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Garnier M, Camdessanché JP, Cassereau J, Codron P. From suspicion to diagnosis: exploration strategy for suspected amyotrophic lateral sclerosis. Ann Med 2024; 56:2398199. [PMID: 39233624 PMCID: PMC11378651 DOI: 10.1080/07853890.2024.2398199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/21/2024] [Accepted: 05/10/2024] [Indexed: 09/06/2024] Open
Abstract
The diagnosis of amyotrophic lateral sclerosis (ALS) is based on evidence of upper and lower motor neuron degeneration in the bulbar, cervical, thoracic, and lumbar regions in a patient with progressive motor weakness, in the absence of differential diagnosis. Despite these well-defined criteria, ALS can be difficult to diagnose, given the wide variety of clinical phenotypes. Indeed, the central or peripheral location of the disease varies with a spectrum ranging from predominantly central to exclusively peripheral, symptoms can be extensive or limited to the limbs, bulbar area or respiratory muscles, and the duration of the disease may range from a few months to several decades. In the absence of a specific test, the diagnostic strategy relies on clinical, electrophysiological, biological and radiological investigations to confirm the disease and exclude ALS mimics. The main challenge is to establish a diagnosis based on robust clinical and paraclinical evidence without delaying treatment initiation by increasing the number of additional tests. This approach requires a thorough knowledge of the phenotypes of ALS and its main differential diagnoses.
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Affiliation(s)
| | | | - Julien Cassereau
- CRMR SLA, CHU d'Angers, Angers, France
- Inserm U1083-CNRS 6015, SFR ICAT, Université d'Angers, Angers, France
| | - Philippe Codron
- CRMR SLA, CHU d'Angers, Angers, France
- Inserm U1083-CNRS 6015, SFR ICAT, Université d'Angers, Angers, France
- Neurobiologie et Neuropathologie, CHU d'Angers, Angers, France
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2
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Roscoe SA, Allen SP, McDermott CJ, Stavroulakis T. Mapping the Evidence for Measuring Energy Expenditure and Indicating Hypermetabolism in Motor Neuron Disease: A Scoping Review. Nutr Rev 2024:nuae118. [PMID: 39375842 DOI: 10.1093/nutrit/nuae118] [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] [Indexed: 10/09/2024] Open
Abstract
OBJECTIVE To map the international methods used to measure energy expenditure of adults living with motor neuron disease (MND) and to highlight discrepancies when indicating hypermetabolism in the MND literature. BACKGROUND A decline in the nutritional status of patients is associated with exacerbated weight loss and shortened survival. Assessments of energy expenditure, using a variety of methods, are important to ensure an adequate energy intake to prevent malnutrition-associated weight loss. Assessments of energy expenditure are also commonly used to indicate hypermetabolism in MND, although these approaches may not be optimal. METHODS A protocol based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews Guidelines was developed. Three electronic databases (Medline [Ovid], CINAHL [EBSCO], and Web of Science) were exhaustively searched. Identified publications were systematically screened according to predefined PICOS eligibility criteria. The primary outcome was the identification of methods used to measure energy expenditure in MND. The secondary outcome was the identification of applications of energy expenditure assessments to indicate hypermetabolism in MND. RESULTS Thirty-two observational primary research publications were identified. Thirteen (40.6%) were longitudinal in design, with data on repeated measurements of energy expenditure presented in 3 (9.4%). Thirteen (40.6%) were case-control studies, of which 11 use a matched control group. Pulmonary function was used to assess eligibility in 10 publications. Energy expenditure was measured using indirect calorimetry (IC) in 31 studies. Discrepancies in the durations of fasted, measurement, and washout periods were observed. Of all included publications, 50% used assessments of resting energy expenditure to identify hypermetabolism. Bioelectrical impedance analysis was used to assess body composition alongside energy expenditure in 93.8% of publications. CONCLUSIONS Resting energy expenditure is most frequently measured using an open-circuit IC system. However, there is a lack of a standardized, validated protocol for the conduct and reporting of IC and metabolic status in patients with MND.
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Affiliation(s)
- Sarah A Roscoe
- Division of Neuroscience, School of Medicine and Population Health, Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, United Kingdom
| | - Scott P Allen
- Division of Neuroscience, School of Medicine and Population Health, Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, United Kingdom
| | - Christopher J McDermott
- Division of Neuroscience, School of Medicine and Population Health, Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, United Kingdom
| | - Theocharis Stavroulakis
- Division of Neuroscience, School of Medicine and Population Health, Sheffield Institute for Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, United Kingdom
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Guha A, Si Y, Smith R, Kazamel M, Jiang N, Smith KA, Thalacker-Mercer A, Singh BK, Ho R, Andrabi SA, Pereira JDTDS, Salgado JS, Agrawal M, Velic EH, King PH. The myokine FGF21 associates with enhanced survival in ALS and mitigates stress-induced cytotoxicity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.11.611693. [PMID: 39314333 PMCID: PMC11419072 DOI: 10.1101/2024.09.11.611693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is an age-related and fatal neurodegenerative disease characterized by progressive muscle weakness. There is marked heterogeneity in clinical presentation, progression, and pathophysiology with only modest treatments to slow disease progression. Molecular markers that provide insight into this heterogeneity are crucial for clinical management and identification of new therapeutic targets. In a prior muscle miRNA sequencing investigation, we identified altered FGF pathways in ALS muscle, leading us to investigate FGF21. We analyzed human ALS muscle biopsy samples and found a large increase in FGF21 expression with localization to atrophic myofibers and surrounding endomysium. A concomitant increase in FGF21 was detected in ALS spinal cords which correlated with muscle levels. FGF21 was increased in the SOD1G93A mouse beginning in presymptomatic stages. In parallel, there was dysregulation of the co-receptor, β-Klotho. Plasma FGF21 levels were increased and high levels correlated with slower disease progression, prolonged survival, and increased body mass index. In NSC-34 motor neurons and C2C12 muscle cells expressing SOD1G93A or exposed to oxidative stress, ectopic FGF21 mitigated loss of cell viability. In summary, FGF21 is a novel biomarker in ALS that correlates with slower disease progression and exerts trophic effects under conditions of cellular stress.
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Affiliation(s)
- Abhishek Guha
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Ying Si
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Reed Smith
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Mohamed Kazamel
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Nan Jiang
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
| | - Katherine A Smith
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Anna Thalacker-Mercer
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Brijesh K Singh
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ritchie Ho
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Shaida A Andrabi
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Joao D Tavares Da Silva Pereira
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Juliana S Salgado
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Manasi Agrawal
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Emina Horvat Velic
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Peter H King
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294
- Birmingham Veterans Affairs Medical Center, Birmingham, AL 35294
- Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL 35294
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL 35294
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Lee I, Garret MA, Wuu J, Harrington EA, Berry JD, Miller TM, Harms M, Benatar M, Shneider N. Body mass index is lower in asymptomatic C9orf72 expansion carriers but not in SOD1 pathogenic variant carriers compared to gene negatives. Amyotroph Lateral Scler Frontotemporal Degener 2024:1-8. [PMID: 39192497 DOI: 10.1080/21678421.2024.2396831] [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: 06/04/2024] [Revised: 08/11/2024] [Accepted: 08/17/2024] [Indexed: 08/29/2024]
Abstract
Objective: To examine the relationship between body mass index (BMI) and genotype among pre-symptomatic carriers of different pathogenic variants associated with amyotrophic lateral sclerosis. Methods: C9orf72+ carriers, SOD1+ carriers, and pathogenic variant negative controls (Gene-Negatives) were included from 3 largely independent cohorts: ALS Families Project (ALS-Families); Dominantly inherited ALS (DIALS); and Pre-symptomatic Familial ALS (Pre-fALS). First reported (ALS-Families) or measured (DIALS and Pre-fALS) weight and height were used to calculate BMI. Age at weight measurement, self-reported sex (male vs. female), and highest education (high school or below vs. college education vs. graduate school or above) were extracted. The associations between BMI and genotype in each cohort were examined with multivariable linear regression models, adjusted for age, sex, and education. Results: A total of 223 C9orf72+ carriers, 135 SOD1+ carriers, and 191 Gene-Negatives were included, deriving from ALS-Families (n = 114, median age 46, 37% male), DIALS (n = 221, median age 46, 30% male), and Pre-fALS (n = 214, median age 44, 39% male). Adjusting for age, sex, and education, the mean BMI of C9orf72+ carriers was lower than Gene-Negatives by 2.4 units (95% confidence interval [CI] = 0.3-4.6, p = 0.02) in ALS-Families; 2.7 units (95% CI = 0.9-4.4, p = 0.003) in DIALS; and 1.9 units (95% CI = 0.5-4.2, p = 0.12) in Pre-fALS. There were no significant differences in BMI between SOD1+ carriers and Gene-Negatives in any of the 3 cohorts. Conclusions: Compared to Gene-Negatives, average BMI is lower in asymptomatic C9orf72+ carriers across 3 cohorts while no significant difference was found between Gene-Negatives and SOD1+ carriers.
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Affiliation(s)
- Ikjae Lee
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Mark A Garret
- Sean M. Healey & AMG Center for ALS & the Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joanne Wuu
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - James D Berry
- Sean M. Healey & AMG Center for ALS & the Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy M Miller
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Matthew Harms
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Neil Shneider
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
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Moțățăianu A, Mănescu IB, Șerban G, Bărcuțean L, Ion V, Bălașa R, Andone S. Exploring the Role of Metabolic Hormones in Amyotrophic Lateral Sclerosis. Int J Mol Sci 2024; 25:5059. [PMID: 38791099 PMCID: PMC11121721 DOI: 10.3390/ijms25105059] [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: 03/26/2024] [Revised: 04/27/2024] [Accepted: 05/04/2024] [Indexed: 05/26/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by progressive loss of motor neurons. Emerging evidence suggests a potential link between metabolic dysregulation and ALS pathogenesis. This study aimed to investigate the relationship between metabolic hormones and disease progression in ALS patients. A cross-sectional study was conducted involving 44 ALS patients recruited from a tertiary care center. Serum levels of insulin, total amylin, C-peptide, active ghrelin, GIP (gastric inhibitory peptide), GLP-1 active (glucagon-like peptide-1), glucagon, PYY (peptide YY), PP (pancreatic polypeptide), leptin, interleukin-6, MCP-1 (monocyte chemoattractant protein-1), and TNFα (tumor necrosis factor alpha) were measured, and correlations with ALSFRS-R, evolution scores, and biomarkers were analyzed using Spearman correlation coefficients. Subgroup analyses based on ALS subtypes, progression pattern of disease, and disease progression rate patterns were performed. Significant correlations were observed between metabolic hormones and ALS evolution scores. Insulin and amylin exhibited strong correlations with disease progression and clinical functional outcomes, with insulin showing particularly robust associations. Other hormones such as C-peptide, leptin, and GLP-1 also showed correlations with ALS progression and functional status. Subgroup analyses revealed differences in hormone levels based on sex and disease evolution patterns, with male patients showing higher amylin and glucagon levels. ALS patients with slower disease progression exhibited elevated levels of amylin and insulin. Our findings suggest a potential role for metabolic hormones in modulating ALS progression and functional outcomes. Further research is needed to elucidate the underlying mechanisms and explore the therapeutic implications of targeting metabolic pathways in ALS management.
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Affiliation(s)
- Anca Moțățăianu
- Department of Neurology, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
- 1st Neurology Clinic, Mures County Clinical Emergency Hospital, 540136 Târgu Mureș, Romania
| | - Ion Bogdan Mănescu
- Department of Laboratory Medicine, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
| | - Georgiana Șerban
- Doctoral School, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
| | - Laura Bărcuțean
- Department of Neurology, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
- 1st Neurology Clinic, Mures County Clinical Emergency Hospital, 540136 Târgu Mureș, Romania
| | - Valentin Ion
- Faculty of Pharmacy, Department of Analytical Chemistry and Drug Analysis, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
- Drug Testing Laboratory, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
| | - Rodica Bălașa
- Department of Neurology, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
- 1st Neurology Clinic, Mures County Clinical Emergency Hospital, 540136 Târgu Mureș, Romania
| | - Sebastian Andone
- Department of Neurology, University of Medicine, Pharmacy, Science and Technology of Târgu Mureș ‘George Emil Palade’, 540142 Târgu Mureș, Romania
- 1st Neurology Clinic, Mures County Clinical Emergency Hospital, 540136 Târgu Mureș, Romania
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6
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Vaage AM, Benth JŠ, Meyer HE, Holmøy T, Nakken O. Premorbid lipid levels and long-term risk of ALS-a population-based cohort study. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:358-366. [PMID: 38117120 DOI: 10.1080/21678421.2023.2295455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVE To assess the temporal relationship between premorbid lipid levels and long-term amyotrophic lateral sclerosis (ALS) risk. METHODS From Norwegian cardiovascular health surveys (1974-2003), we collected information on total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glucose, and other cardiovascular risk factors. ALS incidence and mortality were identified through validated Norwegian health registries. The relation between premorbid lipid levels and ALS risk was assessed by Cox regression models. RESULTS Out of 640,066 study participants (51.5% females), 974 individuals (43.5% females) developed ALS. Mean follow-up time was 23.7 (SD 7.1) years among ALS cases. One mmol/l increase in LDL-C was associated with 6% increase in risk for ALS (hazard ratio 1.06 [95% CI: 1.01-1.09]). Higher levels of TC and TG were also associated with increased ALS risk, but only within the last 6-7 years prior to ALS diagnosis or death. No association between HDL-C and ALS risk was found. Adjusting for body mass index, birth cohort, smoking, and physical activity did not alter the results. CONCLUSIONS Higher levels of LDL-C are associated with increased ALS risk over 40 years later, compatible with a causal relationship. The temporal relationship between TG, TC, and ALS risk suggests that increased levels of these lipid biomarkers represent consequences of ALS.
