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Rooney J, Murray D, Meldrum D, Al-Chalabi A, Bunte T, Chiwera T, Choudhury M, Chio A, Fenton L, Fortune J, Maidment L, Manera U, McDermott CJ, Meyjes M, Tattersall R, Torrieri MC, Van Damme P, Vanderlinden E, Wood C, van den Berg LH, Hardiman O. REVEALS-a longitudinal cohort study of multifaceted respiratory assessment in ALS. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:661-671. [PMID: 38845371 PMCID: PMC11523912 DOI: 10.1080/21678421.2024.2359556] [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: 01/04/2024] [Revised: 04/01/2024] [Accepted: 05/20/2024] [Indexed: 10/23/2024]
Abstract
OBJECTIVE To systematically assess decline in respiratory measures in amyotrophic lateral sclerosis (ALS) and to examine the impact of sex, disease onset type and baseline morbidity on progression. METHODS The REVEALS study (Registry of Endpoints and Validated Experiences in ALS) was conducted between April 2018 and February 2021 in six European ALS centers. Slow and forced vital capacity (S/FVC), sniff nasal inspiratory pressure (SNIP), peak cough flow, amyotrophic lateral sclerosis functional rating scale-revised (ALSFRS-R), and respiratory morbidity were collected. Data were analyzed using a Bayesian multiple outcomes random effects model. RESULTS Two hundred and eighty participants had a median of three assessments (IQR 2.0, 5.0) over a median of 8 months (IQR 2.3, 14.1). There were 974 data collection timepoints. Differences in respiratory measures and rates of decline between disease-onset and sex subgroups were identified. Females had lower scores in all respiratory measures and females with bulbar onset ALS had faster decline compared with other sub-groups. These differences were not detected by the ALSFRS-r respiratory subscale. Dyspnea, orthopnea, and a higher King's stage at baseline were associated with lower respiratory scores throughout follow-up, while having a regular productive cough at baseline was associated with lower peak cough flow scores. CONCLUSION Respiratory function declines more quickly in females with ALS compared with males when measured by FVC, SVC, SNIP, or PCF, but not the ALSFRS-R respiratory sub-score. Higher baseline King's staging and the presence of clinical respiratory symptoms at baseline were associated with worse respiratory function. The ALSFRS-R respiratory sub-score is poorly correlated with objective respiratory measurements.
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Affiliation(s)
- James Rooney
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Deirdre Murray
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
- Beaumont Hospital, Dublin, Ireland
| | - Dara Meldrum
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King’s College Hospital, London, UK
| | | | - Theresa Chiwera
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King’s College Hospital, London, UK
| | - Mutahhara Choudhury
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King’s College Hospital, London, UK
| | - Adriano Chio
- ALS Center, ‘Rita Levi Montalcini’ Department of Neuroscience, University of Turin, Turin, Italy
- Neurology 1, Azienda Ospedale Università Città della Salute e della Scienza, Turin, Italy
| | - Lauren Fenton
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Jennifer Fortune
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
| | - Lindsay Maidment
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Umberto Manera
- ALS Center, ‘Rita Levi Montalcini’ Department of Neuroscience, University of Turin, Turin, Italy
- Neurology 1, Azienda Ospedale Università Città della Salute e della Scienza, Turin, Italy
| | - Christopher J. McDermott
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | | | - Rachel Tattersall
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
- Beaumont Hospital, Dublin, Ireland
| | - Maria Claudia Torrieri
- ALS Center, ‘Rita Levi Montalcini’ Department of Neuroscience, University of Turin, Turin, Italy
| | - Philip Van Damme
- Neurology Department, KU Leuven, University Hospitals Leuven, Leuven, Belgium, and
- Department of Neuroscience, KU Leuven, Leuven Brain Institute and VIB Center for Brain & Disease Research, Leuven, Belgium
| | - Elien Vanderlinden
- Neurology Department, KU Leuven, University Hospitals Leuven, Leuven, Belgium, and
| | - Claire Wood
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King’s College Hospital, London, UK
| | | | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
- Beaumont Hospital, Dublin, Ireland
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Van Loon FT, Seitidis G, Mavridis D, van Unnik JWJ, Weemering DN, van den Berg LH, Bethani I, Nikolakopoulos S, van Eijk RPA. Living systematic review and comprehensive network meta-analysis of ALS clinical trials: study protocol. BMJ Open 2024; 14:e087970. [PMID: 39486809 PMCID: PMC11529510 DOI: 10.1136/bmjopen-2024-087970] [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: 04/26/2024] [Accepted: 09/20/2024] [Indexed: 11/04/2024] Open
Abstract
INTRODUCTION Amyotrophic lateral sclerosis (ALS) is a fatal neurogenerative disease with no effective treatment to date. Despite numerous clinical trials, the majority of studies have been futile in their effort to significantly alter the course of the disease. However, these studies may still provide valuable information for identifying patient subgroups and generating new hypotheses for future research. Additionally, synthesising evidence from these studies may help overcome the limitations of individual studies. Network meta-analysis may refine the assessment of efficacy in specific patient subgroups, evaluate intervention characteristics such as mode of administration or biological mechanisms of action, and rank order promising therapeutic areas of interest. Therefore, we aim to synthesise the available evidence from ALS clinical trials. METHODS AND ANALYSIS We will conduct a systematic review to identify all clinical trials that assessed disease-modifying pharmaceutical therapies, cell therapies, or supplements in patients with ALS. Outcomes of interest are clinical disease progression outcomes and survival. We will conduct this search in the period Q4 2024 in three databases: PubMed, Embase and ClinicalTrials.gov for studies from 1999 to 2023. Individual patient data and aggregate data will be collected and subsequentially synthesised in meta-analytical models. The final model will be presented as an open-source web application with biannual updates of the underlying data, thereby providing a 'living' overview of the ALS clinical trial landscape. ETHICS AND DISSEMINATION No ethics approvals are required. Findings will be presented at relevant conferences and submitted to peer-reviewed journals. Data will be stored anonymously in secure repositories.
