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Shirvani P, Shirvani A, Holick MF. Mitochondrial Dysfunction and Its Potential Molecular Interplay in Hypermobile Ehlers-Danlos Syndrome: A Scoping Review Bridging Cellular Energetics and Genetic Pathways. Curr Issues Mol Biol 2025; 47:134. [PMID: 39996855 PMCID: PMC11854588 DOI: 10.3390/cimb47020134] [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: 01/08/2025] [Revised: 02/11/2025] [Accepted: 02/12/2025] [Indexed: 02/26/2025] Open
Abstract
Hypermobile Ehlers-Danlos Syndrome (hEDS) is a hereditary connective tissue disorder characterized by joint hypermobility, skin hyperextensibility, and systemic manifestations such as chronic fatigue, gastrointestinal dysfunction, and neurological symptoms. Unlike other EDS subtypes with known genetic mutations, hEDS lacks definitive markers, suggesting a multifactorial etiology involving both mitochondrial dysfunction and non-mitochondrial pathways. This scoping review, conducted in accordance with the PRISMA-ScR guidelines, highlights mitochondrial dysfunction as a potential unifying mechanism in hEDS pathophysiology. Impaired oxidative phosphorylation (OXPHOS), elevated reactive oxygen species (ROS) levels, and calcium dysregulation disrupt cellular energetics and extracellular matrix (ECM) homeostasis, contributing to the hallmark features of hEDS. We reviewed candidate genes associated with ECM remodeling, signaling pathways, and immune regulation. Protein-protein interaction (PPI) network analyses revealed interconnected pathways linking mitochondrial dysfunction with these candidate genes. Comparative insights from Fabry disease and fragile X premutation carriers underscore shared mechanisms such as RNA toxicity, matrix metalloproteinases (MMP) activation, and ECM degradation. These findings may suggest that mitochondrial dysfunction amplifies systemic manifestations through its interplay with non-mitochondrial molecular pathways. By integrating these perspectives, this review provides a potential framework for understanding hEDS pathogenesis while highlighting latent avenues for future research into its molecular basis. Understanding the potential role of mitochondrial dysfunction in hEDS not only sheds light on its complex molecular etiology but also opens new paths for targeted interventions.
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Affiliation(s)
| | - Arash Shirvani
- Ehlers-Danlos Syndrome Clinical Research Program, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
| | - Michael F. Holick
- Ehlers-Danlos Syndrome Clinical Research Program, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
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Chanoine JP, Thompson DM, Lehman A. Diabetes Associated With Maternally Inherited Diabetes and Deafness (MIDD): From Pathogenic Variant to Phenotype. Diabetes 2025; 74:153-163. [PMID: 39556456 PMCID: PMC11755681 DOI: 10.2337/db24-0515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 11/13/2024] [Indexed: 11/20/2024]
Abstract
ARTICLE HIGHLIGHTS Maternally inherited diabetes and deafness (MIDD) is a mitochondrial disorder characterized primarily by hearing impairment and diabetes. m.3243A>G, the most common phenotypic variant, causes a complex rewiring of the cell with discontinuous remodeling of both mitochondrial and nuclear genome expressions. We propose that MIDD depends on a combination of insulin resistance and impaired β-cell function that occurs in the presence of high skeletal muscle heteroplasmy (approximately ≥60%) and more moderate cell heteroplasmy (∼25%-72%) for m.3243A>G. Understanding the complex mechanisms of MIDD is necessary to develop disease-specific management guidelines that are presently lacking.
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Affiliation(s)
- Jean-Pierre Chanoine
- Endocrinology and Diabetes Unit, Department of Pediatrics, BC Children’s Hospital and The University of British Columbia, Vancouver, British Columbia, Canada
| | - David M. Thompson
- Division of Endocrinology, Department of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Anna Lehman
- Department of Medical Genetics, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
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Tamaroff J, Nguyen S, Wilson NE, Stefanovski D, Xiao R, Scattergood T, Capiola C, Schur GM, Dunn J, Dedio A, Wade K, Shah H, Sharma R, Mootha VK, Kelly A, Lin KY, Lynch DR, Reddy R, Rickels MR, McCormack SE. Insulin Sensitivity and Insulin Secretion in Adults With Friedreich's Ataxia: The Role of Skeletal Muscle. J Clin Endocrinol Metab 2025; 110:317-333. [PMID: 39109797 PMCID: PMC11747682 DOI: 10.1210/clinem/dgae545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/28/2024] [Accepted: 08/05/2024] [Indexed: 09/12/2024]
Abstract
INTRODUCTION Friedreich's ataxia (FRDA) is a multisystem disorder caused by frataxin deficiency. FRDA-related diabetes mellitus (DM) is common. Frataxin supports skeletal muscle mitochondrial oxidative phosphorylation (OXPHOS) capacity, a mediator of insulin sensitivity. Our objective was to test the association between skeletal muscle health and insulin sensitivity and secretion in adults with FRDA without DM. METHODS Case-control study (NCT02920671). Glucose and insulin metabolism (stable-isotope oral glucose tolerance tests), body composition (dual-energy x-ray absorptiometry), physical activity (self-report), and skeletal muscle OXPHOS capacity (creatine chemical exchange saturation transfer magnetic resonance imaging) were assessed. RESULTS Participants included 11 individuals with FRDA (4 female), median age 27 years (interquartile range 23, 39), body mass index 26.9 kg/m2 (24.1, 29.4), and 24 controls (11 female), 29 years (26, 39), 24.4 kg/m2 (21.8, 27.0). Fasting glucose was higher in FRDA [91 vs 83 mg/dL (5.0 vs 4.6 mmol/L), P < .05]. Individuals with FRDA had lower insulin sensitivity (whole-body insulin sensitivity index 2.8 vs 5.3, P < .01), higher postprandial insulin secretion (insulin secretory rate incremental area under the curve 30-180 minutes, 24 652 vs 17,858, P < .05), and more suppressed postprandial endogenous glucose production (-.9% vs 26.9% of fasting endogenous glucose production, P < .05). In regression analyses, lower OXPHOS and inactivity explained some of the difference in insulin sensitivity. More visceral fat contributed to lower insulin sensitivity independent of FRDA. Insulin secretion accounting for sensitivity (disposition index) was not different. CONCLUSION Lower mitochondrial OXPHOS capacity, inactivity, and visceral adiposity contribute to lower insulin sensitivity in FRDA. Higher insulin secretion appears compensatory and, when inadequate, could herald DM. Further studies are needed to determine if muscle- or adipose-focused interventions could delay FRDA-related DM.
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Affiliation(s)
- Jaclyn Tamaroff
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Pediatric Endocrinology and Diabetes, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Sara Nguyen
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Neil E Wilson
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Darko Stefanovski
- New Bolton Center, University of Pennsylvania School of Veterinary Medicine, Kennett Square, PA 19348, USA
| | - Rui Xiao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Theresa Scattergood
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christopher Capiola
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gayatri Maria Schur
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Medical Scientist Training Program, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Julia Dunn
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anna Dedio
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kristin Wade
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hardik Shah
- Department of Molecular Biology, Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute, Cambridge, MA 02142, USA
- Metabolomics Platform, Comprehensive Cancer Center, The University of Chicago, Chicago, IL 60637, USA
| | - Rohit Sharma
- Department of Molecular Biology, Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute, Cambridge, MA 02142, USA
| | - Vamsi K Mootha
- Department of Molecular Biology, Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute, Cambridge, MA 02142, USA
| | - Andrea Kelly
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kimberly Y Lin
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Pediatric Cardiology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - David R Lynch
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ravinder Reddy
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael R Rickels
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shana E McCormack
- Division of Pediatric Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
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Lischewski SA, Konrad K, Dogan I, Didszun C, Costa AS, Schawohl SA, Giunti P, Parkinson MH, Mariotti C, Nanetti L, Durr A, Ewenczyk C, Boesch S, Nachbauer W, Klopstock T, Stendel C, de Rivera Garrido FJR, Schöls L, Fleszar Z, Klockgether T, Grobe‐Einsler M, Giordano I, Rai M, Pandolfo M, Schulz JB, Reetz K. Longitudinal analysis of anthropometric measures over 5 years in patients with Friedreich ataxia in the EFACTS natural history study. Eur J Neurol 2025; 32:e70011. [PMID: 39797559 PMCID: PMC11724196 DOI: 10.1111/ene.70011] [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: 09/09/2024] [Accepted: 12/06/2024] [Indexed: 01/13/2025]
Abstract
BACKGROUND Friedreich ataxia is a rare neurodegenerative disorder caused by frataxin deficiency. Both underweight and overweight occur in mitochondrial disorders, each with adverse health outcomes. We investigated the longitudinal evolution of anthropometric abnormalities in Friedreich ataxia and the hypothesis that both weight loss and weight gain are associated with faster disease progression. METHODS Participants were drawn from the European Friedreich's Ataxia Consortium for Translational Studies (EFACTS). Age- and sex-specific BMI and height scores were calculated using the KIGGS-BMI percentiles for children. Height correction was applied for scoliosis. Longitudinal data were analysed using linear mixed effects models and incremental standard deviation scores and growth mixture models identified subclasses with varying BMI trajectories. RESULTS Five hundred and forty-three adults and fifty-nine children were assessed for up to 5 years. In children, severe underweight (26%), underweight (7%), severe short stature (16%) and short stature (23%) were common. The corrected BMI percentile was stable in children, although 48% had negative incremental BMI scores over 1 year and 63% over 3 years versus 10%/year in a normal reference cohort. Overweight was common in adults (19%), with a slight increase in BMI over time. Longer GAA repeat size was linked to lower BMI in adults. Weight trajectory was not associated with ataxia progression in adults. CONCLUSION Significant anthropometric abnormalities were identified, with underweight and short stature prevalent in children and overweight in adults. These findings highlight the need for regular nutritional monitoring and interventions to manage underweight in children and promote healthy weight in adults.
