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Riva N, Domi T, Pozzi L, Lunetta C, Schito P, Spinelli EG, Cabras S, Matteoni E, Consonni M, Bella ED, Agosta F, Filippi M, Calvo A, Quattrini A. Update on recent advances in amyotrophic lateral sclerosis. J Neurol 2024; 271:4693-4723. [PMID: 38802624 PMCID: PMC11233360 DOI: 10.1007/s00415-024-12435-9] [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: 04/09/2024] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/29/2024]
Abstract
In the last few years, our understanding of disease molecular mechanisms underpinning ALS has advanced greatly, allowing the first steps in translating into clinical practice novel research findings, including gene therapy approaches. Similarly, the recent advent of assistive technologies has greatly improved the possibility of a more personalized approach to supportive and symptomatic care, in the context of an increasingly complex multidisciplinary line of actions, which remains the cornerstone of ALS management. Against this rapidly growing background, here we provide an comprehensive update on the most recent studies that have contributed towards our understanding of ALS pathogenesis, the latest results from clinical trials as well as the future directions for improving the clinical management of ALS patients.
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Affiliation(s)
- Nilo Riva
- 3Rd Neurology Unit and Motor Neuron Disease Centre, Fondazione IRCCS "Carlo Besta" Neurological Insitute, Milan, Italy.
| | - Teuta Domi
- Experimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Laura Pozzi
- Experimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Christian Lunetta
- Istituti Clinici Scientifici Maugeri IRCCS, Neurorehabilitation Unit of Milan Institute, 20138, Milan, Italy
| | - Paride Schito
- Experimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Edoardo Gioele Spinelli
- Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sara Cabras
- ALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin; SC Neurologia 1U, AOU città della Salute e della Scienza di Torino, Turin, Italy
| | - Enrico Matteoni
- ALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin; SC Neurologia 1U, AOU città della Salute e della Scienza di Torino, Turin, Italy
| | - Monica Consonni
- 3Rd Neurology Unit and Motor Neuron Disease Centre, Fondazione IRCCS "Carlo Besta" Neurological Insitute, Milan, Italy
| | - Eleonora Dalla Bella
- 3Rd Neurology Unit and Motor Neuron Disease Centre, Fondazione IRCCS "Carlo Besta" Neurological Insitute, Milan, Italy
| | - Federica Agosta
- Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute Huniversity, Milan, Italy
| | - Massimo Filippi
- Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroimaging Research Unit, Department of Neurology, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute Huniversity, Milan, Italy
| | - Andrea Calvo
- ALS Centre, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin; SC Neurologia 1U, AOU città della Salute e della Scienza di Torino, Turin, Italy
| | - Angelo Quattrini
- Experimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Foucher J, Öijerstedt L, Lovik A, Sun J, Ismail MAM, Sennfält S, Savitcheva I, Estenberg U, Pagani M, Fang F, Pereira JB, Ingre C. ECAS correlation with metabolic alterations on FDG-PET imaging in ALS. Amyotroph Lateral Scler Frontotemporal Degener 2024:1-9. [PMID: 38836336 DOI: 10.1080/21678421.2024.2361695] [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: 11/17/2023] [Accepted: 05/17/2024] [Indexed: 06/06/2024]
Abstract
Background: Cognitive impairment is observed in up to 50% of patients with amyotrophic lateral sclerosis (ALS). The Edinburgh Cognitive and Behavioral ALS Screen (ECAS) is an ALS-specific multi-domain screening tool. Few studies have examined the relationship between ECAS scores and [18F]fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) findings. Objective: To assess the relationship between ECAS scores and glucose metabolism patterns on [18F]FDG -PET images in ALS. Methods: We collected [18F]FDG-PET images from 65 patients with ALS and 39 healthy controls. ECAS scores were collected on all patients and we calculated the correlation to [18F]FDG-PET in order to investigate the potential links between cognition and glucose metabolism. Results: We observed hypometabolism in the frontal cortex, insula, and limbic system, together with hypermetabolism in the cerebellum in patients with ALS compared to controls. A lower ECAS total score was associated with lower glucose metabolism in the right orbitofrontal gyrus and higher glucose metabolism in lateral occipital, medial occipital, and cerebellar regions, among patients with ALS. Similar results, although less widespread, were observed in the analyses of ECAS ALS-specific scores. Conclusions: The metabolic patterns in [18F]FDG -PET show that changes in the glucose metabolism of corresponding areas are related to cognitive dysfunction in ALS, and can be detected using the ECAS.
