Abstract
Objectives
The primary goal in managing glycogen storage disorders (GSD) is to implement dietary therapy through regular glucose monitoring while attempting to prevent complications. Self-monitoring of blood glucose is often insufficient for detecting asymptomatic hypoglycemia in patients. Therefore, Continuous glucose monitoring systems (CGMS) play a crucial role in identifying hypoglycemic episodes and providing detailed glucose profiles throughout the day. In this study, CGMS data, laboratory findings, and daily nutritional intake were examined in patients with GSDIa and GSDIII. The lack of similar studies in GSDIII patients in the literature highlights the need for further research in this field.
Methods
The glucose profiles of 12 patients (7 GSDIa and 5 GSDIII) were analyzed over a 72 h period using CGMS. Nutritional intake, biochemical parameters, and growth parameters were also evaluated.
Results
This study demonstrated that CGMS detected both hypoglycemia (<70 mg/dL) and hyperglycemia (>150 mg/dL) in GSD patients. Growth retardation was also observed in these patients. As complications of the disease, elevated levels of liver enzymes, cholesterol, triglycerides, and creatine kinase were identified, with fatty liver and hepatomegaly detected in all patients. The patients’ nutritional intake is similar to the recommendations in disease-specific treatment guidelines.
Conclusions
The primary dietary treatment goal for GSD patients is to maintain normoglycemia. Patients may experience asymptomatic low glucose and/or asymptomatic hypoglycemic episodes during treatment. CGMS enables a more detailed monitoring of glucose profiles, which not only facilitates the precise adjustment of dietary therapy based on detailed results but also helps prevent complications associated with the disease.
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Research ethics: This study was conducted in accordance with the Declaration of Helsinki. The study protocol was approved by the Ethics Committee of Gaziantep University.
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Informed consent: Written informed consent was obtained from the patients’ parents or care givers.
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Author contributions: Burcu Kumru Akin: Writing – original draft, Writing – review & editing, Supervision, Methodology, Investigation, Formal analysis. Emine Goksoy: Writing – review & editing, Methodology, Investigation, Formal analysis. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Herbert, M, Pendyal, S, Rairikar, M, Halaby, C, Benjamin, RW, Kishnani, PS. Role of continuous glucose monitoring in the management of glycogen storage disorders. J Inherit Metab Dis 2018;41:917–27. https://doi.org/10.1007/s10545-018-0200-5.Search in Google Scholar PubMed
2. Kishnani, PS, Austin, SL, Arn, P, Bali, DS, Boney, A, Case, LE, et al.. Glycogen storage disease type III diagnosis and management guidelines. Genet Med 2010;12:446–63. https://doi.org/10.1097/gim.0b013e3181e655b6.Search in Google Scholar PubMed
3. Rousseau-Nepton, I, Huot, C, Laforte, D, Mok, E, Fenyves, D, Constantin, E, et al.. Sleep and quality of life of patients with glycogen storage disease on standard and modified uncooked cornstarch. Mol Genet Metabol 2018;123:326–30. https://doi.org/10.1016/j.ymgme.2017.09.003.Search in Google Scholar PubMed
4. Massimino, E, Amoroso, AP, Lupoli, R, Rossi, A, Capaldo, B. Nutritional management of glycogen storage disease type III: a case report and a critical appraisal of the literature. Front Nutr 2023;10. https://doi.org/10.3389/fnut.2023.1178348.Search in Google Scholar PubMed PubMed Central
5. Steunenberg, TAH, Peeks, F, Hoogeveen, IJ, Mitchell, JJ, Mundy, H, de Boer, F, et al.. Safety issues associated with dietary management in patients with hepatic glycogen storage disease. Mol Genet Metabol 2018;125:79–85. https://doi.org/10.1016/j.ymgme.2018.07.004.Search in Google Scholar PubMed
6. Fukuda, T, Ito, T, Hamazaki, T, Inui, A, Ishige, M, Kagawa, R, et al.. Blood glucose trends in glycogen storage disease type Ia: a cross-sectional study. J Inherit Metab Dis 2023;46:618–33. https://doi.org/10.1002/jimd.12610.Search in Google Scholar PubMed
7. Vashist, SK. Continuous glucose monitoring systems: a review. Diagnostics 2013;3:385–412. https://doi.org/10.3390/diagnostics3040385.Search in Google Scholar PubMed PubMed Central