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Affiliation(s)
- Anders Myhre Vaage
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jūratė Šaltytė Benth
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Haakon E Meyer
- Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway, and
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - Trygve Holmøy
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ola Nakken
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
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7
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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: 2] [Impact Index Per Article: 2.0] [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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8
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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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9
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Guo K, Figueroa-Romero C, Noureldein MH, Murdock BJ, Savelieff MG, Hur J, Goutman SA, Feldman EL. Gut microbiome correlates with plasma lipids in amyotrophic lateral sclerosis. Brain 2024; 147:665-679. [PMID: 37721161 PMCID: PMC10834248 DOI: 10.1093/brain/awad306] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/21/2023] [Accepted: 08/29/2023] [Indexed: 09/19/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a complex, fatal neurodegenerative disease. Disease pathophysiology is incompletely understood but evidence suggests gut dysbiosis occurs in ALS, linked to impaired gastrointestinal integrity, immune system dysregulation and altered metabolism. Gut microbiome and plasma metabolome have been separately investigated in ALS, but little is known about gut microbe-plasma metabolite correlations, which could identify robust disease biomarkers and potentially shed mechanistic insight. Here, gut microbiome changes were longitudinally profiled in ALS and correlated to plasma metabolome. Gut microbial structure at the phylum level differed in ALS versus control participants, with differential abundance of several distinct genera. Unsupervised clustering of microbe and metabolite levels identified modules, which differed significantly in ALS versus control participants. Network analysis found several prominent amplicon sequence variants strongly linked to a group of metabolites, primarily lipids. Similarly, identifying the features that contributed most to case versus control separation pinpointed several bacteria correlated to metabolites, predominantly lipids. Mendelian randomization indicated possible causality from specific lipids related to fatty acid and acylcarnitine metabolism. Overall, the results suggest ALS cases and controls differ in their gut microbiome, which correlates with plasma metabolites, particularly lipids, through specific genera. These findings have the potential to identify robust disease biomarkers and shed mechanistic insight into ALS.
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Affiliation(s)
- Kai Guo
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Claudia Figueroa-Romero
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mohamed H Noureldein
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Benjamin J Murdock
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Masha G Savelieff
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Junguk Hur
- Department of Biomedical Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI 48109, USA
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10
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Cunha-Oliveira T, Montezinho L, Simões RF, Carvalho M, Ferreiro E, Silva FSG. Mitochondria: A Promising Convergent Target for the Treatment of Amyotrophic Lateral Sclerosis. Cells 2024; 13:248. [PMID: 38334639 PMCID: PMC10854804 DOI: 10.3390/cells13030248] [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: 12/07/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive loss of motor neurons, for which current treatment options are limited. Recent studies have shed light on the role of mitochondria in ALS pathogenesis, making them an attractive therapeutic intervention target. This review contains a very comprehensive critical description of the involvement of mitochondria and mitochondria-mediated mechanisms in ALS. The review covers several key areas related to mitochondria in ALS, including impaired mitochondrial function, mitochondrial bioenergetics, reactive oxygen species, metabolic processes and energy metabolism, mitochondrial dynamics, turnover, autophagy and mitophagy, impaired mitochondrial transport, and apoptosis. This review also highlights preclinical and clinical studies that have investigated various mitochondria-targeted therapies for ALS treatment. These include strategies to improve mitochondrial function, such as the use of dichloroacetate, ketogenic and high-fat diets, acetyl-carnitine, and mitochondria-targeted antioxidants. Additionally, antiapoptotic agents, like the mPTP-targeting agents minocycline and rasagiline, are discussed. The paper aims to contribute to the identification of effective mitochondria-targeted therapies for ALS treatment by synthesizing the current understanding of the role of mitochondria in ALS pathogenesis and reviewing potential convergent therapeutic interventions. The complex interplay between mitochondria and the pathogenic mechanisms of ALS holds promise for the development of novel treatment strategies to combat this devastating disease.
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Affiliation(s)
- Teresa Cunha-Oliveira
- CNC—Center for Neuroscience and Cell Biology, CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Liliana Montezinho
- Center for Investigation Vasco da Gama (CIVG), Escola Universitária Vasco da Gama, 3020-210 Coimbra, Portugal;
| | - Rui F. Simões
- CNC—Center for Neuroscience and Cell Biology, CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Marcelo Carvalho
- CNC—Center for Neuroscience and Cell Biology, CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Elisabete Ferreiro
- CNC—Center for Neuroscience and Cell Biology, CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Filomena S. G. Silva
- CNC—Center for Neuroscience and Cell Biology, CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
- Mitotag Lda, Biocant Park, 3060-197 Cantanhede, Portugal
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11
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Marriott H, Kabiljo R, Hunt GP, Khleifat AA, Jones A, Troakes C, Pfaff AL, Quinn JP, Koks S, Dobson RJ, Schwab P, Al-Chalabi A, Iacoangeli A. Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data. Acta Neuropathol Commun 2023; 11:208. [PMID: 38129934 PMCID: PMC10734072 DOI: 10.1186/s40478-023-01686-8] [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: 09/19/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease landscapes. However, lack of independent validation in different populations and tissue samples have greatly limited their use in clinical and research settings. We overcame these issues by performing hierarchical clustering on the 5000 most variably expressed autosomal genes from motor cortex expression data of people with sporadic ALS from the KCL BrainBank (N = 112). Three molecular phenotypes linked to ALS pathogenesis were identified: synaptic and neuropeptide signalling, oxidative stress and apoptosis, and neuroinflammation. Cluster validation was achieved by applying linear discriminant analysis models to cases from TargetALS US motor cortex (N = 93), as well as Italian (N = 15) and Dutch (N = 397) blood expression datasets, for which there was a high assignment probability (80-90%) for each molecular subtype. The ALS and motor cortex specificity of the expression signatures were tested by mapping KCL BrainBank controls (N = 59), and occipital cortex (N = 45) and cerebellum (N = 123) samples from TargetALS to each cluster, before constructing case-control and motor cortex-region logistic regression classifiers. We found that the signatures were not only able to distinguish people with ALS from controls (AUC 0.88 ± 0.10), but also reflect the motor cortex-based disease process, as there was perfect discrimination between motor cortex and the other brain regions. Cell types known to be involved in the biological processes of each molecular phenotype were found in higher proportions, reinforcing their biological interpretation. Phenotype analysis revealed distinct cluster-related outcomes in both motor cortex datasets, relating to disease onset and progression-related measures. Our results support the hypothesis that different mechanisms underpin ALS pathogenesis in subgroups of patients and demonstrate potential for the development of personalised treatment approaches. Our method is available for the scientific and clinical community at https://alsgeclustering.er.kcl.ac.uk .
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Affiliation(s)
- Heather Marriott
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Renata Kabiljo
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Guy P Hunt
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
| | - Ashley Jones
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
| | - Claire Troakes
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Abigail L Pfaff
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - John P Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK
| | - Sulev Koks
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Richard J Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- NIHR Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, UK
| | - Patrick Schwab
- GlaxoSmithKline, Artificial Intelligence and Machine Learning, Durham, NC, USA
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- King's College Hospital, London, SE5 9RS, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK.
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
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12
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Santiago JA, Karthikeyan M, Lackey M, Villavicencio D, Potashkin JA. Diabetes: a tipping point in neurodegenerative diseases. Trends Mol Med 2023; 29:1029-1044. [PMID: 37827904 PMCID: PMC10844978 DOI: 10.1016/j.molmed.2023.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 10/14/2023]
Abstract
Diabetes is associated with an increased risk and progression of Alzheimer's (AD) and Parkinson's (PD) diseases. Conversely, diabetes may confer neuroprotection against amyotrophic lateral sclerosis (ALS). It has been posited that perturbations in glucose and insulin regulation, cholesterol metabolism, and mitochondrial bioenergetics defects may underlie the molecular underpinnings of diabetes effects on the brain. Nevertheless, the precise molecular mechanisms remain elusive. Here, we discuss the evidence from molecular, epidemiological, and clinical studies investigating the impact of diabetes on neurodegeneration and highlight shared dysregulated pathways between these complex comorbidities. We also discuss promising antidiabetic drugs, molecular diagnostics currently in clinical trials, and outstanding questions and challenges for future pursuit.
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Affiliation(s)
| | | | | | | | - Judith A Potashkin
- Center for Neurodegenerative Diseases and Therapeutics, Cellular and Molecular Pharmacology Department, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
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13
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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: 2] [Impact Index Per Article: 2.0] [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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14
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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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15
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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: 10] [Impact Index Per Article: 10.0] [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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16
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Maruyama T, Tanabe S, Uyeda A, Suzuki T, Muramatsu R. Free fatty acids support oligodendrocyte survival in a mouse model of amyotrophic lateral sclerosis. Front Cell Neurosci 2023; 17:1081190. [PMID: 37252191 PMCID: PMC10213402 DOI: 10.3389/fncel.2023.1081190] [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: 10/27/2022] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the white matter degeneration. Although changes in blood lipids are involved in the pathogenesis of neurological diseases, the pathological role of blood lipids in ALS remains unclear. Methods and results We performed lipidome analysis on the plasma of ALS model mice, mutant superoxide dismutase 1 (SOD1G93A) mice, and found that the concentration of free fatty acids (FFAs), including oleic acid (OA) and linoleic acid (LA), decreased prior to disease onset. An in vitro study revealed that OA and LA directly inhibited glutamate-induced oligodendrocytes cell death via free fatty acid receptor 1 (FFAR1). A cocktail containing OA/LA suppressed oligodendrocyte cell death in the spinal cord of SOD1G93A mice. Discussion These results suggested that the reduction of FFAs in the plasma is a pathogenic biomarker for ALS in the early stages, and supplying a deficiency in FFAs is a potential therapeutic approach for ALS by preventing oligodendrocyte cell death.
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Affiliation(s)
- Takashi Maruyama
- Department of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Pharmacoscience, Graduate School of Pharmaceutical Sciences, Tokyo University of Science, Chiba, Japan
| | - Shogo Tanabe
- Department of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Akiko Uyeda
- Department of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Tatsunori Suzuki
- Department of Pharmacoscience, Graduate School of Pharmaceutical Sciences, Tokyo University of Science, Chiba, Japan
- Department of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Tokyo University of Science, Chiba, Japan
| | - Rieko Muramatsu
- Department of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
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17
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Goutman SA, Boss J, Iyer G, Habra H, Savelieff MG, Karnovsky A, Mukherjee B, Feldman EL. Body mass index associates with amyotrophic lateral sclerosis survival and metabolomic profiles. Muscle Nerve 2023; 67:208-216. [PMID: 36321729 PMCID: PMC9957813 DOI: 10.1002/mus.27744] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 10/25/2022] [Accepted: 10/29/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION/AIMS Body mass index (BMI) is linked to amyotrophic lateral sclerosis (ALS) risk and prognosis, but additional research is needed. The aim of this study was to identify whether and when historical changes in BMI occurred in ALS participants, how these longer term trajectories associated with survival, and whether metabolomic profiles provided insight into potential mechanisms. METHODS ALS and control participants self-reported body height and weight 10 (reference) and 5 years earlier, and at study entry (diagnosis for ALS participants). Generalized estimating equations evaluated differences in BMI trajectories between cases and controls. ALS survival was evaluated by BMI trajectory group using accelerated failure time models. BMI trajectories and survival associations were explored using published metabolomic profiling and correlation networks. RESULTS Ten-year BMI trends differed between ALS and controls, with BMI loss in the 5 years before diagnosis despite BMI gains 10 to 5 years beforehand in both groups. An overall 10-year drop in BMI associated with a 27.1% decrease in ALS survival (P = .010). Metabolomic networks in ALS participants showed dysregulation in sphingomyelin, bile acid, and plasmalogen subpathways. DISCUSSION ALS participants lost weight in the 5-year period before enrollment. BMI trajectories had three distinct groups and the group with significant weight loss in the past 10 years had the worst survival. Participants with a high BMI and increase in weight in the 10 years before symptom onset also had shorter survival. Certain metabolomics profiles were associated with the BMI trajectories. Replicating these findings in prospective cohorts is warranted.