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Affiliation(s)
- Floris T Van Loon
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Dimitris Mavridis
- Department of Primary Education, University of Ioannina, Ioannina, Greece
| | - Jordi W J van Unnik
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Daphne N Weemering
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Ilianna Bethani
- School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavros Nikolakopoulos
- Department of Psychology, University of Ioannina, Ioannina, Greece
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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3
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Silva ST, Costa IM, Souza AA, Pondofe K, Melo LP, Resqueti VR, Valentim R, Gonçalves F, Ribeiro TS. Physical therapy for the management of global function, fatigue and quality of life in amyotrophic lateral sclerosis: systematic review and meta-analyses. BMJ Open 2024; 14:e076541. [PMID: 39182937 PMCID: PMC11404137 DOI: 10.1136/bmjopen-2023-076541] [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] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVES To critically evaluate the effectiveness of physical therapy interventions in improving global function, quality of life and fatigue in individuals with amyotrophic lateral sclerosis (ALS). DESIGN Systematic review and meta-analyses. DATA SOURCES MEDLINE, EMBASE, Cochrane Library (CENTRAL) and Physiotherapy Evidence Database (PEDro) were searched through 31 January 2023. ELIGIBILITY CRITERIA We included randomised clinical trials (RCTs) that compared physical therapy interventions that act on global function, fatigue and quality of life in individuals with ALS with any other non-physiotherapeutic methods and techniques, placebo or non-intervention. The primary outcome measure was the evaluation of global function. Secondary outcomes were quality of life, fatigue and adverse events. DATA EXTRACTION AND SYNTHESIS Two independent authors used a researcher-developed extraction form and the Rayyan software to search, screen and code included studies. The risk of bias was assessed using the PEDro scale. Meta-analyses were conducted employing random effects. Outcomes were succinctly presented in Grading of Recommendations, Assessment, Development and Evaluation evidence profiles. RESULTS Our searches identified 39 415 references. After study selection, three studies were included in the review. Such studies involved 62 participants with a mean age of 54.6 years. In the evaluated trials, 40 were male, while 22 participants were female. Regarding the type of onset of the disease, 58 participants had spinal onset of ALS, and four had bulbar. CONCLUSIONS Physical therapy intervention may improve the global function of individuals with ALS in the short term; however, clinically, it was inconclusive. In terms of quality of life and fatigue, physical therapy intervention is not more effective than control in the short term. Adverse events are not increased by physical therapy intervention in the short term. Due to significant methodological flaws, small sample sizes, wide CIs and clinical interpretation, our confidence in the effect estimate is limited. PROSPERO REGISTRATION NUMBER CRD42021251350.
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Affiliation(s)
- Stephano Tomaz Silva
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Isabela Macedo Costa
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Aline Alves Souza
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Karen Pondofe
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Luciana Protásio Melo
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Vanessa R Resqueti
- Fisioterapia, Laboratório de Inovação Tecnológica em Reabilitação e PneumoCardioVascular Lab/HUOL, Hospital Universitário Onofre Lopes, Empresa Brasileira de Serviços Hospitalares (EBSERH), Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Ricardo Valentim
- Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Filipe Gonçalves
- Portuguese Association of Amyotrophic Lateral Sclerosis, Faculty of Health Sciences, University of A Coruna, A Coruna, Spain
| | - Tatiana Souza Ribeiro
- Department of Physical Therapy and Laboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil
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Bowser R, An J, Mehta L, Chen J, Timmons J, Cudkowicz M, Paganoni S. Effect of sodium phenylbutyrate and taurursodiol on plasma concentrations of neuroinflammatory biomarkers in amyotrophic lateral sclerosis: results from the CENTAUR trial. J Neurol Neurosurg Psychiatry 2024; 95:605-608. [PMID: 38050066 PMCID: PMC11187356 DOI: 10.1136/jnnp-2023-332106] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/25/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND An oral sodium phenylbutyrate and taurursodiol combination (PB and TURSO) significantly reduced functional decline in people living with amyotrophic lateral sclerosis (ALS) in the CENTAUR trial. Biomarkers linking clinical therapeutic effect with biological changes are of high interest in ALS. We performed analyses of neuroinflammatory biomarkers associated with ALS in the literature, including YKL-40 (also known as chitinase-3-like protein 1), chitinase 1 (CHIT1) and C reactive protein (CRP), in plasma samples collected in CENTAUR. METHODS Log10-transformed plasma biomarker measurements were analysed using a linear mixed-effects model. Correlation between paired biomarker concentrations and ALS Functional Rating Scale-Revised (ALSFRS-R) total scores was assessed via Pearson correlation coefficients. RESULTS By week 24, geometric least squares mean YKL-40 plasma concentration decreased by approximately 20% (p=0.008) and CRP by 30% (p=0.048) in the PB and TURSO versus placebo group. YKL-40 (r of -0.21; p<0.0001) and CRP (r of -0.19; p=0.0002) concentration correlated with ALSFRS-R total score. CHIT1 levels were not significantly different between groups. CONCLUSIONS YKL-40 and CRP plasma levels were significantly reduced in participants with ALS receiving PB and TURSO in CENTAUR and correlated with disease progression. These findings suggest YKL-40 and CRP could be treatment-sensitive biomarkers in ALS, pending further confirmatory studies. TRIAL REGISTRATION NUMBER https://clinicaltrials.gov/study/NCT03127514.
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Affiliation(s)
- Robert Bowser
- Departments of Neurology and Translational Neuroscience, Barrow Neurological Institute, Phoenix, Arizona, USA
- nVector, Inc, Phoenix, Arizona, USA
| | - Jiyan An
- Departments of Neurology and Translational Neuroscience, Barrow Neurological Institute, Phoenix, Arizona, USA
- nVector, Inc, Phoenix, Arizona, USA
| | - Lahar Mehta
- Amylyx Pharmaceuticals, Inc, Cambridge, Massachusetts, USA
| | - Junliang Chen
- Amylyx Pharmaceuticals, Inc, Cambridge, Massachusetts, USA
| | - Jamie Timmons
- Amylyx Pharmaceuticals, Inc, Cambridge, Massachusetts, USA
| | - Merit Cudkowicz
- Sean M. Healey and AMG Center for ALS & the Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sabrina Paganoni
- Sean M. Healey and AMG Center for ALS & the Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts, USA
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5
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Beswick E, Forbes D, Johnson M, Newton J, Dakin R, Glasmcher S, Abrahams S, Carson A, Chandran S, Pal S. Non-motor symptoms in motor neuron disease: prevalence, assessment and impact. Brain Commun 2023; 6:fcad336. [PMID: 38162906 PMCID: PMC10754319 DOI: 10.1093/braincomms/fcad336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/27/2023] [Accepted: 12/05/2023] [Indexed: 01/03/2024] Open
Abstract
People with motor neuron disease often experience non-motor symptoms that may occur secondary to, or distinct from, motor degeneration and that may significantly reduce quality of life, despite being under-recognized and evaluated in clinical practice. Non-motor symptoms explored in this population-based study include pain, fatigue, gastrointestinal issues, poor sleep, low mood, anxiety, problematic saliva, apathy, emotional lability, cognitive complaints and sexual dysfunction. People registered on the Clinical Audit Research and Evaluation of motor neuron disease platform, the Scottish Motor Neuron Disease Register, were invited to complete a questionnaire on non-motor symptoms and a self-reported Amyotrophic Lateral Sclerosis Functional Rating Scale. The questionnaire comprised a pre-defined list of 11 potential non-motor symptoms, with the opportunity to list additional symptoms. A total of 120 individuals participated in this cross-sectional study, a 39% response rate of those sent questionnaires (n = 311); 99% of participants recruited (n = 120) experienced at least one non-motor symptom, with 72% (n = 120) reporting five or more. The symptoms most often reported were pain and fatigue (reported by 76% of participants, respectively). The symptoms reported to be most impactful were gastrointestinal issues (reported as 'severe' by 54% of participants who experienced them), followed by pain and problematic saliva (51%, respectively). Lower Amyotrophic Lateral Sclerosis Functional Rating Scale scores, indicating more advanced disease and being a long survivor [diagnosed over 8 years ago; Black et al. (Genetic epidemiology of motor neuron disease-associated variants in the Scottish population. Neurobiol Aging. 2017;51:178.e11-178.e20.)], were significantly associated with reporting more symptoms; 73% of respondents were satisfied with the frequency that non-motor symptoms were discussed in clinical care; 80% of participants indicated they believe evaluation of non-motor symptom is important to include as outcomes in trials, independent of their personal experience of these symptoms. The preferred method of assessment was completing questionnaires, at home. The overwhelming majority of people with motor neuron disease report non-motor symptoms and these frequently co-occur. Pain, fatigue, gastrointestinal issues, sleep, mood, anxiety, problematic saliva, apathy, emotional lability, cognitive complaints and sexual dysfunction are prevalent. People with motor neuron disease who had worse physical function and those who were long survivors were more likely to report more symptoms. Where reported, these symptoms are frequent, impactful and a priority for people with motor neuron disease in clinical care and trial design.
