Nanotopographical control of human osteoprogenitor differentiation

Current load-bearing orthopaedic implants are produced in 'bio-inert' materials such as titanium alloys. When inserted into the reamed bone during hip or knee replacement surgery the implants interact with mesenchymal populations including the bone marrow. Bio-inert materials are shielded from the body by differentiation of the cells along the fibroblastic lineage producing scar tissue and inferior healing. This is exacerbated by implant micromotion, which can lead to capsule formation. Thus, next-generation implant materials will have to elicit influence over osteoprogenitor differentiation and mesenchymal populations in order to recruit osteoblastic cells and produce direct bone apposition onto the implant. A powerful method of delivering cues to cells is via topography. Micro-scale topography has been shown to affect cell adhesion, migration, cytoskeleton, proliferation and differentiation of a large range of cell types (thus far all cell types tested have been shown to be responsive to topographical cues). More recent research with nanotopography has also shown a broad range of cell response, with fibroblastic cells sensing down to 10 nm in height. Initial studies with human mesenchymal populations and osteoprogenitor populations have again shown strong cell responses to nanofeatures with increased levels of osteocalcin and osteopontin production from the cells on certain topographies. This is indicative of increased osteoblastic activity on the nanotextured materials. Looking at preliminary data, it is tempting to speculate that progenitor cells are, in fact, more responsive to topography than more mature cell types and that they are actively seeking cues from their environment. This review will investigate the range of nanotopographies available to researchers and our present understanding of mechanisms of progenitor cell response. Finally, it will make some speculations of the future of nanomaterials and progenitor cells in tissue engineering.     

外源性电场对组织修复过程中细胞行为的影响

组织修复涉及一系列复杂的生理学、免疫学及细胞生物学过程。研究表明,受损组织周围存在着一定强度的内源性电场,类似生理强度的外源性电场能指导细胞定向迁移、控制细胞极化、调节细胞增殖和分化等一系列生物学行为。该文针对外源性电场在伤口愈合、骨组织愈合以及血管新生过程中的细胞生物学作用及其对修复过程中组织水平的影响进行综述,以期为外源性电场在今后临床中的应用提供参考。     

Modelling the early phases of bone regeneration around an endosseous oral implant

The objective of this study was to see whether a mathematical model of fracture healing was able to mimic bone formation around an unloaded screw-shaped titanium implant as it is well-believed that both processes exhibit many biological similarities. This model describes the spatio-temporal evolution of cellular activities, ranging from mesenchymal stem cell migration, proliferation, differentiation to bone formation, which are initiated and regulated by the growth factors present at the peri-implant site. For the simulations, a finite volume code was used and adequate initial and boundary conditions were applied. Two sets of analyses have been performed, in which either initial and boundary condition or model parameter values were changed with respect to the fracture healing model parameter values. For a number of combinations, the spatio-temporal evolution of bone density was well-predicted. However reducing cell proliferation rate and increasing osteoblast differentiation and osteogenic growth factor synthesis rates, the simulation results were in agreement with the experimental data.     

A mathematical framework to study the effects of growth factor influences on fracture healing

During fracture healing, multipotential stem cells differentiate into specialized cells responsible for producing the different tissues involved in the bone regeneration process. This cell differentiation has been shown to be regulated by locally expressed growth factors. The details of their regulatory mechanisms need to be understood. In this work, we present a two-dimensional mathematical model of the bone healing process for moderate fracture gap sizes and fracture stability. The inflammatory and tissue regeneration stages of healing are simulated by modeling mesenchymal cell migration; mesenchymal cell, chondrocyte and osteoblast proliferation and differentiation, and extracellular matrix synthesis and degradation over time. The effects of two generic growth factors on cell differentiation are based on the experimentally studied chondrogenic and osteogenic effects of bone morphogenetic proteins-2 and 4 and transforming growth factor-beta-1, respectively. The model successfully simulates the progression of healing and predicts that the rate of osteogenic growth factor production by osteoblasts and the duration of the initial release of growth factors upon injury are particularly important parameters for complete ossification and successful healing. This temporo-spatial model of fracture healing is the first model to consider the effects of growth factors. It will help us understand the regulatory mechanisms involved in bone regeneration and provides a mathematical framework with which to design experiments and understand pathological conditions.     

