after performing a nerve conduction study preoperatively. Postoperative diffuse fasciculation after posterior decompression allowed the diagnosis of ALS through needle electromyography (EMG). Thereafter, the patient’s condition slowly deteriorated and he died after 16 months. Conclusion: Surgery might aggravate ALS symptoms; however, surgery for progressive paralysis in patients with suspected ALS is required for distinguishing patients with non-ALS paralysis. Approximately 70% of cases have spinal-onset ALS lacking typical cranial nerve symptoms; thus, to prevent unnecessary surgery, surgeons should at least know the characteristic features of ALS and should be aware that early diagnosis requires needle EMG for definitive diagnosis of ALS.
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Affiliation(s)
- Yoshinori Ishikawa
- Department of Orthopedic Surgery, Akita Kousei Medical Center, Hondo, Japan
| | - Naohisa Miyakoshi
- Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Hondo, Japan
| | - Takashi Kobayashi
- Department of Orthopedic Surgery, Akita Kousei Medical Center, Hondo, Japan
| | - Toshihiko Kikuchi
- Department of Orthopedic Surgery, Yuri Kumiai General Hospital, Yurihonjo, Akita, Japan
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13
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Yamada S, Hashizume A, Hijikata Y, Ito D, Kishimoto Y, Iida M, Koike H, Hirakawa A, Katsuno M. Ratio of urinary N-terminal titin fragment to urinary creatinine is a novel biomarker for amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2021; 92:1072-1079. [PMID: 33737450 DOI: 10.1136/jnnp-2020-324615] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 02/08/2021] [Accepted: 02/23/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE We aimed to investigate the validity of urinary N-terminal titin fragment as a biomarker for amyotrophic lateral sclerosis (ALS). METHODS We consecutively enrolled patients with ALS (n=70) and healthy controls (HC) (n=43). We assessed the urinary titin N-terminal fragment, urinary neurotrophin receptor p75 extracellular domain, serum neurofilament light chain (NfL), motor functional measurements and prognosis. We used urinary creatinine (Cr) levels to normalise the urinary levels of titin fragment. RESULTS Compared with HC, patients with ALS had significantly increased urinary levels of titin N-terminal fragment normalised with Cr (titin/Cr) (ALS, 27.2 pmol/mg/dL; HC, 5.8 pmol/mg/dL; p<0.001), which were correlated with the scores of the Revised Amyotrophic Lateral Sclerosis Functional Rating Scale (r=-0.422, p<0.001). A Cox proportional hazards model demonstrated that the high urinary level of titin/Cr was a survival predictor in patients with ALS. Multivariate analysis of prognostic factors showed that the urinary titin/Cr and serum NfL were independent factors for poor prognosis. CONCLUSIONS Our findings indicate that urinary N-terminal titin fragment is a non-invasive measure of muscle damage in ALS, which could be applied in disease monitoring and prediction of disease progression, in combination with serum NfL.
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Affiliation(s)
- Shinichiro Yamada
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Atsushi Hashizume
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasuhiro Hijikata
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Daisuke Ito
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshiyuki Kishimoto
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Madoka Iida
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Haruki Koike
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akihiro Hirakawa
- Department of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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14
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Grecu N, Villa L, Cavalli M, Ristaino A, Choumert A, Butori C, Salviati L, Puma A, Krahn M, Cerino M, Sacconi S. Motor axonal neuropathy associated with GNE mutations. Muscle Nerve 2020; 63:396-401. [PMID: 33094863 DOI: 10.1002/mus.27102] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 10/15/2020] [Accepted: 10/18/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Mutations in the GNE gene have been so far described as predominantly associated with distal lower-limb myopathies. Recent reports describe mutations in this gene in patients with peripheral neuropathy and motor neuron disease. METHODS We describe three patients displaying motor neuropathy in association with GNE mutations. Clinical, electrophysiological, imaging, pathological, and genetic data are presented in a retrospective manner. RESULTS The three patients had different phenotypes, ranging from mildly progressive lower limb weakness to a rapidly progressive 4-limb weakness. Genetic testing revealed GNE gene mutations in all patients; of those mutations, p.(His186Arg) has not been previously reported. All patients showed evidence of axonal motor nerve involvement on electrodiagnostic examination and/or muscle biopsy. CONCLUSIONS Nerve involvement associated with GNE gene mutations may be an underdiagnosed pathology and may influence clinical presentation and disease progression.
