Sequencing of the complex CTRB1-CTRB2 locus in chronic pancreatitis.

BACKGROUND: /Objectives: A recent Genome-wide Association Study (GWAS) in alcoholic chronic pancreatitis (ACP) identified a novel association with the CTRB1-CTRB2 (chymotrypsinogen B1, B2) locus, linked to a 16.6 kb inversion that was confirmed in non-alcoholic chronic pancreatitis (NACP). Moreover, recent findings on the function of CTRB1 and CTRB2 suggest a protective role in pancreatitis development. The aim of the present study was to investigate the CTRB1-CTRB2 locus for rare genetic variants associated with chronic pancreatitis (CP). METHODS: We analyzed 134 patients with ACP and 203 patients with NACP and compared them to up to 258 healthy controls. Genotyping was performed with polymerase chain reaction, followed by Sanger sequencing of all exons and the exon-intron-boundaries of CTRB1 and CTRB2. Finally, in silico analyses of the identified variants were conducted. RESULTS: None of the seven rare missense variants or the single 5'-UTR variant in CTRB1 and CTRB2 was associated with ACP or NACP. In silico analysis predicted that variant p. Trp5Leu in CTRB1 and variant c.-4C > T in CTRB2 might alter protein expression and variants p. Asp222His in CTRB1 and p. Ala247Thr in CTRB2 might affect protein function. However, all of these variants were also described in public databases. CONCLUSIONS: The present study did not reveal an association of rare variants in CTRB1 and CTRB2 with ACP or NACP. Although rare missense variants were almost exclusively found in patients, only four variants were predicted to affect protein expression or function. Thus, a major influence of rare variants in the CTRB1-CTRB2 locus on CP development is unlikely.

DMSO and Its Role in Differentiation Impact Efficacy of Human Adenovirus (HAdV) Infection in HepaRG Cells.

Differentiated HepaRG cells are popular in vitro cell models for hepatotoxicity studies. Their differentiation is usually supported by the addition of dimethyl sulfoxide (DMSO), an amphipathic solvent widely used in biomedicine, for example, in potential novel therapeutic drugs and cryopreservation of oocytes. Recent studies have demonstrated drastic effects, especially on epigenetics and extracellular matrix composition, induced by DMSO, making its postulated inert character doubtful. In this work, the influence of DMSO and DMSO-mediated modulation of differentiation on human adenovirus (HAdV) infection of HepaRG cells was investigated. We observed an increase in infectivity of HepaRG cells by HAdVs in the presence of 1% DMSO. However, this effect was dependent on the type of medium used for cell cultivation, as cells in William's E medium showed significantly stronger effects compared with those cultivated in DMEM. Using different DMSO concentrations, we proved that the impact of DMSO on infectability was dose-dependent. Infection of cells with a replication-deficient HAdV type demonstrated that the mode of action of DMSO was based on viral entry rather than on viral replication. Taken together, these results highlight the strong influence of the used cell-culture medium on the performed experiments as well as the impact of DMSO on infectivity of HepaRG cells by HAdVs. As this solvent is widely used in cell culture, those effects must be considered, especially in screening of new antiviral compounds.

A hyperelastic model for simulating cells in flow.

In the emerging field of 3D bioprinting, cell damage due to large deformations is considered a main cause for cell death and loss of functionality inside the printed construct. Those deformations, in turn, strongly depend on the mechano-elastic response of the cell to the hydrodynamic stresses experienced during printing. In this work, we present a numerical model to simulate the deformation of biological cells in arbitrary three-dimensional flows. We consider cells as an elastic continuum according to the hyperelastic Mooney-Rivlin model. We then employ force calculations on a tetrahedralized volume mesh. To calibrate our model, we perform a series of FluidFM[Formula: see text] compression experiments with REF52 cells demonstrating that all three parameters of the Mooney-Rivlin model are required for a good description of the experimental data at very large deformations up to 80%. In addition, we validate the model by comparing to previous AFM experiments on bovine endothelial cells and artificial hydrogel particles. To investigate cell deformation in flow, we incorporate our model into Lattice Boltzmann simulations via an Immersed-Boundary algorithm. In linear shear flows, our model shows excellent agreement with analytical calculations and previous simulation data.