Application of the static dephasing regime theory to superparamagnetic iron-oxide loaded cells
Application of the static dephasing regime theory to superparamagnetic iron-oxide loaded cells
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DOI:
10.1002/mrm.10192
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发表时间:
2002-07-01
影响因子:
3.3
通讯作者:
Rutt, BK
中科院分区:
文献类型:
--
作者:
Bowen, CV;Zhang, XW;Rutt, BK
The relaxation rates of iron-oxide nanoparticles compartmentalized within cells were studied and found to satisfy predictions of the static dephasing (SD) regime theory. THP-1 cells in cell culture were loaded using two different iron-oxide nanoparticles (superparamagnetic iron-oxide (SPIO) and ultrasmall SPIO (USPIO) with four different iron concentrations (0.05, 0.1, 0.2, and 0.3 mg/ml) and for five different incubation times (6,12, 24, 36, and 48 hr). Cellular iron-oxide uptake was assessed using a newly developed imaging version of MR susceptometry, and was found to be linear with both dose and incubation time. R*(2) sensitivity to iron-oxide loaded cells was found to be 70 times greater than for R-2, and 3100 times greater than for R-1. This differs greatly from uniformly distributed nanoparticles and is consistent with a cellular bulk magnetic susceptibility (BMS) relaxation mechanism. The cellular magnetic moment was large enough that R'(2) relaxivity agreed closely with SD regime theory predictions for all cell samples tested [R'(2) = 2pi/(9root3) (.) gammaLMD] where the local magnetic dose (LIVID) is the sample magnetization due to the presence of iron-oxide particles). Uniform suspensions of SPIO and USPIO produced R'(2) relaxivities that were a factor of 3 and 8 less, respectively, than SD regime theory predictions. These results are consistent with theoretical estimates of the required mass of iron per compartment needed to guarantee SD-regime-dominant relaxivity. For cellular samples, R-2 was shown to be dependent on both the concentration and distribution of iron-oxide particles, while R'(2) was sensitive to iron-oxide concentration alone. This work is an important first step in quantifying cellular iron content and ultimately mapping the density of a targeted cell population. (C) 2002 Wiley-Liss, Inc.