Die Rolle von Fragile X Mental Retardation Protein bei der Parkinson-Krankheit

Recent research suggests α-synuclein (α-Syn)-induced alterations in neuronal excitability contribute to cell death in Parkinson's disease (PD). The Fragile X Mental Retardation Protein (FMRP) controls the expression of numerous genes related to cell excitability. Here, we found a reduced FMRP expression in PD cell culture and mouse models. In addition, FMRP expression was also lost in the brain of PD patients. Overall, our results reveal a new role of FMRP in PD.Neuere Forschungen legen nahe, dass α-Synuclein (α-Syn)-induzierte Veränderungen der neuronalen Erregbarkeit zum Zelltod bei der Parkinson-Krankheit (PD) beitragen. Das Fragile X Mental Retardation Protein (FMRP) kontrolliert die Expression zahlreicher Gene, die die Erregbarkeit von Nervenzellen kontrollieren. Wir fanden eine reduzierte FMRP-Expression in PD-Zellkultur- und Mausmodellen. Darüber hinaus war die FMRP-Expression auch im Gehirn von PD-Patienten reduziert. Insgesamt zeigen unsere Ergebnisse eine neue Rolle von FMRP in der Parkinson-Krankheit

Statistical millimeter wave channel modelling for 5G and beyond

Millimetre wave (mmWave) wireless communication is one of the most promising technologies for the fifth generation (5G) wireless communication networks and beyond. The very broad bandwidth and directional propagation are the two features of mmWave channels. In order to develop the channel models properly reflecting the characteristics of mmWave channels, the in-depth studies of mmWave channels addressing those two features are required. In this thesis, three mmWave channel models and one beam alignment scheme are proposed related to those two features. First, for studying the very broad bandwidth feature of mmWave channels, we introduce an averaged power delay profile (APDP) method to estimate the frequency stationarity regions (FSRs) of channels. The frequency non-stationary (FnS) properties of channels are found in the data analysis. A FnS model is proposed to model the FnS channels in both the sub-6 GHz and mmWave frequency bands and cluster evolution in the frequency domain is utilised in the implementation of FnS model. Second, for studying the directional propagation feature of mmWave channels, we develop an angular APDP (A-APDP) method to study the planar angular stationarity regions (ASRs) of directional channels (DCs). Three typical directional channel impulse responses (D-CIRs) are found in the data analysis and light-of-sight (LOS), non-LOS (NLOS), and outage classes are used to classify those DCs. A modified Saleh-Valenzuela (SV) model is proposed to model the DCs. The angular domain cluster evolution is utilised to ensure the consistency of DCs. Third, we further extend the A-APDP method to study the spherical-ASRs of DCs. We model the directional mmWave channels by three-state Markov chain that consists of LOS, NLOS, and outage states and we use stationary model, non-stationary model, and “null” to describe the channels in each Markov state according to the estimated ASRs. Then, we propose to use joint channel models to simulate the instantaneous directional mmWave channels based on the limiting distribution of Markov chain. Finally, the directional propagated mmWave channels when the Tx and Rx in motion is addressed. A double Gaussian beams (DGBs) scheme for mobile-to-mobile (M2M) mmWave communications is proposed. The connection ratios of directional mmWave channels in each Markov state are studied

Enzyme Catalyzed and Ultrasound Assisted Transformation of Selected Pollutants

The widespread use of synthetic drugs and as feed additives has resulted in the release of large amounts of biologically active chemicals into the environment. Exposure to environmentally relevant concentrations of chemicals can have severe effects on human health. Therefore, effective degradation of these synthetic, biologically active compounds is of paramount importance. Diphenhydramine (DPH) has been selected as a target compound for ultrasound remediation. The results demonstrated that ultrasound-induced degradation has potential applications in managing aqueous media contaminated with DPH. Atorvastatin and roxarsone have been selected as representative substrates for chloroperoxidase (CPO) catalyzed transformation of pollutants. These studies demonstrate atorvastatin and roxarsone can be degraded efficiently by CPO. The transformation products of each compound were identified and the mechanisms of CPO catalysis postulated. This study provides a foundation for assessing the feasibility of applying CPO in the remediation of water and soil contaminated with pharmaceuticals and feed additives