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Affiliation(s)
- Stephen A Goutman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Jonathan Boss
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Gayatri Iyer
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Hani Habra
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Masha G Savelieff
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
| | - Alla Karnovsky
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, Michigan, USA
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18
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Barone M, Leo AD, de van der Schueren MAE. Malnutrition assessment by Global Leadership Initiative on Malnutrition criteria in patients with amyotrophic lateral sclerosis. Nutrition 2023; 109:111997. [PMID: 36905838 DOI: 10.1016/j.nut.2023.111997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/15/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023]
Abstract
Malnutrition can play an important prognostic role in terms of survival in patients with amyotrophic lateral sclerosis (ALS). In this clinical context, applying criteria defining malnutrition requires particular attention, especially in the initial stage of the disease. This article discusses the application of the most recent criteria used for the definition of malnutrition when applied to patients with ALS. Currently, the Global Leadership Initiative on Malnutrition (GLIM) criteria, which have received a worldwide consensus, are based on parameters such as unintentional weight loss, low body mass index (BMI), and reduced muscle mass (phenotypic criteria) in combination with reduced food intake and assimilation or inflammation and disease (etiologic criteria). However, as discussed in this review, the initial unintentional weight loss and the consequent BMI reduction could be attributed, at least in part, to muscle atrophy, which also alters the reliability of muscle mass assessment. Moreover, the condition of hypermetabolism, which is observed in up to 50% of these patients, may complicate the calculation of total energy requirements. Finally, it remains to be established if the presence of neuroinflammation can be considered a type of inflammatory process able to induce malnutrition in these patients. In conclusion, the monitoring of BMI, associated with body composition evaluation by bioimpedance measurement or specific formulas, could be a practicable approach to the diagnosis of malnutrition in patients with ALS. In addition, attention should be given to dietary intake (e.g., in patients with dysphagia) and excessive involuntary weight loss. On the other hand, as suggested by GLIM criteria, a single assessment of BMI resulting in <20 kg/m2 or <22 kg/m2 in patients aged <70 y and ≥70 y, respectively, should always be considered a sign of malnutrition.
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Affiliation(s)
- Michele Barone
- Gastroenterology Unit, Department of Emergency and Organ Transplantation, University "Aldo Moro" of Bari, Bari, Italy.
| | - Alfredo Di Leo
- Gastroenterology Unit, Department of Emergency and Organ Transplantation, University "Aldo Moro" of Bari, Bari, Italy
| | - Marian A E de van der Schueren
- Department of Nutrition, Dietetics and Lifestyle, HAN University of Applied Sciences, School of Allied Health, Nijmegen, the Netherlands; Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
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19
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Chang J, Shaw TB, Holdom CJ, McCombe PA, Henderson RD, Fripp J, Barth M, Guo CC, Ngo ST, Steyn FJ. Lower hypothalamic volume with lower body mass index is associated with shorter survival in patients with amyotrophic lateral sclerosis. Eur J Neurol 2023; 30:57-68. [PMID: 36214080 PMCID: PMC10099625 DOI: 10.1111/ene.15589] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/15/2022] [Accepted: 09/30/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Weight loss in patients with amyotrophic lateral sclerosis (ALS) is associated with faster disease progression and shorter survival. Decreased hypothalamic volume is proposed to contribute to weight loss due to loss of appetite and/or hypermetabolism. We aimed to investigate the relationship between hypothalamic volume and body mass index (BMI) in ALS and Alzheimer's disease (AD), and the associations of hypothalamic volume with weight loss, appetite, metabolism and survival in patients with ALS. METHODS We compared hypothalamic volumes from magnetic resonance imaging scans with BMI for patients with ALS (n = 42), patients with AD (n = 167) and non-neurodegenerative disease controls (n = 527). Hypothalamic volumes from patients with ALS were correlated with measures of appetite and metabolism, and change in anthropomorphic measures and disease outcomes. RESULTS Lower hypothalamic volume was associated with lower and higher BMI in ALS (quadratic association; probability of direction = 0.96). This was not observed in AD patients or controls. Hypothalamic volume was not associated with loss of appetite (p = 0.58) or hypermetabolism (p = 0.49). Patients with lower BMI and lower hypothalamic volume tended to lose weight (p = 0.08) and fat mass (p = 0.06) over the course of their disease, and presented with an increased risk of earlier death (hazard ratio [HR] 3.16, p = 0.03). Lower hypothalamic volume alone trended for greater risk of earlier death (HR 2.61, p = 0.07). CONCLUSION These observations suggest that lower hypothalamic volume in ALS contributes to positive and negative energy balance, and is not universally associated with loss of appetite or hypermetabolism. Critically, lower hypothalamic volume with lower BMI was associated with weight loss and earlier death.
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Affiliation(s)
- Jeryn Chang
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Saint Lucia, Australia
| | - Thomas B Shaw
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia.,Centre for Advanced Imaging, The University of Queensland, Saint Lucia, Australia.,School of Information Technology and Electrical Engineering, The University of Queensland, Saint Lucia, Australia
| | - Cory J Holdom
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, Saint Lucia, Australia
| | - Pamela A McCombe
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia.,UQ Centre for Clinical Research, The University of Queensland, Herston, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia
| | - Robert D Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia.,UQ Centre for Clinical Research, The University of Queensland, Herston, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Herston, Australia
| | - Markus Barth
- Centre for Advanced Imaging, The University of Queensland, Saint Lucia, Australia.,School of Information Technology and Electrical Engineering, The University of Queensland, Saint Lucia, Australia
| | | | - Shyuan T Ngo
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia.,Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, Saint Lucia, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia
| | - Frederik J Steyn
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Saint Lucia, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia
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20
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Hartmann H, Ho WY, Chang JC, Ling SC. Cholesterol dyshomeostasis in amyotrophic lateral sclerosis: cause, consequence, or epiphenomenon? FEBS J 2022; 289:7688-7709. [PMID: 34469619 DOI: 10.1111/febs.16175] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/10/2021] [Accepted: 08/31/2021] [Indexed: 01/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS), the most common adult-onset motor neuron disease, is characterized by the selective degeneration of motor neurons leading to paralysis and eventual death. Multiple pathogenic mechanisms, including systemic dysmetabolism, have been proposed to contribute to ALS. Among them, dyslipidemia, i.e., abnormal level of cholesterol and other lipids in the circulation and central nervous system (CNS), has been reported in ALS patients, but without a consensus. Cholesterol is a constituent of cellular membranes and a precursor of steroid hormones, oxysterols, and bile acids. Consequently, optimal cholesterol levels are essential for health. Due to the blood-brain barrier (BBB), cholesterol cannot move between the CNS and the rest of the body. As such, cholesterol metabolism in the CNS is proposed to operate autonomously. Despite its importance, it remains elusive how cholesterol dyshomeostasis may contribute to ALS. In this review, we aim to describe the current state of cholesterol metabolism research in ALS, identify unresolved issues, and provide potential directions.
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Affiliation(s)
- Hannelore Hartmann
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wan Yun Ho
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jer-Cherng Chang
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shuo-Chien Ling
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Healthy Longevity Translational Research Programme, National University Health System, Singapore, Singapore.,Program in Neuroscience and Behavior Disorders, Duke-NUS Medical School, Singapore, Singapore
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21
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Correlation of weight and body composition with disease progression rate in patients with amyotrophic lateral sclerosis. Sci Rep 2022; 12:13292. [PMID: 35918363 PMCID: PMC9345931 DOI: 10.1038/s41598-022-16229-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 07/06/2022] [Indexed: 11/08/2022] Open
Abstract
This study aims to observe the nutritional status of Chinese patients with amyotrophic lateral sclerosis (ALS), further investigating its effect on disease progression. One hundred consecutive newly diagnosed ALS patients and fifty controls were included. Weight and body composition were measured by bioelectrical impedance analysis at baseline and follow-ups. The revised ALS functional rating scale (ALSFRS-R) was used to calculate the rate of disease progression. Patients with ALS had a significantly lower BMI than controls, while no significant difference was found in body composition. Weight loss occurred in 66 (66%) and 52 (67.5%) patients at diagnosis and follow-up, respectively. Patients with significant weight loss (≥ 5%) at diagnosis had significantly lower BMI, fat mass (FM), and FM in limbs and trunk than those without. Fat-free mass (FFM), FM, and FM in limbs were significantly decreased along with weight loss at follow-up (p < 0.01). Patients with lower visceral fat index, lower proportion of FM, and higher proportion of muscle mass at baseline progressed rapidly during follow-ups (p < 0.05). Multivariate linear regression showed that FFM and weight at follow-up were independently correlated with disease progression rate at follow-up (p < 0.05). Weight loss is a common feature in ALS patients, along with muscle and fat wasting during the disease course. Body composition may serve as a prognostic factor and provide guidance for nutritional management in ALS patients.
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22
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Hertel N, Kuzma-Kozakiewicz M, Gromicho M, Grosskreutz J, de Carvalho M, Uysal H, Dengler R, Petri S, Körner S. Analysis of routine blood parameters in patients with amyotrophic lateral sclerosis and evaluation of a possible correlation with disease progression—a multicenter study. Front Neurol 2022; 13:940375. [PMID: 35968316 PMCID: PMC9364810 DOI: 10.3389/fneur.2022.940375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
Objective Amyotrophic lateral sclerosis (ALS) pathogenesis is still unclear, its course is considerably variable, and prognosis is hard to determine. Despite much research, there is still a lack of easily accessible markers predicting prognosis. We investigated routine blood parameters in ALS patients regarding correlations with disease severity, progression rate, and survival. Additionally, we analyzed disease and patients' characteristics relating to baseline blood parameter levels. Methods We analyzed creatine kinase (CK), albumin (ALB), creatinine (CREA), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), and triglycerides (TG) levels around time of diagnosis in 1,084 ALS patients. We carried out linear regression analyses including disease and patients' characteristics with each blood parameter to detect correlations with them. Linear regression models were performed for ALSFRS-R at study entry, its retrospectively defined rate of decay and prospectively collected progression rate. Different survival analysis methods were used to examine associations between blood parameters and survival. Results We found higher CK (p-value 0.001), ALB (p-value <0.001), CREA (p-value <0.001), and HDL levels (p-value 0.044) at time of diagnosis being associated with better functional status according to ALSFRS-R scores at study entry. Additionally, higher CREA levels were associated with lower risk of death (p-value 0.003). Conclusions Our results indicate potential of CK, ALB, CREA, and HDL as disease severity or progression markers, and may also provide clues to ALS pathogenesis. However, these values are highly dependent on other variables, and further careful, longitudinal analyses will be necessary to prove the relevance of our findings.
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Affiliation(s)
- Nora Hertel
- Department of Neurology, Hannover Medical School, Hanover, Germany
| | | | - Marta Gromicho
- Institute of Physiology-Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Mamede de Carvalho
- Institute of Physiology-Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Hilmi Uysal
- Department of Neurology, Faculty of Medicine, Akdeniz University, Antalya, Turkey
| | - Reinhard Dengler
- Department of Neurology, Hannover Medical School, Hanover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hanover, Germany
- Center for Systems Neuroscience (ZSN), Hanover, Germany
| | - Sonja Körner
- Department of Neurology, Hannover Medical School, Hanover, Germany
- *Correspondence: Sonja Körner
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23
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Ben-Zaken S, Nefussy B, Meckel Y, Eliakim A, Nemet D, Gotkine M, Lorber D, Zeev A, Drory VE. Common genetic basis of ALS patients and soccer players may contribute to disease risk. Neurol Sci 2022; 43:4231-4238. [DOI: 10.1007/s10072-022-05990-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 03/01/2022] [Indexed: 11/29/2022]
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24
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Nelson AT, Trotti D. Altered Bioenergetics and Metabolic Homeostasis in Amyotrophic Lateral Sclerosis. Neurotherapeutics 2022; 19:1102-1118. [PMID: 35773551 PMCID: PMC9587161 DOI: 10.1007/s13311-022-01262-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2022] [Indexed: 01/07/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that primarily affects motor neurons and causes muscle atrophy, paralysis, and death. While a great deal of progress has been made in deciphering the underlying pathogenic mechanisms, no effective treatments for the disease are currently available. This is mainly due to the high degree of complexity and heterogeneity that characterizes the disease. Over the last few decades of research, alterations to bioenergetic and metabolic homeostasis have emerged as a common denominator across many different forms of ALS. These alterations are found at the cellular level (e.g., mitochondrial dysfunction and impaired expression of monocarboxylate transporters) and at the systemic level (e.g., low BMI and hypermetabolism) and tend to be associated with survival or disease outcomes in patients. Furthermore, an increasing amount of preclinical evidence and some promising clinical evidence suggests that targeting energy metabolism could be an effective therapeutic strategy. This review examines the evidence both for and against these ALS-associated metabolic alterations and highlights potential avenues for therapeutic intervention.
