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Bjelica B, Bartels MB, Hesebeck-Brinckmann J, Petri S. Non-motor symptoms in patients with amyotrophic lateral sclerosis: current state and future directions. J Neurol 2024:10.1007/s00415-024-12455-5. [PMID: 38805053 DOI: 10.1007/s00415-024-12455-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the progressive degeneration of both upper and lower motor neurons. A defining histopathological feature in approximately 97% of all ALS cases is the accumulation of phosphorylated trans-activation response (TAR) DNA-binding protein 43 protein (pTDP-43) aggregates in the cytoplasm of neurons and glial cells within the central nervous system. Traditionally, it was believed that the accumulation of TDP-43 aggregates and subsequent neurodegeneration primarily occurs in motor neurons. However, contemporary evidence suggests that as the disease progresses, other systems and brain regions are also affected. Despite this, there has been a limited number of clinical studies assessing the non-motor symptoms in ALS patients. These studies often employ various outcome measures, resulting in a wide range of reported frequencies of non-motor symptoms in ALS patients. The importance of assessing the non-motor symptoms reflects in a fact that they have a significant impact on patients' quality of life, yet they frequently go underdiagnosed and unreported during clinical evaluations. This review aims to provide an up-to-date overview of the current knowledge concerning non-motor symptoms in ALS. Furthermore, we address their diagnosis and treatment in everyday clinical practice.
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Affiliation(s)
- Bogdan Bjelica
- Department of Neurology, Hannover Medical School, 1, Carl-Neuberg-Strasse, 30625, Hannover, Germany.
| | - Maj-Britt Bartels
- Precision Neurology of Neuromuscular and Motoneuron Diseases, University of Luebeck, Lübeck, Germany
| | - Jasper Hesebeck-Brinckmann
- Neurology Department, Division for Neurodegenerative Diseases, University Medicine Mannheim, Heidelberg University, Mannheim Center for Translational Medicine, Mannheim, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, 1, Carl-Neuberg-Strasse, 30625, Hannover, Germany
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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 2024:10.1007/s00415-024-12435-9. [PMID: 38802624 DOI: 10.1007/s00415-024-12435-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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Holdom CJ, Janse van Mantgem MR, He J, Howe SL, McCombe PA, Fan D, van den Berg LH, Henderson RD, van Eijk R, Steyn FJ, Ngo ST. Variation in Resting Metabolic Rate Affects Identification of Metabolic Change in Geographically Distinct Cohorts of Patients With ALS. Neurology 2024; 102:e208117. [PMID: 38350046 DOI: 10.1212/wnl.0000000000208117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/16/2023] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Altered metabolism is observed in amyotrophic lateral sclerosis (ALS). However, without a standardized methodology to define metabolic changes, our understanding of factors contributing to and the clinical significance of altered metabolism in ALS is limited. METHODS We aimed to determine how geographic variation in metabolic rates influences estimates and accuracy of predicted resting energy expenditure (REE) in patients with ALS and controls, while validating the effectiveness of cohort-specific approaches in predicting altered metabolic rate in ALS. Participants from 3 geographically distinct sites across Australia, China, and the Netherlands underwent REE assessments, and we considered 22 unique equations for estimating REE. Analyses evaluated equation performance and the influence of demographics on metabolic status. Comparisons were made using standardized and local reference values to identify metabolic alterations. RESULTS 606 participants were included from Australia (patients with ALS: 140, controls: 154), the Netherlands (patients with ALS: 79, controls: 37) and China (patients with ALS: 67, controls: 129). Measured REE was variable across geographic cohorts, with fat-free mass contributing to this variation across all patients (p = 0.002 to p < 0.001). Of the 22 predication equations assessed, the Sabounchi Structure 4 (S4) equation performed relatively well across all control cohorts. Use of prediction thresholds generated using data from Australian controls generally increased the prevalence of hypermetabolism in Chinese (55%, [43%-67%]) and Dutch (44%, [33%-55%]) cases when compared with Australian cases (30%, [22%-38%]). Adjustment of prediction thresholds to consider geographically distinct characteristics from matched control cohorts resulted in a decrease in the proportion of hypermetabolic cases in Chinese and Dutch cohorts (25%-31% vs 55% and 20%-34% vs 43%-44%, respectively), and increased prevalence of hypometabolism in Dutch cases with ALS (1% to 8%-10%). DISCUSSION The identification of hypermetabolism in ALS is influenced by the formulae and demographic-specific prediction thresholds used for defining alterations in metabolic rate. A consensus approach is needed for identification of metabolic changes in ALS and will facilitate improved understanding of the cause and clinical significance of this in ALS.
