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Benatar M, Wuu J, Huey ED, McMillan CT, Petersen RC, Postuma R, McHutchison C, Dratch L, Arias JJ, Crawley A, Houlden H, McDermott MP, Cai X, Thakur N, Boxer A, Rosen H, Boeve BF, Dacks P, Cosentino S, Abrahams S, Shneider N, Lingor P, Shefner J, Andersen PM, Al-Chalabi A, Turner MR. The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology. Nat Rev Neurol 2024; 20:364-376. [PMID: 38769202 DOI: 10.1038/s41582-024-00961-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 05/22/2024]
Abstract
Increasing appreciation of the phenotypic and biological overlap between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, alongside evolving biomarker evidence for a pre-symptomatic stage of disease and observations that this stage of disease might not always be clinically silent, is challenging traditional views of these disorders. These advances have highlighted the need to adapt ingrained notions of these clinical syndromes to include both the full phenotypic continuum - from clinically silent, to prodromal, to clinically manifest - and the expanded phenotypic spectrum that includes ALS, frontotemporal dementia and some movement disorders. The updated clinical paradigms should also align with our understanding of the biology of these disorders, reflected in measurable biomarkers. The Miami Framework, emerging from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023; a full list of attendees and their affiliations appears in the Supplementary Information) proposes a classification system built on: first, three parallel phenotypic axes - motor neuron, frontotemporal and extrapyramidal - rather than the unitary approach of combining all phenotypic elements into a single clinical entity; and second, biomarkers that reflect different aspects of the underlying pathology and biology of neurodegeneration. This framework decouples clinical syndromes from biomarker evidence of disease and builds on experiences from other neurodegenerative diseases to offer a unified approach to specifying the pleiotropic clinical manifestations of disease and describing the trajectory of emergent biomarkers.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Joanne Wuu
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Edward D Huey
- Department of Psychiatry and Human Behaviour, Alpert Medical School of Brown University, Providence, RI, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Ronald Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Caroline McHutchison
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jalayne J Arias
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | | | - Henry Houlden
- UCL Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael P McDermott
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Xueya Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | | | - Adam Boxer
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Howard Rosen
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Penny Dacks
- Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | | | - Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Neil Shneider
- Department of Neurology, Columbia University, New York, NY, USA
| | - Paul Lingor
- Department of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | - Jeremy Shefner
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Sun S, Chen Y, Zhao B, Zhu J, Wen T, Peng B, Ren Q, Sun X, Lin P, Zhang D, Liu S. Abnormal brain functional network dynamics in amyotrophic lateral sclerosis patients with depression. Brain Imaging Behav 2024:10.1007/s11682-024-00896-5. [PMID: 38814545 DOI: 10.1007/s11682-024-00896-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2024] [Indexed: 05/31/2024]
Abstract
Since depression is common in amyotrophic lateral sclerosis (ALS) patients, we aimed to explore the specific brain functional network dynamics in ALS patients with depression (ALS-D) compared with healthy controls (HCs) and ALS patients without depressive symptoms (ALS-ND). According to the DSM-V, 32 ALS-D patients were selected from a large and newly diagnosed ALS cohort. Then, 32 demographic- and cognitive-matched ALS-ND patients were also selected, and 64 HCs were recruited. These participants underwent resting-state fMRI scans, and functional connectivity state analysis and dynamic graph theory were applied to evaluate brain functional network dynamics. Moreover, the Hamilton Depression Rating Scale (HDRS) was used to quantify depressive symptoms in the ALS-D patients. Four distinct states were identified in the ALS-D patients and controls. Compared with that in HCs, the fraction rate (FR) in state 2 was significantly decreased in ALS-D patients, and the FR in state 4 was significantly increased in ALS-D patients. Compared with that of HCs, the dwell time in state 4 was significantly increased in the ALS-D patients. Moreover, compared with that in the ALS-D patients, the FR in state 3 was significantly decreased in the ALS-ND patients. Among the ALS-D patients, there was the suggestion of a positive association between HDRS scores and dwell time of state 4, but this association did not reach statistical significance (r = 0.354; p = 0.055). Depression is an important feature of ALS patients, and we found a special pattern of brain functional network dynamics in ALS-D patients. Our findings may play an important role in understanding the mechanism underlying depression in ALS patients and help develop therapeutic interventions for depressed ALS patients.