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Affiliation(s)
- Juliette Foucher
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, ME Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Linn Öijerstedt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, ME Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Anikó Lovik
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Jiawei Sun
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Muhammad-Al-Mustafa Ismail
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, ME Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Stefan Sennfält
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, ME Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Irina Savitcheva
- Medical Radiation Physics and Nuclear Medicine Imaging, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden, and
| | - Ulrika Estenberg
- Medical Radiation Physics and Nuclear Medicine Imaging, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden, and
| | - Marco Pagani
- Medical Radiation Physics and Nuclear Medicine Imaging, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden, and
- Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome, Italy
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Joana B Pereira
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, ME Neurology, Karolinska University Hospital, Stockholm, Sweden
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Jiménez-García AM, Bonnel G, Álvarez-Mota A, Arias N. Current perspectives on neuromodulation in ALS patients: A systematic review and meta-analysis. PLoS One 2024; 19:e0300671. [PMID: 38551974 PMCID: PMC10980254 DOI: 10.1371/journal.pone.0300671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 03/01/2024] [Indexed: 04/01/2024] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease that affects motor neurons, resulting in muscle weakness, paralysis, and eventually patient mortality. In recent years, neuromodulation techniques have emerged as promising potential therapeutic approaches to slow disease progression and improve the quality of life of ALS patients. A systematic review was conducted until August 8, 2023, to evaluate the neuromodulation methods used and their potential in the treatment of ALS. The search strategy was applied in the Cochrane Central database, incorporating results from other databases such as PubMed, Embase, CTgov, CINAHL, and ICTRP. Following the exclusion of papers that did not fulfil the inclusion criteria, a total of 2090 records were found, leaving a total of 10 studies. R software was used to conduct meta-analyses based on the effect sizes between the experimental and control groups. This revealed differences in muscle stretch measures with manual muscle testing (p = 0.012) and resting motor threshold (p = 0.0457), but not with voluntary isometric contraction (p = 0.1883). The functionality of ALS was also different (p = 0.007), but not the quality of life. Although intracortical facilitation was not seen in motor cortex 1 (M1) (p = 0.1338), short-interval intracortical inhibition of M1 was significant (p = 0.0001). BDNF showed no differences that were statistically significant (p = 0.2297). Neuromodulation-based treatments are proposed as a promising therapeutic approach for ALS that can produce effects on muscle function, spasticity, and intracortical connections through electrical, magnetic, and photonic stimulation. Photobiomodulation stands out as an innovative approach that uses specific wavelengths to influence mitochondria, with the aim of improving mitochondrial function and reducing excitotoxicity. The lack of reliable placebo controls and the variation in stimulation frequency are some of the drawbacks of neuromodulation.
