References of "Geris, Liesbet"
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See detailA hybrid model for the simulation of angiogenesis during bone fracture healing
Geris, Liesbet ULg; Peiffer, Veronique; Gerisch, Alf et al

in Proceedings of the 17th conference of the European Society of Biomechanics (2010)

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See detailA mathematical model describing the biology of orthodontic tooth movement
Van Schepdael, A.; Vander Sloten, Jos; Geris, Liesbet ULg

in Goh Cho Hong, James; Teck Lim, Chwee (Eds.) proceedings of the 6th world congress on biomechanics (2010)

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See detailCrosstalk Modeling of Wnt, BMP and ERK Pathways during osteochondrogenic differentiation
Geris, Liesbet ULg; Vandeput, Maarten; Roberts, Scott et al

in proceedings of the International Symposium on Biomechanics and Biology of Bone Regeneration “From Functional Assessment To Guided Tissue Formation (2009, November)

The in vitro engineering of tissues may be achieved by mimicking in vivo tissue development. Although multiple skeletal tissue engineering applications already exist, the underlying mechanisms at protein ... [more ▼]

The in vitro engineering of tissues may be achieved by mimicking in vivo tissue development. Although multiple skeletal tissue engineering applications already exist, the underlying mechanisms at protein level are often poorly understood. Growth factors and protein pathways precisely navigate mesenchymal stem cells trough the correct cascades. A detailed understanding of these cascades will enable us to develop efficient and robust production methods, which are required for large scale tissue engineering applications. Multiple studies hypothesize that the Wnt/β-catenin pathway acts as a switching mechanism to determine the differential fate of esenchymal cells in osteoblasts or chondrocytes during skeletogenesis. The concentration of β-catenin is a key factor in this mechanism. Wnt upregulates the productionof β-catenin which in turn upregulates Runx2 and downregulates Sox9. High concentrations of Runx2 relative to Sox9 lead to osteoblasts, while the opposite situation leads to chondrocytes. Crosstalks of the Wnt pathway with other pathways such as that of BMP and ERK expand the amount of factors that can influence β-catenin, turning the linear signaling cascade into a complex network with multiple starting conditions. A mathematical model was derived from literature describing the pathways of BMP, Wnt and ERK as well as various crosstalks between these pathways that were suggested in literature. CellDesigner™ was used to formulate, solve and visualize the Ordinary Differential Equations describing the temporal evolution of the various model constituents. Multiple starting conditions (various concentrations of BMP, Wnt and ERK) were examined to clarify the crosstalk effect. Modeling various crosstalks proposed in literature resulted in a mutual inhibitory effect between Wnt and BMP signaling, an effect independently described in literature. Experiments are ongoing to corroborate the model predictions. [less ▲]

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See detailDesign of treatment strategies for an atrophic nonunion case in fracture healing
Geris, Liesbet ULg; Vander Sloten, Jos; Van Oosterwyck, Hans

in proceedings of the IVth International Conference on Computational Bioengineering (2009)

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See detailMathematical modeling of bone regeneration during fracture healing
Geris, Liesbet ULg; Vander Sloten, Hans; Van Oosterwyck, Hans

in proceedings of the National Conference on Theoretical and Applied Mechanics (2009)

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See detailModelling at the biological/biomechanical interface: fracture healing case studies
Geris, Liesbet ULg

in Exploring the biological/biomechanics interface (2009)

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See detailThe biology of bone formation in orthodontic tooth movement: a mathematical model
van Schepdael, A.; Vander Sloten, Jos; Geris, Liesbet ULg

in Proceedings of the International Conference on Mathematical Biology 2009 (2009)

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See detailNumerical simulation of bone regeneration in a bone chamber.
Geris, Liesbet ULg; Vandamme, K.; Naert, I. et al

in Journal of Dental Research (2009), 88(2), 158-63

While mathematical models are able to capture essential aspects of biological processes like fracture healing and distraction osteogenesis, their predictive capacity in peri-implant osteogenesis remains ... [more ▼]

While mathematical models are able to capture essential aspects of biological processes like fracture healing and distraction osteogenesis, their predictive capacity in peri-implant osteogenesis remains uninvestigated. We tested the hypothesis that a mechano-regulatory model has the potential to predict bone regeneration around implants. In an in vivo bone chamber set-up allowing for controlled implant loading (up to 90 microm axial displacement), bone tissue formation was simulated and compared qualitatively and quantitatively with histology. Furthermore, the model was applied to simulate excessive loading conditions. Corresponding to literature data, implant displacement magnitudes larger than 90 microm predicted the formation of fibrous tissue encapsulation of the implant. In contradiction to findings in orthopedic implant osseointegration, implant displacement frequencies higher than 1 Hz did not favor the formation of peri-implant bone in the chamber. Additional bone chamber experiments are needed to test these numerical predictions. [less ▲]