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Affiliation(s)
- Nicolae Grecu
- Côte d'Azur University, Peripheral Nervous System and Muscle Department, Nice University Hospital, Nice, France
| | - Luisa Villa
- Côte d'Azur University, Peripheral Nervous System and Muscle Department, Nice University Hospital, Nice, France
| | - Michele Cavalli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Antoine Ristaino
- Côte d'Azur University, Peripheral Nervous System and Muscle Department, Nice University Hospital, Nice, France
| | - Ariane Choumert
- Rare Neurological Diseases Department, La Réunion University Hospital, Saint-Pierre, France
| | - Catherine Butori
- Clinical and Experimental Laboratory, Nice University Hospital, Nice, France
| | - Leonardo Salviati
- Department of Women and Children's Health, University of Padova, Padova, Italy
| | - Angela Puma
- Côte d'Azur University, Peripheral Nervous System and Muscle Department, Nice University Hospital, Nice, France
| | - Martin Krahn
- Aix-Marseille Université, Inserm, U1251-MMG, Marseille Medical Genetics, Marseille, France
- Département de Génétique Médicale, APHM, Hôpital Timone Enfants, Marseille, France
| | - Mathieu Cerino
- Aix-Marseille Université, Inserm, U1251-MMG, Marseille Medical Genetics, Marseille, France
- Département de Génétique Médicale, APHM, Hôpital Timone Enfants, Marseille, France
- APHM, Hôpital de la Conception, Laboratoire de Biochimie, Marseille, France
| | - Sabrina Sacconi
- Côte d'Azur University, Peripheral Nervous System and Muscle Department, Nice University Hospital, Nice, France
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15
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Nakamura R, Misawa K, Tohnai G, Nakatochi M, Furuhashi S, Atsuta N, Hayashi N, Yokoi D, Watanabe H, Watanabe H, Katsuno M, Izumi Y, Kanai K, Hattori N, Morita M, Taniguchi A, Kano O, Oda M, Shibuya K, Kuwabara S, Suzuki N, Aoki M, Ohta Y, Yamashita T, Abe K, Hashimoto R, Aiba I, Okamoto K, Mizoguchi K, Hasegawa K, Okada Y, Ishihara T, Onodera O, Nakashima K, Kaji R, Kamatani Y, Ikegawa S, Momozawa Y, Kubo M, Ishida N, Minegishi N, Nagasaki M, Sobue G. A multi-ethnic meta-analysis identifies novel genes, including ACSL5, associated with amyotrophic lateral sclerosis. Commun Biol 2020; 3:526. [PMID: 32968195 PMCID: PMC7511394 DOI: 10.1038/s42003-020-01251-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 08/24/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating progressive motor neuron disease that affects people of all ethnicities. Approximately 90% of ALS cases are sporadic and thought to have multifactorial pathogenesis. To understand the genetics of sporadic ALS, we conducted a genome-wide association study using 1,173 sporadic ALS cases and 8,925 controls in a Japanese population. A combined meta-analysis of our Japanese cohort with individuals of European ancestry revealed a significant association at the ACSL5 locus (top SNP p = 2.97 × 10−8). We validated the association with ACSL5 in a replication study with a Chinese population and an independent Japanese population (1941 ALS cases, 3821 controls; top SNP p = 1.82 × 10−4). In the combined meta-analysis, the intronic ACSL5 SNP rs3736947 showed the strongest association (p = 7.81 × 10−11). Using a gene-based analysis of the full multi-ethnic dataset, we uncovered additional genes significantly associated with ALS: ERGIC1, RAPGEF5, FNBP1, and ATXN3. These results advance our understanding of the genetic basis of sporadic ALS. Gen Sobue, Masao Nagasaki and colleagues report a genome-wide association study for amyotrophic lateral sclerosis (ALS) in a large, multi-ethnic cohort comprising Japanese, Chinese, and European ancestry populations. They find a significant association to variants within the ACSL5 gene and identify novel associations with 4 additional genes using a gene-based approach.
