NOS2 and CCL27: Clinical implications for psoriasis and eczema diagnosis and management.

Chronic inflammatory skin diseases such as psoriasis and eczema are a major medical challenge. Development of highly specific therapies for both conditions is opposed by the lack of translation of basic knowledge into biomarkers for clinical use. Furthermore, to distinguish psoriasis from eczema might be difficult occasionally, but specific and costly therapies would not be efficient in misdiagnosed patients. In the era of high-throughput 'omics'-technologies, comparing the molecular signature of psoriasis and eczema is a promising approach to gain insight into their complex pathogeneses and develop new diagnostic and therapeutic strategies. Investigating patients affected by both psoriasis and eczema simultaneously, we recently constructed a disease classifier consisting of only two genes (NOS2 and CCL27) that reliably predicts the correct diagnosis even in clinically unclear cases. When such easy-to-handle approaches are combined with individual therapeutic response, we might reach the ultimate goal of personalized medicine in inflammatory skin diseases in near future

T-cell‒mediated autoimmunity: Mechanisms and future directions.

T cells are key drivers of autoimmunity in numerous noncommunicable inflammatory skin diseases by directly harming host tissue or through helping B cells in producing autoantibodies. Technological advances have contributed to identifying autoantigens, the Holy Grail of autoimmunity, in many inflammatory disorders of the skin. Novel therapeutic approaches such as chimeric (auto)antibody receptor T cells are a milestone on the way to finding individualized, well-tolerated, targeted therapies. This review summarizes the current knowledge on pathogenesis, immune response pattern‒related ontology, diagnostic approaches, and treatment options of autoimmune skin diseases

The relevance of CMV reactivation in immunocompromised patients suffering from chronic inflammatory skin diseases.

Aromatic hydrocarbons belong to the most abundant contaminants in groundwater systems. They can serve as carbon and energy source for a multitude of indigenous microorganisms. Predictions of contaminant biodegradation and microbial growth in contaminated aquifers are often vague because the parameters of microbial activity in the mathematical models used for predictions are typically derived from batch experiments, which don't represent conditions in the field. In order to improve our understanding of key drivers of natural attenuation and the accuracy of predictive models, we conducted comparative experiments in batch and sediment flow-through systems with varying concentrations of contaminant in the inflow and flow velocities applying the aerobic Pseudomonas putida strain F1 and the denitrifying Aromatoleum aromaticum strain EbN1. We followed toluene degradation and bacterial growth by measuring toluene and oxygen concentrations and by direct cell counts. In the sediment columns, the total amount of toluene degraded by P. putida F1 increased with increasing source concentration and flow velocity, while toluene removal efficiency gradually decreased. Results point at mass transfer limitation being an important process controlling toluene biodegradation that cannot be assessed with batch experiments. We also observed a decrease in the maximum specific growth rate with increasing source concentration and flow velocity. At low toluene concentrations, the efficiencies in carbon assimilation within the flow-through systems exceeded those in the batch systems. In all column experiments the number of attached cells plateaued after an initial growth phase indicating a specific "carrying capacity" depending on contaminant concentration and flow velocity. Moreover, in all cases, cells attached to the sediment dominated over those in suspension, and toluene degradation was performed practically by attached cells only. The observed effects of varying contaminant inflow concentration and flow velocity on biodegradation could be captured by a reactive-transport model. By monitoring both attached and suspended cells we could quantify the release of new-grown cells from the sediments to the mobile aqueous phase. Studying flow velocity and contaminant concentrations as key drivers of contaminant transformation in sediment flow-through microcosms improves our system understanding and eventually the prediction of microbial biodegradation at contaminated sites