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Affiliation(s)
- Emily Beswick
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Deborah Forbes
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Micheala Johnson
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Judith Newton
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Rachel Dakin
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Stella Glasmcher
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
| | - Sharon Abrahams
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
- Human Cognitive Neurosciences, Psychology, School of Philosophy, Psychology and Language Sciences, the University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, the University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, the University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, the University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, the University of Edinburgh, Edinburgh, UK
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Khamaysa M, Lefort M, Pélégrini-Issac M, Lackmy-Vallée A, Preuilh A, Devos D, Rolland AS, Desnuelle C, Chupin M, Marchand-Pauvert V, Querin G, Pradat PF. Comparison of spinal magnetic resonance imaging and classical clinical factors in predicting motor capacity in amyotrophic lateral sclerosis. J Neurol 2023:10.1007/s00415-023-11727-w. [PMID: 37103756 DOI: 10.1007/s00415-023-11727-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND Motor capacity is crucial in amyotrophic lateral sclerosis (ALS) clinical trial design and patient care. However, few studies have explored the potential of multimodal MRI to predict motor capacity in ALS. This study aims to evaluate the predictive value of cervical spinal cord MRI parameters for motor capacity in ALS compared to clinical prognostic factors. METHODS Spinal multimodal MRI was performed shortly after diagnosis in 41 ALS patients and 12 healthy participants as part of a prospective multicenter cohort study, the PULSE study (NCT00002013-A00969-36). Motor capacity was assessed using ALSFRS-R scores. Multiple stepwise linear regression models were constructed to predict motor capacity at 3 and 6 months from diagnosis, based on clinical variables, structural MRI measurements, including spinal cord cross-sectional area (CSA), anterior-posterior, and left-to-right cross-section diameters at vertebral levels from C1 to T4, and diffusion parameters in the lateral corticospinal tracts (LCSTs) and dorsal columns. RESULTS Structural MRI measurements were significantly correlated with the ALSFRS-R score and its sub-scores. And as early as 3 months from diagnosis, structural MRI measurements fit the best multiple linear regression model to predict the total ALSFRS-R (R2 = 0.70, p value = 0.0001) and arm sub-score (R2 = 0.69, p value = 0.0002), and combined with DTI metric in the LCST and clinical factors fit the best multiple linear regression model to predict leg sub-score (R2 = 0.73, p value = 0.0002). CONCLUSIONS Spinal multimodal MRI could be promising as a tool to enhance prognostic accuracy and serve as a motor function proxy in ALS.
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Affiliation(s)
- M Khamaysa
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - M Lefort
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - M Pélégrini-Issac
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - A Lackmy-Vallée
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - A Preuilh
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - D Devos
- Département de Neurology, Centre Référent SLA, CHU de Lille, Centre LICEND COEN, Lille, France
- Départment de Pharmacologie Médicale, Université de Lille, INSERM UMRS_1172 LilNCog, CHU de Lille, Centre LICEND COEN, Lille, France
| | - A-S Rolland
- Départment de Pharmacologie Médicale, Université de Lille, INSERM UMRS_1172 LilNCog, CHU de Lille, Centre LICEND COEN, Lille, France
| | - C Desnuelle
- Faculté Médecine de Nice, Département de Neurologie, Université Cote d'Azur, Nice, France
| | - M Chupin
- CATI Multicenter Neuroimaging Platform, Paris, France
| | - V Marchand-Pauvert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - G Querin
- APHP, Service de Neuromyologie, Hôpital Pitié-Salpêtrière, Centre Référent Maladies Neuromusculaires Rares, Paris, France
- Institut de Myologie, I-Motion Clinical Trials Platform, Hôpital Pitié-Salpêtrière, Paris, France
| | - Pierre-François Pradat
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Centre Référent SLA, Paris, France.
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Altnagelvin Hospital, Derry/Londonderry, UK.
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7
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Müller HP, Behler A, Münch M, Dorst J, Ludolph AC, Kassubek J. Sequential alterations in diffusion metrics as correlates of disease severity in amyotrophic lateral sclerosis. J Neurol 2023; 270:2308-2313. [PMID: 36763176 PMCID: PMC10025190 DOI: 10.1007/s00415-023-11582-9] [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: 11/24/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND AND OBJECTIVE The neuropathology of amyotrophic lateral sclerosis (ALS) follows a regional distribution pattern in the brain with four stages. Using diffusion tensor imaging (DTI), this pattern can be translated into a tract-based staging scheme to assess cerebral progression in vivo. This study investigates the association between the sequential alteration pattern and disease severity in patients with ALS. METHODS DTI data of 325 patients with ALS and 130 healthy controls were analyzed in a tract of interest (TOI)-based approach. Patients were categorized according to their ALS-FRS-R scores into groups with declining functionality. The fractional anisotropy (FA) values in the tracts associated with neuropathological stages were group-wise compared with healthy controls. RESULTS The FA in the tracts associated with ALS stages showed a decrease which could be related to the disease severity stratification, i.e., at the group level, the lower the ALS-FRS-R of the categorized patient group, the higher was the effect size of the stage-related tract. In the patient group with the highest ALS-FRS-R, Cohen's d showed a medium effect size in the corticospinal tract and small effect sizes in the other stage-related tracts. Overall, the lower the ALS-FRS-R of the categorized patient group the higher was the effect size of the comparison with healthy controls. CONCLUSION The progression of white matter alterations across tracts according to the model of sequential tract involvement is associated with clinical disease severity in patients with ALS, suggesting the use of staging-based DTI as a technical marker for disease progression.
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Affiliation(s)
- Hans-Peter Müller
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Anna Behler
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Maximilian Münch
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Johannes Dorst
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, University Hospital Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany.
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Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development. Int J Mol Sci 2023; 24:ijms24031911. [PMID: 36768231 PMCID: PMC9915541 DOI: 10.3390/ijms24031911] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alterations of diffusion metrics are indicative of the cerebral status of patients with amyotrophic lateral sclerosis (ALS) at the individual level. Using machine learning (ML) models to analyze complex and high-dimensional neuroimaging data sets, new opportunities for DTI-based biomarkers in ALS arise. This review aims to summarize how different ML models based on DTI parameters can be used for supervised diagnostic classifications and to provide individualized patient stratification with unsupervised approaches in ALS. To capture the whole spectrum of neuropathological signatures, DTI might be combined with additional modalities, such as structural T1w 3-D MRI in ML models. To further improve the power of ML in ALS and enable the application of deep learning models, standardized DTI protocols and multi-center collaborations are needed to validate multimodal DTI biomarkers. The application of ML models to multiparametric MRI/multimodal DTI-based data sets will enable a detailed assessment of neuropathological signatures in patients with ALS and the development of novel neuroimaging biomarkers that could be used in the clinical workup.