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Affiliation(s)
- Ryoichi Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kazuharu Misawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Department of Molecular Genome Analysis, Institute of Biomedical Science, Kansai Medical University, Hirakata, Osaka, Japan
| | - Genki Tohnai
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masahiro Nakatochi
- Division of Data Science, Department of Nursing, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Sho Furuhashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Naoki Hayashi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Daichi Yokoi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.,Department of Neurology, Kakeyu-Misayama Rehabilitation Center Kakeyu Hospital, Ueda, Nagano, Japan
| | - Hazuki Watanabe
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.,Department of Neurology, Japanese Red Cross Nagoya Daiichi Hospital, Nagoya, Aichi, Japan
| | - Hirohisa Watanabe
- Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.,Department of Neurology, Fujita Health University, Toyoake, Aichi, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yuishin Izumi
- Department of Neurology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Kazuaki Kanai
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan.,Department of Neurology, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mitsuya Morita
- Division of Neurology, Department of Internal Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan
| | - Akira Taniguchi
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Mie, Japan
| | - Osamu Kano
- Division of Neurology, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan
| | - Masaya Oda
- Department of Neurology, Vihara Hananosato Hospital, Miyoshi, Hiroshima, Japan
| | - Kazumoto Shibuya
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Naoki Suzuki
- Department of Neurology, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Yasuyuki Ohta
- Department of Neurology, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Toru Yamashita
- Department of Neurology, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Koji Abe
- Department of Neurology, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Rina Hashimoto
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Aichi, Japan
| | - Ikuko Aiba
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Aichi, Japan
| | - Koichi Okamoto
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Gunma, Japan
| | - Kouichi Mizoguchi
- Department of Neurology, National Hospital Organization Shizuoka Medical Center, Shizuoka, Japan
| | - Kazuko Hasegawa
- Division of Neurology, National Hospital Organization, Sagamihara National Hospital, Sagamihara, Kanagawa, Japan
| | - Yohei Okada
- Department of Neurology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Tomohiko Ishihara
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Kenji Nakashima
- Department of Neurology, National Hospital Organization, Matsue Medical Center, Matsue, Shimane, Japan
| | - Ryuji Kaji
- Department of Neurology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Noriko Ishida
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Masao Nagasaki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan. .,Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Sakyo-ku, Kyoto, Japan. .,Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan.
| | - Gen Sobue
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan. .,Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan. .,Aichi Medical University, Nagakute, Aichi, Japan.
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16
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Lin J, Chen W, Huang P, Xie Y, Zheng M, Yao X. The distinct manifestation of young-onset amyotrophic lateral sclerosis in China. Amyotroph Lateral Scler Frontotemporal Degener 2020; 22:30-37. [DOI: 10.1080/21678421.2020.1797091] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Jianing Lin
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Weineng Chen
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Pian Huang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Youna Xie
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Minying Zheng
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
| | - Xiaoli Yao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China
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17
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A nerve conduction study predicts the prognosis of sporadic amyotrophic lateral sclerosis. J Neurol 2020; 267:2524-2532. [PMID: 32367295 DOI: 10.1007/s00415-020-09858-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/19/2020] [Accepted: 04/22/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To clarify the relationship between nerve conduction study (NCS) and prognosis in patients with amyotrophic lateral sclerosis (ALS). METHODS We included 190 patients with sporadic ALS. We used onset age, sex, onset site (bulbar vs. spinal), revised El Escorial criteria category (definite vs. others), and the King's clinical systems, and the Milano-Torino (MiToS) functional staging systems, and decline rates of revised ALS functional rating scale (ALSFRS-R) as known prognostic factors. An NCS was performed on the median, ulnar, tibial, and sural nerves. The endpoint was death or the introduction of tracheostomy positive-pressure ventilation. Multivariate analysis for each NCS variable, known prognostic factors was performed using Cox stepwise proportional hazards analysis. Univariate analysis was performed for NCS variables that showed a significant association with prognosis in multivariate analysis. Survival was analyzed with a Kaplan-Meier curve and log-rank test. RESULTS The Cox model identified the compound muscle action potential (CMAP) and sensory nerve action potential (SNAP) amplitudes of the median nerve as prognostic factors. In the log-rank test, patients with higher median nerve CMAP amplitude had a significantly better prognosis than those with lower amplitude, regardless of age. And prognosis was better in the group with lower median nerve SNAP amplitude only in patients younger than the 25th percentile (~ 57 years). CONCLUSIONS CMAP and SNAP amplitudes of the median nerve are considered to be independent prognostic factors of sporadic ALS.
