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The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes

AIMS: In many physiologic systems, the evolution from health to disease correlates with a loss of complexity in the system’s output. We analyze the difference in complexity of the glycemic profile in healthy volunteers (H), patients with the metabolic syndrome (MS), and patients with type 2 diabetes...

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Autores principales: Churruca, Juan, Vigil, Luis, Luna, Esther, Ruiz-Galiana, Julian, Varela, Manuel
Formato: Texto
Lenguaje:English
Publicado: Dove Medical Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3052716/
https://www.ncbi.nlm.nih.gov/pubmed/21437151
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author Churruca, Juan
Vigil, Luis
Luna, Esther
Ruiz-Galiana, Julian
Varela, Manuel
author_facet Churruca, Juan
Vigil, Luis
Luna, Esther
Ruiz-Galiana, Julian
Varela, Manuel
author_sort Churruca, Juan
collection PubMed
description AIMS: In many physiologic systems, the evolution from health to disease correlates with a loss of complexity in the system’s output. We analyze the difference in complexity of the glycemic profile in healthy volunteers (H), patients with the metabolic syndrome (MS), and patients with type 2 diabetes mellitus (DM). METHODS: We measured interstitial fluid glucose every 5 minutes for 3 days in 10 H, 10 MS, and 10 DM. Complexity of the glycemic profile was evaluated by means of detrended fluctuation analysis (DFA). Mean amplitude of glycemic excursions (MAGE) was also calculated. RESULTS: Glucose profile was more complex (lower DFA) in healthy subjects than in patients with MS or DM (mean DFA [SD]: H: 1.25 (0.10), MS: 1.39 (0.07), DM: 1.42 (0.10). ANOVA: F(2,27) = 9.94, p = 0.001). DM had also a less complex profile than MS, but this difference was not statistically significant. There was an inverse relation between complexity (lower DFA) and the number of MS defining criteria (rho = 0.55, p = 0.002) and between complexity and MAGE (r = 0.68, p < 0.0001). CONCLUSIONS: There is a progressive loss of complexity in the glycemic profile from health, through the metabolic syndrome to type 2 diabetes mellitus. This loss of complexity precedes hyperglycemia and correlates with other markers of disease progression. Complexity analysis may be a useful tool to track the evolution from health to type 2 diabetes. Furthermore, it may provide a way to measure glycemic control in real-life situations and has some distinct advantages over other conventional variability metrics.
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spelling pubmed-30527162011-03-23 The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes Churruca, Juan Vigil, Luis Luna, Esther Ruiz-Galiana, Julian Varela, Manuel Diabetes Metab Syndr Obes Original Research AIMS: In many physiologic systems, the evolution from health to disease correlates with a loss of complexity in the system’s output. We analyze the difference in complexity of the glycemic profile in healthy volunteers (H), patients with the metabolic syndrome (MS), and patients with type 2 diabetes mellitus (DM). METHODS: We measured interstitial fluid glucose every 5 minutes for 3 days in 10 H, 10 MS, and 10 DM. Complexity of the glycemic profile was evaluated by means of detrended fluctuation analysis (DFA). Mean amplitude of glycemic excursions (MAGE) was also calculated. RESULTS: Glucose profile was more complex (lower DFA) in healthy subjects than in patients with MS or DM (mean DFA [SD]: H: 1.25 (0.10), MS: 1.39 (0.07), DM: 1.42 (0.10). ANOVA: F(2,27) = 9.94, p = 0.001). DM had also a less complex profile than MS, but this difference was not statistically significant. There was an inverse relation between complexity (lower DFA) and the number of MS defining criteria (rho = 0.55, p = 0.002) and between complexity and MAGE (r = 0.68, p < 0.0001). CONCLUSIONS: There is a progressive loss of complexity in the glycemic profile from health, through the metabolic syndrome to type 2 diabetes mellitus. This loss of complexity precedes hyperglycemia and correlates with other markers of disease progression. Complexity analysis may be a useful tool to track the evolution from health to type 2 diabetes. Furthermore, it may provide a way to measure glycemic control in real-life situations and has some distinct advantages over other conventional variability metrics. Dove Medical Press 2008-08-11 /pmc/articles/PMC3052716/ /pubmed/21437151 Text en © 2008 Churruca et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Churruca, Juan
Vigil, Luis
Luna, Esther
Ruiz-Galiana, Julian
Varela, Manuel
The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title_full The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title_fullStr The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title_full_unstemmed The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title_short The route to diabetes: Loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
title_sort route to diabetes: loss of complexity in the glycemic profile from health through the metabolic syndrome to type 2 diabetes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3052716/
https://www.ncbi.nlm.nih.gov/pubmed/21437151
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