University of Münster

About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Catalysis. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.

Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Abstract: Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.

Ultrathin, highly flexible and stretchable PLEDs

Abstract: Ultrathin sheets of polymer LEDs that emit light even when being crumpled or stretched have been realized The 2-μm-thick devices emit red or orange light with a sufficiently high brightness for indoor applications, and they could prove useful for integration with textiles

S100 proteins expressed in phagocytes: a novel group of damage-associated molecular pattern molecules

Abstract: Damage-associated molecular pattern (DAMP) molecules have been introduced as important proinflammatory factors of innate immunity. One example known for many years to be expressed in cells of myeloid origin are phagocytic S100 proteins, which mediate inflammatory responses and recruit inflammatory cells to sites of tissue damage. An emerging concept of pattern recognition involves the multiligand receptor for advanced glycation end products (RAGE) and Toll-like receptors (TLRs) in sensing not only pathogen-associated molecular patterns (PAMPs) but also endogenous DAMPs, including S100 proteins. S100A8, S100A9, and S100A12 are found at high concentrations in inflamed tissue, where neutrophils and monocytes belong to the most abundant cell types. They exhibit proinflammatory effects in vitro at concentrations found at sites of inflammation in vivo. Although S100A12 binds to RAGE, at least part of the proinflammatory effects of the S100A8/S100A9 complex depend upon interaction with other receptors. Because of the divergent expression patterns, the absence of S100A12 in rodents, the different interaction partners described, and the specific intracellular and extracellular effects reported for these proteins, it is important to differentiate between distinct S100 proteins rather than subsuming them with the term "S100/calgranulins." Analyzing the molecular basis of the specific effects exhibited by these proteins in greater detail bears the potential to elucidate important mechanisms of innate immunity, to establish valid biomarkers of phagocytic inflammation, and eventually to reveal novel targets for innovative anti-inflammatory therapies.