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Affiliation(s)
- Cory J Holdom
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Mark R Janse van Mantgem
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Ji He
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Stephanie L Howe
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Pamela A McCombe
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Dongsheng Fan
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Leonard H van den Berg
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Robert D Henderson
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Ruben van Eijk
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Frederik J Steyn
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
| | - Shyuan T Ngo
- From the Australian Institute for Bioengineering and Nanotechnology (C.J.H., S.L.H., S.T.N.), The University of Queensland, Australia; Department of Neurology (M.R.J.M., R.P.A.E., L.H.B.), UMC Utrecht Brain Centre, University Medical Centre Utrecht, The Netherlands; Department of Neurology (D.F.), Peking University Third Hospital; Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases (D.F.), China; Centre for Clinical Research (P.A.M., R.D.H., F.J.S., S.T.N.), The University of Queensland; Department of Neurology (P.A.M., R.D.H., F.J.S., S.T.N.), Royal Brisbane and Women's Hospital, Australia; Biostatistics and Research Support (R.P.A.E.), Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands; and School of Biomedical Sciences (F.J.S.), The University of Queensland, Australia
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Tzeplaeff L, Jürs AV, Wohnrade C, Demleitner AF. Unraveling the Heterogeneity of ALS-A Call to Redefine Patient Stratification for Better Outcomes in Clinical Trials. Cells 2024; 13:452. [PMID: 38474416 PMCID: PMC10930688 DOI: 10.3390/cells13050452] [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: 01/31/2024] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
Despite tremendous efforts in basic research and a growing number of clinical trials aiming to find effective treatments, amyotrophic lateral sclerosis (ALS) remains an incurable disease. One possible reason for the lack of effective causative treatment options is that ALS may not be a single disease entity but rather may represent a clinical syndrome, with diverse genetic and molecular causes, histopathological alterations, and subsequent clinical presentations contributing to its complexity and variability among individuals. Defining a way to subcluster ALS patients is becoming a central endeavor in the field. Identifying specific clusters and applying them in clinical trials could enable the development of more effective treatments. This review aims to summarize the available data on heterogeneity in ALS with regard to various aspects, e.g., clinical, genetic, and molecular.
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Affiliation(s)
- Laura Tzeplaeff
- Department of Neurology, Rechts der Isar Hospital, Technical University of Munich, 81675 München, Germany
| | - Alexandra V. Jürs
- Translational Neurodegeneration Section “Albrecht Kossel”, Department of Neurology, University Medical Center Rostock, 18057 Rostock, Germany
| | - Camilla Wohnrade
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany;
| | - Antonia F. Demleitner
- Department of Neurology, Rechts der Isar Hospital, Technical University of Munich, 81675 München, Germany
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Lee I, Mitsumoto H, Lee S, Kasarskis E, Rosenbaum M, Factor-Litvak P, Nieves JW. Higher Glycemic Index and Glycemic Load Diet Is Associated with Slower Disease Progression in Amyotrophic Lateral Sclerosis. Ann Neurol 2024; 95:217-229. [PMID: 37975189 PMCID: PMC10842093 DOI: 10.1002/ana.26825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 09/23/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE High-caloric diets may slow the progression of amyotrophic lateral sclerosis; however, key macronutrients have not been identified. We examined whether dietary macronutrients are associated with the rate of progression and length of survival among the prospective cohort study participants. METHODS Participants with a confirmed diagnosis of sporadic amyotrophic lateral sclerosis enrolled in the Multicenter Cohort Study of Oxidative Stress were included (n = 304). We evaluated baseline macronutrient intake assessed by food frequency questionnaire in relation to change in revised amyotrophic lateral sclerosis functional rating scale total-score, and tracheostomy-free survival using linear regression and Cox proportional hazard models. Baseline age, sex, disease duration, diagnostic certainty, body mass index, bulbar onset, revised amyotrophic lateral sclerosis functional rating scale total-score, and forced vital capacity were included as covariates. RESULTS Baseline higher glycemic index and load were associated with less decline of revised amyotrophic lateral sclerosis functional rating scale total score at 3-month follow-up (β = -0.13, 95% CI -0.2, -0.01, p = 0.03) and (β = -0.01, 95% CI -0.03, -0.0007, p = 0.04), respectively. Glycemic index second-quartile, third-quartile, and fourth-quartile groups were associated with less decline at 3 months by 1.9 (95% CI -3.3, -0.5, p = 0.008), 2.0 (95% CI -3.3, -0.6, p = 0.006), and 1.6 (95% CI -3.0, -0.2, p = 0.03) points compared with the first-quartile group; the glycemic load fourth-quartile group had 1.4 points less decline compared with the first-quartile group (95% CI -2.8, 0.1, p = 0.07). Higher glycemic index was associated with a trend toward longer tracheostomy-free survival (HR 0.97, 95% CI 0.93, 1.00, p = 0.07). INTERPRETATION Higher dietary glycemic index and load are associated with slower disease progression in amyotrophic lateral sclerosis. ANN NEUROL 2024;95:217-229.