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18
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Hayashi N, Atsuta N, Yokoi D, Nakamura R, Nakatochi M, Katsuno M, Izumi Y, Kanai K, Hattori N, Taniguchi A, Morita M, Kano O, Shibuya K, Kuwabara S, Suzuki N, Aoki M, Aiba I, Mizoguchi K, Oda M, Kaji R, Sobue G. Prognosis of amyotrophic lateral sclerosis patients undergoing tracheostomy invasive ventilation therapy in Japan. J Neurol Neurosurg Psychiatry 2020; 91:285-290. [PMID: 31937581 DOI: 10.1136/jnnp-2019-322213] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/21/2019] [Accepted: 12/24/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The aim of this study is to describe and clarify the factors affecting the prognosis of Japanese patients with amyotrophic lateral sclerosis (ALS) undergoing tracheostomy invasive ventilation (TIV) therapy. METHODS We conducted a prospective longitudinal observational case-control study using a multicentre registry. ALS patients who started TIV therapy after registration (TIV group) and those who did not receive TIV (non-TIV group) were included. We compared the survival time between the TIV group and the non-TIV group using a propensity score matching analysis and evaluated the prognostic factors in the TIV group. RESULTS From February 2006 to January 2018, 190 patients in the TIV group and 1093 patients in the non-TIV group were included in this study. The mean age of disease onset and usage rate of gastrostomy and non-invasive ventilation therapy differed between the groups. In the propensity score matching analysis using known prognostic factors, the median overall survival time of the TIV group was significantly greater than that of the non-TIV group (11.33 years vs 4.61 years; p<0.001). Analysis using the Cox proportional hazard model suggested that older age of onset and respiratory onset was an independent factor for poor prognosis after starting TIV therapy. CONCLUSION We showed that there was a significant difference of approximately 7 years in life expectancy between Japanese ALS patients who did and did not receive TIV therapy.
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Affiliation(s)
- Naoki Hayashi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Daichi Yokoi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ryoichi Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masahiro Nakatochi
- Data Science Division, Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuishin Izumi
- Department of Clinical Neuroscience, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Kazuaki Kanai
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.,Department of Neurology, Fukushima Medical University, Fukushima, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Akira Taniguchi
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Mitsuya Morita
- Division of Neurology, Department of Internal Medicine, Jichi Medical University, Shomotsuke, Japan
| | - Osamu Kano
- Division of Neurology, Department of Internal Medicine, Toho University School of Medicine, Tokyo, Japan
| | - Kazumoto Shibuya
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Naoki Suzuki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ikuko Aiba
- Department of Neurology, National Hospital Organization Higashinagoya National Hospital, Nagoya, Japan
| | - Kouichi Mizoguchi
- Department of Neurology, National Hospital Organization, Shizuoka Medical Center, Shimizu-cho, Japan
| | - Masaya Oda
- Department of Neurology, Mifukai Vihara Hananosato Hospital, Miyoshi, Japan
| | - Ryuji Kaji
- Department of Clinical Neuroscience, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Gen Sobue
- Brain and Mind Research Center, Nagoya University Graduate School of Medicine, Nagoya, Japan .,Aichi Medical University, Nagakute, Japan
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19
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Deng Y, Xie Q, Zhang G, Li S, Wu Z, Ma Z, He X, Gao Y, Wang Y, Kang X, Wang J. Slow skeletal muscle troponin T, titin and myosin light chain 3 are candidate prognostic biomarkers for Ewing's sarcoma. Oncol Lett 2019; 18:6431-6442. [PMID: 31807166 PMCID: PMC6876326 DOI: 10.3892/ol.2019.11044] [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: 03/16/2019] [Accepted: 09/17/2019] [Indexed: 11/29/2022] Open
Abstract
Ewing's sarcoma (ES) is a common malignant bone tumor in children and adolescents. Although great efforts have been made to understand the pathogenesis and development of ES, the underlying molecular mechanism remains unclear. The present study aimed to identify new key genes as potential biomarkers for the diagnosis, targeted therapy or prognosis of ES. mRNA expression profile chip data sets GSE17674, GSE17679 and GSE45544 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened using the R software limma package, and functional and pathway enrichment analyses were performed using the enrichplot package and GSEA software. The NetworkAnalyst online tool, as well as Cytoscape and its plug-ins cytoHubba and NetworkAnalyzer, were used to construct a protein-protein interaction network (PPI) and conduct module analysis to screen key (hub) genes. LABSO COX regression and overall survival (OS) analysis of the Hub genes were performed. A total of 211 DEGs were obtained by integrating and analyzing the three data sets. The functions and pathways of the DEGs were mainly associated with the