Vector migration and dispersal rates for sylvatic Trypanosoma cruzi transmission

The spread of vector-borne diseases are greatly increased by a vector's ability to migrate. Recent studies of sylvatic Trypanosoma cruzi transmission have motivated the study of vector migration across geographic regions. Due to the natural mechanisms in which vector-borne diseases are transmitted between vectors and hosts, vector dispersal among different host populations is a critical factor in the ability of the parasite to be spread across large regions. In this study we develop a general framework for deriving large-scale, discrete-space migration rates from small-scale, continuous-space dispersal data. We identify three defining characteristics of vector migration: distance, preferred direction of dispersal, and strength of preference for a particular direction. We consider several migration scenarios in which vectors may have no preference for dispersal in a particular direction or may disperse with a preferred direction, such as northeast. We examine what effect preferred direction has on the migration rate, as well as use the local to global framework to calculate numerical estimates for vector migration rates for the primary vectors in the southeast U.S. and northern Mexico, Triatoma sanguisuga and Triatoma gerstaeckeri, based on biological and experimental data. Results from this study can be applied to metapopulation models for species that migrate.     

A biased random walk model for the trajectories of swimming micro-organisms

The motion of swimming micro-organisms that have a preferred direction of travel, such as single-celled algae moving upwards (gravitaxis) or towards a light source (phototaxis), is modelled as the continuous limit of a correlated and biased random walk as the time step tends to zero. This model leads to a Fokker-Planck equation for the probability distribution function of the orientation of the cells, from which macroscopic parameters such as the mean cell swimming direction and the diffusion coefficient due to cell swimming can be calculated. The model is tested on experimental data for gravitaxis and phototaxis and used to derive values for the macroscopic parameters for future use in theories of bioconvection, for example.     

Simulation of fracture healing incorporating mechanoregulation of tissue differentiation and dispersal/proliferation of cells

Modelling the course of healing of a long bone subjected to loading has been the subject of several investigations. These have succeeded in predicting the differentiation of tissues in the callus in response to a static mechanical load and the diffusion of biological factors. In this paper an approach is presented which includes both mechanoregulation of tissue differentiation and the diffusion and proliferation of cell populations (mesenchymal stem cells, fibroblasts, chondrocytes, and osteoblasts). This is achieved in a three-dimensional poroelastic finite element model which, being poroelastic, can model the effect of the frequency of dynamic loading. Given the number of parameters involved in the simulation, a parameter variation study is reported, and final parameters are selected based on comparison with an in vivo experiment. The model predicts that asymmetric loading creates an asymmetric distribution of tissues in the callus, but only for high bending moments. Furthermore the frequency of loading is predicted to have an effect. In conclusion, a numerical algorithm is presented incorporating both mechanoregulation and evolution of cell populations, and it proves capable of predicting realistic difference in bone healing in a 3D fracture callus.     

Bone ingrowth around porous-coated acetabular implant: a three-dimensional finite element study using mechanoregulatory algorithm

