The sensitivity of magnetic particle imaging and fluorine-19 magnetic resonance imaging for cell tracking.

Magnetic particle imaging (MPI) and fluorine-19 (19F) MRI produce images which allow for quantification of labeled cells. MPI is an emerging instrument for cell tracking, which is expected to have superior sensitivity compared to 19F MRI. Our objective is to assess the cellular sensitivity of MPI and 19F MRI for detection of mesenchymal stem cells (MSC) and breast cancer cells. Cells were labeled with ferucarbotran or perfluoropolyether, for imaging on a preclinical MPI system or 3 Tesla clinical MRI, respectively. Using the same imaging time, as few as 4000 MSC (76 ng iron) and 8000 breast cancer cells (74 ng iron) were reliably detected with MPI, and 256,000 MSC (9.01 × 1016 19F atoms) were detected with 19F MRI, with SNR > 5. MPI has the potential to be more sensitive than 19F MRI for cell tracking. In vivo sensitivity with MPI and 19F MRI was evaluated by imaging MSC that were administered by different routes. In vivo imaging revealed reduced sensitivity compared to ex vivo cell pellets of the same cell number. We attribute reduced MPI and 19F MRI cell detection in vivo to the effect of cell dispersion among other factors, which are described.

Cell tracking, survival, and differentiation capacity of adipose-derived stem cells after engraftment in rat tissue.

Adipose tissue is an important source of adipose derived stem cells (ADSCs). These cells have the potential of being used for certain therapies, in which the main objective is to recover the function of a tissue/organ affected by a disease. In order to contribute to repair of the tissue, these cells should be able to survive and carry out their functions in unfavorable conditions after being transplanted. This process requires a better understanding of the biology involved: such as the time cells remain in the implant site, how long they stay there, and whether or not they differentiate into host tissue cells. This report focuses on these questions. ADSC were injected into three different tissues (substantia nigra, ventricle, liver) and they were tracked in vivo with a dual GFP-Luc reporter system. The results show that ADSCs were able to survive up to 4 months after the engraftment and some of them started showing resident cell tissue phenotype. These results demonstrate their long-term capacity of survival and differentiation when injected in vivo.

Cellular imaging using temporally flickering nanoparticles.

Utilizing the surface plasmon resonance effect in gold nanoparticles enables their use as contrast agents in a variety of applications for compound cellular imaging. However, most techniques suffer from poor signal to noise ratio (SNR) statistics due to high shot noise that is associated with low photon count in addition to high background noise. We demonstrate an effective way to improve the SNR, in particular when the inspected signal is indistinguishable in the given noisy environment. We excite the temporal flickering of the scattered light from gold nanoparticle that labels a biological sample. By preforming temporal spectral analysis of the received spatial image and by inspecting the proper spectral component corresponding to the modulation frequency, we separate the signal from the wide spread spectral noise (lock-in amplification).

A highly sensitive and accurate method to quantify absolute numbers of c-kit+ cardiac stem cells following transplantation in mice.

Although transplantation of c-kit+ cardiac stem cells (CSCs) alleviates post-myocardial infarction left ventricular dysfunction, there are no reliable methods that enable measurement of the absolute number of CSCs that persist in the recipient heart. To overcome this limitation, we developed a highly sensitive and accurate method to quantify the absolute number of murine CSCs after transplantation. This method has two unique features: (1) real-time PCR-based detection of a novel male-specific, multiple-copy gene, Rbmy, which significantly increases the sensitivity of detection of male donor cells in a female recipient, and (2) an internal standard, which permits quantification of the absolute number of CSCs as well as the total number of cells in the recipient organ. Female C57BL/6 mice underwent coronary occlusion and reperfusion; 2 days later, 10(5) male mouse CSCs were injected intramyocardially. Tissues were analyzed by real-time PCR at serial time points. In the risk region, >75 % of CSCs present at 5 min were lost in the ensuing 24 h; only 7.6 ± 2.1 % of the CSCs present at 5 min could still be found at 7 days after transplantation and only 2.8 ± 0.5 % (i.e., 1,224 ± 230 cells/heart) at 35 days. Thus, even after direct intramyocardial injection, the total number of CSCs that remain in the murine heart is minimal (at 24 h, ~10 % of the cells injected; at 35 days, ~1 %). This new quantitative method of stem cell detection, which enables measurement of absolute cell number, should be useful to optimize cell-based therapies, not only for CSCs but also for other stem cells and other organs.

Stem cell tracking in human trials: a meta-regression.

The potential effectiveness of cell therapies is dependent upon homing of transplanted cells to relevant target organs. In this study we firstly characterise the range of methods employed in all human therapeutic-cell studies published to date investigated with cell-tracking. Secondly, we determine factors that predict target-organ cell uptake efficiency by meta-regression. Following a comprehensive literature search, we identified 19 relevant trials, representing 145 patients over the following 7 diseases: myocardial infarction; Chagasic cardiomyopathy; ischemic stroke; traumatic injury of brain or spinal cord; diabetes and cirrhosis. Cell-labelling strategies employed were: 18-fluorodeoxyglucose-PET, 111-indium-SPECT; 99-technetium-SPECT, and iron oxide-MRI. The following methodological parameters were extracted: label type; label dose; labelling efficiency; stability; cell dose; percentage labelled cells; disease type and chronicity; cell purity; cell type; and cell uptake efficiency. Meta-regression techniques were used to identify predictors of cell-labelling efficiency; viability and cell uptake efficiency. These analyses found that labelling efficiency is proportionate to cell dose, while cell viability is lowest with indium and long label incubation times. Uptake efficiency of cells is predicted by stem cell purity (positive association) and cell infusion number (negative association), although these two variables are themselves strongly negatively correlated between studies. In summary the methodological factors associated with enhanced therapeutic-cell homing from both our own analysis, and within-trial comparisons, are: acute (versus chronic) disease, selective stem cells (versus unselected cells), and intra-arterial (versus intravenous) delivery. However, future trials need to keep cell doses and imaging times constant so as to enable meaningful comparisons in uptake efficiency.