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Affiliation(s)
| | - Kerstin Konrad
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbHJülichGermany
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity Hospital, RWTHAachenGermany
| | - Imis Dogan
- Department of NeurologyRWTH Aachen UniversityAachenGermany
| | - Claire Didszun
- Department of NeurologyRWTH Aachen UniversityAachenGermany
| | - Ana Sofia Costa
- Department of NeurologyRWTH Aachen UniversityAachenGermany
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbHJülichGermany
| | | | - Paola Giunti
- Ataxia Centre, Department of Clinical and Movement NeurosciencesUCL‐Queen Square Institute of NeurologyLondonUK
| | - Michael H. Parkinson
- Ataxia Centre, Department of Clinical and Movement NeurosciencesUCL‐Queen Square Institute of NeurologyLondonUK
| | - Caterina Mariotti
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Lorenzo Nanetti
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Alexandra Durr
- Paris Brain Institute, ICM Institut du Cerveau, AP‐HP, INSERM, CNRS, University Hospital Pitié‐Salpêtrière, Sorbonne UniversiteParisFrance
| | - Claire Ewenczyk
- Paris Brain Institute, ICM Institut du Cerveau, AP‐HP, INSERM, CNRS, University Hospital Pitié‐Salpêtrière, Sorbonne UniversiteParisFrance
| | - Sylvia Boesch
- Department of NeurologyMedical University InnsbruckInnsbruckAustria
| | | | - Thomas Klopstock
- Department of NeurologyFriedrich Baur Institute, University Hospital, LMUMunichGermany
- German Center for Neurodegenerative DiseasesMunichGermany
- Munich Cluster for Systems NeurologyMunichGermany
| | - Claudia Stendel
- Department of NeurologyFriedrich Baur Institute, University Hospital, LMUMunichGermany
- German Center for Neurodegenerative DiseasesMunichGermany
| | | | - Ludger Schöls
- Department of Neurology and Hertie‐Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
- German Center for Neurodegenerative DiseasesTübingenGermany
| | - Zofia Fleszar
- Department of Neurology and Hertie‐Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
- German Center for Neurodegenerative DiseasesTübingenGermany
| | - Thomas Klockgether
- Department of NeurologyUniversity Hospital of BonnBonnGermany
- German Center for Neurodegenerative DiseasesBonnGermany
| | - Marcus Grobe‐Einsler
- Department of NeurologyUniversity Hospital of BonnBonnGermany
- German Center for Neurodegenerative DiseasesBonnGermany
| | - Ilaria Giordano
- Department of NeurologyUniversity Hospital of BonnBonnGermany
| | - Myriam Rai
- Friedreich Ataxia Research AllianceDowningtownPennsylvaniaUSA
| | - Massimo Pandolfo
- Laboratory of Experimental NeurologyUniversité Libre de BruxellesBrusselsBelgium
| | - Jörg B. Schulz
- Department of NeurologyRWTH Aachen UniversityAachenGermany
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbHJülichGermany
| | - Kathrin Reetz
- Department of NeurologyRWTH Aachen UniversityAachenGermany
- JARA‐BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbHJülichGermany
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Oorschot S, Voorn E, Van Groenestijn A, Nollet F, Brehm M. Physical strain of walking in people with neuromuscular diseases is high and relates to step activity in daily life. J Rehabil Med 2024; 56:jrm40026. [PMID: 38850055 PMCID: PMC11182032 DOI: 10.2340/jrm.v56.40026] [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: 02/09/2024] [Accepted: 05/13/2024] [Indexed: 06/09/2024] Open
Abstract
OBJECTIVE To determine the physical strain of walking and assess its relationship with daily steps and intensity of daily activity in people with neuromuscular diseases. DESIGN Cross-sectional study. SUBJECTS/PATIENTS Sixty-one adults with neuromuscular diseases. METHODS Physical strain of walking, defined as oxygen consumption during comfortable walking relative to peak oxygen uptake. Daily step count and daily time spent in moderate and vigorous physical activity were assessed using accelerometry and heart rate measurements, respectively. Regression analyses assessed the relationships between log daily step count and log daily time spent in moderate and vigorous physical activity, and physical strain of walking. RESULTS The mean (standard deviation) physical strain of walking was 73 (20)% Log daily step count and physical strain were negatively associated (β = -0.47). No association was found with log daily time spent in moderate and vigorous physical activity. CONCLUSIONS The highly increased physical strain of comfortable walking indicates that walking is very demanding for people with neuromuscular diseases and is associated with a reduction in daily step activity. The absence of a relationship between intensity of activities and physical strain indicates that, despite a reduction in daily step activity, strenuous daily activities may still be performed.
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Affiliation(s)
- Sander Oorschot
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands.
| | - Eric Voorn
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands
| | - Annerieke Van Groenestijn
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands
| | - Frans Nollet
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands
| | - Merel Brehm
- Department of Rehabilitation Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands
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Rocha JQS, Caputo EL, Vieira YP, Afonso MDS, Duro SMS, de Oliveira Saes M. Physical activity status prevents symptoms of long covid: Sulcovid-19 survey. BMC Sports Sci Med Rehabil 2023; 15:170. [PMID: 38098110 PMCID: PMC10722691 DOI: 10.1186/s13102-023-00782-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/04/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Physical activity is indicated as a treatment for Long COVID, but prevention is unknown. This study aimed to investigate the relationship between physical activity (PA) before and after acute SARS-Cov-2 infection and the presence of Long COVID symptoms in adults. METHODS We used data from the Sulcovid-19, a longitudinal study carried out with individuals who were infected by SARS-Cov-2 between December/2020 and March/2021. Participants were asked about 19 symptoms commonly associated with long COVID. Three PA variables were built, as follows: (1) remained inactive; (2) became inactive; (3) remained active. RESULTS 2.919 people were interviewed. The prevalence of individuals who had at least one symptom of Long COVID is 48.3% (95%CI 46.5-51.1). Our results showed that 71.8% (95%CI 70.1-73.4) of the individuals remained inactive, 14.9% (95%CI 13.6-16.2) became inactive and 13.3% (95% CI 12.1-14.6) remained active. The likelihood of experiencing long COVID symptoms was reduced in the musculoskeletal (PR 0.70; 95%CI 0.49-0.99), neurological (PR 0.61; 95%CI 0.43-0.88), and respiratory (PR 0.58; 95%CI 0.35-0.96) systems in those who remained active. In addition, the likelihood of experiencing Long COVID symptoms was 7% less in those who remained active. CONCLUSIONS Continuous PA practice showed important protection effect for Long COVID symptoms in adults.
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Affiliation(s)
- Juliana Quadros Santos Rocha
- Federal University of Rio Grande, Visconde de Paranaguá, 102, Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil.
| | | | - Yohana Pereira Vieira
- Federal University of Rio Grande, Visconde de Paranaguá, 102, Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil
| | - Max Dos Santos Afonso
- Federal University of Rio Grande, Visconde de Paranaguá, 102, Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil
| | | | - Mirelle de Oliveira Saes
- Federal University of Rio Grande, Visconde de Paranaguá, 102, Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil
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7
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DiVito D, Wellik A, Burfield J, Peterson J, Flickinger J, Tindall A, Albanowski K, Vishnubhatt S, MacMullen L, Martin I, Muraresku C, McCormick E, George-Sankoh I, McCormack S, Goldstein A, Ganetzky R, Yudkoff M, Xiao R, Falk MJ, R Mascarenhas M, Zolkipli-Cunningham Z. Optimized Nutrition in Mitochondrial Disease Correlates to Improved Muscle Fatigue, Strength, and Quality of Life. Neurotherapeutics 2023; 20:1723-1745. [PMID: 37723406 PMCID: PMC10684455 DOI: 10.1007/s13311-023-01418-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2023] [Indexed: 09/20/2023] Open
Abstract
We sought to prospectively characterize the nutritional status of adults ≥ 19 years (n = 22, 27% males) and children (n = 38, 61% male) with genetically-confirmed primary mitochondrial disease (PMD) to guide development of precision nutritional support strategies to be tested in future clinical trials. We excluded subjects who were exclusively tube-fed. Daily caloric requirements were estimated using World Health Organization (WHO) equations to predict resting energy expenditure (REE) multiplied by an activity factor (AF) based on individual activity levels. We developed a Mitochondrial Disease Activity Factors (MOTIVATOR) score to encompass the impact of muscle fatigue typical of PMD on physical activity levels. PMD cohort daily diet intake was estimated to be 1,143 ± 104.1 kcal in adults (mean ± SEM, 76.2% of WHO-MOTIVATOR predicted requirement), and 1,114 ± 62.3 kcal in children (86.4% predicted). A total of 11/22 (50%) adults and 18/38 (47.4%) children with PMD consumed ≤ 75% predicted daily Kcal needs. Malnutrition was identified in 16/60 (26.7%) PMD subjects. Increased protein and fat intake correlated with improved muscle strength in those with insufficient daily Kcal intake (≤ 75% predicted); higher protein and fat intake correlated with decreased muscle fatigue; and higher protein, fat, and carbohydrate intake correlated with improved quality of life (QoL). These data demonstrate the frequent occurrence of malnutrition in PMD and emphasize the critical need to devise nutritional interventions to optimize clinical outcomes.
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Affiliation(s)
- Donna DiVito
- Clinical Nutrition Department, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Amanda Wellik
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jessica Burfield
- Clinical Nutrition Department, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - James Peterson
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jean Flickinger
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Alyssa Tindall
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kimberly Albanowski
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Shailee Vishnubhatt
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura MacMullen
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Isaac Martin
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Colleen Muraresku
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth McCormick
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ibrahim George-Sankoh
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Shana McCormack
- Division of Endocrinology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Amy Goldstein
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Ganetzky
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marc Yudkoff
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rui Xiao
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marni J Falk
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Maria R Mascarenhas
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Zarazuela Zolkipli-Cunningham
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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8
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Feter N, Caputo EL, Delpino FM, Leite JS, da Silva LS, de Almeida Paz I, Santos Rocha JQ, Vieira YP, Schröeder N, da Silva CN, Baptista Gonçalves JC, da Costa Pereira H, Barbosa TA, Cassuriaga J, da Silva MC, Reichert FF, Rombaldi AJ. Physical activity and long COVID: findings from the Prospective Study About Mental and Physical Health in Adults cohort. Public Health 2023; 220:148-154. [PMID: 37320945 DOI: 10.1016/j.puhe.2023.05.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/02/2023] [Accepted: 05/10/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVES The study investigated the longitudinal association between physical activity and the risk of long COVID in patients who recovered from COVID-19 infection. STUDY DESIGN We analyzed longitudinal data of the Prospective Study About Mental and Physical Health cohort, a prospective cohort study with adults living in Southern Brazil. METHODS Participants responded to an online, self-administered questionnaire in June 2020 (wave 1) and June 2022 (wave 4). Only participants who self-reported a positive test for COVID-19 were included. Physical activity was assessed before (wave 1, retrospectively) and during the pandemic (wave 1). Long COVID was assessed in wave 4 and defined as any post-COVID-19 symptoms that persisted for at least 3 months after infection. RESULTS A total of 237 participants (75.1% women; mean age [standard deviation]: 37.1 [12.3]) were included in this study. The prevalence of physical inactivity in baseline was 71.7%, whereas 76.4% were classified with long COVID in wave 4. In the multivariate analysis, physical activity during the pandemic was associated with a reduced likelihood of long COVID (prevalence ratio [PR]: 0.83; 95% confidence interval [CI]: 0.69-0.99) and a reduced duration of long COVID symptoms (odds ratio: 0.44; 95% CI: 0.26-0.75). Participants who remained physically active from before to during the pandemic were less likely to report long COVID (PR: 0.74; 95% CI: 0.58-0.95), fatigue (PR: 0.49; 95% CI: 0.32-0.76), neurological complications (PR: 0.47; 95% CI: 0.27-0.80), cough (PR: 0.40; 95% CI: 0.22-0.71), and loss of sense of smell or taste (PR: 0.43; 95% CI: 0.21-0.87) as symptom-specific long COVID. CONCLUSION Physical activity practice was associated with reduced risk of long COVID in adults.
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Affiliation(s)
- N Feter
- Postgraduate Program in Epidemiology, Medicine School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
| | - E L Caputo
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - F M Delpino
- Postgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - J S Leite
- Postgraduate Program in Health Sciences, Medicine School, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - L S da Silva
- Postgraduate Program in Epidemiology, Medicine School, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - I de Almeida Paz
- Postgraduate Program in Human Movement Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - J Q Santos Rocha
- Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Y P Vieira
- Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - N Schröeder
- Food, Nutrition and Health Postgraduate Program, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - C N da Silva
- Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - J C Baptista Gonçalves
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - H da Costa Pereira
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - T A Barbosa
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - J Cassuriaga
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - M C da Silva
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - F F Reichert
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - A J Rombaldi
- Postgraduate Program in Physical Education, School of Physical Education, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, Brazil
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Dar GM, Ahmad E, Ali A, Mahajan B, Ashraf GM, Saluja SS. Genetic aberration analysis of mitochondrial respiratory complex I implications in the development of neurological disorders and their clinical significance. Ageing Res Rev 2023; 87:101906. [PMID: 36905963 DOI: 10.1016/j.arr.2023.101906] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 03/02/2023] [Accepted: 03/05/2023] [Indexed: 03/11/2023]
Abstract
Growing neurological diseases pose difficult challenges for modern medicine to diagnose and manage them effectively. Many neurological disorders mainly occur due to genetic alteration in genes encoding mitochondrial proteins. Moreover, mitochondrial genes exhibit a higher rate of mutation due to the generation of Reactive oxygen species (ROS) during oxidative phosphorylation operating in their vicinity. Among the different complexes of Electron transport chain (ETC), NADH: Ubiquinone oxidoreductase (Mitochondrial complex I) is the most important. This multimeric enzyme, composed of 44 subunits, is encoded by both nuclear and mitochondrial genes. It often exhibits mutations resulting in development of various neurological diseases. The most prominent diseases include leigh syndrome (LS), leber hereditary optic neuropathy (LHON), mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS), myoclonic epilepsy associated with ragged-red fibers (MERRF), idiopathic Parkinson's disease (PD) and, Alzheimer's disease (AD). Preliminary data suggest that mitochondrial complex I subunit genes mutated are frequently of nuclear origin; however, most of the mtDNA gene encoding subunits are also primarily involved. In this review, we have discussed the genetic origins of neurological disorders involving mitochondrial complex I and signified recent approaches to unravel the diagnostic and therapeutic potentials and their management.