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Affiliation(s)
- Sujuan Sun
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Yujing Chen
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Bing Zhao
- Department of Neurology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Jun Zhu
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Tianrui Wen
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Bingnan Peng
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Qingguo Ren
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Xiaohan Sun
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Pengfei Lin
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China
| | - Dong Zhang
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China.
| | - Shuangwu Liu
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, West Wenhua Street No. 107, Jinan, 250012, China.
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
- Department of Neurology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
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Malaspina A. Use of biomarkers in clinical trials and future developments that will help identify novel biomarkers. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:171-207. [PMID: 38802175 DOI: 10.1016/bs.irn.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Engineering new solutions for therapeutic benefit in Amyotrophic Lateral Sclerosis (ALS) has proved a difficult task to accomplish. This is largely the reflection of complexities at multiple levels, that require solutions to improve cost-effectiveness and outcomes. The main obstacle related to the condition's clinical heterogeneity, chiefly the broad difference in survival observed among ALS patients, imposes large populations studies and long follow-up to evaluate any efficacy. The emerging solution is composite clinical and biological parameters enabling prognostic stratification into homogeneous phenotypes for more affordable studies. From a therapeutic development perspective, the choice of a medicinal product requires the availability of treatment-specific biomarkers of target engagement to identify off-target effects based on the compound's putative modality of action. More importantly, there are no established biomarkers of treatment response that can complement clinical outcome measures and support futility and end of treatment analyses of efficacy. Ultimately the onus rests on the development of biomarkers encompassing the unmet needs of clinical trial design, from inclusion to efficacy. These readouts of the pathological process may be used in combination with clinical and paraclinical outcome measured, significantly reducing the time and financial burden of clinical studies. Progress towards a biomarker-driven clinical trial design in ALS has been possible thanks to the accurate detection of neurofilaments and of other immunological mediators in biological fluids with the disease progression, a step change enabling the testing of novel therapeutic agents in a new clinical trial setting. However, further progress remains to be made to find treatment specific target engagement biomarkers along with readouts of treatment response that can be reliably applied to all emerging therapies and clinical studies. Here we will cover the basic notions of biomarker development in ALS clinical trials, the most crucial unanswered questions and the unmet needs in the ALS biomarkers space.
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Affiliation(s)
- Andrea Malaspina
- Professor of Neurology, Queen Square MND Centre, Instute of Neurology, London, United Kingdom.
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Vaage AM, Benth JŠ, Meyer HE, Holmøy T, Nakken O. Premorbid lipid levels and long-term risk of ALS-a population-based cohort study. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:358-366. [PMID: 38117120 DOI: 10.1080/21678421.2023.2295455] [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: 12/11/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE To assess the temporal relationship between premorbid lipid levels and long-term amyotrophic lateral sclerosis (ALS) risk. METHODS From Norwegian cardiovascular health surveys (1974-2003), we collected information on total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glucose, and other cardiovascular risk factors. ALS incidence and mortality were identified through validated Norwegian health registries. The relation between premorbid lipid levels and ALS risk was assessed by Cox regression models. RESULTS Out of 640,066 study participants (51.5% females), 974 individuals (43.5% females) developed ALS. Mean follow-up time was 23.7 (SD 7.1) years among ALS cases. One mmol/l increase in LDL-C was associated with 6% increase in risk for ALS (hazard ratio 1.06 [95% CI: 1.01-1.09]). Higher levels of TC and TG were also associated with increased ALS risk, but only within the last 6-7 years prior to ALS diagnosis or death. No association between HDL-C and ALS risk was found. Adjusting for body mass index, birth cohort, smoking, and physical activity did not alter the results. CONCLUSIONS Higher levels of LDL-C are associated with increased ALS risk over 40 years later, compatible with a causal relationship. The temporal relationship between TG, TC, and ALS risk suggests that increased levels of these lipid biomarkers represent consequences of ALS.
