The Thermodynamics of Development in Bioartificial Tissue Design.

The fabrication of bioartificial tissues with authentic structures that could assure their clinical efficacy remains a challenging problem. A new paradigm has emerged that designs bioartificial tissues as intermediate in development tissue forms, which can inherently progress autonomously on developmental pathways, self-organizing their cells into tissue structures as in their in vivo development. Biological processes involved in energy exchange between co-developing tissues are responsible for cell organization into the thermodynamically robust cellular patterns of tissue structures. Bioartificial tissue design rules that aim towards in vitro recapitulation of these processes can ensure the thermodynamic operation of developing tissues, leading to formation of the cellular patterns of tissue structures.

Modularity in developmental biology and artificial organs: a missing concept in tissue engineering.

Tissue engineering is reviving itself, adopting the concept of biomimetics of in vivo tissue development. A basic concept of developmental biology is the modularity of the tissue architecture according to which intermediates in tissue development constitute semiautonomous entities. Both engineering and nature have chosen the modular architecture to optimize the product or organism development and evolution. Bioartificial tissues do not have a modular architecture. On the contrary, artificial organs of modular architecture have been already developed in the field of artificial organs. Therefore the conceptual support of tissue engineering by the field of artificial organs becomes critical in its new endeavor of recapitulating in vitro the in vivo tissue development.

In vitro developmental neurotoxicity (DNT) testing: relevant models and endpoints.

Environmental chemicals have a potential impact on children's health as the developing brain is much more vulnerable to injury caused by different classes of chemicals than the adult brain. This vulnerability is partly due to the fact that very complex processes of cell development and maturation take place within a tightly controlled time frame. So different stages of brain development are susceptible to toxic effects at different time points. Additionally the adult brain is well protected against chemicals by the blood brain barrier (BBB) whereas the placenta only partially protects against harmful chemical exposure. Many metals easily cross the placenta and BBB barrier since even after the birth BBB is not entirely differentiated (until about 6 months after birth). Additionally, the susceptibility of infants and children is due to increased exposure, augmented absorption rates, and less efficient ability of defense mechanism in comparison to adults. The In Vitro Session during the 12th International Neurotoxicology Association meeting (Jerusalem, June, 2009) provided the opportunity to discuss the new challenges that have to be faced to create new type of safety assessments for regulatory requirements. The integration of various tests into testing strategies as well as combination of information-rich approaches with bioinformatics was discussed. Furthermore relevant models and endpoints for developmental neurotoxicity (DNT) evaluation using in vitro approach were presented. The primary neuronal cultures of cerebellar granule cells (CGCs) as well as 3D aggregate model and the possible application of human embryonic and adult stem cells was discussed pointing out the potential of these models to be used for DNT testing. The presented systems are relevant for DNT evaluation as the key processes of brain development such cell proliferation, migration and neuronal/glial differentiation are present. Furthermore, emerging technologies such as gene expression, electrical activity measurements and metabonomics have been identified as promising tools. In a combination with other assays the in vitro approach could be included into a DNT intelligent testing strategy to speed up the process of DNT evaluation mainly by initial prioritization of chemicals with DNT potential for further testing.

Developmental engineering: a new paradigm for the design and manufacturing of cell-based products. Part II: from genes to networks: tissue engineering from the viewpoint of systems biology and network science.

The field of tissue engineering is moving toward a new concept of "in vitro biomimetics of in vivo tissue development." In Part I of this series, we proposed a theoretical framework integrating the concepts of developmental biology with those of process design to provide the rules for the design of biomimetic processes. We named this methodology "developmental engineering" to emphasize that it is not the tissue but the process of in vitro tissue development that has to be engineered. To formulate the process design rules in a rigorous way that will allow a computational design, we should refer to mathematical methods to model the biological process taking place in vitro. Tissue functions cannot be attributed to individual molecules but rather to complex interactions between the numerous components of a cell and interactions between cells in a tissue that form a network. For tissue engineering to advance to the level of a technologically driven discipline amenable to well-established principles of process engineering, a scientifically rigorous formulation is needed of the general design rules so that the behavior of networks of genes, proteins, or cells that govern the unfolding of developmental processes could be related to the design parameters. Now that sufficient experimental data exist to construct plausible mathematical models of many biological control circuits, explicit hypotheses can be evaluated using computational approaches to facilitate process design. Recent progress in systems biology has shown that the empirical concepts of developmental biology that we used in Part I to extract the rules of biomimetic process design can be expressed in rigorous mathematical terms. This allows the accurate characterization of manufacturing processes in tissue engineering as well as the properties of the artificial tissues themselves. In addition, network science has recently shown that the behavior of biological networks strongly depends on their topology and has developed the necessary concepts and methods to describe it, allowing therefore a deeper understanding of the behavior of networks during biomimetic processes. These advances thus open the door to a transition for tissue engineering from a substantially empirical endeavor to a technology-based discipline comparable to other branches of engineering.

Developmental engineering: a new paradigm for the design and manufacturing of cell-based products. Part I: from three-dimensional cell growth to biomimetics of in vivo development.

Recent advances in developmental biology, systems biology, and network science are converging to poise the heretofore largely empirical field of tissue engineering on the brink of a metamorphosis into a rigorous discipline based on universally accepted engineering principles of quality by design. Failure of more simplistic approaches to the manufacture of cell-based therapies has led to increasing appreciation of the need to imitate, at least to some degree, natural mechanisms that control cell fate and differentiation. The identification of many of these mechanisms, which in general are based on cell signaling pathways, is an important step in this direction. Some well-accepted empirical concepts of developmental biology, such as path-dependence, robustness, modularity, and semiautonomy of intermediate tissue forms, that appear sequentially during tissue development are starting to be incorporated in process design.

The complementarity of the technical tools of tissue engineering and the concepts of artificial organs for the design of functional bioartificial tissues.

Although tissue engineering uses powerful biological tools, it still has a weak conceptual foundation, which is restricted at the cell level. The design criteria at the cell level are not directly related with the tissue functions, and consequently, such functions cannot be implemented in bioartificial tissues with the currently used methods. On the contrary, the field of artificial organs focuses on the function of the artificial organs that are treated in the design as integral entities, instead of the optimization of the artificial organ components. The field of artificial organs has already developed and tested methodologies that are based on system concepts and mathematical-computational methods that connect the component properties with the desired global organ function. Such methodologies are needed in tissue engineering for the design of bioartificial tissues with tissue functions. Under the framework of biomedical engineering, artificial organs and tissue engineering do not present competitive approaches, but are rather complementary and should therefore design a common future for the benefit of patients.