Fixation of uncemented implant is influenced by peri-prosthetic bone ingrowth, which is dependent on the mechanical environment of the implant–bone structure. The objective of the study is to gain an insight into the tissue differentiation around an acetabular component. A mapping framework has been developed to simulate appropriate mechanical environment in the three-dimensional microscale model, implement the mechanoregulatory tissue differentiation algorithm and subsequently assess spatial distribution of bone ingrowth around an acetabular component, quantitatively. The FE model of implanted pelvis subjected to eight static load cases during a normal walking cycle was first solved. Thereafter, a mapping algorithm has been employed to include the variations in implant–bone relative displacement and host bone material properties from the macroscale FE model of implanted pelvis to the microscale FE model of the beaded implant–bone interface. The evolutionary tissue differentiation was observed in each of the 13 microscale models corresponding to 13 acetabular regions. The total implant–bone relative displacements, averaged over each region of the acetabulum, were found to vary between 10 and 60 \(\upmu \hbox {m}\). Both the linear elastic and biphasic poroelastic models predicted similar mechanoregulatory peri-prosthetic tissue differentiation. Considerable variations in bone ingrowth (13–88 %), interdigitation depth (0.2–0.82 mm) and average tissue Young’s modulus (970–3430 MPa) were predicted around the acetabular cup. A progressive increase in the average Young’s modulus, interdigitation depth and decrease in average radial strains of newly formed tissue layer were also observed. This scheme can be extended to investigate tissue differentiation for different surface texture designs on the implants.     

The Locomotion of Mouse Fibroblasts in Tissue Culture

Time-lapse cinematography was used to investigate the motion of mouse fibroblasts in tissue culture. Observations over successive short time intervals revealed a tendency for the cells to persist in their direction of motion from one 2.5 hr time interval to the next. Over 5.0-hr time intervals, however, the direction of motion appeared random. This fact suggested that D, the diffusion constant of a random walk model, might serve to characterize cellular motility if suitably long observation times were used. We therefore investigated the effect of “persistence” on the pure random walk model, and we found theoretically and confirmed experimentally that the motility of a persisting cell could indeed be characterized by an augmented diffusion constant, D*. A method for determining confidence limits on D* was also developed. Thus a random walk model, modified to comprehend the persistence effect, was found to describe the motion of fibroblasts in tissue culture and to provide a numerical measure of cellular motility.     

Supercritical fluid-assisted controllable fabrication of open and highly interconnected porous scaffolds for bone tissue engineering

Recently tremendous progress has been evidenced by the advancements in developing innovative three-dimensional(3 D)scaffolds using various techniques for addressing the autogenous grafting of bone. In this work, we demonstrated the fabrication of porous polycaprolactone(PCL) scaffolds for osteogenic differentiation based on supercritical fluid-assisted hybrid processes of phase inversion and foaming. This eco-friendly process resulted in the highly porous biomimetic scaffolds with open and interconnected architectures. Initially, a 2~3 factorial experiment was designed for investigating the relative significance of various processing parameters and achieving better control over the porosity as well as the compressive mechanical properties of the scaffold. Then, single factor experiment was carried out to understand the effects of various processing parameters on the morphology of scaffolds. On the other hand, we encapsulated a growth factor, i.e., bone morphogenic protein-2(BMP-2), as a model protein in these porous scaffolds for evaluating their osteogenic differentiation. In vitro investigations of growth factor loaded PCL scaffolds using bone marrow stromal cells(BMSCs) have shown that these growth factor-encumbered scaffolds were capable of differentiating the cells over the control experiments. Furthermore, the osteogenic differentiation was confirmed by measuring the cell proliferation, and alkaline phosphatase(ALP) activity, which were significantly higher demonstrating the active bone growth. Together, these results have suggested that the fabrication of growth factor-loaded porous scaffolds prepared by the eco-friendly hybrid processing efficiently promoted the osteogenic differentiation and may have a significant potential in bone tissue engineering.     

