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Multifractal Analysis for Nutritional Assessment

The concept of multifractality is currently used to describe self-similar and complex scaling properties observed in numerous biological signals. Fractals are geometric objects or dynamic variations which exhibit some degree of similarity (irregularity) to the original object in a wide range of scal...

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Autores principales: Park, Youngja, Lee, Kichun, Ziegler, Thomas R., Martin, Greg S., Hebbar, Gautam, Vidakovic, Brani, Jones, Dean P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749179/
https://www.ncbi.nlm.nih.gov/pubmed/23990878
http://dx.doi.org/10.1371/journal.pone.0069000
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author Park, Youngja
Lee, Kichun
Ziegler, Thomas R.
Martin, Greg S.
Hebbar, Gautam
Vidakovic, Brani
Jones, Dean P.
author_facet Park, Youngja
Lee, Kichun
Ziegler, Thomas R.
Martin, Greg S.
Hebbar, Gautam
Vidakovic, Brani
Jones, Dean P.
author_sort Park, Youngja
collection PubMed
description The concept of multifractality is currently used to describe self-similar and complex scaling properties observed in numerous biological signals. Fractals are geometric objects or dynamic variations which exhibit some degree of similarity (irregularity) to the original object in a wide range of scales. This approach determines irregularity of biologic signal as an indicator of adaptability, the capability to respond to unpredictable stress, and health. In the present work, we propose the application of multifractal analysis of wavelet-transformed proton nuclear magnetic resonance ((1)H NMR) spectra of plasma to determine nutritional insufficiency. For validation of this method on (1)H NMR signal of human plasma, standard deviation from classical statistical approach and Hurst exponent (H), left slope and partition function from multifractal analysis were extracted from (1)H NMR spectra to test whether multifractal indices could discriminate healthy subjects from unhealthy, intensive care unit patients. After validation, the multifractal approach was applied to spectra of plasma from a modified crossover study of sulfur amino acid insufficiency and tested for associations with blood lipids. The results showed that standard deviation and H, but not left slope, were significantly different for sulfur amino acid sufficiency and insufficiency. Quadratic discriminant analysis of H, left slope and the partition function showed 78% overall classification accuracy according to sulfur amino acid status. Triglycerides and apolipoprotein C3 were significantly correlated with a multifractal model containing H, left slope, and standard deviation, and cholesterol and high-sensitivity C-reactive protein were significantly correlated to H. In conclusion, multifractal analysis of (1)H NMR spectra provides a new approach to characterize nutritional status.
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spelling pubmed-37491792013-08-29 Multifractal Analysis for Nutritional Assessment Park, Youngja Lee, Kichun Ziegler, Thomas R. Martin, Greg S. Hebbar, Gautam Vidakovic, Brani Jones, Dean P. PLoS One Research Article The concept of multifractality is currently used to describe self-similar and complex scaling properties observed in numerous biological signals. Fractals are geometric objects or dynamic variations which exhibit some degree of similarity (irregularity) to the original object in a wide range of scales. This approach determines irregularity of biologic signal as an indicator of adaptability, the capability to respond to unpredictable stress, and health. In the present work, we propose the application of multifractal analysis of wavelet-transformed proton nuclear magnetic resonance ((1)H NMR) spectra of plasma to determine nutritional insufficiency. For validation of this method on (1)H NMR signal of human plasma, standard deviation from classical statistical approach and Hurst exponent (H), left slope and partition function from multifractal analysis were extracted from (1)H NMR spectra to test whether multifractal indices could discriminate healthy subjects from unhealthy, intensive care unit patients. After validation, the multifractal approach was applied to spectra of plasma from a modified crossover study of sulfur amino acid insufficiency and tested for associations with blood lipids. The results showed that standard deviation and H, but not left slope, were significantly different for sulfur amino acid sufficiency and insufficiency. Quadratic discriminant analysis of H, left slope and the partition function showed 78% overall classification accuracy according to sulfur amino acid status. Triglycerides and apolipoprotein C3 were significantly correlated with a multifractal model containing H, left slope, and standard deviation, and cholesterol and high-sensitivity C-reactive protein were significantly correlated to H. In conclusion, multifractal analysis of (1)H NMR spectra provides a new approach to characterize nutritional status. Public Library of Science 2013-08-21 /pmc/articles/PMC3749179/ /pubmed/23990878 http://dx.doi.org/10.1371/journal.pone.0069000 Text en © 2013 Park et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Park, Youngja
Lee, Kichun
Ziegler, Thomas R.
Martin, Greg S.
Hebbar, Gautam
Vidakovic, Brani
Jones, Dean P.
Multifractal Analysis for Nutritional Assessment
title Multifractal Analysis for Nutritional Assessment
title_full Multifractal Analysis for Nutritional Assessment
title_fullStr Multifractal Analysis for Nutritional Assessment
title_full_unstemmed Multifractal Analysis for Nutritional Assessment
title_short Multifractal Analysis for Nutritional Assessment
title_sort multifractal analysis for nutritional assessment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749179/
https://www.ncbi.nlm.nih.gov/pubmed/23990878
http://dx.doi.org/10.1371/journal.pone.0069000
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