regulation of small-molecule metabolic processes, cofactor-binding, amino acid, proteasome and ribosome biosynthesis in eukaryotes, as well as the Rac1, cell cycle and P53 signaling pathways. A total of one important module and 20 hub genes were screened from the PPI network using the Maximum Correlation Criteria algorithm of cytoHubba. LASSO COX regression results revealed that titin (TTN), fast skeletal muscle troponin T, skeletal muscle actin α-actin, nebulin, troponin C type 2 (fast), myosin light-chain 3 (MYL3), slow skeletal muscle troponin T (TNNT1), myosin-binding protein C1 slow-type, tropomyosin 3 and myosin heavy-chain 7 were associated with prognosis in patients with ES. The Kaplan-Meier curves demonstrated that high mRNA expression levels of TNNT1 (P<0.001), TTN (P=0.049), titin-cap (P=0.04), tropomodulin 1 (P=0.011), troponin I2 fast skeletal type (P=0.021) and MYL3 (P=0.017) were associated with poor OS in patients with ES. In conclusion, the DEGs identified in the present study may be key genes in the pathogenesis of ES, three of which, namely TNNT1, TTN and MYL3, may be potential prognostic biomarkers for ES.
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Affiliation(s)
- Yajun Deng
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Qiqi Xie
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Guangzhi Zhang
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Shaoping Li
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Zuolong Wu
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Zhanjun Ma
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Xuegang He
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Yicheng Gao
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Yonggang Wang
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Xuewen Kang
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
| | - Jing Wang
- Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China.,Key Laboratory of Orthopedic Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, P.R. China
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20
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Effect of edaravone therapy in Korean amyotrophic lateral sclerosis (ALS) patients. Neurol Sci 2019; 41:119-123. [PMID: 31471712 PMCID: PMC7223963 DOI: 10.1007/s10072-019-04055-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/24/2019] [Indexed: 12/15/2022]
Abstract
Oxidative stress caused by free radicals has been implicated in the pathogenesis of amyotrophic lateral sclerosis (ALS). Edaravone (also known as MCI-186), a free radical scavenger, was approved as an ALS treatment in 2015 in Japan. However, the therapeutic effects of edaravone on patients with ALS outside of Japan are not yet reported. This study aims to investigate effects of edaravone on ALS patients in the Korean population. The study included 22 patients with ALS who were treated with edaravone. Of the 16 patients who finished six cycles of treatment, a mean decline of ALSFRS-R after the treatments was 5.75 ± 6.07 points and the average change of FVC was − 8.7 ± 17.0%. Patients experienced only minor adverse events. This study reports on the open-label study of edaravone on patients in Korea for ALS patients, which showed a modest effect of edaravone in this population of ALS patients.
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21
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Prognostic significance of body weight variation after diagnosis in ALS: a single-centre prospective cohort study. J Neurol 2019; 266:1412-1420. [PMID: 30868220 DOI: 10.1007/s00415-019-09276-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/28/2019] [Accepted: 03/07/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Body weight reduction after disease onset is an independent predictor of survival in amyotrophic lateral sclerosis (ALS), but significance of weight variation after diagnosis remains to be established. OBJECTIVE To investigate weight variation after diagnosis and its prognostic significance in patients with ALS as a prospective cohort study. METHODS Seventy-nine patients with ALS were enrolled in this study. At the time of diagnosis and about 1 year later, we evaluated the following parameters: age, sex, onset age, onset region, body mass index (BMI) and premorbid BMI, forced vital capacity and the revised ALS functional rating scale. Annual BMI decline rates (∆BMI) from onset to diagnosis and from diagnosis to about 1 year later were calculated. Patients were followed to the endpoints (death or tracheostomy), and the relationships between ∆BMIs and survival were investigated. RESULTS Patients with post-diagnostic ∆BMI ≥ 2.0 kg/m2/year showed shorter survival length than those with < 2.0 kg/m2/year (log-rank test, p < 0.0001), and multivariate analysis using the Cox model revealed post-diagnostic ∆BMI as an independent prognostic factor. No correlation was identified between pre- and post-diagnostic ∆BMIs. Female patients with post-diagnostic ∆BMI < pre-diagnostic ∆BMI showed longer survival than those with the opposite ∆BMI trend (log-rank test, p = 0.0147). Female patients with post-diagnostic weight increase showed longer survival than those with weight decrease (log-rank test, p = 0.0228). CONCLUSION Body weight changes after diagnosis strongly predicts survival in ALS, and weight gain after diagnosis may improve survival prognosis, particularly in female ALS patients.