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Affiliation(s)
- Andrew T Nelson
- Jefferson Weinberg ALS Center, Vickie and Jack Farber Institute for Neuroscience, Department of Neuroscience, Thomas Jefferson University, 900 Walnut Street, JHN Bldg., 4th floor, room 416, Philadelphia, PA, 19107, USA
| | - Davide Trotti
- Jefferson Weinberg ALS Center, Vickie and Jack Farber Institute for Neuroscience, Department of Neuroscience, Thomas Jefferson University, 900 Walnut Street, JHN Bldg., 4th floor, room 416, Philadelphia, PA, 19107, USA.
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25
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Metabolic Dysfunction in Motor Neuron Disease: Shedding Light through the Lens of Autophagy. Metabolites 2022; 12:metabo12070574. [PMID: 35888698 PMCID: PMC9317837 DOI: 10.3390/metabo12070574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/17/2022] [Accepted: 06/20/2022] [Indexed: 11/26/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) patients show a myriad of energetic abnormalities, such as weight loss, hypermetabolism, and dyslipidaemia. Evidence suggests that these indices correlate with and ultimately affect the duration of survival. This review aims to discuss ALS metabolic abnormalities in the context of autophagy, the primordial system acting at the cellular level for energy production during nutrient deficiency. As the primary pathway of protein degradation in eukaryotic cells, the fundamental role of cellular autophagy is the adaptation to metabolic demands. Therefore, autophagy is tightly coupled to cellular metabolism. We review evidence that the delicate balance between autophagy and metabolism is aberrant in ALS, giving rise to intracellular and systemic pathophysiology observations. Understanding the metabolism autophagy crosstalk can lead to the identification of novel therapeutic targets for ALS.
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26
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Li JY, Cui LY, Sun XH, Shen DC, Yang XZ, Liu Q, Liu MS. Alterations in metabolic biomarkers and their potential role in amyotrophic lateral sclerosis. Ann Clin Transl Neurol 2022; 9:1027-1038. [PMID: 35584112 PMCID: PMC9268864 DOI: 10.1002/acn3.51580] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 12/14/2022] Open
Abstract
Background Metabolic dysfunction has been suggested to be involved in the pathophysiology of amyotrophic lateral sclerosis (ALS). This study aimed to investigate the potential role of metabolic biomarkers in the progression of ALS and understand the possible metabolic mechanisms. Methods Fifty‐two patients with ALS and 24 normal controls were included, and blood samples were collected for analysis of metabolic biomarkers. Basal anthropometric measures, including body composition and clinical features, were measured in ALS patients. The disease progression rate was calculated using the revised ALS functional rating scale (ALSFRS‐R) during the 6‐month follow‐up. Results ALS patients had higher levels of adipokines (adiponectin, adipsin, resistin, and visfatin) and other metabolic biomarkers [C‐peptide, glucagon, glucagon‐like peptide 1 (GLP‐1), gastric inhibitory peptide, and plasminogen activator inhibitor type 1] than controls. Leptin levels in serum were positively correlated with body mass index, body fat, and visceral fat index (VFI). Adiponectin was positively correlated with the VFI and showed a positive correlation with the ALSFRS‐R and a negative correlation with baseline disease progression. Patients with lower body fat, VFI, and fat in limbs showed faster disease progression during follow‐ups. Lower leptin and adiponectin levels were correlated with faster disease progression. After adjusting for confounders, lower adiponectin levels and higher visfatin levels were independently correlated with faster disease progression. Interpretation The current study found altered levels of metabolic biomarkers in ALS patients, which may play a role in ALS pathogenesis. Adiponectin and visfatin represent potential biomarkers for prediction of disease progression in ALS.
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Affiliation(s)
- Jin-Yue Li
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.,Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiao-Han Sun
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Dong-Chao Shen
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Xun-Zhe Yang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Qing Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Ming-Sheng Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
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27
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Godoy-Corchuelo JM, Fernández-Beltrán LC, Ali Z, Gil-Moreno MJ, López-Carbonero JI, Guerrero-Sola A, Larrad-Sainz A, Matias-Guiu J, Matias-Guiu JA, Cunningham TJ, Corrochano S. Lipid Metabolic Alterations in the ALS-FTD Spectrum of Disorders. Biomedicines 2022; 10:1105. [PMID: 35625841 PMCID: PMC9138405 DOI: 10.3390/biomedicines10051105] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 02/06/2023] Open
Abstract
There is an increasing interest in the study of the relation between alterations in systemic lipid metabolism and neurodegenerative disorders, in particular in Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD). In ALS these alterations are well described and evident not only with the progression of the disease but also years before diagnosis. Still, there are some discrepancies in findings relating to the causal nature of lipid metabolic alterations, partly due to the great clinical heterogeneity in ALS. ALS presentation is within a disorder spectrum with Frontotemporal Dementia (FTD), and many patients present mixed forms of ALS and FTD, thus increasing the variability. Lipid metabolic and other systemic metabolic alterations have not been well studied in FTD, or in ALS-FTD mixed forms, as has been in pure ALS. With the recent development in lipidomics and the integration with other -omics platforms, there is now emerging data that not only facilitates the identification of biomarkers but also enables understanding of the underlying pathological mechanisms. Here, we reviewed the recent literature to compile lipid metabolic alterations in ALS, FTD, and intermediate mixed forms, with a view to appraising key commonalities or differences within the spectrum.
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Affiliation(s)
- Juan Miguel Godoy-Corchuelo
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Luis C. Fernández-Beltrán
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Zeinab Ali
- MRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK; (Z.A.); (T.J.C.)
| | - María J. Gil-Moreno
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Juan I. López-Carbonero
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Antonio Guerrero-Sola
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Angélica Larrad-Sainz
- Nutrition and Endocrinology Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain;
| | - Jorge Matias-Guiu
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Jordi A. Matias-Guiu
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
| | - Thomas J. Cunningham
- MRC Harwell Institute, Harwell Campus, Oxfordshire OX11 0RD, UK; (Z.A.); (T.J.C.)
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London W1W 7FF, UK
| | - Silvia Corrochano
- Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, 28040 Madrid, Spain; (J.M.G.-C.); (L.C.F.-B.); (M.J.G.-M.); (J.I.L.-C.); (A.G.-S.); (J.M.-G.); (J.A.M.-G.)
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Tandan R, Levy EA, Howard DB, Hiser J, Kokinda N, Dey S, Kasarskis EJ. Body composition in amyotrophic lateral sclerosis subjects and its effect on disease progression and survival. Am J Clin Nutr 2022; 115:1378-1392. [PMID: 35108352 PMCID: PMC9071423 DOI: 10.1093/ajcn/nqac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 01/19/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Motor neuron degeneration and malnutrition alter body composition in amyotrophic lateral sclerosis (ALS). Resulting losses of weight, fat mass (FM), and fat-free mass (FFM) shorten survival. Nutritional management relies on body weight or BMI; neither reliably indicates malnutrition nor differentiates body compartments. OBJECTIVES We aimed to 1) develop an equation to compute FM and FFM using clinical data, validated against DXA; and 2) examine the effect of computed FM and FFM on disease course and survival. METHODS We studied 364 ALS patients from 3 cohorts. In Cohort #1 we used logistic regression on clinical and demographic data to create an equation (test cohort). In Cohort #2 we validated FM and FFM computed using this equation against DXA (validation cohort). In Cohort #3, we examined the effect of computed body composition on disease course and survival. RESULTS In Cohort #1 (n = 29) the model incorporated sex, age, BMI, and bulbar-onset to create an equation to estimate body fat: % body fat = 1.73 - [19.80*gender (1 if male or 0 if female)] + [0.25*weight (kg)] + [0.95*BMI (kg/m2)] - (5.20*1 if bulbar-onset or *0 if limb-onset). In Cohort #2 (n = 104), body composition using this equation, compared to other published equations, showed the least variance from DXA values. In Cohort #3 (n = 314), loss of body composition over 6 mo was greater in males. Adjusted survival was predicted by low baseline FM (HR: 1.39; 95% CI: 1.07, 1.80), and loss of FM (HR: 1.87; 95% CI: 1.30, 2.69) and FFM (HR: 1.73; 95% CI: 1.20, 2.49) over 6 mo. CONCLUSIONS Our equation broadens the traditional nutritional evaluation in clinics and reliably estimates body composition. Measuring body composition could target FM as a focus for nutritional management to ensure adequate energy intake and complement measures, such as the ALS functional rating scale-revised score and forced vital capacity, currently used.
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Affiliation(s)
- Rup Tandan
- Department of Neurological Sciences, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- General Clinical Research Center, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
| | - Evan A Levy
- Department of Neurological Sciences, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- General Clinical Research Center, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
| | - Diantha B Howard
- General Clinical Research Center, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- The Northern New England Clinical and Translational Research Network, Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- Maine Medical Center Research Institute, Portland, ME, USA
| | - John Hiser
- General Clinical Research Center, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- The Northern New England Clinical and Translational Research Network, Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- Maine Medical Center Research Institute, Portland, ME, USA
| | - Nathan Kokinda
- General Clinical Research Center, University of Vermont Medical Center and Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- The Northern New England Clinical and Translational Research Network, Robert Larner, MD College of Medicine, University of Vermont, Burlington, VT, USA
- Maine Medical Center Research Institute, Portland, ME, USA
| | - Swatee Dey
- Department of Neurology, University of Kentucky, Lexington, KY, USA
- General Clinical Research Center, University of Kentucky, Lexington, KY, USA
| | - Edward J Kasarskis
- Department of Neurology, University of Kentucky, Lexington, KY, USA
- General Clinical Research Center, University of Kentucky, Lexington, KY, USA
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Body Weight Gain Is Associated with the Disease Stage in Advanced Amyotrophic Lateral Sclerosis with Invasive Ventilation. Metabolites 2022; 12:metabo12020191. [PMID: 35208264 PMCID: PMC8874426 DOI: 10.3390/metabo12020191] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/05/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023] Open
Abstract
We investigated the incidence of weight gain and its related factors in patients with amyotrophic lateral sclerosis (ALS) who underwent tracheostomy and invasive ventilation (TIV). Seventy-eight patients with ALS and TIV were enrolled and followed up prospectively. We clarified the clinical profiles of patients with increased weight following TIV and examined chronological variations in their body mass index (BMI), energy intake, and serum albumin levels. Post follow-up, we determined their disease stage according to their communication impairment (stage I to V) and investigated factors associated with BMI increase following TIV. Patients with a post-TIV BMI increase ≥1.86 kg/m2 demonstrated a higher incidence of ophthalmoplegia (76.2%), total quadriplegia (61.9%), severe communication impairment (stage V; 33.3%), and hypoalbuminemia than those with a BMI increase <1.86 kg/m2. Patients with stage V communication impairment exhibited a larger and faster BMI decrease before TIV (mean −4.2 kg/m2 and −2.5 kg/m2/year, respectively); a larger BMI increase (mean +4.6 kg/m2) following TIV, despite lower energy intake; and lower albumin levels post follow-up than those with lower-stage communication impairment. Multilevel linear regression analysis demonstrated an independent association between communication impairment stages (stage V) and a post-TIV BMI increase (p = 0.030). Weight gain and hypoalbuminemia during TIV in patients with ALS were associated with the disease stage and may be attributable to the neurodegenerative processes that are peculiar to ALS.