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Canosa A, Martino A, Manera U, Vasta R, Grassano M, Palumbo F, Cabras S, Di Pede F, Arena V, Moglia C, Giuliani A, Calvo A, Chiò A, Pagani M. Role of brain 2-[ 18F]fluoro-2-deoxy-D-glucose-positron-emission tomography as survival predictor in amyotrophic lateral sclerosis. Eur J Nucl Med Mol Imaging 2023; 50:784-791. [PMID: 36308536 PMCID: PMC9852209 DOI: 10.1007/s00259-022-05987-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/29/2022] [Indexed: 01/24/2023]
Abstract
PURPOSE The identification of prognostic tools in amyotrophic lateral sclerosis (ALS) would improve the design of clinical trials, the management of patients, and life planning. We aimed to evaluate the accuracy of brain 2-[18F]fluoro-2-deoxy-D-glucose-positron-emission tomography (2-[18F]FDG-PET) as an independent predictor of survival in ALS. METHODS A prospective cohort study enrolled 418 ALS patients, who underwent brain 2-[18F]FDG-PET at diagnosis and whose survival time was available. We discretized the survival time in a finite number of classes in a data-driven fashion by employing a k-means-like strategy. We identified "hot brain regions" with maximal power in discriminating survival classes, by evaluating the Laplacian scores in a class-aware fashion. We retained the top-m features for each class to train the classification systems (i.e., a support vector machine, SVM), using 10% of the ALS cohort as test set. RESULTS Data were discretized in three survival profiles: 0-2 years, 2-5 years, and > 5 years. SVM resulted in an error rate < 20% for two out of three classes separately. As for class one, the discriminant clusters included left caudate body and anterior cingulate cortex. The most discriminant regions were bilateral cerebellar pyramid in class two, and right cerebellar dentate nucleus, and left cerebellar nodule in class three. CONCLUSION Brain 2-[18F]FDG-PET along with artificial intelligence was able to predict with high accuracy the survival time range in our ALS cohort. Healthcare professionals can benefit from this prognostic tool for planning patients' management and follow-up. 2-[18F]FDG-PET represents a promising biomarker for individual patients' stratification in clinical trials. The lack of a multicentre external validation of the model warrants further studies to evaluate its generalization capability.
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Affiliation(s)
- Antonio Canosa
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy ,grid.432329.d0000 0004 1789 4477SC Neurologia 1U, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy ,grid.428479.40000 0001 2297 9633Institute of Cognitive Sciences and Technologies, C.N.R., Rome, Italy
| | - Alessio Martino
- grid.428479.40000 0001 2297 9633Institute of Cognitive Sciences and Technologies, C.N.R., Rome, Italy ,grid.18038.320000 0001 2180 8787Department of Business and Management, LUISS University, Viale Romania 32, 00197 Rome, Italy
| | - Umberto Manera
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy ,grid.432329.d0000 0004 1789 4477SC Neurologia 1U, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy
| | - Rosario Vasta
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Maurizio Grassano
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Francesca Palumbo
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Sara Cabras
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Francesca Di Pede
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Vincenzo Arena
- Positron Emission Tomography Centre AFFIDEA-IRMET S.p.A., Turin, Italy
| | - Cristina Moglia
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy ,grid.432329.d0000 0004 1789 4477SC Neurologia 1U, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy
| | - Alessandro Giuliani
- Environment and Health Department, Istituto Superiore di Sanità, Rome, Italy
| | - Andrea Calvo
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy ,grid.432329.d0000 0004 1789 4477SC Neurologia 1U, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy ,grid.7605.40000 0001 2336 6580Neuroscience Institute of Turin (NIT), Turin, Italy
| | - Adriano Chiò
- grid.7605.40000 0001 2336 6580ALS Centre, “Rita Levi Montalcini” Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy ,grid.432329.d0000 0004 1789 4477SC Neurologia 1U, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy ,grid.428479.40000 0001 2297 9633Institute of Cognitive Sciences and Technologies, C.N.R., Rome, Italy ,grid.7605.40000 0001 2336 6580Neuroscience Institute of Turin (NIT), Turin, Italy
| | - Marco Pagani
- grid.428479.40000 0001 2297 9633Institute of Cognitive Sciences and Technologies, C.N.R., Rome, Italy ,grid.24381.3c0000 0000 9241 5705Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
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De Schaepdryver M, Masrori P, Van Damme P, Poesen K. Effect of neurofilament analysis on the diagnostic delay in amyotrophic lateral sclerosis. CNS Neurosci Ther 2022; 29:70-77. [PMID: 36047371 PMCID: PMC9804063 DOI: 10.1111/cns.13960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 08/14/2022] [Accepted: 08/18/2022] [Indexed: 02/06/2023] Open
Abstract
AIMS The aim of this study was to investigate whether neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in cerebrospinal fluid (CSF), sampled prior to referral to a neuromuscular reference center (NMRC), shorten the diagnostic delay in patients with amyotrophic lateral sclerosis. METHODS In this retrospective study, patients with ALS were included with (i) determination of neurofilaments (Nfs) before referral to the NMRC (preC-Nfs ALS, n = 58), (ii) determination of Nfs at the NMRC (C-Nfs, n = 54) or (iii) with no determination of Nfs (C-No Nfs, n = 180). Fifty-six disease controls were included. RESULTS The preC-Nfs cohort had CSF sampled 2.2 months (range: 0.6-12.0 months) before referral to the NMRC. In this cohort, the diagnostic delay was significantly shorter [median (range): 8.24 (2.37-49.7) months] than in the C-Nfs cases [median (range): 11.4 (2.93-86.5) months; p < 0.05], but not in the C-No Nfs cases. When including the disease progression rate and the presence of a genetic mutation as covariates, the difference ceased to exist (p = 0.14). pNfH and NfL levels in the preC-Nfs cohort were significantly higher than in disease controls (p < 0.0001). Both Nfs showed a similar discriminating performance. CONCLUSIONS CSF Nfs assessed before the diagnosis of ALS at a NMRC decreased the diagnostic delay in specific cases by 3 months and only when other covariates were not taken into account.