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Affiliation(s)
- Anders Myhre Vaage
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jūratė Šaltytė Benth
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Haakon E Meyer
- Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway, and
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - Trygve Holmøy
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ola Nakken
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
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5
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McHutchison CA, Wuu J, McMillan CT, Rademakers R, Statland J, Wu G, Rampersaud E, Myers J, Hernandez JP, Abrahams S, Benatar M. Temporal course of cognitive and behavioural changes in motor neuron diseases. J Neurol Neurosurg Psychiatry 2024; 95:316-324. [PMID: 37827570 PMCID: PMC10958376 DOI: 10.1136/jnnp-2023-331697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 09/06/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Cognitive and behavioural dysfunction may occur in people with motor neuron disease (MND), with some studies suggesting an association with the C9ORF72 repeat expansion. Their onset and progression, however, is poorly understood. We explored how cognition and behaviour change over time, and whether demographic, clinical and genetic factors impact these changes. METHODS Participants with MND were recruited through the Phenotype-Genotype-Biomarker study. Every 3-6 months, the Edinburgh Cognitive and Behavioural ALS Screen (ECAS) was used to assess amyotrophic lateral sclerosis (ALS) specific (executive functioning, verbal fluency, language) and ALS non-specific (memory, visuospatial) functions. Informants reported on behaviour symptoms via semi-structured interview. RESULTS Participants with neuropsychological data at ≥3 visits were included (n=237, mean age=59, 60% male), of which 18 (8%) were C9ORF72 positive. Baseline cognitive impairment was apparent in 18 (8%), typically in ALS specific domains, and associated with lower education, but not C9ORF72 status. Cognition, on average, remained stable over time, with two exceptions: (1) C9ORF72 carriers declined in all ECAS domains, (2) 8%-9% of participants with baseline cognitive impairment further declined, primarily in the ALS non-specific domain, which was associated with less education. Behavioural symptoms were uncommon. CONCLUSIONS In this study, cognitive dysfunction was less common than previously reported and remained stable over time for most. However, cognition declines longitudinally in a small subset, which is not entirely related to C9ORF72 status. Our findings raise questions about the timing of cognitive impairment in MND, and whether it arises during early clinically manifest disease or even prior to motor manifestations.
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Affiliation(s)
- Caroline A McHutchison
- School of Philosophy, Psychology, and Language Sciences, The University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, The University of Edinburgh, Edinburgh, UK
| | - Joanne Wuu
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rosa Rademakers
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jeffrey Statland
- Department of Neurology, The University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Gang Wu
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Evadnie Rampersaud
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Jason Myers
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Jessica P Hernandez
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Sharon Abrahams
- School of Philosophy, Psychology, and Language Sciences, The University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, The University of Edinburgh, Edinburgh, UK
| | - Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
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Marrie RA, Maxwell CJ, Rotstein DL, Tsai CC, Tremlett H. Prodromes in demyelinating disorders, amyotrophic lateral sclerosis, Parkinson disease, and Alzheimer's dementia. Rev Neurol (Paris) 2024; 180:125-140. [PMID: 37567819 DOI: 10.1016/j.neurol.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 08/13/2023]
Abstract
A prodrome is an early set of symptoms, which indicates the onset of a disease; these symptoms are often non-specific. Prodromal phases are now recognized in multiple central nervous system diseases. The depth of understanding of the prodromal phase varies across diseases, being more nascent for multiple sclerosis for example, than for Parkinson disease or Alzheimer's disease. Key challenges when identifying the prodromal phase of a disease include the lack of specificity of prodromal symptoms, and consequent need for accessible and informative biomarkers. Further, heterogeneity of the prodromal phase may be influenced by age, sex, genetics and other poorly understood factors. Nonetheless, recognition that an individual is in the prodromal phase of disease offers the opportunity for earlier diagnosis and with it the opportunity for earlier intervention.
