Dataset Information

Associations between ionomic profile and metabolic abnormalities in human population.

ABSTRACT:

Background

Few studies assessed effects of individual and multiple ions simultaneously on metabolic outcomes, due to methodological limitation.

Methodology/principal findings

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.

Conclusions

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.

SUBMITTER: Sun L

PROVIDER: S-EPMC3374762 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Associations between ionomic profile and metabolic abnormalities in human population.

Sun Liang L Yu Yu Y Huang Tao T An Peng P Yu Danxia D Yu Zhijie Z Li Huaixing H Sheng Hongguang H Cai Lu L Xue Jun J Jing Miao M Li Yixue Y Lin Xu X Wang Fudi F

PloS one 20120613 6

<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. Fast ...[more]

PMID: 22719963

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Project description:BACKGROUND:Prevalence of nonalcoholic fatty liver disease (NAFLD) and rate of advanced fibrosis among individuals with metabolic syndrome (MetS) and its individual metabolic abnormalities needs better understanding in the United States population. We aim to study these by using a large United States population database, the Third National Health and Nutrition Examination Survey (NHANES III). METHODS:A total of 11,674 individuals were included in our study cohort. NAFLD was defined as presence of moderate to severe hepatic steatosis on liver ultrasound in absence of viral hepatitis, significant alcohol use, elevated transferrin level, and medication use leading to hepatic steatosis. Advanced fibrosis among those with NAFLD was determined using noninvasive method, the NAFLD fibrosis score. MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III definition. RESULTS:The prevalence of NAFLD among included study cohort was 18.2% (95% confidence interval, 16.5-19.9). Individuals with metabolic abnormalities demonstrated higher prevalence (MetS, 43.2%; increased waist circumference, 31.2%; impaired fasting glucose/diabetes, 41.2%; high triglyceride level, 34.7%; low high-density lipoprotein, 27.8%; high blood pressure, 29.2%). The individuals with MetS had significantly higher NAFLD prevalence compared with controls (adjusted odds ratio, 11.5; 95% confidence interval, 8.9-14.7). The severity of hepatic steatosis was also noted to increase with higher number of metabolic abnormalities. Among individual metabolic abnormalities, increased waist circumference, impaired fasting glucose/diabetes, high triglyceride, and low high-density lipoprotein levels were found to be independently associated with NAFLD. Individuals with impaired fasting glucose/diabetes and those with 5 metabolic abnormalities had higher rate of advanced fibrosis (18.6% and 30.3%, respectively). Prevalence of NAFLD among individuals without any metabolic abnormality was 6.1%. CONCLUSION:Prevalence of NAFLD and rate of advanced fibrosis are significantly high among individuals with metabolic abnormalities.

Dataset Information

Associations between ionomic profile and metabolic abnormalities in human population.

Background

Methodology/principal findings

Conclusions

Publications

Associations between ionomic profile and metabolic abnormalities in human population.

Similar Datasets

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