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See detailIn silico biology of bone modelling and remodelling: regeneration.
Geris, Liesbet ULg; Vander Sloten, J.; Van Oosterwyck, H.

in Philosophical Transactions : Mathematical, Physical & Engineering Sciences (2009), 367(1895), 2031-53

Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms ... [more ▼]

Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms involved still remain to be elucidated. Over the last decade, many mathematical models have been established to investigate the regeneration process in silico. The first models considered only the influence of the mechanical environment as a regulator of the healing process. These models were followed by the development of bioregulatory models where mechanics was neglected and regeneration was regulated only by biological stimuli such as growth factors. The most recent mathematical models couple the influences of both biological and mechanical stimuli. Examples are given to illustrate the added value of mathematical regeneration research, specifically in the in silico design of treatment strategies for non-unions. Drawbacks of the current continuum-type models, together with possible solutions in extending the models towards other time and length scales are discussed. Finally, the demands for dedicated and more quantitative experimental research are presented. [less ▲]

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See detailBiomaterial Surface Characteristics Modulate the Outcome of Bone Regeneration around Endosseous Oral Implants: In Silico Modeling
Amor, Nadya; Geris, Liesbet ULg; Vander Sloten, Jos et al

in Miller, Karol; Nielsen, Poul M.F. (Eds.) MICCAI 2009 Workshop Proceedings (2009)

Experimental investigations have demonstrated the importance of platelets and their activation for bone regeneration around oral implants. This study aimed to numerically demonstrate the key role of ... [more ▼]

Experimental investigations have demonstrated the importance of platelets and their activation for bone regeneration around oral implants. This study aimed to numerically demonstrate the key role of activated platelets which is controlled by implant surface characteristics. The cellular activities involved in the process of peri-implant endosseous healing can be represented by migration, proliferation, differentiation, removal, extracellular matrix synthesis and degradation, and growth factor production/release and decay. These activities are described by a system of highly coupled non-linear partial differential equations of taxis–diffusion–reaction type. Moreover, cell–biomaterial interactions were treated by including surface-specific model parameters. A well-designed in vivo model that looked at healing around oral implants with different surface properties was selected from literature to validate the results. Numerical simulations agreed well with the experimentally observed healing response and demonstrated that platelet-related model parameters, which were dependent on implant surface characteristics, modulate the pattern of healing. [less ▲]

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See detailModelling the early phases of bone regeneration around an endosseous oral implant
Amor, N.; Geris, Liesbet ULg; Vander Sloten, J. et al

in Computer Methods in Biomechanics & Biomedical Engineering (2009), 12(4), 459-468

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 ... [more ▼]

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. [less ▲]

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See detailModelling of in vitro mesenchymal stem cell cultivation, chondrogenesis and osteogenesis
Geris, Liesbet ULg; Peiffer, Véronique; Demol, Jan et al

in Journal of Biomechanics (2008, July), 41

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See detailMathematical modelling of atrophic non-union and its treatment
Geris, Liesbet ULg; Vander Sloten, Jos; VanOosterwyck, Hans

in Proceedings of the International symposium on Biomechanics and Biology of Bone Healing (2008)

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See detailA mechanobioregulatory model for the study of bone fracture healing
Geris, Liesbet ULg; Gerisch, A.; Weiner, R. et al

in Proceedings of the European Conference on Mathematical and Theoretical Biology (2008)

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See detailDevelopment of a mechanobiological model of bone formation in orthodontic tooth movement
Van Schepdael, A.; Geris, Liesbet ULg; Vander Sloten, Jos

in Proceedings of the European Conference on Mathematical and Theoretical Biology (2008)

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See detailMathematical modelling of bone regeneration during fracture healing
Geris, Liesbet ULg; VanderSloten@mech.kuleuven.be, Jos; VanOosterwyck, Hans

in proceedings of the OPTEC Topical Workshop on Parameter Estimation in Differential Equations (2008)

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See detailA mathematical model of bone regeneration including angiogenesis: relevance for tissue engineering strategies
Van Oosterwyck, Hans; Vander Sloten, Jos; Geris, Liesbet ULg

in European Cells and Materials (2008), Vol. 14(Suppl. 1,), 29

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See detailAn integrated mathematical modelling framework for the study of bone fracture healing
Geris, Liesbet ULg; Vander Sloten, Jos; Van Oosterwyck, Hans

in Journal of Biomechanics (2008), 41

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See detailMathematical modelling of bone regeneration including angiogenesis: design of treatment strategies for atrophic non-unions
Geris, Liesbet ULg; Vander Sloten, Jos; Van Oosterwyck, Hans

in Proceedings of the 54th Annual Meeting of the Orthopaedic Research Society (2008)

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See detailComputational modelling of peri-implant bone healing considering cell-biomaterial interactions
Amor, Nadya; Geris, Liesbet ULg; Vander Sloten, Jos et al

in Arbor, Ann (Ed.) Proceedings of the North American Congress on Biomechanics (2008)

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