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Herrmann C, Schradt F, Lindner-Pfleghar B, Schuster J, Ludolph AC, Dorst J. Pharyngeal electrical stimulation in amyotrophic lateral sclerosis: a pilot study. Ther Adv Neurol Disord 2022; 15:17562864211068394. [PMID: 35154390 PMCID: PMC8832561 DOI: 10.1177/17562864211068394] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/03/2021] [Indexed: 12/12/2022] Open
Abstract
Background: Patients with amyotrophic lateral sclerosis (ALS) suffer from dysphagia that increases the risk for aspiration, pneumonia and weight loss. Pharyngeal electrical stimulation (PES) is a therapeutic technique that applies electric stimuli to the patient’s pharynx in order to improve swallowing based on the principle of cortical plasticity and reorganization. Previous studies have demonstrated positive effects in patients with various neurological diseases. Objective: This study was initiated to investigate the effect of PES on swallowing function in patients with ALS. Methods: In all, 20 ALS patients with severe dysphagia [characterized by a Penetration Aspiration Scale (PAS) of at least 4 in thin liquid] were randomized to receive either PES for 10 min at 3 consecutive days in addition to Standard Logopaedic Therapy (SLT) or SLT alone. Swallowing function was evaluated by Fiberoptic Endoscopic Evaluation of Swallowing (FEES) at five timepoints: at baseline, 1 day, 4 days, 3 weeks and 3 months after treatment. Primary endpoint was the severity of penetrations or aspirations as classified by PAS. Secondary endpoints were adverse events, dysphagia-related quality of life, Swallowing Quality of Life (SWAL-QOL), Dysphagia Severity Rating Scale (DSRS), residues, leaking, ALS Functional Rating Scale Revised (ALSFRS-R), and the performance in Clinical Evaluation of Swallowing (CES). The trial is registered under the name of ‘Pharyngeal Electrical Stimulation in Amyotrophic Lateral Sclerosis’ with ClinialTrials.gov, number NCT03481348 (https://clinicaltrials.gov/ct2/show/NCT03481348). Results: Both groups combined showed a significant improvement (p = 0.003) of median Total-PAS from 3.6 [interquartile range (IQR) = 2.9–5.0] at baseline to 2.3 (IQR = 1.8–4.0) 1 day after treatment. During subsequent study visits, PAS increased again but remained below baseline. PES and control group did not differ significantly 1 day after intervention (p = 0.32). Similar effects were found in the majority of secondary endpoints. Interpretation: The findings suggest that PES may not provide an additional positive effect on swallowing function in ALS. SLT seems to yield at least short-term positive effects on swallowing function and swallowing-specific life quality in ALS. Registration: ClinialTrials.gov: NCT03481348
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Affiliation(s)
| | - Falk Schradt
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | | | - Albert C. Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Johannes Dorst
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, D-89081 Ulm, Germany
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31
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Schumacher-Schuh A, Bieger A, Borelli WV, Portley MK, Awad PS, Bandres-Ciga S. Advances in Proteomic and Metabolomic Profiling of Neurodegenerative Diseases. Front Neurol 2022; 12:792227. [PMID: 35173667 PMCID: PMC8841717 DOI: 10.3389/fneur.2021.792227] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 12/20/2021] [Indexed: 12/12/2022] Open
Abstract
Proteomics and metabolomics are two emerging fields that hold promise to shine light on the molecular mechanisms causing neurodegenerative diseases. Research in this area may reveal and quantify specific metabolites and proteins that can be targeted by therapeutic interventions intended at halting or reversing the neurodegenerative process. This review aims at providing a general overview on the current status of proteomic and metabolomic profiling in neurodegenerative diseases. We focus on the most common neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. We discuss the relevance of state-of-the-art metabolomics and proteomics approaches and their potential for biomarker discovery. We critically review advancements made so far, highlighting how metabolomics and proteomics may have a significant impact in future therapeutic and biomarker development. Finally, we further outline technologies used so far as well as challenges and limitations, placing the current information in a future-facing context.
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Affiliation(s)
- Artur Schumacher-Schuh
- Departamento de Farmacologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Andrei Bieger
- Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Wyllians V. Borelli
- Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Makayla K. Portley
- Neurodegenerative Disorders Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Paula Saffie Awad
- Movement Disorders Clinic, Centro de Trastornos de Movimiento (CETRAM), Santiago, Chile
| | - Sara Bandres-Ciga
- Neurodegenerative Disorders Clinic, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
- Laboratory of Neurogenetics, Molecular Genetics Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States
- *Correspondence: Sara Bandres-Ciga
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Scaricamazza S, Salvatori I, Amadio S, Nesci V, Torcinaro A, Giacovazzo G, Primiano A, Gloriani M, Candelise N, Pieroni L, Loeffler JP, Renè F, Quessada C, Tefera TW, Wang H, Steyn FJ, Ngo ST, Dobrowolny G, Lepore E, Urbani A, Musarò A, Volonté C, Ferraro E, Coccurello R, Valle C, Ferri A. Repurposing of Trimetazidine for Amyotrophic Lateral Sclerosis: a study in SOD1 G93A mice. Br J Pharmacol 2021; 179:1732-1752. [PMID: 34783031 PMCID: PMC9305494 DOI: 10.1111/bph.15738] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/09/2021] [Accepted: 10/23/2021] [Indexed: 11/29/2022] Open
Abstract
Background and Purpose Amyotrophic lateral sclerosis (ALS), a neurodegenerative disease characterized by the degeneration of upper and lower motor neurons, progressive wasting and paralysis of voluntary muscles and is currently incurable. Although considered to be a pure motor neuron disease, increasing evidence indicates that the sole protection of motor neurons by a single targeted drug is not sufficient to improve the pathological phenotype. We therefore evaluated the therapeutic potential of the multi‐target drug used to treatment of coronary artery disease, trimetazidine, in SOD1G93A mice. Experimental Approach As a metabolic modulator, trimetazidine improves glucose metabolism. Furthermore, trimetazidine enhances mitochondrial metabolism and promotes nerve regeneration, exerting an anti‐inflammatory and antioxidant effect. We orally treated SOD1G93A mice with trimetazidine, solubilized in drinking water at a dose of 20 mg kg−1, from disease onset. We assessed the impact of trimetazidine on disease progression by studying metabolic parameters, grip strength and histological alterations in skeletal muscle, peripheral nerves and the spinal cord. Key Results Trimetazidine administration delays motor function decline, improves muscle performance and metabolism, and significantly extends overall survival of SOD1G93A mice (increased median survival of 16 days and 12.5 days for male and female respectively). Moreover, trimetazidine prevents the degeneration of neuromuscular junctions, attenuates motor neuron loss and reduces neuroinflammation in the spinal cord and in peripheral nerves. Conclusion and Implications In SOD1G93A mice, therapeutic effect of trimetazidine is underpinned by its action on mitochondrial function in skeletal muscle and spinal cord.
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Affiliation(s)
- Silvia Scaricamazza
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Illari Salvatori
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Experimental Medicine, University of Roma "La Sapienza", Rome, Italy
| | | | | | - Alessio Torcinaro
- National Council of Research (CNR), Institute of Cell Biology and Neurology (IBCN), Rome, Italy
| | - Giacomo Giacovazzo
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Biology, University of Rome "Tor Vergata", Rome, Italy
| | - Aniello Primiano
- Università Cattolica del Sacro Cuore, Rome, Italy.,Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | | | - Niccolò Candelise
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council (CNR), Institute of Translational Pharmacology (IFT), Rome, Italy
| | | | - Jean-Philippe Loeffler
- Université de Strasbourg, UMR_S 1118, Strasbourg, France.,INSERM, U1118, Central and Peripheral Mechanisms of Neurodegeneration, Strasbourg, France
| | - Frederique Renè
- Université de Strasbourg, UMR_S 1118, Strasbourg, France.,INSERM, U1118, Central and Peripheral Mechanisms of Neurodegeneration, Strasbourg, France
| | - Cyril Quessada
- Université de Strasbourg, UMR_S 1118, Strasbourg, France.,INSERM, U1118, Central and Peripheral Mechanisms of Neurodegeneration, Strasbourg, France
| | - Tesfaye W Tefera
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Hao Wang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Frederik J Steyn
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Gabriella Dobrowolny
- University of Roma "La Sapienza", DAHFMO-Unit of Histology and Medical Embryology, Laboratory Affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome, Italy
| | - Elisa Lepore
- University of Roma "La Sapienza", DAHFMO-Unit of Histology and Medical Embryology, Laboratory Affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome, Italy
| | - Andrea Urbani
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy.,National Research Council (CNR), Institute of Translational Pharmacology (IFT), Rome, Italy
| | - Antonio Musarò
- University of Roma "La Sapienza", DAHFMO-Unit of Histology and Medical Embryology, Laboratory Affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome, Italy
| | - Cinzia Volonté
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council (CNR), Institute for Systems Analysis and Computer Science (IASI), Rome, Italy
| | | | - Roberto Coccurello
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council (CNR), Institute for Complex System (ISC), Rome, Italy
| | - Cristiana Valle
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council (CNR), Institute of Translational Pharmacology (IFT), Rome, Italy
| | - Alberto Ferri
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council (CNR), Institute of Translational Pharmacology (IFT), Rome, Italy
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Chiò A, Canosa A, Calvo A, Moglia C, Cicolin A, Mora G. Developments in the assessment of non-motor disease progression in amyotrophic lateral sclerosis. Expert Rev Neurother 2021; 21:1419-1440. [PMID: 34554894 DOI: 10.1080/14737175.2021.1984883] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The burden of non-motor symptoms is a major determinant of quality of life and outcome in amyotrophic lateral sclerosis (ALS) and has profound negative effect also on caregivers. AREAS COVERED Non-motor symptoms in ALS include cognitive impairment, neurobehavioral symptoms, depression and anxiety, suicidal ideation, pain, disordered sleep, fatigue, weight loss and reduced appetite, and autonomic dysfunctions. This review summarizes the measures used for the assessment of non-motor symptoms and their properties and recaps the frequency and progression of these symptoms along the course of ALS. EXPERT OPINION Non-motor symptoms in ALS represent a major component of the disease and span over several domains. These symptoms require a high level of medical attention and should be checked at each visit using ad hoc questionnaires and proactively treated. Several instruments assessing non-motor symptoms have been used in ALS. Specific screening questionnaires for non-motor symptoms can be used for monitoring patients during telehealth visits and for remote surveillance through sensors and apps installed on smartphones. Novel trials for non-motor symptoms treatment specifically designed for ALS are necessary to increase and refine the therapeutic armamentarium. Finally, scales assessing the most frequent and burdensome non-motor symptoms should be included in clinical trials.
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Affiliation(s)
- Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology I, Azienda Ospedaliera Città Della Salute E Della Scienza of Turin, Turin, Italy
| | - Antonio Canosa
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology I, Azienda Ospedaliera Città Della Salute E Della Scienza of Turin, Turin, Italy
| | - Andrea Calvo
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology I, Azienda Ospedaliera Città Della Salute E Della Scienza of Turin, Turin, Italy
| | - Cristina Moglia
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Neurology I, Azienda Ospedaliera Città Della Salute E Della Scienza of Turin, Turin, Italy
| | - Alessandro Cicolin
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Sleep Medicine Center, Azienda Ospedaliera Città Della Salute E Della Scienza of Turin, Turin, Italy
| | - Gabriele Mora
- Neurorehabilitation Department, Ics Maugeri Irccs, Institute of Milan, Milan, Italy
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Abstract
PURPOSE OF REVIEW Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease targeting upper and lower motor neurons, inexorably leading to an early death. Defects in energy metabolism have been associated with ALS, including weight loss, increased energy expenditure, decreased body fat mass and increased use of lipid nutrients at the expense of carbohydrates. We review here recent findings on impaired energy metabolism in ALS, and its clinical importance. RECENT FINDINGS Hypothalamic atrophy, as well as alterations in hypothalamic peptides controlling energy metabolism, have been associated with metabolic derangements. Recent studies showed that mutations causing familial ALS impact various metabolic pathways, in particular mitochondrial function, and lipid and carbohydrate metabolism, which could underlie these metabolic defects in patients. Importantly, slowing weight loss, through high caloric diets, is a promising therapeutic strategy, and early clinical trials indicated that it might improve survival in at least a subset of patients. More research is needed to improve these therapeutic strategies, define pharmacological options, and refine the population of ALS patients that would benefit from these approaches. SUMMARY Dysfunctional energy homeostasis is a major feature of ALS clinical picture and emerges as a potential therapeutic target.