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Affiliation(s)
- Ana M. Jiménez-García
- BRABE Group, Department of Psychology, Faculty of Life and Natural Sciences, University of Nebrija, Madrid, Spain
| | - Gaspard Bonnel
- BRABE Group, Department of Psychology, Faculty of Life and Natural Sciences, University of Nebrija, Madrid, Spain
| | - Alicia Álvarez-Mota
- BRABE Group, Department of Psychology, Faculty of Life and Natural Sciences, University of Nebrija, Madrid, Spain
| | - Natalia Arias
- BRABE Group, Department of Psychology, Faculty of Life and Natural Sciences, University of Nebrija, Madrid, Spain
- Health Research Institute of the Principality of Asturias (Instituto de Investigación Universitaria del Principado de Asturias), Oviedo, Spain
- INEUROPA, Instituto de Neurociencias del Principado de Asturias, Plaza Feijoo, Oviedo, Spain
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Sancho-Cantus D, Cubero-Plazas L, Privado J, García-Iturrospe EJA, Cañabate Ros M, Navarro-Illana E, Ortí JEDLR. Spanish adaptation and validation of the ALS Depression Inventory-12 (ADI-12) in patients with Amyotrophic Lateral Sclerosis. Arch Med Res 2024; 55:102936. [PMID: 38141272 DOI: 10.1016/j.arcmed.2023.102936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/08/2023] [Accepted: 12/12/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Patients with Amyotrophic Lateral Sclerosis (ALS) have a higher prevalence of mood disorders, including depression, than the general population. Non-specific measurement instruments have been used to evaluate depression in these patients, which complicates accurate diagnosis. The ALS Depression Inventory (ADI-12) exclusively assesses depressive symptoms in patients with ALS. AIM To adapt and validate the ADI-12 in a Spanish sample. METHODS A selective design was used with 74 patients with ALS, using the ADI-12 questionnaire. The original instrument was translated and back-translated into Spanish. The internal structure, temporal stability, convergent, and discriminant validity of the instrument were analyzed. RESULTS Two confirmatory models showed internal validity (p = 0.502 for the one-factor model, p = 0.507 for the two-factor model). The Cronbach's alpha (0.900 in the first measurement and 0.889 in the second one) indicated a high internal consistency of the test. The Pearson correlation (0.90) indicated high temporal stability. In terms of convergent validity, the ADI-12 showed moderate correlations with the Beck Anxiety Inventory (BAI) (0.51-0.58), and low correlations with time since ALS diagnosis (-0.26 to -0.27). LIMITATIONS The main limitation of the present study was the small sample size. CONCLUSIONS The ADI-12 is fitted to a single general factor of depression, and the scale shows high internal consistency and high temporal stability, therefore, its use is recommended for the diagnosis of depression in patients with ALS.
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Affiliation(s)
| | | | - Jesús Privado
- Department of Methodology of Behavioral Sciences, Universidad Complutense de Madrid, Campus de Somosaguas, Pozuelo de Alarcón, Madrid, Spain
| | - Eduardo Jesús Aguilar García-Iturrospe
- Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain. CIBERSAM: Spanish National Network for Research in Mental Health, Madrid, Spain
| | - Montserrat Cañabate Ros
- Department of Nursing, Catholic University of Valencia, Valencia, Spain; Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain. CIBERSAM: Spanish National Network for Research in Mental Health, Madrid, Spain
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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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Seritan AL. Advances in the Diagnosis and Management of Psychotic Symptoms in Neurodegenerative Diseases: A Narrative Review. J Geriatr Psychiatry Neurol 2023; 36:435-460. [PMID: 36941085 PMCID: PMC10578041 DOI: 10.1177/08919887231164357] [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: 03/23/2023]
Abstract
Background: Approximately 15% of older adults may experience psychotic phenomena. Primary psychiatric disorders that manifest with psychosis (delusions, hallucinations, and disorganized thought or behavior) account for less than half. Up to 60% of late-life psychotic symptoms are due to systemic medical or neurological conditions, particularly neurodegenerative diseases. A thorough medical workup including laboratory tests, additional procedures if indicated, and neuroimaging studies is recommended. This narrative review summarizes current evidence regarding the epidemiology and phenomenology of psychotic symptoms encountered as part of the neurodegenerative disease continuum (including prodromal and manifest stages). Results: Prodromes are constellations of symptoms that precede the onset of overt neurodegenerative syndromes. Prodromal psychotic features, particularly delusions, have been associated with an increased likelihood of receiving a neurodegenerative disease diagnosis within several years. Prompt prodrome recognition is crucial for early intervention. The management of psychosis associated with neurodegenerative diseases includes behavioral and somatic strategies, although evidence is scarce and mostly limited to case reports, case series, or expert consensus guidelines, with few randomized controlled trials. Conclusion: The complexity of psychotic manifestations warrants management by interprofessional teams that provide coordinated, integrated care.