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Affiliation(s)
- Ghulam Mehdi Dar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India
| | - Ejaj Ahmad
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India
| | - Asgar Ali
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India
| | - Bhawna Mahajan
- Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India
| | - Ghulam Md Ashraf
- Department of Medical Laboratory Sciences, College of Health Sciences, and Sharjah Institute for Medical Research, University of Sharjah, Sharjah 27272, United Arab Emirates.
| | - Sundeep Singh Saluja
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India; Department of GI Surgery, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), New Delhi 110002, India.
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10
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Sturm G, Karan KR, Monzel AS, Santhanam B, Taivassalo T, Bris C, Ware SA, Cross M, Towheed A, Higgins-Chen A, McManus MJ, Cardenas A, Lin J, Epel ES, Rahman S, Vissing J, Grassi B, Levine M, Horvath S, Haller RG, Lenaers G, Wallace DC, St-Onge MP, Tavazoie S, Procaccio V, Kaufman BA, Seifert EL, Hirano M, Picard M. OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases. Commun Biol 2023; 6:22. [PMID: 36635485 PMCID: PMC9837150 DOI: 10.1038/s42003-022-04303-x] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/26/2022] [Indexed: 01/13/2023] Open
Abstract
Patients with primary mitochondrial oxidative phosphorylation (OxPhos) defects present with fatigue and multi-system disorders, are often lean, and die prematurely, but the mechanistic basis for this clinical picture remains unclear. By integrating data from 17 cohorts of patients with mitochondrial diseases (n = 690) we find evidence that these disorders increase resting energy expenditure, a state termed hypermetabolism. We examine this phenomenon longitudinally in patient-derived fibroblasts from multiple donors. Genetically or pharmacologically disrupting OxPhos approximately doubles cellular energy expenditure. This cell-autonomous state of hypermetabolism occurs despite near-normal OxPhos coupling efficiency, excluding uncoupling as a general mechanism. Instead, hypermetabolism is associated with mitochondrial DNA instability, activation of the integrated stress response (ISR), and increased extracellular secretion of age-related cytokines and metabokines including GDF15. In parallel, OxPhos defects accelerate telomere erosion and epigenetic aging per cell division, consistent with evidence that excess energy expenditure accelerates biological aging. To explore potential mechanisms for these effects, we generate a longitudinal RNASeq and DNA methylation resource dataset, which reveals conserved, energetically demanding, genome-wide recalibrations. Taken together, these findings highlight the need to understand how OxPhos defects influence the energetic cost of living, and the link between hypermetabolism and aging in cells and patients with mitochondrial diseases.
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Affiliation(s)
- Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Kalpita R Karan
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Anna S Monzel
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Balaji Santhanam
- Departments of Biological Sciences, Systems Biology, and Biochemistry and Molecular Biophysics, Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Tanja Taivassalo
- Department of Physiology and Functional Genomics, Clinical and Translational Research Building, University of Florida, Gainesville, FL, USA
| | - Céline Bris
- Department of Genetics and Neurology, Angers Hospital, Angers, France
- UMR CNRS 6015, INSERM U1083, MITOVASC, SFR ICAT, Université d'Angers, Angers, France
| | - Sarah A Ware
- Department of Medicine, Vascular Medicine Institute and Center for Metabolic and Mitochondrial Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marissa Cross
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Atif Towheed
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Internal Medicine-Pediatrics Residency Program, University of Pittsburgh Medical Centre, Pittsburgh, PA, USA
| | - Albert Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Meagan J McManus
- Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Elissa S Epel
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Shamima Rahman
- Mitochondrial Research Group, UCL Great Ormond Street Institute of Child Health, and Metabolic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bruno Grassi
- Department of Medicine, University of Udine, Udine, Italy
| | | | | | - Ronald G Haller
- Neuromuscular Center, Institute for Exercise and Environmental Medicine of Texas Health Resources and Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Guy Lenaers
- Department of Genetics and Neurology, Angers Hospital, Angers, France
- UMR CNRS 6015, INSERM U1083, MITOVASC, SFR ICAT, Université d'Angers, Angers, France
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Marie-Pierre St-Onge
- Center of Excellence for Sleep & Circadian Research and Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Saeed Tavazoie
- Departments of Biological Sciences, Systems Biology, and Biochemistry and Molecular Biophysics, Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Vincent Procaccio
- Department of Genetics and Neurology, Angers Hospital, Angers, France
- UMR CNRS 6015, INSERM U1083, MITOVASC, SFR ICAT, Université d'Angers, Angers, France
| | - Brett A Kaufman
- Department of Medicine, Vascular Medicine Institute and Center for Metabolic and Mitochondrial Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erin L Seifert
- Department of Pathology and Genomic Medicine, and MitoCare Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Michio Hirano
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
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11
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Nikhanj A, Bautista J, Siddiqi ZA, Phan CL, Oudit GY. Low Prevalence of Cardiomyopathy in Patients with Mitochondrial Disease and Neurological Manifestations. J Cardiovasc Dev Dis 2022; 9:jcdd9070221. [PMID: 35877583 PMCID: PMC9320353 DOI: 10.3390/jcdd9070221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 02/01/2023] Open
Abstract
Patients with mitochondrial diseases can develop cardiomyopathy but with variable expressivity and penetrance. Our prospective study enrolled and evaluated a cohort of 53 patients diagnosed with chronic progressive ophthalmoplegia (CPEO, n = 34), Kearns-Sayre syndrome (KSS, n = 3), neuropathy ataxia and retinitis pigmentosa (NARP, n = 1), myoclonic epilepsy with ragged red fibers (MERRF, n = 1), Harel-Yoon Syndrome (HYS, n = 1) and 13 patients with undefined mitochondrial diseases, presenting primarily with neurological symptoms. Over a 4-year period, six patients in our study cohort were diagnosed with heart disease (11.3%), with only three patients having defined cardiomyopathy (5.7%). Cardiomyopathy was present in a 21-year-old patient with HYS and two CPEO patients having mild cardiomyopathy at an older age. Two CPEO patients had congenital heart disease, and a third CPEO had LV hypertrophy secondary to hypertension. In three patients, traditional risk factors for heart disease, including dyslipidemia, hypertension, and respiratory disease, were present. The majority of our adult cohort of patients have normal cardiac investigations with a median left ventricular (LV) ejection fraction of 59.0%, indexed LV mass of 67.0 g/m2, and normal diastolic and valvular function at baseline. A 12-lead electrocardiogram showed normal cardiac conduction across the study cohort. Importantly, follow-up assessments showed consistent cardiac structure and function. Our study shows a low prevalence of cardiomyopathy and highlights the breadth of phenotypic variability in patients with mitochondrial disorders. The presence of cardiovascular risk factors and aging are important comorbidities in our cohort.
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Affiliation(s)
- Anish Nikhanj
- Division of Cardiology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada;
- Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Jesi Bautista
- Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada; (J.B.); (Z.A.S.); (C.L.P.)
| | - Zaeem A. Siddiqi
- Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada; (J.B.); (Z.A.S.); (C.L.P.)
| | - Cecile L. Phan
- Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada; (J.B.); (Z.A.S.); (C.L.P.)
| | - Gavin Y. Oudit
- Division of Cardiology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R3, Canada;
- Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, AB T6G 2R3, Canada
- Correspondence: ; Tel.: +780-407-8569; Fax: +780-407-6452
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12
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Boesch SM, Indelicato E. Body Mass Index and Height in Friedreich Ataxia: What Do We Know? Neurol Genet 2021; 7:e637. [PMID: 34786479 PMCID: PMC8589261 DOI: 10.1212/nxg.0000000000000637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/28/2021] [Indexed: 11/15/2022]
Affiliation(s)
- Sylvia M. Boesch
- From the Department of Neurology, Center for Rare Movement Disorders Innsbruck, Medical University Innsbruck, Austria
| | - Elisabetta Indelicato
- From the Department of Neurology, Center for Rare Movement Disorders Innsbruck, Medical University Innsbruck, Austria
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13
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Patel M, McCormick A, Tamaroff J, Dunn J, Mitchell JA, Lin KY, Farmer J, Rummey C, Perlman SL, Delatycki MB, Wilmot GR, Mathews KD, Yoon G, Hoyle J, Corti M, Subramony S, Zesiewicz T, Lynch D, McCormack SE. Body Mass Index and Height in the Friedreich Ataxia Clinical Outcome Measures Study. Neurol Genet 2021; 7:e638. [PMID: 34786480 PMCID: PMC8589265 DOI: 10.1212/nxg.0000000000000638] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/31/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND OBJECTIVES Body mass index (BMI) and height are important indices of health. We tested the association between these outcomes and clinical characteristics in Friedreich ataxia (FRDA), a progressive neuromuscular disorder. METHODS Participants (N = 961) were enrolled in a prospective natural history study (Friedreich Ataxia Clinical Outcome Measure Study). Age- and sex-specific BMI and height Z-scores were calculated using CDC 2000 references for participants younger than 18 years. For adults aged 18 years or older, height Z-scores were also calculated, and absolute BMI was reported. Univariate and multivariate linear regression analyses tested the associations between exposures, covariates, and BMI or height measured at the baseline visit. In children, the superimposition by translation and rotation analysis method was used to compare linear growth trajectories between FRDA and a healthy reference cohort, the Bone Mineral Density in Childhood Study (n = 1,535 used for analysis). RESULTS Median age at the baseline was 20 years (IQR, 13-33 years); 49% (n = 475) were women. A substantial proportion of children (17%) were underweight (BMI-Z < fifth percentile), and female sex was associated with lower BMI-Z (β = -0.34, p < 0.05). In adults, older age was associated with higher BMI (β = 0.09, p < 0.05). Regarding height, in children, older age (β -0.06, p < 0.05) and worse modified Friedreich Ataxia Rating Scale (mFARS) scores (β = -1.05 for fourth quartile vs first quartile, p < 0.01) were associated with shorter stature. In girls, the magnitude of the pubertal growth spurt was less, and in boys, the pubertal growth spurt occurred later (p < 0.001 for both) than in a healthy reference cohort. In adults, in unadjusted analyses, both earlier age of FRDA symptom onset (=0.09, p < 0.05) and longer guanine-adenine-adenine repeat length (shorter of the 2 GAA repeats, β = -0.12, p < 0.01) were associated with shorter stature. Both adults and children with higher mFARS scores and/or who were nonambulatory were less likely to have height and weight measurements recorded at clinical visits. DISCUSSION FRDA affects both weight gain and linear growth. These insights will inform assessments of affected individuals in both research and clinical settings.