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Affiliation(s)
- R A Marrie
- Departments of Internal Medicine and Community Health Sciences, Rady Faculty of Health Sciences, Max-Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
| | - C J Maxwell
- Schools of Pharmacy and Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - D L Rotstein
- Department of Medicine, University of Toronto, 6, Queen's Park Crescent West, 3rd floor, M5S 3H2 Toronto, Ontario, Canada; Saint-Michael's Hospital, 30, Bond Street, M5B 1W8 Toronto, Ontario, Canada
| | - C-C Tsai
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - H Tremlett
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
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Benatar M, Ostrow LW, Lewcock JW, Bennett F, Shefner J, Bowser R, Larkin P, Bruijn L, Wuu J. Biomarker Qualification for Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: Theory and Practice. Ann Neurol 2024; 95:211-216. [PMID: 38110839 PMCID: PMC10842825 DOI: 10.1002/ana.26860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/20/2023]
Abstract
OBJECTIVE To explore whether the utility of neurofilament light chain (NfL), as a biomarker to aid amyotrophic lateral sclerosis (ALS) therapy development, would be enhanced by obtaining formal qualification from the US Food and Drug Administration for a defined context-of-use. METHODS Consensus discussion among academic, industry, and patient advocacy group representatives. RESULTS A wealth of scientific evidence supports the use of NfL as a prognostic, response, and potential safety biomarker in the broad ALS population, and as a risk/susceptibility biomarker among the subset of SOD1 pathogenic variant carriers. Although NfL has not yet been formally qualified for any of these contexts-of-use, the US Food and Drug Administration has provided accelerated approval for an SOD1-lowering antisense oligonucleotide, based partially on the recognition that a reduction in NfL is reasonably likely to predict a clinical benefit. INTERPRETATION The increasing incorporation of NfL into ALS therapy development plans provides evidence that its utility-as a prognostic, response, risk/susceptibility, and/or safety biomarker-is already widely accepted by the community. The willingness of the US Food and Drug Administration to base regulatory decisions on rigorous peer-reviewed data-absent formal qualification, leads us to conclude that formal qualification, despite some benefits, is not essential for ongoing and future use of NfL as a tool to aid ALS therapy development. Although the balance of considerations for and against seeking NfL biomarker qualification will undoubtedly vary across different diseases and contexts-of-use, the robustness of the published data and careful deliberations of the ALS community may offer valuable insights for other disease communities grappling with the same issues. ANN NEUROL 2024;95:211-216.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lyle W Ostrow
- Department of Neurology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
- CReATe Biomarkers External Advisory Committee
| | - Joseph W Lewcock
- CReATe Biomarkers External Advisory Committee
- Denali Therapeutics, South San Francisco, CA, USA
| | - Frank Bennett
- CReATe Biomarkers External Advisory Committee
- Ionis Pharmaceuticals, Carlsbad, CA, USA
| | - Jeremy Shefner
- CReATe Biomarkers External Advisory Committee
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Robert Bowser
- CReATe Biomarkers External Advisory Committee
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, USA
| | | | - Lucie Bruijn
- CReATe Biomarkers External Advisory Committee
- Novartis Pharmaceuticals UK, London, UK
| | - Joanne Wuu
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
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Wu F, Malek AM, Buchanich JM, Arena VC, Rager JR, Sharma RK, Vena JE, Bear T, Talbott EO. Exposure to ambient air toxicants and the risk of amyotrophic lateral sclerosis (ALS): A matched case control study. ENVIRONMENTAL RESEARCH 2024; 242:117719. [PMID: 37993052 DOI: 10.1016/j.envres.2023.117719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 11/10/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder with few risk factors identified and no known cure. Gene-environment interaction is hypothesized especially for sporadic ALS cases (90-95%) which are of unknown etiology. We aimed to investigate risk factors for ALS including exposure to ambient air toxics. METHODS This population-based case-control study included 267 ALS cases (from the United States [U.S.] Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry National ALS Registry and Biorepository) and 267 age, sex, and county-matched controls identified via a commercial database. Exposure assessment for 34 ambient air toxicants was performed by assigning census tract-level U.S. Environmental Protection Agency (EPA) 2011 National Air Toxics Assessment (NATA) data to participants' residential ZIP codes. Conditional logistic regression was used to compute adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for individual compounds, chemical classes, and overall exposure. Sensitivity analyses using both conditional logistic regression and Bayesian grouped weighted quartile sum (GWQS) models were performed to assess the integrity of findings. RESULTS Using the 2011 NATA, the highest exposure quartile (Q4) compared to the lowest (Q1) of vinyl chloride (aOR = 6.00, 95% CI: 1.87-19.25), 2,4-dinitrotoluene (aOR = 5.45, 95% CI: 1.53-19.36), cyanide (aOR = 4.34, 95% CI: 1.52-12.43), cadmium (aOR = 3.30, 95% CI: 1.11-9.77), and carbon disulfide (aOR = 2.98, 95% CI: 1.00-8.91) was associated with increased odds of ALS. Residential air selenium showed an inverse association with ALS (second quartile [Q2] vs. Q1: aOR = 0.38, 95% CI: 0.18-0.79). Additionally, residential exposure to organic/chlorinated solvents (Q4 vs Q1: aOR = 2.62, 95% CI: 1.003-6.85) was associated with ALS. CONCLUSIONS Our findings using the 2011 NATA linked by census tract to residential area provide evidence of increased ALS risk in cases compared to controls for 2,4-dinitrotoluene, vinyl chloride, cyanide, and the organic/chlorinated solvents class. This underscores the importance of ongoing surveillance of potential exposures for at-risk populations.
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Affiliation(s)
- Fan Wu
- Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
| | - Angela M Malek
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - Jeanine M Buchanich
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Vincent C Arena
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Judith R Rager
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ravi K Sharma
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - John E Vena
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - Todd Bear
- Department of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Evelyn O Talbott
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
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9
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Martinelli I, Zucchi E, Simonini C, Gianferrari G, Bedin R, Biral C, Ghezzi A, Fini N, Carra S, Mandrioli J. SerpinA1 levels in amyotrophic lateral sclerosis patients: An exploratory study. Eur J Neurol 2024; 31:e16054. [PMID: 37679868 DOI: 10.1111/ene.16054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/31/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND SerpinA1, a serine protease inhibitor, is involved in the modulation of microglial-mediated inflammation in neurodegenerative diseases. We explored SerpinA1 levels in cerebrospinal fluid (CSF) and serum of amyotrophic lateral sclerosis (ALS) patients to understand its potential role in the pathogenesis of the disease. METHODS SerpinA1, neurofilament light (NfL) and heavy (NfH) chain, and chitinase-3-like protein-1 (CHI3L1) were determined in CSF and serum of ALS patients (n = 110) and healthy controls (n = 10) (automated next-generation ELISA), and correlated with clinical parameters, after identifying three classes of progressors (fast, intermediate, slow). Biomarker levels were analyzed for diagnostic power and association with progression and survival. RESULTS SerpinA1serum was significantly decreased in ALS (median: 1032 μg/mL) compared with controls (1343 μg/mL) (p = 0.02). SerpinA1CSF was elevated only in fast progressors (8.6 μg/mL) compared with slow (4.43 μg/mL, p = 0.01) and intermediate (4.42 μg/mL, p = 0.03) progressors. Moreover, SerpinA1CSF correlated with neurofilament and CHI3L1 levels in CSF. Contrarily to SerpinA1CSF , neurofilament and CHI3L1 concentrations in CSF correlated with measures of disease progression in ALS, while SerpinA1serum mildly related with time to generalization (rho = 0.20, p = 0.04). In multivariate analysis, the ratio between serum and CSF SerpinA1 (SerpinA1 ratio) and NfHCSF were independently associated with survival. CONCLUSIONS Higher SerpinA1CSF levels are found in fast progressors, suggesting SerpinA1 is a component of the neuroinflammatory mechanisms acting upon fast-progressing forms of ALS. Both neurofilaments or CHI3L1CSF levels outperformed SerpinA1 at predicting disease progression rate in our cohort, and so the prognostic value of SerpinA1 alone as a measure remains inconclusive.
