CD44 expression on murine hepatic stellate cells promotes the induction of monocytic and polymorphonuclear myeloid-derived suppressor cells.

In chronic inflammation, regulatory immune cells, such as regulatory T cells and myeloid-derived suppressor cells, can develop. Local signals in the inflamed tissue, such as cytokines and eicosanoids, but also contact-dependent signals, can promote myeloid-derived suppressor cell development. In the liver, hepatic stellate cells may provide such signals via the expression of CD44. Myeloid-derived suppressor cells generated in the presence of hepatic stellate cells and anti-CD44 antibodies were functionally and phenotypically analyzed. We found that both monocytic and polymorphonuclear myeloid-derived suppressor cells generated in the presence of αCD44 antibodies were less suppressive toward T cells as measured by T-cell proliferation and cytokine production. Moreover, both monocytic and polymorphonuclear myeloid-derived suppressor cells were phenotypically altered. Monocytic myeloid-derived suppressor cells mainly changed their expression of CD80 and CD39, and polymorphonuclear myeloid-derived suppressor cells showed altered expression of CD80/86, PD-L1, and CCR2. Moreover, both polymorphonuclear and monocytic myeloid-derived suppressor cells lost expression of Nos2 messenger RNA, whereas monocytic myeloid-derived suppressor cells showed reduced expression of TGFb messenger RNA and polymorphonuclear myeloid-derived suppressor cells reduced expression of Il10 messenger RNA. In summary, the presence of CD44 in hepatic stellate cells promotes the induction of both monocytic and polymorphonuclear myeloid-derived suppressor cells, although the mechanisms by which these myeloid-derived suppressor cells may increase suppressive function due to interaction with CD44 are only partially overlapping.

Influence of Microstructure on the Material Properties of LLZO Ceramics Derived by Impedance Spectroscopy and Brick Layer Model Analysis.

Variants of garnet-type Li7La3Zr2O12 are being intensively studied as separator materials in solid-state battery research. The material-specific transport properties, such as bulk and grain boundary conductivity, are of prime interest and are mostly investigated by impedance spectroscopy. Data evaluation is usually based on the one-dimensional (1D) brick layer model, which assumes a homogeneous microstructure of identical grains. Real samples show microstructural inhomogeneities in grain size and porosity due to the complex behavior of grain growth in garnets that is very sensitive to the sintering protocol. However, the true microstructure is often omitted in impedance data analysis, hindering the interlaboratory reproducibility and comparability of results reported in the literature. Here, we use a combinatorial approach of structural analysis and three-dimensional (3D) transport modeling to explore the effects of microstructure on the derived material-specific properties of garnet-type ceramics. For this purpose, Al-doped Li7La3Zr2O12 pellets with different microstructures are fabricated and electrochemically characterized. A machine learning-assisted image segmentation approach is used for statistical analysis and quantification of the microstructural changes during sintering. A detailed analysis of transport through statistically modeled twin microstructures demonstrates that the transport parameters derived from a 1D brick layer model approach show uncertainties up to 150%, only due to variations in grain size. These uncertainties can be even larger in the presence of porosity. This study helps to better understand the role of the microstructure of polycrystalline electroceramics and its influence on experimental results.

3D Impedance Modeling of Metal Anodes in Solid-State Batteries-Incompatibility of Pore Formation and Constriction Effect in Physical-Based 1D Circuit Models.

A non-ideal contact at the electrode/solid electrolyte interface of a solid-state battery arising due to pores (voids) or inclusions results in a geometric constriction effect that severely deteriorates the electric transport properties of the battery cell. The lack of understanding of this phenomenon hinders the optimization process of novel components, such as reversible and high-rate metal anodes. Deeper insight into the constriction phenomenon is necessary to correctly monitor interface degradation and to accelerate the successful use of metal anodes in solid-state batteries. Here, we use a 3D electric network model to study the fundamentals of the constriction effect. Our findings suggest that dynamic constriction as a non-local effect cannot be captured by conventional 1D equivalent circuit models and that its electric behavior is not ad hoc predictable. It strongly depends on the interplay of the geometry of the interface causing the constriction and the microscopic transport processes in the adjacent phases. In the presence of constriction, the contribution from the non-ideal electrode/solid electrolyte interface to the impedance spectrum may exhibit two signals that cannot be explained when the porous interface is described by a physical-based (effective medium theory) 1D equivalent circuit model. In consequence, the widespread assumption of a single interface contribution to the experimental impedance spectrum may be entirely misleading and can cause serious misinterpretation.