A Unidirectional 96-Well Fluidic Culture Platform for Upstream Cell Dosing with Subsequent Downstream Nonlinear and Ascending Exposure Gradients for Real-Time and Cell-Based Toxicity Screening Environments.

Introduction: Because of the importance to create in vitro screening tools that better mimic in vivo models, for exposure responses to drugs or toxicants, reproducible and adaptable culture platforms must evolve as approaches to replicate functions that are native to human organ systems. The Stairstep Waterfall (SsWaterfall) Fluidic Culture System is a unidirectional, multiwell, gravity-driven, cell culture system with micro-channels connecting 12 wells in each row (8-row replicates). Materials and Methods: The construct allows for the one-way flow of medium, parent and metabolite compounds, and the cellular signaling between connected culture wells while simultaneously operating as a cascading flow and discretized nonlinear dosing device. Initial cell seeding in SsWaterfall mimics traditional static plate protocols but thereafter functions with controlled flow and ramping concentration versus time exposure environments. Results: To investigate the utility of a microfluidic system for predicting drug efficacy and toxicity, we first delineate device design, fabrication, and characterization of a disposable dosing and gradient-exposure platform. We start with detailed characterizations by demarcating various features of the device, including low nonspecific binding, wettability, biocompatibility with multiple cell types, intra-well and inter-well flow, and efficient auto-mixing properties of dose compounds added into the platform. Discussion: We demonstrate the device utility using an example in sequential testing-screening drug toxicity and efficacy across wide-ranging inducible exposures, 0 → IC100, featuring real-time assessments. Conclusion: The integrated auto-gradient technology, gravity flow with stairstep pathways, offers end-users an easy and quick alternative to evaluate broad-ranging toxicity of new compound entities (e.g., pharmaceutical, environmental, agricultural, cosmetic) as opposed to traditional/arduous manual drug dilutions and/or expensive robotic technology.

Effects of enhanced O(2) transport on hepatocytes packed within a bioartificial liver device.

The functional performance of an extracorporeal bioartificial liver (BAL) device requires that suitable nutrient pathways exist to support the hepatocytes packed within it. Consequently the limited transport distance of the nutrient oxygen is a limiting factor in the scale-up of many BAL designs. In this study the porosity of a collagen extracellular matrix is increased to evaluate how enhanced O(2) transport alters the viability and functional performance of gel-entrapped hepatocytes packed within a BAL. Our results indicate that the porous collagen increases the number of viable hepatocytes that can be supported by a single O(2) source. Furthermore, the results illustrate that, compared with normal collagen, porous collagen extends the O(2) transport distance such that hepatocytes located at larger distances from the O(2) source of the BAL can be supported. Finally, the function results reveal that hepatocytes within the porous collagen experience significantly improved function over the control cultures. Hence our results demonstrate that enhancing O(2) transport through the extracellular matrix of densely packed BAL designs is one way to significantly improve the functionality of these devices.

High-throughput nuclear magnetic resonance metabolomic footprinting for tissue engineering.

We report a high-throughput (HTP) nuclear magnetic resonance (NMR) method for analysis of media components and a metabolic schematic to help easily interpret the data. Spin-lattice relaxation values and concentrations were measured for 19 components and 2 internal referencing agents in pure and 2-day conditioned, hormonally defined media from a 3-dimensional (3D) multicoaxial human bioartificial liver (BAL). The (1)H NMR spectral signal-to-noise ratio is 21 for 0.16 mM alanine in medium and is obtained in 12 min using a 400 MHz NMR spectrometer. For comparison, 2D gel cultures and 3D multicoaxial BALs were batch cultured, with medium changed every day for 15 days after inoculation with human liver cells in Matrigel-collagen type 1 gels. Glutamine consumption was higher by day 8 in the BAL than in 2D culture; lactate production was lower through the 15-day culture period. Alanine was the primary amino acid produced and tracked with lactate or urea production. Glucose and pyruvate consumption were similar in the BAL and 2D cultures. NMR analysis permits quality assurance of the bioreactor by identifying contaminants. Ethanol was observed because of a bioreactor membrane "wetting" procedure. A biochemical scheme is presented illustrating bioreactor metabolomic footprint results and demonstrating how this can be translated to modify bioreactor operational parameters or quality assurance issues.

Hedgehog signaling maintains resident hepatic progenitors throughout life.

Hedgehog signaling through its receptor, Patched, activates transcription of genes, including Patched, that regulate the fate of various progenitors. Although Hedgehog signaling is required for endodermal commitment and hepatogenesis, the possibility that it regulates liver turnover in adults had not been considered because mature liver epithelial cells lack Hedgehog signaling. Herein, we show that this pathway is essential throughout life for maintaining hepatic progenitors. Patched-expressing cells have been identified among endodermally lineage-restricted, murine embryonic stem cells as well as in livers of fetal and adult Ptc-lacZ mice. An adult-derived, murine hepatic progenitor cell line expresses Patched, and Hedgehog-responsive cells exist in stem cell compartments of fetal and adult human livers. In both species, manipulation of Hedgehog activity influences hepatic progenitor cell survival. Therefore, Hedgehog signaling is conserved in hepatic progenitors from fetal development through adulthood and may be a new therapeutic target in patients with liver damage.

Modeling O2 transport within engineered hepatic devices.

Predicting and improving oxygen transport within bioartificial liver (BAL) devices continues to be an important engineering challenge since oxygen is one of the critical nutrients necessary for maintaining hepatocyte viability and function. Such a computational model would not only help predict outcomes but it would also allow system modifications to be analyzed prior to developing experimental protocols. This would help to facilitate future design improvements while reducing both experimental time and capital resource costs, and is the focus of the current study. Specifically, a computational model of O(2) transport through collagen and microporous collagen ECMs is analyzed for hollow fiber (HF), flat plate (FP), and spheroid BAL designs. By modifying the O(2) boundary conditions, hepatocyte O(2) consumption levels, O(2) permeability of the ECM, and ECM void fractions, O(2) transport predictions are determined for each system as a function of time and distance. Accuracy of the predictive model is confirmed by comparing computational vs. experimental results for the HF BAL system. The model's results indicate that O(2) transport within all three BAL designs can be improved significantly by incorporating the enhancement technique. This technique modifies a diffusion-dominant gel ECM into a porous matrix with diffusive and convective flows that mutually transport O(2) through the ECMs. Although tortuous pathways increase the porous ECM's overall effective length of O(2) travel, the decreased transport resistances of these pathways allow O(2) to permeate more effectively into the ECMs. Furthermore, because the HF design employs convective flow on both its inner and outer ECM surfaces, greater control of O(2) transport through its ECM is predicted, as compared with the single O(2) source inputs of the flat plate and spheroid systems. The importance of this control is evaluated by showing how modifying the O(2) concentration and/or transfer coefficients of the convective flows can affect O(2) transport.