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Affiliation(s)
- Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Elisabetta Zucchi
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Cecilia Simonini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Giulia Gianferrari
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Roberta Bedin
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Centre for Neuroscience and Nanotechnology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Chiara Biral
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea Ghezzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Nicola Fini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Serena Carra
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Centre for Neuroscience and Nanotechnology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Centre for Neuroscience and Nanotechnology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
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10
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Benatar M, Al-Chalabi A, Crawley A, Wuu J. Reply: A new diagnostic entity must enable earlier treatment in gene carriers. Brain 2023; 146:e80-e82. [PMID: 37186590 PMCID: PMC11004921 DOI: 10.1093/brain/awad165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/03/2023] [Accepted: 05/05/2023] [Indexed: 05/17/2023] Open
Affiliation(s)
- Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King’s College London, London, SE5 9RX, UK
| | | | - Joanne Wuu
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
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11
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Swidler J, Olson T, Edelstein AL, Granning J, Haddad C, Uhrlaub M, Wicks P. A new diagnostic entity must enable earlier treatment in gene carriers. Brain 2023; 146:e77-e79. [PMID: 37202873 DOI: 10.1093/brain/awad164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 04/23/2023] [Indexed: 05/20/2023] Open
Affiliation(s)
- Jean Swidler
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
| | - Tucker Olson
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
| | - Amy L Edelstein
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
| | - Julie Granning
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
| | | | - Mindy Uhrlaub
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
| | - Paul Wicks
- Genetic ALS & FTD: End the Legacy, Philadelphia, PA 19107, USA
- Wicks Digital Health, Lichfield, WS13 6AQ, UK
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12
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Hsueh S, Chao C, Chen T, Chen Y, Hsueh H, Tsai L, Wu W, Hsieh S. Brain imaging signatures in amyotrophic lateral sclerosis: Correlation with peripheral motor degeneration. Ann Clin Transl Neurol 2023; 10:1456-1466. [PMID: 37340732 PMCID: PMC10424648 DOI: 10.1002/acn3.51835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
OBJECTIVE This study aimed to explore the clinical significance of brain imaging signatures in the context of clinical neurological deficits in association with upper and lower motor neuron degeneration in amyotrophic lateral sclerosis (ALS). METHODS We performed brain MRI examinations to quantitatively evaluate (1) gray matter volume and (2) white matter tract fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). Image-derived indices were correlated with (1) global neurological deficits of MRC muscle strength sum score, revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R), and forced vital capacity (FVC), and (2) focal scores of University of Pennsylvania Upper motor neuron score (Penn score) and the summation of compound muscle action potential Z scores (CMAP Z sum score). RESULTS There were 39 ALS patients and 32 control subjects matched for age and gender. Compared to controls, ALS patients had a lower gray matter volume in the precentral gyrus of the primary motor cortex, which was correlated with FA of corticofugal tracts. The gray matter volume of the precentral gyrus was correlated with FVC, MRC sum score, and CMAP Z sum score, while the FA of the corticospinal tract was linearly associated with CMAP Z sum score and Penn score on multivariate linear regression model. INTERPRETATION This study indicated that clinical assessment of muscle strength and routine measurements on nerve conduction studies provided surrogate markers of brain structural changes for ALS. Furthermore, these findings suggested parallel involvement of both upper and lower motor neurons in ALS.