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Affiliation(s)
- Ikjae Lee
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University, New York, NY, USA
- Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA
| | - Edward Kasarskis
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Michael Rosenbaum
- Department of Pediatrics and Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Pam Factor-Litvak
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Jeri W Nieves
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
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Choi SJ, Yoon SH, Sung JJ, Lee JH. Association Between Fat Depletion and Prognosis of Amyotrophic Lateral Sclerosis: CT-Based Body Composition Analysis. Ann Neurol 2023; 94:1116-1125. [PMID: 37612833 DOI: 10.1002/ana.26775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/20/2023] [Accepted: 08/21/2023] [Indexed: 08/25/2023]
Abstract
OBJECTIVE The purpose of this study was to present the results of our investigation of the prognostic value of adipopenia and sarcopenia in patients with amyotrophic lateral sclerosis (ALS). METHODS Consecutive patients with ALS with abdominal computed tomography (CT) were retrospectively identified at a single tertiary hospital between January 2010 and July 2021. Deep learning-based volumetric CT body composition analysis software was used to obtain abdominal waist fat volume, fat attenuation, and skeletal muscle area at the L3 level, then normalized to the fat volume index (FVI) and skeletal muscle index (SMI). Adipopenia and sarcopenia were defined as the sex-specific lowest quartile and SMI reference values, respectively. The associations of CT-derived body composition parameters with clinical variables, such as body mass index (BMI) and creatinine, were evaluated by Pearson correlation analyses, and associations with survival were assessed using the multivariable Cox regression analysis. RESULTS Eighty subjects (40 men, 65.5 ± 9.4 years of age) were investigated (median interval between disease onset and CT examination = 25 months). The mean BMI at the CT examination was 20.3 ± 4.3 kg/m2 . The BMI showed a positive correlation with both FVI (R = 0.70, p < 0.001) and SMI (R = 0.63, p < 0.001), and the serum creatinine level was associated with SMI (R = 0.68, p < 0.001). After adjusting for sex, age, King's stage, BMI, creatinine, progression rate, and sarcopenia, adipopenia was associated with shorter survival (hazard ratio [HR] = 5.94, 95% confidence interval [CI] = 1.01, 35.0, p = 0.049). In a subgroup analysis for subjects with nutritional failure (stage 4a), the HR of adipopenia was 15.1 (95% CI = 2.45, 93.4, p = 0.003). INTERPRETATION Deep learning-based CT-derived adipopenia in patients with ALS is an independent poor prognostic factor for survival. ANN NEUROL 2023;94:1116-1125.
