Mouse genetic background impacts both on iron and non-iron metals parameters and on their relationships

Mouse genetic background impacts both on iron and non-iron metals parameters and on their relationships
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DOI:
10.1007/s10534-015-9862-8
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发表时间:
2015-08-01
期刊:
影响因子:
3.5
通讯作者:
Loreal, Olivier
Loreal, Olivier
中科院分区:
生物学3区
文献类型:
--
作者:
Cavey, Thibault;Ropert, Martine;Loreal, Olivier

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据报道,铁能与其他金属相互作用。此外,已有研究表明遗传背景可能影响铁代谢。我们的目的是在三种遗传背景的小鼠中,描述铁和几种非铁金属之间的联系。选取30只正常小鼠(C57BL/6、Balb/c和DBA/2,每组n = 10只),饲喂相同的日粮。血浆、红细胞、肝脏和脾脏中的铁、锌、钴、铜、锰、镁和铷采用ICP/MS定量。测定转铁蛋白饱和度。采用定量RT-PCR法检测肝脏hepcidin1 mRNA表达水平。正如先前报道的那样,铁参数受遗传背景的调节,DBA/2和Balb/c菌株的血浆铁参数和肝铁浓度显著升高。DBA/2小鼠肝脏hepcidin1 mRNA水平较低。铁参数与hepcidin1mrna水平无相关性。对非铁金属数据的主成分分析表明,金属参数根据其遗传背景对小鼠进行分层。确定了依赖或独立于遗传背景的血浆和组织金属参数。此外,还发现了血浆和组织铁含量与其他一些金属参数之间的关系。我们的数据:(i)证实了遗传背景对铁参数的影响,(ii)表明遗传背景也可能在非铁金属的代谢中发挥作用,(iii)确定了铁和其他金属参数之间的联系,这可能对铁代谢的理解和潜在的调节有影响。
Iron is reported to interact with other metals. In addition, it has been shown that genetic background may impact iron metabolism. Our objective was to characterize, in mice of three genetic backgrounds, the links between iron and several non-iron metals. Thirty normal mice (C57BL/6, Balb/c and DBA/2; n = 10 for each group), fed with the same diet, were studied. Quantification of iron, zinc, cobalt, copper, manganese, magnesium and rubidium was performed by ICP/MS in plasma, erythrocytes, liver and spleen. Transferrin saturation was determined. Hepatic hepcidin1 mRNA level was evaluated by quantitative RT-PCR. As previously reported, iron parameters were modulated by genetic background with significantly higher values for plasma iron parameters and liver iron concentration in DBA/2 and Balb/c strains. Hepatic hepcidin1 mRNA level was lower in DBA/2 mice. No iron parameter was correlated with hepcidin1 mRNA levels. Principal component analysis of the data obtained for non-iron metals indicated that metals parameters stratified the mice according to their genetic background. Plasma and tissue metals parameters that are dependent or independent of genetic background were identified. Moreover, relationships were found between plasma and tissue content of iron and some other metals parameters. Our data: (i) confirms the impact of the genetic background on iron parameters, (ii) shows that genetic background may also play a role in the metabolism of non-iron metals, (iii) identifies links between iron and other metals parameters which may have implications in the understanding and, potentially, the modulation of iron metabolism.