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Affiliation(s)
- Maya Patel
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Ashley McCormick
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Jaclyn Tamaroff
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Julia Dunn
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Jonathan A. Mitchell
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Kimberly Y. Lin
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Jennifer Farmer
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Christian Rummey
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Susan L. Perlman
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Martin B. Delatycki
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - George R. Wilmot
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Katherine D. Mathews
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Grace Yoon
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Joseph Hoyle
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Manuela Corti
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - S.H. Subramony
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Theresa Zesiewicz
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - David Lynch
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
| | - Shana E. McCormack
- From the Division of Neurology (M.P., A.M.C., J.F., D.L.), Children's Hospital of Philadelphia; Department of Neurology (M.P., A.M.C., D.L.), Perelman School of Medicine at the University of Pennsylvania; Division of Endocrinology and Diabetes (J.T., J.D., S.E.M.), Children's Hospital of Philadelphia; Department of Pediatrics (J.A.M, K.Y.L., S.E.M.), Perelman School of Medicine at the University of Pennsylvania; Division of Gastroenterology (J.A.M.), Hepatology and Nutrition, Children's Hospital of Philadelphia; Division of Cardiology (K.Y.L), Children's Hospital of Philadelphia; Friedreich's Ataxia Research Alliance (J.F.); Clinical Data Science GmbH (C.R.), Basel, Switzerland; Department of Neurology (S.L.P), University of California Los Angeles; Murdoch Children's Research Institute (M.B.D.), Victoria, Australia; Department of Neurology (G.R.W), Emory University School of Medicine, Atlanta, Georgia; Department of Pediatrics (K.D.M.), University of Iowa Carver College of Medicine, Iowa; Divisions of Neurology (G.Y.) and Clinical and Metabolic Genetics, Department of Paediatrics, the Hospital for Sick Children, University of Toronto, Ontario, Canada; Department of Neurology (J.H.), Ohio State University College of Medicine, Columbus, Ohio; Department of Neurology (M.C., S.H.S.), University of Florida, College of Medicine, Gainesville, Florida; Department of Neurology (T.Z.), University of South Florida, Tampa, Florida
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Kahr Andersen L, Vissing J. Habitual Physical Activity in Patients with Myasthenia Gravis Assessed by Accelerometry and Questionnaire. J Neuromuscul Dis 2021; 9:161-169. [PMID: 34334414 DOI: 10.3233/jnd-210693] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Physical activity (PA) in patients with myasthenia gravis (MG) is considered safe and beneficial, and an active lifestyle is required to obtain the health benefits of exercise. However, as the disease leads to physical impairments an insight into the overall PA habits in this patient population is relevant but lacking. OBJECTIVE To measure habitual physical activity in a Danish cohort of patients with MG measured by accelerometer and questionnaire, and to determine relevant predictors for PA intensities. METHODS Habitual physical activity was assessed by; 1) the accelerometer Acti Graph in a cohort of patients recruited from our neuromuscular clinic, 2) the International Physical Activity Questionnaire (IPAQ) in a web-based survey. PA levels were compared to international recommendations. Predictors for PA (age, sex, body mass index, disease severity and duration) were included in the regression analyses. RESULTS Habitual physical activity was measured by accelerometer for 7 days in 69 patients and by questionnaire in 691 patients. Measured by the accelerometer, 46%of the patients did not meet the international recommendations for PA at moderate/vigorous intensity and 57%were below the recommendations for steps per day. Measured by the IPAQ, 48%did not meet the recommendations. Disease severity and age were predictors for PA intensities. CONCLUSIONS This study found that around half of the included patients did not meet the recommendations for PA. This is a concern, as it increases the risk of life-style related diseases. Disease severity and age may be taking into consideration when counseling the patients about PA.
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Affiliation(s)
- Linda Kahr Andersen
- Copenhagen Neuromuscular Center, Department of Neurology, Copenhagen University Hospital -Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Copenhagen University Hospital -Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Andersen LK, Aadahl M, Vissing J. Fatigue, physical activity and associated factors in 779 patients with myasthenia gravis. Neuromuscul Disord 2021; 31:716-725. [PMID: 34303571 DOI: 10.1016/j.nmd.2021.05.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 04/21/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022]
Abstract
The objective of the study was to examine the association between fatigue (measured by the Multidimensional Fatigue Inventory; MFI-20) and physical activity (measured by the Saltin-Grimby Physical Activity Level Scale; SGPALS) in a large cohort of patients (≥18 years) with myasthenia gravis (MG) including relevant disease - and lifestyle-related factors. A total of 1463 persons, registered at the Danish National Registry of Patients with a MG diagnosis, according to the International Classification of Diseases, received a web-based survey. A total of 779 patients (53% women, mean [SD] age 60.8 [15.5]) responded. The remaining persons were either non-responders (n = 390) or could not confirm the MG diagnosis (n = 294). The most prominent MFI-20 fatigue domains were general fatigue (median [inter-quartile ranges, IQR], 13 [10-16]) and physical fatigue (median [IQR], 13 [9-15]), and 386 (53%) patients reported low levels of physical activity. All fatigue domains were associated with physical activity (p<.01). Higher level of physical activity was associated with lower levels of fatigue. Important factors for the association were myasthenia gravis disease severity (measured by the Myasthenia Gravis Activities of Daily Living profile), body mass index, insomnia (measured by the Insomnia Severity Index) job-status, comorbidity, and cohabitation.
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Affiliation(s)
- Linda Kahr Andersen
- Copenhagen Neuromuscular Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Inge Lehmanns Vej 8, 2100 Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
| | - Mette Aadahl
- Center for Clinical Research and Prevention, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Physical and Occupational Therapy, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Inge Lehmanns Vej 8, 2100 Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Jones K, Hawke F, Newman J, Miller JA, Burns J, Jakovljevic DG, Gorman G, Turnbull DM, Ramdharry G. Interventions for promoting physical activity in people with neuromuscular disease. Cochrane Database Syst Rev 2021; 5:CD013544. [PMID: 34027632 PMCID: PMC8142076 DOI: 10.1002/14651858.cd013544.pub2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The World Health Organization (WHO) recommends that people of all ages take regular and adequate physical activity. If unable to meet the recommendations due to health conditions, international guidance advises being as physically active as possible. Evidence from community interventions of physical activity indicate that people living with medical conditions are sometimes excluded from participation in studies. In this review, we considered the effects of activity-promoting interventions on physical activity and well-being in studies, as well as any adverse events experienced by participants living with inherited or acquired neuromuscular diseases (NMDs). OBJECTIVES: To assess the effects of interventions designed to promote physical activity in people with NMD compared with no intervention or alternative interventions. SEARCH METHODS On 30 April 2020, we searched Cochrane Neuromuscular Specialised Register, CENTRAL, Embase, MEDLINE, and ClinicalTrials.Gov. WHO ICTRP was not accessible at the time. SELECTION CRITERIA We considered randomised or quasi-randomised trials, including cross-over trials, of interventions designed to promote physical activity in people with NMD compared to no intervention or alternative interventions. We specifically included studies that reported physical activity as an outcome measure. Our main focus was studies in which promoting physical activity was a stated aim but we also included studies in which physical activity was assessed as a secondary or exploratory outcome. DATA COLLECTION AND ANALYSIS We used standard Cochrane procedures. MAIN RESULTS The review included 13 studies (795 randomised participants from 12 studies; number of participants unclear in one study) of different interventions to promote physical activity. Most studies randomised a minority of invited participants. No study involved children or adolescents and nine studies reported minimal entry criteria for walking. Participants had one of nine inherited or acquired NMDs. Types of intervention included structured physical activity support, exercise support (as a specific form of physical activity), and behaviour change support that included physical activity or exercise. Only one included study clearly reported that the aim of intervention was to increase physical activity. Other studies reported or planned to analyse the effects of intervention on physical activity as a secondary or exploratory outcome measure. Six studies did not report results for physical activity outcomes, or the data were not usable. We judged 10 of the 13 included studies at high or unclear risk of bias from incomplete physical activity outcome reporting. We did not perform a meta-analysis for any comparison because of differences in interventions and in usual care. We also found considerable variation in how studies reported physical activity as an outcome measure. The studies that reported physical activity measurement did not always clearly report intention-to-treat (ITT) analysis or whether final assessments occurred during or after intervention. Based on prespecified measures, we included three comparisons in our summary of findings. A physical activity programme (weight-bearing) compared to no physical activity programme One study involved adults with diabetic peripheral neuropathy (DPN) and reported weekly duration of walking during and at the end of a one-year intervention using a StepWatch ankle accelerometer. Based on the point estimate and low-certainty evidence, intervention may have led to an important increase in physical activity per week; however, the 95% confidence interval (CI) included the possibility of no difference or an effect in either direction at three months (mean difference (MD) 34 minutes per week, 95% CI -92.19 to 160.19; 69 participants), six months (MD 68 minutes per week, 95% CI -55.35 to 191.35; 74 participants), and 12 months (MD 49 minutes per week, 95% CI -75.73 to 173.73; 70 participants). Study-reported effect estimates for foot lesions and full-thickness ulcers also included the possibility of no difference, a higher, or lower risk with intervention. A sensor-based, interactive exercise programme compared to no sensor-based, interactive exercise programme One study involved adults with DPN and reported duration of walking over 48 hours at the end of four weeks' intervention using a t-shirt embedded PAMSys sensor. It was not possible to draw conclusions about the effectiveness of the intervention from the very low-certainty evidence (MD -0.64 hours per 48 hours, 95% CI -2.42 to 1.13; 25 participants). We were also unable to draw conclusions about impact on the Physical Component Score (PCS) for quality of life (MD 0.24 points, 95% CI -5.98 to 6.46; 35 participants; very low-certainty evidence), although intervention may have made little or no difference to the Mental Component Score (MCS) for quality of life (MD 5.10 points, 95% CI -0.58 to 10.78; 35 participants; low-certainty evidence). A functional exercise programme compared to a stretching exercise programme One study involved adults with spinal and bulbar muscular atrophy and reported a daily physical activity count at the end of 12 weeks' intervention using an Actical accelerometer. It was not possible to draw conclusions about the effectiveness of either intervention (requiring compliance) due to low-certainty evidence and unconfirmed measurement units (MD -8701, 95% CI -38,293.30 to 20,891.30; 43 participants). Functional exercise may have made little or no difference to quality of life compared to stretching (PCS: MD -1.10 points, 95% CI -5.22 to 3.02; MCS: MD -1.10 points, 95% CI -6.79 to 4.59; 49 participants; low-certainty evidence). Although studies reported adverse events incompletely, we found no evidence of supported activity increasing the risk of serious adverse events. AUTHORS' CONCLUSIONS We found a lack of evidence relating to children, adolescents, and non-ambulant people of any age. Many people living with NMD did not meet randomised controlled trial eligibility criteria. There was variation in the components of supported activity intervention and usual care, such as physical therapy provision. We identified variation among studies in how physical activity was monitored, analysed, and reported. We remain uncertain of the effectiveness of promotional intervention for physical activity and its impact on quality of life and adverse events. More information is needed on the ITT population, as well as more complete reporting of outcomes. While there may be no single objective measure of physical activity, the study of qualitative and dichotomous change in self-reported overall physical activity might offer a pragmatic approach to capturing important change at an individual and population level.
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Affiliation(s)
- Katherine Jones
- Cochrane Pain, Palliative and Supportive Care, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Mental Health and Neuroscience Network and Acute and Emergency Care Network, Cochrane, London, UK
| | - Fiona Hawke
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Ourimbah, Australia
| | - Jane Newman
- Wellcome Centre for Mitochondrial Research, Newcastle University and NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK
| | - James Al Miller
- c/o Department of Neurology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Joshua Burns
- University of Sydney School of Health Sciences, Faculty of Medicine and Health, Sydney, Australia
| | - Djordje G Jakovljevic
- Cardiovascular and Lifestyle Medicine Theme, Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Grainne Gorman
- Wellcome Centre for Mitochondrial Research, Newcastle University, Newcastle upon Tyne, UK
| | - Douglass M Turnbull
- Mitochondrial Research Group, The Medical School, Newcastle University, Newcastle upon Tyne, UK
| | - Gita Ramdharry
- Queen Square Centre for Neuromuscular Diseases, University College Hospital NHS Foundation Trust and UCL Institute of Neurology, London, UK
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17
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Tinker RJ, Lim AZ, Stefanetti RJ, McFarland R. Current and Emerging Clinical Treatment in Mitochondrial Disease. Mol Diagn Ther 2021; 25:181-206. [PMID: 33646563 PMCID: PMC7919238 DOI: 10.1007/s40291-020-00510-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/27/2020] [Indexed: 12/11/2022]
Abstract
Primary mitochondrial disease (PMD) is a group of complex genetic disorders that arise due to pathogenic variants in nuclear or mitochondrial genomes. Although PMD is one of the most prevalent inborn errors of metabolism, it often exhibits marked phenotypic variation and can therefore be difficult to recognise. Current treatment for PMD revolves around supportive and preventive approaches, with few disease-specific therapies available. However, over the last decade there has been considerable progress in our understanding of both the genetics and pathophysiology of PMD. This has resulted in the development of a plethora of new pharmacological and non-pharmacological therapies at varying stages of development. Many of these therapies are currently undergoing clinical trials. This review summarises the latest emerging therapies that may become mainstream treatment in the coming years. It is distinct from other recent reviews in the field by comprehensively addressing both pharmacological non-pharmacological therapy from both a bench and a bedside perspective. We highlight the current and developing therapeutic landscape in novel pharmacological treatment, dietary supplementation, exercise training, device use, mitochondrial donation, tissue replacement gene therapy, hypoxic therapy and mitochondrial base editing.