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Affiliation(s)
- Seok-Jin Choi
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
- Center for Hospital Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soon Ho Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jung-Joon Sung
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jong Hyuk Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
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Roscoe S, Skinner E, Kabucho Kibirige E, Childs C, Weekes CE, Wootton S, Allen S, McDermott C, Stavroulakis T. A critical view of the use of predictive energy equations for the identification of hypermetabolism in motor neuron disease: A pilot study. Clin Nutr ESPEN 2023; 57:739-748. [PMID: 37739732 DOI: 10.1016/j.clnesp.2023.08.017] [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: 12/20/2022] [Revised: 07/21/2023] [Accepted: 08/15/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND AND AIMS People living with motor neuron disease (MND) frequently struggle to consume an optimal caloric intake. Often compounded by hypermetabolism, this can lead to dysregulated energy homeostasis, prompting the onset of malnutrition and associated weight loss. This is associated with a poorer prognosis and reduced survival. It is therefore important to establish appropriate nutritional goals to ensure adequate energy intake. This is best done by measuring resting energy expenditure (mREE) using indirect calorimetry. However, indirect calorimetry is not widely available in clinical practice, thus dietitians caring for people living with MND frequently use energy equations to predict resting energy expenditure (pREE) and estimate caloric requirements. Energy prediction equations have previously been shown to underestimate resting energy expenditure in over two-thirds of people living with MND. Hypermetabolism has previously been identified using the metabolic index. The metabolic index is a ratio of mREE to pREE, whereby an increase of mREE by ≥110% indicates hypermetabolism. We aim to critically reflect on the use of the Harris-Benedict (1919) and Henry (2005) energy prediction equations to inform a metabolic index to indicate hypermetabolism in people living with MND. METHODS mREE was derived using VO₂ and VCO₂ measurements from a GEMNutrition indirect calorimeter. pREE was estimated by Harris-Benedict (HB) (1919), Henry (2005) and kcal/kg/day predictive energy equations. The REE variation, described as the percentage difference between mREE and pREE, determined the accuracy of pREE ([pREE-mREE]/mREE) x 100), with accuracy defined as ≤ ± 10%. A metabolic index threshold of ≥110% was used to classify hypermetabolism. All resting energy expenditure data are presented as kcal/24hr. RESULTS Sixteen people living with MND were included in the analysis. The mean mREE was 1642 kcal/24hr ranging between 1110 and 2015 kcal/24hr. When REE variation was analysed for the entire cohort, the HB, Henry and kcal/kg/day equations all overestimated REE, but remained within the accuracy threshold (mean values were 2.81% for HB, 4.51% for Henry and 8.00% for kcal/kg/day). Conversely, inter-individual REE variation within the cohort revealed HB and Henry equations both inaccurately reflected mREE for 68.7% of participants, with kcal/kg/day inaccurately reflecting 41.7% of participants. Whilst the overall cohort was not classified as hypermetabolic (mean values were 101.04% for HB, 98.62% for Henry and 95.64% for kcal/kg/day), the metabolic index ranges within the cohort were 70.75%-141.58% for HB, 72.82%-127.69% for Henry and 66.09%-131.58% for kcal/kg/day, indicating both over- and under-estimation of REE by these equations. We have shown that pREE correlates with body weight (kg), whereby the lighter the individual, the greater the underprediction of REE. When applied to the metabolic index, this underprediction biases towards the classification of hypermetabolism in lighter individuals. CONCLUSION Whilst predicting resting energy expenditure using the HB, Henry or kcal/kg/day equations accurately reflects derived mREE at group level, these equations are not suitable for informing resting energy expenditure and classification of hypermetabolism when applied to individuals in clinical practice.
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Affiliation(s)
- Sarah Roscoe
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
| | - Ellie Skinner
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
| | - Elaine Kabucho Kibirige
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
| | - Charmaine Childs
- College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, UK.
| | - C Elizabeth Weekes
- Department of Nutrition & Dietetics, Guy's & St Thomas' NHS Foundation Trust, London, UK.
| | - Stephen Wootton
- Faculty of Medicine, University of Southampton, Southampton, UK; Southampton NIHR Biomedical Research Centre, University Hospital Southampton, Southampton, UK.
| | - Scott Allen
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
| | - Christopher McDermott
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
| | - Theocharis Stavroulakis
- Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield, UK.