The effect of short-term, high glucose concentration on endothelial cells and leukocytes in a 3D in vitro human vascular tissue model

Efforts to determine a link between diabetes and atherosclerosis have involved examining the effect of high glucose levels on the adhesion and migration of circulating leukocytes, mostly monocytes and T lymphocytes. Leukocyte differentiation and proliferation within the subendothelial space can also be investigated by the use of a 3D in vitro human vascular tissue model. This model was used to study the effect of short-term, high glucose concentration on certain cell behavior associated with the early stages of atherosclerosis. Samples were exposed to either a 30- or 5.6-mM glucose concentration for 9 h to represent either hyperglycemic or normoglycemic conditions, respectively. There was a significant increase in vascular cell adhesion molecule-1 expression on the endothelial cells exposed to a 30-mM compared to a 5.6-mM glucose concentration. There was no significant difference in either intercellular adhesion molecule-1 or E-selectin expression on the endothelial cells exposed to a 30-mM compared to a 5.6-mM glucose concentration. After the endothelium was exposed to 30 mM glucose concentration, there was a 70% increase in the number of monocytes (CD14⁺) migrating across the endothelium and a 28% increase in the number of these monocytes differentiating into macrophages, compared to cell migration and differentiation across the endothelium exposed to 5.6 mM glucose concentration. Also, for the endothelium exposed to 30 mM glucose concentration, there were nearly 2.5 times more T lymphocytes that migrated across the endothelium, along with significant cell proliferation, compared to cell migration across the endothelium exposed to 5.6 mM glucose concentration.     

Vascular endothelial growth factor can signal through platelet-derived growth factor receptors

Vascular endothelial growth factor (VEGF-A) is a crucial stimulator of vascular cell migration and proliferation. Using bone marrow-derived human adult mesenchymal stem cells (MSCs) that did not express VEGF receptors, we provide evidence that VEGF-A can stimulate platelet-derived growth factor receptors (PDGFRs), thereby regulating MSC migration and proliferation. VEGF-A binds to both PDGFRalpha and PDGFRbeta and induces tyrosine phosphorylation that, when inhibited, results in attenuation of VEGF-A-induced MSC migration and proliferation. This mechanism was also shown to mediate human dermal fibroblast (HDF) migration. VEGF-A/PDGFR signaling has the potential to regulate vascular cell recruitment and proliferation during tissue regeneration and disease.     

Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model

Cell differentiation, proliferation and migration are essential processes in tissue regeneration. Experimental evidence confirms that cell differentiation or proliferation can be regulated according to the extracellular matrix stiffness. For instance, mesenchymal stem cells (MSCs) can differentiate to neuroblast, chondrocyte or osteoblast within matrices mimicking the stiffness of their native substrate. However, the precise mechanisms by which the substrate stiffness governs cell differentiation or proliferation are not well known. Therefore, a mechano-sensing computational model is here developed to elucidate how substrate stiffness regulates cell differentiation and/or proliferation during cell migration. In agreement with experimental observations, it is assumed that internal deformation of the cell (a mechanical signal) together with the cell maturation state directly coordinates cell differentiation and/or proliferation. Our findings indicate that MSC differentiation to neurogenic, chondrogenic or osteogenic lineage specifications occurs within soft (0.1-1 kPa), intermediate (20-25 kPa) or hard (30-45 kPa) substrates, respectively. These results are consistent with well-known experimental observations. Remarkably, when a MSC differentiate to a compatible phenotype, the average net traction force depends on the substrate stiffness in such a way that it might increase in intermediate and hard substrates but it would reduce in a soft matrix. However, in all cases the average net traction force considerably increases at the instant of cell proliferation because of cell-cell interaction. Moreover cell differentiation and proliferation accelerate with increasing substrate stiffness due to the decrease in the cell maturation time. Thus, the model provides insights to explain the hypothesis that substrate stiffness plays a key role in regulating cell fate during mechanotaxis.     

Differential migration and proliferation of geometrical ensembles of cell clusters

Differential cell migration and growth drives the organization of specific tissue forms and plays a critical role in embryonic development, tissue morphogenesis, and tumor invasion. Localized gradients of soluble factors and extracellular matrix have been shown to modulate cell migration and proliferation. Here we show that in addition to these factors, initial tissue geometry can feedback to generate differential proliferation, cell polarity, and migration patterns. We apply layer by layer polyelectrolyte assembly to confine multicellular organization and subsequently release cells to demonstrate the spatial patterns of cell migration and growth. The cell shapes, spreading areas, and cell–cell contacts are influenced strongly by the confining geometry. Cells within geometric ensembles are morphologically polarized. Symmetry breaking was observed for cells on the circular pattern and cells migrate toward the corners and in the direction parallel to the longest dimension of the geometric shapes. This migration pattern is disrupted when actomyosin based tension was inhibited. Cells near the edge or corner of geometric shapes proliferate while cells within do not. Regions of higher rate of cell migration corresponded to regions of concentrated growth. These findings demonstrate that multicellular organization can result in spatial patterns of migration and proliferation.     

