Associations between ionomic profile and metabolic abnormalities in human population.
Associations between ionomic profile and metabolic abnormalities in human population.
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人类离子组谱与代谢异常之间的关联
DOI：
10.1371/journal.pone.0038845
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Wang F
中科院分区：
文献类型：
--
作者：
Sun L;Yu Y;Huang T;An P;Yu D;Yu Z;Li H;Sheng H;Cai L;Xue J;Jing M;Li Y;Lin X;Wang F
由于方法学的限制，很少有研究同时评估单个和多个离子对代谢结果的影响。方法/主要发现通过结合先进的离子组学和互信息，两个随机变量之间的相互依赖的定量测量，我们调查了976名中年男性和女性的离子模块/网络与超重/肥胖，代谢综合征（MetS）和2型糖尿病（T2 DM）的关联。通过电感耦合等离子体质谱法测量空腹血浆离子。通过互信息量选择重要离子模块构建疾病相关离子网络。在与超重/肥胖、代谢综合征和2型糖尿病相关的3个特异性离子网络中，血浆铜和磷始终排在前2位。比较单独和网络中离子的排序，观察到三种模式：（1）“单独离子”，如钾和Chrome，倾向于单独起作用;（2）“模块离子”，如T2 DM中的铁，倾向于以模块/网络起作用;和（3）“模块-单独离子”，如超重/肥胖中的铜，似乎以任何一种方式起作用。结论通过运用离子组学策略和信息论的新方法，我们观察到了离子个体或作为模块/网络与代谢紊乱的潜在关联。当然，这些发现需要在未来的生物学研究中得到证实。
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.
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影响因子：
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作者：
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通讯作者：
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