[Complement--a phylogenetically old system as a new player in the development of atherosclerosis]

Atherosclerotic diseases such as coronary artery disease and ischaemic stroke are caused by chronic inflammation in arterial vessel walls. The complement system is part of the innate immune system. It is involved in many processes contributing to onset and development of atherosclerotic plaques up to the final stage of acute thrombotic events. This is due to its prominent role in inflammatory processes. In addition, there is increasing evidence that interactions between complement and coagulation provide a link between inflammation and thrombosis. On the other hand, the complement system also has an atheroprotective function through the clearance of apoptotic material. The knowledge of these complex mechanisms will become increasingly important, also for clinicians, since it may lead to novel therapeutic and diagnostic options. Therapies targeting the complement system have the potential to reduce tissue damage caused by acute ischaemic events. Whether early anti-inflammatory and anti-complement therapy may be able to prevent atherosclerosis, remains a hot topic for research.

Spike-based decision learning of nash equilibria in two-player games

Humans and animals face decision tasks in an uncertain multi-agent environment where an agent's strategy may change in time due to the co-adaptation of others strategies. The neuronal substrate and the computational algorithms underlying such adaptive decision making, however, is largely unknown. We propose a population coding model of spiking neurons with a policy gradient procedure that successfully acquires optimal strategies for classical game-theoretical tasks. The suggested population reinforcement learning reproduces data from human behavioral experiments for the blackjack and the inspector game. It performs optimally according to a pure (deterministic) and mixed (stochastic) Nash equilibrium, respectively. In contrast, temporal-difference(TD)-learning, covariance-learning, and basic reinforcement learning fail to perform optimally for the stochastic strategy. Spike-based population reinforcement learning, shown to follow the stochastic reward gradient, is therefore a viable candidate to explain automated decision learning of a Nash equilibrium in two-player games.

Endothelial cell protection in xenotransplantation: looking after a key player in rejection

The endothelium, as an organ at the interface between the intra- and extravascular space, actively participates in maintaining an anti-inflammatory and anti-coagulant environment under physiological conditions. Severe humoral as well as cellular rejection responses, which accompany cross-species transplantation of vascularized organs as well as ischemia/reperfusion injury, primarily target the endothelium and disrupt this delicate balance. Activation of pro-inflammatory and pro-coagulant pathways often lead to irreversible injury not only of the endothelial layer but also of the entire graft, with ensuing rejection. This review focuses on strategies targeted at protecting the endothelium from such damaging effects, ranging from genetic manipulation of the donor organ to soluble, as well as membrane-targeted, protective strategies.

Death by patent foramen ovale in a soccer player

A 34-year-old male patient was referred for primary percutaneous coronary intervention for ST-segment elevation myocardial infarction with cardiogenic shock and was found to have embolic left coronary artery occlusion and subsegmental pulmonary artery emboli as a consequence of venous thrombosis to trauma to the thigh in the presence of a patent foramen ovale.

TimX, a novel player in protein import across the inner mitochondrial membrane of T. brucei

Mitochondrial protein import is an essential function of the unique mitochondrion in T. brucei as roughly 1000 different nuclear encoded proteins need to be correctly localized to their mitochondrial subcompartment. For this reason the responsible import machinery is expected to be similarly complex as in other Eukaryotes. This was recently demonstrated for the translocation machinery in the outer mitochondrial membrane. In contrast, the composition of the inner membrane import machinery and the exact molecular pathway(s) taken by various substrates are still ill-defined. To elucidate this further, we performed a pulldown analysis of epitope tagged TbTim17 in combination with quantitative mass spectrometry. By this we identified novel components of the mitochondrial import machinery in trypanosomes. One of these, TimX, is an essential mitochondrial membrane protein of 42 kDa that is unique to kinetoplastids. This protein migrates on Blue Native PAGE in a high molecular weight complex similar to TbTim17. Ablation of either of the two proteins leads to a destabilization of the complex containing the other protein. Furthermore, its involvement in protein import could be demonstrated by in vivo and in vitro protein import assays. This corroborates that TimX together with TbTim17 forms a protein import complex in the inner mitochondrial membrane. As TbTim17 the TimX protein was subjected to pulldown analysis in combination with quantitative mass spectrometry. The overlap of candidates defined by these two sets of IPs likely defines further components of the inner membrane translocase which are presently being analyzed. In summary our study on novel components of the trypanosome mitochondrial protein import system gives us fascinating new insights into evolution of the mitochondrion.