Compatibility of superparamagnetic iron oxide nanoparticle labeling for ¹H MRI cell tracking with ³¹P MRS for bioenergetic measurements.
Compatibility of superparamagnetic iron oxide nanoparticle labeling for ¹H MRI cell tracking with ³¹P MRS for bioenergetic measurements.
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DOI：
10.1002/nbm.1545
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发表时间：
2010-12
影响因子：
2.9
通讯作者：
Fishbein, Kenneth W.
中科院分区：
文献类型：
--
作者：
Zhang, Zhuoli;Hancock, Brynne;Leen, Stephanie;Ramaswamy, Sharan;Sollott, Steven J.;Boheler, Kenneth R.;Juhaszova, Magdalena;Lakatta, Edward G.;Spencer, Richard G.;Fishbein, Kenneth W.
用超顺磁性氧化铁纳米颗粒标记细胞允许通过1H MRI跟踪细胞，而31P MRS允许非侵入性评估细胞生物能量学。我们通过获得铁标记和未标记的固定化C2C12成肌细胞在体外的31P NMR光谱，评估这两种技术的兼容性。拓宽，但可用的31 P光谱，得到的共振峰面积比对应于细胞内代谢物显示标记和未标记的细胞群体之间没有显着差异。我们的结论是，31P NMR光谱可以从标记有足够的铁，允许可视化的1H成像协议的细胞，这些光谱有足够的质量，用于评估代谢状态。这一结果引入了使用局部31P MRS来评估铁标记的治疗细胞以及周围宿主组织在体内的活力的可能性。
Labeling of cells with superparamagnetic iron oxide nanoparticles permits cell tracking by 1H MRI while 31P MRS allows non-invasive evaluation of cellular bioenergetics. We evaluated the compatibility of these two techniques by obtaining 31P NMR spectra of iron-labeled and unlabeled immobilized C2C12 myoblast cells in vitro. Broadened but usable 31P spectra were obtained, and peak area ratios of resonances corresponding to intracellular metabolites showed no significant differences between labeled and unlabeled cell populations. We conclude that 31P NMR spectra can be obtained from cells labeled with sufficient iron to permit visualization by 1H imaging protocols and that these spectra have sufficient quality to be used in assessing metabolic status. This result introduces the possibility of using localized 31P MRS to evaluate the viability of iron-labeled therapeutic cells as well as surrounding host tissue in vivo.
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影响因子：
6.2
作者：
Cahill, KS;Gaidosh, G;Walter, GA
通讯作者：
Walter, GA
DOI：
10.1016/0167-4889(94)90005-1
发表时间：
1994-03-31
影响因子：
5.1
作者：
IVANICS, T;BLUM, H;OSBAKKEN, M
通讯作者：
OSBAKKEN, M
影响因子：
4.4
作者：
Rad, Ali M.;Arbab, Ali S.;Soltanian-Zadeh, Hamid
通讯作者：
Soltanian-Zadeh, Hamid
影响因子：
4.8
作者：
Jing, Ying;Mal, Niladri;Zborowski, Maciej
通讯作者：
Zborowski, Maciej
影响因子：
37.8
作者：
Terrovitis, John;Stuber, Matthias;Abraham, M. Roselle
通讯作者：
Abraham, M. Roselle