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通过组织磁特性表征在大鼠模型中观察到的肝脏铁沉积的生物无机转化

Bioinorganic transformations of liver iron deposits observed by tissue magnetic characterisation in a rat model.

作者信息

Gutiérrez Lucía, Lázaro Francisco J, Abadía Ana R, Romero María S, Quintana Carmen, Puerto Morales M, Patiño Cristina, Arranz Rocío

机构信息

Departamento de Ciencia y Tecnología de Materiales y Fluidos, Universidad de Zaragoza, 50018 Zaragoza, Spain.

出版信息

J Inorg Biochem. 2006 Nov;100(11):1790-9. doi: 10.1016/j.jinorgbio.2006.06.010. Epub 2006 Jul 4.

DOI:10.1016/j.jinorgbio.2006.06.010
PMID:16899298
Abstract

The magnetic properties and the ultrastructure, with special emphasis on the nanometric range, of liver tissues in an iron overload rat model have been investigated. The tissues of the animals, sacrificed at different times after a single iron dextran injection, have been characterised by magnetic AC susceptibility measurements together with transmission electron microscopy (TEM) and selected area electron diffraction (SAED) as helping techniques. It has been observed that few days after the iron administration the liver contains at least two iron species: (i) akaganéite nanoparticles, coming from iron dextran and (ii) ferrihydrite nanoparticles corresponding to ferritin. The magnetic susceptibility of the tissues depends not only on the elemental iron content but also on its distribution among chemical species, and varies in a remarkable regular manner as a function of the elapsed time since the iron administration. The results are of relevance with respect to non-invasive techniques for liver iron determination, directly or indirectly based on the magnetic susceptibility of the tissues, as biomagnetic liver susceptometry (BLS) and magnetic resonance (MRI) image treatment.

摘要

对铁过载大鼠模型肝脏组织的磁性和超微结构进行了研究,特别关注纳米尺度范围。在单次注射葡聚糖铁后不同时间处死的动物组织,通过交流磁化率测量以及透射电子显微镜(TEM)和选区电子衍射(SAED)等辅助技术进行了表征。观察到在给予铁几天后,肝脏中至少含有两种铁物种:(i)来自葡聚糖铁的针铁矿纳米颗粒,以及(ii)对应于铁蛋白的水铁矿纳米颗粒。组织的磁化率不仅取决于元素铁含量,还取决于其在化学物种中的分布,并且自给予铁后随时间的推移以显著的规律方式变化。这些结果对于直接或间接基于组织磁化率的肝脏铁测定的非侵入性技术具有相关性,如生物磁肝脏磁强计(BLS)和磁共振(MRI)图像处理。

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