8. Hochuli, M, Christ, E, Meienberg, F, Lehmann, R, Krützfeldt, J, Baumgartner, MR. Alternative nighttime nutrition regimens in glycogen storage disease type I: a controlled crossover study. J Inherit Metab Dis 2015;38:1093–8. https://doi.org/10.1007/s10545-015-9864-2.Search in Google Scholar PubMed
9. Kasapkara, ÇS, Cinasal Demir, G, Hasanoğlu, A, Tümer, L. Continuous glucose monitoring in children with glycogen storage disease type I. Eur J Clin Nutr 2014;68:101–5. https://doi.org/10.1038/ejcn.2013.186.Search in Google Scholar PubMed
10. White, F, Jones, S. The use of continuous glucose monitoring in the practical management of glycogen storage disorders. J Inherit Metab Dis 2011;34:631–42. https://doi.org/10.1007/s10545-011-9335-3.Search in Google Scholar PubMed
11. Lang, TA, Altman, DG. Basic statistical reporting for articles published in biomedical journals: the “statistical analyses and methods in the published literature” or the SAMPL guidelines. Int J Nurs Stud 2015;52:5–9. https://doi.org/10.1016/j.ijnurstu.2014.09.006.Search in Google Scholar PubMed
12. Blevins, TC. Professional continuous glucose monitoring in clinical practice 2010. J Diabetes Sci Technol 2010;4:440. https://doi.org/10.1177/193229681000400226.Search in Google Scholar PubMed PubMed Central
13. Bergenstal, RM, Beck, RW, Close, KL, Grunberger, G, Sacks, DB, Kowalski, A, et al.. Glucose management indicator (GMI): a new term for estimating A1C from continuous glucose monitoring. Diabetes Care 2018;41:2275–80. https://doi.org/10.2337/dc18-1581.Search in Google Scholar PubMed PubMed Central
14. Kaiser, N, Gautschi, M, Bosanska, L, Meienberg, F, Baumgartner, MR, Spinas, GA, et al.. Glycemic control and complications in glycogen storage disease type I: results from the Swiss registry. Mol Genet Metabol 2019;126:355–61. https://doi.org/10.1016/j.ymgme.2019.02.008.Search in Google Scholar PubMed
15. dos Santos, BB, Nalin, T, Grokoski, KC, Perry, IDS, Refosco, LF, Vairo, FP, et al.. Nutritional status and body composition in patients with hepatic glycogen storage diseases treated with uncooked cornstarch—a controlled study. J Inborn Errors Metab Screen 2017;5:1–7. https://doi.org/10.1177/2326409817733014.Search in Google Scholar
16. Weinstein, D, Wolfsdorf, J. Effect of continuous glucose therapy with uncooked cornstarch on the long-term clinical course of type 1a glycogen storage disease. Eur J Pediatr 2002;161:S35–9. https://doi.org/10.1007/s00431-002-1000-2.Search in Google Scholar PubMed
17. Kishnani, PS, Austin, SL, Abdenur, JE, Arn, P, Bali, DS, Boney, A, et al.. Diagnosis and management of glycogen storage disease type I: a practice guideline of the American College of Medical Genetics and Genomics. Genet Med 2014;16:1–29. https://doi.org/10.1038/gim.2014.128.Search in Google Scholar PubMed
18. Melis, D, Pivonello, R, Cozzolino, M, Della Casa, R, Balivo, F, Del Puente, A, et al.. Impaired bone metabolism in glycogen storage disease type 1 is associated with poor metabolic control in type 1a and with granulocyte colony-stimulating factor therapy in type 1b. Horm Res Paediatr 2014;81:55–62. https://doi.org/10.1159/000351022.Search in Google Scholar PubMed
19. Mundy, HR, Hindmarsh, PC, Matthews, DR, Leonard, JV, Lee, PJ. The regulation of growth in glycogen storage disease type 1. Clin Endocrinol 2003;58:332–9. https://doi.org/10.1046/j.1365-2265.2003.01717.x.Search in Google Scholar PubMed
20. Jorge, NB, de Tommaso, AMA, Hessel, G. Anthropometric and dietary assessment of patients with glycogenosis type I. Rev Paul Pediatr 2021;39. https://doi.org/10.1590/1984-0462/2021/39/2020046.Search in Google Scholar PubMed PubMed Central
21. Rossi, A, Ruoppolo, M, Formisano, P, Villani, G, Albano, L, Gallo, G, et al.. Insulin-resistance in glycogen storage disease type Ia: linking carbohydrates and mitochondria? J Inherit Metab Dis 2018;41:985–95. https://doi.org/10.1007/s10545-018-0149-4.Search in Google Scholar PubMed
22. Jellinger, PS. Metabolic consequences of hyperglycemia and insulin resistance. Clin Cornerstone 2007;8:30–42. https://doi.org/10.1016/s1098-3597(07)80019-6.Search in Google Scholar PubMed
23. Battelino, T, Danne, T, Bergenstal, RM, Amiel, SA, Beck, R, Biester, T, et al.. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care 2019;42:1593–603. https://doi.org/10.2337/dci19-0028.Search in Google Scholar PubMed PubMed Central
