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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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Kikuchi K, Satake M, Furukawa Y, Terui Y. Assessment of body composition, metabolism, and pulmonary function in patients with myotonic dystrophy type 1. Medicine (Baltimore) 2022; 101:e30412. [PMID: 36086756 PMCID: PMC10980380 DOI: 10.1097/md.0000000000030153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/05/2022] [Indexed: 11/25/2022] Open
Abstract
Abnormal body composition in myotonic dystrophy type 1 (DM1) are affected by energy intake above resting energy expenditure (REE). We aim to investigate the characteristics and relationship between body composition, REE, and pulmonary function in patients with DM1, and to examine their changes in 1 year. The study design was a single-center, cross-sectional, and longitudinal study of body composition, REE characteristics, and pulmonary function. Twenty-one male patients with DM1 and 16 healthy volunteers were registered in the study. Body composition was measured using dual-energy X-ray absorptiometry (DEXA). Fat mass (FM) index (kg/m2), fat-FM index (kg/m2), and skeletal mass index (kg/m2) were calculated. The measurements were taken breath by breath with a portable indirect calorimeter. The REE was calculated using the oxygen intake (VO2) and carbon dioxide output (VCO2) in the Weir equation. Basal energy expenditure (BEE) was calculated by substituting height, weight, and age into the Harris-Benedict equation. The study enrolled male patients with DM1 (n = 12) and healthy male volunteers (n = 16). Patients with DM1 (n = 7) and healthy volunteers (n = 14) could be followed in 1 year. The body composition of patients with DM1 was significantly higher in the FM index and significantly lower in the fat-FM index and skeletal mass index. The REE of patients with DM1 was significantly lower and was not associated with body composition. Patients with DM1 had poor metabolism that was not related to body composition. FM was high and lean body mass was low.
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Affiliation(s)
- Kazuto Kikuchi
- Department of Physical Therapy, Akita Rehabilitation College, Akita, Japan
| | - Masahiro Satake
- Department of Physical Therapy, Akita University Graduate School of Health Sciences, Akita, Japan
| | - Yutaka Furukawa
- Department of Physical Therapy, Akita University Graduate School of Health Sciences, Akita, Japan
| | - Yoshino Terui
- Department of Physical Therapy, Akita University Graduate School of Health Sciences, Akita, Japan
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Kripps KA, Baker PR, Thomas JA, Skillman HE, Bernstein L, Gaughan S, Burns C, Coughlin CR, McCandless SE, Larson AA, Kochar A, Stillman CF, Wymore EM, Hendricks EG, Woontner M, Van Hove JLK. REVIEW: Practical strategies to maintain anabolism by intravenous nutritional management in children with inborn metabolic diseases. Mol Genet Metab 2021; 133:231-241. [PMID: 33985889 DOI: 10.1016/j.ymgme.2021.04.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 04/29/2021] [Accepted: 04/30/2021] [Indexed: 12/31/2022]
Abstract
One of the most vital elements of management for patients with inborn errors of intermediary metabolism is the promotion of anabolism, the state in which the body builds new components, and avoidance of catabolism, the state in which the body breaks down its own stores for energy. Anabolism is maintained through the provision of a sufficient supply of substrates for energy, as well as critical building blocks of essential amino acids, essential fatty acids, and vitamins for synthetic function and growth. Patients with metabolic diseases are at risk for decompensation during prolonged fasting, which often occurs during illnesses in which enteral intake is compromised. During these times, intravenous nutrition must be supplied to fully meet the specific nutritional needs of the patient. We detail our approach to intravenous management for metabolic patients and its underlying rationale. This generally entails a combination of intravenous glucose and lipid as well as early introduction of protein and essential vitamins. We exemplify the utility of our approach in case studies, as well as scenarios and specific disorders which require a more careful administration of nutritional substrates or a modification of macronutrient ratios.
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Affiliation(s)
- Kimberly A Kripps
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA; Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Peter R Baker
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Janet A Thomas
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Heather E Skillman
- Department of Clinical Nutrition, Children's Hospital Colorado, Aurora, CO, USA
| | - Laurie Bernstein
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Sommer Gaughan
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Casey Burns
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Curtis R Coughlin
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Shawn E McCandless
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Austin A Larson
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Aaina Kochar
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Chelsey F Stillman
- Section of Child Neurology, Department of Pediatrics, University of Colorado, Aurora, CO, USA; Neuroscience Institute, Children's Hospital Colorado, Aurora, CO, USA
| | - Erica M Wymore
- Section of Neonatology, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Ellie G Hendricks
- Department of Pharmacy, Children's Hospital Colorado, Aurora, CO, USA
| | - Michael Woontner
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA
| | - Johan L K Van Hove
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado, Aurora, CO, USA.
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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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García-Silva MT, Martín MA, Morán M. Understanding mitochondrial diseases. Clin Nutr 2017; 36:902. [PMID: 28343800 DOI: 10.1016/j.clnu.2017.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 02/28/2017] [Accepted: 03/02/2017] [Indexed: 10/20/2022]
Affiliation(s)
- M T García-Silva
- Mitochondrial and Neuromuscular Diseases Laboratory, Hospital Universitario 12 de Octubre Research Institute (i+12), Madrid, Spain; Spanish Network for Biomedical Research in Rare Diseases (CIBERER), U723, Spain; Unidad Pediátrica de Enfermedades Raras, Dpto Pediatría, Hospital Universitario 12 de Octubre, Madrid, C.S.U.R. Enfermedades Metabólicas Hereditarias, Spain
| | - M A Martín
- Mitochondrial and Neuromuscular Diseases Laboratory, Hospital Universitario 12 de Octubre Research Institute (i+12), Madrid, Spain; Spanish Network for Biomedical Research in Rare Diseases (CIBERER), U723, Spain
| | - M Morán
- Mitochondrial and Neuromuscular Diseases Laboratory, Hospital Universitario 12 de Octubre Research Institute (i+12), Madrid, Spain; Spanish Network for Biomedical Research in Rare Diseases (CIBERER), U723, Spain.
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