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Berlowitz DJ, Mathers S, Hutchinson K, Hogden A, Carey KA, Graco M, Whelan BM, Charania S, Steyn F, Allcroft P, Crook A, Sheers NL. The complexity of multidisciplinary respiratory care in amyotrophic lateral sclerosis. Breathe (Sheff) 2023; 19:220269. [PMID: 37830099 PMCID: PMC10567075 DOI: 10.1183/20734735.0269-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/20/2023] [Indexed: 10/14/2023] Open
Abstract
Motor neurone disease/amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder with no known cure, where death is usually secondary to progressive respiratory failure. Assisting people with ALS through their disease journey is complex and supported by clinics that provide comprehensive multidisciplinary care (MDC). This review aims to apply both a respiratory and a complexity lens to the key roles and areas of practice within the MDC model in ALS. Models of noninvasive ventilation care, and considerations in the provision of palliative therapy, respiratory support, and speech and language therapy are discussed. The impact on people living with ALS of both inequitable funding models and the complexity of clinical care decisions are illustrated using case vignettes. Considerations of the impact of emerging antisense and gene modifying therapies on MDC challenges are also highlighted. The review seeks to illustrate how MDC members contribute to collective decision-making in ALS, how the sum of the parts is greater than any individual care component or health professional, and that the MDC per se adds value to the person living with ALS. Through this approach we hope to support clinicians to navigate the space between what are minimum, guideline-driven, standards of care and what excellent, person-centred ALS care that fully embraces complexity could be. Educational aims To highlight the complexities surrounding respiratory care in ALS.To alert clinicians to the risk that complexity of ALS care may modify the effectiveness of any specific, evidence-based therapy for ALS.To describe the importance of person-centred care and shared decision-making in optimising care in ALS.
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Affiliation(s)
- David J. Berlowitz
- The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Heidelberg, Australia
- Department of Physiotherapy, Austin Health, Heidelberg, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Australia
| | - Susan Mathers
- Calvary Health Care Bethlehem, Caulfield South, Australia
- School of Clinical Sciences, Monash University, Clayton, Australia
| | - Karen Hutchinson
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Central Coast Local Health District, Gosford, Australia
| | - Anne Hogden
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Kate A. Carey
- The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Heidelberg, Australia
| | - Marnie Graco
- The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Heidelberg, Australia
| | - Brooke-Mai Whelan
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
| | - Salma Charania
- Motor Neurone Disease Association of Queensland, Oxley, Australia
| | - Frederik Steyn
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Peter Allcroft
- Southern Adelaide Palliative Services, Flinders Medical Centre, Bedford Park, Australia
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
| | - Ashley Crook
- Graduate School of Health, University of Technology Sydney, Chippendale, Australia
- Centre for MND Research and Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| | - Nicole L. Sheers
- The University of Melbourne, Parkville, Australia
- Institute for Breathing and Sleep, Heidelberg, Australia
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9
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Ludolph A, Dupuis L, Kasarskis E, Steyn F, Ngo S, McDermott C. Nutritional and metabolic factors in amyotrophic lateral sclerosis. Nat Rev Neurol 2023; 19:511-524. [PMID: 37500993 DOI: 10.1038/s41582-023-00845-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/29/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disease that is classically thought to impact the motor system. Over the past 20 years, research has started to consider the contribution of non-motor symptoms and features of the disease, and how they might affect ALS prognosis. Of the non-motor features of the disease, nutritional status (for example, malnutrition) and metabolic balance (for example, weight loss and hypermetabolism) have been consistently shown to contribute to more rapid disease progression and/or earlier death. Several complex cellular changes observed in ALS, including mitochondrial dysfunction, are also starting to be shown to contribute to bioenergetic failure. The resulting energy depletion in high energy demanding neurons makes them sensitive to apoptosis. Given that nutritional and metabolic stressors at the whole-body and cellular level can impact the capacity to maintain optimal function, these factors present avenues through which we can identify novel targets for treatment in ALS. Several clinical trials are now underway evaluating the effectiveness of modifying energy balance in ALS, making this article timely in reviewing the evidence base for metabolic and nutritional interventions.