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Ikenaka K, Atsuta N, Maeda Y, Hotta Y, Nakamura R, Kawai K, Yokoi D, Hirakawa A, Taniguchi A, Morita M, Mizoguchi K, Mochizuki H, Kimura K, Katsuno M, Sobue G. Increase of arginine dimethylation correlates with the progression and prognosis of ALS. Neurology 2019; 92:e1868-e1877. [PMID: 30867270 DOI: 10.1212/wnl.0000000000007311] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/17/2018] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To investigate whether arginine methylation is altered in patients with amyotrophic lateral sclerosis (ALS) and how it affects disease severity, progression, and prognosis. METHODS We compared the immunoreactivity of protein arginine methyltransferase 1 (PRMT1) and its products, asymmetric dimethylated proteins (ASYM), in postmortem spinal cord. We also measured the concentrations of total l-arginine and methylated arginine residues, including asymmetric dimethyl l-arginine (ADMA), symmetric dimethyl arginine, and monomethyl arginine, in CSF samples from 52 patients with ALS using liquid chromatography-tandem mass spectrometry, and we examined their relationship with the progression and prognosis of ALS. RESULTS The immunoreactivity of both PRMT1 (p < 0.0001) and ASYM (p = 0.005) was increased in patients with ALS. The concentration of ADMA in CSF was substantially higher in patients with ALS than in disease controls. The ADMA/l-arginine ratio was correlated with the change of decline in the ALS Functional Rating Scale at 12 months after the time of measurement (r = 0.406, p = 0.010). A Cox proportional hazards model showed that the ADMA/l-arginine ratio was an independent predictor for overall survival. Moreover, a high ADMA/l-arginine ratio predicted poor prognosis, even in a group with normal percentage forced vital capacity. CONCLUSION There was an enhancement of arginine dimethylation in patients with ALS, and the ADMA/l-arginine ratio predicted disease progression and prognosis in such patients.
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Affiliation(s)
- Kensuke Ikenaka
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Naoki Atsuta
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Yasuhiro Maeda
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Yuji Hotta
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Ryoichi Nakamura
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Kaori Kawai
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Daichi Yokoi
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Akihiro Hirakawa
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Akira Taniguchi
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Mitsuya Morita
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Kouichi Mizoguchi
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Hideki Mochizuki
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Kazunori Kimura
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Masahisa Katsuno
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan
| | - Gen Sobue
- From the Department of Neurology (K.I., N.A., R.N., K. Kawai, D.Y., M.K., G.S.), Nagoya University Graduate School of Medicine; Department of Neurology (K.I., H.M.), Osaka University Graduate School of Medicine, Suita; Department of Hospital Pharmacy (Y.M., Y.H., K. Kimura), Nagoya City University Graduate School of Pharmaceutical Sciences; Department of Biostatistics and Bioinformatics (A.H.), University of Tokyo; Department of Neurology (A.T.), Mie University Graduate School of Medicine, Tsu; Department of Neurology (M.M.), Jichi Medical University, Shimotsuke, Tochigi; National Hospital Organization, Shizuoka Medical Center (K.M.); and Brain and Mind Research Center (G.S.), Nagoya University, Aichi, Japan.