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Affiliation(s)
- Rory J Tinker
- Wellcome Centre for Mitochondrial Research, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- Clinical and Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Albert Z Lim
- Wellcome Centre for Mitochondrial Research, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- Clinical and Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Renae J Stefanetti
- Wellcome Centre for Mitochondrial Research, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- Clinical and Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Robert McFarland
- Wellcome Centre for Mitochondrial Research, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
- Clinical and Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
- NHS Highly Specialised Service for Rare Mitochondrial Disorders for Adults and Children, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
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18
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Zweers HEE, Janssen MCH, Wanten GJA. Optimal Estimate for Energy Requirements in Adult Patients With the m.3243A>G Mutation in Mitochondrial DNA. JPEN J Parenter Enteral Nutr 2020; 45:158-164. [PMID: 32696575 PMCID: PMC7891583 DOI: 10.1002/jpen.1965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/26/2020] [Accepted: 07/13/2020] [Indexed: 01/17/2023]
Abstract
Aim We aimed to identify the optimal method to estimate total energy expenditure (TEE) in mitochondrial disease (MD) patients. Methods Resting energy expenditure (REE) was measured in MD patients carrying the m3243A>G mutation using indirect calorimetry (IC) and compared with results of 21 predictive equations (PEs) for REE and with REE‐IC measurements in healthy controls. Physical activity level (PAL) was measured using accelerometery (SenseWear) and compared with a fixed average PAL (1.4) as well as patients’ self‐estimated activity levels. TEE was calculated as REE‐IC × PAL SenseWear and compared with usual care and energy recommendations for healthy adults. Results Thirty‐eight MD patients (age: 48 ± 13 years; body mass index 24 ± 4 kg/m2; male 20%) and 25 matched controls were included. The accuracy of most PEs was between 63% and 76%. The difference in REE‐IC in healthy controls (1532 ± 182 kcal) and MD patients (1430 ± 221) was borderline not significant (P = .052). Patients’ estimations PAL were 18%–34% accurate at the individual level. The fixed activity factor was 53% accurate. Patients overestimated their PAL. Usual care predicted TEE accurately in only 32% of patients. Conclusion TEE is lower in these MD patients than the recommendations for healthy adults because of their lower physical activity. In MD patients, 6 PEs for REE provide a reliable alternative for IC, with an accuracy of 71%–76%. As PAL is highly variable and not reliably estimated by patients, measurement of PAL using accelerometery is recommended in this population.
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Affiliation(s)
- Heidi E E Zweers
- Radboud Center for Mitochondrial Medicine, Nijmegen, the Netherlands.,Department of Gastroenterology and Hepatology-Dietetics, Radboudumc, Nijmegen, the Netherlands
| | - Mirian C H Janssen
- Radboud Center for Mitochondrial Medicine, Nijmegen, the Netherlands.,Department of Internal Medicine, Radboudumc, Nijmegen, the Netherlands
| | - Geert J A Wanten
- Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, the Netherlands
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19
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Zweers HEE, Bordier V, In 't Hulst J, Janssen MCH, Wanten GJA, Leij-Halfwerk S. Association of Body Composition, Physical Functioning, and Protein Intake in Adult Patients With Mitochondrial Diseases. JPEN J Parenter Enteral Nutr 2020; 45:165-174. [PMID: 32189351 PMCID: PMC7891597 DOI: 10.1002/jpen.1826] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 11/08/2019] [Accepted: 02/25/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Whether decreased physical functioning of patients with mitochondrial disease (MD) is related to altered body composition or low protein intake needs clarification at the background of the nutrition state. METHODS In this 2-site cross-sectional study, MD patients were age-, body mass index (BMI)-, and gender-matched to controls. Body composition was assessed by dual-energy x-ray absorptiometry. Physical functioning was measured by handgrip strength, 6-minute walking test, 30-second sit-to-stand test (30SCT), and 6-minute mastication test. Total daily protein intake was calculated by 3-day food records. Malnutrition was assessed by Patient-Generated Subjective Global Assessment and the Global Leadership Initiative on Malnutrition (GLIM) criteria and sarcopenia by the 2018 consensus. Data were analyzed using independent samples t-tests, Fisher exact test, and Spearman and Pearson correlation coefficients. RESULTS Thirty-seven MD patients (42 ± 12 years, BMI: 23 ± 4 kg/m2 , 59% females) and 37 matched controls were included. Handgrip strength was moderate, inversely related to fat mass index in both MD patients and controls, whereas it correlated with fat-free mass index in controls solely. Protein intake was associated with muscle strength (handgrip strength and 30SCT) in MD patients but not in controls. Twenty-seven MD patients (73%) were malnourished, and 5 (14%) were classified as sarcopenic. CONCLUSIONS Muscle strength is related to body composition and protein intake in MD patients. This, in combination with the high incidence of both malnutrition and sarcopenia, warrants individual nutrition assessment in MD patients.
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Affiliation(s)
- Heidi E E Zweers
- Department of Gastroenterology and Hepatology-Dietetics, Radboudumc, Nijmegen, the Netherlands.,Department of Nutrition and dietetics, HAN University of Applied Sciences, Nijmegen, the Netherlands
| | - Valentine Bordier
- Department of Nutrition and dietetics, HAN University of Applied Sciences, Nijmegen, the Netherlands.,Department of Health Science and Technology, ETHZ, Zurich, Switzerland
| | - Jeanne In 't Hulst
- Department of Gastroenterology and Hepatology-Dietetics, Radboudumc, Nijmegen, the Netherlands.,Department of Nutrition and dietetics, HAN University of Applied Sciences, Nijmegen, the Netherlands.,Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | | | - Geert J A Wanten
- Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, the Netherlands
| | - Susanne Leij-Halfwerk
- Department of Gastroenterology and Hepatology-Dietetics, Radboudumc, Nijmegen, the Netherlands.,Department of Nutrition and dietetics, HAN University of Applied Sciences, Nijmegen, the Netherlands
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20
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Jones K, Hawke F, Newman J, Miller JAL, Burns J, Jakovljevic DG, Gorman G, Turnbull DM, Ramdharry G. Interventions for promoting physical activity in people with neuromuscular disease. Hippokratia 2020. [DOI: 10.1002/14651858.cd013544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Katherine Jones
- Queen Square Centre for Neuromuscular Diseases; Cochrane Neuromuscular; Queen Square London UK
- Cochrane; Mental Health and Neuroscience Network; London UK
| | - Fiona Hawke
- The University of Newcastle; School of Health Sciences, Faculty of Health and Medicine; BE 131 Health Precinct Ourimbah Campus Ourimbah NSW Australia 2258
| | - Jane Newman
- Newcastle University; Wellcome Centre for Mitochondrial Research, Newcastle University and NIHR Newcastle Biomedical Research Centre; Framlington Place Newcastle upon Tyne UK NE2 4HH
| | - James AL Miller
- Royal Victoria Infirmary; c/o Department of Neurology, Newcastle upon Tyne Hospitals Trust; Queen Victoria Road Newcastle upon Tyne UK NE1 4LP
| | - Joshua Burns
- The University of Sydney & Sydney Children’s Hospitals Network; Sydney New South Wales Australia
| | - Djordje G Jakovljevic
- Newcastle University; Institute of Cellular Medicine; Framlington Place Newcastle upon Tyne UK NE4 2HH
| | - Grainne Gorman
- Newcastle University; Wellcome Centre for Mitochondrial Research; 4th Floor Cookson Building Newcastle upon Tyne UK NE2 4HH
| | - Douglass M Turnbull
- Newcastle University; Mitochondrial Research Group, The Medical School; Framlington Place Newcastle upon Tyne UK NE2 4HH
| | - Gita Ramdharry
- University College Hospital NHS Foundation Trust and UCL Institute of Neurology; Queen Square Centre for Neuromuscular Diseases; 8-11 Queen Square London Greater London UK WC1N 3BG
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21
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O'Connor L, Westerberg E, Punga AR. Pattern of Habitual Physical Exercise in Myasthenia Gravis Patients. J Neuromuscul Dis 2020; 6:85-91. [PMID: 30452423 DOI: 10.3233/jnd-180355] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Notwithstanding the amount of deliberate exercise, the daily patterns of active versus sedentary behavior have a major influence on health outcomes [1]. Patterns of habitual active and sedentary behavior in Myasthenia Gravis (MG) patients, as well as their possible relations to disease activity, are not known. OBJECTIVE To evaluate baseline patterns of physical and sedentary behavior in MG patients. METHODS Activity patterns of twenty-seven MG patients were assessed by a Dynaport MoveMonitor (McRoberts) accelerometer, worn for seven consecutive days. The amount of time spent in moderate and vigorous intensity activities, physical activity level (PAL), number of steps/day and sedentary time were assessed and correlations to disease severity were analyzed. The results were compared to general recommendations and published data of healthy individuals and to data of patients with the chronic disorders chronic obstructive pulmonary disease (COPD) and mitochondrial myopathy. RESULTS MG patients had sedentary behavior during 78±7% of the day. There was neither a correlation between disease severity and number of steps/day (R = -0.15; p = 0.56) nor between disease severity and PAL (R = 0.33; p = 0.26). Nevertheless, the MG patients met the recommendations of daily deliberate exercise (181±158 MET min/day). PAL was lower in MG patients (1.5±0.138) than in healthy individuals (1.67±0.145, p < 0.00001). CONCLUSION Although a majority of MG patients meet the recommendations of deliberate exercise, their baseline physical activity levels are dominated by sedentary behavior. In comparison with a healthy population, MG patients are less physically active, but the reason for this remains unclear with no correlations between disease severity and physical activity patterns.
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Affiliation(s)
- Laura O'Connor
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Sweden
| | - Elisabet Westerberg
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Sweden
| | - Anna Rostedt Punga
- Department of Neuroscience, Clinical Neurophysiology, Uppsala University, Sweden
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22
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Boggan RM, Lim A, Taylor RW, McFarland R, Pickett SJ. Resolving complexity in mitochondrial disease: Towards precision medicine. Mol Genet Metab 2019; 128:19-29. [PMID: 31648942 DOI: 10.1016/j.ymgme.2019.09.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 09/12/2019] [Accepted: 09/12/2019] [Indexed: 12/12/2022]
Abstract
Mitochondrial diseases, caused by mutations in either the nuclear or mitochondrial genomes (mtDNA), are the most common form of inherited neurometabolic disorders. They are remarkably heterogeneous, both in their clinical presentation and genetic etiology, presenting challenges for diagnosis, clinical management and elucidation of molecular mechanism. The multifaceted nature of these diseases, compounded by the unique characteristics of mitochondrial genetics, cement their space in the field of complex disease. In this review we examine the m.3243A>G variant, one of the most prevalent mitochondrial DNA mutations, using it as an exemplar to demonstrate the challenges presented by these complex disorders. Disease caused by m.3243A>G is one of the most phenotypically diverse of all mitochondrial diseases; we outline known causes of this heterogeneity including mtDNA heteroplasmy, mtDNA copy number and nuclear genetic factors. We consider the impact that this has in the clinic, discussing the personalized management of common manifestations attributed to this pathogenic mtDNA variant, including hearing impairment, diabetes mellitus, myopathy, cardiac disease, stroke-like episodes and gastrointestinal disturbances. Future research into this complex disorder must account for this heterogeneity, benefitting from the use of large patient cohorts to build upon current clinical expertise. Through multi-disciplinary collaboration, the complexities of this mitochondrial disease can be addressed with the variety of diagnostic, prognostic, and treatment approaches that are moulded to best fit the needs of each individual patient.