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Affiliation(s)
- Maxim De Schaepdryver
- Laboratory for Molecular Neurobiomarker Research, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Pegah Masrori
- Laboratory of NeurobiologyCenter for Brain & Disease Research, VIBLeuvenBelgium,Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium,Experimental Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Philip Van Damme
- Laboratory of NeurobiologyCenter for Brain & Disease Research, VIBLeuvenBelgium,Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium,Experimental Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium,Laboratory MedicineUniversity Hospitals LeuvenLeuvenBelgium
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11
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Tornese P, Lalli S, Cocco A, Albanese A. Review of disease-modifying drug trials in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2022; 93:521-529. [PMID: 35228271 DOI: 10.1136/jnnp-2021-328470] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/26/2022] [Indexed: 01/22/2023]
Abstract
We analysed clinical trials of pharmacological interventions on patients with amyotrophic lateral sclerosis (ALS), and compared study quality and design features. The systematic review included articles published in PubMed and trials registered in ClinicalTrials.gov. Included studies were randomised double-blind placebo-controlled clinical trials assessing a disease-modifying pharmacological intervention. Studies were excluded if primary end points were safety or dose finding. A total of 28 735 articles and 721 current trials were identified. 76 published articles and 23 ongoing trials met inclusion criteria; they referred to distinct populations comprising 22 817 participants with ALS. Most articles and all current trials had parallel group design; few articles had cross-over design. A run-in observation period was included in about 20% of published studies and ongoing trials. Primary end points included functional assessment, survival, muscle strength, respiratory function, biomarkers and composite measures. Most recent trials had only functional assessment and survival. Risk of bias was high in 23 articles, moderate in 35, low in 18. A disease modification effect was observed for 10 interventions in phase II studies, two of which were confirmed in phase III. Three confirmatory phase III studies are currently underway. The present review provides cues for the design of future trials. Functional decline and survival, as single or composite measures, stand as the reference end points. Post hoc analyses should not be performed, particularly in studies using composite end points. There is a general agreement on diagnostic criteria; but eligibility criteria must be improved. Run-in observations may be used for censoring patients but are discouraged for refining participants' eligibility. The ALS Functional Rating Scale-Revised needs improvement for use as an ordinal measure of functional decline.
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Affiliation(s)
- Paolo Tornese
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Stefania Lalli
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Antoniangela Cocco
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Alberto Albanese
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy .,Department of Neuroscience, Catholic University, Milan, Italy
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12
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Kliest T, Van Eijk RPA, Al-Chalabi A, Albanese A, Andersen PM, Amador MDM, BrÅthen G, Brunaud-Danel V, Brylev L, Camu W, De Carvalho M, Cereda C, Cetin H, Chaverri D, Chiò A, Corcia P, Couratier P, De Marchi F, Desnuelle C, Van Es MA, Esteban J, Filosto M, GarcÍa Redondo A, Grosskreutz J, Hanemann CO, HolmØy T, HØyer H, Ingre C, Koritnik B, Kuzma-Kozakiewicz M, Lambert T, Leigh PN, Lunetta C, Mandrioli J, Mcdermott CJ, Meyer T, Mora JS, Petri S, Povedano MÓ, Reviers E, Riva N, Roes KCB, Rubio MÁ, Salachas F, Sarafov S, SorarÙ G, Stevic Z, Svenstrup K, MØller AT, Turner MR, Van Damme P, Van Leeuwen LAG, Varona L, VÁzquez Costa JF, Weber M, Hardiman O, Van Den Berg LH. Clinical trials in pediatric ALS: a TRICALS feasibility study. Amyotroph Lateral Scler Frontotemporal Degener 2022; 23:481-488. [PMID: 35172656 PMCID: PMC9662181 DOI: 10.1080/21678421.2021.2024856] [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] [Indexed: 11/23/2022]
Abstract
Background: Pediatric investigation plans (PIPs) describe how adult drugs can be studied in children. In 2015, PIPs for Amyotrophic Lateral Sclerosis (ALS) became mandatory for European marketing-authorization of adult treatments, unless a waiver is granted by the European Medicines Agency (EMA). Objective: To assess the feasibility of clinical studies on the effect of therapy in children (<18 years) with ALS in Europe. Methods: The EMA database was searched for submitted PIPs in ALS. A questionnaire was sent to 58 European ALS centers to collect the prevalence of pediatric ALS during the past ten years, the recruitment potential for future pediatric trials, and opinions of ALS experts concerning a waiver for ALS. Results: Four PIPs were identified; two were waived and two are planned for the future. In total, 49 (84.5%) centers responded to the questionnaire. The diagnosis of 44,858 patients with ALS was reported by 46 sites; 39 of the patients had an onset < 18 years (prevalence of 0.008 cases per 100,000 or 0.087% of all diagnosed patients). The estimated recruitment potential (47 sites) was 26 pediatric patients within five years. A majority of ALS experts (75.5%) recommend a waiver should apply for ALS due to the low prevalence of pediatric ALS. Conclusions: ALS with an onset before 18 years is extremely rare and may be a distinct entity from adult ALS. Conducting studies on the effect of disease-modifying therapy in pediatric ALS may involve lengthy recruitment periods, high costs, ethical/legal implications, challenges in trial design and limited information.
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Affiliation(s)
- Tessa Kliest
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ruben P A Van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK.,Department of Neurology, King's College Hospital, London, UK
| | | | - Peter M Andersen
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Maria Del Mar Amador
- Département de Neurologie, Centre de référence SLA Ile de France.,Hôpital de la Pitié Salpêtrière, AP-HP, Paris, France
| | - Geir BrÅthen
- Department of Neurology, University Hospital of Trondheim, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Lev Brylev
- Bujanov Moscow City Clinical Hospital, Moscow, Russian Federation.,Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department, Moscow, Russian Federation
| | - William Camu
- ALS Centre CHU Gui de Chauliac, University of Montpellier, Montpellier, France
| | - Mamede De Carvalho
- Institute of Physiology-Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisbon, Portugal.,Department of Neurosciences and Mental Health, H Santa Maria-CHLN, Lisbon, Portugal
| | - Cristina Cereda
- Regional Newborn Screening Laboratory, Vittore Buzzi Children's Hospital-University of Milan, Italy
| | - Hakan Cetin
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Delia Chaverri
- Neurology Service, Hospital Universitario La Paz, Madrid, Spain
| | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy.,Azienda Ospedaliera Città della Salute e della Scienza, Turin, Italy
| | - Philippe Corcia
- Centre Constitutif SLA, CHRU de Tours - Fédération des centres SLA Tours-Limoges, LitORALS, Tours, France
| | - Philippe Couratier
- Centre Constitutif de reference SLA-Fédération Tours-Limoges, CHU de Limoges, Limoges, France
| | | | | | - Michael A Van Es
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - JesÚs Esteban
- ALS Research Lab - ALS Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre "i + 12", CIBERER, Madrid, Spain
| | - Massimiliano Filosto
- Department of Clinical and Experimental Sciences, University of Brescia; NeMO-Brescia Clinical Center for Neuromuscular Diseases, Brescia, Italy
| | - Alberto GarcÍa Redondo
- ALS Research Lab - ALS Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre "i + 12", CIBERER, Madrid, Spain
| | - Julian Grosskreutz
- Precision Neurology, Dept. of Neurology, Lübeck University Hospital, Lübeck, Germany
