Associations between ionomic profile and metabolic abnormalities in human population.

<h4>Background</h4>Few studies assessed effects of individual and multiple ions simultaneously on metabolic outcomes, due to methodological limitation.<h4>Methodology/principal findings</h4>By combining advanced ionomics and mutual information, a quantifying measurement for m...

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Autores principales:	Liang Sun, Yu Yu, Tao Huang, Peng An, Danxia Yu, Zhijie Yu, Huaixing Li, Hongguang Sheng, Lu Cai, Jun Xue, Miao Jing, Yixue Li, Xu Lin, Fudi Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7505e3f10b334ba29002eac6dc6b42a8
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spelling	oai:doaj.org-article:7505e3f10b334ba29002eac6dc6b42a82021-11-18T07:15:36ZAssociations between ionomic profile and metabolic abnormalities in human population.1932-620310.1371/journal.pone.0038845https://doaj.org/article/7505e3f10b334ba29002eac6dc6b42a82012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22719963/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Few studies assessed effects of individual and multiple ions simultaneously on metabolic outcomes, due to methodological limitation.<h4>Methodology/principal findings</h4>By combining advanced ionomics and mutual information, a quantifying measurement for mutual dependence between two random variables, we investigated associations of ion modules/networks with overweight/obesity, metabolic syndrome (MetS) and type 2 diabetes (T2DM) in 976 middle-aged Chinese men and women. Fasting plasma ions were measured by inductively coupled plasma mass spectroscopy. Significant ion modules were selected by mutual information to construct disease related ion networks. Plasma copper and phosphorus always ranked the first two among three specific ion networks associated with overweight/obesity, MetS and T2DM. Comparing the ranking of ion individually and in networks, three patterns were observed (1) "Individual ion," such as potassium and chrome, which tends to work alone; (2) "Module ion," such as iron in T2DM, which tends to act in modules/network; and (3) "Module-individual ion," such as copper in overweight/obesity, which seems to work equivalently in either way.<h4>Conclusions</h4>In conclusion, by using the novel approach of the ionomics strategy and the information theory, we observed potential associations of ions individually or as modules/networks with metabolic disorders. Certainly, these findings need to be confirmed in future biological studies.Liang SunYu YuTao HuangPeng AnDanxia YuZhijie YuHuaixing LiHongguang ShengLu CaiJun XueMiao JingYixue LiXu LinFudi WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e38845 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Liang Sun Yu Yu Tao Huang Peng An Danxia Yu Zhijie Yu Huaixing Li Hongguang Sheng Lu Cai Jun Xue Miao Jing Yixue Li Xu Lin Fudi Wang Associations between ionomic profile and metabolic abnormalities in human population.
description	<h4>Background</h4>Few studies assessed effects of individual and multiple ions simultaneously on metabolic outcomes, due to methodological limitation.<h4>Methodology/principal findings</h4>By combining advanced ionomics and mutual information, a quantifying measurement for mutual dependence between two random variables, we investigated associations of ion modules/networks with overweight/obesity, metabolic syndrome (MetS) and type 2 diabetes (T2DM) in 976 middle-aged Chinese men and women. Fasting plasma ions were measured by inductively coupled plasma mass spectroscopy. Significant ion modules were selected by mutual information to construct disease related ion networks. Plasma copper and phosphorus always ranked the first two among three specific ion networks associated with overweight/obesity, MetS and T2DM. Comparing the ranking of ion individually and in networks, three patterns were observed (1) "Individual ion," such as potassium and chrome, which tends to work alone; (2) "Module ion," such as iron in T2DM, which tends to act in modules/network; and (3) "Module-individual ion," such as copper in overweight/obesity, which seems to work equivalently in either way.<h4>Conclusions</h4>In conclusion, by using the novel approach of the ionomics strategy and the information theory, we observed potential associations of ions individually or as modules/networks with metabolic disorders. Certainly, these findings need to be confirmed in future biological studies.
format	article
author	Liang Sun Yu Yu Tao Huang Peng An Danxia Yu Zhijie Yu Huaixing Li Hongguang Sheng Lu Cai Jun Xue Miao Jing Yixue Li Xu Lin Fudi Wang
author_facet	Liang Sun Yu Yu Tao Huang Peng An Danxia Yu Zhijie Yu Huaixing Li Hongguang Sheng Lu Cai Jun Xue Miao Jing Yixue Li Xu Lin Fudi Wang
author_sort	Liang Sun
title	Associations between ionomic profile and metabolic abnormalities in human population.
title_short	Associations between ionomic profile and metabolic abnormalities in human population.
title_full	Associations between ionomic profile and metabolic abnormalities in human population.
title_fullStr	Associations between ionomic profile and metabolic abnormalities in human population.
title_full_unstemmed	Associations between ionomic profile and metabolic abnormalities in human population.
title_sort	associations between ionomic profile and metabolic abnormalities in human population.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/7505e3f10b334ba29002eac6dc6b42a8
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Associations between ionomic profile and metabolic abnormalities in human population.

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