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Hypermetabolism associated with worse prognosis of amyotrophic lateral sclerosis. J Neurol 2021; 269:1447-1455. [PMID: 34274994 DOI: 10.1007/s00415-021-10716-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND OBJECTIVE Exploration of hypermetabolism in amyotrophic lateral sclerosis (ALS) with different ethnicities is needed to understand its metabolic implications for clinical management. We aimed to evaluate the features of hypermetabolism and investigate its association with clinical characteristics and prognosis of ALS in a prospective Chinese cohort. METHODS This prospective study was conducted at Peking University Third Hospital, China from 2017 to 2020. 343 participants were enrolled initially. After strict screening, 147 matched health controls and 93 patients with ALS were eligible and underwent detailed clinical assessments. Disease severity and progression were evaluated using recognized scales. Metabolic assessments included body composition and metabolic index (MI) [hypermetabolism if MI ≥ 120.0%]. Patients were followed up every 6 months for survival analysis. RESULTS Compared with controls, hypermetabolism was significantly more prevalent in ALS (p = 0.009). MI was consistently higher in ALS than controls (p = 0.009). Further correlation analysis showed that MI significantly decreased with disease progression, as graded by King's College staging system (p < 0.001). MI was significantly correlated with fat-free mass and fat mass (p = 0.005 and 0.007). Survival analysis showed that hypermetabolism independently indicated a worse prognosis for ALS (HR = 1.020, CI = 1.004-1.036, p = 0.013). CONCLUSION A significant increase in the prevalence and degree of hypermetabolism was identified in ALS compared with strictly matched controls. Metabolic index, which is significantly associated with disease progression and body composition, is an independent prognostic indicator for a worse survival of ALS.
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Pikatza-Menoio O, Elicegui A, Bengoetxea X, Naldaiz-Gastesi N, López de Munain A, Gerenu G, Gil-Bea FJ, Alonso-Martín S. The Skeletal Muscle Emerges as a New Disease Target in Amyotrophic Lateral Sclerosis. J Pers Med 2021; 11:671. [PMID: 34357138 PMCID: PMC8307751 DOI: 10.3390/jpm11070671] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 07/09/2021] [Accepted: 07/14/2021] [Indexed: 01/02/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder that leads to progressive degeneration of motor neurons (MNs) and severe muscle atrophy without effective treatment. Most research on ALS has been focused on the study of MNs and supporting cells of the central nervous system. Strikingly, the recent observations of pathological changes in muscle occurring before disease onset and independent from MN degeneration have bolstered the interest for the study of muscle tissue as a potential target for delivery of therapies for ALS. Skeletal muscle has just been described as a tissue with an important secretory function that is toxic to MNs in the context of ALS. Moreover, a fine-tuning balance between biosynthetic and atrophic pathways is necessary to induce myogenesis for muscle tissue repair. Compromising this response due to primary metabolic abnormalities in the muscle could trigger defective muscle regeneration and neuromuscular junction restoration, with deleterious consequences for MNs and thereby hastening the development of ALS. However, it remains puzzling how backward signaling from the muscle could impinge on MN death. This review provides a comprehensive analysis on the current state-of-the-art of the role of the skeletal muscle in ALS, highlighting its contribution to the neurodegeneration in ALS through backward-signaling processes as a newly uncovered mechanism for a peripheral etiopathogenesis of the disease.
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Affiliation(s)
- Oihane Pikatza-Menoio
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
| | - Amaia Elicegui
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
| | - Xabier Bengoetxea
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
| | - Neia Naldaiz-Gastesi
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
| | - Adolfo López de Munain
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
- Department of Neurology, Donostialdea Integrated Health Organization, Osakidetza Basque Health Service, 20014 Donostia/San Sebastián, Spain
- Department of Neurosciences, Faculty of Medicine and Nursery, University of the Basque Country UPV-EHU, 20014 Donostia/San Sebastián, Spain
| | - Gorka Gerenu
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
- Department of Physiology, University of the Basque Country UPV-EHU, 48940 Leioa, Spain
| | - Francisco Javier Gil-Bea
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
| | - Sonia Alonso-Martín
- Neuromuscular Diseases Group, Neurosciences Area, Biodonostia Health Research Institute, 20014 Donostia/San Sebastián, Spain; (O.P.-M.); (A.E.); (X.B.); (N.N.-G.); (A.L.d.M.); (G.G.); (F.J.G.-B.)
- CIBERNED, Carlos III Institute, Spanish Ministry of Economy & Competitiveness, 28031 Madrid, Spain
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D’Amico E, Grosso G, Nieves JW, Zanghì A, Factor-Litvak P, Mitsumoto H. Metabolic Abnormalities, Dietary Risk Factors and Nutritional Management in Amyotrophic Lateral Sclerosis. Nutrients 2021; 13:nu13072273. [PMID: 34209133 PMCID: PMC8308334 DOI: 10.3390/nu13072273] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 02/07/2023] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a devastating progressive neurodegenerative disease that affects motor neurons, leading to a relentless paralysis of skeletal muscles and eventual respiratory failure. Although a small percentage of patients may have a longer survival time (up to 10 years), in most cases, the median survival time is from 20 to 48 months. The pathogenesis and risk factors for ALS are still unclear: among the various aspects taken into consideration, metabolic abnormalities and nutritional factors have been the focus of recent interests. Although there are no consistent findings regarding prior type-2 diabetes, hypercholesterolemia and ALS incidence, abnormalities in lipid and glucose metabolism may be linked to disease progression, leading to a relatively longer survival (probably as a result of counteract malnutrition and cachexia in the advanced stages of the disease). Among potential dietary risk factors, a higher risk of ALS has been associated with an increased intake of glutamate, while the consumption of antioxidant and anti-inflammatory compounds, such as vitamin E, n-3 polyunsaturated fatty acids, and carotenoids, has been related to lower incidence. Poor nutritional status and weight loss in ALS resulting from poor oral intake, progressive muscle atrophy, and the potential hypermetabolic state have been associated with rapid disease progression. It seems important to routinely perform a nutritional assessment of ALS patients at the earliest referral: weight maintenance (if adequate) or gain (if underweight) is suggested from the scientific literature; evidence of improved diet quality (in terms of nutrients and limits for pro-inflammatory dietary factors) and glucose and lipid control is yet to be confirmed, but it is advised. Further research is warranted to better understand the role of nutrition and the underlying metabolic abnormalities in ALS, and their contribution to the pathogenic mechanisms leading to ALS initiation and progression.
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Affiliation(s)
- Emanuele D’Amico
- Department G.F. Ingrassia, University of Catania, 95123 Catania, Italy; (E.D.); (A.Z.)
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
- Correspondence: ; Tel.: +39-0954-781-187
| | - Jeri W. Nieves
- Mailman School of Public Health and Institute of Human Nutrition, Columbia University, New York, NY 10032, USA; (J.W.N.); (P.F.-L.)
| | - Aurora Zanghì
- Department G.F. Ingrassia, University of Catania, 95123 Catania, Italy; (E.D.); (A.Z.)
| | - Pam Factor-Litvak
- Mailman School of Public Health and Institute of Human Nutrition, Columbia University, New York, NY 10032, USA; (J.W.N.); (P.F.-L.)
| | - Hiroshi Mitsumoto
- Eleanor and Lou Gehrig ALS Center, The Neurological Institute of New York Columbia University Medical Center, New York, NY 10032, USA;
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Sol J, Jové M, Povedano M, Sproviero W, Domínguez R, Piñol-Ripoll G, Romero-Guevara R, Hye A, Al-Chalabi A, Torres P, Andres-Benito P, Area-Gómez E, Pamplona R, Ferrer I, Ayala V, Portero-Otín M. Lipidomic traits of plasma and cerebrospinal fluid in amyotrophic lateral sclerosis correlate with disease progression. Brain Commun 2021; 3:fcab143. [PMID: 34396104 PMCID: PMC8361390 DOI: 10.1093/braincomms/fcab143] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2021] [Indexed: 01/01/2023] Open
Abstract
Since amyotrophic lateral sclerosis cases exhibit significant heterogeneity, we aim to investigate the association of lipid composition of plasma and CSF with amyotrophic lateral sclerosis diagnosis, its progression and clinical characteristics. Lipidome analyses would help to stratify patients on a molecular basis. For this reason, we have analysed the lipid composition of paired plasma and CSF samples from amyotrophic lateral sclerosis cases and age-matched non-amyotrophic lateral sclerosis individuals (controls) by comprehensive liquid chromatography coupled to mass spectrometry. The concentrations of neurofilament light chain-an index of neuronal damage-were also quantified in CSF samples and plasma. Amyotrophic lateral sclerosis versus control comparison, in a moderate stringency mode, showed that plasma from cases contains more differential lipids (n = 122 for raw P < 0.05; n = 27 for P < 0.01) than CSF (n = 17 for raw P < 0.05; n = 4 for P < 0.01), with almost no overlapping differential species, mainly characterized by an increased content of triacylglyceride species in plasma and decreased in CSF. Of note, false discovery rate correction indicated that one of the CSF lipids (monoacylglycerol 18:0) had high statistic robustness (false discovery rate-P < 0.01). Plasma lipidomes also varied significantly with the main involvement at onset (bulbar, spinal or respiratory). Notably, faster progression cases showed particular lipidome fingerprints, featured by decreased triacylclycerides and specific phospholipids in plasma, with 11 lipids with false discovery rate-P < 0.1 (n = 56 lipids in plasma for raw P < 0.01). Lipid species associated with progression rate clustered in a relatively low number of metabolic pathways, mainly triacylglyceride metabolism and glycerophospholipid and sphingolipid biosynthesis. A specific triacylglyceride (68:12), correlated with neurofilament content (r = 0.8, P < 0.008). Thus, the present findings suggest that systemic hypermetabolism-potentially sustained by increased triacylglyceride content-and CNS alterations of specific lipid pathways could be associated as modifiers of disease progression. Furthermore, these results confirm biochemical lipid heterogeneity in amyotrophic lateral sclerosis with different presentations and progression, suggesting the use of specific lipid species as potential disease classifiers.
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Affiliation(s)
- Joaquim Sol
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
- Institut Català de la Salut, Atenció Primària, Lleida, Spain
- Research Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Lleida, Spain
| | - Mariona Jové
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Monica Povedano
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
| | - William Sproviero
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Raul Domínguez
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Gerard Piñol-Ripoll
- Cognitive Disorders Unit, Clinical Neuroscience Research, IRBLleida-Hospital Universitari Santa Maria Lleida, Lleida, Spain
| | - Ricardo Romero-Guevara
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Abdul Hye
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Pascual Torres
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Pol Andres-Benito
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Barcelona, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
| | - Estela Area-Gómez
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Reinald Pamplona
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Isidro Ferrer
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Barcelona, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Senior Consultant, Bellvitge University Hospital, Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Victòria Ayala
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
| | - Manuel Portero-Otín
- Metabolic Physiopathology Research Group, Experimental Medicine Department, Lleida University-Lleida Biochemical Research Institute (UdL-IRBLleida), Lleida, Spain
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Diabetes Mellitus and Amyotrophic Lateral Sclerosis: A Systematic Review. Biomolecules 2021; 11:biom11060867. [PMID: 34200812 PMCID: PMC8230511 DOI: 10.3390/biom11060867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Amyotrophic Lateral Sclerosis (ALS) is a degenerative disorder which affects the motor neurons. Growing evidence suggests that ALS may impact the metabolic system, including the glucose metabolism. Several studies investigated the role of Diabetes Mellitus (DM) as risk and/or prognostic factor. However, a clear correlation between DM and ALS has not been defined. In this review, we focus on the role of DM in ALS, examining the different hypotheses on how perturbations of glucose metabolism may interact with the pathophysiology and the course of ALS. METHODS We undertook an independent PubMed literature search, using the following search terms: ((ALS) OR (Amyotrophic Lateral Sclerosis) OR (Motor Neuron Disease)) AND ((Diabetes) OR (Glucose Intolerance) OR (Hyperglycemia)). Review and original articles were considered. RESULTS DM appears not to affect ALS severity, progression, and survival. Contrasting data suggested a protective role of DM on the occurrence of ALS in elderly and an opposite effect in younger subjects. CONCLUSIONS The actual clinical and pathophysiological correlation between DM and ALS is unclear. Large longitudinal prospective studies are needed. Achieving large sample sizes comparable to those of common complex diseases like DM is a challenge for a rare disease like ALS. Collaborative efforts could overcome this specific issue.
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Skeletal Muscle Metabolism: Origin or Prognostic Factor for Amyotrophic Lateral Sclerosis (ALS) Development? Cells 2021; 10:cells10061449. [PMID: 34207859 PMCID: PMC8226541 DOI: 10.3390/cells10061449] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 12/26/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive and selective loss of motor neurons, amyotrophy and skeletal muscle paralysis usually leading to death due to respiratory failure. While generally considered an intrinsic motor neuron disease, data obtained in recent years, including our own, suggest that motor neuron protection is not sufficient to counter the disease. The dismantling of the neuromuscular junction is closely linked to chronic energy deficit found throughout the body. Metabolic (hypermetabolism and dyslipidemia) and mitochondrial alterations described in patients and murine models of ALS are associated with the development and progression of disease pathology and they appear long before motor neurons die. It is clear that these metabolic changes participate in the pathology of the disease. In this review, we summarize these changes seen throughout the course of the disease, and the subsequent impact of glucose–fatty acid oxidation imbalance on disease progression. We also highlight studies that show that correcting this loss of metabolic flexibility should now be considered a major goal for the treatment of ALS.