| | - Clemens O Hanemann
- University of Plymouth, Peninsula Schools of Medicine and Dentistry, Plymouth, UK
| | - Trygve HolmØy
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Helle HØyer
- Department of Medical Genetics, Telemark Hospital, Skien, Norway
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Blaz Koritnik
- Institute of Clinical Neurophysiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | | | - Thomas Lambert
- Department of Neurology, Royal Stoke University Hospital, Stoke, United Kingdom
| | - Peter N Leigh
- Department of Neuroscience, Brighton and Sussex Medical School, Trafford Centre for Biomedical Research, University of Sussex, Brighton, UK
| | - Christian Lunetta
- NEMO Clinical Center, Serena Onlus Foundation, Milan, Italy.,NEMO LAB, Milan, Italy
| | - Jessica Mandrioli
- Department of Biomedical, Metabolic and Neural Sciences, Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.,Department of Neuroscience, St. Agostino Estense Hospital, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Christopher J Mcdermott
- Department of Neuroscience, University of Sheffield, Sheffield Institute for Translational Neuroscience, Sheffield, United Kingdom
| | - Thomas Meyer
- ALS Outpatient Department, Charité - Universitatsmedizin Berlin, Berlin, Germany
| | - Jesus S Mora
- ALS Unit/Neurology, Hospital San Rafael, Madrid, Spain
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - MÓnica Povedano
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat, Spain
| | - Evy Reviers
- European Organization for Professionals and Patients with ALS (EUpALS) & ALS Liga Belgium, Leuven, Belgium
| | - Nilo Riva
- Department of Neurology, Experimental Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Kit C B Roes
- Department of Health Evidence, Section Biostatistics, Radboud University Medical Centre Nijmegen, Nijmegen, the Netherlands
| | - Miguel Á Rubio
- Neuromuscular Unit, Department of Neurology, Hospital del Mar, Barcelona, Spain.,Instituto Hospital del Mar de Investivaciones Médicas (IMIM), Barcelona, Spain
| | - FranÇois Salachas
- Département de Neurologie, Centre de référence SLA Ile de France.,Hôpital de la Pitié Salpêtrière, AP-HP, Paris, France
| | - Stayko Sarafov
- Clinic of General Neurology, Medical University Sofia, University Hospital Alexandrovska, Sofia, Bulgaria
| | - Gianni SorarÙ
- Department of Neurosciences, University of Padova, Padova, Italy
| | - Zorica Stevic
- Clinic of Neurology, Clinical Center of Serbia, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Kirsten Svenstrup
- Department of Neurology, Bispebjerg-Frederiksberg Hospital and Rigshospitalet, University Hospital of Copenhagen, Denmark
| | | | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Philip Van Damme
- Department of Neurosciences, Laboratory for Neurobiology, KU Leuven and Centre for Brain & Disease Research, VIB, Leuven Brain Institute, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Lucie A G Van Leeuwen
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Luis Varona
- Department of Neurology, Basurto University Hospital, Vizcaya, Spain
| | - Juan F VÁzquez Costa
- ALS Unit and Neuromuscular Disease Unit, Department of Neurology, Hospital La Fe, Valencia, Spain
| | - Markus Weber
- Neuromoscular Disease Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Orla Hardiman
- Academic Unit of Neurology Trinity College Dublin Ireland, Dublin, Ireland
| | - Leonard H Van Den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
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van Eijk RP, Roes KC, de Greef‐van der Sandt I, van den Berg LH, Lu Y. Functional loss and mortality in randomized clinical trials for amyotrophic lateral sclerosis: to combine, or not to combine – that is the estimand. Clin Pharmacol Ther 2022; 111:817-825. [PMID: 35076930 PMCID: PMC8940672 DOI: 10.1002/cpt.2533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 01/15/2022] [Indexed: 11/07/2022]
Abstract
Amyotrophic lateral sclerosis is a rapidly progressive disease leading to death in, on average, 3–5 years after first symptom onset. Consequently, there are frequently a non‐negligible number of patients who die during the course of a clinical trial. This introduces bias in end points such as daily functioning, muscle strength, and quality of life. In this paper, we outline how the choice of strategy to handle death affects the interpretation of the trial results. We provide a general overview of the considerations, positioned in the estimand framework, and discuss the possibility that not every strategy provides a clinically relevant answer in each setting. The relevance of a strategy changes as a function of the intended trial duration, hypothesized treatment effect, and population included. It is important to consider this trade‐off at the design stage of a clinical trial, as this will clarify the exact research question that is being answered, and better guide the planning, design, and analysis of the study.
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Affiliation(s)
- Ruben P.A. van Eijk
- Department of Biomedical Data Science and Center for Innovative Study Design School of Medicine Stanford University Stanford United States
- Department of Neurology UMC Utrecht Brain Centre University Medical Centre Utrecht Utrecht the Netherlands
| | - Kit C.B. Roes
- Department of Health Evidence Radboud Medical Centre Nijmegen Section Biostatistics the Netherlands
| | | | - Leonard H. van den Berg
- Department of Neurology UMC Utrecht Brain Centre University Medical Centre Utrecht Utrecht the Netherlands
| | - Ying Lu
- Department of Biomedical Data Science and Center for Innovative Study Design School of Medicine Stanford University Stanford United States
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14
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Beswick E, Forbes D, Hassan Z, Wong C, Newton J, Carson A, Abrahams S, Chandran S, Pal S. A systematic review of non-motor symptom evaluation in clinical trials for amyotrophic lateral sclerosis. J Neurol 2022; 269:411-426. [PMID: 34120226 PMCID: PMC8738361 DOI: 10.1007/s00415-021-10651-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/28/2021] [Accepted: 06/04/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is increasingly recognised as a multi-system disorder, presenting with common and impactful non-motor symptoms, such as neuropsychiatric symtpoms, cognitive and behavioural changes, pain, disordered sleep, fatigue and problematic saliva. AIM/HYPOTHESIS We aimed to systematically review 25 years of ALS clinical trials data to identify if non-motor features were evaluated, in addition to the traditional measures of motor functioning and survival, and where evaluated to describe the instruments used to assess. We hypothesised that assessment of non-motor symptoms has been largely neglected in trial design and not evaluated with ALS-suitable instruments. METHODS We reviewed clinical trials of investigative medicinal products in ALS, since the licensing of riluzole in 1994. Trial registry databases including WHO International Trials Registry, European Clinical Trials Register, clinicaltrials.gov, and PubMed were systematically searched for Phase II, III or IV trials registered, completed or published between 01/01/1994 and 16/09/2020. No language restrictions were applied. RESULTS 237 clinical trials, including over 29,222 participants, were investigated for their use of non-motor outcome measures. These trials evaluated neuropsychiatric symptoms (75, 32%), cognitive impairment (16, 6.8%), behavioural change (34, 14%), pain (55, 23%), sleep disturbances (12, 5%) and fatigue (18, 8%). Problematic saliva was assessed as part of composite ALS-FRS(R) scores in 184 trials (78%) but with no focus on this as an isolated symptom. 31 (13%) trials including 3585 participants did not include any assessment of non-motor symptoms. CONCLUSIONS Non-motor symptoms such as neuropsychiatric, cognitive and behavioural changes, pain, disordered sleep, fatigue, and problematic saliva have not been consistently evaluated in trials for people with ALS. Where evaluated, non-symptoms were primarily assessed using instruments and impairment thresholds that are not adapted for people with ALS. Future trials should include non-motor symptom assessments to evaluate the additional potential therapeutic benefit of candidate drugs. PROPSERO REGISTRATION CRD42020223648.