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Affiliation(s)
- Andreea L. Seritan
- University of California, San Francisco Department of Psychiatry and UCSF Weill Institute for Neurosciences, CA, USA
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Jellinger KA. The Spectrum of Cognitive Dysfunction in Amyotrophic Lateral Sclerosis: An Update. Int J Mol Sci 2023; 24:14647. [PMID: 37834094 PMCID: PMC10572320 DOI: 10.3390/ijms241914647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Cognitive dysfunction is an important non-motor symptom in amyotrophic lateral sclerosis (ALS) that has a negative impact on survival and caregiver burden. It shows a wide spectrum ranging from subjective cognitive decline to frontotemporal dementia (FTD) and covers various cognitive domains, mainly executive/attention, language and verbal memory deficits. The frequency of cognitive impairment across the different ALS phenotypes ranges from 30% to 75%, with up to 45% fulfilling the criteria of FTD. Significant genetic, clinical, and pathological heterogeneity reflects deficits in various cognitive domains. Modern neuroimaging studies revealed frontotemporal degeneration and widespread involvement of limbic and white matter systems, with hypometabolism of the relevant areas. Morphological substrates are frontotemporal and hippocampal atrophy with synaptic loss, associated with TDP-43 and other co-pathologies, including tau deposition. Widespread functional disruptions of motor and extramotor networks, as well as of frontoparietal, frontostriatal and other connectivities, are markers for cognitive deficits in ALS. Cognitive reserve may moderate the effect of brain damage but is not protective against cognitive decline. The natural history of cognitive dysfunction in ALS and its relationship to FTD are not fully understood, although there is an overlap between the ALS variants and ALS-related frontotemporal syndromes, suggesting a differential vulnerability of motor and non-motor networks. An assessment of risks or the early detection of brain connectivity signatures before structural changes may be helpful in investigating the pathophysiological mechanisms of cognitive impairment in ALS, which might even serve as novel targets for effective disease-modifying therapies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150 Vienna, Austria
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Wei QQ, Guo Y, Li S, Yang T, Hou Y, Ou R, Lin J, Jiang Q, Shang H. Prevalence and associated factors of apathy in Chinese ALS patients. Front Psychol 2023; 14:1089856. [PMID: 37063533 PMCID: PMC10098002 DOI: 10.3389/fpsyg.2023.1089856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/06/2023] [Indexed: 03/31/2023] Open
Abstract
ObjectivveThis study aimed to explore the prevalence and clinical correlates of apathy in amyotrophic lateral sclerosis (ALS) in a cohort of Chinese patients.MethodsA total of 1,013 ALS patients were enrolled in this study. Apathy was recorded during face-to-face interviews using Frontal Behavioral Inventory, and other patient characteristics, including depression, anxiety, and cognitive function, were collected using Hamilton Depression Rating Scale (HDRS), Hamilton Anxiety Rating Scale (HARS), and Chinese version of Addenbrooke’s Cognitive Examination-revised. Health-related quality of life of ALS patients and their caregivers was also evaluated, and the potential factors associated with apathy were explored using forward binary regression analysis. Survival was analyzed using the Cox proportional hazards model.ResultsThe prevalence of apathy in all patients was 28.9%. Patients in the late disease stage had a higher prevalence of apathy than those in the early disease stage. Furthermore, patients with apathy had a lower ALS Functional Rating Scale revised (ALSFRS-R) score, higher HDRS score, HARS score and higher proportion of reported problems in the anxiety/depression. Additionally, their caregivers had higher score of depression and higher Zarit-Burden Interview scores. Multivariate regression analysis revealed that apathy in ALS was associated with the onset region (p = 0.027), ALSFRS-R score (p = 0.007), depression (p = 0.001) and anxiety (p < 0.001). Apathy had a significant negative effect on survival in ALS patients (p = 0.032).ConclusionApathy is relatively common (28.9%) in Chinese patients with ALS. Apathy is related to both the severity of the disease, and the presentation of non-motor symptoms in ALS, such as depression and anxiety disorders. Apathy is an independent prognostic factor for survival and requires early intervention and management.