Possible involvement of protein kinase C in the induction of adipose differentiation-related protein by Sterol ester in RAW 264.7 macrophages

We studied the effects of BMP-7/OP-1 on growth and differentiation of bone marrow stromal cells. BMS2, a mouse bone marrow stromal cell line capable of differentiating into adipocytes and osteoblasts, were treated in a serum-free medium containing differentiation agents that favor the expression of both lineages. BMP-7/OP-1 stimulated cell proliferation and differentiation concomitantly. These effects were dose- and growth phase-dependent. Cells were more sensitive to the treatment early in the culture (30-40% confluence) with a significant increase in cell proliferation and markers of differentiation at low concentrations. When treated later in the growth phase (90-100% confluence), no significant increase in cell proliferation was seen. The concentration requirement for cells later in the culture to reach an equivalent degree of differentiation was 3-10- fold higher than for cells treated early. In both cases, the effects on adipocyte differentiation were biphasic; low concentrations stimulated adipocyte differentiation which was inhibited at higher concentrations where stimulation of osteoblast markers were observed. We conclude that cell proliferation and cell differentiation into adipocyte/osteoblast can occur simultaneously under BMP-7/OP-1 treatment.     

Feeding and Swimming Behavior in Grazing Microzooplankton1,2

ABSTRACT A random-walk model of food-searching behavior is considered for the microzooplankton. It is suggested that in still waters a random walk of the conventional sort, modeled by a Wiener process, is less efficient than a Levy walk (a random walk whose excursions follow a Levy distribution) with Levy parameter less than two. For Levy parameter less than one, however, little advantage is gained by further reduction. In turbulent water, on the other hand, dispersion due to a random walk is dominated by the turbulent diffusion of the medium so that the Levy parameter appears to be less important. The effect of chemosensory responses is considered. It is suggested that these are most useful in still water, whereas in turbulent water their value would be less, and a non-specific filtering behavior might be more plausible.     

Application of mechanoregulatory models to simulate peri-implant tissue formation in an in vivo bone chamber

Several mechanoregulatory tissue differentiation models have been proposed over the last decade. Corroboration of these models by comparison with experimental data is necessary to determine their predictive power. So far, models have been applied with various success rates to different experimental set-ups investigating mainly secondary fracture healing. In this study, the mechanoregulatory models are applied to simulate the implant osseointegration process in a repeated sampling in vivo bone chamber, placed in a rabbit tibia. This bone chamber provides a mechanically isolated environment to study tissue differentiation around titanium implants loaded in a controlled manner. For the purpose of this study, bone formation around loaded cylindrical and screw-shaped implants was investigated. Histologically, no differences were found between the two implant geometries for the global amount of bone formation in the entire chamber. However, a significantly larger amount of bone-to-implant contact was observed for the screw-shaped implant compared to the cylindrical implant. In the simulations, a larger amount of bone was also predicted to be in contact with the screw-shaped implant. However, other experimental observations could not be predicted. The simulation results showed a distribution of cartilage, fibrous tissue and (im)mature bone, depending on the mechanoregulatory model that was applied. In reality, no cartilage was observed. Adaptations to the differentiation models did not lead to a better correlation between experimentally observed and numerically predicted tissue distribution patterns. The hypothesis that the existing mechanoregulatory models were able to predict the patterns of tissue formation in the in vivo bone chamber could not be fully sustained.