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Affiliation(s)
- Albert Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Site Ulm, Ulm, Germany
| | - Luc Dupuis
- Université de Strasbourg, Inserm, Mécanismes Centraux et Périphériques de la Neurodégénérescence, UMR-S1118, Centre de Recherches en Biomédecine, Strasbourg, France
| | - Edward Kasarskis
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Frederik Steyn
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Shyuan Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
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Matsuda C, Shimizu T, Nakayama Y, Haraguchi M, Hakuta C, Hidaka R, Nishiyama A, Numayama T. Clinical relevance of macroglossia to disease progression in ventilation dependent patients with advanced ALS. Neurol Sci 2023; 44:2025-2031. [PMID: 36715782 DOI: 10.1007/s10072-023-06646-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/24/2023] [Indexed: 01/31/2023]
Abstract
BACKGROUND Macroglossia is one of the clinical signs that emerges in patients with amyotrophic lateral sclerosis (ALS) who are undergoing invasive ventilation. OBJECTIVE We aimed to investigate the relationship between the progression of macroglossia and the clinical characteristics during the advanced stages of ALS. METHODS Forty-one patients with ALS using invasive ventilation with tracheostomy were prospectively followed over a 3-year period. We evaluated the prevalence of macroglossia, motor disabilities including oral function, communication ability (communication stage I to V) as a marker of disease progression, and nutritional factors. We analyzed the potential factors affecting the progression of macroglossia using a multivariate logistic analysis. RESULTS The number of patients with macroglossia was increased during the follow-up (from 24.4 to 53.7%), while the communication stage progressed from 2.6 in average (SD 1.7) to 3.5 (1.4). During the study, body weight increased, while energy intake decreased, suggesting progressive hypometabolism. Eight patients had newly developed macroglossia during the study and showed greater progression of communication impairment than those without macroglossia. Multivariate logistic regression analysis showed that communication impairment was a factor associated with macroglossia. CONCLUSION Macroglossia in advanced ALS with invasive ventilation is associated with disease progression.
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Affiliation(s)
- Chiharu Matsuda
- Unit for Intractable Disease Nursing Care, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Toshio Shimizu
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, 2-6-1 Musashidai, Fuchu, Tokyo, 183-0042, Japan.
| | - Yuki Nakayama
- Unit for Intractable Disease Nursing Care, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Michiko Haraguchi
- Unit for Intractable Disease Nursing Care, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Chiyoko Hakuta
- Department of Oral Health Sciences for Community Welfare, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Rena Hidaka
- Department of Oral Health Sciences for Community Welfare, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Akira Nishiyama
- Department of Orofacial Pain Management, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takaya Numayama
- Department of Neurology, Sayama Neurological Hospital, Saitama, Japan
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11
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Park HR, Yang EJ. Combined Treatment with Herbal Medicine and Drug Ameliorates Inflammation and Metabolic Abnormalities in the Liver of an Amyotrophic Lateral Sclerosis Mouse Model. Antioxidants (Basel) 2022; 11:antiox11010173. [PMID: 35052677 PMCID: PMC8773307 DOI: 10.3390/antiox11010173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/09/2022] [Accepted: 01/12/2022] [Indexed: 12/13/2022] Open
Abstract
To date, no effective drugs exist for amyotrophic lateral sclerosis (ALS), although riluzole (RZ) and edaravone have been approved for treatment. We previously reported that Bojungikgi-tang (BJIGT) improved motor activity through anti-inflammatory effects in the muscle and spinal cord of hSOD1G93A mice. Therefore, whether combined treatment with BJIGT and RZ synergistically affects liver function in hSOD1G93A mice was investigated. Two-month-old male hSOD1G93A mice were treated with BJIGT (1 mg/g) and RZ (8 μg/g) administered orally for 5 weeks. Drug metabolism and liver function tests of serum and liver homogenates were conducted. mRNA expression levels of cytochrome P450 (CYP) isozymes, inflammatory cytokines, metabolic factors, and mitochondrial oxidative phosphorylation (OXPHOS) subunits were examined using qPCR and Western blotting. Combined administration of BJIGT and RZ did not alter mRNA expression levels of drug-metabolism-related isozymes (CYP1A2 and CYP3A4) but significantly decreased the activity of liver-function-related enzymes (AST, ALT, ALP, and LDH). Increased expression of inflammatory cytokines (IL-1β, TNF-α, and IL-6) and of intracellular stress-related proteins (Bax, AMPKα, JNK, and p38) was reduced by the combined treatment in hSOD1G93A mice compared to that in control mice. Combined administration reduced the mRNA expression of metabolism-related factors and the expression of OXPHOS subunits. Elevated ATP levels and mitochondrial-fusion-associated protein were decreased after co-administration. Co-administration of BJIGT and RZ did not cause liver damage or toxicity but rather restored liver function in hSOD1G93A mice. This suggests that this combination can be considered a candidate therapeutic agent for ALS.
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