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23
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Aggregate analysis based on TCGA: TTN missense mutation correlates with favorable prognosis in lung squamous cell carcinoma. J Cancer Res Clin Oncol 2019; 145:1027-1035. [DOI: 10.1007/s00432-019-02861-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 02/08/2019] [Indexed: 01/09/2023]
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24
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Wier CG, Crum AE, Reynolds AB, Iyer CC, Chugh D, Palettas MS, Heilman PL, Kline DM, Arnold WD, Kolb SJ. Muscle contractility dysfunction precedes loss of motor unit connectivity in SOD1(G93A) mice. Muscle Nerve 2018; 59:254-262. [PMID: 30370671 DOI: 10.1002/mus.26365] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 09/17/2018] [Accepted: 10/22/2018] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Electrophysiological measurements are used in longitudinal clinical studies to provide insight into the progression of amyotrophic lateral sclerosis (ALS) and the relationship between muscle weakness and motor unit (MU) degeneration. Here, we used a similar longitudinal approach in the Cu/Zn superoxide dismutase (SOD1[G93A]) mouse model of ALS. METHODS In vivo muscle contractility and MU connectivity assays were assessed longitudinally in SOD1(G93A) and wild type mice from postnatal days 35 to 119. RESULTS In SOD1(G93A) males, muscle contractility was reduced by day 35 and preceded MU loss. Muscle contractility and motor unit reduction were delayed in SOD1(G93A) females compared with males, but, just as with males, muscle contractility reduction preceded MU loss. DISCUSSION The longitudinal contractility and connectivity paradigm employed here provides additional insight into the SOD1(G93A) mouse model and suggests that loss of muscle contractility is an early finding that may precede loss of MUs and motor neuron death. Muscle Nerve 59:254-262, 2019.
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Affiliation(s)
- Christopher G Wier
- Department of Biological Chemistry and Pharmacology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Alexander E Crum
- Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA
| | - Anthony B Reynolds
- Department of Biological Chemistry and Pharmacology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Chitra C Iyer
- Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA
| | - Deepti Chugh
- Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA
| | - Marilly S Palettas
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA
| | - Patrick L Heilman
- Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA
| | - David M Kline
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA
| | - W David Arnold
- Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA.,Department of Physical Medicine and Rehabilitation, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.,Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.,Department of Physiology and Cell Biology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Stephen J Kolb
- Department of Biological Chemistry and Pharmacology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.,Department of Neurology, Division of Neuromuscular Medicine, The Ohio State University Wexner Medical Center, 395 West 12th Avenue, Columbus, Ohio, 43210, USA
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25
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Modeling sporadic ALS in iPSC-derived motor neurons identifies a potential therapeutic agent. Nat Med 2018; 24:1579-1589. [PMID: 30127392 DOI: 10.1038/s41591-018-0140-5] [Citation(s) in RCA: 209] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 07/11/2018] [Indexed: 12/21/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a heterogeneous motor neuron disease for which no effective treatment is available, despite decades of research into SOD1-mutant familial ALS (FALS). The majority of ALS patients have no familial history, making the modeling of sporadic ALS (SALS) essential to the development of ALS therapeutics. However, as mutations underlying ALS pathogenesis have not yet been identified, it remains difficult to establish useful models of SALS. Using induced pluripotent stem cell (iPSC) technology to generate stem and differentiated cells retaining the patients' full genetic information, we have established a large number of in vitro cellular models of SALS. These models showed phenotypic differences in their pattern of neuronal degeneration, types of abnormal protein aggregates, cell death mechanisms, and onset and progression of these phenotypes in vitro among cases. We therefore developed a system for case clustering capable of subdividing these heterogeneous SALS models by their in vitro characteristics. We further evaluated multiple-phenotype rescue of these subclassified SALS models using agents selected from non-SOD1 FALS models, and identified ropinirole as a potential therapeutic candidate. Integration of the datasets acquired in this study permitted the visualization of molecular pathologies shared across a wide range of SALS models.
