Role of imaging in cardiac stem cell therapy

Homing and engraftment of progenitor cells: a prerequisite for cell therapy

Cell therapy is a promising therapeutic option for treating patients with ischemic diseases. The efficiency of cell therapy to augment recovery after ischemia depends on the sufficient recruitment of applied cells to the target tissue. Using in vivo imaging techniques the extent of homing was shown to be rather low in most experimental and clinical studies. The elucidation of the molecular mechanisms of homing of different progenitor cell subpopulation to sites of injury is essential for the development of new specific therapeutic strategies, in order to improve the efficacy of cell-based therapies. Homing to sites of active neovascularization is a complex process depending on a timely and spatially orchestrated interplay between chemokines (e.g. SDF-1), chemokine receptors, intracellular signaling, adhesion molecules (selectins and integrins) and proteases. The review will focus on the mechanisms underlying homing of adult bone marrow-derived hematopoietic cells, mesenchymal stem cells, and vasculogenic circulating cells and discuss strategies how to optimize cell engraftment.

Therapeutic pathways of adult stem cell repair

The use of adult stem cells as therapeutic agents to treat disease has become increasingly prevalent. During the last decade, isolated and expanded stem and progenitor cells have demonstrated the capacity to differentiate into multiple cell types. Early optimism that in vitro differentiation capacity would translate into in vivo tissue regeneration has lessened and identifying the mechanisms that underlie the benefit of stem cell repair is an emerging area of investigation. This review considers several of the pathways and mechanisms required for adult stem cell repair. These mechanisms include the mobilization and the homing of stem cells to sites of injury, immunomodulatory effect of stem cells, and the association of stem cells with increased vascularization of injured tissue. These data suggest that the unique properties of adult stem cells can be utilized to treat a wide variety of diseases that cannot be treated with existing pharmacological agents, and prompt new paradigms for the bio-pharmacokinetics of biological expressed by efficacious stem cells.

Simulating invasion with cellular automata: connecting cell-scale and population-scale properties

Interpretive and predictive tools are needed to assist in the understanding of cell invasion processes. Cell invasion involves cell motility and proliferation, and is central to many biological processes including developmental morphogenesis and tumor invasion. Experimental data can be collected across a wide range of scales, from the population scale to the individual cell scale. Standard continuum or discrete models used in isolation are insufficient to capture this wide range of data. We develop a discrete cellular automata model of invasion with experimentally motivated rules. The cellular automata algorithm is applied to a narrow two-dimensional lattice and simulations reveal the formation of invasion waves moving with constant speed. The simulation results are averaged in one dimension-these data are used to identify the time history of the leading edge to characterize the population-scale wave speed. This allows the relationship between the population-scale wave speed and the cell-scale parameters to be determined. This relationship is analogous to well-known continuum results for Fisher's equation. The cellular automata algorithm also produces individual cell trajectories within the invasion wave that are analogous to cell trajectories obtained with new experimental techniques. Our approach allows both the cell-scale and population-scale properties of invasion to be predicted in a way that is consistent with multiscale experimental data. Furthermore we suggest that the cellular automata algorithm can be used in conjunction with individual data to overcome limitations associated with identifying cell motility mechanisms using continuum models alone.