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Affiliation(s)
- Róisín M Boggan
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Albert Lim
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Robert McFarland
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
| | - Sarah J Pickett
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
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23
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Grady JP, Pickett SJ, Ng YS, Alston CL, Blakely EL, Hardy SA, Feeney CL, Bright AA, Schaefer AM, Gorman GS, McNally RJ, Taylor RW, Turnbull DM, McFarland R. mtDNA heteroplasmy level and copy number indicate disease burden in m.3243A>G mitochondrial disease. EMBO Mol Med 2019; 10:emmm.201708262. [PMID: 29735722 PMCID: PMC5991564 DOI: 10.15252/emmm.201708262] [Citation(s) in RCA: 190] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Mitochondrial disease associated with the pathogenic m.3243A>G variant is a common, clinically heterogeneous, neurogenetic disorder. Using multiple linear regression and linear mixed modelling, we evaluated which commonly assayed tissue (blood N = 231, urine N = 235, skeletal muscle N = 77) represents the m.3243A>G mutation load and mitochondrial DNA (mtDNA) copy number most strongly associated with disease burden and progression. m.3243A>G levels are correlated in blood, muscle and urine (R2 = 0.61–0.73). Blood heteroplasmy declines by ~2.3%/year; we have extended previously published methodology to adjust for age. In urine, males have higher mtDNA copy number and ~20% higher m.3243A>G mutation load; we present formulas to adjust for this. Blood is the most highly correlated mutation measure for disease burden and progression in m.3243A>G‐harbouring individuals; increasing age and heteroplasmy contribute (R2 = 0.27, P < 0.001). In muscle, heteroplasmy, age and mtDNA copy number explain a higher proportion of variability in disease burden (R2 = 0.40, P < 0.001), although activity level and disease severity are likely to affect copy number. Whilst our data indicate that age‐corrected blood m.3243A>G heteroplasmy is the most convenient and reliable measure for routine clinical assessment, additional factors such as mtDNA copy number may also influence disease severity.
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Affiliation(s)
- John P Grady
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Sarah J Pickett
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Yi Shiau Ng
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Charlotte L Alston
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Emma L Blakely
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Steven A Hardy
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Catherine L Feeney
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Alexandra A Bright
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Andrew M Schaefer
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Gráinne S Gorman
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Richard Jq McNally
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,NHS Highly Specialised Mitochondrial Diagnostic Laboratory, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Doug M Turnbull
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Robert McFarland
- Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
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24
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de Vries PR, Janssen M, Spaans E, de Groot I, Janssen A, Smeitink J, Koene S. Natural variability of daily physical activity measured by accelerometry in children with a mitochondrial disease. Mitochondrion 2019; 47:30-37. [PMID: 31014978 DOI: 10.1016/j.mito.2019.04.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 02/27/2019] [Accepted: 04/17/2019] [Indexed: 12/21/2022]
Abstract
In this exploratory study we aimed to select the most valid and feasible accelerometer to measure daily physical activity at home in 10 children with mitochondrial disease. Using the experimentally-selected GENEActiv, good to excellent short- and long-term test-retest reliability of daily physical activity was found. Especially in children with more severe limitations daily physical activity seemed more stable and less susceptible to weather conditions. Moreover, small standard errors of measurement were found, indicating high precision of this measuring method. We conclude that measuring daily physical activity using accelerometry is a promising outcome measure for future studies in this unique population.
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Affiliation(s)
- Pascal R de Vries
- Radboud Center for Mitochondrial Medicine (RCMM), Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mariska Janssen
- Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Imelda de Groot
- Radboud Center for Mitochondrial Medicine (RCMM), Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands; Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anjo Janssen
- Radboud Center for Mitochondrial Medicine (RCMM), Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands; Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan Smeitink
- Radboud Center for Mitochondrial Medicine (RCMM), Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Saskia Koene
- Radboud Center for Mitochondrial Medicine (RCMM), Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands.
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25
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FIUZA-LUCES CARMEN, DÍEZ-BERMEJO JORGE, FERNÁNDEZ-DE LA TORRE MIGUEL, RODRÍGUEZ-ROMO GABRIEL, SANZ-AYÁN PAZ, DELMIRO AITOR, MUNGUÍA-IZQUIERDO DIEGO, RODRÍGUEZ-GÓMEZ IRENE, ARA IGNACIO, DOMÍNGUEZ-GONZÁLEZ CRISTINA, ARENAS JOAQUÍN, MARTÍN MIGUELA, LUCIA ALEJANDRO, MORÁN MARÍA. Health Benefits of an Innovative Exercise Program for Mitochondrial Disorders. Med Sci Sports Exerc 2018; 50:1142-1151. [DOI: 10.1249/mss.0000000000001546] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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26
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Zweers H, Janssen MCH, Leij S, Wanten G. Patients With Mitochondrial Disease Have an Inadequate Nutritional Intake. JPEN J Parenter Enteral Nutr 2017; 42:581-586. [PMID: 28347206 DOI: 10.1177/0148607117699792] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 02/21/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Mitochondrial disease (MD) is a group of disorders caused by dysfunctional mitochondria, the organelles that generate energy for the cell. Malnutrition in patients with MD may lead to increased mitochondrial dysfunction, which may enhance already existing symptoms. The aim of this study was to investigate whether patients with MD have an insufficient or unbalanced food intake and to establish which nutrients and product groups are particularly compromised in this patient group. METHODS In this observational, cross-sectional, retrospective study, sixty 3-day nutrition diaries of adult patients with MD were analyzed and compared with the Dutch recommended daily allowance and the Dutch National Food Consumption Survey (DNFCS). RESULTS The intake of all macronutrients and micronutrients of patients with MD was significantly different from Dutch recommended daily allowance values with the exception of fat and iron. In particular, protein and calcium intake in patients with MD was significantly lower when compared with the DNFCS. Interindividual differences were high. Also, intake of fiber, sugars, saturated fat, and vitamin D differed from recommendations for the overall population. In comparison with DNFCS, the intake of dairy products and drinks was significant lower in patients. CONCLUSIONS Our study demonstrates that many patients with MD have an inadequate diet. Specifically, intake of protein, calcium, dairy products, and fluids were low. Overall, eating a healthy diet seems as difficult for patients with MD as for the general population. Since interindividual differences are high, individual diet counseling is recommended for all adult patients with MD.
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Affiliation(s)
- Heidi Zweers
- Radboud Center for Mitochondrial Medicine, Radboudumc, Nijmegen, The Netherlands.,Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, The Netherlands
| | - Mirian C H Janssen
- Radboud Center for Mitochondrial Medicine, Radboudumc, Nijmegen, The Netherlands.,Department of Internal Medicine, Radboudumc, Nijmegen, The Netherlands
| | - Susanne Leij
- Radboud Center for Mitochondrial Medicine, Radboudumc, Nijmegen, The Netherlands.,Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, The Netherlands
| | - Geert Wanten
- Radboud Center for Mitochondrial Medicine, Radboudumc, Nijmegen, The Netherlands.,Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, The Netherlands
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27
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Langdahl JH, Frederiksen AL, Hansen SJ, Andersen PH, Yderstraede KB, Dunø M, Vissing J, Frost M. Mitochondrial Point Mutation m.3243A>G Associates With Lower Bone Mineral Density, Thinner Cortices, and Reduced Bone Strength: A Case-Control Study. J Bone Miner Res 2017; 32:2041-2048. [PMID: 28603900 DOI: 10.1002/jbmr.3193] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 05/19/2017] [Accepted: 05/31/2017] [Indexed: 12/17/2022]
Abstract
Mitochondrial dysfunction is associated with several clinical manifestations including diabetes mellitus (DM), neurological disorders, renal and hepatic diseases, and myopathy. Although mitochondrial dysfunction is associated with increased bone resorption and decreased bone formation in mouse models, effects of alterations in mitochondrial function on bone remodeling and mass have not been investigated in humans. We recruited 45 carriers (29 females, 16 males) with the m.3243A>G mutation and healthy controls matched for gender, age, height, and menopausal status. DXA and HRpQCT scans were performed, and bone turnover markers (BTMs) P1NP and CTX were measured. Cases and controls were well matched except for body weight, which was lower in cases (63.6 ± 18.1 kg versus 74.6 ± 14.8 kg, p < 0.01), and manifest DM was present in 25 of 45 cases (none in controls). Bone scans showed lower BMD at the lumbar spine, total hip, and femoral neck in cases. Mean lumbar spine, total hip, and femoral neck T-scores were -1.5, -1.3, and -1.6 in cases, respectively, and -0.8, -0.3, and -0.7 in controls (all p < 0.05). The m.3243A>G mutation was associated with lower BMD, cortical but not trabecular density, cortical thickness, and estimated bone strength. Furthermore, BTMs were lower in the m.3243A>G group before but not after adjustment for DM. The mitochondrial point mutation m.3243A>G was associated with decreased bone mass and strength. Although the coexistence of DM may have influenced bone turnover, the bone phenotype observed in m.3243A>G cases appeared to mirror age-related deterioration in bone, suggesting that mitochondrial dysfunction may cause a premature aging of bone. © 2017 The Authors. Journal of Bone and Mineral Research Published by Wiley Periodicals Inc.
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Affiliation(s)
- Jakob Høgild Langdahl
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Endocrinology, Hospital of Southwest Jutland, Esbjerg, Denmark
| | - Anja Lisbeth Frederiksen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Stinus Jørn Hansen
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - Per Heden Andersen
- Department of Endocrinology, Hospital of Southwest Jutland, Esbjerg, Denmark
| | | | - Morten Dunø
- Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Copenhagen, Denmark
| | - Morten Frost
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
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28
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Ramdharry GM, Pollard AJ, Grant R, Dewar EL, Laurá M, Moore SA, Hallsworth K, Ploetz T, Trenell MI, Reilly MM. A study of physical activity comparing people with Charcot-Marie-Tooth disease to normal control subjects. Disabil Rehabil 2017; 39:1753-1758. [PMID: 27684376 PMCID: PMC5592965 DOI: 10.1080/09638288.2016.1211180] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Charcot Marie Tooth disease (CMT) describes a group of hereditary neuropathies that present with distal weakness, wasting and sensory loss. Small studies indicate that people with CMT have reduced daily activity levels. This raises concerns as physical inactivity increases the risk of a range of co- morbidities, an important consideration in the long-term management of this disease. This study aimed to compare physical activity, patterns of sedentary behavior and overall energy expenditure of people with CMT and healthy matched controls. METHODS We compared 20 people with CMT and 20 matched controls in a comparison of physical activity measurement over seven days, using an activity monitor. Patterns of sedentary behavior were explored through a power law analysis. RESULTS Results showed a decrease in daily steps taken in the CMT group, but somewhat paradoxically, they demonstrate shorter bouts of sedentary activity and more frequent transitions from sedentary to active behaviors. No differences were seen in energy expenditure or time spent in sedentary, moderate or vigorous activity. CONCLUSION The discrepancy between energy expenditure and number of steps could be due to higher energy requirements for walking, but also may be due to an over-estimation of energy expenditure by the activity monitor in the presence of muscle wasting. Alternatively, this finding may indicate that people with CMT engage more in activities or movement not related to walking. Implications for Rehabilitation Charcot-Marie-Tooth disease: • People with Charcot-Marie-Tooth disease did not show a difference in energy expenditure over seven days compared to healthy controls, but this may be due to higher energy costs of walking, and/or an over estimation of energy expenditure by the activity monitor in a population where there is muscle wasting. This needs to be considered when interpreting activity monitor data in people with neuromuscular diseases. • Compared to healthy controls, people with Charcot-Marie-Tooth disease had a lower step count over seven days, but exhibited more frequent transitions from sedentary to active behaviors • High Body Mass Index and increased time spent sedentary were related factors that have implications for general health status. • Understanding the profile of physical activity and behavior can allow targeting of rehabilitation interventions to address mobility and fitness.