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Affiliation(s)
- Sung‐Ju Hsueh
- Department of NeurologyNational Taiwan University Hospital Yunlin BranchDouliu CityYunlin CountyTaiwan
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
| | - Chi‐Chao Chao
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
| | - Ta‐Fu Chen
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
| | - Ya‐Fang Chen
- Department of Medical ImagingNational Taiwan University HospitalTaipeiTaiwan
| | - Hsueh‐Wen Hsueh
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
- Department of Anatomy and Cell BiologyNational Taiwan University College of MedicineTaipeiTaiwan
| | - Li‐Kai Tsai
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
- Department of NeurologyNational Taiwan University Hospital Hsinchu BranchZhubei CityHsinchu CountyTaiwan
| | - Wen‐Chau Wu
- Department of Medical ImagingNational Taiwan University HospitalTaipeiTaiwan
- Graduate Institute of Medical Device and ImagingCollege of MedicineNational Taiwan University HospitalTaipeiTaiwan
| | - Sung‐Tsang Hsieh
- Department of NeurologyNational Taiwan University HospitalTaipeiTaiwan
- Department of Anatomy and Cell BiologyNational Taiwan University College of MedicineTaipeiTaiwan
- Graduate Institute of Clinical MedicineNational Taiwan University College of MedicineTaipeiTaiwan
- Center of Precision MedicineNational Taiwan University College of MedicineTaipeiTaiwan
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13
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Pears E, Stokes L, McNeill A. ENROLL-HD for MND? Eur J Hum Genet 2023; 31:493-494. [PMID: 36747005 PMCID: PMC10172397 DOI: 10.1038/s41431-023-01309-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/19/2023] [Accepted: 01/25/2023] [Indexed: 02/08/2023] Open
Affiliation(s)
- Eva Pears
- Department of Neuroscience, the University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK
| | - Louis Stokes
- Department of Neuroscience, the University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK
| | - Alisdair McNeill
- Department of Neuroscience, the University of Sheffield, 385a Glossop Road, Sheffield, S10 2HQ, UK.
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14
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Ruffo P, Catalano S, La Bella V, Conforti FL. Deregulation of Plasma microRNA Expression in a TARDBP-ALS Family. Biomolecules 2023; 13:biom13040706. [PMID: 37189452 DOI: 10.3390/biom13040706] [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: 03/14/2023] [Revised: 04/06/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
TDP-43 intracellular aggregates are a pathogenic sign of most amyotrophic lateral sclerosis (ALS) cases. Familial ALS, brought on by TARDBP gene mutations, emphasizes the relevance of this altered protein in pathophysiology. Growing evidence suggests a role for dysregulated microRNA (miRNA) in ALS disease. Furthermore, several studies showed that miRNAs are highly stable in various biological fluids (CSF, blood, plasma, and serum), and they are expressed differentially by comparing ALS patients and controls. In 2011, our research group discovered a rare mutation in a TARDBP gene (G376D) in a large ALS Apulian family with affected members exhibiting a rapidly progressing disease. To identify potential non-invasive biomarkers of preclinical and clinical progression in the TARDBP-ALS family, we assessed the expression levels of plasma microRNAs in affected patients (n = 7) and asymptomatic mutation carriers (n = 7) compared with healthy controls (n = 13). Applying qPCR, we investigate 10 miRNAs that bind TDP-43 in vitro during their biogenesis or in their mature form, and the other nine are known to be deregulated in the disease. We highlight the potential of miR-132-5p, miR-132-3p, miR-124-3p, and miR-133a-3p expression levels in plasma as biomarkers of preclinical progression for G376D-TARDBP-associated ALS. Our research strongly supports the potential of plasma miRNAs as biomarkers for performing predictive diagnostics and identifying new therapeutic targets.