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41
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Bayer D, Antonucci S, Müller HP, Saad R, Dupuis L, Rasche V, Böckers TM, Ludolph AC, Kassubek J, Roselli F. Disruption of orbitofrontal-hypothalamic projections in a murine ALS model and in human patients. Transl Neurodegener 2021; 10:17. [PMID: 34059131 PMCID: PMC8168014 DOI: 10.1186/s40035-021-00241-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 05/11/2021] [Indexed: 12/12/2022] Open
Abstract
Background Increased catabolism has recently been recognized as a clinical manifestation of amyotrophic lateral sclerosis (ALS). The hypothalamic systems have been shown to be involved in the metabolic dysfunction in ALS, but the exact extent of hypothalamic circuit alterations in ALS is yet to be determined. Here we explored the integrity of large-scale cortico-hypothalamic circuits involved in energy homeostasis in murine models and in ALS patients. Methods The rAAV2-based large-scale projection mapping and image analysis pipeline based on Wholebrain and Ilastik software suites were used to identify and quantify projections from the forebrain to the lateral hypothalamus in the SOD1(G93A) ALS mouse model (hypermetabolic) and the FusΔNLS ALS mouse model (normo-metabolic). 3 T diffusion tensor imaging (DTI)-magnetic resonance imaging (MRI) was performed on 83 ALS and 65 control cases to investigate cortical projections to the lateral hypothalamus (LHA) in ALS. Results Symptomatic SOD1(G93A) mice displayed an expansion of projections from agranular insula, ventrolateral orbitofrontal and secondary motor cortex to the LHA. These findings were reproduced in an independent cohort by using a different analytic approach. In contrast, in the FusΔNLS ALS mouse model hypothalamic inputs from insula and orbitofrontal cortex were maintained while the projections from motor cortex were lost. The DTI-MRI data confirmed the disruption of the orbitofrontal-hypothalamic tract in ALS patients. Conclusion This study provides converging murine and human data demonstrating the selective structural disruption of hypothalamic inputs in ALS as a promising factor contributing to the origin of the hypermetabolic phenotype. Supplementary Information The online version contains supplementary material available at 10.1186/s40035-021-00241-6.
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Affiliation(s)
- David Bayer
- Department of Neurology, Ulm University, Ulm, Germany.,CEMMA (Cellular and Molecular Mechanisms in Aging) Research Training Group, Ulm, Germany
| | | | | | - Rami Saad
- Department of Neurology, Ulm University, Ulm, Germany
| | - Luc Dupuis
- University of Strasbourg, Strasbourg, France
| | - Volker Rasche
- Department of Internal Medicine II, Ulm University Medical Centre, Ulm, Germany
| | - Tobias M Böckers
- Institute of Anatomy and Cell Biology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Francesco Roselli
- Department of Neurology, Ulm University, Ulm, Germany. .,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany.
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Ke L, Li Q, Song J, Jiao W, Ji A, Chen T, Pan H, Song Y. The mitochondrial biogenesis signaling pathway is a potential therapeutic target for myasthenia gravis via energy metabolism (Review). Exp Ther Med 2021; 22:702. [PMID: 34007311 PMCID: PMC8120506 DOI: 10.3892/etm.2021.10134] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/21/2020] [Indexed: 02/06/2023] Open
Abstract
Myasthenia gravis (MG) is an autoantibody-mediated autoimmune disease that is characterized by muscle weakness and fatigue. Traditional treatments for MG target the neuromuscular junction (NMJ) or the immune system. However, the efficacy of such treatments is limited, and novel therapeutic options for MG are urgently required. In the current review, a new therapeutic strategy is proposed based on the mitochondrial biogenesis and energy metabolism pathway, as stimulating mitochondrial biogenesis and the energy metabolism might alleviate myasthenia gravis. A number of cellular sensors of the energy metabolism were investigated, including AMP-activated protein kinase (AMPK) and sirtuin 1 (SIRT1). AMPK and SIRT1 are sensors that regulate cellular energy homeostasis and maintain energy metabolism by balancing anabolism and catabolism. Peroxisome proliferator-activated receptor γ coactivator 1α and its downstream transcription factors nuclear respiratory factors 1, nuclear respiratory factors 2, and transcription factor A are key sensors of mitochondrial biogenesis, which can restore mitochondrial DNA and produce new mitochondria. These processes help to control muscle contraction and relieve the symptoms of MG, including muscle weakness caused by dysfunctional NMJ transmission. Therefore, the present review provides evidence for the therapeutic potential of targeting mitochondrial biogenesis for the treatment of MG.
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Affiliation(s)
- Lingling Ke
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Pi-Wei, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Qing Li
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Pi-Wei, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Jingwei Song
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Pi-Wei, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Wei Jiao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Pi-Wei, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Aidong Ji
- Clinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China
| | - Tongkai Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Huafeng Pan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Yafang Song
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.,Institute of Pi-Wei, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
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43
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Ngo ST, Wang H, Henderson RD, Bowers C, Steyn FJ. Ghrelin as a treatment for amyotrophic lateral sclerosis. J Neuroendocrinol 2021; 33:e12938. [PMID: 33512025 DOI: 10.1111/jne.12938] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 12/27/2022]
Abstract
Ghrelin is a gut hormone best known for its role in regulating appetite and stimulating the secretion of the anabolic hormone growth hormone (GH). However, there is considerable evidence to show wider-ranging biological actions of ghrelin that favour improvements in cellular and systemic metabolism, as well as neuroprotection. Activation of these ghrelin-mediated pathways may alleviate pathogenic processes that are assumed to contribute to accelerated progression of disease in patients with neurodegenerative disease. Here, we provide a brief overview on the history of discoveries that led to the identification of ghrelin. Focussing on the neurodegenerative disease amyotrophic lateral sclerosis (ALS), we also present an overview of emerging evidence that suggests that ghrelin and ghrelin mimetics may serve as potential therapies for the treatment of ALS. Given that ALS is a highly heterogeneous disease, where multiple disease mechanisms contribute to variability in disease onset and rate of disease progression, we speculate that the wide-ranging biological actions of ghrelin might offer therapeutic benefit through modulating multiple disease-relevant processes observed in ALS. Expanding on the well-known actions of ghrelin in regulating food intake and GH secretion, we consider the potential of ghrelin-mediated pathways in improving body weight regulation, metabolism and the anabolic and neuroprotective actions of GH and insulin-like growth factor-1 (IGF-1). This is of clinical significance because loss of body weight, impairments in systemic and cellular metabolism, and reductions in IGF-1 are associated with faster disease progression and worse disease outcome in patients with ALS.
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Affiliation(s)
- Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Hao Wang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Robert D Henderson
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Cyril Bowers
- Department of Internal Medicine, Tulane University Health Sciences Centre, New Orleans, LA, USA
| | - Frederik J Steyn
- Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
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44
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Delaye JB, Lanznaster D, Veyrat-Durebex C, Fontaine A, Bacle G, Lefevre A, Hergesheimer R, Lecron JC, Vourc'h P, Andres CR, Maillot F, Corcia P, Emond P, Blasco H. Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model. Neurotherapeutics 2021; 18:297-308. [PMID: 33021723 PMCID: PMC8116478 DOI: 10.1007/s13311-020-00933-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2020] [Indexed: 12/12/2022] Open
Abstract
In amyotrophic lateral sclerosis (ALS), motor neuron degeneration occurs simultaneously with systemic metabolic dysfunction and neuro-inflammation. The fibroblast growth factor 21 (FGF21) plays an important role in the regulation of both phenomena and is a major hormone of energetic homeostasis. In this study, we aimed to determine the relevance of FGF21 pathway stimulation in a male mouse model of ALS (mutated SOD1-G93A mice) by using a pharmacological agonist of FGF21, R1Mab1. Mice (SOD1-WT and mutant SOD1-G93A) were treated with R1Mab1 or vehicle. Longitudinal data about clinical status (motor function, body weight) and biological parameters (including hormonal, immunological, and metabolomics profiles) were collected from the first symptoms to euthanasia at week 20. Multivariate models were performed to identify the main parameters associated with R1Mab1 treatment and to link them with clinical status, and metabolic pathways involving the discriminant metabolites were also determined. A beneficial clinical effect of R1Mab1 was revealed on slow rotarod (p = 0.032), despite a significant decrease in body weight of ALS mice (p < 0.001). We observed a decrease in serum TNF-α, MCP-1, and insulin levels (p = 0.0059, p = 0.003, and p = 0.01, respectively). At 16 weeks, metabolomics analyses revealed a clear discrimination (CV-ANOVA = 0.0086) according to the treatment and the most discriminant pathways, including sphingolipid metabolism, butanoate metabolism, pantothenate and CoA biosynthesis, and the metabolism of amino acids like tyrosine, arginine, proline, glycine, serine, alanine, aspartate, and glutamate. Mice treated with R1Mab1 had mildly higher performance on slow rotarod despite a decrease on body weight and could be linked with the anti-inflammatory effect of R1Mab1. These results indicate that FGF21 pathway is an interesting target in ALS, with a slight improvement in motor function combined with metabolic and anti-inflammatory effects.
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Affiliation(s)
- J B Delaye
- Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France.
| | - D Lanznaster
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - C Veyrat-Durebex
- Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - A Fontaine
- Service d'anatomie et cytologie pathologique, Centre Hospitalier Régional Universitaire de Tours, hôpital Bretonneau, 37044, Tours, France
| | - G Bacle
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
- Service de chirurgie orthopédique, Centre Hospitalier Régional Universitaire de Tours, hôpital Trousseau, 37044, Tours, France
| | - A Lefevre
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - R Hergesheimer
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - J C Lecron
- Laboratoire Inflammation, Tissus Epithéliaux et Cytokines Université de Poitiers Equipe d'acceuil 4331, 86073, Poitiers, France
| | - P Vourc'h
- Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - C R Andres
- Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
| | - F Maillot
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
- Service de médecine interne, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
| | - P Corcia
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
- Centre SLA, Service de Neurologie, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
| | - P Emond
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
- Service de Médecine Nucléaire in vitro, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
| | - H Blasco
- Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France
- Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
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45
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Fayemendy P, Marin B, Labrunie A, Boirie Y, Walrand S, Achamrah N, Coëffier M, Preux PM, Lautrette G, Desport JC, Couratier P, Jésus P. Hypermetabolism is a reality in amyotrophic lateral sclerosis compared to healthy subjects. J Neurol Sci 2020; 420:117257. [PMID: 33290920 DOI: 10.1016/j.jns.2020.117257] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/08/2020] [Accepted: 11/25/2020] [Indexed: 12/12/2022]
Abstract
RATIONALE Hypermetabolism (HM) in Amyotrophic lateral sclerosis (ALS) is the reflection of a high energy metabolic level, but this alteration seems controversial. The main objective of the study was to confirm the existence of HM during ALS compared to healthy subjects. METHODS A cohort of ALS patients was compared to a control group without metabolic disorder. The assessment included anthropometric criteria measurements, body composition by bioelectric impedance analysis and resting energy expenditure (REE) by indirect calorimetry. HM was defined as a variation > +10% between measured and calculated REE. Statistical analysis used Mann-Withney and Chi2 tests. Multivariate analysis included logistic regression. RESULTS 287 patients and 75 controls were included. The metabolic level was higher in ALS patients (1500 kcal/24 h [1290-1693] vs. 1230 kcal/24 h [1000-1455], p < 0.0001) as well as the REE/fat free mass ratio (33.5 kcal/kg/24 h [30.4-37.8] vs. 28.3 kcal/kg/24 h [26.1-33.6], p < 0.0001). 55.0% of ALS patients had HM vs. 13.3% of controls (p < 0.0001). HM was strongly and positively associated with ALS (OR = 9.50 [4.49-20.10], p < 0.0001). CONCLUSIONS HM in ALS is a reality, which affects more than half of the patients and is associated with ALS. This work confirms a very frequent metabolic deterioration during ALS. The identification of HM can allow a better adaptation of the patients' nutritional intake.