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Affiliation(s)
- Gita M Ramdharry
- a Faculty of Health, Social Care and Education , Kingston University and St George's University of London , London , UK
- b MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery , London , UK
| | - Alexander J Pollard
- b MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery , London , UK
- c Department of Molecular Neuroscience , UCL Institute of Neurology , London, London , UK
| | - Robert Grant
- a Faculty of Health, Social Care and Education , Kingston University and St George's University of London , London , UK
| | - Elizabeth L Dewar
- b MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery , London , UK
| | - Matilde Laurá
- b MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery , London , UK
- c Department of Molecular Neuroscience , UCL Institute of Neurology , London, London , UK
| | - Sarah A Moore
- d Movelab , Institute of Cellular Medicine, Newcastle University , Newcastle upon Tyne , UK
| | - Kate Hallsworth
- d Movelab , Institute of Cellular Medicine, Newcastle University , Newcastle upon Tyne , UK
| | - Thomas Ploetz
- e School of Computing Science, Newcastle University , Newcastle upon Tyne , UK
| | - Michael I Trenell
- d Movelab , Institute of Cellular Medicine, Newcastle University , Newcastle upon Tyne , UK
| | - Mary M Reilly
- b MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery , London , UK
- c Department of Molecular Neuroscience , UCL Institute of Neurology , London, London , UK
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29
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Koene S, Dirks I, van Mierlo E, de Vries PR, Janssen AJWM, Smeitink JAM, Bergsma A, Essers H, Meijer K, de Groot IJM. Domains of Daily Physical Activity in Children with Mitochondrial Disease: A 3D Accelerometry Approach. JIMD Rep 2017; 36:7-17. [PMID: 28092092 DOI: 10.1007/8904_2016_35] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 11/07/2016] [Accepted: 12/05/2016] [Indexed: 01/06/2023] Open
Abstract
Feasible, sensitive and clinically relevant outcome measures are of extreme importance when designing clinical trials. For paediatric mitochondrial disease, no robust end point has been described to date. The aim of this study was to select the domains of daily physical activity, which can be measured by 3D accelerometry, that could serve as sensitive end points in future clinical trials in children with mitochondrial disorders.In this exploratory observational study, 17 patients with mitochondrial disease and 16 age- and sex-matched controls wore 3D accelerometers at the upper leg, upper arm, lower arm and chest during one weekend. Using the raw data obtained by the accelerometers, we calculated the following outcome measures: (1) average amount of counts per hour the sensors were worn; (2) the maximal intensity; (3) the largest area under the curve during 30 min and (4) categorized activities lying, standing or being dynamically active. Measuring physical activity during the whole weekend was practically feasible in all participants. We found good face validity by visually correlating the validation videos and activity diaries to the accelerometer data-graphs. Patients with mitochondrial disorders had significantly lower peak intensity and were resting more, compared to their age- and sex-matched peers.Finally, we suggest domains of physical activity that could be included when measuring daily physical activity in children with mitochondrial disorders, preferably using more user-friendly devices. These include peak activity parameters for the arms (all patients) and legs (ambulatory patients). We recommend using or developing devices that measure these domains of physical activity in future clinical studies.
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Affiliation(s)
- Saskia Koene
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands.
| | - Ilse Dirks
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands
| | - Esmee van Mierlo
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands
| | - Pascal R de Vries
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands
| | - Anjo J W M Janssen
- Donders Center for Neuroscience, Department of Rehabilitation, Pediatric Physical Therapy, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan A M Smeitink
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands
| | - Arjen Bergsma
- Donders Center for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans Essers
- Department of Human Movement Sciences, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Kenneth Meijer
- Department of Human Movement Sciences, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Imelda J M de Groot
- Department of Paediatrics, Radboud Center for Mitochondrial Medicine (RCMM), Radboud University Medical Center, PO BOX 9101, Geert Grooteplein 10, Nijmegen, 6500 HB, The Netherlands
- Donders Center for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands
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30
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Jimenez-Moreno AC, Newman J, Charman SJ, Catt M, Trenell MI, Gorman GS, Hogrel JY, Lochmüller H. Measuring Habitual Physical Activity in Neuromuscular Disorders: A Systematic Review. J Neuromuscul Dis 2017; 4:25-52. [PMID: 28269791 PMCID: PMC5345641 DOI: 10.3233/jnd-160195] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Free-living or habitual physical activity (HPA) refers to someone's performance in his or her free-living environment. Neuromuscular disorders (NMD) manifest through HPA, and the observation of HPA can be used to identify clinical risks and to quantify outcomes in research. This review summarizes and analyses previous studies reporting the assessment of HPA in NMD, and may serve as the basis for evidence-based decision-making when considering assessing HPA in this population. METHODS A systematic review was performed to identify all studies related to HPA in NMD, followed by a critical appraisal of the assessment methodology and a final review of the identified HPA tools. RESULTS A total of 22 studies were selected, reporting on eight different direct tools (or activity monitors) and ten structured patient-reported outcomes. Overall, HPA patterns in NMD differ from healthy control populations. There was a noticeable lack of validation studies for these tools and outcome measures in NMD. Very little information regarding feasibility and barriers for the application of these tools in this population have been published. CONCLUSIONS The variety and heterogeneity of tools and methods in the published literature makes the comparison across different studies difficult, and methodological guidelines are warranted. We propose a checklist of considerations for the assessment and reporting of HPA in NMD.
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Affiliation(s)
- Aura Cecilia Jimenez-Moreno
- John Walton Muscular Dystrophy Research Centre, MRC centre for Neuromuscular Disease, Institute of Genetic Medicine, Newcastle University, UK
| | - Jane Newman
- Movelab, Institute of Cellular Medicine, Newcastle University, UK
| | - Sarah J. Charman
- Movelab, Institute of Cellular Medicine, Newcastle University, UK
| | - Michael Catt
- Institute of Neuroscience, Newcastle University, UK
| | | | | | - Jean-Yves Hogrel
- Neuromuscular Physiology and Evaluation Lab, Institute of Myology, Paris, France
| | - Hanns Lochmüller
- John Walton Muscular Dystrophy Research Centre, MRC centre for Neuromuscular Disease, Institute of Genetic Medicine, Newcastle University, UK
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31
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Fiuza-Luces C, Santos-Lozano A, García-Silva M, Martín-Hernández E, Quijada-Fraile P, Marín-Peiró M, Campos P, Arenas J, Lucía A, Martín M, Morán M. Assessment of resting energy expenditure in pediatric mitochondrial diseases with indirect calorimetry. Clin Nutr 2016; 35:1484-1489. [DOI: 10.1016/j.clnu.2016.03.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Revised: 02/15/2016] [Accepted: 03/30/2016] [Indexed: 12/25/2022]
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32
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Verhaak C, de Laat P, Koene S, Tibosch M, Rodenburg R, de Groot I, Knoop H, Janssen M, Smeitink J. Quality of life, fatigue and mental health in patients with the m.3243A > G mutation and its correlates with genetic characteristics and disease manifestation. Orphanet J Rare Dis 2016; 11:25. [PMID: 26988355 PMCID: PMC4797235 DOI: 10.1186/s13023-016-0403-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 02/16/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Mitochondrial disorders belong to the most prevalent inherited metabolic diseases with the m.3243A > G mutation reflecting being one of the most common mutations in mitochondrial DNA. Previous studies showed little relationship between mitochondrial genetics and disease manifestation. Relationship between genotype and disease manifestation with patient reported quality of life and other patient reported outcomes is still unexplored. METHODS Seventy-two out of the 122 invited adult patients with m.3243A > G mutation completed online standardized questionnaires on quality of life, functional impairment, fatigue and mental health as assessed by the RAND-SF36, the Sickness Impact Profile (SIP), the Checklist Individual Strength (CIS) and the Hospital Anxiety and Depression scale (HADS). Data were related to clinical manifestation reflected by the Newcastle Mitochondrial Disease Adult Scale (NMDAS) score and heteroplasmy levels of the mutation in urine epithelial cells. RESULTS Patients reported impaired quality of life. Sixty percent showed severe levels of fatigue, and 37% showed clinical relevant mental health problems, which was significantly more than healthy norms. These patient reported health outcomes showed negligible relationship with levels of heteroplasmy (r = <.30) and weak (.30 < r < .50) to moderate (.50 < r < .70) relationship with clinical manifestation. CONCLUSIONS Patient reported outcomes on quality of life, fatigue and mental health problems, are only partly reflected by clinical assessments. In order to support patients more effectively, integration of patient reported outcomes, alongside symptoms of their disease, in clinical practice is warranted.
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Affiliation(s)
- Christianne Verhaak
- Department of Medical Psychology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
| | - Paul de Laat
- Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Saskia Koene
- Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Marijke Tibosch
- Department of Medical Psychology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Richard Rodenburg
- Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Imelda de Groot
- Department of rehabilitation, Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Hans Knoop
- Department of Medical Psychology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Mirian Janssen
- Department of Internal Medicine; Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Jan Smeitink
- Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
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33
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Konokhova Y, Spendiff S, Jagoe RT, Aare S, Kapchinsky S, MacMillan NJ, Rozakis P, Picard M, Aubertin-Leheudre M, Pion CH, Bourbeau J, Hepple RT, Taivassalo T. Failed upregulation of TFAM protein and mitochondrial DNA in oxidatively deficient fibers of chronic obstructive pulmonary disease locomotor muscle. Skelet Muscle 2016; 6:10. [PMID: 26893822 PMCID: PMC4758107 DOI: 10.1186/s13395-016-0083-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Accepted: 02/06/2016] [Indexed: 12/29/2023] Open
Abstract
Background Low mitochondrial content and oxidative capacity are well-established features of locomotor muscle dysfunction, a prevalent and debilitating systemic occurrence in patients with chronic obstructive pulmonary disease (COPD). Although the exact cause is not firmly established, physical inactivity and oxidative stress are among the proposed underlying mechanisms. Here, we assess the impact of COPD pathophysiology on mitochondrial DNA (mtDNA) integrity, biogenesis, and cellular oxidative capacity in locomotor muscle of COPD patients and healthy controls. We hypothesized that the high oxidative stress environment of COPD muscle would yield a higher presence of deletion-containing mtDNA and oxidative-deficient fibers and impaired capacity for mitochondrial biogenesis. Methods Vastus lateralis biopsies were analyzed from 29 COPD patients and 19 healthy age-matched controls for the presence of mtDNA deletions, levels of oxidatively damaged DNA, mtDNA copy number, and regulators of mitochondrial biogenesis as well the proportion of oxidative-deficient fibers (detected histologically as cytochrome c oxidase-deficient, succinate dehydrogenase positive (COX−/SDH+ )). Additionally, mtDNA copy number and mitochondrial transcription factor A (TFAM) content were measured in laser captured COX−SDH+ and normal single fibers of both COPD and controls. Results Compared to controls, COPD muscle exhibited significantly higher levels of oxidatively damaged DNA (8-hydroxy-2-deoxyguanosine (8-OHdG) levels = 387 ± 41 vs. 258 ± 21 pg/mL) and higher prevalence of mtDNA deletions (74 vs. 15 % of subjects in each group), which was accompanied by a higher abundance of oxidative-deficient fibers (8.0 ± 2.1 vs. 1.5 ± 0.4 %). Interestingly, COPD patients with mtDNA deletions had higher levels of 8-OHdG (457 ± 46 pg/mL) and longer smoking history (66.3 ± 7.5 years) than patients without deletions (197 ± 29 pg/mL; 38.0 ± 7.3 years). Transcript levels of regulators of mitochondrial biogenesis and oxidative metabolism were upregulated in COPD compared to controls. However, single fiber analyses of COX−/SDH+ and normal fibers exposed an impairment in mitochondrial biogenesis in COPD; in healthy controls, we detected a marked upregulation of mtDNA copy number and TFAM protein in COX−/SDH+ compared to normal fibers, reflecting the expected compensatory attempt by the oxidative-deficient cells to increase energy levels; in contrast, they were similar between COX−/SDH+ and normal fibers in COPD patients. Taken together, these findings suggest that although the signaling factors regulating mitochondrial biogenesis are increased in COPD muscle, impairment in the translation of these signals prevents the restoration of normal oxidative capacity. Conclusions Single fiber analyses provide the first substantive evidence that low muscle oxidative capacity in COPD cannot be explained by physical inactivity alone and is likely driven by the disease pathophysiology.