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Affiliation(s)
- Paola Ruffo
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stefania Catalano
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
| | - Vincenzo La Bella
- ALS Clinical Research Centre and Laboratory of Neurochemistry, Department of Experimental Biomedicine and Clinical Neurosciences, University of Palermo, 90133 Palermo, Italy
| | - Francesca Luisa Conforti
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
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15
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Vidovic M, Müschen LH, Brakemeier S, Machetanz G, Naumann M, Castro-Gomez S. Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis. Cells 2023; 12:cells12050736. [PMID: 36899872 PMCID: PMC10000757 DOI: 10.3390/cells12050736] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of upper and lower motor neurons, resulting in progressive weakness of all voluntary muscles and eventual respiratory failure. Non-motor symptoms, such as cognitive and behavioral changes, frequently occur over the course of the disease. Considering its poor prognosis with a median survival time of 2 to 4 years and limited causal treatment options, an early diagnosis of ALS plays an essential role. In the past, diagnosis has primarily been determined by clinical findings supported by electrophysiological and laboratory measurements. To increase diagnostic accuracy, reduce diagnostic delay, optimize stratification in clinical trials and provide quantitative monitoring of disease progression and treatment responsivity, research on disease-specific and feasible fluid biomarkers, such as neurofilaments, has been intensely pursued. Advances in imaging techniques have additionally yielded diagnostic benefits. Growing perception and greater availability of genetic testing facilitate early identification of pathogenic ALS-related gene mutations, predictive testing and access to novel therapeutic agents in clinical trials addressing disease-modified therapies before the advent of the first clinical symptoms. Lately, personalized survival prediction models have been proposed to offer a more detailed disclosure of the prognosis for the patient. In this review, the established procedures and future directions in the diagnostics of ALS are summarized to serve as a practical guideline and to improve the diagnostic pathway of this burdensome disease.
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Affiliation(s)
- Maximilian Vidovic
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
- Correspondence: (M.V.); (S.C.-G.)
| | | | - Svenja Brakemeier
- Department of Neurology and Center for Translational Neuro and Behavioral Sciences (C-TNBS), University Hospital Essen, 45147 Essen, Germany
| | - Gerrit Machetanz
- Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Marcel Naumann
- Translational Neurodegeneration Section “Albrecht Kossel”, Department of Neurology, University Medical Center, University of Rostock, 18147 Rostock, Germany
| | - Sergio Castro-Gomez
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University Hospital Bonn, 53127 Bonn, Germany
- Institute of Physiology II, University Hospital Bonn, 53115 Bonn, Germany
- Department of Neuroimmunology, Institute of Innate Immunity, University Hospital Bonn, 53127 Bonn, Germany
- Correspondence: (M.V.); (S.C.-G.)
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16
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Benatar M, Goutman SA, Staats KA, Feldman EL, Weisskopf M, Talbott E, Dave KD, Thakur NM, Al-Chalabi A. A roadmap to ALS prevention: strategies and priorities. J Neurol Neurosurg Psychiatry 2023; 94:399-402. [PMID: 36690429 PMCID: PMC10176353 DOI: 10.1136/jnnp-2022-330473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/08/2023] [Indexed: 01/25/2023]
Affiliation(s)
- Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Kim A Staats
- Staats Life Sciences Consulting, Los Angeles, California, USA
| | - Eva L Feldman
- Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Marc Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Evelyn Talbott
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Kuldip D Dave
- ALS Association, Washington, District of Columbia, USA
| | - Neil M Thakur
- ALS Association, Washington, District of Columbia, USA
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
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17
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Corcia P, Hergesheimer R, Couratier P. The future of ALS comes from its past. Rev Neurol (Paris) 2022; 178:754-755. [PMID: 36116983 DOI: 10.1016/j.neurol.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Affiliation(s)
- P Corcia
- Centre SLA, CHU Bretonneau, 2, boulevard Tonnelle, 37044 Tours Cedex 1, France; UMR 1253 iBrain neurogénomique et physiopathologie neuronale, université de Tours, Inserm, Tours, France.
| | - R Hergesheimer
- UMR 1253 iBrain neurogénomique et physiopathologie neuronale, université de Tours, Inserm, Tours, France
| | - P Couratier
- Centre SLA, CHU de Limoges, 2, avenue Martin Luther King, 87000 Limoges, France
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18
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Monitoring disease onset in amyotrophic lateral sclerosis. Nat Rev Neurol 2022; 18:513-514. [PMID: 35821306 DOI: 10.1038/s41582-022-00696-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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