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Affiliation(s)
- Emily Beswick
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Deborah Forbes
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Zack Hassan
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Charis Wong
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Judith Newton
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Alan Carson
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Sharon Abrahams
- grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Human Cognitive Neurosciences, Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Siddharthan Chandran
- grid.4305.20000 0004 1936 7988Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB Scotland, UK ,grid.4305.20000 0004 1936 7988Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988Human Cognitive Neurosciences, Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, Scotland, UK ,grid.4305.20000 0004 1936 7988UK Dementia Research Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK. .,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4 SB, Scotland, UK. .,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK.
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15
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Bakers JNE, de Jongh AD, Bunte TM, Kendall L, Han SS, Epstein N, Lavrov A, Beelen A, Visser-Meily JMA, van den Berg LH, van Eijk RPA. Using the ALSFRS-R in multicentre clinical trials for amyotrophic lateral sclerosis: potential limitations in current standard operating procedures. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:500-507. [PMID: 34949141 DOI: 10.1080/21678421.2021.2016838] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Objective: Uniform data collection is fundamental for multicentre clinical trials. We aim to determine the variability, between ALS trial centers, in the prevalence of unexpected or implausible improvements in the revised ALS functional rating scale (ALSFRS-R) score, and its associations with individual patient and item characteristics.Methods: We used data from two multicentre studies to estimate the prevalence of an unexpected increase or implausible improvement in the ALSFRS-R score, defined as an increase of 5 points or more between two consecutive, monthly visits. For each patient with a 5-point or more increase, we evaluated the individual contribution of each ALSFRS-R item.Results: Longitudinal ALSFRS-R scores, originating from 114 trial centers enrolling a total of 1,240 patients, were analyzed. A 5-point or more increase in ALSFRS-R total score was found in 151 (12.2%) patients, with prevalence per study center ranging from 0% to 83%. Bulbar onset, faster disease progression at enrollment, and a lower ALSFRS-R score at baseline were associated with a sudden 5-point or more increase in the ALSFRS-R total score. ALSFRS-R items 2 (saliva), 9 (stairs), 10 (dyspnea), and 11 (orthopnea) were the primary drivers when a 5-point or more increase occurred.Conclusions: Sudden 5-point or more increases in ALSFRS-R total scores between two consecutive visits are relatively common. These sudden increases were not found to occur with equal frequency in trial centers; which underscores the need for amending existing standard operating procedures toward a universal version and monitoring of data quality during the study, in multicentre research.
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Affiliation(s)
- Jaap N E Bakers
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands.,Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, the Netherlands
| | - Adriaan D de Jongh
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Tommy M Bunte
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | | | - Steve S Han
- Neurosciences, Takeda Pharmaceuticals, Cambridge, USA
| | - Noam Epstein
- Discovery Medicine, GlaxoSmithKline R&D, Upper Providence, USA
| | - Arseniy Lavrov
- Clinical Development, Novartis Gene Therapies, Cambridge, UK, and
| | - Anita Beelen
- Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, the Netherlands
| | - Johanna M A Visser-Meily
- Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
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16
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Sleutjes BTHM, Bystrup Jacobsen A, Tankisi H, Gorkem Sirin N, Emre Oge A, Henderson RD, van Doorn PA, van den Berg LH, van Eijk RPA. Advancing disease monitoring of amyotrophic lateral sclerosis with the compound muscle action potential scan. Clin Neurophysiol 2021; 132:3152-3159. [PMID: 34749234 DOI: 10.1016/j.clinph.2021.09.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/20/2021] [Accepted: 09/15/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To determine which compound muscle action potential (CMAP) scan-derived electrophysiological markers are most sensitive for monitoring disease progression in amyotrophic lateral sclerosis (ALS), and whether they hold value for clinical trials. METHODS We used four independent patient cohorts to assess longitudinal patterns of a comprehensive set of electrophysiological markers including their association with the ALS functional rating scale (ALSFRS-R). Results were translated to trial sample size requirements. RESULTS In 65 patients, 225 thenar CMAP scan recordings were obtained. Electrophysiological markers showed extensive variation in their longitudinal trajectories. Expressed as standard deviations per month, motor unit number estimation (MUNE) values declined by 0.09 (CI 0.07-0.12), D50, a measure that quantifies CMAP scan discontinuities, declined by 0.09 (CI 0.06-0.13) and maximum CMAP by 0.05 (CI 0.03-0.08). ALSFRS-R declined fastest (0.12, CI 0.08 - 0.15), however the between-patient variability was larger compared to electrophysiological markers, resulting in larger sample sizes. MUNE reduced the sample size by 19.1% (n = 388 vs n = 314) for a 6-month study compared to the ALSFRS-R. CONCLUSIONS CMAP scan-derived markers show promise in monitoring disease progression in ALS patients, where MUNE may be its most suitable derivate. SIGNIFICANCE MUNE may increase clinical trial efficiency compared to clinical endpoints.
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Affiliation(s)
- Boudewijn T H M Sleutjes
- Department of Neurology, Brain Centre Utrecht, Utrecht, the Netherlands; Department of Neurology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands.
| | | | - Hatice Tankisi
- Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark
| | - N Gorkem Sirin
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - A Emre Oge
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Robert D Henderson
- Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane, Australia
| | - Pieter A van Doorn
- Department of Neurology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Ruben P A van Eijk
- Department of Neurology, Brain Centre Utrecht, Utrecht, the Netherlands; Biostatistics and Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
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17
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Amor S, Nutma E, Marzin M, Puentes F. Imaging immunological processes from blood to brain in amyotrophic lateral sclerosis. Clin Exp Immunol 2021; 206:301-313. [PMID: 34510431 PMCID: PMC8561688 DOI: 10.1111/cei.13660] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/18/2021] [Accepted: 08/29/2021] [Indexed: 12/12/2022] Open
Abstract
Neuropathology studies of amyotrophic lateral sclerosis (ALS) and animal models of ALS reveal a strong association between aberrant protein accumulation and motor neurone damage, as well as activated microglia and astrocytes. While the role of neuroinflammation in the pathology of ALS is unclear, imaging studies of the central nervous system (CNS) support the idea that innate immune activation occurs early in disease in both humans and rodent models of ALS. In addition, emerging studies also reveal changes in monocytes, macrophages and lymphocytes in peripheral blood as well as at the neuromuscular junction. To more clearly understand the association of neuroinflammation (innate and adaptive) with disease progression, the use of biomarkers and imaging modalities allow monitoring of immune parameters in the disease process. Such approaches are important for patient stratification, selection and inclusion in clinical trials, as well as to provide readouts of response to therapy. Here, we discuss the different imaging modalities, e.g. magnetic resonance imaging, magnetic resonance spectroscopy and positron emission tomography as well as other approaches, including biomarkers of inflammation in ALS, that aid the understanding of the underlying immune mechanisms associated with motor neurone degeneration in ALS.