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Affiliation(s)
- Qian-Qian Wei
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuan Guo
- Outpatient Department, West China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shirong Li
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurology, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China
| | - Tianmi Yang
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanbing Hou
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ruwei Ou
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Junyu Lin
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qirui Jiang
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Shang
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- *Correspondence: Huifang Shang,
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Solca F, Aiello EN, Torre S, Carelli L, Ferrucci R, Verde F, Ticozzi N, Silani V, Monti A, Poletti B. Prevalence and determinants of language impairment in non-demented amyotrophic lateral sclerosis patients. Eur J Neurol 2023; 30:606-611. [PMID: 36445001 PMCID: PMC10108014 DOI: 10.1111/ene.15652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE This study aimed at estimating the prevalence of language impairment (LI) in a large, clinic-based cohort of non-demented amyotrophic lateral sclerosis (ALS) patients and assessing its underpinnings at motor and non-motor levels. METHODS Non-demented ALS patients (N = 348) underwent the Edinburgh Cognitive and Behavioural ALS Screen (ECAS), as well as an assessment of behavioural/psychiatric and motor-functional features. The prevalence of LI was estimated based on the proportion of patients showing a performance below the age- and education-adjusted cut-off on the ECAS-Language. Multiple regression models were run to assess the determinants of language functioning and impairment. RESULTS The prevalence of LI was 22.7%. 46.6% of the variance of ECAS-Language scores remained unexplained, with only the ECAS-Executive positively predicting them (p < 0.001; η2 = 0.07). Similarly, only a lower score on the ECAS-Executive predicted a higher probability of a below cut-off ECAS-Language performance (p < 0.001). Spelling and Naming tasks were the major drivers of ECAS-Language performance. CONCLUSIONS This study suggests that, in non-demented ALS patients, LI occurs in ≈23% of cases, is significantly driven by executive dysfunction but, at the same time, partially independent of it and is not associated with other motor or non-motor features.
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Affiliation(s)
- Federica Solca
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Edoardo Nicolò Aiello
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- PhD Program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Silvia Torre
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Laura Carelli
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Roberta Ferrucci
- Aldo Ravelli Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, International Medical School, University of Milan, Milano, Italy
- ASST Santi Paolo e Carlo, San Paolo University Hospital, Milan, Italy
- IRCCS Ca' Granda Foundation Maggiore Policlinico Hospital, Milan, Italy
| | - Federico Verde
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari Center', Università degli Studi di Milano, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari Center', Università degli Studi di Milano, Milan, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari Center', Università degli Studi di Milano, Milan, Italy
| | - Alessia Monti
- Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Milan, Italy
| | - Barbara Poletti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
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10
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Kutlubaev MA, Caga J, Xu Y, Areprintseva DK, Pervushina EV, Kiernan MC. Apathy in amyotrophic lateral sclerosis: systematic review and meta-analysis of frequency, correlates, and outcomes. Amyotroph Lateral Scler Frontotemporal Degener 2023; 24:14-23. [PMID: 35352575 DOI: 10.1080/21678421.2022.2053721] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Objectives: To determine the frequency and correlates of apathy in amyotrophic lateral sclerosis (ALS) and its influence on the prognosis of the disease.Methods: Three databases were searched: MEDLINE, PubMed, and Google Scholar. Quantitative synthesis of the frequency of apathy in ALS was conducted using random effects in Stata (College Station, TX). Meta-regression and subgroup analyses were conducted to investigate the association between frequency of apathy in ALS and different covariates.Results: Fifty-two studies (51 cohorts) were included in the analysis. The pooled frequency of apathy in ALS was 25% (95% confidence interval (CI) 14-35%) according to the studies that used self-rated tools and 34% (95% CI 27-41%) according to studies that used informant-rated tools. The emergence of apathy was associated with cognitive decline and bulbar onset of the disease. There was no consistent relationship between apathy and disease stage or the severity of depression. Structural brain imaging studies established that ALS patients with apathy exhibited more prominent changes with structural and functional brain imaging particularly involving fronto-subcortical regions of the brain. Overall, apathy worsened the long-term prognosis of ALS.Discussion: Apathy affects up to a third of ALS patients аnd develops in the context of progressive neurodegeneration. Increased awareness and understanding of non-motor symptoms in ALS highlights the potential utility of apathy as an outcome measure in future clinical trial design.