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Affiliation(s)
- Philippe Fayemendy
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France.
| | - Benoit Marin
- INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France; Center for Epidemiology, Biostatistics and Methodology of Research, University Hospital of Limoges, France
| | - Anaïs Labrunie
- Center for Epidemiology, Biostatistics and Methodology of Research, University Hospital of Limoges, France
| | - Yves Boirie
- University Clermont Auvergne, INRA, UNH, Human Nutrition Unit, CRNH Auvergne, Clermont-Ferrand, France
| | - Stéphane Walrand
- University Clermont Auvergne, INRA, UNH, Human Nutrition Unit, CRNH Auvergne, Clermont-Ferrand, France
| | | | | | - Pierre-Marie Preux
- INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France; Center for Epidemiology, Biostatistics and Methodology of Research, University Hospital of Limoges, France
| | | | - Jean-Claude Desport
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France
| | - Philippe Couratier
- INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France; ALS center, University Hospital of Limoges, France
| | - Pierre Jésus
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM UMR 1094, Tropical Neuroepidemiology, Limoges, France
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46
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Bouscary A, Quessada C, René F, Spedding M, Turner BJ, Henriques A, Ngo ST, Loeffler JP. Sphingolipids metabolism alteration in the central nervous system: Amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases. Semin Cell Dev Biol 2020; 112:82-91. [PMID: 33160824 DOI: 10.1016/j.semcdb.2020.10.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 12/11/2022]
Abstract
Sphingolipids are complex lipids. They play a structural role in neurons, but are also involved in regulating cellular communication, and neuronal differentiation and maturation. There is increasing evidence to suggest that dysregulated metabolism of sphingolipids is linked to neurodegenerative processes in amyotrophic lateral sclerosis (ALS), Parkinson's disease and Gaucher's disease. In this review, we provide an overview of the role of sphingolipids in the development and maintenance of the nervous system. We describe the implications of altered metabolism of sphingolipids in the pathophysiology of certain neurodegenerative diseases, with a primary focus on ALS. Finally, we provide an update of potential treatments that could be used to target the metabolism of sphingolipids in neurodegenerative diseases.
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Affiliation(s)
- Alexandra Bouscary
- Université de Strasbourg, UMR_S 1118, Fédération de Médecine Translationnelle, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France; INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Cyril Quessada
- Université de Strasbourg, UMR_S 1118, Fédération de Médecine Translationnelle, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France; INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Frédérique René
- Université de Strasbourg, UMR_S 1118, Fédération de Médecine Translationnelle, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France; INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Michael Spedding
- Spedding Research Solutions SAS, 6 rue Ampere, 78650 Le Vesinet, France
| | - Bradley J Turner
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, 30 Royal Parade, Parkville, VIC 3052, Australia
| | | | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Building 75, Cnr College Rd & Cooper Rd, Brisbane city, QLD 4072, Australia; Centre for Clinical Research, The University of Queensland, Building 71/918, Royal Brisbane & Women's Hospital Campus, Herston, QLD 4029, Australia; Queensland Brain Institute Building 79, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Jean-Philippe Loeffler
- Université de Strasbourg, UMR_S 1118, Fédération de Médecine Translationnelle, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France; INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, CRBS, 1 rue Eugène Boeckel, 67000 Strasbourg, France.
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47
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Carter GT, McLaughlin RJ, Cuttler C, Sauber GJ, Weeks DL, Hillard CJ, Weiss MD. Endocannabinoids and related lipids in serum from patients with amyotrophic lateral sclerosis. Muscle Nerve 2020; 63:120-126. [PMID: 33094490 DOI: 10.1002/mus.27096] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/09/2020] [Accepted: 10/18/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND The goals of this study were to determine whether serum concentrations of endocannabinoids (eCB) and related lipids predict disease status in patients with amyotrophic lateral sclerosis (ALS) relative to healthy controls, and whether concentrations correlate with disease duration and severity. METHODS Serum concentrations of the eCBs 2-arachidonoylglycerol (2-AG) and N-arachidonoylethanolamine (AEA), and related lipids palmitoylethanolamine (PEA), oleoylethanolamine (OEA), and 2-oleoylglycerol (2-OG), were measured in samples from 47 patients with ALS and 19 healthy adults. Hierarchical binary logistic and linear regression analyses assessed whether lipid concentrations predicted disease status (ALS or healthy control), duration, or severity. RESULTS Binary logistic regression revealed that, after controlling for age and gender, 2-AG, 2-OG and AEA concentrations were unique predictors of the presence of ALS, demonstrating odds ratios of 0.86 (P = .039), 1.03 (P = .023), and 42.17 (P = .026), respectively. When all five lipids and covariates (age, sex, race, ethnicity, body mass index, presence of a feeding tube) were included, the resulting model had an overall classification accuracy of 92.9%. Hierarchical linear regression analyses indicated that in patients with ALS, AEA and OEA inversely correlated with disease duration (P = .030 and .031 respectively), while PEA demonstrated a positive relationship with disease duration (P = .013). None of the lipids examined predicted disease severity. CONCLUSIONS These findings support previous studies indicating significant alterations in concentrations of circulating lipids in patients with ALS. They suggest that arachidonic and oleic acid containing small lipids may serve as biomarkers for identifying the presence and duration of this disease.
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Affiliation(s)
| | - Ryan J McLaughlin
- Department of Integrative Physiology & Neuroscience, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
| | - Carrie Cuttler
- Department of Psychology, Washington State University, Pullman, Washington, USA
| | - Garrett J Sauber
- Department of Pharmacology and Toxicology, Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Douglas L Weeks
- St. Luke's Rehabilitation Institute, Spokane, Washington, USA
| | - Cecilia J Hillard
- Department of Pharmacology and Toxicology, Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Michael D Weiss
- Department of Neurology, University of Washington School of Medicine, Seattle, Washington, USA
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48
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Steyn FJ, Li R, Kirk SE, Tefera TW, Xie TY, Tracey TJ, Kelk D, Wimberger E, Garton FC, Roberts L, Chapman SE, Coombes JS, Leevy WM, Ferri A, Valle C, René F, Loeffler JP, McCombe PA, Henderson RD, Ngo ST. Altered skeletal muscle glucose-fatty acid flux in amyotrophic lateral sclerosis. Brain Commun 2020; 2:fcaa154. [PMID: 33241210 PMCID: PMC7677608 DOI: 10.1093/braincomms/fcaa154] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/20/2020] [Accepted: 08/14/2020] [Indexed: 12/27/2022] Open
Abstract
Amyotrophic lateral sclerosis is characterized by the degeneration of upper and lower motor neurons, yet an increasing number of studies in both mouse models and patients with amyotrophic lateral sclerosis suggest that altered metabolic homeostasis is also a feature of disease. Pre-clinical and clinical studies have shown that modulation of energy balance can be beneficial in amyotrophic lateral sclerosis. However, the capacity to target specific metabolic pathways or mechanisms requires detailed understanding of metabolic dysregulation in amyotrophic lateral sclerosis. Here, using the superoxide dismutase 1, glycine to alanine substitution at amino acid 93 (SOD1G93A) mouse model of amyotrophic lateral sclerosis, we demonstrate that an increase in whole-body metabolism occurs at a time when glycolytic muscle exhibits an increased dependence on fatty acid oxidation. Using myotubes derived from muscle of amyotrophic lateral sclerosis patients, we also show that increased dependence on fatty acid oxidation is associated with increased whole-body energy expenditure. In the present study, increased fatty acid oxidation was associated with slower disease progression. However, within the patient cohort, there was considerable heterogeneity in whole-body metabolism and fuel oxidation profiles. Thus, future studies that decipher specific metabolic changes at an individual patient level are essential for the development of treatments that aim to target metabolic pathways in amyotrophic lateral sclerosis.
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Affiliation(s)
- Frederik J Steyn
- School of Biomedical Sciences, The University of Queensland, St Lucia, Brisbane 4072, Australia.,Centre for Clinical Research, The University of Queensland, Herston, Brisbane 4029, Australia.,Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane 4029, Australia.,Wesley Medical Research, Level 8 East Wing, The Wesley Hospital, Auchenflower 4066, Australia
| | - Rui Li
- School of Biomedical Sciences, The University of Queensland, St Lucia, Brisbane 4072, Australia.,The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Siobhan E Kirk
- The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Tesfaye W Tefera
- The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Teresa Y Xie
- School of Biomedical Sciences, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Timothy J Tracey
- The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Dean Kelk
- The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Elyse Wimberger
- The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Fleur C Garton
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - Llion Roberts
- School of Human Movements and Nutrition Sciences, The University of Queensland, St Lucia, Brisbane 4072, Australia.,School of Allied Health Sciences, Griffith University, Southport, Gold Coast 4222, Australia
| | - Sarah E Chapman
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Jeff S Coombes
- School of Human Movements and Nutrition Sciences, The University of Queensland, St Lucia, Brisbane 4072, Australia
| | - W Matthew Leevy
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Alberto Ferri
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council, Institute of Translational Pharmacology (IFT), Rome, Italy
| | - Cristiana Valle
- IRCCS Fondazione Santa Lucia, Rome, Italy.,National Research Council, Institute of Translational Pharmacology (IFT), Rome, Italy
| | - Frédérique René
- INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, Strasbourg, France.,Université de Strasbourg, UMRS1118, Strasbourg, France
| | - Jean-Philippe Loeffler
- INSERM, U1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, Strasbourg, France.,Université de Strasbourg, UMRS1118, Strasbourg, France
| | - Pamela A McCombe
- Centre for Clinical Research, The University of Queensland, Herston, Brisbane 4029, Australia.,Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane 4029, Australia.,Wesley Medical Research, Level 8 East Wing, The Wesley Hospital, Auchenflower 4066, Australia
| | - Robert D Henderson
- Centre for Clinical Research, The University of Queensland, Herston, Brisbane 4029, Australia.,Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane 4029, Australia.,Wesley Medical Research, Level 8 East Wing, The Wesley Hospital, Auchenflower 4066, Australia
| | - Shyuan T Ngo
- Centre for Clinical Research, The University of Queensland, Herston, Brisbane 4029, Australia.,Department of Neurology, Royal Brisbane & Women's Hospital, Brisbane 4029, Australia.,Wesley Medical Research, Level 8 East Wing, The Wesley Hospital, Auchenflower 4066, Australia.,The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Brisbane 4072, Australia.,Queensland Brain Institute, The University of Queensland, St Lucia, Brisbane 4072, Australia
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49
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Jésus P, Fayemendy P, Marin B, Nicol M, Sourisseau H, Boirie Y, Walrand S, Achamrah N, Coëffier M, Preux PM, Lautrette G, Couratier P, Desport JC. Increased resting energy expenditure compared with predictive theoretical equations in amyotrophic lateral sclerosis. Nutrition 2020; 77:110805. [DOI: 10.1016/j.nut.2020.110805] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 01/12/2020] [Accepted: 03/01/2020] [Indexed: 12/12/2022]
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50
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Janse van Mantgem MR, van Eijk RPA, van der Burgh HK, Tan HHG, Westeneng HJ, van Es MA, Veldink JH, van den Berg LH. Prognostic value of weight loss in patients with amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry 2020; 91:867-875. [PMID: 32576612 DOI: 10.1136/jnnp-2020-322909] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/24/2020] [Accepted: 04/07/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To determine the prevalence and prognostic value of weight loss (WL) prior to diagnosis in patients with amyotrophic lateral sclerosis (ALS). METHODS We enrolled patients diagnosed with ALS between 2010 and 2018 in a population-based setting. At diagnosis, detailed information was obtained regarding the patient's disease characteristics, anthropological changes, ALS-related genotypes and cognitive functioning. Complete survival data were obtained. Cox proportional hazard models were used to assess the association between WL and the risk of death during follow-up. RESULTS The data set comprised 2420 patients of whom 67.5% reported WL at diagnosis. WL occurred in 71.8% of the bulbar-onset and in 64.2% of the spinal-onset patients; the mean loss of body weight was 6.9% (95% CI 6.8 to 6.9) and 5.5% (95% CI 5.5 to 5.6), respectively (p<0.001). WL occurred in 35.1% of the patients without any symptom of dysphagia. WL is a strong independent predictor of survival, with a dose response relationship between the amount of WL and the risk of death: the risk of death during follow-up increased by 23% for every 10% increase in WL relative to body weight (HR 1.23, 95% CI 1.13 to 1.51, p<0.001). CONCLUSIONS This population-based study shows that two-thirds of the patients with ALS have WL at diagnosis, which also occurs independent of dysphagia, and is related to survival. Our results suggest that WL is a multifactorial process that may differ from patient to patient. Gaining further insight in its underlying factors could prove essential for future therapeutic measures.
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Affiliation(s)
| | - Ruben P A van Eijk
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands.,Biostatistics and Research Support, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | | | - Harold H G Tan
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Henk-Jan Westeneng
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Michael A van Es
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Jan H Veldink
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
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