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Affiliation(s)
- Yana Konokhova
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada.,Department of Critical Care Medicine, McGill University Health Center, Montreal, Canada
| | - Sally Spendiff
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada.,Department of Critical Care Medicine, McGill University Health Center, Montreal, Canada
| | - R Thomas Jagoe
- Departments of Oncology and Medicine, McGill University, Montreal, Canada
| | - Sudhakar Aare
- Department of Critical Care Medicine, McGill University Health Center, Montreal, Canada
| | - Sophia Kapchinsky
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada
| | - Norah J MacMillan
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada
| | - Paul Rozakis
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada
| | - Martin Picard
- Division of Behavioral Medicine, Department of Psychiatry, Department of Neurology, and Columbia Translational Neuroscience Initiative, Columbia University College of Physicians and Surgeons, Columbia University Medical Center, New York, NY USA
| | | | - Charlotte H Pion
- Département de Kinanthropologie, Université du Québec à Montréal, Montreal, Canada
| | - Jean Bourbeau
- Respiratory Epidemiology and Clinical Research Unit, Center for Innovative Medicine (CIM), McGill University Health Centre, Montreal, Canada
| | - Russell T Hepple
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada.,Department of Critical Care Medicine, McGill University Health Center, Montreal, Canada.,Meakins Christie Laboratories, McGill University, Montreal, Canada
| | - Tanja Taivassalo
- Department of Kinesiology, McGill University, 475 Pine Ave West, Room 222, Montreal, Quebec H2W1S4 Canada.,Respiratory Epidemiology and Clinical Research Unit, Center for Innovative Medicine (CIM), McGill University Health Centre, Montreal, Canada
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34
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Phillips AC, Sleigh A, McAllister CJ, Brage S, Carpenter TA, Kemp GJ, Holland AJ. Defective mitochondrial function in vivo in skeletal muscle in adults with Down's syndrome: a 31P-MRS study. PLoS One 2013; 8:e84031. [PMID: 24391872 PMCID: PMC3877137 DOI: 10.1371/journal.pone.0084031] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 11/11/2013] [Indexed: 01/11/2023] Open
Abstract
Down's syndrome (DS) is a developmental disorder associated with intellectual disability (ID). We have previously shown that people with DS engage in very low levels of exercise compared to people with ID not due to DS. Many aspects of the DS phenotype, such as dementia, low activity levels and poor muscle tone, are shared with disorders of mitochondrial origin, and mitochondrial dysfunction has been demonstrated in cultured DS tissue. We undertook a phosphorus magnetic resonance spectroscopy ((31)P-MRS) study in the quadriceps muscle of 14 people with DS and 11 non-DS ID controls to investigate the post-exercise resynthesis kinetics of phosphocreatine (PCr), which relies on mitochondrial respiratory function and yields a measure of muscle mitochondrial function in vivo. We found that the PCr recovery rate constant was significantly decreased in adults with DS compared to non-DS ID controls (1.7 ± 0.1 min(-1) vs 2.1 ± 0.1 min(-1) respectively) who were matched for physical activity levels, indicating that muscle mitochondrial function in vivo is impaired in DS. This is the first study to investigate mitochondrial function in vivo in DS using (31)P-MRS. Our study is consistent with previous in vitro studies, supporting a theory of a global mitochondrial defect in DS.
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Affiliation(s)
| | - Alison Sleigh
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom
| | | | - Soren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - T. Adrian Carpenter
- Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom
| | - Graham J. Kemp
- Department of Musculoskeletal Biology, University of Liverpool, Liverpool, United Kingdom
| | - Anthony J. Holland
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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35
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Grady JP, Campbell G, Ratnaike T, Blakely EL, Falkous G, Nesbitt V, Schaefer AM, McNally RJ, Gorman GS, Taylor RW, Turnbull DM, McFarland R. Disease progression in patients with single, large-scale mitochondrial DNA deletions. Brain 2013; 137:323-34. [PMID: 24277717 PMCID: PMC3914470 DOI: 10.1093/brain/awt321] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Single, large-scale deletions of mitochondrial DNA are a common cause of mitochondrial disease and cause a broad phenotypic spectrum ranging from mild myopathy to devastating multi-system syndromes such as Kearns-Sayre syndrome. Studies to date have been inconsistent on the value of putative predictors of clinical phenotype and disease progression such as mutation load and the size or location of the deletion. Using a cohort of 87 patients with single, large-scale mitochondrial DNA deletions we demonstrate that a variety of outcome measures such as COX-deficient fibre density, age-at-onset of symptoms and progression of disease burden, as measured by the Newcastle Mitochondrial Disease Adult Scale, are significantly (P < 0.05) correlated with the size of the deletion, the deletion heteroplasmy level in skeletal muscle, and the location of the deletion within the genome. We validate these findings with re-analysis of 256 cases from published data and clarify the previously conflicting information of the value of these predictors, identifying that multiple regression analysis is necessary to understand the effect of these interrelated predictors. Furthermore, we have used mixed modelling techniques to model the progression of disease according to these predictors, allowing a better understanding of the progression over time of this strikingly variable disease. In this way we have developed a new paradigm in clinical mitochondrial disease assessment and management that sidesteps the perennial difficulty of ascribing a discrete clinical phenotype to a broad multi-dimensional and progressive spectrum of disease, establishing a framework to allow better understanding of disease progression.
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Affiliation(s)
- John P Grady
- 1 Wellcome Trust Centre for Mitochondrial Research, Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK
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36
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Cnop M, Igoillo-Esteve M, Rai M, Begu A, Serroukh Y, Depondt C, Musuaya AE, Marhfour I, Ladrière L, Moles Lopez X, Lefkaditis D, Moore F, Brion JP, Cooper JM, Schapira AHV, Clark A, Koeppen AH, Marchetti P, Pandolfo M, Eizirik DL, Féry F. Central role and mechanisms of β-cell dysfunction and death in friedreich ataxia-associated diabetes. Ann Neurol 2012; 72:971-82. [PMID: 23280845 PMCID: PMC4900175 DOI: 10.1002/ana.23698] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2012] [Revised: 06/14/2012] [Accepted: 06/29/2012] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Friedreich ataxia (FRDA) is an autosomal recessive neurodegenerative disease caused in almost all cases by homozygosity for a GAA trinucleotide repeat expansion in the frataxin gene. Frataxin is a mitochondrial protein involved in iron homeostasis. FRDA patients have a high prevalence of diabetes, the pathogenesis of which is not known. We aimed to evaluate the relative contribution of insulin resistance and β-cell failure and the pathogenic mechanisms involved in FRDA diabetes. METHODS Forty-one FRDA patients, 26 heterozygous carriers of a GAA expansion, and 53 controls underwent oral and intravenous glucose tolerance tests. β-Cell proportion was quantified in postmortem pancreas sections from 9 unrelated FRDA patients. Using an in vitro disease model, we studied how frataxin deficiency affects β-cell function and survival. RESULTS FRDA patients had increased abdominal fat and were insulin resistant. This was not compensated for by increased insulin secretion, resulting in a markedly reduced disposition index, indicative of pancreatic β-cell failure. Loss of glucose tolerance was driven by β-cell dysfunction, which correlated with abdominal fatness. In postmortem pancreas sections, pancreatic islets of FRDA patients had a lower β-cell content. RNA interference-mediated frataxin knockdown impaired glucose-stimulated insulin secretion and induced apoptosis in rat β cells and human islets. Frataxin deficiency sensitized β cells to oleate-induced and endoplasmic reticulum stress-induced apoptosis, which could be prevented by the incretins glucagon-like peptide-1 and glucose-dependent insulinotropic polypeptide. INTERPRETATION Pancreatic β-cell dysfunction is central to diabetes development in FRDA as a result of mitochondrial dysfunction and higher sensitivity to metabolic and endoplasmic reticulum stress-induced β-cell death.
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Affiliation(s)
- Miriam Cnop
- Laboratory of Experimental Medicine, Universite Libre de Bruxelles, Brussels, Belgium.
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Schiff M, Bénit P, Jacobs HT, Vockley J, Rustin P. Therapies in inborn errors of oxidative metabolism. Trends Endocrinol Metab 2012; 23:488-95. [PMID: 22633959 PMCID: PMC4135311 DOI: 10.1016/j.tem.2012.04.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2012] [Revised: 04/19/2012] [Accepted: 04/21/2012] [Indexed: 11/21/2022]
Abstract
Mitochondrial diseases encompass a wide range of presentations and mechanisms, dictating a need to consider both broad-based and disease-specific therapies. The manifestations of mitochondrial dysfunction and the response to therapy vary between individuals. This probably reflects the genetic complexity of mitochondrial biology, which requires an excess of 2000 genes for proper function, with numerous interfering epigenetic and environmental factors. Accordingly, we are increasingly aware of the complexity of these diseases which involve far more than merely decreased ATP supply. Indeed, recent therapeutic progress has addressed only specific disease entities. In this review present and prospective therapeutic approaches will be discussed on the basis of targets and mechanism of action, but with a broad outlook on their potential applications.
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Affiliation(s)
- Manuel Schiff
- Institut National de la Santé et de la Recherche Médicale Unité 676, Hôpital Robert Debré, F-75019 Paris, France
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Roth SM, Rankinen T, Hagberg JM, Loos RJF, Pérusse L, Sarzynski MA, Wolfarth B, Bouchard C. Advances in exercise, fitness, and performance genomics in 2011. Med Sci Sports Exerc 2012; 44:809-17. [PMID: 22330029 DOI: 10.1249/mss.0b013e31824f28b6] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
This review of the exercise genomics literature emphasizes the highest quality articles published in 2011. Given this emphasis on the best publications, only a small number of published articles are reviewed. One study found that physical activity levels were significantly lower in patients with mitochondrial DNA mutations compared with controls. A two-stage fine-mapping follow-up of a previous linkage peak found strong associations between sequence variation in the activin A receptor, type-1B (ACVRIB) gene and knee extensor strength, with rs2854464 emerging as the most promising candidate polymorphism. The association of higher muscular strength with the rs2854464 A allele was confirmed in two separate cohorts. A study using a combination of transcriptomic and genomic data identified a comprehensive map of the transcriptomic features important for aerobic exercise training-induced improvements in maximal oxygen consumption, but no genetic variants derived from candidate transcripts were associated with trainability. A large-scale de novo meta-analysis confirmed that the effect of sequence variation in the fat mass and obesity-associated (FTO) gene on the risk of obesity differs between sedentary and physically active adults. Evidence for gene-physical activity interactions on type 2 diabetes risk was found in two separate studies. A large study of women found that physical activity modified the effect of polymorphisms in the lipoprotein lipase (LPL), hepatic lipase (LIPC), and cholesteryl ester transfer protein (CETP) genes, identified in previous genome-wide association study reports, on HDL cholesterol. We conclude that a strong exercise genomics corpus of evidence would not only translate into powerful genomic predictors but also have a major effect on exercise biology and exercise behavior research.
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Affiliation(s)
- Stephen M Roth
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, MD, USA
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