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Affiliation(s)
| | - Jashelle Caga
- Brain & Mind Centre, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia and
| | - Ying Xu
- The George Institute for Global Health, Sydney, Australia
| | | | | | - Matthew C Kiernan
- Brain & Mind Centre, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia and
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11
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Qi JS, Su Q, Li T, Liu GW, Zhang YL, Guo JH, Wang ZJ, Wu MN. Agomelatine: a potential novel approach for the treatment of memory disorder in neurodegenerative disease. Neural Regen Res 2023; 18:727-733. [DOI: 10.4103/1673-5374.353479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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12
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Goutman SA, Hardiman O, Al-Chalabi A, Chió A, Savelieff MG, Kiernan MC, Feldman EL. Emerging insights into the complex genetics and pathophysiology of amyotrophic lateral sclerosis. Lancet Neurol 2022; 21:465-479. [PMID: 35334234 PMCID: PMC9513754 DOI: 10.1016/s1474-4422(21)00414-2] [Citation(s) in RCA: 152] [Impact Index Per Article: 76.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/21/2021] [Accepted: 11/15/2021] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis is a fatal neurodegenerative disease. The discovery of genes associated with amyotrophic lateral sclerosis, commencing with SOD1 in 1993, started fairly gradually. Recent advances in genetic technology have led to the rapid identification of multiple new genes associated with the disease, and to a new understanding of oligogenic and polygenic disease risk. The overlap of genes associated with amyotrophic lateral sclerosis with those of other neurodegenerative diseases is shedding light on the phenotypic spectrum of neurodegeneration, leading to a better understanding of genotype-phenotype correlations. A deepening knowledge of the genetic architecture is allowing the characterisation of the molecular steps caused by various mutations that converge on recurrent dysregulated pathways. Of crucial relevance, mutations associated with amyotrophic lateral sclerosis are amenable to novel gene-based therapeutic options, an approach in use for other neurological illnesses. Lastly, the exposome-the summation of lifetime environmental exposures-has emerged as an influential component for amyotrophic lateral sclerosis through the gene-time-environment hypothesis. Our improved understanding of all these aspects will lead to long-awaited therapies and the identification of modifiable risks factors.
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Affiliation(s)
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, and Department of Neurology, King's College London, London, UK
| | - Adriano Chió
- Rita Levi Montalcini Department of Neurosciences, University of Turin, Turin, Italy
| | | | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
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13
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Correa-Ghisays P, Sánchez-Ortí JV, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, Victor VM, Escribano-López I, Hernández-Mijares A, Vivas-Lalinde J, San-Martín C, Crespo-Facorro B, Tabarés-Seisdedos R. Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study. J Affect Disord 2022; 300:99-108. [PMID: 34965401 DOI: 10.1016/j.jad.2021.12.074] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/05/2021] [Accepted: 12/19/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Neurocognition impairments are critical factors in patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), and also in those with somatic diseases such as type 2 diabetes mellitus (T2DM). Intriguingly, these severe mental illnesses are associated with an increased co-occurrence of diabetes (direct comorbidity). This study sought to investigate the neurocognition and social functioning across T2DM, MDD, BD, and SZ using a transdiagnostic and longitudinal approach. METHODS A total of 165 participants, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HC), were assessed twice at a 1-year interval using a comprehensive, integrated test battery on neuropsychological and social functioning. RESULTS Common neurocognitive impairments in somatic and psychiatric disorders were identified, including deficits in short-term memory and cognitive reserve (p < 0.01, η²p=0.08-0.31). Social functioning impairments were observed in almost all the disorders (p < 0.0001; η²p=0.29-0.49). Transdiagnostic deficits remained stable across the 1-year follow-up (p < 0.001; η²p=0.13-0.43) and could accurately differentiate individuals with somatic and psychiatric disorders (χ² = 48.0, p < 0.0001). LIMITATIONS The initial sample size was small, and high experimental mortality was observed after follow-up for one year. CONCLUSIONS This longitudinal study provides evidence of some possible overlap in neurocognition deficits across somatic and psychiatric diagnostic categories, such as T2DM, MDD, BD, and SZ, which have high comorbidity. This overlap may be a result of shared genetic and environmental etiological factors. The findings open promising avenues for research on transdiagnostic phenotypes of neurocognition in these disorders, in addition to their biological bases.