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Affiliation(s)
- Sandra Amor
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands.,Department of Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Erik Nutma
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
| | - Manuel Marzin
- Department of Pathology, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
| | - Fabiola Puentes
- Department of Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
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18
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Trojsi F, Di Nardo F, Caiazzo G, Siciliano M, D’Alvano G, Passaniti C, Russo A, Bonavita S, Cirillo M, Esposito F, Tedeschi G. Between-sex variability of resting state functional brain networks in amyotrophic lateral sclerosis (ALS). J Neural Transm (Vienna) 2021; 128:1881-1897. [PMID: 34471976 PMCID: PMC8571222 DOI: 10.1007/s00702-021-02413-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/21/2021] [Indexed: 12/12/2022]
Abstract
The organization of brain functional connectivity (FC) has been shown to differ between sexes. Amyotrophic lateral sclerosis (ALS) is characterized by sexual dimorphism, showing sex-specific trends in site of onset, phenotypes, and prognosis. Here, we explored resting state (RS) FC differences within major large-scale functional networks between women and men in a sample of ALS patients, in comparison to healthy controls (HCs). A group-level independent component analysis (ICA) was performed on RS-fMRI time-series enabling spatial and spectral analyses of large-scale RS FC networks in 45 patients with ALS (20 F; 25 M) and 31 HCs (15 F; 16 M) with a focus on sex-related differences. A whole-brain voxel-based morphometry (VBM) was also performed to highlight atrophy differences. Between-sex comparisons showed: decreased FC in the right middle frontal gyrus and in the precuneus within the default mode network (DMN), in affected men compared to affected women; decreased FC in the right post-central gyrus (sensorimotor network), in the right inferior parietal gyrus (right fronto-parietal network) and increased FC in the anterior cingulate cortex and right insula (salience network), in both affected and non-affected men compared to women. When comparing affected men to affected women, VBM analysis revealed atrophy in men in the right lateral occipital cortex. Our results suggest that in ALS sex-related trends of brain functional and structural changes are more heavily represented in DMN and in the occipital cortex, suggesting that sex is an additional dimension of functional and structural heterogeneity in ALS.
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Affiliation(s)
- Francesca Trojsi
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Giuseppina Caiazzo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Giulia D’Alvano
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Carla Passaniti
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Antonio Russo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Mario Cirillo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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19
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Torrieri MC, Manera U, Mora G, Canosa A, Vasta R, Fuda G, Salamone P, Grassano M, Cugnasco P, Launaro N, De Marchi F, Mattei A, Mazzini L, Moglia C, Calvo A, Chiò A. Tailoring patients' enrollment in ALS clinical trials: the effect of disease duration and vital capacity cutoffs. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:108-115. [PMID: 34355622 DOI: 10.1080/21678421.2021.1936063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Objective: To evaluate how Amyotrophic Lateral Sclerosis (ALS) patients' mortality rates change, based on different levels of forced vital capacity (FVC) and disease duration, providing a scheme of mortality rates of a real population of ALS patients to improve the design of future RCTs. Methods: One random spirometry for each ALS patient was selected during four time intervals from disease onset: (1) ≤12 months; (2) ≤18 months; (3) ≤24 months; (4) ≤36 months. Date of spirometry corresponded to date of trial entry, while time interval onset-spirometry to disease duration at enrollment. Mortality rates from inclusion were computed at different time intervals. Based on progression rates, patients were stratified in slow, intermediate and fast progressors. Survival from recruitment was calculated depending on FVC, disease duration and progression rate. Results: We included 659 patients in group 1, 888 in group 2, 1019 in group 3 and 1102 in group 4. Mortality rates were higher in each group at reducing the FVC cutoff used for recruitment (p < 0.001). Median survival decreased when lowering FVC and disease duration cutoffs (p < 0.001); a higher median disease progression rate of included patients led to lower median survival from recruitment. The proportion of recruited fast progressors raised when shortening disease duration and lowering FVC cutoff. Conclusions: This is a simple model for setting eligibility criteria, based on mortality rates of patients depending on FVC and disease duration, to select the best population for RCTs, tailored to trials' primary endpoints and duration.
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Affiliation(s)
| | - Umberto Manera
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Gabriele Mora
- Neurorehabilitation Department, Institute of Milan, ICS Maugeri IRCCS, Milan, Italy
| | - Antonio Canosa
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology 1, AOU Città della Salute e della Scienza di Torino, Turin, Italy
| | - Rosario Vasta
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Giuseppe Fuda
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Paolina Salamone
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Maurizio Grassano
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Paolo Cugnasco
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Nicola Launaro
- Respiratory Intensive Care Unit, Presidio Ospedaliero di Saluzzo, Saluzzo, Italy
| | - Fabiola De Marchi
- Department of Neurology and ALS Centre, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy, and
| | - Alessio Mattei
- Azienda Ospedaliero-Universitaria Città della Salute e della Scienza, S.C. Pneumologia U, Turin, Italy
| | - Letizia Mazzini
- Department of Neurology and ALS Centre, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy, and
| | - Cristina Moglia
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology 1, AOU Città della Salute e della Scienza di Torino, Turin, Italy
| | - Andrea Calvo
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology 1, AOU Città della Salute e della Scienza di Torino, Turin, Italy
| | - Adriano Chiò
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology 1, AOU Città della Salute e della Scienza di Torino, Turin, Italy
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20
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van Eijk RPA, de Jongh AD, Nikolakopoulos S, McDermott CJ, Eijkemans MJC, Roes KCB, van den Berg LH. An old friend who has overstayed their welcome: the ALSFRS-R total score as primary endpoint for ALS clinical trials. Amyotroph Lateral Scler Frontotemporal Degener 2021; 22:300-307. [PMID: 33527843 DOI: 10.1080/21678421.2021.1879865] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/12/2021] [Accepted: 01/17/2021] [Indexed: 12/13/2022]
Abstract
Objective: The ALSFRS-R is limited by multidimensionality, which originates from the summation of various subscales. This prevents a direct comparison between patients with identical total scores. We aim to evaluate how multidimensionality affects the performance of the ALSFRS-R in clinical trials. Methods: We simulated clinical trial data with different treatment effects for the ALSFRS-R total score and its subscales (i.e. bulbar, fine motor, gross motor and respiratory). We considered scenarios where treatment reduced the rate of ALSFRS-R subscale decline either uniformly (i.e. all subscales respond identically to treatment) or non-uniformly (i.e. subscales respond differently to treatment). Two main analytical strategies were compared: (1) analyzing only the total score or (2) utilizing a subscale-based test (i.e. alternative strategy). For each analytical strategy, we calculated the empirical power and required sample size. Results: Both strategies are valid when there is no treatment benefit and provide adequate control of type 1 error. If all subscales respond identically to treatment, using the total score is the most powerful approach. As the differences in treatment responses between subscales increase, the more the total score becomes affected. For example, to detect a 40% reduction in the bulbar rate of decline with 80% power, the total score requires 1380 patients, whereas this is 336 when using the alternative strategy. Conclusions: Ignoring the multidimensional structure of the ALSFRS-R total score could have negative consequences for ALS clinical trials. We propose determining treatment benefit on a subscale level, prior to stating whether a treatment is generally effective.
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Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Adriaan D de Jongh
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Stavros Nikolakopoulos
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Christopher J McDermott
- Department of Neuroscience, University of Sheffield, Sheffield Institute for Translational Neuroscience, Sheffield, UK, and
| | - Marinus J C Eijkemans
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Kit C B Roes
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Health Evidence, Radboud Medical Centre Utrecht, Nijmegen, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, The Netherlands
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