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26
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Senda J, Atsuta N, Watanabe H, Bagarinao E, Imai K, Yokoi D, Riku Y, Masuda M, Nakamura R, Watanabe H, Ito M, Katsuno M, Naganawa S, Sobue G. Structural MRI correlates of amyotrophic lateral sclerosis progression. J Neurol Neurosurg Psychiatry 2017; 88:901-907. [PMID: 28501822 DOI: 10.1136/jnnp-2016-314337] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 02/09/2017] [Accepted: 03/06/2017] [Indexed: 11/04/2022]
Abstract
PURPOSE Amyotrophic lateral sclerosis (ALS) presents with varying degrees of brain degeneration that can extend beyond the corticospinal tract (CST). Furthermore, the clinical course and progression of ALS varies widely. Brain degeneration detected using structural MRI could reflect disease progression. SUBJECTS AND METHODS On study registration, 3-Tesla volumetric MRI and diffusion tensor imaging scans were obtained at baseline in 38 healthy controls and 67 patients with sporadic ALS. Patients had Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) scores of ≥36 and did not have the chromosome 9, open reading frame 72 repeat expansion. Six months later, changes in ALSFRS-R (ΔALSFRS-R) scores were calculated and patients were grouped into three categories, namely, patients with slow progression with ΔALSFRS-R scores ≤3 (n=19), intermediate progression with ΔALSFRS-R scores =4, 5 and 6 (n=36) and rapid progression with ΔALSFRS-R scores ≥7 (n=12). We analysed voxel-based morphometry and tract-based spatial statistics among these subgroups and controls. RESULTS In comparison with controls, patients with ALS showed grey matter atrophy and decreased fractional anisotropy beyond the motor cortex and CST, especially in the frontotemporal lobes and basal ganglia. Moreover, the degree of change was highly proportional to ΔALSFRS-R at the 6-month assessment. CONCLUSION A more rapid disease progression and poorer functional decline were associated with greater involvement of the extra-motor cortex and basal ganglia, suggesting that the spatial extent of brain involvement can be an indicator of the progression in ALS.
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Affiliation(s)
- Joe Senda
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.,Department of Neurology and Rehabilitation, Komaki City Hospital, Komaki, Aichi, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Hirohisa Watanabe
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.,Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan
| | | | - Kazunori Imai
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Daichi Yokoi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yuichi Riku
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Michihito Masuda
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Ryoichi Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Hazuki Watanabe
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mizuki Ito
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Shinji Naganawa
- Brain and Mind Research Center, Nagoya University, Nagoya, Aichi, Japan.,Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Gen Sobue
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.,Research Division of Dementia and Neurodegenerative Disease, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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27
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Shahrizaila N, Sobue G, Kuwabara S, Kim SH, Birks C, Fan DS, Bae JS, Hu CJ, Gourie-Devi M, Noto Y, Shibuya K, Goh KJ, Kaji R, Tsai CP, Cui L, Talman P, Henderson RD, Vucic S, Kiernan MC. Amyotrophic lateral sclerosis and motor neuron syndromes in Asia. J Neurol Neurosurg Psychiatry 2016; 87:821-30. [PMID: 27093948 DOI: 10.1136/jnnp-2015-312751] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2016] [Accepted: 03/23/2016] [Indexed: 12/11/2022]
Abstract
While the past 2 decades have witnessed an increasing understanding of amyotrophic lateral sclerosis (ALS) arising from East Asia, particularly Japan, South Korea, Taiwan and China, knowledge of ALS throughout the whole of Asia remains limited. Asia represents >50% of the world population, making it host to the largest patient cohort of ALS. Furthermore, Asia represents a diverse population in terms of ethnic, social and cultural backgrounds. In this review, an overview is presented that covers what is currently known of ALS in Asia from basic epidemiology and genetic influences, through to disease characteristics including atypical phenotypes which manifest a predilection for Asians. With the recent establishment of the Pan-Asian Consortium for Treatment and Research in ALS to facilitate collaborations between clinicians and researchers across the region, it is anticipated that Asia and the Pacific will contribute to unravelling the uncertainties in ALS.
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Affiliation(s)
- N Shahrizaila
- Faculty of Medicine, Neurology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - G Sobue
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - S Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - S H Kim
- Department of Neurology, Hanyang University Medical Center, Seoul, South Korea
| | - Carol Birks
- International Alliance of ALS/MND Associations, Sydney, New South Wales, Australia
| | - D S Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - J S Bae
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - C J Hu
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - M Gourie-Devi
- Department of Neurology, Institute of Human Behaviour and Allied Sciences (IHBAS), New Delhi, Delhi, India
| | - Y Noto
- Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - K Shibuya
- Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - K J Goh
- Faculty of Medicine, Neurology Unit, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - R Kaji
- Department of Clinical Neuroscience, Institute of Health Biosciences, University of Tokushima Graduate School, Tokushima, Japan
| | - C P Tsai
- Department of Neurology, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - L Cui
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - P Talman
- Neurology Unit, Calvary Health Care, Bethlehem Hospital, Caulfield, Victoria, Australia
| | - R D Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - S Vucic
- The Brain Dynamics Centre, Westmead Millennium Institute, Westmead, NSW and Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - M C Kiernan
- Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
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