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Affiliation(s)
- Patricia Correa-Ghisays
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Faculty of Psychology, University of Valencia, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain
| | - Joan Vicent Sánchez-Ortí
- TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Faculty of Psychology, University of Valencia, Valencia 46010, Spain
| | - Vicent Balanzá-Martínez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain; Unitat de Salut Mental de Catarroja, Valencia 46470, Spain
| | - Gabriel Selva-Vera
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Valencia 46100, Spain
| | | | - Victor M Victor
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain; Department of Physiology, University of Valencia, Valencia 46010, Spain
| | - Irene Escribano-López
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain
| | - Antonio Hernández-Mijares
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia 46017, Spain; Department of Medicine, University of Valencia, Valencia 46010, Spain
| | | | - Constanza San-Martín
- TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; Departament of Physioterapy, University of Valencia, Valencia 46010, Spain
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; Hospital Universitario Virgen del Roció-IBIS- University of Sevilla, Sevilla, Spain
| | - Rafael Tabarés-Seisdedos
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid 28029, Spain; TMAP - Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia 46010, Spain; INCLIVA - Health Research Institute, Valencia 46010, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Blasco-Ibáñez 17, Valencia 46010, Spain.
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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: 8.0] [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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Beswick E, Park E, Wong C, Mehta AR, Dakin R, Chandran S, Newton J, Carson A, Abrahams S, Pal S. A systematic review of neuropsychiatric and cognitive assessments used in clinical trials for amyotrophic lateral sclerosis. J Neurol 2020; 268:4510-4521. [PMID: 32910255 PMCID: PMC8563523 DOI: 10.1007/s00415-020-10203-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/27/2020] [Accepted: 08/29/2020] [Indexed: 02/07/2023]
Abstract
Background Up to 50% of people with amyotrophic lateral sclerosis (ALS) experience cognitive dysfunction, whilst depression and anxiety are reported in up to 44% and 33%, respectively. These symptoms impact on quality of life, and are associated with a poorer prognosis. Historically, outcomes in clinical trials have focused on the effect of candidate drugs on physical functioning. Methods We reviewed the past 25 years of clinical trials of investigative medicinal products in people with ALS, since the licensing of riluzole, and extracted data on frequency and type of assessment for neuropsychiatric symptoms and cognitive impairment. 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 31/10/2019. No language restrictions were applied. Outcome measures, exclusion criteria and assessment tool used were extracted. Results 216 trials, investigating 26,326 people with ALS, were reviewed. 35% assessed neuropsychiatric symptoms, and 22% assessed cognition, as Exclusion Criteria or Outcome Measures. 3% (n = 6) of trials assessed neuropsychiatric symptoms as a Secondary Outcome Measure, and 4% (n = 8) assessed cognition as Outcome Measures; only one trial included assessments for both cognition and neuropsychiatric symptoms as Outcome Measures. Three ALS-specific assessments were used in six trials. Conclusions Trials for people with ALS have neglected the importance of neuropsychiatric symptoms and cognitive impairment. Evaluation of these extra-motor features is essential to understanding the impact of candidate drugs on all symptoms of ALS. PROPSERO registration CRD42020175612. Electronic supplementary material The online version of this article (10.1007/s00415-020-10203-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Emily Beswick
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland
| | - Emily Park
- The School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, Scotland
| | - Charis Wong
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland
| | - Arpan R Mehta
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Rachel Dakin
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Judith Newton
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland
| | - Sharon Abrahams
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland.,Human Cognitive Neurosciences, Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, Scotland
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland. .,Anne Rowling Regenerative Neurology Clinic, 49 Little France Crescent, EH16 4SB, Edinburgh, UK. .,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland.
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