24. Peeks, F, Hoogeveen, IJ, Feldbrugge, RL, Burghard, R, de Boer, F, Fokkert-Wilts, MJ, et al.. A retrospective in-depth analysis of continuous glucose monitoring datasets for patients with hepatic glycogen storage disease: recommended outcome parameters for glucose management. J Inherit Metab Dis 2021;44:1136–50. https://doi.org/10.1002/jimd.12383.Search in Google Scholar PubMed PubMed Central
25. Rossi, A, Venema, A, Haarsma, P, Feldbrugge, L, Burghard, R, Rodriguez-Buritica, D, et al.. A prospective study on continuous glucose monitoring in glycogen storage disease type ia: toward glycemic targets. J Clin Endocrinol Metab 2022;107:E3612–23. https://doi.org/10.1210/clinem/dgac411.Search in Google Scholar PubMed PubMed Central
26. Garbade, SF, Ederer, V, Burgard, P, Wendel, U, Spiekerkoetter, U, Haas, D, et al.. Impact of glycogen storage disease type I on adult daily life: a survey. Orphanet J Rare Dis 2021;16:1–10. https://doi.org/10.1186/s13023-021-02006-w.Search in Google Scholar PubMed PubMed Central
© 2025 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- A recent update on childhood obesity: aetiology, treatment and complications
- Original Articles
- Chronotype, sleep, and glycemic control in children and adolescents with type 1 diabetes: a case-control study
- Determinants of childhood and adolescent obesity and it’s effect on metabolism in South Indian population
- Evaluation of continuous glucose monitoring and nutritional status in glycogen storage diseases
- Retrospective assessment of hepatic involvement in patients with inherited metabolic disorders: nine-year single-center experience
- Relationships among biological sex, body composition, and bone mineral density in young persons with and without diabetes
- The clinical characteristics of 10 cases and adult height of six cases of rare familial male-limited precocious puberty
- Optimal timing of repeat thyroid fine-needle aspiration biopsy
- Medium-chain acyl-CoA dehydrogenase deficiency in North Macedonia – ten years experience
- The effect of antenatal steroids on metabolic bone disease of prematurity
- Prader-Willi syndrome gene expression profiling of obese and non-obese patients reveals transcriptional changes in CLEC4D and ANXA3
- Early-onset growth hormone treatment in Prader–Willi syndrome attenuates transition to severe obesity
- Case Reports
- Neonatal severe hyperparathyroidism with inactivating calcium sensing receptor (CaSR) mutation (p.I81K)
- Clinical manifestations and molecular genetics of seven patients with Niemann–Pick type-C: a case series with a novel variant
- Expanding the genotypic spectrum of 3β-hydroxy-δ5-C27-steroid dehydrogenase (HSD3B7) deficiency: novel mutations and clinical outcomes
Articles in the same Issue
- Frontmatter
- Review
- A recent update on childhood obesity: aetiology, treatment and complications
- Original Articles
- Chronotype, sleep, and glycemic control in children and adolescents with type 1 diabetes: a case-control study
- Determinants of childhood and adolescent obesity and it’s effect on metabolism in South Indian population
- Evaluation of continuous glucose monitoring and nutritional status in glycogen storage diseases
- Retrospective assessment of hepatic involvement in patients with inherited metabolic disorders: nine-year single-center experience
- Relationships among biological sex, body composition, and bone mineral density in young persons with and without diabetes
- The clinical characteristics of 10 cases and adult height of six cases of rare familial male-limited precocious puberty
- Optimal timing of repeat thyroid fine-needle aspiration biopsy
- Medium-chain acyl-CoA dehydrogenase deficiency in North Macedonia – ten years experience
- The effect of antenatal steroids on metabolic bone disease of prematurity
- Prader-Willi syndrome gene expression profiling of obese and non-obese patients reveals transcriptional changes in CLEC4D and ANXA3
- Early-onset growth hormone treatment in Prader–Willi syndrome attenuates transition to severe obesity
- Case Reports
- Neonatal severe hyperparathyroidism with inactivating calcium sensing receptor (CaSR) mutation (p.I81K)
- Clinical manifestations and molecular genetics of seven patients with Niemann–Pick type-C: a case series with a novel variant
- Expanding the genotypic spectrum of 3β-hydroxy-δ5-C27-steroid dehydrogenase (HSD3B7) deficiency: novel mutations and clinical outcomes